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Article

An Optimal Sizing of Stand-Alone Hybrid PV-Fuel Cell-Battery to Desalinate Seawater at Saudi NEOM City

1
College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Al-Kharj 11911, Saudi Arabia
2
Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61517, Egypt
3
Electrical Engineering Department, College of Engineering, Shaqra University, Riyadh 11911, Saudi Arabia
4
Faculty of Engineering, Assiut University, Assiut 71518, Egypt
*
Authors to whom correspondence should be addressed.
Processes 2020, 8(4), 382; https://doi.org/10.3390/pr8040382
Submission received: 24 February 2020 / Revised: 16 March 2020 / Accepted: 18 March 2020 / Published: 25 March 2020
(This article belongs to the Special Issue Design, Control and Optimization of Desalination Processes)

Abstract

:
NEOM City in Saudi Arabia is planned to be the first environmentally friendly city in the world that is powered by renewable energy sources minimizing CO2 emissions to reduce the effect of global warming according to Saudi Arabia’s Vision 2030. In recent years, Saudi Arabia has had a problem with water scarcity. The main factors affecting water security are unequal water distribution, wrong use of water resources and using bad or less efficient irrigation techniques. This paper is aimed to provide a detailed feasibility and techno-economic evaluation of using several scenarios of a stand-alone hybrid renewable energy system to satisfy the electrical energy needs for an environmentally friendly seawater desalination plant which feeds 150 m−3 day−1 of freshwater to 1000 people in NEOM City, Saudi Arabia. The first scenario is based on hybrid solar photovoltaic PV, fuel cells (FC) with a hydrogen storage system and batteries system (BS), while the second and third scenarios are based on hybrid PV/BS and PV/FC with a hydrogen storage system, respectively. HOMER® software was used to obtain the optimal configuration based on techno-economic analysis of each component of the hybrid renewable energy systems and an economic and environmental point of view based on the values of net present cost (NPC) and cost of energy (COE). Based on the obtained results, the best configuration is PV/FC/BS. The optimal size and related costs for the optimal size are 235 kW PV array, 30 kW FC, 144 batteries, 30 kW converter, 130 kW electrolyzer, and 25 kg hydrogen tank is considered the best option for powering a 150 m3 reverse osmosis (RO) desalination plant. The values of net present cost (NPC) and the cost of energy (COE) are $438,657 and $0.117/kWh, respectively. From the authors’ point view, the proposed system is one among the foremost environmentally friendly systems to provide electric energy to the seawater desalination plant, especially when connecting to the utility grid, because it is ready to reduce a large amount of greenhouse gas emissions due to using oil/nature gas in utility generation stations to reduce the effect of global warming.

