Abstract

This study proposes a hybrid renewable energy system consisting of photovoltaic panels and a wind turbine to supply the total or part of the demand of a grid-connected residential building and presents the optimal system size using a genetic algorithm. Wind speed, solar irradiance, and electricity demand are monitored in 15 min intervals over a year. It is found that the optimal values for PV panels’ area, rated power of the wind turbine, and the tower height are 148.5 m2, 1.5 kW, and 20 m, respectively. These optimal values lead to a total system cost of EUR 42,218 over 20 years.

Highlights

  • IntroductionA considerable part of the total energy in the world is consumed in the residential sector

  • Optimization of a Grid-ConnectedA considerable part of the total energy in the world is consumed in the residential sector

  • About 94.4% of the total energy is generated by PVs and 5.6% of that is by wind turbine (WT)

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Summary

Introduction

A considerable part of the total energy in the world is consumed in the residential sector. Households represented 26% of final energy consumption in Europe in 2019, most of which was supplied from fossil fuels [1]. Utilizing renewable energy such as wind, solar energy, and their hybridization instead of fossil fuels is a good option to supply electricity to buildings in urban and remote areas, which can operate in both grid-connected and standalone modes [2]. By finding the optimum size of a hybrid system consisting of a wind turbine (WT) and photovoltaic (PV) panels using a genetic algorithm (GA), the demand of a grid-connected building is provided. Ekren et al [4]

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