Benefits Evaluation Of Building-scale And District-scale Cooling Heating And Power System

Times are improving,and energy is the foundation.With the gradual increase pressure of energy saving and emission reduction,distributed energy resource has received significant attention.Distributed energy resource,as a highly efficient and clean energy system,which can minimize environmental pollution,reduce greenhouse gas emissions,and adjust energy structure.On this background,building-scale cooling heating and power system as well as district-scale cooling heating and power system have been researched in the paper.Taking the optimization as the main line,economic,energy and environmental benefits of distributed energy resource system have been discussed in multi-angle.The research could provide theoretical support for the further development of distributed energy in China.Firstly,this paper applied the DeST to simulate and calculate four different types of buildings(residential buildings,office buildings,hotel,and market)dynamically combining the relevant data in Dalian,and analyzed the characteristics of the heating,cooling and electric load.Secondly,the optimal model of building-scale cooling heating and power system(BCHP)were established.The influence of the four operation strategies of "following the electric load","following the thermal load",”following a hybrid electric-thermal load",and "Full load mode"on the 3E benefits(energy,economy,environment)of distributed energy resource system was analyzed in residential building and office building.In addition,considering that the heating and cooling loads of different types of buildings have some degree of complementarity,the demand load of different types of buildings was coupled.In view of energy loads coupling of the above buildings,the hybrid functional architecture was optimized and the 3E benefits of distributed energy resource system was analyzed.The way to improve the economic benefit of the distributed energy resource system of residential buildings was given.This research shows that distributed energy system should not only focus on supplying energy to single functional buildings,but also find the hybrid functional buildings with complementary load under conditions permitting,in order to obtain better 3E benefits.Subsequently,the renewable energy system,energy storage system and district energy networks were added based on the structure of building-scale cooling heating and power system.The district-scale multi-energy complement systems have been established based on the maximum economic benefit in living and commercial zone.The configuration of the distributed energy resource system and the distribution of district energy networks were optimized,and the operation strategy and 3E benefits were also analyzed.Furthermore,this paper developed distributed energy system optimization model considering the incentive policies,which contains carbon emissions permit trading and power trading.The effects of incentive policies on system configuration,district energy network layout and 3E benefit were analyzed quantitatively.The results show that incentive policy could play a positive role in promoting energy conservation and emission reduction,optimization of regional energy structure and the utilization of renewable energy.In addition,the sensitivity analysis of changes in the demand load and energy price were researched.Finally,the method of distributed energy resource system optimization model was discussed under the uncertain conditions of the demand load and energy price.Based on the theory of robust optimization,the robust optimization model for distributed energy resource system under uncertain conditions was established.The optimum configuration of system and distribution of district energy network were optimized with different conservatism levels.Then,the system configuration and 3E benefits of distributed energy resource system based on uncertain condition and deterministic condition were compared.If the uncertainty factors in the system is neglected,it will present more optimistic economic benefits and increase the risk of decision-making of the project.