1. Introduction

Saudi Arabia is one of the biggest producers and net exporter of oil in the world, with more than 12% of total oil production in the world in 2018 [1] as shown in Figure 1. According to Saudi Arabia’s Vision 2030 [2], the Saudi Government is working to reduce use of fossil fuels and increase use of renewable energy.
In recent years, Saudi Arabia has had a problem with water scarcity [3]. Saudi Arabia, for supporting its rapidly growing population and development, is heavily dependent on underground water and rain which are not sufficient. Therefore, there is a shift toward using seawater desalination plants depending on renewable energy systems.
NEOM City is planned to be a cross-border city that shares with Egypt and Jordan borders. The site under study is close to the Red Sea in Tabuk Province of north-western Saudi Arabia with a total area of 26,500 km2 and 460 km along the coast of the Red Sea (Figure 2). The Saudi government is planning to make NEOM City the first environmentally friendly city powered by renewable energy sources to minimize CO2 emissions to reduce the effect of global warming [4,5].
Seawater desalination is the process that converts seawater to freshwater by removing salt particles from seawater. Different desalination processes are used in industrial and commercial applications. With improvements in technology techniques, desalination processes are becoming cost-competitive and more efficient rather than other methods of producing freshwater to overcome our growing needs [6]. However, the total cost of seawater desalination is still high with using conventional methods of energy sources. Therefore, the new trend of Saudi’s governments is using renewable energy systems, which will decrease the cost of energy compared with grid extension and diesel generation systems. In addition to the cost of treatment, the environmental effects of using fossil fuel is high in the long term; CO2 emissions have an effect on global warming.
Using renewable energy will solve one of the most pressing environmental issues and reduce the effect of global warming [6,7]. Using renewable energy systems for supplying the desalination systems with required energy has increased worldwide; more than 130 desalination plants opened in the last few years [8,9]. The salinity of the Red Sea’s water is high with values of about 40,000 mg/L. Therefore, the suitable kind of desalination system for the case study is reverse osmosis (RO) [10,11].
The main sources of renewable energy that are used in desalination systems are solar PV, wind, fuel cell, geothermal, wave and tidal energies, while hydropower and biomass energies are used in minor cases. Using solar PV energy is the most preferred renewable energy technique in desalination technology based on its ability to produce heat and electric energies which are required by all desalination processes. Due to minimum operating and maintenance costs, solar PV cells can be used to secure electric energy in remote areas [12]. Solar PV energy systems are usually hybrid with other systems; batteries, diesel generators, and/or fuel cells with hydrogen tanks [13]. Due to the nature of solar energy which depends on weather conditions, cloudy or not, day and night, applications are limited by limited time periods that depend on solar energy availability [14,15,16].
Batteries systems (BS) are conventional storage devices used to store excessive energy in a renewable energy system. It cannot meet the storage requirements due to the global progress in renewable energy, mostly where utility connection is not available. BS plays an important role in the high energy-density and lifetime of hybrid renewable energy systems. Lead-acid batteries have disadvantages i.e., short lifetime, high cost of replacement, its performance affected by low/high air temperature and environmental concerns with used batteries [13]. Additionally, diesel generator systems have some limitations i.e., high operating and maintenance costs, high noise, pollution, cost of fuel, and transportation [14].
Electrochemical devices are used to convert directly the chemical energy into electrical energy, known as fuel cells (FC). The advantages of using FC can be listed as working with high efficiency, silent devices, low/no environmental impact, and small size when compared with other energy conversion devices [14,15,16,17,18,19]. Water FC/electrolyzer systems are used as high storage devices which are the best storage systems due to its low cost, high efficiency, easy integration with other hybrid systems, and environmental impact [20].
Figure 3 shows global statistics of renewable energy systems of hydropower, wind energy, solar PV systems, and bioenergy for the period from 2001 to 2019 [21]. The installed capacity of solar PV energy increased around the world more than using wind energy and bioenergy. On the other hand, dependence on using hydropower energy has decreased due to the high cost of installing dams in the last five years.
Table 1 demonstrates a comparison of the cost results of different hybrid renewable energy systems around the world focused on Middle East countries with the proposed hybrid renewable energy system with the consideration of the size of hybrid system components, net present cost (NPC), and cost of energy (COE) which are different when compared with the proposed hybrid system.
The authors considered three scenarios for supplying the RO desalination plant in NEOM city using hybrid renewable energy systems; PV/FC/BS, PV/BS, and PV/FC. The technical and economic feasibility study was applied for the proposed hybrid system which done using HOMER® software to identify the optimal sizing of a hybrid system based on an environmental and economic point view based on NPC and COE. Additionally, a comparison between connection with utility and the optimal stand-alone hybrid system was undertaken. The authors can conclude from the study that a hybrid stand-alone PV/FC/BS system is the most optimal and environmentally friendly system for supplying energy to the desalination plant in NEOM city. Additionally, it is cheaper than connection to a utility extension.

2. Location of Case Study

NEOM City, the site under study is located in the north-west of Saudi Arabia very close to Egypt and Jordan borders (Figure 2), which is geographically located at the latitude of 29° north and longitude of 35° east. Figure 4 shows the solar atlas of Saudi Arabia [38] where one of the sun-belt countries is endowed with high intensity direct solar radiation. Sunshine duration throughout the year ranges from 9 to 11 h/day with few cloudy days.
Monthly mean daily solar radiation data of the site under study were obtained from NASA surface meteorology and solar energy database [39]. HOMER® software used this available data to calculate both the clearance index and hourly solar radiation intensity [40,41] (Figure 5). A maximum, minimum and average solar radiation intensity is 8.085 kWh m−2 day−1 in June, 3.542 kWh m−2 day−1 in December, and 5.85 kWh m−2 day−1 over the year, respectively, as shown in Figure 6. Additionally, it is clear from the available data that the site under study experiences good sunshine all year.

