IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v254y2019ics0306261919313704.html
   My bibliography  Save this article

Robust optimal design of zero/low energy buildings considering uncertainties and the impacts of objective functions

Author

Listed:
  • Li, Hangxin
  • Wang, Shengwei
  • Tang, Rui

Abstract

Robust design optimization has received great attentions in aerospace/structural engineering fields for few decades. Recently, a few studies have been conducted on robust design optimization in building energy field mostly by directly adopting the objective functions used in these fields. However, the applicability of these objective functions have not been analyzed when applied for buildings while some researcher even questioned this fundamental issue. Furthermore, very few study is concerned with robust design optimization of building envelopes for zero/low energy buildings. In this study, the applicability of commonly-used objective functions for robust design optimization of buildings is analyzed and compared. The robust optimal design for envelopes of zero/low energy buildings in subtropical regions is studied. Major uncertain design inputs, which have significant effects on building performance in subtropical regions, are identified. An artificial neural network model is used for building performance evaluation to reduce computational time. Results show that it is necessary to consider uncertainties for zero/low energy building design as they have significant impacts. The commonly-used objective functions in pioneer fields are not suitable if applied in building energy field directly without proper revision. Revisions to objective functions, particularly the involvement of variance of performance indicator, are proposed for robust design optimization of buildings.

