Simulation and Analysis of Solar-Assisted Air Source Heat Pump Heating System in Remote and Cold Regions

Abstract

In extremely cold and remote areas such as the west of the Inner Mongolia region, due to the vast land and sparse population, the coverage rate of heating pipes is low, resulting in high non-renewable energy consumption in building heating. To reduce the reliance on polluted energy and utilize sufficient solar energy resources, this study proposed a solar-assisted air source heat pump heating system (SASHP) and realized abundant heating supply for Taolai Airport Terminal in Ejina Banner. Indoor temperature during the heating season was simulated using the trnsys and the coldest month was selected for analyzing and evaluating the heating performance of the SASHP. Compared with a single air source heat pump heating system, the SASHP achieves a 45.81% reduction in energy consumption, and the system's energy efficiency ratio (SEER) increases from 4.14 to 7.85. In addition, the average indoor temperature is 1.02 °C higher than that of the traditional gas boiler heating system on the coldest day. Aiming to minimize the equivalent annual cost, Hooke–Jeeves algorithm is used to optimize key parameters of the SASHP and the solar fraction increased from 45.99% to 51.91%, the SEER improved from 7.85 to 8.74. The optimized system has significantly improved in terms of system performance, while also demonstrating good energy saving, environmental protection, and economic benefits, which can provide a reference for the optimization and application of similar projects.