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Abstract
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This 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.
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