3. Seawater Desalination Plant

The load is an electrical industrial load which is a seawater desalination plant that is supplying fresh water to 1000 people in a camp in NEOM City. Each person consumes about 150 L of freshwater in summer, per day, and 100 L in winter [42,43]. The capacity of the desalination plant is 150 and 100 m3 day−1 in summer and winter, respectively. The RO unit needs the power of 522 kWh day−1 with a maximum peak of 26 KW. The seasonal profile of load demand required power by the desalination plant over the year is shown in Figure 7. The RO plant will operate for 16 and 24 h, respectively, for winter and summer seasons [44,45].
Figure 8 shows a schematic diagram of the main components of the proposed seawater desalination plant [7,44]. The choice of RO unit is based on lower energy requirements and the ability to treat high saline water, 40,000 mg L−1, from the Red Sea to achieve freshwater with high quality. A pre-filtration process with backwashing filters and cartridge filters are the standard treatment process of water [46,47].

4. Description of Different Components of the System

One of the important advantages of using renewable power generators is the ability to sum two or more in one hybrid renewable system to increase the overall efficiency of the system. Figure 9 shows hybrid renewable energy systems with different scenarios for supply AC load demand, an environmentally friendly seawater desalination plant. The first scenario is based on using the PV/FC/BS system with a hydrogen storage system. The second scenario is using a PV/BS system while the third scenario is using a PV/FC system with a hydrogen storage system (Figure 9). A brief description of each component of the proposed hybrid renewable systems is summarized in the following section.

4.1. Solar PV Cells

Solar PV cells are a high power source with high economic potential. The output power from solar PV cells at any time t depends on solar radiation S and surface temperature Tc as expressed in the following equation [48]:
P P V ( t ) = P P V _ r e f S ( t ) S r e f   [ 1 + β r e f   ( T c ( t ) T r e f ) ]
T ( t ) = T a   ( t ) + T n 20 800 S
where 𝑇𝑎: site under study temperature (°C) at t time (h); Tn: normal operating temperature of the cell (°C).
Energy from solar PV cells decreased with increasing temperature. In this study, the effect of temperature on solar PV cells was taken into account. The summary of solar PV cells data is listed in Table 2: model name: generic flat-plate PV; peak power: 1 kW; slope: 28°; ground reflection: 27%; operating temperature: 46°; efficiency: 14.7%; capital cost: $1000; replacement cost: $1000; O&M cost: $5/year; lifetime: 25 years.

4.2. Fuel Cell

Fuel cells (FC) are electrochemical energy devices that convert the chemical energy of a fuel and hydrogen and/or oxygen into electrical energy with high efficiency approaching of 60%. FC works similar to a battery. Fuel should be continuously feeding the FC during its operation and the products of the chemical reaction should be removed continuously. Advantages of FC can be summarized as working with high efficiency, silent, and its ability to start to produce power in a short time from standby [14]. FC consists of an anode, cathode, and electrolyte. Hydrogen is fed to the anode while fresh air is fed to the cathode continuously. Output power is DC and water. The summary of FCs data is listed in Table 2 [14,15,16,17,18]; model name: proton exchange membrane; capital cost: $500; replacement cost: $450; O&M cost: $0.02/h for a one kW; lifetime: 40,000 h.

4.3. Battery System

The battery system (BS) is used to store energy in hybrid stand-alone systems. A lead-acid battery is considered in this case study. The capacity of a battery can be calculated from the following formula [49]:
CWh = (EL × Ad)/(ηC × ηBS × Dd)
where EL: load demand energy, kWh day−1; Ad: BS autonomy, day−1; Dd: discharge depth; ηBS and ηC are the efficiency of BS and converter, respectively. The BS data is listed in Table 2, [49,50,51]: type: trojan L16P, 6 V, 360 Ah; rated power: 2.16 kWh; capital cost of one unit: $175; replacement cost: $175; O&M cost: $5/year; and lifetime: 1075 kWh.

