Study On Energy System Optimization Of Tourism Resorts In Hot Summer And Cold Winter Areas

With the improvement of society,people pay more attention to the leisure life.As a new type of entertainment industry,tourist resorts have developed rapidly.At present,China has become the world’s largest tourist country.Due to its complex fuctions,the resort is usually far away from the city,without the scope of municipal heating.Therefore,its energy system is different from the conventional central heating system,which requires the combination of local available energy,and can not affect the environment.Because of its environment benefits,the district heat pump cooling(heating)system is suitable for tourist resort.In order to save energy,a tourist resort in Changsha is selected as the object,and the corresponding load prediction is carried out.Moreover,the corresponding heat pump units are selected according to load prediction results,and then optimized by dynamic load distribution strategy.The main contents of this paper are as follows:(1)The method of combination of scenario analysis and software simulation is used to predict the load of tourist resorts in the planning stage;moreover,the regional area load index is proposed in this paper,which provides basis and reference for the load prediction of resorts in the future;based on the load results,the simultaneous use coefficient of different types of buildings suitable for the resort is obtained.(2)Determine the energy system form of the resort,and the appropriate heat pump form is selected;with MATLAB,the dynamic load distribution strategy is used to complete the combination optimization of the heat pump in the energy system of the building district,bringing the lowest operation energy consumption of the heat pump system.(3)A comprehensive analysis of the district heat pump cooling(heating)system is carried out.The heat pump system is analyzed from four aspects of performance,energy,economy and environment respectively.The results show that:(1)The load prediction method adopted in this paper is simple and effective,which greatly improves the accuracy of the load results.The regional area load index and simultaneous use coefficient based obtained in this paper provide a reference forfuture load calculation;(2)The energy consumption of the heat pump system is greatly reduced by using the dynamic load distribution strategy,which can save up to 396033 k Wh(about 6.2%)under the refrigeration condition and 11587 k Wh(about 0.8%)under the heating condition;(3)After optimization,the performance of each unit in the heat pump system has not changed greatly,and it is always kept in a high operating state.In addition,after optimization,the system saved a lot of energy and operation cost.Furthermore,it is more benefit to the environment.