Advanced Controls and Communications for Demand Response andEnergy Efficiency in Commercial Buildings
Commercial buildings account for a large portion of summer peak demand. Research results show that there is significant potential to reduce peak demand in commercial buildings through advanced control technologies and strategies. However, a better understanding of commercial building's contribution to peak demand and the use of energy management and control systems is required to develop this demand response resource to its full potential. This paper discusses recent research results and new opportunities for advanced building control systems to provide demand response (DR) to improve electricity markets and reduce electric grid problems. The main focus of this paper is the role of new and existing control systems for HVAC and lighting in commercial buildings. A demand-side management framework from building operations perspective with three main features: daily energy efficiency, daily peak load management and event driven, dynamic demand response is presented. A general description of DR, its benefits, and nationwide potential in commercial buildings is outlined. Case studies involving energy management and control systems and DR savings opportunities are presented. The paper also describes results from three years of research in California to automate DR in buildings. Case study results and research on advanced buildings systems in New York are also presented.
- Research Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE. Assistant Secretary for Energy Efficiency andRenewable Energy. Office of the Deputy Assistant Secretary for TechnologyDevelopment. Office of the Building Technologies Program; CaliforniaEnergy Commission. Public Interest Energy Research Program. Work forOthers 150-99-003 Am 1, New York State Energy and Research DevelopmentAuthority
- DOE Contract Number:
- DE-AC02-05CH11231
- OSTI ID:
- 889248
- Report Number(s):
- LBNL-59337; R&D Project: 675901; TRN: US200623%%750
- Resource Relation:
- Conference: Second Carnegie Mellon Conference in ElectricPower Systems: Monitoring, Sensing, Software and Its Valuation for theChanging Electric Power Industry, Pittsburgh, PA, January 12,2006
- Country of Publication:
- United States
- Language:
- English
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