Affiliation:
1. School of Technology and Business Studies, Energy and Environmental Technology Dalarna University Borlänge Sweden
2. Department of Electrical Engineering Azarbaijan Shahid Madani University Tabriz Iran
3. Department of Product and Procurement KP Sverige AB Västerås Sweden
4. Department of the Built Environment Eindhoven University of Technology Eindhoven The Netherlands
Abstract
AbstractThis study aims to develop an optimization strategy for determining the optimal type and capacity of batteries in a building‐applied photovoltaic system, taking into account battery degradation, consumption profiles, and regional solar irradiation. Key performance indicators such as peak shaving, savings, net present value, self‐consumption, return on investment, and payback period are examined. The best trade‐off among these indicators is determined using the fuzzy decision‐making method. A study was conducted using real data from Kpenergy Company, focusing on a building with a 50 kW photovoltaic system located in Stockholm. Three cases were examined in MATLAB software, each categorized based on the type of contract between the utility (Vattenfall Company) and the subscriber. The results of these case studies highlight the effectiveness of the proposed optimization approach. Using the proposed approach, optimal batteries are determined, minimizing subscriber costs while maximizing profit.
Publisher
Institution of Engineering and Technology (IET)
Subject
Renewable Energy, Sustainability and the Environment
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