| Develop energy-saving scheme is not only an important means to control the energy consumption of the building,which is also the main content of green building assessment.For developers,selection and implementation of energy-saving scheme will directly affect the economic benefits.Therefore,research on how to balance the effect of energy saving programs,evaluation scores and economic benefits is very necessary.The past academic research,scholars have established programs focus on green building assessment is feasible or not,but ignored three goals combination of the energy saving effect and economic benefit,the evaluation scores to select the best project of dynamic process.Therefore,this paper aims to solve the following problems:Firstly,analysis the economics of the energy conservation project in the whole life cycle.Based on the researches of life cycle stages division of the green building,to analysis the incremental cost effectiveness of each stage of green building,find out the evolution stage of the incremental costs and incremental benefit.Then,established the economic evaluation model of energy saving project based on the analysis and calculation of incremental cost effectiveness.Secondly,proposed the multi-optimization model of the energy saving projects,which based on a series of constraints and regard the incremental cost and incremental benefit as the objective function which based on the economic evaluation model of energy-saving project.The genetic algorithm is more effective to solve combinatorial optimization problems compared with the orthogonal test method.Therefore,how to use the genetic algorithm to solve the problem is the key part of the part.This paper puts forward the optimal solution of the evaluation index of“efficiency of energy-saving design",which means energy efficiency per unit of incremental costs,which help to determine the final implementation case.Thirdly,in order to verify the reliability of the model,taking an office building in Chuzhou as the research object for case analysis.First of all,the benchmark scheme and design scheme were separately set of the office building,and through DeST simulation and estimation of energy consumption quota,get the energy saving and incremental cost generated by each design scheme compared with the reference scheme.Then,energy optimization model was solved using genetic algorithm based on the obtained data of energy saving and incremental cost,and the obtained optimal solution which can be implemented is selected from Pareto optimal solution domain by"efficiency of energy-saving design".The case results showed that:(1)the model can provide the optimal combinations of energy saving technology for decision makers,to avoid the pile of simple technology,ensure the energy saving and economy;(2)there are a variety of energy-saving technology combination,the energy saving effect and economic effect is roughly the same as for decision makers to choose according to their own conditions;(3)incremental effect and cost are linear noncorrelation;(4)Outer wall is the main source of incremental cost(about 21%～45%),air conditioning system is the main source of incremental benefits(about 35%～45%),the lighting system does not only result in a substantial increase in the incremental cost(12%～47%),but also result in a more substantial incremental benefit(32%～39%);(5)The benchmark rate of return will directly affect the optimization results of such schemes. |