4.4. Converter

Solar PV cells and FC produce DC power while the load, seawater desalination plant with RO system, needs AC power. Therefore, a DC/AC inverter is required. The converter’s data is listed in Table 2: capital cost: $500/kW; replacement cost: $450/kW; O&M cost: $10/year; inverter efficiency: 90%; lifetime: 10 years [50,51,52].

4.5. Electrolyzer

Water electrolysis technology is one of the most efficient techniques used with renewable energy systems based on hydrogen production which is non-fossil fuel. It used electricity to split water into hydrogen and oxygen [18,53]. Additionally, it is suitable for conjunction with hybrid PV cells and BS. Type of water electrolysis: bipolar, alkaline type; 10-cells in series; rated load: 250 amperes; rated voltage: 25 V; maximum power: 5 kW; purity of hydrogen gas: 99.99%; efficiency of the system: 70%; capacities of electrolyzes used in the simulation: 0–200 kW; capital cost: $300/kW; replacement cost: $280/kW; O&M cost: $5/kW/year; and lifetime: 25 years as listed in Table 2 [14,51].

4.6. Hydrogen Storage Tank

To overcome the shortage of supplying energy to load demand in the night, seasonal discrepancies due to the nature of solar energy, storage energy systems should be used. The electrolyzer produces hydrogen which will be used in FC. Hydrogen storage is used to store hydrogen until it is used by FC. Hydrogen storage is better than lead-acid batteries for a long lifetime [50,51]. HOMER® software assumes no electricity need for supplying hydrogen to the tank and there is no leakage (Figure 9). Table 2 summarizes the data of the hydrogen storage tank [50,51]; capital cost: $200/kg; replacement cost: $150/kg; O&M cost: $10/year; inverter efficiency: 90%; lifetime: 25 years.

5. Evaluation Criteria

Different scenarios were applied to obtain optimal configurations based on net present cost NPC and the cost of energy COE. NPC calculated based on capital costs, replacement cost, and O&M costs for the proposed lifetime and salvage value are expressed by following equation [12,14]:
N P C = C t o t a l C R F   ( i ,   t )
where t: the lifetime of the hybrid system; Ctotal: total annual cost ($/year); i: annual interest rate (%); and CRF: capital recovery factor. The annual interest rate can be estimated as follows:
i = ı ¯ f 1 + f
where ı ¯ : nominal interest rate; and f: annual inflation rate. Additionally, CRF can be expressed by the following equation [18,19]:
C R F ( i , n ) = i ( 1 + n ) n ( 1 + n ) n 1
where n: the lifetime of the proposed hybrid system (years) which is assumed to be 20 years. COE is the average cost of electrical energy unit (kWh) which can be expressed as the follows [14,22,23,24,25,26]:
C O E = C a n n _ t o t a l E t o t a l
where Etotal: annual production energy rate (kWh/year); Cann_total: total costs of the proposed hybrid system during the year.

