An improved optimization adjustment strategy for building heating ventilation and air conditioning (Heating Ventilation and Air Conditioning, HVAC) is proposed. The energy consumption model of building heating/refrigeration is established by using the instantaneous energy balance of heat, and then the optimal operation strategy of building HVAC energy based on weather forecast data is constructed in the range of user temperature comfort. Finally, the MATLAB and TRNSYS simulation techniques are used to verify the example. Simulation results show that the optimal operation strategy of building HVAC energy based on weather forecast data can not only significantly reduce the cost of energy use, but also effectively improve the absorption capacity of renewable energy on the building side.

The comprehensive utilization of multi-energy is an important means to promote the high proportion of clean energy consumption in the region. This paper proposes a clean energy absorption mechanism based on electric heating to participate in multi-energy trading, which is applied to the transaction and operation optimization of energy terminals. In this paper, the scheduling framework of energy terminal is constructed first, and then the optimal scheduling model of energy terminal based on electric heating participating in multi-energy trading is established to promote clean energy consumption through collaborative optimization of multi-energy coupling equipment. The economic dispatch of energy terminal to all kinds of energy is realized. Finally, a test example is constructed to verify the operation economy and clean energy absorption rate of the energy terminal. The simulation shows that the proposed method can not only improve the clean energy absorption rate of the energy terminal, but also improve the operation economy of the system, and verify the effectiveness of the proposed method.