Optimizing Peak Load Management in Dutch Residential Neighborhoods Using Short-term Energy Storage Solutions: a Case Study in The Netherlands

Abstract: Heating and cooling account for 50% of the EU’s energy consumption, with over 70% sourced from fossil fuels. Decarbonizing residential heating by electrifying systems presents challenges such as increased demand and grid instability. Energy storage systems (ESSs) offer a solution, but tools for selecting optimal ESSs at the neighborhood scale are lacking. This paper introduces a decision-support method that evaluates ESSs using dynamic neighborhood-level energy demand simulation. A case study in Eindhoven, Netherlands, demonstrates how this approach helps stakeholders make informed decisions, enhancing grid stability and promoting effective energy storage integration for residential decarbonization.