Next Article in Journal
Average Model of Switched-Energy-Tank Battery Equalizer for Accelerated Performance Assessment
Previous Article in Journal
Predictive Modeling of Renewable Energy Purchase Prices Using Deep Learning Based on Polish Power Grid Data for Small Hybrid PV Microinstallations
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Techno-Economic and Environmental Assessment of a Photovoltaic-Based Fast-Charging Station for Public Utility Vehicles

1
Electrical Machines Laboratory, Department of Electrical and Computer Engineering, Democritus University of Thrace, Kimmeria-Xanthi, 67132 Xanthi, Greece
2
Environmental Physics, Energy and Environmental Biology Laboratory, Department of Environment, Ionian University, Panagoula-Zakynthos, 29100 Zakynthos, Greece
3
Department of Photovoltaic Systems and Distributed Generation, Centre for Renewable Energy Sources and Saving (C.R.E.S.), 19th km Marathonos Av., Pikermi, 19009 Athens, Greece
*
Authors to whom correspondence should be addressed.
Energies 2024, 17(3), 632; https://doi.org/10.3390/en17030632
Submission received: 27 November 2023 / Revised: 24 January 2024 / Accepted: 25 January 2024 / Published: 28 January 2024
(This article belongs to the Section F3: Power Electronics)

Abstract

:
The characterization of electric vehicles as environmentally friendly means of transportation hinges, on the one hand, upon the manner in which the energy for their charging is generated and, on the other hand, on the recyclability of the materials composing them, with primary emphasis on the recycling of batteries. Given that we are still in the early stages of electrification in road transportation, it can be argued that at least a decade is required for the development of a sustainable battery recycling industry. Conversely, the progressively increasing number of electric vehicles makes the necessity of charging them with clean, green energy imperative. In this context, this study examines the energy and economic aspects of replacing 50% of the public passenger vehicle fleet, which currently relies on internal combustion engines, with electric vehicles on the island of Zakynthos, Greece. Specifically, it calculates the energy needs of these vehicles and proposes methods for environmentally friendly electricity generation to meet the electrical demand. To assess the benefits for the owners of the charging stations and the electric vehicles, the Life-Cycle Cost Analysis (LCCA) method is employed for various scenarios regarding (a) the pricing of the supplied electrical energy for electric vehicle charging and (b) the evolution of fossil fuel prices. The study concludes by highlighting the environmental advantages of such an investment.

1. Introduction

Climate change has been expedited by human activities in the post-World War II era. Since then, dangerous changes have been triggered, including increased global temperatures, droughts, wildfires, alterations in the duration and timing of rainfall and rising sea levels. For these reasons, mitigating the effects of climate change and addressing its consequences have become imperative for humanity.
Undoubtedly, a significant contributing factor to the climate change issue is the increase in CO2 emissions due to population growth and the reliance on fossil fuels. It is worth noting that, from the year 1997 (the year the Kyoto Protocol was adopted) to 2022, the human population increased by 33% [1], while CO2 emissions rose by 51% [2,3]. Today, the primary sources of CO2 emissions worldwide are the Electricity, Industry, Transportation and Building Sectors [3]. In this context, the Paris Agreement serves as a global tool aimed at mitigating the consequences of climate change by focusing on reducing greenhouse gas (GHG) emissions [4].
The Electricity Sector, the primary source of CO2 emissions, is gradually integrating Renewable Energy Sources (RES). However, similar progress is not as evident in other sectors [4]. Specifically, in 2020 and 2021, the share of RES in global electricity production reached 28.5%, nearly half of the 2030 target, with wind and photovoltaic (PV) stations accounting for over 10% of global electricity [5]. In the next 2 years, the installed capacity of RES is expected to increase by more than 8%, with PVs representing around 60% of the total RES capacity. Additionally, offshore wind system installations are estimated to double compared with 2020, while the added capacity of onshore wind parks is projected to decrease [4,5].
As for the Transportation Sector, which is the primary focus of the present work, there has been limited progress despite the 5 years that have passed since the ratification of the Paris Agreement [4]. Indeed, transports have the lowest use of RES, even though they represent one-third of the global energy demand. It is also worth mentioning that the Transportation Sector relies on fossil fuels for 91% of its final energy use, with only a minimum reduction of 3.5% since 1970 [6]. The mandatory use of biofuels in conventional vehicles with internal combustion engines (ICEs) can be considered the most significant step forward [7,8].
Figure 1 depicts the cumulative CO2 emissions of the primary sub-sectors within the European transportation industry [9]. By studying this figure, it becomes evident that road transportation is responsible for approximately 72% of the CO2 emissions due to the EU Transportation Sector. Consequently, many EU countries have already implemented policies such as tax incentives, subsidies and tax reductions to increase the number of pure battery EVs (BEVs) and plug-in hybrid EVs (PHEVs). Hereafter, in cases where there is no need to emphasize BEVs or HPEVs, the aforementioned vehicles will be collectively referred to as electric vehicles (EVs).
To address the potential insufficiency of the available charging infrastructure, the European Union (EU) has formulated directives and regulations with the goal of expanding electric vehicle charging networks. Specifically, on 28 March 2023, the European Parliament and the Council of the European Union revised the EU Alternative Fuel Infrastructure Regulation (EU-AFIR) of 2014 to offer more extensive support for electromobility at the European level. Significantly, the updated regulation now requires Member States to ensure that publicly accessible recharging stations provide a cumulative minimum power output of 1.3 kW for each light BEV and 0.8 kW for every PHEV registered within their territorial jurisdiction. Additionally, there is a mandating provision for Member States to establish a network of fast-charging stations situated every 60 km in both travel directions along the core Trans-European Transport Network (TEN-T) by 2025; this commitment extends to the comprehensive TEN-T by 2030. Regarding trucks and buses, the EU-AFIR introduces a distance-based target along the TEN-T. Specifically, the revised regulation requires that 15% of the entire TEN-T (both core and comprehensive) must be equipped with fast-charging stations for trucks positioned no more than 120 km apart. This requirement is set to increase to 50% by 2027 and eventually reach 100% by 2030 [10,11].
Unfortunately, until recently, EV charging stations have been based mainly on the utility grid, that is, on carbon-based fossil fuels; this practice causes huge environmental problems, and it is definitely unsustainable. Thus, it is apparent that RES-based charging infrastructure is a key to the mass adoption of EVs. Significant research on the minimization of EV charging stations’ carbon footprint is currently being performed in academia and the industry. Modern concepts, such as the optimal incorporation of both RES and energy storage, alternative energy sources such as hydrogen fuel cells and biomass, the smart charging idea with grid energy transactions and provision of ancillary services, as well as sophisticated energy management schemes, are currently being investigated.
Various recent works, i.e., [12,13,14,15,16,17,18,19,20,21], focus exclusively on RES and energy storage integration into EV charging stations and the impact of such infrastructure on the utility grid. The provision of ancillary services (e.g., peak shaving) is of paramount importance, whilst several works propose the use of incentives for EV users, such as time-of-use tariffs, to encourage them to charge their EVs during off-peak hours, where extra energy from RES exists [22]. This tariff directs users to charge their EVs efficiently, in an environmentally friendly manner, during the hours that RES production is high. The aforementioned technique is considered to be one of the three main types of smart charging, according to [23]. The second type is the unidirectional managed charging, which is a control strategy that takes into account the charging time, rate and duration based on electricity prices and power system needs. Finally, the third type of smart charging is the Vehicle-to-Grid (V2G) operation [13,24,25], which assists in the reduction of the environmental footprint of the Transportation Sector and in the sustainability of the utility grid.
Moreover, energy management schemes play a dominant role in RES-based EV charging infrastructure, whereas modern, sophisticated concepts include optimization models, stochastic models and machine learning algorithms to predict EV charging demands and compensate for the intermittent nature of renewables [14,17,18,26,27]. Finally, a significant issue to overcome when greater RES-based energy amounts are produced is the need for larger energy storage capacity. Nowadays, notable research effort is devoted to innovative technologies for electrochemical energy storage, leading to several new types and concepts for both lead-acid and lithium-ion batteries [21,26,27,28,29].
Building upon the aforementioned works, this study investigates the feasibility of replacing 50% of the fleet of public utility vehicles (PUVs) with exclusively public utility electric vehicles (EPUVs) at Zakynthos Island, Greece. Furthermore, it investigates the installation of a PV-fast charging EV station to facilitate their electric supply. It is worth noting that Zakynthos serves as a representative case study of the operation of a weak island electrical grid, the reliability of which is scrutinized during the summer (touristic) period due to a significant seasonal increase in electrical demand. A similar seasonal load profile and weak grid conditions prevail in all Greek islands and Mediterranean touristic destinations in general. Therefore, the findings of this case study can be extrapolated to this broader geographical area, thereby augmenting the significance of this work’s contribution.
In the following sections, the sustainability of this study is assessed from energy, techno-economic and environmental standpoints. Notably, unlike owners of EV charging stations along national highways, where the frequency of facility usage is uncertain (resulting in high costs for electric vehicle charging), the green charging station for EPUVs is characterized by predetermined facility usage, enabling the establishment of more affordable charging prices. Consequently, a pricing strategy is pursued to mutually benefit both the owners of the green charging stations (ensuring amortization in terms of private market dynamics and fast payback) and the owners of EPUVs. With regards to EPUV owners, the procurement cost of green electrical energy is anticipated to yield reduced usage expenses compared to a conventional public utility vehicle with a Euro 6 diesel engine. To address the above issues, a Life-Cycle Cost Analysis (LCCA) method is employed, considering various scenarios related to the pricing of the supplied electrical energy for electric vehicle charging and the evolution of fossil fuel prices.
Additionally, in determining the optimal installed capacity of the PV station for the green refueling of EPUVs, factors considered include limitations arising from tourist exploitation of island areas (restricted land use for non-touristic purposes), electrical constraints resulting from the seasonal variation in electrical demand in Mediterranean island regions and any available energy programs that promote the development of Renewable Energy Sources.
In conclusion, it is crucial to highlight that the techno-economic assessment, along with the energy planning and management methodology employed in this study, may pave the path toward a swift transition to greener transportations allowing for a compensated social impact. In addition to the case examined in the present study, the owners of petrol or gas stations could be considered as potential owners/investors of green electric vehicle charging stations. In lieu of PUV owners, potential stakeholders might include rental car companies, tourist mini-bus associations, or, on a broader scale, owners of electric marine taxis.

