Optimal Battery Sizing and Control in a Stacked Revenue Model Incorporating a Renewable Energy Community
T.O. Pocola (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Valentin Robu – Mentor (TU Delft - Algorithmics)
J.A.C. Rietveld – Mentor (GIGA Storage)
Neil Yorke-Smith – Graduation committee member (TU Delft - Algorithmics)
Simon H. Tindemans – Graduation committee member (TU Delft - Intelligent Electrical Power Grids)
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Abstract
The transition to renewable energy sources requires advanced energy storage solutions to manage their intermittent nature. This thesis explores the feasibility of implementing Battery as a Service (BaaS) for a renewable energy community (RECs) setting, aiming to incorporate this model as part of an existing stacked revenue framework utilized by battery owners across various energy markets. By directly linking battery owners with energy communities, the study shows that renting out battery storage can eliminate intermediary overheads, thus providing financial benefits to both parties. The research addresses two main questions: developing a stacked revenue model for grid-connected batteries including energy communities, and comparing different battery sizing and control methods across various tariff schemes. The findings suggest that the proposed revenue model optimizes energy use and reduces costs for the community. This thesis contributes to the research field by presenting a viable economic model for integrating battery storage into decentralized energy communities.