To improve the sustainable development of the industrial park, a more accurate cooling load estimation method was adopted to provide the basis for the selection of the size of the cold and heat sources. DeST simulation software was used to simulate the building energy consumption, and nine factory buildings' dynamic load analysis model were established. The distribution of hourly cooling load of the industrial park was obtained. Compared with the total load of traditional designed heating load method, this method achieved to saving energy 18%. In the energy planning of industrial park, the introduction of dynamic load forecasting method has advantages for the sustainable development of the park. It influences the reduction of energy consumption and save of initial investment. The research lays the foundation for the realization of the rationality, the scientific nature and the energy conservation and emission reduction of the construction.
Feng, G., Xu, F., & Tian, C. (2017). Prediction and Research on the Dynamic Load of A Certain Industrial Park in Shenyang. In Procedia Engineering (Vol. 205, pp. 680–685). Elsevier Ltd. https://doi.org/10.1016/j.proeng.2017.09.841