2. The Electromobility at a National Level

Considering that EVs are more energy-efficient compared with conventional vehicles, the continuous increase in their sales can contribute to a CO2 reduction [30]. This is underscored by recent research outcomes at a European level, which have estimated that electric vehicles are poised to capture a market share between 30% and 40% of annual sales over the next 10 years. In a similar vein, hybrid vehicles are expected to secure a share of 15% to 25% of the market.
Regarding the penetration rate of electric vehicles at the national level, Table 1 provides information about EV sales in Greece from 2019 to 2022. These data show that the number of EVs in Greece has been significantly increased during the last 4 years [31]; this can be attributed to various factors, such as economic incentives and the consumers’ environmental sensitization. Moreover, in 2020, the annual number of classified vehicles had been reduced due to the COVID-19 pandemic and the related mobility restrictions. However, the trend was reversed the following year as travel restrictions were lifted and people returned to their daily activities.
Despite the significant increase in the number of EVs within the past 3 years, they still represent a small portion of the total passenger transport fleet in Greece. Indeed, in 2022, gasoline or diesel vehicles accounted for nearly 95.58% of the total transport fleet, while 4.42% corresponded to alternative fuel vehicles. The latter category included 0.11% of the total transport fleet for BEVs and 0.22% for PHEVs. The majority of alternative fuel vehicles (4.09%) used liquified natural gas (LNG) and compressed natural gas (CNG) [31].
Figure 2 provides some information about the share of BEVs and PHEVs out of the total amount of EVs in Greece [31]. These data show that the sales of BEVs do not exceed 40% of the total EV sales, which differs from the situation in the EU, where BEVs and PHEVs are sold in a balanced manner. However, a shift toward BEVs in the European market occurred in 2022. Specifically, in that year, BEV sales surpassed PHEV sales, representing 56% of new EV sales. This shift towards pure BEVs can be attributed to the increased energy autonomy and a reduction in the ownership cost for new BEVs. Nevertheless, PHEVs remain popular among consumers who prioritize flexibility and ease in their daily routes.
Today, Greece boasts numerous EV charging stations, a result of the increased presence of both private and public EV charging facilities, as well as the efforts made by municipalities to develop EV charging infrastructure plans. The technical guidelines for EV charging infrastructure plans are referred to the Government Gazette B’ 4380/2020. The estimation of the number of EVs expected to be on Greek roads by 2030 is detailed in the National Energy and Climate Plan (NECP) [32]. For the Transportation Sector, the NECP analyzes two scenarios for the penetration of EVs on Greek roads with the goal of reducing GHG emissions, particularly CO2 emissions. The first scenario is a more moderate approach, projecting that EVs will constitute 24.1% of new registrations in 2030. The second scenario is more optimistic, estimating that EVs will make up around 30% of new registrations by 2030.
At this point, it is worth mentioning that the Ministry of Infrastructure and Transport recognizes the contribution of public utility vehicles (PUVs, Taxis) to the atmospheric pollution in the urban centers of Greece. To address this issue, they are developing a subsidy program for the acquisition of pure battery electric PUVs (EPUVs) under the National Recovery and Resilience Plan “Greece 2.0” [33]. This subsidy covers 40% of the pre-tax retail price (VAT not included), and there is also a EUR 500 subsidy for the purchase of a “smart” charger. In total, the subsidy amounts to 50% of the PUV’s retail price. Eligible beneficiaries of the program will all be owners of Euro 5 or older-category PUVs.
Although EVs are undoubtedly characterized by higher efficiency than conventional vehicles, their “green” character in their operational phase depends on the source of the used electrical energy [34]. Figure 3 illustrates the CO2 emissions from gasoline ICE vehicles and BEVs throughout their life cycle in Europe. The assessment of CO2 emissions is conducted under two distinct scenarios: (a) vehicles that were registered in Europe in the year 2021, taking into account the electricity mix of that year, and (b) vehicles that will be registered in the year 2030, with considerations made for the envisioned electricity mix of that future period. Moreover, CO2 emissions throughout a vehicle’s life cycle are classified into subcategories, encompassing manufacturing and maintenance, as well as fuel or electricity production and fuel emissions. Notably, the manufacturing and maintenance subcategory also incorporates battery manufacturing in the context of BEVs. The data pertain to medium-sized vehicles covering a distance of approximately 243,000 km during their life cycle [34].
According to Figure 3, it can be inferred that the life-cycle emissions of BEVs registered in Europe in 2021 were lower by approximately 66% compared with gasoline cars. Looking ahead to 2030, the life-cycle emissions gap between BEVs and gasoline vehicles is expected to reach 77% [34]. However, achieving this improvement necessitates the fulfillment of the objectives outlined in the Paris Agreement. This, in turn, implies that the share of RES in Europe’s gross final energy consumption should be heightened, and consequently, the electricity used for charging EVs will predominantly originate from Renewable Energy Sources.
The present study is oriented in this direction, seeking a sustainable model from both the perspective of EPUV owners and that of the proprietors of electric vehicle charging stations, with a focus on replacing a significant percentage of PUVs with EPUVs. Furthermore, the study explores the supply of green energy to support these vehicles, particularly in regions with weak electrical grids, such as the islands of Greece and, more generally, the Mediterranean tourist destinations.

