IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i13p3777-d580816.html
   My bibliography  Save this article

Optimization of Wind Energy Battery Storage Microgrid by Division Algorithm Considering Cumulative Exergy Demand for Power-Water Cogeneration

Author

Listed:
  • Mohammadali Kiehbadroudinezhad

    (Division of Engineering, Saint Mary’s University, Halifax, NS B3H 3C3, Canada)

  • Adel Merabet

    (Division of Engineering, Saint Mary’s University, Halifax, NS B3H 3C3, Canada)

  • Homa Hosseinzadeh-Bandbafha

    (Department of Mechanical Engineering of Agricultural Machinery, Faculty of Agricultural Engineering and Technology, University of Tehran, Karaj 77871-31587, Iran)

Abstract

This study investigates the use of division algorithms to optimize the size of a desalination system integrated with a microgrid based on a wind turbine plant and the battery storage to supply freshwater based on cost, reliability, and energy losses. Cumulative exergy demand is used to identify and minimize the energy losses in the optimized system. Division algorithms are used to overcome the drawback of low convergence speed encountered by the well-known method genetic algorithm. The findings indicated that there is a positive relationship between cost, cumulative exergy, and reliability. More specifically, when the loss of power supply probability is 10%, compared to when it is 0%, the total cumulative exergy demand and total life cycle cost are reduced by 34.76% when the battery is full and 45.44% when the battery is empty and there is a 44.43% decrease in total life cycle cost, respectively. However, the more reliable system, the less exergy is lost during the production of 1 m 3 freshwater by desalination integrated into wind turbine plant.

