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Optimal sizing of hybrid PV–Wind–Battery storage system for Net Zero Energy Buildings to reduce grid burden

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  • Niveditha, N.
  • Rajan Singaravel, M.M.

Abstract

Accessing reliable, clean and affordable energy can be achieved by hybridization of renewable energy sources (RES) such as solar and wind. Such a hybrid photovoltaic (PV) and wind system along with battery storage (BS) has been considered for this work to realize the concept of Net Zero Energy (NZE) for a group of buildings (NZEBs). Generally, optimal sizing of hybrid PV–Wind system for NZEBs are carried out to ensure the minimum Loss of Power Supply Probability (LPSP) and cost with NZE balance constraints. But, the energy transfer between the buildings and grid has not been considered which is a vital parameter in optimal sizing of renewable energy generators for NZEBs. In NZEBs, over sizing/under sizing of renewable energy generator leads to greater energy export/import between the building and grid, which eventually increases burden on the electrical grid. So, in this work, minimization of total energy transfer (TET) is considered as the third objective function along with LPSP and cost to minimize the grid burden. A Non-dominated Sorting Genetic Algorithm II (NSGA-II) has been utilized for optimization of three objective functions such as annualized cost of the system (ACS), LPSP and TET, which are conflicting and incomparable. Based on the proposed sizing technique, the size of hybrid PV–Wind generators and BS capacity are determined from the pareto front solutions. To exemplify the reduced grid burden by reducing the TET, the results of proposed three objective function sizing technique are compared with the results of two objective function (cost and LPSP) sizing technique and analyzed for two different conditions of LPSP. The results confirm that the reduced TET has been achieved through the proposed sizing technique.

Suggested Citation

  • Niveditha, N. & Rajan Singaravel, M.M., 2022. "Optimal sizing of hybrid PV–Wind–Battery storage system for Net Zero Energy Buildings to reduce grid burden," Applied Energy, Elsevier, vol. 324(C).
    • Handle: RePEc:eee:appene:v:324:y:2022:i:c:s0306261922010054
    DOI: 10.1016/j.apenergy.2022.119713
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    References listed on IDEAS

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    1. Ramli, Makbul A.M. & Bouchekara, H.R.E.H. & Alghamdi, Abdulsalam S., 2018. "Optimal sizing of PV/wind/diesel hybrid microgrid system using multi-objective self-adaptive differential evolution algorithm," Renewable Energy, Elsevier, vol. 121(C), pages 400-411.
    2. Ismail, M.S. & Moghavvemi, M. & Mahlia, T.M.I. & Muttaqi, K.M. & Moghavvemi, S., 2015. "Effective utilization of excess energy in standalone hybrid renewable energy systems for improving comfort ability and reducing cost of energy: A review and analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 726-734.
    3. Morshed, Mohammad Javad & Hmida, Jalel Ben & Fekih, Afef, 2018. "A probabilistic multi-objective approach for power flow optimization in hybrid wind-PV-PEV systems," Applied Energy, Elsevier, vol. 211(C), pages 1136-1149.
    4. Ghorbani, Narges & Kasaeian, Alibakhsh & Toopshekan, Ashkan & Bahrami, Leyli & Maghami, Amin, 2018. "Optimizing a hybrid wind-PV-battery system using GA-PSO and MOPSO for reducing cost and increasing reliability," Energy, Elsevier, vol. 154(C), pages 581-591.
    5. Ekren, Orhan & Ekren, Banu Y., 2010. "Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing," Applied Energy, Elsevier, vol. 87(2), pages 592-598, February.
    6. Sadeghi, Delnia & Hesami Naghshbandy, Ali & Bahramara, Salah, 2020. "Optimal sizing of hybrid renewable energy systems in presence of electric vehicles using multi-objective particle swarm optimization," Energy, Elsevier, vol. 209(C).
    7. Guarino, Francesco & Cassarà, Pietro & Longo, Sonia & Cellura, Maurizio & Ferro, Erina, 2015. "Load match optimisation of a residential building case study: A cross-entropy based electricity storage sizing algorithm," Applied Energy, Elsevier, vol. 154(C), pages 380-391.
    8. Numbi, B.P. & Malinga, S.J., 2017. "Optimal energy cost and economic analysis of a residential grid-interactive solar PV system- case of eThekwini municipality in South Africa," Applied Energy, Elsevier, vol. 186(P1), pages 28-45.
    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. Ogunjuyigbe, A.S.O. & Ayodele, T.R. & Akinola, O.A., 2016. "Optimal allocation and sizing of PV/Wind/Split-diesel/Battery hybrid energy system for minimizing life cycle cost, carbon emission and dump energy of remote residential building," Applied Energy, Elsevier, vol. 171(C), pages 153-171.
    11. Mayer, Martin János & Szilágyi, Artúr & Gróf, Gyula, 2020. "Environmental and economic multi-objective optimization of a household level hybrid renewable energy system by genetic algorithm," Applied Energy, Elsevier, vol. 269(C).
    12. Yang, Hongxing & Wei, Zhou & Chengzhi, Lou, 2009. "Optimal design and techno-economic analysis of a hybrid solar-wind power generation system," Applied Energy, Elsevier, vol. 86(2), pages 163-169, February.
    13. 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.
    14. 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.
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