3. Replacement of 50% of the Conventional PUVs with EVs in Zakynthos

Zakynthos, also known as Zante, is a Greek island located in the Ionian Sea, off the western coast of mainland Greece. It is part of the Ionian Island group, and it is situated to the west of the Peloponnese peninsula. The island of Zakynthos hosts a substantial number of tourists each year, particularly during the summer period (June to September). According to formal data from the FRAPORT company for the national airport of “Dionisios Solomos” in Zakynthos, the total number of visitors in 2023 (from June to September) reached 1,717,961 [35]. Considering also visitors arriving through the coastal connections between Kyllini and Zakynthos, as well as those arriving by private ships, the total number of visitors exceeds 2,000,000. Tourists typically visit various attractions, accommodations and other areas using PUVs. From June to September, these vehicles operate numerous routes daily, covering approximately 40,000 km over 122 days (an average of 330 km per day), despite the fact that the island’s coastline is only 123 km long.
The total number of PUV licenses in Zakynthos amounts to 100. This number of Taxis operates only between June and September, while the rest of the year, the number of PUVs on the roads does not exceed 30. Although PUVs are diesel vehicles and do not contribute to an increase in CO2 emissions, their engines emit significant amounts of carbon monoxide, nitrogen oxides and hydrocarbons. These emissions are exacerbated in the case of outdated technology vehicles, which use engines older than those in the Euro 6 category (these outdated PUVs constitute the majority of Taxis on the island of Zakynthos).
It is worth noting that similar circumstances exist in all Greek islands and Mediterranean tourist places in general. Hence, our case study and its outcomes can be projected to this wide area, increasing the value of this work’s contribution.
Next, the replacement of 50% of the conventional PUVs with EPUVs on the island off Zakynthos is examined from both economic and energy-environmental perspectives. Additionally, renewable electricity production and demand–response strategies are proposed to address the technical limitations of the island’s electricity network during the summer period when PUV usage is at its peak.

3.1. The Electricity Network of Zakynthos

Although Zakynthos is connected to the mainland’s electricity grid through high-voltage (150 kV) submarine cables, it faces energy limitations due to its restricted capacity. Specifically, the interconnection between Killini (mainland port) and Zakynthos was initially established in the early 1980s with the installation of a 150 kV AC submarine cable. Additionally, Zakynthos is linked to the island of Kefalonia via a submarine cable of a lower nominal capacity. The total capacity of the Zakynthos distribution grid is constrained within the range of 120 to 150 MVA. This capacity is comprised of three 150/20 kV distribution transformers, each with a capacity of 40/50 MVA [36,37]. In Figure 4, the submarine interconnections of Zakynthos with the electrical transmission system of the mainland (Killini) and Kefalonia island are distinguished. Furthermore, the map depicts both existing connections (indicated by solid lines) and planned connections (indicated by dashed lines) between the mainland and the other Greek island complexes [36].
Considering the above, it is evident that the electricity network of Zakynthos encounters limitations in its power supply capabilities, primarily determined by the constraints of the submarine interconnection lines and the capacity of the distribution transformers. These limitations are particularly pronounced during the summer period when there is a significant seasonal increase in electrical demand. Given that the charging of EVs contributes to this seasonal electric load, the only viable approach to ensure the reliability of this service while maintaining the smooth operation of the island’s electricity grid is the installation of local renewable energy production in conjunction with energy storage. This combination serves to balance energy transactions between EV charging stations and the distribution electricity grid.

3.2. Pure Battery Electric PUV Selection

To facilitate the selection of EPUVs as a replacement for the conventional ones, several technical parameters should be considered, such as EV battery capacity, electrical consumption and energy autonomy. Additionally, factors such as the capability to support fast charging and the volume of the cargo space were taken into account as well.
Typically, EV manufacturers provide consumption and autonomy figures in terms of the Worldwide Harmonized Light Vehicles Test Procedure (WLTP). Based on data from 25 EV manufacturers, the average battery capacity is 60.8 kWh, the average energy autonomy is 363.7 km and the average electricity consumption is 157.2 Wh/km [38]. However, a slight increase in the average speed of the moving car, as well as the use of the air conditioning and the infotainment systems, may lead to a 20% increase in the vehicle’s energy consumption, resulting in a reduction in energy autonomy.
Considering that, at present, most drivers charge their EVs in a manner similar to the refueling of their former conventional vehicles, it can be easily deduced that in cases of vehicles that do not support fast charging, drivers may have to wait for a significant amount of time to complete a full charge. This situation may cause discomfort for the driver, whereas it results in economic losses for professional drivers. The waiting time depends on the availability of charging stations and their electricity power. For instance, taking into account the average capacity of the aforementioned EV manufacturers (i.e., 60.8 kWh), the required time for a battery to charge from an initial State of Charge (SOC) of 20% to 90% (i.e., 42.6 kWh) for the three widely adopted charging modes (i.e., Mode I—3.7 kWAC, Mode II—22 kWAC, and Mode III—50 kWDC) will range from 11 h and 30 min down to 51 min [25].
Using the information provided in [38] and some additional data sourced from Electric Vehicle manufacturers, the Mercedes EQE 350 4MATIC [39] has been identified as an appealing model to replace conventional PUVs. Table 2 summarizes the technical specifications of the proposed EV. Despite the nominal battery capacity being 100 kWh, a decision was made to limit the discharge to 90 kWh to preserve the battery lifespan. Additionally, a 20% increase in the EVs energy consumption was considered due to the use of the air conditioning system during the summer period, resulting in an energy consumption of 21.5 kWh/100 km. Consequently, the energy autonomy of the selected EV is estimated to be 420 km (for the specific case study), which is 27% higher than the average daily route of 330 km that is covered by each PUV during the summer period. Consequently, only one full charge is necessary per day.
Additionally, taking into account that the PUVs under study cover routes of 40,000 km from June to September, with an energy consumption of 21.5 kWh/100 km, the cumulative energy consumption for 50 EPUVs is estimated to be 430 MWh for the summer period. Lastly, the installation of 10 fast-charging direct current stations, each with a nominal power of 150 kW, is proposed for charging the 50 EPUVs. In this scenario, it would take less than 40 min to charge the EV battery to 90 kWh (full charge).

