IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v290y2024ics0360544223034357.html
   My bibliography  Save this article

Comparative life cycle assessment of renewable energy storage systems for net-zero buildings with varying self-sufficient ratios

Author

Listed:
  • Le, Son Tay
  • Nguyen, Tuan Ngoc
  • Bui, Dac-Khuong
  • Teodosio, Birch
  • Ngo, Tuan Duc

Abstract

The transition towards zero and net-zero buildings necessitates identifying sustainable and effective renewable energy systems to reduce the impacts of operational energy. This study analyses the environmental impacts of multiple microgrids that consist of a photovoltaic plant and a hybrid hydrogen/battery energy storage system in a grid-connected building. To this end, a three-step simulation process was proposed. The first step involved modelling the energy consumption of the building during operation. Following that, the size of components was optimised. Lastly, a comparative life cycle assessment was conducted to evaluate different self-sufficient ratios (SSR). The results show that as SSR increase, the optimised capacities of all components generally increase, although this relationship is complex, particularly as the system approaches full renewable capacity. The climate change impact initially decreases to its lowest values but then increase again towards achieving full self-sufficiency. Furthermore, the results highlight the importance of considering multiple environmental impact categories when designing renewable energy systems. A sensitivity analysis reveals that countries with carbon-intensive electricity grids can reduce climate change impacts by increasing their renewable energy penetration. However, for countries with a high proportion of renewable energy, a higher SSR may not lead to a lower climate change impact but rather exacerbate it.