Suggested Citation

  • Mohammadali Kiehbadroudinezhad & Adel Merabet & Homa Hosseinzadeh-Bandbafha, 2021. "Optimization of Wind Energy Battery Storage Microgrid by Division Algorithm Considering Cumulative Exergy Demand for Power-Water Cogeneration," Energies, MDPI, vol. 14(13), pages 1-20, June.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3777-:d:580816
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/13/3777/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/13/3777/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Amiri, Zahra & Asgharipour, Mohammad Reza & Campbell, Daniel E. & Armin, Mohammad, 2020. "Extended exergy analysis (EAA) of two canola farming systems in Khorramabad, Iran," Agricultural Systems, Elsevier, vol. 180(C).
    2. Aman A. Tanvir & Adel Merabet, 2020. "Artificial Neural Network and Kalman Filter for Estimation and Control in Standalone Induction Generator Wind Energy DC Microgrid," Energies, MDPI, vol. 13(7), pages 1-16, April.
    3. Maleki, Akbar & Khajeh, Morteza Gholipour & Rosen, Marc A., 2016. "Weather forecasting for optimization of a hybrid solar-wind–powered reverse osmosis water desalination system using a novel optimizer approach," Energy, Elsevier, vol. 114(C), pages 1120-1134.
    4. Manju, S. & Sagar, Netramani, 2017. "Renewable energy integrated desalination: A sustainable solution to overcome future fresh-water scarcity in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 594-609.
    5. Mayer, Martin János & Szilágyi, Artúr & Gróf, Gyula, 2020. "Environmental and economic multi-objective optimization of a household level hybrid renewable energy system by genetic algorithm," Applied Energy, Elsevier, vol. 269(C).
    6. McManus, M.C., 2012. "Environmental consequences of the use of batteries in low carbon systems: The impact of battery production," Applied Energy, Elsevier, vol. 93(C), pages 288-295.
    7. Nithya Saiprasad & Akhtar Kalam & Aladin Zayegh, 2019. "Triple Bottom Line Analysis and Optimum Sizing of Renewable Energy Using Improved Hybrid Optimization Employing the Genetic Algorithm: A Case Study from India," Energies, MDPI, vol. 12(3), pages 1-23, January.
    8. Zhang, Weiping & Maleki, Akbar & Rosen, Marc A. & Liu, Jingqing, 2018. "Optimization with a simulated annealing algorithm of a hybrid system for renewable energy including battery and hydrogen storage," Energy, Elsevier, vol. 163(C), pages 191-207.
    9. Li, Rong & Guo, Su & Yang, Yong & Liu, Deyou, 2020. "Optimal sizing of wind/ concentrated solar plant/ electric heater hybrid renewable energy system based on two-stage stochastic programming," Energy, Elsevier, vol. 209(C).
    10. Ali, Aamer & Tufa, Ramato Ashu & Macedonio, Francesca & Curcio, Efrem & Drioli, Enrico, 2018. "Membrane technology in renewable-energy-driven desalination," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1-21.
    11. Ardjal, Aghiles & Merabet, Adel & Bettayeb, Maamar & Mansouri, Rachid & Labib, Labib, 2019. "Design and implementation of a fractional nonlinear synergetic controller for generator and grid converters of wind energy conversion system," Energy, Elsevier, vol. 186(C).
    12. Starke, Allan R. & Cardemil, José M. & Escobar, Rodrigo & Colle, Sergio, 2018. "Multi-objective optimization of hybrid CSP+PV system using genetic algorithm," Energy, Elsevier, vol. 147(C), pages 490-503.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mohammadali Kiehbadroudinezhad & Adel Merabet & Ahmed G. Abo-Khalil & Tareq Salameh & Chaouki Ghenai, 2022. "Intelligent and Optimized Microgrids for Future Supply Power from Renewable Energy Resources: A Review," Energies, MDPI, vol. 15(9), pages 1-21, May.
    2. Hale Bakır & Adel Merabet & Mohammadali Kiehbadroudinezhad, 2023. "Optimized Control of a Hybrid Water Pumping System Integrated with Solar Photovoltaic and Battery Storage: Towards Sustainable and Green Water-Power Supply," Energies, MDPI, vol. 16(13), pages 1-16, July.
    3. Kiehbadroudinezhad, Mohammadali & Hosseinzadeh-Bandbafha, Homa & Varjani, Sunita & Wang, Yajing & Peng, Wanxi & Pan, Junting & Aghbashlo, Mortaza & Tabatabaei, Meisam, 2023. "Marine shell-based biorefinery: A sustainable solution for aquaculture waste valorization," Renewable Energy, Elsevier, vol. 206(C), pages 623-634.
    4. Mohammadali Kiehbadroudinezhad & Adel Merabet & Homa Hosseinzadeh-Bandbafha, 2022. "Review of Latest Advances and Prospects of Energy Storage Systems: Considering Economic, Reliability, Sizing, and Environmental Impacts Approach," Clean Technol., MDPI, vol. 4(2), pages 1-25, June.