3.3. RES Selection for the EV Charging

As has been previously mentioned, to classify pure battery PUVs as environmentally friendly and maximize the associated environmental benefits, it is imperative that the required energy be renewable. Zakynthos is an island with considerable solar potential. Considering the optimal tilt and orientation of PV modules, based on meteorological data from the Photovoltaic Geographical Information System (PVGIS) of the Institute for Energy and Transport at the Joint Research Centre (JRC), the estimated annual energy production in Zakynthos is 1551 kWh/kWp [40].
Consequently, to generate the required electricity (430 MWh) between June and September, a 660 kWp PV system must be installed. While such a PV system would generate the required amount of energy during the mentioned time period, it poses a challenge as it would also produce a substantial amount of energy (613 MWh) during periods of low EV charging demand (October to May). Additionally, the installation of a 660 kWp PV system necessitates a considerable land commitment, a fact that may not be well-received by the local community. This is particularly noteworthy due to the limited geographical expanse of the island and the essential need to maintain its landscape aesthetics for touristic purposes. The above factors pose challenges to achieving a favorable investment payback period. Therefore, within the scope of this project, it is advisable to install a smaller PV system capable of producing 430 MWh annually. This would entail the use of the annual PV production on an accounting basis, particularly during the period from June to September, through net-metering for self-producers.
The net metering for the self-producers’ regime was delineated in the Ministerial Decision APEEIL/A/F1/econ.24461 (Government Gazette B’ 3583/31.12.2014). According to this arrangement, the synchronization of energy production with consumption is not obligatory. Specifically, the electricity generated by the PV system is used to power electrical loads, such as the EV charging station in the case under study. Any surplus energy produced by the PV system is fed back to the grid, particularly during the period from October to May in our case. The self-producer receives credit for this excess energy, which can be used to offset the cost of electricity obtained from the grid during periods when the PV system does not generate sufficient power to meet the demand of the charging station.
In an effort to avoid committing available land for the PV station installation, the use of the roofs of Zakynthos Central Interurban Bus Station (ZCIBS) was considered. Consequently, the slope angle of the PV modules was chosen to be 6° (considerably less than the optimal value of 31° for the Zakynthos region). This decision facilitates the installation of PV panels on the Central Interurban Bus Station roofs, enabling maximum energy production during the summer months while ensuring esthetically acceptable results. The selection of installation locations for the charging station points was conducted in accordance with the relevant EV Charging Infrastructure Plans outlined in Government Gazette B’ 4390/2020.
With the assistance of the PVGIS, it was calculated that a 1 kWp PV system in the specified area with a 6° slope angle and optimal Azimuth angle of −2° produces 1437 kWh/kWp annually. The proposed solution leads to reduced energy production compared with developing a PV park at an optimal tilt of 7.35%. Nevertheless, considering the multiple uses of this specific space, the proposed site seems to be the optimal choice. Taking into account the reduced annual energy production of 1437 kWh/kWp, it is estimated that the installed capacity of the PV system (capable of generating 430 MWh annually) amounts to 300 kWp.
The monthly energy production of the PV system of 300 kWp is depicted in Figure 5. Considering the results of Figure 5, it is proved that the proposed PV system produces around 198 MWh during the June–September period, i.e., 46% of the required energy, while over the remaining 8 months, the PV production is equal to 232 MWh, offsetting the demand on an accounting basis within the period of high EV charging load demand.
Assuming that the PV canopy will be constructed with bifacial PV panels with a nominal power of 600 W, its total surface area amounts to 1300 m2. Additionally, considering the bifacial gain (which represents the ability to absorb light from the rear side of a PV to produce electricity), it is concluded that the PV system energy yield can be increased between 3% and 8% compared with common white backsheet PV modules of the same power level (depending on the ground reflectivity and the albedo value) [41,42]. Therefore, an additional quantity of 13–34 electric MWh can be generated and used by the 30 EPUVs that remain in operation for the rest of the year, ensuring additional electric energy for 2000–5300 km per EPUV.
Figure 6 illustrates the average hourly output power of the 300 kWp photovoltaic system for the typical day of each month, covering the period from June to September. By examining this figure, it becomes evident that, between 10:00 and 15:00, the output power of the PV system surpasses 150 kW from June to August, while for September, this value is achieved between 11:00 and 14:00. Therefore, these time intervals represent the time frames during which the output power of the PV system can fully support the required power for charging an EPUV. However, such an approach would result in poor use of the generated photovoltaic energy.
In order to maximize the use of the generated green energy, the following paragraph presents a generalized charging plan for 50 EPUVs on a daily basis. This plan not only maximizes the use of the generated green electrical power but it also minimizes the occurrence of high peaks in electrical demand from the island distribution grid.

4. Results

4.1. Comprehensive Schedule for Charging 50 EPUVs during a Typical Day in Each Month

Table 3 presents the charging schedule for 50 EPUVs during a typical day in each month, while Figure 7a–c illustrate the hourly energy production allocation within the typical day in each month. As previously mentioned, the objective of scheduling daily charges is to maximize the use of generated solar energy and limit peaks in electrical power demand from the local electrical grid. The scheduling is based on the assumptions outlined in Section 3.2. Specifically, each EPUV requires roughly 70.95 kWh for its daily charging (on average, each vehicle covers 330 km on a daily basis with an energy consumption of 21.5 kWh/100 km).
It is worth noting that the meteorological conditions during the aforementioned months are relatively stable. As a result, the daily photovoltaic production profile exhibits relatively limited fluctuations compared with that of the corresponding monthly typical day. However, any deviation, such as a cloudy or rainy day, will impact the photovoltaic system’s production profile.
The analysis of the aforementioned figures leads to the conclusion that there is full use of photovoltaic production. Specifically, in accordance with the suggested schedule for EPUV charging, the self-consumption index for each month reaches 100%, while the self-sufficiency indices for the months spanning from June to September are 49.82%, 52.35%, 46.80% and 35.88%, respectively. Additionally, it is apparent that, in any case, the average hourly power drawn from the electrical grid for the charging of the 50 Electric Plug-in Utility Vehicles (EPUVs) does not exceed 150 kW.

4.2. Life-Cycle Cost Analysis of the Proposed PV-EPUV Charging Station

In this section, the Life-Cycle Cost Analysis (LCCA) of the proposed PV- EPUV charging station is conducted. In accordance with the operational principles of the net metering for the self-producers’ regime, the owner of the EPUV charging facilities will not receive invoices for energy supply and regulated charges (including Distribution Network and Transmission System charges, as well as the Special Duty of Greenhouse Gas Emissions charges) when using energy that is locally generated and consumed directly. Furthermore, the energy generated by the PV station between October and May, which is injected into the grid, will be used within the framework of net metering for self-producers during the period from June to September. For these amounts of energy, the owner of the charging facilities will be only billed for regulated charges, amounting to EUR 0.05/kWh.
Given that the proposed canopy for the installation of the PV system is owned by ZCIBS, it is advisable for the latter to act as the investor, which is responsible for the development of the green charging infrastructure for EPUVs. The owners of ZCIBS will come into a Power Purchase Agreement (PPA) with the owners of EPUVs, facilitating the direct sale/purchase of energy between the renewable energy producer (ZCIBS) and the electricity consumer (EPUVs). EPUV drivers will charge their vehicles within the premises of ZCIBS. In the following paragraphs, the focus is on determining the selling price of the green electrical energy generated by the owners of ZCIBS to the drivers of EPUVs. This pricing strategy aims to be mutually beneficial for both the owners of the green charging stations (ensuring amortization in terms of private market dynamics and fast payback) and the owners of EPUVs. Specifically, with regard to the owners of EPUVs, the purchasing price of green electrical energy should result in reduced usage costs compared with a conventional PUV with a Euro 6 diesel engine.
The techno-economic analysis is based on the economic and time parameters presented in Table 4. The detailed equations of the LCCA methodology used in the present work are presented in Appendix A.
According to the previous analysis, the under-study PV-EPUV charging station consists of a 300 kWp PV system and 10 150 kW DC fast-charging stations. Table 5 presents the costs of the installed equipment, as well as the annual maintenance and operational costs of the proposed PV fast-charging station.
In contrast to the proprietors of electric vehicle charging stations situated along national highways, where the frequency of facility use is uncertain, the green charging station for EPUVs ensures predetermined usage of its facilities. This enables the establishment of more competitive charging prices. The aim of investigating the charging price of the provided green energy is to find a low charging fee that would be mutually beneficial for both the charging station owner and the owners of the EPUVs. It is emphasized at this point that the investor/owner of the charging facilities is the owner of ZCIBS, while the owners/users of the EPUVs are the drivers of the former conventional PUVs. Next, three scenarios of electricity energy price costs are examined for the EPUVs’ charging: (i) EUR 0.30/kWh, (ii) EUR 0.40/kWh and (iii) EUR 0.45/kWh. It is noted that the electricity price costs for EV charging that are used in the present work are significantly lower than the current prices in the existing highway EV charging infrastructure (EUR 0.50–0.65/kWh) [43].
Next, in Figure 8, Figure 9 and Figure 10, the LCCA results of the PV-EPUV fast-charging station are presented, considering the three scenarios of charging price costs mentioned above and for three scenarios of investment subsidy as well (i.e., 0%, 25% and 50%).
In Table 6, the annual earnings and the payback period of the proposed EPUV charging station are summarized.
Based on the abovementioned results, it is proved that in case of no investment subsidy, the payback period of the proposed PV fast-charging station is achieved within 4 to 6 years, depending on the electricity price cost for EV charging. Conversely, in the case of 25% and 50% rate subsidy scenarios and for the considered charging costs, the payback period is reduced considerably, within a period of 2 to 5 years.

