IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v220y2024ics0960148123015951.html
   My bibliography  Save this article

Comparative transient assessment and optimization of battery and hydrogen energy storage systems for near-zero energy buildings

Author

Listed:
  • Mohammadi, Zahra
  • Ahmadi, Pouria
  • Ashjaee, Mehdi

Abstract

This research study aims to address the integration of solar energy systems that can be incorporated into buildings to provide zero-energy buildings. In this study, a typical building is considered located in Bandar Abbas city, Iran. Since renewable energy is not always available, energy storage becomes crucial to supplying the energy needed. The primary objective of this case study is to compare two different methods of energy storage: battery and hydrogen storage. TRNSYS, a powerful program for transient simulation is used to model the energy system. TRNSYS's energy system simulation provides consumers with several notable benefits, but it lacks optimization methods. A neural network-genetic algorithm optimization is suggested as a solution to solve this issue. The results indicate that in systems with battery and H2 storage, 39 % and 37 % of the buildings' required electricity can be generated by PV panels, respectively. The findings show that integrating a storage system into the primary system enhances the system's energy security and reduces reliance on grid power. Following that, the optimal value related to the power of the electrolyzer, and fuel cell is computed using a neural network-genetic algorithm optimization approach. The optimal configuration has the least loss of power supply probability (LPSP), CO2 emission, and installation costs. MATLAB software is used to perform the optimization process. According to evaluated data, the hydrogen storage system results in total CO2 generation, LPSP, and total cost of 342 (ton/year), 0.841, and 0.637 (EUR.hr−1), respectively. Also, a parametric study on the battery-based system showed that with the best capacity (7 kW), the values of LPSP, CO2, and cost are 0.5412, 249 (ton/year), and 0.2751 (EUR.hr−1), respectively. Consequently, the battery is an appropriate storage solution for this case study.

