IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v94y2016icp654-665.html
   My bibliography  Save this article

A multi-criterion renewable energy system design optimization for net zero energy buildings under uncertainties

Author

Listed:
  • Zhang, Sheng
  • Huang, Pei
  • Sun, Yongjun

Abstract

Net zero energy buildings (NZEBs) are promising to mitigate the increasing energy and environmental problems. For NZEBs, annual energy balance between renewable energy generation and building energy consumption is an essential and fundamental requirement. Conventional RES (renewable energy system) design methods for NZEBs have not systematically considered uncertainties associated with building energy generation and consumption. As a result, either the annual energy balance cannot be achieved or the initial investment of RES is unnecessarily large. Meanwhile, the uncertainties also have significant impacts on NZEB power mismatch which can cause severe grid stress. In order to overcome the above challenges, this study proposes a multi-criterion RES design optimization method for NZEBs under uncertainties. Under the uncertainties, Monte Carlo simulations have been employed to estimate the annual energy balance and the grid stress caused by power mismatch. Three criteria, namely the annual energy balance reliability, the grid stress and the initial investment, are used to evaluate the overall RES design performance based on user-defined weighted factors. A case study has demonstrated the effectiveness of the proposed method in optimizing the size of RES under uncertainties.

Suggested Citation

  • Zhang, Sheng & Huang, Pei & Sun, Yongjun, 2016. "A multi-criterion renewable energy system design optimization for net zero energy buildings under uncertainties," Energy, Elsevier, vol. 94(C), pages 654-665.
    • Handle: RePEc:eee:energy:v:94:y:2016:i:c:p:654-665
    DOI: 10.1016/j.energy.2015.11.044
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544215015947
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2015.11.044?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. Myers, Daryl R., 2005. "Solar radiation modeling and measurements for renewable energy applications: data and model quality," Energy, Elsevier, vol. 30(9), pages 1517-1531.
    2. Li, Yanfu & Zio, Enrico, 2012. "Uncertainty analysis of the adequacy assessment model of a distributed generation system," Renewable Energy, Elsevier, vol. 41(C), pages 235-244.
    3. Salom, Jaume & Marszal, Anna Joanna & Widén, Joakim & Candanedo, José & Lindberg, Karen Byskov, 2014. "Analysis of load match and grid interaction indicators in net zero energy buildings with simulated and monitored data," Applied Energy, Elsevier, vol. 136(C), pages 119-131.
    4. Falconett, Irina & Nagasaka, Ken, 2010. "Comparative analysis of support mechanisms for renewable energy technologies using probability distributions," Renewable Energy, Elsevier, vol. 35(6), pages 1135-1144.
    5. Antimo Barbato & Antonio Capone, 2014. "Optimization Models and Methods for Demand-Side Management of Residential Users: A Survey," Energies, MDPI, vol. 7(9), pages 1-38, September.
    6. Baetens, R. & De Coninck, R. & Van Roy, J. & Verbruggen, B. & Driesen, J. & Helsen, L. & Saelens, D., 2012. "Assessing electrical bottlenecks at feeder level for residential net zero-energy buildings by integrated system simulation," Applied Energy, Elsevier, vol. 96(C), pages 74-83.
    7. Clift, Roland, 2007. "Climate change and energy policy: The importance of sustainability arguments," Energy, Elsevier, vol. 32(4), pages 262-268.
    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. Zhang, Sheng & Sun, Yongjun & Cheng, Yong & Huang, Pei & Oladokun, Majeed Olaide & Lin, Zhang, 2018. "Response-surface-model-based system sizing for Nearly/Net zero energy buildings under uncertainty," Applied Energy, Elsevier, vol. 228(C), pages 1020-1031.
    2. Cubi, Eduard & Akbilgic, Oguz & Bergerson, Joule, 2017. "An assessment framework to quantify the interaction between the built environment and the electricity grid," Applied Energy, Elsevier, vol. 206(C), pages 22-31.
    3. Rehman, Shafiqur & El-Amin, Ibrahim, 2012. "Performance evaluation of an off-grid photovoltaic system in Saudi Arabia," Energy, Elsevier, vol. 46(1), pages 451-458.