4.3. Life-Cycle Cost Analysis Results for the EPUVs

In this section, the sustainability of the EPUVs that charge their batteries from the proposed PV fast-charging station is examined compared to Euro 6 diesel PUVs. It is recalled here that this study examines the replacement of outdated PUV technology, which uses engines older than those of the Euro 6 category. These outdated public utility vehicles (PUVs) constitute the majority of taxis on the island of Zakynthos. The considered replacement options are either electric or diesel Euro 6 PUVs. It is noted that, according to European legislation, both electric and diesel Euro 6 PUVs are considered valid options for the replacement of vehicles with outdated technology. The analysis is conducted over a short-term period, i.e., 7 years, due to the uncertainty in the long-term prediction of fossil fuel prices. The comparison is conducted for the three electricity price cost scenarios (i.e., EUR 0.30/kWh, EUR 0.40/kWh and EUR 0.45/kWh) and for the three scenarios of diesel supply price. More specifically, the following diesel price cost scenarios are used: (i) constant diesel supply price (EUR 0.16/lt), (ii) 5% annual increase in diesel supply price and (iii) 5% annual decrease in diesel supply price. In the last two scenarios, the first-year diesel price is EUR 0.16/lt. In the case that the owners of outdated technology PUVs choose to replace their vehicles with new diesel Euro 6 PUVs rather than opting for new electric vehicles, an initial purchase value of EUR 40,000 is considered.
Table 7 presents the techno-economical parameters and operational specifications of conventional Euro 6 PUVs and EPUVs.
In Figure 11, Figure 12 and Figure 13, the LCCA results for the 7 years period analysis of a diesel Euro 6 PUV and an EPUV are presented for three scenarios of electricity sales and three scenarios of fluctuations in the fuel price.
Based on Figure 11, Figure 12 and Figure 13, it is concluded that over the 7 year period, the total acquisition, operation and maintenance costs of an EPUV are lower than in the case of diesel Euro 6 PUV for every scenario combination, despite the fact that the market price of the EPUV is higher by EUR 3500 (considering the subsidy that the market for electric EVs benefits from under the National Recovery and Resilience Plan “Greece 2.0”). However, the only exceptions are the cases of the EUR 0.40 and 0.45/kWh electricity price costs and the 5% annual decrease in the diesel supply price.
Last, in Table 8, the acquisition and operational costs of the electric and diesel Euro 6 PUVs are presented over the 7 year period, while in Table 9, the corresponding energy savings are summarized. The positive sign indicates energy savings, while the negative sign indicates that the use of EPUVs is more expensive. To sum up, it is worth noting that considering the EU policies after the war between Ukraine and Russia (that led to fossil fuel price increase), it is estimated that the two scenarios in which the use of EPUVs is shown to be more expensive than using conventional PUVs are particularly unlikely to occur.
Considering the abovementioned results, the case of EUR 0.30/kWh is considered to be the optimal scenario, leading to a payback period of 6 years for the PV fast-charging station investment (even in the case of no investment subsidy), while the EPUV operational costs are lower than in the diesel Euro 6 PUV case, considering the three scenarios of diesel supply cost examined in the present work. Actually, even in the case of no diesel supply increase within the next 7 years, the energy savings estimations for the EPUV drivers are higher than EUR 10,000.

5. Discussion of the Environmental Benefits

In the above part of the present study, the replacement of the Euro 3 old-technology PUVs with electric or diesel Euro 6 PUVs was examined. In this section, the environmental benefits of the replacement of 50 conventional PUVs with BEVs are analyzed. In these calculations, the following parameters are used: the average fuel consumption of the diesel Euro 6 PUVs is 6 lt/100 km, and the average route that each PUV operates during the summer period is 40,000 km. Lastly, the emission specifications of Euro 6 diesel engines are presented in Table 10 [44].
Based on the data presented in Table 10, Table 11 summarizes the reduction in emissions in the atmosphere thanks to the use of EPUVs. Lastly, it is noted that another significant benefit is the avoidance of transferring 120 tn of diesel fuel in the island of Zakynthos during the tourist season.

6. Conclusions

In the present work, the replacement of 50% of the total conventional PUV fleet with EPUVs on the island of Zakynthos was examined from both energy, techno-economic and environmental aspects. Specifically, the optimal electricity price cost for charging in a short time was estimated based on criteria such as the payback period of the PV-fast charging EV station (even in the case of no investment subsidy) and the operational cost of EPUVs in comparison with the operational costs of diesel Euro 6 PUVs. The investment of the proposed PV-fast charging EV station is sustainable through the expected 25 years of operation, considering that the payback period is achieved within the first 6 operating years. Moreover, the energy needs of PUVs were calculated, proposing a scheme of electricity generation from renewable sources and serving the electrical demand without occupying land and without causing significant disruptions to the island’s electricity grid. As for the vehicle owners, the amount of energy savings for EPUV drivers may approximately account for EUR 3000–20,000, depending on the given scenario. Furthermore, the amounts of hazardous pollutant emissions that are avoided from being released into the atmosphere by choosing EPUVs were calculated, leading to the conclusion that thanks to the mass use of EPUVs, the total amount of pollutant emissions released is reduced by 1.2 tons.
Finally, the environmental and economic benefits presented in this study highlight the role of other social groups that may potentially lose their economic activities during the transition of existing societies to green societies and economies. For instance, undertaking the role of investors in green charging infrastructure, the owners of petrol or gas stations may become crucial players in green transportation. Additionally, in considering the role of PUV owners, potential stakeholders are rental car companies, tourist mini-bus associations, or, on a broader scale, owners of electric marine taxis.

Author Contributions

Conceptualization, F.K., N.R., E.G., F.M., A.K. and N.P.; methodology, F.K., E.G., F.M. and A.K.; formal analysis, F.K., N.R., E.G. and F.M.; investigation, F.K., N.R., E.G. and F.M.; resources, F.K., N.R., E.G. and F.M.; data curation, F.K., N.R. and A.K.; writing—original draft preparation, F.K., N.R., E.G. and F.M.; writing—review and editing, N.R., A.K. and N.P.; visualization, F.K. and A.K.; supervision, A.K. and N.P.; project administration, A.K. and N.P.; Funding acquisition, F.K., N.R., A.K. and N.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the European Regional Development Fund of the European Union and the Greek National Funds through the Operational Program “Competitiveness, Entrepreneurship, and Innovation” within the framework of the “Research—Create—Innovate” call (project code: T2EDK-00136). Energies 17 00632 i001

Data Availability Statement

The data has been obtained from the references listed in the Reference section.

Conflicts of Interest

The authors declare no conflicts of interest.

Nomenclature

BEVs Battery Electric Vehicle
CNGCompressed Natural Gas
DCDirect Current
EUEuropean Union
EU-AFIREU Alternative Fuel Infrastructure Regulation
EPUVElectric Public Utility Vehicle
EVElectric vehicle
GHGGreenhouse Gas
ICEInternal Combustion Engine
JRCJoint Research Centre
IPTOIndependent Power Transmission Operator S.A.
LCCALife Cycle Cost Analysis
LNGLiquified Natural Gas
NECPNational Energy and Climate Plan
PHEVPlug-In-Hybrid Electric Vehicle
PPAPower Purchase Agreement
PUVPublic Utility Vehicle
PVPhotovoltaic
PVGISPhotovoltaic Geographical Information System
RESRenewable Energy Sources
SOCState of Charge
TEN-TTrans-European Transport Network
V2GVehicle-to-Grid
WLTPWorldwide Harmonized Light Vehicles Test Procedure
ZCIBSZakynthos Central Interurban Bus Station

