| With the increasing use of renewable energy in rural dwellings,the energy structure of rural dwellings has gradually become diversified to“energy hub”.Compared with regional buildings and public buildings,the load of dwellings is smaller and the fluctuation is larger,so the problem of energy dynamic imbalance in the design process is more serious.This study aims to provide a“home energy hub”system with good matching performance for dwelling in southern Anhui province based on the methods of literature research,field research,data measurement and numerical simulation.The main content of this paper is to analyze the indoor thermal environment of the southern Anhui dwelling based on the passive design technology of Huizhou traditional dwellings and the needs of modern people’s lives.Then,the“home energy hub（HEH）”model of the southern Anhui dwelling is established,and its configuration and energy dynamic balance optimization are carried out.Firstly,it is analyzed the utilization potential of renewable energy resources in southern Anhui and found that both wind and solar energy resources in southern Anhui have broad development prospects.In addition,the actual operations of the photovoltaic power generation project and the wind power generation project in this area are analyzed.It is found that the project runs steadily and the power generation effect is good,which further illustrates the feasibility of utilizing solar energy and wind energy in southern Anhui.Secondly,it is carried out the thermal environment simulation of the southern Anhui dwelling based on inheriting the passive technologies of Huizhou traditional dwelling and improving the functional space and architectural layout and found that the energy consumption of the southern Anhui dwelling meets the requirements of low energy consumption,and it has obvious advantages in indoor environment construction.Furthermore,the HEH system of dwelling in southern Anhui is established,which combines passive technologies of traditional dwellings with renewable energy.After that the energy matching performance of the system is analyzed by using energy dynamic matching evaluation index?loa d/?supply.It’s concluded that although the HEH system of the southern Anhui dwelling has a good energy matching throughout the year,meeting the needs of users with a high utilization rate of renewable energy productivity.However,the energy distribution is unbalanced and the energy utilization rate is low on a monthly and hourly,which indicates the the energy dynamic matching performance of the system is poor.In order to optimize the energy dynamic matching performance of the system,the unified objective method is used to construct the objective function of?lo adand?sup ply using the capacities of the system equipments as the optimization variables.Hooke-Jeeves and PSO algorithms are used to optimize the performance of the photothermal system and the wind-solar complementary power generation system respectively,the result shows the optimization effect of the system is better than before.After the optimization of the photothermal system,the satisfaction rate of hourly building heat consumption increases,while the utilization rate of heat production is still at a high value;After the optimization of wind-solar complementary power generation system,satisfaction rate of the building electricity consumption increases,while the utilization rate of renewable energy power generation decreases slightly.Specifically,the energy dynamic matching performance of the optimized system is improved by 10%and 15%respectively.Finally,a sensitivity analysis of the robustness of energy matching performance of the system is conducted due to the deviation of the climate conditions and building loads from the design conditions.The result shows that the robustness of energy matching performance is the most sensitive to building load when the HEH system of the southern Anhui dwelling is running.In order to maintain the energy matching performance of the system,designers should predict building load on demand side with high accuracy. |
