Energy Management Strategies for Dwellings with Photovoltaic Production
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Abstract
Homes and offices are key elements in the sustainable urban development because they consume a large part of the electricity production in European countries. Because of the increasing part of renewable energy in electricity production, which is difficult to control, consumers will have to become more involved in the grid management by not only reducing but also by adjusting their consumption in order to reach equilibrium between production and consumption on the grid, on one hand, and to limit the use of production means with high emission of CO2 on the other hand. In this paper we present a decision system that provides an active demand side management solution. This decision system is based on the weather forecasts and a variable cost of electricity. This paper states the problem of energy management in buildings and describes the optimization problem defined to adjust the energy consumption of buildings to local production constraints.
Keywords
Optimization, Energy management, MILP, Home Energy Scheduling Problem
Article Details
References
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[3] Castro, Pedro M., and Ignacio E. Grossmann. "An efficient MILP model for the short-term scheduling of single stage batch plants." Computers & Chemical engineering 30.6 (2006): 1003-1018.
[4] Ha, Duy Long, et al. "A home automation system to improve household energy control." IFAC Proceedings Volumes 39.3 (2006): 15-20.
[5] Ha, Duy Long, et al. "An optimal approach for electrical management problem in dwellings." Energy and Buildings 45 (2012): 1-14.
[6] IEA. Energy Technology Perspectives: Scenarios and strategies to 2050. IEA Publications, 2006.
[7] Koné, Oumar, et al. "Event-based MILP models for resource-constrained project scheduling problems.' Computers&Operations Research 38.1 (2011):3-13.
[8] Lopez, Pierre, and Patrick Esquirol. "Consistency enforcing in scheduling: A general formulation based on energetic reasoning." 5th International Workshop on Project Management and Scheduling (PMS'96). 1996.
[9] Mingozzi, Aristide, et al. "An exact algorithm for the resource-constrained project scheduling problem based on a new mathematical formulation." Management science 44.5 (1998): 714-729.
[10] Pinto, Jose M., and Ignacio E. Grossmann. "Assignment and sequencing models for the scheduling of process systems." Annals of Operations Research 81 (1998): 433-466.