Improving the efficiency of renewable energy assets by optimizing the matching of supply and demand using a smart control algorithm
P.M. de Bekker (TU Delft - Electrical Engineering, Mathematics and Computer Science)
V. Robu – Mentor (TU Delft - Algorithmics)
S.A. Cremers – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)
J.E.A.P. Decouchant – Graduation committee member (TU Delft - Data-Intensive Systems)
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Abstract
Given the fundamental profit gained by renewable energy assets in climate control, existing control algorithms are urged to be improved to match power supply and demand optimally. This paper explores various designed cases that lead toward an enhanced definition of a control algorithm with optimized behaviour. The core of improvement is exploiting future knowledge, which can be realized by current state-of-the-art forecasting techniques, to effectively store and trade energy.
Based on several thousands of simulations of energy communities in the UK, the proposed smart control algorithm has demonstrated a robust performance and gained notable additional profit in theoretical and practical scenarios using probable data.