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.
Published February 2018 , 37 pages