Operation of Controllable Load in a Smart House with Precise HP Temperature Distribution Model

In recent years, the introduction of renewable energies has increased significantly due to the global warming, fossil fuel depletion, and Feed-in Tariff. On the consumer side, there is a need to reduce energy consumption and carbon dioxide emissions, and as a countermeasure, smart houses with Photovoltaic, Solar Collector, Heat Pump, etc., have been proposed. However, in the previous studies, the water in the tank is mixed, making it difficult to accurately predict the heat load. Therefore, in this paper, we adopt a model that assumes the temperature distribution in the Heat Pump tank using a simple formula and performs water heating and water boiling based on the temperature distribution. In addition, we determine the optimal operation method of controllable load and compare electricity rates and carbon dioxide emissions.