Appendix A

The LCCA method calculates the total life cycle cost of the system, considering any future costs that are reduced to their present value (PV). In general, the reduction of any investment to its present value, considering the inflation rate, is calculated as:
P V = X · 1 d g · 1 1 + g 1 + d N = X · P V F ( d , g , N )
The purpose of the LCCA method used in this paper is to calculate the following:
(a)
the Initial Cost (IC) of the investment;
(b)
the payback period of the proposed investment.
The total present value of the proposed investment (PVTOT) is calculated using Equation (A2).
P V T O T = P V S Y S + P V M I S C + P V R E P + P V E N E R t · P V I N T P V I T C P V S V
The parameters of Equation (A2) will be described in the next paragraphs by giving their mathematical expressions.
  • Present value of the total system costs (PVSYS)
    P V S Y S = D · I C + P V L O A N
PVLOAN is expressed by Equation (A4):
P V L O A N = ( 1 D ) · I C · P V F ( d , 0 , N Δ ) P V F ( i , 0 , N Δ ) , N Δ N
Present value of annual interest (PVINT)
P V I N T = ( 1 D ) · I C · P V F ( d , i , N 1 ) · i 1 P V F ( i , 0 , N Δ ) + P V F ( d , 0 , N 1 ) P V F ( d , 0 , N Δ ) ,
where:
N1 = min (NΔ, N) and D = 0 (zero down payment is considered).
Present value of the funding of the investment (PVITC)
P V I T C = I 1 + D
Present value of operation and maintenance costs (PVMISC)
OM costs are repetitive costs during the analysis period, and they can be calculated using Equation (A7):
P V M I S C = O M · P V F ( d , g , N )
Present value of the energy cost that is supplied by the grid—according to the net metering scheme (PVENER)
P V E N E R = E · P V F ( d , e , N )
Present value of the replacement costs (PVREP)
In many cases, it may be necessary to replace some of the subsystems. The present value of the replacement cost is calculated using Equation (A9):
P V R E P = R ( 1 + g ) k = 1 r 1 + g 1 + d N k r + 1
Present value of the remaining value at the end of the life cycle (PVSV)
The PVSV calculation is related to the life cycle of the system. Given that PVSV is difficult to estimate, it is a common practice to extend the period of analysis up to the expected life period of the system. This is the reason for the LCCA extension to a 25-year period, so PVSV becomes the following:
P V S V = 0