    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. Mito, Mohamed T. & Ma, Xianghong & Albuflasa, Hanan & Davies, Philip A., 2019. "Reverse osmosis (RO) membrane desalination driven by wind and solar photovoltaic (PV) energy: State of the art and challenges for large-scale implementation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 669-685.
    2. Fares, Dalila & Fathi, Mohamed & Mekhilef, Saad, 2022. "Performance evaluation of metaheuristic techniques for optimal sizing of a stand-alone hybrid PV/wind/battery system," Applied Energy, Elsevier, vol. 305(C).
    3. Zhang, Weiping & Maleki, Akbar, 2022. "Modeling and optimization of a stand-alone desalination plant powered by solar/wind energies based on back-up systems using a hybrid algorithm," Energy, Elsevier, vol. 254(PC).
    4. Akhlaque Ahmad Khan & Ahmad Faiz Minai & Rupendra Kumar Pachauri & Hasmat Malik, 2022. "Optimal Sizing, Control, and Management Strategies for Hybrid Renewable Energy Systems: A Comprehensive Review," Energies, MDPI, vol. 15(17), pages 1-29, August.
    5. Yang, Jingze & Chi, Hetian & Cheng, Mohan & Dong, Mingqi & Li, Siwu & Yao, Hong, 2023. "Performance analysis of hydrogen supply using curtailed power from a solar-wind-storage power system," Renewable Energy, Elsevier, vol. 212(C), pages 1005-1019.
    6. Pablo Benalcazar & Adam Suski & Jacek Kamiński, 2020. "Optimal Sizing and Scheduling of Hybrid Energy Systems: The Cases of Morona Santiago and the Galapagos Islands," Energies, MDPI, vol. 13(15), pages 1-20, August.
    7. Esmaeil Ahmadi & Benjamin McLellan & Seiichi Ogata & Behnam Mohammadi-Ivatloo & Tetsuo Tezuka, 2020. "An Integrated Planning Framework for Sustainable Water and Energy Supply," Sustainability, MDPI, vol. 12(10), pages 1-37, May.
    8. Ahmadi, Esmaeil & McLellan, Benjamin & Tezuka, Tetsuo, 2020. "The economic synergies of modelling the renewable energy-water nexus towards sustainability," Renewable Energy, Elsevier, vol. 162(C), pages 1347-1366.
    9. Wang, Chen & Guo, Su & Pei, Huanjin & He, Yi & Liu, Deyou & Li, Mengying, 2023. "Rolling optimization based on holism for the operation strategy of solar tower power plant," Applied Energy, Elsevier, vol. 331(C).
    10. Schallenberg-Rodríguez, Julieta & Del Rio-Gamero, Beatriz & Melian-Martel, Noemi & Lis Alecio, Tyrone & González Herrera, Javier, 2020. "Energy supply of a large size desalination plant using wave energy. Practical case: North of Gran Canaria," Applied Energy, Elsevier, vol. 278(C).
    11. He, Yi & Guo, Su & Zhou, Jianxu & Ye, Jilei & Huang, Jing & Zheng, Kun & Du, Xinru, 2022. "Multi-objective planning-operation co-optimization of renewable energy system with hybrid energy storages," Renewable Energy, Elsevier, vol. 184(C), pages 776-790.
    12. Weinand, Jann Michael & Scheller, Fabian & McKenna, Russell, 2020. "Reviewing energy system modelling of decentralized energy autonomy," Energy, Elsevier, vol. 203(C).
    13. Benedek Kiss & Jose Dinis Silvestre & Rita Andrade Santos & Zsuzsa Szalay, 2021. "Environmental and Economic Optimisation of Buildings in Portugal and Hungary," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    14. Hunt, Julian David & Nascimento, Andreas & Zakeri, Behnam & Barbosa, Paulo Sérgio Franco, 2022. "Hydrogen Deep Ocean Link: a global sustainable interconnected energy grid," Energy, Elsevier, vol. 249(C).
    15. He, Hongwen & Xiong, Rui & Zhao, Kai & Liu, Zhentong, 2013. "Energy management strategy research on a hybrid power system by hardware-in-loop experiments," Applied Energy, Elsevier, vol. 112(C), pages 1311-1317.
    16. He, Zhaoyu & Guo, Weimin & Zhang, Peng, 2022. "Performance prediction, optimal design and operational control of thermal energy storage using artificial intelligence methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    17. khanmohammadi, Shoaib & Saadat-Targhi, Morteza, 2019. "Performance enhancement of an integrated system with solar flat plate collector for hydrogen production using waste heat recovery," Energy, Elsevier, vol. 171(C), pages 1066-1076.
    18. Fonseca, Juan D. & Commenge, Jean-Marc & Camargo, Mauricio & Falk, Laurent & Gil, Iván D., 2021. "Sustainability analysis for the design of distributed energy systems: A multi-objective optimization approach," Applied Energy, Elsevier, vol. 290(C).
    19. Yanfeng Liu & Yaxing Wang & Xi Luo, 2020. "Design and Operation Optimization of Distributed Solar Energy System Based on Dynamic Operation Strategy," Energies, MDPI, vol. 14(1), pages 1-26, December.
    20. Masebinu, S.O. & Akinlabi, E.T. & Muzenda, E. & Aboyade, A.O., 2017. "Techno-economics and environmental analysis of energy storage for a student residence under a South African time-of-use tariff rate," Energy, Elsevier, vol. 135(C), pages 413-429.

    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:14:y:2021:i:13:p:3777-:d:580816. 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.