    4. Eke, Rustu & Senturk, Ali, 2013. "Monitoring the performance of single and triple junction amorphous silicon modules in two building integrated photovoltaic (BIPV) installations," Applied Energy, Elsevier, vol. 109(C), pages 154-162.
    5. Simona-Vasilica Oprea & Adela Bâra & Adriana Reveiu, 2018. "Informatics Solution for Energy Efficiency Improvement and Consumption Management of Householders," Energies, MDPI, vol. 11(1), pages 1-31, January.
    6. Popović, Željko N. & KovaÄ ki, Neven V. & Popović, Dragan S., 2020. "Resilient distribution network planning under the severe windstorms using a risk-based approach," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    7. Haghi, Ehsan & Raahemifar, Kaamran & Fowler, Michael, 2018. "Investigating the effect of renewable energy incentives and hydrogen storage on advantages of stakeholders in a microgrid," Energy Policy, Elsevier, vol. 113(C), pages 206-222.
    8. Johari, F. & Lindberg, O. & Ramadhani, U.H. & Shadram, F. & Munkhammar, J. & Widén, J., 2024. "Analysis of large-scale energy retrofit of residential buildings and their impact on the electricity grid using a validated UBEM," Applied Energy, Elsevier, vol. 361(C).
    9. Castaneda, Monica & Jimenez, Maritza & Zapata, Sebastian & Franco, Carlos J. & Dyner, Isaac, 2017. "Myths and facts of the utility death spiral," Energy Policy, Elsevier, vol. 110(C), pages 105-116.
    10. Najafi, Arsalan & Falaghi, Hamid & Contreras, Javier & Ramezani, Maryam, 2016. "Medium-term energy hub management subject to electricity price and wind uncertainty," Applied Energy, Elsevier, vol. 168(C), pages 418-433.
    11. Liu, Chunyu & Zheng, Xinrui & Yang, Haibin & Tang, Waiching & Sang, Guochen & Cui, Hongzhi, 2023. "Techno-economic evaluation of energy storage systems for concentrated solar power plants using the Monte Carlo method," Applied Energy, Elsevier, vol. 352(C).
    12. Muhammad Riaz & Aamir Hanif & Haris Masood & Muhammad Attique Khan & Kamran Afaq & Byeong-Gwon Kang & Yunyoung Nam, 2021. "An Optimal Power Flow Solution of a System Integrated with Renewable Sources Using a Hybrid Optimizer," Sustainability, MDPI, vol. 13(23), pages 1-12, December.
    13. Antonelli, Marco & Desideri, Umberto, 2014. "The doping effect of Italian feed-in tariffs on the PV market," Energy Policy, Elsevier, vol. 67(C), pages 583-594.
    14. Fernando Caixeta & André M. Carvalho & Pedro Saraiva & Fausto Freire, 2022. "Sustainability-Focused Excellence: A Novel Model Integrating the Water–Energy–Food Nexus for Agro-Industrial Companies," Sustainability, MDPI, vol. 14(15), pages 1-20, August.
    15. Jia, Shuning & Sheng, Kai & Huang, Dehai & Hu, Kai & Xu, Yizhe & Yan, Chengchu, 2023. "Design optimization of energy systems for zero energy buildings based on grid-friendly interaction with smart grid," Energy, Elsevier, vol. 284(C).
    16. Hui Li & Gengyin Li & Yaowu Wu & Zhidong Wang & Jiaming Wang, 2016. "Operation Modeling of Power Systems Integrated with Large-Scale New Energy Power Sources," Energies, MDPI, vol. 9(10), pages 1-17, October.
    17. McKenna, Russell & Merkel, Erik & Fichtner, Wolf, 2017. "Energy autonomy in residential buildings: A techno-economic model-based analysis of the scale effects," Applied Energy, Elsevier, vol. 189(C), pages 800-815.
    18. Huang, Pei & Wu, Hunjun & Huang, Gongsheng & Sun, Yongjun, 2018. "A top-down control method of nZEBs for performance optimization at nZEB-cluster-level," Energy, Elsevier, vol. 159(C), pages 891-904.
    19. Luthander, Rasmus & Nilsson, Annica M. & Widén, Joakim & Åberg, Magnus, 2019. "Graphical analysis of photovoltaic generation and load matching in buildings: A novel way of studying self-consumption and self-sufficiency," Applied Energy, Elsevier, vol. 250(C), pages 748-759.
    20. Yamaguchi, Yohei & Shoda, Yuto & Yoshizawa, Shinya & Imai, Tatsuya & Perwez, Usama & Shimoda, Yoshiyuki & Hayashi, Yasuhiro, 2023. "Feasibility assessment of net zero-energy transformation of building stock using integrated synthetic population, building stock, and power distribution network framework," Applied Energy, Elsevier, vol. 333(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:94:y:2016:i:c:p:654-665. 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.