References

  1. Roser, M.; Ritchie, H. How Has World Population Growth Changed over Time? 2023. Available online: https://ourworldindata.org/population-growth-over-time (accessed on 2 November 2023).
  2. Ritchie, H.; Roser, M.; Rosado, P. CO2 and Greenhouse Gas Emissions. 2020. Available online: https://ourworldindata.org/co2-and-greenhouse-gas-emissions (accessed on 2 November 2023).
  3. IEA. CO2 Emissions in 2022; IEA: Paris, France, 2023. Available online: https://www.iea.org/reports/co2-emissions-in-2022 (accessed on 21 November 2023).
  4. REN21. Renewables 2022 Global Status Report (Paris: REN21 Secretariat). 2022. Available online: https://www.ren21.net/gsr-2022/ (accessed on 22 November 2023).
  5. IEA. Renewable Energy Market Update, Renewable Energy Market Update Outlook for 2022 and 2023. Available online: https://www.iea.org/reports/renewable-energy-market-update-june-2023 (accessed on 14 November 2023).
  6. International Energy Agency. Available online: https://www.iea.org/energy-system/transport (accessed on 14 November 2023).
  7. IEA. Transport Reports 2022. Available online: https://www.iea.org/reports/transport (accessed on 11 November 2023).
  8. IRENA. Energy Transition. Available online: https://www.irena.org/industrytransport (accessed on 11 November 2023).
  9. IEA. World Energy Outlook 2022. 2022. Available online: https://www.iea.org/reports/world-energy-outlook-2022 (accessed on 11 November 2023).
  10. Directive 2014/94/EU of the European Parliament and of the Council of 22 October 2014 on the Deployment of Alternative Fuels Infrastructure Text with EEA Relevance. Available online: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A32014L0094 (accessed on 14 October 2023).
  11. Available online: https://theicct.org/publication/afir-eu-april2023/ (accessed on 5 November 2023).
  12. Shin, M.; Choi, D.-H.; Kim, J. Cooperative Management for PV/ESS-Enabled Electric Vehicle Charging Stations: A Multiagent Deep Reinforcement Learning Approach. IEEE Trans. Ind. Inform. 2020, 16, 3493–3503. [Google Scholar] [CrossRef]
  13. Bassa de los Mozos, A.; Chandra Mouli, G.R.; Bauer, P. Evaluation of topologies for a solar powered bidirectional electric vehicle charger. IET Power Electron. 2019, 12, 3675–3687. [Google Scholar] [CrossRef]
  14. Patel, A.R.; Vyas, D.R.; Markana, A.; Jayaraman, R. A Conceptual Model for Integrating Sustainable Supply Chain, Electric Vehicles, and Renewable Energy Sources. Sustainability 2022, 14, 14484. [Google Scholar] [CrossRef]
  15. Hao, D.; Qi, L.; Tairab, A.M.; Ahmed, A.; Azam, A.; Luo, D.; Pan, Y.; Zhang, Z.; Yan, J. Solar energy harvesting technologies for PV self-powered applications: A comprehensive review. Renew. Energy 2022, 188, 678–697. [Google Scholar] [CrossRef]
  16. Ivanov, R.; Evtimov, I.; Ivanova, D.; Staneva, G.; Kadikyanov, G.; Sapundzhiev, M. Possibilies for Improvement the Ecological Effect of Battery Electric Vehicles Using Renewable Energy. In Proceedings of the 2020 7th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2020, Ruse, Bulgaria, 12–14 November 2020; pp. 1–5. [Google Scholar]
  17. Lan, T.; Jermsittiparsert, K.; Alrashood, S.T.; Rezaei, M.; Al-Ghussain, L.; Mohamed, M.A. An Advanced Machine Learning Based Energy Management of Renewable Microgrids Considering Hybrid Electric Vehicles’ Charging Demand. Energies 2021, 14, 569. [Google Scholar] [CrossRef]
  18. Savio, D.A.; Juliet, V.A.; Chokkalingam, B.; Padmanaban, S.; Holm-Nielsen, J.B.; Blaabjerg, F. Photovoltaic Integrated Hybrid Microgrid Structured Electric Vehicle Charging Station and Its Energy Management Approach. Energies 2019, 12, 168. [Google Scholar] [CrossRef]
  19. Chen, N.; Wang, M.; Shen, X.S. Optimal PV sizing scheme for the PV-integrated fast charging station. In Proceedings of the 2016 8th International Conference on Wireless Communications and Signal Processing, WCSP 2016, Yangzhou, China, 13–15 October 2016; pp. 1–6. [Google Scholar]
  20. Marinescu, C.; Barote, L. Toward a practical solution for residential RES based EV charging system. In Proceedings of the 2017 International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2017 and 2017 International Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2017, Brasov, Romania, 25–27 May 2017; pp. 771–776. [Google Scholar]
  21. Shariff, S.M.; Alam, M.S.; Ahmad, F.; Rafat, Y.; Asghar, M.S.J.; Khan, S. System Design and Realization of a Solar-Powered Electric Vehicle Charging Station. IEEE Syst. J. 2020, 14, 2748–2758. [Google Scholar] [CrossRef]
  22. Das, R.; Thirugnanam, K.; Kumar, P.; Lavudiya, R.; Singh, M. Mathematical Modeling for Economic Evaluation of Electric Vehicle to Smart Grid Interaction. IEEE Trans. Smart Grid 2013, 5, 712–721. [Google Scholar] [CrossRef]
  23. Dimitriadou, K.; Rigogiannis, N.; Fountoukidis, S.; Kotarela, F.; Kyritsis, A.; Papanikolaou, N. Current Trends in Electric Vehicle Charging Infrastructure; Opportunities and Challenges in Wireless Charging Integration. Energies 2023, 16, 2057. [Google Scholar] [CrossRef]
  24. Ul-Haq, A.; Cecati, C.; Al-Ammar, E.A. Modeling of a Photovoltaic-Powered Electric Vehicle Charging Station with Vehicle-to-Grid Implementation. Energies 2017, 10, 4. [Google Scholar] [CrossRef]
  25. Robledo, C.B.; Oldenbroek, V.; Abbruzzese, F.; van Wijk, A.J. Integrating a hydrogen fuel cell electric vehicle with vehicle-to-grid technology, photovoltaic power and a residential building. Appl. Energy 2018, 215, 615–629. [Google Scholar] [CrossRef]
  26. Tran, V.T.; Islam, R.; Muttaqi, K.M.; Sutanto, D. An Efficient Energy Management Approach for a Solar-Powered EV Battery Charging Facility to Support Distribution Grids. IEEE Trans. Ind. Appl. 2019, 55, 6517–6526. [Google Scholar] [CrossRef]
  27. Torreglosa, J.P.; García-Triviño, P.; Fernández-Ramirez, L.M.; Jurado, F. Decentralized energy management strategy based on predictive controllers for a medium voltage direct current photovoltaic electric vehicle charging station. Energy Convers. Manag. 2016, 108, 1–13. [Google Scholar] [CrossRef]
  28. Bhatti, A.R.; Salam, Z.; Ashique, R.H. Electric Vehicle Charging Using Photovoltaic based Microgrid for Remote Islands. Energy Procedia 2016, 103, 213–218. [Google Scholar] [CrossRef]
  29. Al Wahedi, A.; Bicer, Y. Assessment of a stand-alone hybrid solar and wind energy-based electric vehicle charging station with battery, hydrogen, and ammonia energy storages. Energy Storage 2019, 1, e84. [Google Scholar] [CrossRef]
  30. Gielen, D.; Boshell, F.; Saygin, D.; Bazilian, M.D.; Wagner, N.; Gorini, R. The role of renewable energy in the global energy transformation. Energy Strategy Rev. 2019, 24, 38–50. [Google Scholar] [CrossRef]
  31. Available online: https://alternative-fuels-observatory.ec.europa.eu/transport-mode/road/greece (accessed on 2 November 2023).
  32. Available online: https://commission.europa.eu/publications/greece-draft-updated-necp-2021-2030_en (accessed on 6 November 2023).
  33. Available online: https://greece20.gov.gr/en/ (accessed on 4 November 2023).
  34. Bieker, G. A global comparison of the life-cycle greenhouse gas emissions of combustion engine and electric passenger cars. Communications 2021, 49, 847129-102. [Google Scholar]
  35. Available online: https://www.zth-airport.gr/uploads/sys_nodelng/2/2878/Zakinthos_09_Traffic_2023vs2022.pdf (accessed on 2 November 2023).
  36. Available online: https://www.admie.gr/en/node/9172 (accessed on 26 December 2023).
  37. Available online: https://www.admie.gr/en/nea/deltia-typoy/ipto-starts-upgrade-kyllini-zakynthos-electrical-interconnection (accessed on 26 December 2023).
  38. Rigogiannis, N.; Bogatsis, I.; Pechlivanis, C.; Kyritsis, A.; Papanikolaou, N. Moving towards Greener Road Transportation: A Review. Clean Technol. 2023, 5, 766–790. [Google Scholar] [CrossRef]
  39. Available online: https://www.mercedes-benz.ca/en/vehicles/model/eqe/suv/eqe350x4 (accessed on 16 October 2023).
  40. Available online: https://re.jrc.ec.europa.eu/pvg_tools/en/ (accessed on 20 November 2023).
  41. Stein, J.; Reise, C.; Castro, J.B.; Friesen, G.; Maugeri, G.; Urrejola, E.; Ranta, S. Bifacial Photovoltaic Modules and Systems: Experience and Results from International Research and Pilot Applications; Report IEA-PVPS T13-14:2021, Task 13 Performance, Operation and Reliability of Photovoltaic Systems; Sandia National Laboratory (SNL-NM): Albuquerque, NM, USA; Fraunhofer ISE: Freiburg, Germany; University of Applied Sciences and Arts of Southern Switzerland (SUPSI): Manno, Switzerland; TUV Rheinland: Cologne, Germany; Ricerca sul Sistema Energetico: Milan, Italy; ATAMOSTEC: Providencia, Chile; Turku University of Applied Sciences: Turku, Finland, 2021; ISBN 978-3-907281-03-1. [Google Scholar]
  42. Guerrero-Lemus, R.; Vega, R.; Kim, T.; Kimm, A.; Shephard, L.E. Bifacial solar photovoltaics—A technology review. Renew. Sustain. Energy Rev. 2016, 60, 1533–1549. [Google Scholar] [CrossRef]
  43. Electric Vehicle Recharging Prices (European Alternative Fuels Observatory). Available online: https://alternative-fuels-observatory.ec.europa.eu/consumer-portal/electric-vehicle-recharging-prices (accessed on 13 November 2023).
  44. Regulation (EC) No 715/2007. The European Parliament and the Council of the European Union. 20 June 2007. pp. 5–9. Available online: https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2007:171:0001:0016:EN:PDF (accessed on 2 October 2023).
Figure 1. EU CO2 emissions of the primary sub-sectors within the transportation industry from 2000 to 2021.
Figure 1. EU CO2 emissions of the primary sub-sectors within the transportation industry from 2000 to 2021.
Energies 17 00632 g001
Figure 2. BEV and PHEV share of the total EV fleet in the Greek market from 2019 to 2022 [31].
