IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i9p2159-d1640586.html
   My bibliography  Save this article

Comprehensive Benefit Evaluation Analysis of Multi-Energy Complementary Off-Grid System Operation

Author

Listed:
  • Yu Lei

    (Energy Planning and Research Institute, Southwest Electric Power Design Institute Co., Ltd., China Power Engineering Consulting Group, Chengdu 610500, China)

  • Xiaobin Yan

    (Energy Planning and Research Institute, Southwest Electric Power Design Institute Co., Ltd., China Power Engineering Consulting Group, Chengdu 610500, China)

  • Shenhao Yang

    (Energy Planning and Research Institute, Southwest Electric Power Design Institute Co., Ltd., China Power Engineering Consulting Group, Chengdu 610500, China)

  • Yu Fan

    (Energy Planning and Research Institute, Southwest Electric Power Design Institute Co., Ltd., China Power Engineering Consulting Group, Chengdu 610500, China)

  • Chao Ma

    (Energy Planning and Research Institute, Southwest Electric Power Design Institute Co., Ltd., China Power Engineering Consulting Group, Chengdu 610500, China)

  • Qingsong Li

    (School of Electrical and Information, Southwest Petroleum University, Chengdu 610500, China)

  • Yuanfeng Huang

    (School of Electrical and Information, Southwest Petroleum University, Chengdu 610500, China)

  • Wei Yang

    (School of Electrical and Information, Southwest Petroleum University, Chengdu 610500, China)

Abstract

In the future, China’s demand for centralized industrial development in remote areas will gradually increase, but the operation evaluation analysis of off-grid systems applicable to the development of such areas has not yet matured, and it is an urgent challenge to improve the operation mechanism of off-grid systems and then conduct a comprehensive benefit evaluation of off-grid systems. First of all, this paper focuses on the problem that the existing dimensions of the benefit evaluation of multi-energy complementary off-grid systems are not refined and comprehensive enough, and takes into account their high safety and reliability requirements, as well as the potential impacts on local industries and people’s lives after their completion, and then constructs a more complete comprehensive benefit evaluation indicator system for multi-energy complementary off-grid systems. Secondly, the subjective and objective weighting method based on the combination of the AHP (analytic hierarchy process) and AEM (anti-entropy method) is used to assign weights to the evaluation indicators. Finally, based on the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) comprehensive evaluation method, a comprehensive benefit evaluation of a multi-energy complementary off-grid system under different operation schemes is conducted, and the example results show that the size of the relative closeness under different operation schemes has a maximum difference of 0.5592, which verifies that the proposed evaluation indicator system and the multilevel evaluation method can comprehensively evaluate and analyze the strengths and weaknesses of multi-energy complementary off-grid systems under different operation schemes, and provide theoretical guidance and decision-making support for the further promotion and construction of multi-energy complementary off-grid systems.

