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Optimal design of renewable energy solution sets for net zero energy buildings

Author

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  • Harkouss, Fatima
  • Fardoun, Farouk
  • Biwole, Pascal Henry

Abstract

Net-zero energy buildings (NZEBs) have been considered as an efficient solution to limit the growing energy consumption and pollution emissions from buildings. The configurations and the capacities of the implemented renewable energy systems in NZEBs should be wisely selected to ensure the intended performance objective. This study aims to optimize, investigate and compare six renewable energy solution sets for designing NZEBs in three different climates: Indore (cooling dominant), Tromso (heating dominant), and Beijing (mixed climate). The optimization is carried out using a multi-criteria decision-making methodology. The implemented methodology is composed of two phases. In the first phase, the optimal sizes of solution sets in each climate are derived and analyzed. The effectiveness of optimal solution sets is evaluated with respect to economy, environment, energy and grid stress. In the second phase, recommendations for each region are offered according to the overall performance evaluation results. The evaluation criteria include life cycle cost, payback period, levelized cost of energy, CO2eq emissions, grid interaction index, load matching index, and total energy consumption. The analyses show that, in Indore (hot climate), it is recommended to utilize the solution set composed of air source heat pump for cooling and flat plate solar collectors for domestic hot water (DHW) production. In Tromso (cold climate), the use of a biodiesel generator is promising to produce both electricity and hot steam for heating as well as DHW use. In Beijing (mixed climate), it is recommended to utilize electric chillers for cooling and natural gas condensing boiler for heating and DHW usage.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:energy:v:179:y:2019:i:c:p:1155-1175
    DOI: 10.1016/j.energy.2019.05.013
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    1. Cheung, Brian C. & Carriveau, Rupp & Ting, David S.K., 2014. "Multi-objective optimization of an underwater compressed air energy storage system using genetic algorithm," Energy, Elsevier, vol. 74(C), pages 396-404.
    2. Machairas, Vasileios & Tsangrassoulis, Aris & Axarli, Kleo, 2014. "Algorithms for optimization of building design: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 101-112.
    3. Sun, Yongjun & Huang, Gongsheng & Xu, Xinhua & Lai, Alvin Chi-Keung, 2018. "Building-group-level performance evaluations of net zero energy buildings with non-collaborative controls," Applied Energy, Elsevier, vol. 212(C), pages 565-576.
    4. Zhang, Shicong & Jiang, Yiqiang & Xu, Wei & Li, Huai & Yu, Zhen, 2016. "Operating performance in cooling mode of a ground source heat pump of a nearly-zero energy building in the cold region of China," Renewable Energy, Elsevier, vol. 87(P3), pages 1045-1052.
    5. Huang, Zhijia & Lu, Yuehong & Wei, Mengmeng & Liu, Jingjing, 2017. "Performance analysis of optimal designed hybrid energy systems for grid-connected nearly/net zero energy buildings," Energy, Elsevier, vol. 141(C), pages 1795-1809.
    6. Petela, Karolina & Manfrida, Giampaolo & Szlek, Andrzej, 2017. "Advantages of variable driving temperature in solar absorption chiller," Renewable Energy, Elsevier, vol. 114(PB), pages 716-724.
    7. Evins, Ralph, 2013. "A review of computational optimisation methods applied to sustainable building design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 230-245.
    8. 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.
    9. 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.
    10. Lu, Yuehong & Wang, Shengwei & Yan, Chengchu & Huang, Zhijia, 2017. "Robust optimal design of renewable energy system in nearly/net zero energy buildings under uncertainties," Applied Energy, Elsevier, vol. 187(C), pages 62-71.
    11. Harkouss, Fatima & Fardoun, Farouk & Biwole, Pascal Henry, 2018. "Passive design optimization of low energy buildings in different climates," Energy, Elsevier, vol. 165(PA), pages 591-613.
    12. Cao, Sunliang & Hasan, Ala & Sirén, Kai, 2014. "Matching analysis for on-site hybrid renewable energy systems of office buildings with extended indices," Applied Energy, Elsevier, vol. 113(C), pages 230-247.
    13. 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.
    14. Sharafi, Masoud & ElMekkawy, Tarek Y. & Bibeau, Eric L., 2015. "Optimal design of hybrid renewable energy systems in buildings with low to high renewable energy ratio," Renewable Energy, Elsevier, vol. 83(C), pages 1026-1042.
    15. Wu, Wei & Skye, Harrison M. & Domanski, Piotr A., 2018. "Selecting HVAC systems to achieve comfortable and cost-effective residential net-zero energy buildings," Applied Energy, Elsevier, vol. 212(C), pages 577-591.
    16. 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.
    17. 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.
    18. Deng, S. & Wang, R.Z. & Dai, Y.J., 2014. "How to evaluate performance of net zero energy building – A literature research," Energy, Elsevier, vol. 71(C), pages 1-16.
    19. Corrente, Salvatore & Figueira, José Rui & Greco, Salvatore & Słowiński, Roman, 2017. "A robust ranking method extending ELECTRE III to hierarchy of interacting criteria, imprecise weights and stochastic analysis," Omega, Elsevier, vol. 73(C), pages 1-17.
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