Optimal control of demand flexibility under real-time pricing for heating systems in buildings: A real-life demonstration

Christian Finck, Rongling Li and Wim Zeiler

Applied Energy, 2020, vol. 263, issue C, No S0306261920301835

Abstract: The identification, quantification, and control of demand flexibility is the major challenge for future grid operations and requires innovative methods and new control strategies. Optimal control strategies such as economic model predictive control have gained attention in building energy management systems. The present experimental case study demonstrates the application of an economic model predictive controller under real-time pricing, including day-ahead prices and imbalance prices. For real-time prices in balancing and spot markets, we introduce a method that presents a flexibility service to provide demand flexibility for a notification time of 1hKeywords: Experiment; Energy flexibility; Economic model predictive control; Thermal energy storage; Heat pump; Flexibility service (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (23)

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DOI: 10.1016/j.apenergy.2020.114671

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