IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v336y2023ics0306261923001460.html
   My bibliography  Save this article

Design and optimization of an entirely hybrid renewable energy system (WT/PV/BW/HS/TES/EVPL) to supply electrical and thermal loads with considering uncertainties in generation and consumption

Author

Listed:
  • Azad, AmirHossein
  • Shateri, Hossein

Abstract

Renewable energy resources have gotten considerable attention in recent years owing to significant advancements in power electronics technologies, decreased cost of utilizing renewable resources, and increasing concerns about environmental pollutants, particularly in stand-alone applications. Utilizing entirely renewable resources to meet demand has numerous advantages, including lower energy prices, energy price stability, local accessibility, etc. The capability to apply a modified combination of the gray wolf optimization algorithm and the sine–cosine algorithm is evaluated to minimize the levelized cost of energy and the total annualized net present cost (comprising investment, replacement, decommissioning, and operation & maintenance costs) of the proposed system while complying with system constraints and demand requirements. The optimal power planning of a stand-alone hybrid entirely renewable system comprising wind turbines, PV systems, bio-waste units, and storage devices to supply electrical and thermal loads simultaneously was investigated in this paper. A parking lot for electric vehicles is also considered in non-smart and smart charging strategies. In addition, a redefined scenario-based stochastic optimization is utilized to consider uncertainties in electrical and thermal loads, EVs' parameters, and renewable energy resources. The proposed approach is implemented on a small system in Espoo, Finland. The results confirm its efficiency for economically and uninterrupted supplying electrical and thermal demands simultaneously in a stand-alone hybrid system with entirely renewable resources.

