Optimal Design Of Rural Residential Multi-energy Complementary System Under Carbon Emission Constraints

Energy saving and emission reduction of rural residential buildings is a key area and an important link for our country to achieve the goal of"carbon neutralization in 2060".Hengshui City is located in North China,with a large rural population base and four distinct seasons.In summer,the indoor temperature needs to be regulated by air-conditioning system,while in winter,it is necessary to ensure the indoor thermal environment by burning a large amount of fossil energy and using heating equipment such as electric heating furnace.Therefore,with the help of multi-energy complementary energy supply system,we need to provide stable and economic energy supply for Hengshui rural residential buildings,achieve building energy conservation and reduce building carbon emissions.The multi-energy complementary energy supply system can make comprehensive use of a variety of energy sources and convert them according to the set complementary energy relationship in order to achieve the best energy efficiency.However,the structure of the multi-energy complementary energy supply system is complex,involving a variety of energy and equipment,and the output power of the capacity equipment is also affected by the intermittence and instability of renewable energy.it is necessary to choose the appropriate optimization design method to get the best configuration scheme of the system.In this paper,the Mini-Max Copula multi-energy complementarity method is used to deal with the uncertainty of renewable energy.The specific content includes:(1)System identification.Determine the research area,investigate the types of renewable energy in local rural areas,and establish the system structure.(2)Predict building energy consumption.Energy Plus software is used to simulate the energy consumption of rural buildings.(3)Establish a multi-energy complementary system.Using interval linear programming,stochastic programming method based on Copula function,and minimum maximum regret value method,a multi-energy complementary optimization model for rural building energy supply in Hengshui is established with the objective function of minimizing system cost.(4)Solve the model.According to the constraints established by the system structure,the optimization model under multiple scenarios is calculated to obtain the optimal configuration scheme of the system.(5)Result analysis.Analyze and discuss the results based on the calculation results and the obtained optimal configuration scheme.Based on considering the level of system constraint violation,this paper sets different carbon emission ratios,and obtains power output plan configuration schemes for various equipment under various scenarios by solving the model.The following conclusions are obtained:1)Through research,it is determined that the renewable energy in the multi-energy complementary system is solar energy and biomass energy.The system structure includes photovoltaic modules,biomass boilers,and rural power grids.2)The simulation results show that the annual total energy consumption of this rural building is about 2.11×10~6 k W·h,with an annual air conditioning energy consumption of 0.67×10~6 k W·h,accounting for 31.7%of the total annual energy consumption,while the annual energy consumption of other electrical appliances is 1.44×10~6 k W·h,accounting for 68.3%of the total annual energy consumption.3)Using interval linear programming,stochastic programming based on Copula function,and minimum maximum regret value method,a multi-energy complementary optimization model for rural building energy supply in Hengshui was established with the objective function of minimizing system costs.By setting three constraint violation probability levels,15 energy supply scenarios were generated under five carbon emission levels.4)By solving the model,five optimal scenarios with the lowest constraint violation level and the lowest regret level were selected based on the system cost and regret level.They are S1(B1.H2),S4(B1.H2),S7(B5.H2),S10(B5.H2),and S13(B5.H2).The carbon emission levels are 17.5%,15%,12.5%,10%,and 7.5%,respectively.5)The analysis and comparison results show that with the increase in carbon emission reduction efforts,the proportion of photovoltaic module power generation increases,and the total cost of multi-energy complementary systems increases.Therefore,allocating an appropriate proportion of power generation to renewable energy can save costs while reducing carbon.The power output of photovoltaic modules and biomass boilers can affect the system cost and power generation structure,and the combined power generation of the two is beneficial to improving the stability of the system.The detailed monthly power generation plan configuration scheme is obtained through solution,which can provide a reference for system operation strategies.