Modeling and optimization of a multi-carrier renewable energy system for zero-energy consumption buildings  

面向零能耗建筑的多种可再生能源系统建模与优化

作　　者：SOULEY AGBODJAN Yawovi LIU Zhi-qiang WANG Jia-qiang YUE Chang LUO Zheng-yi SOULEY AGBODJAN Yawovi;刘志强;王加强;岳畅;罗振意(School of Energy Science and Engineering,Central South University,Changsha 410083,China;College of Civil Engineering,Hunan University,Changsha 410082,China)

机构地区：[1]School of Energy Science and Engineering,Central South University,Changsha 410083,China [2]College of Civil Engineering,Hunan University,Changsha 410082,China

出　　处：《Journal of Central South University》2022年第7期2330-2345,共16页中南大学学报（英文版）

基　　金：Project(52108101)supported by the National Natural Science Foundation of China;Projects(2020GK4057,2021JJ40759)supported by the Hunan Provincial Science and Technology Department,China。

摘　　要：For the carbon-neutral,a multi-carrier renewable energy system(MRES),driven by the wind,solar and geothermal,was considered as an effective solution to mitigate CO2emissions and reduce energy usage in the building sector.A proper sizing method was essential for achieving the desired 100%renewable energy system of resources.This paper presented a bi-objective optimization formulation for sizing the MRES using a constrained genetic algorithm(GA)coupled with the loss of power supply probability(LPSP)method to achieve the minimal cost of the system and the reliability of the system to the load real time requirement.An optimization App has been developed in MATLAB environment to offer a user-friendly interface and output the optimized design parameters when given the load demand.A case study of a swimming pool building was used to demonstrate the process of the proposed design method.Compared to the conventional distributed energy system,the MRES is feasible with a lower annual total cost(ATC).Additionally,the ATC decreases as the power supply reliability of the renewable system decreases.There is a decrease of 24%of the annual total cost when the power supply probability is equal to 8%compared to the baseline case with 0%power supply probability.为了服务碳中和目标,由多种可再生能源组成的多能互补系统(MRES),例如风能、太阳能和地热驱,被认为是减少建筑领域二氧化碳排放和节能的有效解决方案。容量优化设计方法是实现系统100%可再生能源利用的必要手段。本文针对MRES的容量设计构建了一种双目标优化方法,以系统成本最低和系统供能实时可靠性为优化目标,利用带约束遗传算法(GA)结合供电可靠性(LPSP)方法作为寻优算法。基于MATLAB软件,开发了一个优化应用程序,给用户使用提供优化界面,在给定负载需求时可以输出优化的设计参数。以一个游泳池建筑为案例来展示所提出优化设计方法的流程。与传统的分布式能源系统相比,MRES的年度总成本(ATC)较低,且ATC随着可再生能源系统的供电可靠性的降低而降低。与LPSP法为0%的基线情况相比,当供电可靠性值等于8%时,年度总成本下降24%。

关 键 词：multi-carrier renewable energy system constrained genetic algorithm loss of power supply probability(LPSP)method zero-energy consumption building optimal device capacity 

分 类 号：TU83[建筑科学—供热、供燃气、通风及空调工程]