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Mixed-integer NMPC for real-time supervisory energy management control in residential buildings

  • In recent years, building energy supply and distribution systems have become more complex, with an increasing number of energy generators, stores, flows, and possible combinations of operating modes. This poses challenges for supervisory control, especially when balancing the conflicting goals of maximizing comfort while minimizing costs and emissions to contribute to global climate protection objectives. Mixed-integer nonlinear model predictive control is a promising approach for intelligent real-time control that is able to properly address the specific characteristics and restrictions of building energy systems. We present a strategy that utilizes a decomposition approach, combining partial outer convexification with the Switch-Cost Aware Rounding procedure to handle switching behavior and operating time constraints of building components in real-time. The efficacy is demonstrated through practical applications in a single-family home with a combined heat and power unit and in a multi-family apartment complex with 18 residential units. Simulation studies show high correspondence to globally optimal solutions with significant cost savings potential of around 19%.

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Author:Dimitri BitnerORCiD, Artyom BurdaORCiD, Martin GrotjahnORCiDGND, Christian Kirches, Axel Schild, Bennett Luck
DOI original:https://doi.org/10.1002/pamm.202300219
Parent Title (English):Proceedings in Applied Mathematics and Mechanics
Document Type:Article
Year of Completion:2023
Publishing Institution:Hochschule Hannover
Release Date:2023/11/07
Tag:nonlinear model predictive control
GND Keyword:Energieversorgung; Gebäude; Steuerung
Article Number:e202300219
Page Number:10
Link to catalogue:1887329188
Institutes:Fakultät II - Maschinenbau und Bioverfahrenstechnik
DDC classes:620 Ingenieurwissenschaften und Maschinenbau
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International