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Optimizing commercial building participation in energy and ancillary service markets
Highlights Model-based estimation of building frequency regulation potential is proposed. Building energy and frequency regulation services were co-optimized. Optimization increased regulating potential by avoiding operational constraints. Optimization identified appropriate hours to provide frequency regulation.
Abstract Providing ancillary services through flexible load response has the potential to increase electric grid reliability and efficiency while offering loads a revenue generating opportunity. The large power draw of commercial buildings, along with thermal mass characteristics, has sparked interest in providing ancillary services through intelligent operation of building mechanical systems. As a precursor to participating in ancillary service markets, the quantity of service available must be estimated. This work presents a model-based approach for estimating commercial building frequency regulation capability. A model predictive control framework is proposed to determine optimal operating strategies in consideration of energy use, energy expense, peak demand, economic demand response revenue, and frequency regulation revenue. The methodology is demonstrated through simulation for medium office and large office building applications, highlighting its ability to merge revenue generating opportunities with traditional demand and cost reducing objectives.
Optimizing commercial building participation in energy and ancillary service markets
Highlights Model-based estimation of building frequency regulation potential is proposed. Building energy and frequency regulation services were co-optimized. Optimization increased regulating potential by avoiding operational constraints. Optimization identified appropriate hours to provide frequency regulation.
Abstract Providing ancillary services through flexible load response has the potential to increase electric grid reliability and efficiency while offering loads a revenue generating opportunity. The large power draw of commercial buildings, along with thermal mass characteristics, has sparked interest in providing ancillary services through intelligent operation of building mechanical systems. As a precursor to participating in ancillary service markets, the quantity of service available must be estimated. This work presents a model-based approach for estimating commercial building frequency regulation capability. A model predictive control framework is proposed to determine optimal operating strategies in consideration of energy use, energy expense, peak demand, economic demand response revenue, and frequency regulation revenue. The methodology is demonstrated through simulation for medium office and large office building applications, highlighting its ability to merge revenue generating opportunities with traditional demand and cost reducing objectives.
Optimizing commercial building participation in energy and ancillary service markets
Pavlak, Gregory S. (Autor:in) / Henze, Gregor P. (Autor:in) / Cushing, Vincent J. (Autor:in)
Energy and Buildings ; 81 ; 115-126
21.05.2014
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Optimizing commercial building participation in energy and ancillary service markets
Online Contents | 2014
|New Commercial Office Building Markets: Strategies for Improving Building Energy Efficiency
British Library Conference Proceedings | 2002
|