6. Results and Discussion

Three different scenarios system; PV/BS, PV/FC, and PV/FC/BS were considered in the case study to determine the best option to meet the load demand. The optimal size and related costs for each considered system are shown in Table 3.
Considering Table 3 that shows the optimal size and related costs for each considered system, it can be concluded that 235 KW PV array, 30 kW FC, 144 batteries, 30 kW converter, 130 kW electrolyzer, and 25 kg hydrogen tank is considered the best option for powering a 150 m3 RO desalination unit [52,54]. The values of total NPC are $667,493, $510,128, $438,657, respectively, for PV/BS, PV/FC, and PV/FC/BS. The integration between BS and FC decreased the NPC by 34.28% and 13.21% compared to PV/BS and PV/FC, respectively. On the other side, the values of COE are $0.164/kWh, $0.124/kWh, $0.117/kWh, respectively, for PV/BS, PV/FC, and PV/FC/BS. Under this condition using PV/FC/BS reduces the cost of energy by 28.66% and 5.6% compared to PV/BS and PV/FC, respectively. Table 4 shows the detailed related costs of different components for each considered system. Whereas, the net present cost for different system components is illustrated in Figure 10.
The discounted cash flows related to every considered system is illustrated in Figure 11. As shown, the lowest initial cost is achieved by PV/BS. This due to the low cost of batteries. The initial cost values are $282,200, $348,500, $334,200, respectively, for PV/BS, PV/FC, and PV/FC/BS. Due to the high replacement cost of batteries ($295,608) as shown in Table 4, the total NPC of PV/BS increased sharply compared to PV/FC and PV/FC/BS, as illustrated in Figure 11.
Under the condition of using the optimal configuration of the PV/FC/BS system, the total produced electrical energy is 542,565 kWh/yr. A total of 85% (461,155 kWh/yr) of the total energy is supplied by the PV array and the reminder (81,410 kWh/yr) comes from the fuel cell system. With this configuration, the total yearly consumption energy is 414,287 kWh. The RO unit consumed about 45% (187,134 kWh/yr) of the total consumed energy whereas as the other 55% (227,153 kWh/yr) is taken to supply the electrolyzer. The excess energy per year is approximately 105,439 (19.4%) kWh/yr. Such excess can be used for lighting and other not considered loads whereas the unmet load and capacity shortage are 3137 and 3713 kWh/yr, respectively. As illustrated in Table 5, using PV/FC/BS reduced the excess energy per year by 25.38% and 3.48%, respectively, compared with PV/BS and PV/FC. Table 6 illustrated the detailed performance of different components of the considered systems.
The rated capacity values of PV array are 155, 250, and 235 KW, respectively, for PV/BS, PV/FC, and PV/FC/BS. Accordingly, the mean PV produced electrical energy values are 35, 56, and 53 KW for PV/BS, PV/FC, and PV/FC/BS. The detailed output production for the considered system is illustrated in Figure 12. Whereas, for the fuel cell, the mean produced energies are 24 and 27.4 KW, respectively, for PV/FC and PV/FC/BS. Approximately, June, July, and August have a maximum rate of energy production by FC. The monthly average hydrogen production for each month is shown in Figure 13.
The total hydrogen production per year is 5530 and 4895 kg, respectively, for PV/FC and PV/FC/BS. The hydrogen tank autonomy values are 114 h for PV/FC and 31.6 h for PV/FC/BS. The monthly statistics of the hydrogen tank is illustrated in Figure 14.
The nominal capacity values of battery are 1382 and 311 kWh, respectively, for PV/BS and PV/FC/BS. The battery autonomy values are 36.7 h for PV/BS and 8.27 h for PV/FC/BS. The expected lifetime for batteries is 6.51 and 10 years, respectively, for PV/BS and PV/FC/BS. The monthly statistics of battery state-of-charge (SOC) is illustrated in Figure 15.

7. Comparison with Utility Extension

A comparison between utility extension and stand-alone renewable system was undertaken to explore the optimal configuration to supply the desalination plant in NEOM city. The capital cost of the utility extinction and annual O&M costs were $10,000/km and $200/year/km, respectively [55]. The price of electricity from utility is $0.06/kWh as given by the Saudi Arabia Ministry of Electricity [55]. Figure 16 shows a comparison between the total NPC of the proposed hybrid renewable systems of PV/BS, PV/FC, and PV/FC/BS, and the utility extension cost (based on the distance from the grid). Figure 16 shows that the PV/FC/BS system is better than the utility extension up to a distance of 16.1 km, while PV//FC/BS is better than the grid extension up to a distance of 26.6 km.

8. Conclusions

Optimal sizing of a stand-alone hybrid PV-fuel cell-battery to desalinate seawater at Saudi NEOM city was presented in detail in this paper. The capacity of a water desalination unit is 150 m3 per day. It requires 522 kWh per day with 26 kW of maximum power. The obtained results were compared with PV/battery and PV/FC systems. The cost of energy and the total present cost were used as metrics for comparison. The optimal size of PV/FC/battery composed of 235 kW PV array, 30 kW FC, 144 batteries, 30 kW converter, 130 kW electrolyzer, and 25 kg hydrogen tank. The values of total NPC are $667,493, $510,128, and $438,657, respectively, for PV/BS, PV/FC, and PV/FC/BS. The integration between BS and FC decreased the NPC by 34.28% and 13.21% compared to PV/BS and PV/FC, respectively. On the other hand, the values of COE are $0.164/kWh, $0.124/kWh, $0.117/kWh, respectively, for PV/BS, PV/FC, and PV/FC/BS. Under this condition using PV/FC/BS reduces the cost of energy by 28.66% and 5.6% compared to PV/BS and PV/FC, respectively. In addition, the considered systems were compared with the grid extension to explore the best power system to meet the load demand. The results of the comparison confirmed that the PV/FC/BS system is better than the UG extension up to a distance of 16.1 km, while PV/BS is better than the grid extension up to a distance of 26.6 km.

Author Contributions

Conceptualization, H.A.Z. and H.R.; methodology, H.A.Z.; software, H.R.; validation, M.A. and H.A.Z.; formal analysis, H.R.; investigation, H.A.Z.; resources, H.R.; data curation, H.R.; writing—original draft preparation, M.A. and H.A.Z.; writing—review and editing, H.R.; visualization, H.A.Z.; supervision, H.R.; project administration, H.A.Z.; funding acquisition, M.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

The author (M.A.) would like to thank Shaqra University, Saudi Arabia to support him in this work.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. The largest oil producers’ countries and share of total world oil production in 2018.
Figure 1. The largest oil producers’ countries and share of total world oil production in 2018.
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Figure 2. Location of the case study of NEOM City, Saudi Arabia (www.google.com/maps).
Figure 2. Location of the case study of NEOM City, Saudi Arabia (www.google.com/maps).
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Figure 3. Global statistics of renewable energy systems for the period from 2001 to 2019.
Figure 3. Global statistics of renewable energy systems for the period from 2001 to 2019.
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Figure 4. Solar atlas of Saudi Arabia, https://globalsolaratlas.info/.
Figure 4. Solar atlas of Saudi Arabia, https://globalsolaratlas.info/.
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Figure 5. Variation of solar radiation intensity during the year.
Figure 5. Variation of solar radiation intensity during the year.
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Figure 6. Average daily solar radiation and clearance index during each month.
Figure 6. Average daily solar radiation and clearance index during each month.
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Figure 7. The seasonal profile of load demand.
Figure 7. The seasonal profile of load demand.
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Figure 8. Schematic diagram of the main components of the proposed seawater desalination plant.
Figure 8. Schematic diagram of the main components of the proposed seawater desalination plant.
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Figure 9. Schematic diagram of proposed hybrid renewable energy systems with different scenarios for supply AC load demand, an environmentally friendly seawater desalination plant; (a) first scenario: PV/FC/BS with a hydrogen storage system. (b) Second scenario: PV/BS system. (c) Third scenario: PV/FC with a hydrogen storage system.
Figure 9. Schematic diagram of proposed hybrid renewable energy systems with different scenarios for supply AC load demand, an environmentally friendly seawater desalination plant; (a) first scenario: PV/FC/BS with a hydrogen storage system. (b) Second scenario: PV/BS system. (c) Third scenario: PV/FC with a hydrogen storage system.
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Figure 10. The net present cost for different system components.
Figure 10. The net present cost for different system components.
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Figure 11. The discounted cash flows related to every considered system.
Figure 11. The discounted cash flows related to every considered system.
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Figure 12. Average electric energy production.
Figure 12. Average electric energy production.
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Figure 13. Monthly average hydrogen production.
Figure 13. Monthly average hydrogen production.
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Figure 14. Monthly statistics of the hydrogen tank.
Figure 14. Monthly statistics of the hydrogen tank.
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Figure 15. Monthly statistic of battery SOC.
Figure 15. Monthly statistic of battery SOC.
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Figure 16. Breakeven grid extension distance for different systems; (a) PV/BS system. (b) PV/FC (c) PV/FC/BS.
Figure 16. Breakeven grid extension distance for different systems; (a) PV/BS system. (b) PV/FC (c) PV/FC/BS.
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Table 1. Summary of literature review.
Table 1. Summary of literature review.
AuthorsYearLocationHybrid ConfigurationSimulation ToolsNPC $COE $/kWh
Shafiqur et al. [22]2020PakistanPV/WT/BatteryHOMER®
MATLAB
47,3980.309
Habib et al. [23]2020PakistanPV/WT/BatteryHOMER® MATLAB28,6200.311
Shafik et al. [24]2020EgyptGrid/PV/WT/ Diesel G.HOMER®
NEPALN
9,670,0000.117
Shafik et al. [24]2020EgyptGrid/PV/WTHOMER®
NEPALN
9,970,0000.177
Shafik et al. [24]2020EgyptGrid/PV/Diesel G.HOMER®
NEPALN
2,770,0000.124
Shafik et al. [24]2020EgyptGrid/PVHOMER®
NEPALN
1,970,0000.128
Shafik et al. [24]2020EgyptWT/Grid/Diesel G.HOMER®
NEPALN
10,000,0000.130
Ziedan et al. [25]2020EgyptPV/WT/BatteryHOMER®
MATLAB
3,461,264,6400.202
Ziedan et al. [25]2020EgyptGrid/PV/WTHOMER®
MATLAB
1,830,547,7600.08
Al-Ghussain et al. [26]2020TurkeyPV/WT/Pumped Hydro Storage/ Hydrogen Fuel CellHOMER®250,0000.175
Rezk et al. [13]2019EgyptPV/batteryHOMER®109,8560.059
Rezk et al. [14]2019EgyptPV/FCHOMER®115,6490.062
Habib et al. [27]2019PakistanWT/BatteryHOMER®
MATLAB
14,8460.309
Fodhil et al. [28]2019AlgeriaPV/Diesel/BatteryPSO
HOMER®
8640.10.37
Jahangiri et al. [29]2019IranGrid/PV/VAWTsPSO
HOMER®
84,2000.496
Aziz et al. [30]2019IraqPV/Hydro/Diesel/BatteryHOMER®113,2010.054
Aziz et al. [31]2019IraqPV/Diesel G./ BatteryHOMER®138,7040.264
César et al. [32]2019SpainPV/WT/Biomass/H2/Fuel CellMPC, GA
MATLAB Experiment
21,1610.123
Awan [33]2019Saudi ArabiaPV/WT/Diesel/BatteryHOMER®8,130,0000.164
Akar et al. [34]2019TurkeyGrid/PVHOMER®286,2420.164
Jamiu et al. [35]2019NigeriaPV/WT//Diesel G./BatteryHOMER®259,3540.218
Goudarzi et al. [36]2019IranPV/WT/BatteryHOMER®676,3450.274
Shaahid et al. [37]2018Saudi ArabiaPV/WT/BatteryHOMER®35,4490.226
Table 2. Summary of proposed renewable energy system components.
Table 2. Summary of proposed renewable energy system components.
ComponentSpecification
Solar PV cells
Model nameGeneric flat-plate PV
Peak power1 kW
Slop28o
Ground reflection27%
Operating temperature46o
Efficiency14.7%
Capital cost$1000
Replacement cost$1000
O&M cost$5/year
Lifetime25 years
Fuel cell
Model nameProton exchange membrane
Capital cost500 $/kW
Replacement cost450 $/kW
O&M cost0.02 $/h
Lifetime40,000 h
Efficiency90%
Batteries (BS)
Model nameTrojan L16P
Nominal capacity360 Ah, 2.16 kWh
capital cost175 $/one unit
cost of replacement175 $/one unit
O&M cost5 $/year
Converter
Capital cost500 $/kW
Replacement cost450 $/kW
O&M cost$5/year
Lifetime15 years
Efficiency90%
Electrolyzer
Model nameBipolar, alkaline type
Capital cost300 $/kW
Replacement cost290 $/kW
O&M cost5 $/kW
Lifetime25 years
Efficiency85%
Hydrogen storage tank
Capital cost200 $/kg
Replacement cost150 $/kg
O&M cost10 $/year.
Lifetime25 years.
Table 3. Optimal size and related costs for each considered system.
Table 3. Optimal size and related costs for each considered system.
PV (kW)FC (kW)No of BatteriesConv. (kW)Elect. (kW)H2 Tank (kg)Initial Cost ($)Operating Cost ($/yr)NPC ($)COE ($/kWh)
PV-B155n.a.64030n.a.n.a.282,20017,958667,4930.164