Suggested Citation

  • Le, Son Tay & Nguyen, Tuan Ngoc & Bui, Dac-Khuong & Teodosio, Birch & Ngo, Tuan Duc, 2024. "Comparative life cycle assessment of renewable energy storage systems for net-zero buildings with varying self-sufficient ratios," Energy, Elsevier, vol. 290(C).
  • Handle: RePEc:eee:energy:v:290:y:2024:i:c:s0360544223034357
    DOI: 10.1016/j.energy.2023.130041
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223034357
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2023.130041?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. Bui, Dac-Khuong & Nguyen, Tuan Ngoc & Ngo, Tuan Duc & Nguyen-Xuan, H., 2020. "An artificial neural network (ANN) expert system enhanced with the electromagnetism-based firefly algorithm (EFA) for predicting the energy consumption in buildings," Energy, Elsevier, vol. 190(C).
    2. Bui, Dac-Khuong & Nguyen, Tuan Ngoc & Ghazlan, Abdallah & Ngo, Tuan Duc, 2021. "Biomimetic adaptive electrochromic windows for enhancing building energy efficiency," Applied Energy, Elsevier, vol. 300(C).
    3. Robledo, Carla B. & Oldenbroek, Vincent & Abbruzzese, Francesca & van Wijk, Ad J.M., 2018. "Integrating a hydrogen fuel cell electric vehicle with vehicle-to-grid technology, photovoltaic power and a residential building," Applied Energy, Elsevier, vol. 215(C), pages 615-629.
    4. Li, Bei & Roche, Robin & Paire, Damien & Miraoui, Abdellatif, 2017. "Sizing of a stand-alone microgrid considering electric power, cooling/heating, hydrogen loads and hydrogen storage degradation," Applied Energy, Elsevier, vol. 205(C), pages 1244-1259.
    5. Mendecka, Barbara & Tribioli, Laura & Cozzolino, Raffaello, 2020. "Life Cycle Assessment of a stand-alone solar-based polygeneration power plant for a commercial building in different climate zones," Renewable Energy, Elsevier, vol. 154(C), pages 1132-1143.
    6. Su, Xing & Xu, Zehan & Tian, Shaochen & Chen, Chaoyang & Huang, Yixiang & Geng, Yining & Chen, Junfeng, 2023. "Life cycle assessment of three typical solar energy utilization systems in different regions of China," Energy, Elsevier, vol. 278(C).
    7. Weiqiang Dong & Yanjun Li & Ji Xiang, 2016. "Optimal Sizing of a Stand-Alone Hybrid Power System Based on Battery/Hydrogen with an Improved Ant Colony Optimization," Energies, MDPI, vol. 9(10), pages 1-17, September.
    8. Notton, G. & Lazarov, V. & Stoyanov, L., 2010. "Optimal sizing of a grid-connected PV system for various PV module technologies and inclinations, inverter efficiency characteristics and locations," Renewable Energy, Elsevier, vol. 35(2), pages 541-554.
    9. Le, Tay Son & Nguyen, Tuan Ngoc & Bui, Dac-Khuong & Ngo, Tuan Duc, 2023. "Optimal sizing of renewable energy storage: A techno-economic analysis of hydrogen, battery and hybrid systems considering degradation and seasonal storage," Applied Energy, Elsevier, vol. 336(C).
    10. Ren, Hongbo & Wu, Qiong & Gao, Weijun & Zhou, Weisheng, 2016. "Optimal operation of a grid-connected hybrid PV/fuel cell/battery energy system for residential applications," Energy, Elsevier, vol. 113(C), pages 702-712.
    11. Eriksson, E.L.V. & Gray, E.MacA., 2017. "Optimization and integration of hybrid renewable energy hydrogen fuel cell energy systems – A critical review," Applied Energy, Elsevier, vol. 202(C), pages 348-364.
    12. Gabrielli, Paolo & Gazzani, Matteo & Martelli, Emanuele & Mazzotti, Marco, 2018. "Optimal design of multi-energy systems with seasonal storage," Applied Energy, Elsevier, vol. 219(C), pages 408-424.
    13. Zhang, Yang & Campana, Pietro Elia & Lundblad, Anders & Yan, Jinyue, 2017. "Comparative study of hydrogen storage and battery storage in grid connected photovoltaic system: Storage sizing and rule-based operation," Applied Energy, Elsevier, vol. 201(C), pages 397-411.
    14. Gabrielli, Paolo & Fürer, Florian & Mavromatidis, Georgios & Mazzotti, Marco, 2019. "Robust and optimal design of multi-energy systems with seasonal storage through uncertainty analysis," Applied Energy, Elsevier, vol. 238(C), pages 1192-1210.
    15. Stougie, Lydia & Del Santo, Giulia & Innocenti, Giulia & Goosen, Emil & Vermaas, David & van der Kooi, Hedzer & Lombardi, Lidia, 2019. "Multi-dimensional life cycle assessment of decentralised energy storage systems," Energy, Elsevier, vol. 182(C), pages 535-543.
    16. Zhang, Xiaojin & Bauer, Christian & Mutel, Christopher L. & Volkart, Kathrin, 2017. "Life Cycle Assessment of Power-to-Gas: Approaches, system variations and their environmental implications," Applied Energy, Elsevier, vol. 190(C), pages 326-338.
    17. Stropnik, R. & Sekavčnik, M. & Ferriz, A.M. & Mori, M., 2018. "Reducing environmental impacts of the ups system based on PEM fuel cell with circular economy," Energy, Elsevier, vol. 165(PB), pages 824-835.
    18. Li, Canbing & Chen, Dawei & Li, Yingjie & Li, Furong & Li, Ran & Wu, Qiuwei & Liu, Xubin & Wei, Juan & He, Shengtao & Zhou, Bin & Allen, Stephen, 2022. "Exploring the interaction between renewables and energy storage for zero-carbon electricity systems," Energy, Elsevier, vol. 261(PA).
    19. Bui, Dac-Khuong & Nguyen, Tuan Ngoc & Ghazlan, Abdallah & Ngo, Ngoc-Tri & Ngo, Tuan Duc, 2020. "Enhancing building energy efficiency by adaptive façade: A computational optimization approach," Applied Energy, Elsevier, vol. 265(C).
    20. Chauhan, Anurag & Saini, R.P., 2014. "A review on Integrated Renewable Energy System based power generation for stand-alone applications: Configurations, storage options, sizing methodologies and control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 99-120.
    21. Di Florio, Giuseppe & Macchi, Edoardo Gino & Mongibello, Luigi & Baratto, Maria Camilla & Basosi, Riccardo & Busi, Elena & Caliano, Martina & Cigolotti, Viviana & Testi, Matteo & Trini, Martina, 2021. "Comparative life cycle assessment of two different SOFC-based cogeneration systems with thermal energy storage integrated into a single-family house nanogrid," Applied Energy, Elsevier, vol. 285(C).
    22. Tang, Hong & Wang, Shengwei, 2023. "Life-cycle economic analysis of thermal energy storage, new and second-life batteries in buildings for providing multiple flexibility services in electricity markets," Energy, Elsevier, vol. 264(C).
    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. De Masi, Rosa Francesca & Festa, Valentino & Penchini, Daniele & Ruggiero, Silvia & Tariello, Francesco & Vanoli, Giuseppe Peter & Zinno, Alberto, 2024. "State of art of hydrogen utilization for building sector and set-up with preliminary experimental results of 1 kWel solid oxide fuel cell installed in a nearly zero energy house," Energy, Elsevier, vol. 302(C).

