Group for Research in Decision Analysis


An optimization model for electricity usage in smart homes

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Smart homes have the potential to achieve optimal energy consumption with appropriate scheduling. It is expected that 35% of households in North America and 20% in Europe will be smart homes by 2020. However, current optimization models have limitations on the number of appliances considered and/or their reliability.
This paper presents a new appliance-oriented integrated linear optimization model that finds an optimal trade-off between cost and comfort. We consider the use of energy in equipment, appliances, and electric vehicles and take into account renewable local generation, batteries, and demand-response. We use selected models from the literature and analyze them in detail. Our model can be used to find an optimal consumption pattern and the corresponding trade-off between cost and comfort. We present computational results to validate the model and indicate how it overcomes the limitations of previous models.

, 37 pages