Suggested Citation

  • Azad, AmirHossein & Shateri, Hossein, 2023. "Design and optimization of an entirely hybrid renewable energy system (WT/PV/BW/HS/TES/EVPL) to supply electrical and thermal loads with considering uncertainties in generation and consumption," Applied Energy, Elsevier, vol. 336(C).
  • Handle: RePEc:eee:appene:v:336:y:2023:i:c:s0306261923001460
    DOI: 10.1016/j.apenergy.2023.120782
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261923001460
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2023.120782?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Das, Barun K. & Hasan, Mahmudul, 2021. "Optimal sizing of a stand-alone hybrid system for electric and thermal loads using excess energy and waste heat," Energy, Elsevier, vol. 214(C).
    2. Yang, Wenjun & Guo, Jia & Vartosh, Aris, 2022. "Optimal economic-emission planning of multi-energy systems integrated electric vehicles with modified group search optimization," Applied Energy, Elsevier, vol. 311(C).
    3. Cai, Wei & Li, Xing & Maleki, Akbar & Pourfayaz, Fathollah & Rosen, Marc A. & Alhuyi Nazari, Mohammad & Bui, Dieu Tien, 2020. "Optimal sizing and location based on economic parameters for an off-grid application of a hybrid system with photovoltaic, battery and diesel technology," Energy, Elsevier, vol. 201(C).
    4. Askarzadeh, Alireza, 2017. "Distribution generation by photovoltaic and diesel generator systems: Energy management and size optimization by a new approach for a stand-alone application," Energy, Elsevier, vol. 122(C), pages 542-551.
    5. Voelklein, M.A. & Rusmanis, Davis & Murphy, J.D., 2019. "Biological methanation: Strategies for in-situ and ex-situ upgrading in anaerobic digestion," Applied Energy, Elsevier, vol. 235(C), pages 1061-1071.
    6. Sadeghi, Delnia & Hesami Naghshbandy, Ali & Bahramara, Salah, 2020. "Optimal sizing of hybrid renewable energy systems in presence of electric vehicles using multi-objective particle swarm optimization," Energy, Elsevier, vol. 209(C).
    7. Kavousi-Fard, Abdollah & Khodaei, Amin, 2016. "Efficient integration of plug-in electric vehicles via reconfigurable microgrids," Energy, Elsevier, vol. 111(C), pages 653-663.
    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. Xiao, Yulong & Zou, Chongzhe & Dong, Mingqi & Chi, Hetian & Yan, Yulin & Jiang, Shulan, 2024. "Feasibility study: Economic and technical analysis of optimal configuration and operation of a hybrid CSP/PV/wind power cogeneration system with energy storage," Renewable Energy, Elsevier, vol. 225(C).
    2. Koholé, Yemeli Wenceslas & Wankouo Ngouleu, Clint Ameri & Fohagui, Fodoup Cyrille Vincelas & Tchuen, Ghislain, 2024. "Optimization of an off-grid hybrid photovoltaic/wind/diesel/fuel cell system for residential applications power generation employing evolutionary algorithms," Renewable Energy, Elsevier, vol. 224(C).
    3. Mohammad Abdul Baseer & Ibrahim Alsaduni, 2023. "A Novel Renewable Smart Grid Model to Sustain Solar Power Generation," Energies, MDPI, vol. 16(12), pages 1-17, 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. Liang, Hejun & Pirouzi, Sasan, 2024. "Energy management system based on economic Flexi-reliable operation for the smart distribution network including integrated energy system of hydrogen storage and renewable sources," Energy, Elsevier, vol. 293(C).
    2. Zhang, XiaoWei & Yu, Xiaoping & Ye, Xinping & Pirouzi, Sasan, 2023. "Economic energy managementof networked flexi-renewable energy hubs according to uncertainty modeling by the unscented transformation method," Energy, Elsevier, vol. 278(PB).
    3. Fawad Azeem & Ashfaq Ahmad & Taimoor Muzaffar Gondal & Jehangir Arshad & Ateeq Ur Rehman & Elsayed M. Tag Eldin & Muhammad Shafiq & Habib Hamam, 2022. "Load Management and Optimal Sizing of Special-Purpose Microgrids Using Two Stage PSO-Fuzzy Based Hybrid Approach," Energies, MDPI, vol. 15(17), pages 1-19, September.
    4. Àlex Alonso-Travesset & Helena Martín & Sergio Coronas & Jordi de la Hoz, 2022. "Optimization Models under Uncertainty in Distributed Generation Systems: A Review," Energies, MDPI, vol. 15(5), pages 1-40, March.
    5. Tomasz Jałowiec & Henryk Wojtaszek, 2021. "Analysis of the RES Potential in Accordance with the Energy Policy of the European Union," Energies, MDPI, vol. 14(19), pages 1-33, September.
    6. Ahmadi, Seyed Ehsan & Sadeghi, Delnia & Marzband, Mousa & Abusorrah, Abdullah & Sedraoui, Khaled, 2022. "Decentralized bi-level stochastic optimization approach for multi-agent multi-energy networked micro-grids with multi-energy storage technologies," Energy, Elsevier, vol. 245(C).
    7. Zhou, Jianguo & Xu, Zhongtian, 2023. "Optimal sizing design and integrated cost-benefit assessment of stand-alone microgrid system with different energy storage employing chameleon swarm algorithm: A rural case in Northeast China," Renewable Energy, Elsevier, vol. 202(C), pages 1110-1137.
    8. Quddus, Md Abdul & Shahvari, Omid & Marufuzzaman, Mohammad & Ekşioğlu, Sandra D. & Castillo-Villar, Krystel K., 2021. "Designing a reliable electric vehicle charging station expansion under uncertainty," International Journal of Production Economics, Elsevier, vol. 236(C).
    9. Lefeng, Shi & Shengnan, Lv & Chunxiu, Liu & Yue, Zhou & Cipcigan, Liana & Acker, Thomas L., 2020. "A framework for electric vehicle power supply chain development," Utilities Policy, Elsevier, vol. 64(C).
    10. Herc, Luka & Pfeifer, Antun & Duić, Neven & Wang, Fei, 2022. "Economic viability of flexibility options for smart energy systems with high penetration of renewable energy," Energy, Elsevier, vol. 252(C).
    11. Dini, Anoosh & Hassankashi, Alireza & Pirouzi, Sasan & Lehtonen, Matti & Arandian, Behdad & Baziar, Ali Asghar, 2022. "A flexible-reliable operation optimization model of the networked energy hubs with distributed generations, energy storage systems and demand response," Energy, Elsevier, vol. 239(PA).
    12. Davoudkhani, Iraj Faraji & Dejamkhooy, Abdolmajid & Nowdeh, Saber Arabi, 2023. "A novel cloud-based framework for optimal design of stand-alone hybrid renewable energy system considering uncertainty and battery aging," Applied Energy, Elsevier, vol. 344(C).
    13. Vaziri Rad, Mohammad Amin & Kasaeian, Alibakhsh & Niu, Xiaofeng & Zhang, Kai & Mahian, Omid, 2023. "Excess electricity problem in off-grid hybrid renewable energy systems: A comprehensive review from challenges to prevalent solutions," Renewable Energy, Elsevier, vol. 212(C), pages 538-560.
    14. Ghadi, Mojtaba Jabbari & Azizivahed, Ali & Mishra, Dillip Kumar & Li, Li & Zhang, Jiangfeng & Shafie-khah, Miadreza & Catalão, João P.S., 2021. "Application of small-scale compressed air energy storage in the daily operation of an active distribution system," Energy, Elsevier, vol. 231(C).
    15. García-Villoria, Alberto & Domenech, Bruno & Ferrer-Martí, Laia & Juanpera, Marc & Pastor, Rafael, 2020. "Ad-hoc heuristic for design of wind-photovoltaic electrification systems, including management constraints," Energy, Elsevier, vol. 212(C).
    16. Capone, Martina & Guelpa, Elisa & Verda, Vittorio, 2021. "Multi-objective optimization of district energy systems with demand response," Energy, Elsevier, vol. 227(C).
    17. Naderipour, Amirreza & Ramtin, Amir Reza & Abdullah, Aldrin & Marzbali, Massoomeh Hedayati & Nowdeh, Saber Arabi & Kamyab, Hesam, 2022. "Hybrid energy system optimization with battery storage for remote area application considering loss of energy probability and economic analysis," Energy, Elsevier, vol. 239(PD).
    18. Zeynali, Saeed & Nasiri, Nima & Ravadanegh, Sajad Najafi & Marzband, Mousa, 2022. "A three-level framework for strategic participation of aggregated electric vehicle-owning households in local electricity and thermal energy markets," Applied Energy, Elsevier, vol. 324(C).
    19. Homeyra Akter & Harun Or Rashid Howlader & Ahmed Y. Saber & Paras Mandal & Hiroshi Takahashi & Tomonobu Senjyu, 2021. "Optimal Sizing of Hybrid Microgrid in a Remote Island Considering Advanced Direct Load Control for Demand Response and Low Carbon Emission," Energies, MDPI, vol. 14(22), pages 1-19, November.
    20. Toopshekan, Ashkan & Abedian, Ali & Azizi, Arian & Ahmadi, Esmaeil & Vaziri Rad, Mohammad Amin, 2023. "Optimization of a CHP system using a forecasting dispatch and teaching-learning-based optimization algorithm," Energy, Elsevier, vol. 285(C).

    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:eee:appene:v:336:y:2023:i:c:s0306261923001460. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.