    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. Le, Tay Son & Nguyen, Tuan Ngoc & Bui, Dac-Khuong & Ngo, Tuan Duc, 2023. "Optimal sizing of renewable energy storage: A techno-economic analysis of hydrogen, battery and hybrid systems considering degradation and seasonal storage," Applied Energy, Elsevier, vol. 336(C).
    2. Harada, Kosuke & Yabe, Kuniaki & Takami, Hirofumi & Goto, Akira & Sato, Yasushi & Hayashi, Yasuhiro, 2023. "Two-step approach for quasi-optimization of energy storage and transportation at renewable energy site," Renewable Energy, Elsevier, vol. 211(C), pages 846-858.
    3. Pu, Yuchen & Li, Qi & Zou, Xueli & Li, Ruirui & Li, Luoyi & Chen, Weirong & Liu, Hong, 2021. "Optimal sizing for an integrated energy system considering degradation and seasonal hydrogen storage," Applied Energy, Elsevier, vol. 302(C).
    4. Li, Zichen & Xia, Yanghong & Bo, Yaolong & Wei, Wei, 2024. "Optimal planning for electricity-hydrogen integrated energy system considering multiple timescale operations and representative time-period selection," Applied Energy, Elsevier, vol. 362(C).
    5. Bartolucci, Lorenzo & Cordiner, Stefano & Mulone, Vincenzo & Pasquale, Stefano, 2019. "Fuel cell based hybrid renewable energy systems for off-grid telecom stations: Data analysis and system optimization," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    6. Petkov, Ivalin & Gabrielli, Paolo, 2020. "Power-to-hydrogen as seasonal energy storage: an uncertainty analysis for optimal design of low-carbon multi-energy systems," Applied Energy, Elsevier, vol. 274(C).
    7. 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).
    8. Wirtz, Marco, 2023. "nPro: A web-based planning tool for designing district energy systems and thermal networks," Energy, Elsevier, vol. 268(C).
    9. Bizon, Nicu, 2019. "Efficient fuel economy strategies for the Fuel Cell Hybrid Power Systems under variable renewable/load power profile," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    10. 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.
    11. Wilke, Christoph & Bensmann, Astrid & Martin, Stefan & Utz, Annika & Hanke-Rauschenbach, Richard, 2018. "Optimal design of a district energy system including supply for fuel cell electric vehicles," Applied Energy, Elsevier, vol. 226(C), pages 129-144.
    12. Wu, Xiong & Qi, Shixiong & Wang, Zhao & Duan, Chao & Wang, Xiuli & Li, Furong, 2019. "Optimal scheduling for microgrids with hydrogen fueling stations considering uncertainty using data-driven approach," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    13. Hoffmann, Maximilian & Priesmann, Jan & Nolting, Lars & Praktiknjo, Aaron & Kotzur, Leander & Stolten, Detlef, 2021. "Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models," Applied Energy, Elsevier, vol. 304(C).
    14. Lechón, Yolanda & Lago, Carmen & Herrera, Israel & Gamarra, Ana Rosa & Pérula, Alberto, 2023. "Carbon benefits of different energy storage alternative end uses. Application to the Spanish case," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    15. Cuisinier, E. & Lemaire, P. & Ruby, A. & Bourasseau, C. & Penz, B., 2023. "Impact of operational modelling choices on techno-economic modelling of local energy systems," Energy, Elsevier, vol. 276(C).
    16. Maximilian Hoffmann & Leander Kotzur & Detlef Stolten & Martin Robinius, 2020. "A Review on Time Series Aggregation Methods for Energy System Models," Energies, MDPI, vol. 13(3), pages 1-61, February.
    17. Dong, Haoxin & Shan, Zijing & Zhou, Jianli & Xu, Chuanbo & Chen, Wenjun, 2023. "Refined modeling and co-optimization of electric-hydrogen-thermal-gas integrated energy system with hybrid energy storage," Applied Energy, Elsevier, vol. 351(C).
    18. Thirunavukkarasu, M. & Sawle, Yashwant & Lala, Himadri, 2023. "A comprehensive review on optimization of hybrid renewable energy systems using various optimization techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
    19. Myada Shadoul & Rashid Al Abri & Hassan Yousef & Abdullah Al Shereiqi, 2024. "Designing a Dispatch Engine for Hybrid Renewable Power Stations Using a Mixed-Integer Linear Programming Technique," Energies, MDPI, vol. 17(13), pages 1-27, July.
    20. Gabrielli, Paolo & Poluzzi, Alessandro & Kramer, Gert Jan & Spiers, Christopher & Mazzotti, Marco & Gazzani, Matteo, 2020. "Seasonal energy storage for zero-emissions multi-energy systems via underground hydrogen storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(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:energy:v:290:y:2024:i:c:s0360544223034357. 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/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.