Multi-objective decision-making and optimal sizing of a hybrid renewable energy system to meet the dynamic energy demands of a wastewater treatment plant

Hai Tra Nguyen, Usman Safder, X.Q. Nhu Nguyen and ChangKyoo Yoo

Energy, 2020, vol. 191, issue C

Abstract: Renewable energy resources have become important to strategies for meeting industrial demands for power due to their various benefits when coupled with government incentives and public support. To obtain a reasonable compromise between capital investment costs and system reliability, a method of determining the optimal size of hybrid renewable energy system (HRES) components is needed. This study proposes a smart management approach to optimal sizing and power management of hybrid photovoltaic-wind turbine generation with hydrogen and battery storage, considering contemporary economics, system reliability, and environmental policies to meet the dynamic energy demands of a wastewater treatment plant (WWTP). A multi-objective approach based on a fuzzy–decision-making method is proposed to solve the optimization problem. Extended power-pinch analysis was applied to optimize the size of components and determine feasible electrical-storage capacity to tackle the dynamic power loads of the WWTP. A year of observations showed that an HRES has a high reliability level for energy loading up to 86% when supplying a dynamic demand, with acceptable environmental emissions and an economical budget.

Keywords: Dynamic energy demand; Hybrid PVs/WTs system; Optimal sizing; Multi-objective decision-making; Reliability analysis (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (26)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:191:y:2020:i:c:s0360544219322650

DOI: 10.1016/j.energy.2019.116570

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