Figure 2. BEV and PHEV share of the total EV fleet in the Greek market from 2019 to 2022 [31].
Energies 17 00632 g002
Figure 3. CO2 emissions during the vehicle’s life-cycle.
Figure 3. CO2 emissions during the vehicle’s life-cycle.
Energies 17 00632 g003
Figure 4. Greece interconnections grid map according to IPTO [36].
Figure 4. Greece interconnections grid map according to IPTO [36].
Energies 17 00632 g004
Figure 5. The monthly energy production of a 300 kWp PV system, with PV modules positioned at slope angle (6°) and Azimuth angle (−2°), on Zakynthos’ Central Interurban Bus Station.
Figure 5. The monthly energy production of a 300 kWp PV system, with PV modules positioned at slope angle (6°) and Azimuth angle (−2°), on Zakynthos’ Central Interurban Bus Station.
Energies 17 00632 g005
Figure 6. The average hourly output power of the 300 kWp photovoltaic system for the typical day of each month, covering the period from June to September.
Figure 6. The average hourly output power of the 300 kWp photovoltaic system for the typical day of each month, covering the period from June to September.
Energies 17 00632 g006
Figure 7. Allocation of hourly energy production for the charging of 50 EPUVs within the typical day of each month: (a) June, (b) July, (c) August and (d) September.
Figure 7. Allocation of hourly energy production for the charging of 50 EPUVs within the typical day of each month: (a) June, (b) July, (c) August and (d) September.
Energies 17 00632 g007
Figure 8. LCCA of the PV fast-charging station considering EUR 0.30/kWh charging price cost and (i) 0%, (ii) 25% and (iii) 50% investment subsidy.
Figure 8. LCCA of the PV fast-charging station considering EUR 0.30/kWh charging price cost and (i) 0%, (ii) 25% and (iii) 50% investment subsidy.
Energies 17 00632 g008
Figure 9. LCCA of the PV fast-charging station considering EUR 0.40/kWh charging price cost and (i) 0%, (ii) 25% and (iii) 50% investment subsidy.
Figure 9. LCCA of the PV fast-charging station considering EUR 0.40/kWh charging price cost and (i) 0%, (ii) 25% and (iii) 50% investment subsidy.
Energies 17 00632 g009
Figure 10. LCCA of the PV fast-charging station considering EUR 0.45/kWh charging price cost and (i) 0%, (ii) 25% and (iii) 50% investment subsidy.
Figure 10. LCCA of the PV fast-charging station considering EUR 0.45/kWh charging price cost and (i) 0%, (ii) 25% and (iii) 50% investment subsidy.
Energies 17 00632 g010
Figure 11. LCCA of an electric and a diesel Euro 6 PUV considering (i) EUR 0.30/kWh, (ii) EUR 0.40/kWh and (iii) EUR 0.45/kWh charging price cost and 5% annual decrease of diesel supply price.
Figure 11. LCCA of an electric and a diesel Euro 6 PUV considering (i) EUR 0.30/kWh, (ii) EUR 0.40/kWh and (iii) EUR 0.45/kWh charging price cost and 5% annual decrease of diesel supply price.
Energies 17 00632 g011
Figure 12. LCCA of an electric and a diesel Euro 6 PUV, considering an (i) EUR 0.30/kWh, (ii) EUR 0.40/kWh and (iii) EUR 0.45/kWh charging price cost and 5% annual increase in diesel supply price.
Figure 12. LCCA of an electric and a diesel Euro 6 PUV, considering an (i) EUR 0.30/kWh, (ii) EUR 0.40/kWh and (iii) EUR 0.45/kWh charging price cost and 5% annual increase in diesel supply price.
Energies 17 00632 g012
Figure 13. LCCA of an electric and a diesel Euro 6 PUV considering an (i) EUR 0.30/kWh, (ii) EUR 0.40/kWh and (iii) EUR 0.45/kWh charging price cost and constant price in diesel supply price: EUR 0.16/lt.
Figure 13. LCCA of an electric and a diesel Euro 6 PUV considering an (i) EUR 0.30/kWh, (ii) EUR 0.40/kWh and (iii) EUR 0.45/kWh charging price cost and constant price in diesel supply price: EUR 0.16/lt.
Energies 17 00632 g013
Table 1. Annual registrations of BEVs and PHEVs as a function of the total number of passenger vehicles’ registrations from 2019 to 2022.
Table 1. Annual registrations of BEVs and PHEVs as a function of the total number of passenger vehicles’ registrations from 2019 to 2022.
YearNew Registrations of Passenger Vehicles Annual Variation of Passenger Vehicles’ SalesPure BEVs and PHEVs
Cumulative Number of BEVs and PHEVsNumber of New BEVs and PHEVsShare of New BEVs and PHEVs Out of New Passenger Vehicles’ Registrations
2019114,018-9964790.42%
202081,780−28.3%313521392.64%
2021101,11123.6%10,10370076.93%
2022105,4124.3%18,57583177.89%
Table 2. Technical specifications of the Mercedes EQE 350 4MATIC [39].
Table 2. Technical specifications of the Mercedes EQE 350 4MATIC [39].
Mercedes EQE 350 4MATIC
Battery nominal capacity [kWh]100Cargo space [lt]450
Electric autonomy [km]507Weight [kg]2310
Energy consumption [kWh/100 km]17.9Fast charging in power (up to)170 kW
Table 3. Charging schedule for 50 EPUVs during a typical day in each month.
Table 3. Charging schedule for 50 EPUVs during a typical day in each month.
TimeNumber of ChargesTimeNumber of ChargesTimeNumber of Charges
03:00010:00417:003
04:00011:00418:002
05:00212:00419:002
06:00213:00420:001
07:00214:00421:001
08:00315:00422:001
09:00316:00323:001
Table 4. Economic and time parameters for the LCCA procedure.
Table 4. Economic and time parameters for the LCCA procedure.
LCCA Parameters
Economic parameters
Discount rate0.25%
Inflation rate0.3%
Escalation of energy costs0.5%
Borrowing rate0%
Rate of investment subsidy0%, 25%, 50%
Time parameters
Starting year2024
Period analysis25 years
Table 5. Costs of the PV fast-charging station.
Table 5. Costs of the PV fast-charging station.
PV Fast-Charging Station Costs
Initial cost of the PV fast-charging station (EUR)750,000
PV system cost (EUR/kW)1000
Fast-charger costs (EUR/unit)45,000
Annual maintenance and insurance cost (EUR)4500
Annual earnings from the EPUV charging procedure It depends on the charging procedure price cost
Table 6. Annual earnings and payback period of the proposed PV-EPUV fast-charging station for each electricity price cost and rate of investment subsidy scenario.
Table 6. Annual earnings and payback period of the proposed PV-EPUV fast-charging station for each electricity price cost and rate of investment subsidy scenario.
Electricity Price Cost for EV ChargingRate of Investment SubsidyAnnual Earnings (EUR)Payback Period (years)
EUR 0.30/kWh0%115,0006
25%5
50%3
EUR 0.40/kWh0%158,0004
25%3
50%2
EUR 0.45/kWh0%179,5004
25%3
50%2
Table 7. Techno-economic specifications of Euro 6 diesel and electric PUVs.
Table 7. Techno-economic specifications of Euro 6 diesel and electric PUVs.
Techno-Economic Specifications of PUVs
Euro 6 diesel PUV
Initial value of the diesel Euro 6 PUV (EUR)40,000
Maintenance cost of the diesel Euro 6 PUV (EUR/year)800
Total Route (June–September) (km)40,000
Average Fuel consumption (lt/100 km)6.0
Total fuel consumption (tn)2.4
Operational costs of the diesel Euro 6 PUV (EUR)It depends on the diesel supply price (EUR/lt)
EPUV
Initial value of the EPUV (EUR)87,000
Maintenance cost of the EPUV (EUR/year)400
Rate of subsidy for EPUV purchase (EUR)50%
Total Route (June–September) (km)40,000
Electrical consumption (kWh/100 km)21.5
Total electrical consumption (ΜWh)8.6
Operational costs of the EPUV (EUR)It depends on the electricity price cost
Table 8. Operational costs of the electric and diesel Euro 6 PUVs (7-year period analysis).
Table 8. Operational costs of the electric and diesel Euro 6 PUVs (7-year period analysis).
YearPUV’s Operational Cost
Diesel Euro 6 PUVPure Battery Electric PUV
Diesel Supply Cost (EUR)Electricity Cost (EUR)
5% annual decreaseEUR 0.30/kWh
1st year38302299
2nd year72804600
3rd year10,3766901
4th year13,1469204
5th year15,61511,508
6th year17,80613,813
7th year19,73916,119
5% annual increaseEUR 0.40/kWh
1st year38303159
2nd year80466321
3rd year12,6759483
4th year17,75012,648
5th year23,30315,813
6th year29,36918,980
7th year35,98622,150
Constant price: EUR 0.16/ltEUR 0.45/kWh
1st year38303590
2nd year76637181
3rd year11,49710,774
4th year15,33314,369
5th year19,17117,966
6th year23,01121,565
7th year26,85325,165
Table 9. Energy savings of electric and diesel Euro 6 drivers (7 year period analysis).
Table 9. Energy savings of electric and diesel Euro 6 drivers (7 year period analysis).
Diesel Supply CostElectricity Cost
EUR 0.30/kWhEUR 0.40/kWhEUR 0.45/kWh
5% annual decrease3620−2411−5426
5% annual increase19,86713,83610,821
Constant price: EUR 0.16/lt10,73447031688
Table 10. Emissions from the operation of diesel Euro 6 PUVs.
Table 10. Emissions from the operation of diesel Euro 6 PUVs.
Emissions Released from Euro 6 Diesel Engine PUVs1 PUV
CO500 mgr/km
NOx80 mgr/km
HC17 mgr/km
PM2.54.5 mgr/km
Table 11. Environmental benefits from the mass replacement of 50 conventional PUVs with electric PUVs.
Table 11. Environmental benefits from the mass replacement of 50 conventional PUVs with electric PUVs.
Emissions Released from Euro 6 Diesel Engine PUVs1 PUV50 PUVs
CO20 kg1000 kg
NOx3.2 kg160 kg
HC0.68 kg34 kg
PM2.50.18 kg9 kg
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Kotarela, F.; Rigogiannis, N.; Glavinou, E.; Mpailis, F.; Kyritsis, A.; Papanikolaou, N. Techno-Economic and Environmental Assessment of a Photovoltaic-Based Fast-Charging Station for Public Utility Vehicles. Energies 2024, 17, 632. https://doi.org/10.3390/en17030632

AMA Style

Kotarela F, Rigogiannis N, Glavinou E, Mpailis F, Kyritsis A, Papanikolaou N. Techno-Economic and Environmental Assessment of a Photovoltaic-Based Fast-Charging Station for Public Utility Vehicles. Energies. 2024; 17(3):632. https://doi.org/10.3390/en17030632

Chicago/Turabian Style

Kotarela, Faidra, Nick Rigogiannis, Eleni Glavinou, Fotis Mpailis, Anastasios Kyritsis, and Nick Papanikolaou. 2024. "Techno-Economic and Environmental Assessment of a Photovoltaic-Based Fast-Charging Station for Public Utility Vehicles" Energies 17, no. 3: 632. https://doi.org/10.3390/en17030632

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop