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Advances in Energy Conservation and Rational Use of Energy
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Advances in Energy Conservation and Rational Use of Energy

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 7081

Special Issue Editor

Dr. Eunsung Oh

E-Mail Website
Guest Editor
Department of Electrical and Electronic Engineering, Hanseo University, Chungcheongnam-do 31962, Korea
Interests: network management; green IT; smart grid; smart energy community; smart city
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

A number of countries have announced the roadmap to achieve net zero emmisions for limiting the global temperature rise to 1.5 °C. The use of energy is an essential issue to achieve the goal not only in the scientific and technical aspect, but also in the social and economic aspect. Therefore, this Special issues is intended for new ideas and experimental results in the field of energy conservation and rational use of energy.

Areas relevant to energy conservation and rational use of energy include but are not limited to:

  • Effective energy consumption;
  • Energy-saving program;
  • Energy system efficiency;
  • Effective energy transaction;
  • Energy sharing;
  • Community energy;
  • Sector coupling;
  • Social-economic impact of energy.

Dr. Eunsung Oh
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • energy conservation
  • energy consumption
  • energy efficiency
  • energy saving
  • energy sharing
  • energy transaction
  • rational use of energy
  • sector coupling
  • social-economic

Published Papers (5 papers)

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Research

14 pages, 4644 KiB  
Article
Unit Operation Combination and Flow Distribution Scheme of Water Pump Station System Based on Genetic Algorithm
by Yaping Zhao, Pengli Zhang, Yongjian Pu, Hui Lei and Xiaobo Zheng
Appl. Sci. 2023, 13(21), 11869; https://doi.org/10.3390/app132111869 - 30 Oct 2023
Viewed by 810
Abstract
Pump station engineering is a water conservancy project that utilizes water pump units for energy transfer and conversion, and safe water transportation. This study ensures the safe and efficient operation of the pumping station system by taking a pump station project containing seven [...] Read more.
Pump station engineering is a water conservancy project that utilizes water pump units for energy transfer and conversion, and safe water transportation. This study ensures the safe and efficient operation of the pumping station system by taking a pump station project containing seven water pump units as the research object. Under the premise that the total water intake of the pumping station is certain, the flow distribution of the pumping station is optimized with the working flow and head as the constraint function, and the minimum operating cost as the objective function, and the required number of operating units is determined to obtain the optimal combination of flow distribution and the corresponding working flow of each operating unit. Compared with previous studies, the novel feature of this study is that a genetic algorithm is used to optimize the power-up combination and rationally distribute the flow, which can minimize the energy consumption and maximize the operation efficiency of the pumping station. Then, a genetic-algorithm-based optimization method is constructed for unit operation combination and flow distribution. The optimized combination of units is evaluated by using the uniformity of flow velocity at the inlet section of the water pump and the average deviation angle of the section as indicators. The results indicate that, when each operating unit in the pump station has the same working flow distribution, the total input power of the pump station is at maximum. As the differences increase in the working flow rates allocated to each operating unit, the total input power of the pump station decreases. Through the proposed schemes, the optimal operating combination and flow distribution of the pump station system can be achieved when the total water intake is constant, thereby enabling efficient operations and creating maximum economic and social benefits. Full article
(This article belongs to the Special Issue Advances in Energy Conservation and Rational Use of Energy)
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17 pages, 4209 KiB  
Article
Evaluation and Economics of Shale Gas Reserves in the Flysch-Eocene Formation of the Jaca Basin
by Laura M. Valle-Falcones, Carlos Grima-Olmedo, Ramón Rodríguez-Pons Esparver and Enrique Zamarro-Toves
Appl. Sci. 2023, 13(3), 1732; https://doi.org/10.3390/app13031732 - 29 Jan 2023
Cited by 2 | Viewed by 1511
Abstract
The new international outlook for the gas sector suggests evaluating exploitable reserves in previously unconsidered areas including hydraulic fracturing technology. In order to estimate the amount of gas in the Jaca Flysch formation, the analysis of geological and geophysical logs and the volumetric [...] Read more.
The new international outlook for the gas sector suggests evaluating exploitable reserves in previously unconsidered areas including hydraulic fracturing technology. In order to estimate the amount of gas in the Jaca Flysch formation, the analysis of geological and geophysical logs and the volumetric method have been used. It has been taking into account the part of the formation likely to contain gas, the porosity (2.65%) calculated from sonic logs with Wyllie’s equation, the water saturation (35.3%) with Archie’s formula, and the initial gas formation volume factor (Bgi), estimated with MHA-P3 software with the reservoir pressure/temperature data 3600 psi/90 °C. The economic analysis of each well has been carried out based on three options, without stimulation, with 50% and 100% stimulation by fracking, and five possible construction costs (7.5–15 MM€). The impact of the use of the fracking technology on the production of the well is about 48%. The production rate and the economic impact that its exploitation would have on the domestic demand for natural gas has been analyzed, resulting in a significant contribution to the national energy mix of between 10–20% of consumption for several years. Full article
(This article belongs to the Special Issue Advances in Energy Conservation and Rational Use of Energy)
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18 pages, 7320 KiB  
Article
Identifying Energy Inefficiencies Using Self-Organizing Maps: Case of A Highly Efficient Certified Office Building
by Hanaa Talei, Driss Benhaddou, Carlos Gamarra, Mohamed Benhaddou and Mohamed Essaaidi
Appl. Sci. 2023, 13(3), 1666; https://doi.org/10.3390/app13031666 - 28 Jan 2023
Cited by 2 | Viewed by 1450
Abstract
Living and working in comfort while a building’s energy consumption is kept under control requires monitoring a system’s consumption to optimize the energy performance. The way energy is generally used is often far from optimal, which requires the use of smart meters that [...] Read more.
Living and working in comfort while a building’s energy consumption is kept under control requires monitoring a system’s consumption to optimize the energy performance. The way energy is generally used is often far from optimal, which requires the use of smart meters that can record the energy consumption and communicate the information to an energy manager who can analyze the consumption behavior, monitor, and optimize energy performance. Given that the heating, ventilation, and air conditioning (HVAC) systems are the largest electricity consumers in buildings, this paper discusses the importance of incorporating occupancy data in the energy efficiency analysis and unveils energy inefficiencies in the way the system operates. This paper uses 1-year data of a highly efficient certified office building located in the Houston area and shows the power of self-organizing maps and data analysis in identifying up to 4.6% possible savings in energy. The use of time series analysis and machine-learning techniques is conducive to helping energy managers discover more energy savings. Full article
(This article belongs to the Special Issue Advances in Energy Conservation and Rational Use of Energy)
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14 pages, 2452 KiB  
Article
Community Solar Operation Strategy for Smart Energy Communities Considering Resource Fairness
by Eunsung Oh
Appl. Sci. 2022, 12(24), 12867; https://doi.org/10.3390/app122412867 - 14 Dec 2022
Cited by 4 | Viewed by 1247
Abstract
This study proposes a community solar operation strategy for smart energy communities (SECs), which comprise members of an energy consumption group, to minimize the electricity bill of its members. When sharing resources within a group, resource distribution is a critical problem, and fairness [...] Read more.
This study proposes a community solar operation strategy for smart energy communities (SECs), which comprise members of an energy consumption group, to minimize the electricity bill of its members. When sharing resources within a group, resource distribution is a critical problem, and fairness in resource sharing is the main constraint for operation. The proposed community solar operation is formulated as a mixed-integer liner problem that can be optimally solved using centralized control and future time information. However, obtaining information of a future time is not causal. By decomposing the problem into individual problems that are solved by each member at each decision time, the proposed strategy operates the community solar in a distributed manner with partial information. The simulation results using the real dataset recorded in Korea show that the use of the proposed operation strategy results in a fair distribution of electricity bill savings with a marginal benefit reduction of 10% compared to the optimal operation that requires a centralized control and information on the future time. Moreover, a discussion on the tradeoff between the benefits of electricity bill savings and guarantee of fairness is provided. Based on the results, this study can serve as a reference for the design of community solar operations for SECs. Full article
(This article belongs to the Special Issue Advances in Energy Conservation and Rational Use of Energy)
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20 pages, 2624 KiB  
Article
Hybrid Cooperative Spectrum Sharing Protocols Based on OMA and NOMA in Cognitive Radio Networks
by Suoping Li, Hongli Li, Qian Yang and Jaafar Gaber
Appl. Sci. 2022, 12(24), 12683; https://doi.org/10.3390/app122412683 - 10 Dec 2022
Cited by 2 | Viewed by 1354
Abstract
In cognitive radio networks (CRNs), the performance of the primary users (PUs) may suffer adverse effects from the secondary users (SUs) if the spectrum of PUs is haphazardly shared with SUs. In this paper, we propose a hybrid cognitive cooperative protocol based on [...] Read more.
In cognitive radio networks (CRNs), the performance of the primary users (PUs) may suffer adverse effects from the secondary users (SUs) if the spectrum of PUs is haphazardly shared with SUs. In this paper, we propose a hybrid cognitive cooperative protocol based on orthogonal multiple access (OMA) and non-orthogonal multiple access (NOMA) that improves spectrum utilization by allowing the SUs opportunistic access to the spectrum of the Pus, while guaranteeing the performance of the PU. Specifically, the system can switch between non-cognitive transmission mode, underlay OMA mode, and overlay OMA/NOMA mode, according to the automatic repeat request (ARQ) feedback of PU. The SU has the opportunity to acquire the spectrum to activate the underlay OMA and overlay OMA/NOMA modes only if it listens to the acknowledge (ACK) or negative acknowledge (NACK) feedback from the PU. In order to describe the switching between these three switching modes, a Markov model is developed to analyze the corresponding steady-state probabilities and end-to-end outage probabilities. So, we derive closed-form expressions for the throughput of PU and SU to investigate the spectrum utilization. Numerical and simulation results show that the proposed hybrid cooperative cognitive protocol outperforms the pure OMA hybrid cooperative cognitive protocol. Full article
(This article belongs to the Special Issue Advances in Energy Conservation and Rational Use of Energy)
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