Suggested Citation

  • Li, Hangxin & Wang, Shengwei & Tang, Rui, 2019. "Robust optimal design of zero/low energy buildings considering uncertainties and the impacts of objective functions," Applied Energy, Elsevier, vol. 254(C).
    • Handle: RePEc:eee:appene:v:254:y:2019:i:c:s0306261919313704
    DOI: 10.1016/j.apenergy.2019.113683
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261919313704
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2019.113683?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. Leckner, Mitchell & Zmeureanu, Radu, 2011. "Life cycle cost and energy analysis of a Net Zero Energy House with solar combisystem," Applied Energy, Elsevier, vol. 88(1), pages 232-241, January.
    2. Lu, Yuehong & Wang, Shengwei & Yan, Chengchu & Shan, Kui, 2015. "Impacts of renewable energy system design inputs on the performance robustness of net zero energy buildings," Energy, Elsevier, vol. 93(P2), pages 1595-1606.
    3. Zhou, Zhihua & Feng, Lei & Zhang, Shuzhen & Wang, Chendong & Chen, Guanyi & Du, Tao & Li, Yasong & Zuo, Jian, 2016. "The operational performance of “net zero energy building”: A study in China," Applied Energy, Elsevier, vol. 177(C), pages 716-728.
    4. Gang, Wenjie & Wang, Shengwei & Xiao, Fu & Gao, Dian-ce, 2015. "Robust optimal design of building cooling systems considering cooling load uncertainty and equipment reliability," Applied Energy, Elsevier, vol. 159(C), pages 265-275.
    5. Yu, Chian-Son & Li, Han-Lin, 2000. "A robust optimization model for stochastic logistic problems," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 385-397, March.
    6. D'Agostino, Delia & Parker, Danny, 2018. "A framework for the cost-optimal design of nearly zero energy buildings (NZEBs) in representative climates across Europe," Energy, Elsevier, vol. 149(C), pages 814-829.
    7. Gang, Wenjie & Augenbroe, Godfried & Wang, Shengwei & Fan, Cheng & Xiao, Fu, 2016. "An uncertainty-based design optimization method for district cooling systems," Energy, Elsevier, vol. 102(C), pages 516-527.
    8. 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.
    9. 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.
    10. Li, Hangxin & Wang, Shengwei & Cheung, Howard, 2018. "Sensitivity analysis of design parameters and optimal design for zero/low energy buildings in subtropical regions," Applied Energy, Elsevier, vol. 228(C), pages 1280-1291.
    11. Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
    12. Rezvan, A. Taghipour & Gharneh, N. Shams & Gharehpetian, G.B., 2012. "Robust optimization of distributed generation investment in buildings," Energy, Elsevier, vol. 48(1), pages 455-463.
    13. John M. Mulvey & Robert J. Vanderbei & Stavros A. Zenios, 1995. "Robust Optimization of Large-Scale Systems," Operations Research, INFORMS, vol. 43(2), pages 264-281, April.
    14. Mohamed, Ayman & Hasan, Ala & Sirén, Kai, 2014. "Fulfillment of net-zero energy building (NZEB) with four metrics in a single family house with different heating alternatives," Applied Energy, Elsevier, vol. 114(C), pages 385-399.
    15. Fong, K.F. & Lee, C.K., 2012. "Towards net zero energy design for low-rise residential buildings in subtropical Hong Kong," Applied Energy, Elsevier, vol. 93(C), pages 686-694.
    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. Luo, Jianing & Li, Hangxin & Wang, Shengwei, 2022. "A quantitative reliability assessment and risk quantification method for microgrids considering supply and demand uncertainties," Applied Energy, Elsevier, vol. 328(C).
    2. Binju P Raj & Chandan Swaroop Meena & Nehul Agarwal & Lohit Saini & Shabir Hussain Khahro & Umashankar Subramaniam & Aritra Ghosh, 2021. "A Review on Numerical Approach to Achieve Building Energy Efficiency for Energy, Economy and Environment (3E) Benefit," Energies, MDPI, vol. 14(15), pages 1-26, July.
    3. Zhang, Wei & Valencia, Andrea & Gu, Lixing & Zheng, Qipeng P. & Chang, Ni-Bin, 2020. "Integrating emerging and existing renewable energy technologies into a community-scale microgrid in an energy-water nexus for resilience improvement," Applied Energy, Elsevier, vol. 279(C).
    4. Homaei, Shabnam & Hamdy, Mohamed, 2020. "A robustness-based decision making approach for multi-target high performance buildings under uncertain scenarios," Applied Energy, Elsevier, vol. 267(C).
    5. Li, Hangxin & Wang, Shengwei, 2020. "Coordinated robust optimal design of building envelope and energy systems for zero/low energy buildings considering uncertainties," Applied Energy, Elsevier, vol. 265(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. Li, Hangxin & Wang, Shengwei, 2019. "Coordinated optimal design of zero/low energy buildings and their energy systems based on multi-stage design optimization," Energy, Elsevier, vol. 189(C).
    2. Al-Saadi, Saleh Nasser & Shaaban, Awni K., 2019. "Zero energy building (ZEB) in a cooling dominated climate of Oman: Design and energy performance analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 299-316.
    3. Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2018. "A review of uncertainty characterisation approaches for the optimal design of distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 258-277.
    4. 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.
    5. Niu, Jide & Tian, Zhe & Lu, Yakai & Zhao, Hongfang & Lan, Bo, 2019. "A robust optimization model for designing the building cooling source under cooling load uncertainty," Applied Energy, Elsevier, vol. 241(C), pages 390-403.
    6. Huang, Pei & Huang, Gongsheng & Sun, Yongjun, 2018. "A robust design of nearly zero energy building systems considering performance degradation and maintenance," Energy, Elsevier, vol. 163(C), pages 905-919.
    7. Feng, Wei & Zhang, Qianning & Ji, Hui & Wang, Ran & Zhou, Nan & Ye, Qing & Hao, Bin & Li, Yutong & Luo, Duo & Lau, Stephen Siu Yu, 2019. "A review of net zero energy buildings in hot and humid climates: Experience learned from 34 case study buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    8. Fan, Cheng & Huang, Gongsheng & Sun, Yongjun, 2018. "A collaborative control optimization of grid-connected net zero energy buildings for performance improvements at building group level," Energy, Elsevier, vol. 164(C), pages 536-549.
    9. Liu, Zhijian & Liu, Yuanwei & He, Bao-Jie & Xu, Wei & Jin, Guangya & Zhang, Xutao, 2019. "Application and suitability analysis of the key technologies in nearly zero energy buildings in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 329-345.
    10. Niu, Jide & Tian, Zhe & Yue, Lu, 2020. "Robust optimal design of building cooling sources considering the uncertainty and cross-correlation of demand and source," Applied Energy, Elsevier, vol. 265(C).
    11. Li, Hangxin & Wang, Shengwei, 2020. "Coordinated robust optimal design of building envelope and energy systems for zero/low energy buildings considering uncertainties," Applied Energy, Elsevier, vol. 265(C).
    12. Yuan, Jihui & Huang, Pei & Chai, Jiale, 2022. "Development of a calibrated typical meteorological year weather file in system design of zero-energy building for performance improvements," Energy, Elsevier, vol. 259(C).
    13. AlAjmi, Ali & Abou-Ziyan, Hosny & Ghoneim, Adel, 2016. "Achieving annual and monthly net-zero energy of existing building in hot climate," Applied Energy, Elsevier, vol. 165(C), pages 511-521.
    14. Tian, Wei & Heo, Yeonsook & de Wilde, Pieter & Li, Zhanyong & Yan, Da & Park, Cheol Soo & Feng, Xiaohang & Augenbroe, Godfried, 2018. "A review of uncertainty analysis in building energy assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 285-301.
    15. Li, Hangxin & Wang, Shengwei, 2017. "Probabilistic optimal design concerning uncertainties and on-site adaptive commissioning of air-conditioning water pump systems in buildings," Applied Energy, Elsevier, vol. 202(C), pages 53-65.
    16. Salata, Ferdinando & Ciancio, Virgilio & Dell'Olmo, Jacopo & Golasi, Iacopo & Palusci, Olga & Coppi, Massimo, 2020. "Effects of local conditions on the multi-variable and multi-objective energy optimization of residential buildings using genetic algorithms," Applied Energy, Elsevier, vol. 260(C).
    17. Li, Xian & Lin, Alexander & Young, Chin-Huai & Dai, Yanjun & Wang, Chi-Hwa, 2019. "Energetic and economic evaluation of hybrid solar energy systems in a residential net-zero energy building," Applied Energy, Elsevier, vol. 254(C).
    18. Long, Linshuang & Ye, Hong & Liu, Minghou, 2016. "A new insight into opaque envelopes in a passive solar house: Properties and roles," Applied Energy, Elsevier, vol. 183(C), pages 685-699.
    19. Harkouss, Fatima & Fardoun, Farouk & Biwole, Pascal Henry, 2019. "Optimal design of renewable energy solution sets for net zero energy buildings," Energy, Elsevier, vol. 179(C), pages 1155-1175.
    20. Huang, Pei & Huang, Gongsheng & Sun, Yongjun, 2018. "Uncertainty-based life-cycle analysis of near-zero energy buildings for performance improvements," Applied Energy, Elsevier, vol. 213(C), pages 486-498.

    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:254:y:2019:i:c:s0306261919313704. 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.