PV-FC25035n.a.3016090348,5007339510,1280.124
PV-FC-B235301443013025334,2006786438,6570.117
Table 4. Related costs of different components for each considered system.
Table 4. Related costs of different components for each considered system.
Capital ($)Replacement ($)O&M ($)Salvage ($)Total ($)
PV/FC/BS
PV array235,000025,8770260,877
FC15,00013,12039,285−165965,746
BS25,20043,46615,857−982574,697
Converter15,00012,9200−389924,021
Electrolyzer39,000014,315053,315
H2 Tank50000005000
System334,20069,50695,334−15,383483,657
PV/BS
PV array155,000034,1360189,136
Batteries112,000295,60870,474−13,746464,336
Converter15,00012,9200−389924,021
system282,000308,528104,610−17,645677,493
PV/FC
PV array250,000055,0580305,058
FC17,50029,94958,535−855497,430
Converter15,00012,9200−389924,021
Electrolyzer48,000017,619065,619
H2 Tank18,00000018,000
System348,50042,869131,212−12,453510,128
Table 5. Electrical energy production and consumption.
Table 5. Electrical energy production and consumption.
ItemComponentPV/BSPV/FCPV/FC/BS
Electrical production (kWh/yr)PV304,166 (100%)490,590 (84%)461,155 (85%)
FCn.a.91,002 (16%)81,410 (15%)
Total304,166 (100%)581,592 (100%)542,565 (100%)
Consumption energy (kWh/yr)RO-unit187,307 (100%)187,105 (42%)187,134 (45%)
electrolyzern.a.256,623 (58%)227,153 (55%)
total187,307 (100%)443,728 (100%)414,287 (100%)
Excess electricity(kwh/yr)79,069 (26%)117,063 (20.1%)105,439 (19.4)
Unmet load(kwh/yr)3213 (1.7%)3414 (1.8%)3385 (1.8%)
Capacity shortage(kwh/yr)3822 (2%)3978 (2.1%)3984 (2.1%)
Table 6. The detailed performance of different components of the system.
Table 6. The detailed performance of different components of the system.
QuantityUnitsPV/BSPV/FCPV/FC/BS
PV array
Rated capacitykW155250235
Mean outputkW355653
Daily mean outputkwh83313441263
Capacity factor%22.422.422.4
Total productionkWh/yr304,166490,590461,155
PV penetration%160258244
Hours of operationhr/yr438243824382
Levelized cost$/kWh0.02820.02820.0257
Fuel cell
Hours of operationhr/yrn.a.37972973
Number of startsStarts/yrn.a.573545
Operation lifeyrn.a.10.513.5
Capacity factor%n.a.29.731
Total productionkWh/yrn.a.91,00281,410
Mean electrical outputkWn.a.2427.4
Min. electrical outputkWn.a.0.350.39
Min. electrical outputkWn.a.28.930
Hydrogen consumptionkg/yrn.a.54604885
Specific fuel consumptionkg/kWhn.a.0.060.06
Fuel electrical inputkWh/yrn.a.182,010162,820
Mean electrical efficiency%n.a.5050
Battery storage
Number of batteries640n.a.144
Nominal capacitykWh1382n.a.311
Usable nominal capacitykWh968n.a.218
Autonomyhr36.7n.a.8.27
Lifetime throughoutkWh688,000n.a.154,800
Energy inkWh/yr114,462n.a.13,557
Energy outputkWh/yr97,495n.a.11,523
Storage depletionkWh/yr202n.a.0
Expected lifeyr6.51n.a.10
Hydrogen
Total productionKg/yrn.a.55304895
Levelized cost$/kgn.a.4.194.49
Hydrogen tank autonomyhrn.a.11431.6

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Rezk, H.; Alghassab, M.; Ziedan, H.A. An Optimal Sizing of Stand-Alone Hybrid PV-Fuel Cell-Battery to Desalinate Seawater at Saudi NEOM City. Processes 2020, 8, 382. https://doi.org/10.3390/pr8040382

AMA Style

Rezk H, Alghassab M, Ziedan HA. An Optimal Sizing of Stand-Alone Hybrid PV-Fuel Cell-Battery to Desalinate Seawater at Saudi NEOM City. Processes. 2020; 8(4):382. https://doi.org/10.3390/pr8040382

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Rezk, Hegazy, Mohammed Alghassab, and Hamdy A. Ziedan. 2020. "An Optimal Sizing of Stand-Alone Hybrid PV-Fuel Cell-Battery to Desalinate Seawater at Saudi NEOM City" Processes 8, no. 4: 382. https://doi.org/10.3390/pr8040382

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