Economic Feasibility and Sensitivity Analysis on Integration of Solar PV and Electric Vehicles in Renewable Energy Community

Renewable Energy Communities (RECs) have emerged recently because of numerous advantages, as these are characterized by locally generated electricity from renewable energy sources (RESs) controlled by individuals, enterprises, and public administrations. This article focuses on the development of a mathematical model to investigate the time-dependent behavior of RECs with an overview of the technical, economic, and environmental scenario. The economic viability and overall profitability of incorporating electric vehicles (EVs) into a photovoltaic (PV)-based REC that consists of consumers and prosumers are assessed in this study. Key economic parameters, for instance Net Present Value (NPV), Levelized cost of energy (LCOE), and payback period (PP), are included in the mathematical model, and, additionally, CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emission analysis has been considered. A sensitivity analysis of the REC has been carried out to focus on the impact of various parameters considered in our configuration. Moreover, the saving of CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emissions and economic benefits have been evaluated. The mathematical and numerical model could represent a useful tool for policymakers, the Government, stakeholders, and participants to analyze the advantages of building a REC.

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Publication Details

Published
2025-05-20
DOI
https://doi.org/10.1109/cpe-powereng63314.2025.11027233
Citations
2
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
1.46
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article

Economic Feasibility and Sensitivity Analysis on Integration of Solar PV and Electric Vehicles in Renewable Energy Community

Sikandar Abdul Qadir, Shoaib Ahmed Shaikh, Antonio D’Angola, Amjad Ali
2 citations
Electric Vehicles and Infrastructure
1.46
article

Economic Feasibility and Sensitivity Analysis on Integration of Solar PV and Electric Vehicles in Renewable Energy Community

Sikandar Abdul Qadir, Shoaib Ahmed Shaikh, Antonio D’Angola, Amjad Ali
article en
2 citations

Abstract

Renewable Energy Communities (RECs) have emerged recently because of numerous advantages, as these are characterized by locally generated electricity from renewable energy sources (RESs) controlled by individuals, enterprises, and public administrations. This article focuses on the development of a mathematical model to investigate the time-dependent behavior of RECs with an overview of the technical, economic, and environmental scenario. The economic viability and overall profitability of incorporating electric vehicles (EVs) into a photovoltaic (PV)-based REC that consists of consumers and prosumers are assessed in this study. Key economic parameters, for instance Net Present Value (NPV), Levelized cost of energy (LCOE), and payback period (PP), are included in the mathematical model, and, additionally, CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emission analysis has been considered. A sensitivity analysis of the REC has been carried out to focus on the impact of various parameters considered in our configuration. Moreover, the saving of CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emissions and economic benefits have been evaluated. The mathematical and numerical model could represent a useful tool for policymakers, the Government, stakeholders, and participants to analyze the advantages of building a REC.

University of Salerno (IT), King Fahd University of Petroleum and Minerals (SA), University of Basilicata (IT)
Affordable and clean energy
Openalex Percentile: Top 17%
Electric Vehicles and Infrastructure
1.46
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Economic Feasibility and Sensitivity Analysis on Integration of Solar PV and Electric Vehicles in Renewable Energy Community — Sikandar Abdul Qadir, Shoaib Ahmed Shaikh, et al. · (2025) | TGRS Research Map | TGRS