Suggested Citation

  • Yu Lei & Xiaobin Yan & Shenhao Yang & Yu Fan & Chao Ma & Qingsong Li & Yuanfeng Huang & Wei Yang, 2025. "Comprehensive Benefit Evaluation Analysis of Multi-Energy Complementary Off-Grid System Operation," Energies, MDPI, vol. 18(9), pages 1-20, April.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:9:p:2159-:d:1640586
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/9/2159/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/18/9/2159/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shayan, Mostafa Esmaeili & Najafi, Gholamhassan & Ghobadian, Barat & Gorjian, Shiva & Mamat, Rizalman & Ghazali, Mohd Fairusham, 2022. "Multi-microgrid optimization and energy management under boost voltage converter with Markov prediction chain and dynamic decision algorithm," Renewable Energy, Elsevier, vol. 201(P2), pages 179-189.
    2. Beluco, Alexandre & de Souza, Paulo Kroeff & Krenzinger, Arno, 2008. "A dimensionless index evaluating the time complementarity between solar and hydraulic energies," Renewable Energy, Elsevier, vol. 33(10), pages 2157-2165.
    3. Singh, Arashdeep & Basak, Prasenjit, 2022. "Conceptualization and techno-economic evaluation of municipal solid waste based microgrid," Energy, Elsevier, vol. 238(PB).
    4. Li, Jinze & Liu, Pei & Li, Zheng, 2020. "Optimal design and techno-economic analysis of a solar-wind-biomass off-grid hybrid power system for remote rural electrification: A case study of west China," Energy, Elsevier, vol. 208(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alvin Henao & Luceny Guzman, 2024. "Exploration of Alternatives to Reduce the Gap in Access to Electricity in Rural Communities—Las Nubes Village Case (Barranquilla, Colombia)," Energies, MDPI, vol. 17(1), pages 1-19, January.
    2. Lemence, Allen Lemuel G. & Tamayao, Mili-Ann M., 2021. "Energy consumption profile estimation and benefits of hybrid solar energy system adoption for rural health units in the Philippines," Renewable Energy, Elsevier, vol. 178(C), pages 651-668.
    3. Beluco, Alexandre & Kroeff de Souza, Paulo & Krenzinger, Arno, 2012. "A method to evaluate the effect of complementarity in time between hydro and solar energy on the performance of hybrid hydro PV generating plants," Renewable Energy, Elsevier, vol. 45(C), pages 24-30.
    4. Wu, Xiao & Xi, Han & Qiu, Ruohan & Lee, Kwang Y., 2023. "Low carbon optimal planning of the steel mill gas utilization system," Applied Energy, Elsevier, vol. 343(C).
    5. Terfa, H. & Baghli, L. & Bhandari, R., 2022. "Impact of renewable energy micro-power plants on power grids over Africa," Energy, Elsevier, vol. 238(PA).
    6. Das, Pronob & Das, Barun K. & Rahman, Mushfiqur & Hassan, Rakibul, 2022. "Evaluating the prospect of utilizing excess energy and creating employments from a hybrid energy system meeting electricity and freshwater demands using multi-objective evolutionary algorithms," Energy, Elsevier, vol. 238(PB).
    7. El-Sattar, Hoda Abd & Kamel, Salah & Hassan, Mohamed H. & Jurado, Francisco, 2022. "An effective optimization strategy for design of standalone hybrid renewable energy systems," Energy, Elsevier, vol. 260(C).
    8. Meina Shen & Runkun Cheng & Da Liu, 2024. "Optimal Bidding Strategies for Wind-Thermal Power Generation Rights Trading: A Game-Theoretic Approach Integrating Carbon Trading and Green Certificate Trading," Sustainability, MDPI, vol. 16(16), pages 1-15, August.
    9. Pereira, Géssica Michelle dos Santos & Weigert, Gabriela Rosalee & Macedo, Pablo Lopes & Silva, Kiane Alves e & Segura Salas, Cresencio Silvio & Gonçalves, Antônio Maurício de Matos & Nascimento, Hebe, 2022. "Quasi-dynamic operation and maintenance plan for photovoltaic systems in remote areas: The framework of Pantanal-MS," Renewable Energy, Elsevier, vol. 181(C), pages 404-416.
    10. Zhiming Lu & Youting Li, 2023. "A Multi-Criteria Framework for Sustainability Evaluation of Hydrogen-Based Multi-Microgrid Systems under Triangular Intuitionistic Fuzzy Environment," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    11. Isabelo Rabuya & Melissa Libres & Michael Lochinvar Abundo & Evelyn Taboada, 2021. "Moving Up the Electrification Ladder in Off-Grid Settlements with Rooftop Solar Microgrids," Energies, MDPI, vol. 14(12), pages 1-32, June.
    12. Vázquez, Rubén & Cabos, William & Nieto-Borge, José Carlos & Gutiérrez, Claudia, 2024. "Complementarity of offshore energy resources on the Spanish coasts: Wind, wave, and photovoltaic energy," Renewable Energy, Elsevier, vol. 224(C).
    13. Chinna Alluraiah Nallolla & Vijayapriya Perumal, 2022. "Optimal Design of a Hybrid Off-Grid Renewable Energy System Using Techno-Economic and Sensitivity Analysis for a Rural Remote Location," Sustainability, MDPI, vol. 14(22), pages 1-25, November.
    14. Aktas, Ilter Sahin, 2024. "Techno-economic feasibility analysis and optimisation of on/off-grid wind-biogas-CHP hybrid energy system for the electrification of university campus: A case study," Renewable Energy, Elsevier, vol. 237(PC).
    15. Pei Juan Yew & Deepak Chaulagain & Noel Ngando Same & Jaebum Park & Jeong-Ok Lim & Jeung-Soo Huh, 2024. "Optimal Hybrid Renewable Energy System to Accelerate a Sustainable Energy Transition in Johor, Malaysia," Sustainability, MDPI, vol. 16(17), pages 1-24, September.
    16. Abdul Munim Rehmani & Syed Ali Abbas Kazmi & Abdullah Altamimi & Zafar A. Khan & Muhammad Awais, 2023. "Techno-Economic-Environmental Assessment of an Isolated Rural Micro-Grid from a Mid-Career Repowering Perspective," Sustainability, MDPI, vol. 15(3), pages 1-35, January.
    17. Jurasz, Jakub & Dąbek, Paweł B. & Kaźmierczak, Bartosz & Kies, Alexander & Wdowikowski, Marcin, 2018. "Large scale complementary solar and wind energy sources coupled with pumped-storage hydroelectricity for Lower Silesia (Poland)," Energy, Elsevier, vol. 161(C), pages 183-192.
    18. Huang, Kangdi & Luo, Peng & Liu, Pan & KIM, Jong Suk & Wang, Yintang & Xu, Weifeng & Li, He & Gong, Yu, 2022. "Improving complementarity of a hybrid renewable energy system to meet load demand by using hydropower regulation ability," Energy, Elsevier, vol. 248(C).
    19. Neto, Pedro Bezerra Leite & Saavedra, Osvaldo R. & Oliveira, Denisson Q., 2020. "The effect of complementarity between solar, wind and tidal energy in isolated hybrid microgrids," Renewable Energy, Elsevier, vol. 147(P1), pages 339-355.
    20. Sameh Mahjoub & Larbi Chrifi-Alaoui & Saïd Drid & Nabil Derbel, 2023. "Control and Implementation of an Energy Management Strategy for a PV–Wind–Battery Microgrid Based on an Intelligent Prediction Algorithm of Energy Production," Energies, MDPI, vol. 16(4), pages 1-26, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:9:p:2159-:d:1640586. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.