Simulation Study on Heating Stability of PV/T-GSHP Automatic Control Heating System Based on TRNSYS

Abstract

The PV/T-GSHP heating control system is proposed to address the energy consumption problem of building heating in northern China. By using TRNSYS to establish an automatic control model, the control of the heat pump start/stop, water supply temperature on the load side of the tank, and high temperature water return to the building can achieve the purpose of being energy saving, providing stable heating, and providing control of high temperature heating. The results show that the PV/T-GSHP control system has an annual fluctuation range of 0.01~0.17 kW in the heating period for a typical building heat supply and building heat load, and the system energy efficiency and energy consumption are increased by 14.5% and 33.91%, respectively, compared with the GSHP system, and the annual value of cost is reduced by 8.49% and 19.09% compared with the GSHP and traditional coal-fired boiler system, which shows that the PV/T-GSHP control system is more economical. It can be seen that the PV/T-GSHP control system has better heating stability, energy efficiency, and economy, and it provides theoretical significance for the current clean heating automatic control scheme in Chinese northern areas.

Operational Optimization of Regional Integrated Energy Systems with Heat Pumps and Hydrogen Renewable Energy under Integrated Demand Response

“…Frequent activation and deactivation of the system's equipment can have detrimental effects; it not only diminishes the equipment's lifespan but also escalates the likelihood of operational failures [30]. Consequently, it is imperative to enforce constraints on the starting and stopping of the equipment.…”

Optimal Neural Network PID Approach for Building Thermal Management

“…-Improving the building envelope, which involves improving the fixed and mobile building components to reduce energy losses [2]; it is one of the most popular methods used to reduce the energy needed to heat and cool buildings; -Integrating and using renewable energy technologies, such as solar thermal and photovoltaic panels, geothermal heat, wind energy, etc., that have contributed to reducing fossil energy consumption fuels and thereby reducing global carbon emissions [3]; -Improving equipment management by setting up systems and solutions for managing needs based on the flexibility of demand, smart buildings [4], intelligent sensors [5], and optimized control algorithms [6,7].…”