Energy Storage with Batteries : An investigative dissertation regarding the optimization of energy storage for selected customers

Sammanfattning: The growing use of electricity, an increase in renewable energy sources, and increasingly decentralized electricity production are all different factors that put pressure on today’s obsolete electricity networks. Power and capacity shortages have become an increasing problem in Sweden’s electricity grid, especially in large cities, which hinders societal developments and places new demands on the electricity grid. Political developments and uneven electricity consumption and production powerfully drives up prices and risk putting actors out of the electricity market. To solve these problems and secure the supply of electricity in the future, this thesis investigates the economic significance of energy storage with the help of batteries through so-called peak-shaving for an individual business. The work addresses the surrounding factors of today and the future to reason about the degree of relevance of the solution today and tomorrow. The starting point for the work has been a case given by WSP Sweden. The case contained the energy consumption for one month for a medium-sized industrial company located in the electricity sector 4. By calculating an average electricity price for each hour in the last month of 2020, it is easy to follow the electricity price trend that often follows a similar pattern every day. The electricity price can take advantage of the trend by charging the battery during hours when the electricity price is low and discharging the battery during hours when the electricity price is high. The method is called peak-shaving and is a method for reducing electricity costs and optimizing electricity use. The python algorithm used for peak-shaving in December 2020 for the specific company provided by WSP Sweden resulted in a reduced electricity consumption cost of about 7 % or a reduced cost of about 90,000 öre (= SEK 900) for December.