Suggested Citation

  • Mohammadi, Zahra & Ahmadi, Pouria & Ashjaee, Mehdi, 2024. "Comparative transient assessment and optimization of battery and hydrogen energy storage systems for near-zero energy buildings," Renewable Energy, Elsevier, vol. 220(C).
    • Handle: RePEc:eee:renene:v:220:y:2024:i:c:s0960148123015951
    DOI: 10.1016/j.renene.2023.119680
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148123015951
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2023.119680?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. Nordmeier, Akira & Chidambaram, Dev, 2018. "Use of Zymomonas mobilis immobilized in doped calcium alginate threads for ethanol production," Energy, Elsevier, vol. 165(PB), pages 603-609.
    2. Mohammadi, Zahra & Ahmadi, Pouria & Ashjaee, Mehdi, 2023. "Proposal and multi-criteria optimization of a novel biomass-based and PEMfuel cell system for generating clean power for building applications," Energy, Elsevier, vol. 277(C).
    3. Reda, Francesco & Fatima, Zarrin, 2019. "Northern European nearly zero energy building concepts for apartment buildings using integrated solar technologies and dynamic occupancy profile: Focus on Finland and other Northern European countries," Applied Energy, Elsevier, vol. 237(C), pages 598-617.
    4. Izadi, Ali & Shahafve, Masoomeh & Ahmadi, Pouria & Hanafizadeh, Pedram, 2023. "Design, and optimization of COVID-19 hospital wards to produce Oxygen and electricity through solar PV panels with hydrogen storage systems by neural network-genetic algorithm," Energy, Elsevier, vol. 263(PA).
    5. Karakoulidis, K. & Mavridis, K. & Bandekas, D.V. & Adoniadis, P. & Potolias, C. & Vordos, N., 2011. "Techno-economic analysis of a stand-alone hybrid photovoltaic-diesel–battery-fuel cell power system," Renewable Energy, Elsevier, vol. 36(8), pages 2238-2244.
    6. El-Hefnawi, Said H., 1998. "Photovoltaic diesel-generator hybrid power system sizing," Renewable Energy, Elsevier, vol. 13(1), pages 33-40.
    7. Behzadi, Amirmohammad & Arabkoohsar, Ahmad, 2020. "Feasibility study of a smart building energy system comprising solar PV/T panels and a heat storage unit," Energy, Elsevier, vol. 210(C).
    8. Modi, Anish & Chaudhuri, Anirban & Vijay, Bhavesh & Mathur, Jyotirmay, 2009. "Performance analysis of a solar photovoltaic operated domestic refrigerator," Applied Energy, Elsevier, vol. 86(12), pages 2583-2591, December.
    9. Yang, Xinyan & Zhang, Shicong & Xu, Wei, 2019. "Impact of zero energy buildings on medium-to-long term building energy consumption in China," Energy Policy, Elsevier, vol. 129(C), pages 574-586.
    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. Pengying Wang & Shuo Zhang, 2022. "Retrofitting Strategies Based on Orthogonal Array Testing to Develop Nearly Zero Energy Buildings," Sustainability, MDPI, vol. 14(8), pages 1-18, April.
    2. Luerssen, Christoph & Gandhi, Oktoviano & Reindl, Thomas & Sekhar, Chandra & Cheong, David, 2020. "Life cycle cost analysis (LCCA) of PV-powered cooling systems with thermal energy and battery storage for off-grid applications," Applied Energy, Elsevier, vol. 273(C).
    3. Mohammed, Ammar & Pasupuleti, Jagadeesh & Khatib, Tamer & Elmenreich, Wilfried, 2015. "A review of process and operational system control of hybrid photovoltaic/diesel generator systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 436-446.
    4. Vasallo, Manuel Jesús & Bravo, José Manuel & Andújar, José Manuel, 2013. "Optimal sizing for UPS systems based on batteries and/or fuel cell," Applied Energy, Elsevier, vol. 105(C), pages 170-181.
    5. Han, Kedong & Ji, Jie & Cai, Jingyong & Gao, Yuhe & Zhang, Feng & Uddin, Md Muin & Song, Zhiying, 2021. "Experimental and numerical investigation on a novel photovoltaic direct-driven ice storage air-conditioning system," Renewable Energy, Elsevier, vol. 172(C), pages 514-528.
    6. Behzadi, Amirmohammad & Holmberg, Sture & Duwig, Christophe & Haghighat, Fariborz & Ooka, Ryozo & Sadrizadeh, Sasan, 2022. "Smart design and control of thermal energy storage in low-temperature heating and high-temperature cooling systems: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    7. Chen, Ke & Luo, Zongkai & Zou, Guofu & He, Dandi & Xiong, Zhongzhuang & Zhou, Yu & Chen, Ben, 2024. "Multi-objective optimization of gradient gas diffusion layer structures for enhancing proton exchange membrane fuel cell performance based on response surface methodology and non-dominated sorting gen," Energy, Elsevier, vol. 288(C).
    8. Huo, Tengfei & Ma, Yuling & Xu, Linbo & Feng, Wei & Cai, Weiguang, 2022. "Carbon emissions in China's urban residential building sector through 2060: A dynamic scenario simulation," Energy, Elsevier, vol. 254(PA).
    9. Mehrjerdi, Hasan & Hemmati, Reza, 2020. "Coordination of vehicle-to-home and renewable capacity resources for energy management in resilience and self-healing building," Renewable Energy, Elsevier, vol. 146(C), pages 568-579.
    10. Assareh, Ehsanolah & Mousavi Asl, Seyed Sajad & Agarwal, Neha & Ahmadinejad, Mehrdad & Ghodrat, Maryam & Lee, Moonyong, 2023. "New optimized configuration for a hybrid PVT solar/electrolyzer/absorption chiller system utilizing the response surface method as a machine learning technique and multi-objective optimization," Energy, Elsevier, vol. 281(C).
    11. Houssem Rafik Al-Hana Bouchekara & Mohammad Shoaib Shahriar & Muhammad Sharjeel Javaid & Yusuf Abubakar Sha’aban & Makbul Anwari Muhammad Ramli, 2021. "Multi-Objective Optimization of a Hybrid Nanogrid/Microgrid: Application to Desert Camps in Hafr Al-Batin," Energies, MDPI, vol. 14(5), pages 1-24, February.
    12. Mansouri, S.A. & Ahmarinejad, A. & Nematbakhsh, E. & Javadi, M.S. & Esmaeel Nezhad, A. & Catalão, J.P.S., 2022. "A sustainable framework for multi-microgrids energy management in automated distribution network by considering smart homes and high penetration of renewable energy resources," Energy, Elsevier, vol. 245(C).
    13. Abdelrazik, A.S. & Shboul, Bashar & Elwardany, Mohamed & Zohny, R.N. & Osama, Ahmed, 2022. "The recent advancements in the building integrated photovoltaic/thermal (BIPV/T) systems: An updated review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    14. Tori, Felipe & Bustamante, Waldo & Vera, Sergio, 2022. "Analysis of Net Zero Energy Buildings public policies at the residential building sector: A comparison between Chile and selected countries," Energy Policy, Elsevier, vol. 161(C).
    15. Isa, Normazlina Mat & Das, Himadry Shekhar & Tan, Chee Wei & Yatim, A.H.M. & Lau, Kwan Yiew, 2016. "A techno-economic assessment of a combined heat and power photovoltaic/fuel cell/battery energy system in Malaysia hospital," Energy, Elsevier, vol. 112(C), pages 75-90.
    16. Tezer, Tuba & Yaman, Ramazan & Yaman, Gülşen, 2017. "Evaluation of approaches used for optimization of stand-alone hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 840-853.
    17. Yilmaz, Saban & Dincer, Furkan, 2017. "Optimal design of hybrid PV-Diesel-Battery systems for isolated lands: A case study for Kilis, Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 344-352.
    18. Deshmukh, M.K. & Deshmukh, S.S., 2008. "Modeling of hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(1), pages 235-249, January.
    19. Zheng, Wen & Xu, Xiao & Huang, Yuan & Zhu, Feng & Yang, Yuyan & Liu, Junyong & Hu, Weihao, 2023. "Adaptive robust scheduling optimization of a smart commercial building considering joint energy and reserve markets," Energy, Elsevier, vol. 283(C).
    20. Zhang, Shicong & Wang, Ke & Xu, Wei & Iyer-Raniga, Usha & Athienitis, Andreas & Ge, Hua & Cho, Dong woo & Feng, Wei & Okumiya, Masaya & Yoon, Gyuyoung & Mazria, Edward & Lyu, Yanjie, 2021. "Policy recommendations for the zero energy building promotion towards carbon neutral in Asia-Pacific Region," Energy Policy, Elsevier, vol. 159(C).

    More about this item

    Statistics

    Access and download statistics

    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:renene:v:220:y:2024:i:c:s0960148123015951. 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.journals.elsevier.com/renewable-energy .

    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.