System Integration And Performance Optimization For Intelligent Zero Energy Buildings

Modern buildings have developed into a sophisticated complex with numerous combinations,however the traditional research methods of architectural design and operation apply the divide-and-rule solution generally,which is easily lead to the Buckets Effect.The development of System Science,and the improvement of Statistics and Computer Science is the foundation which building research diverts to focus on systematicity and coordination of building.Therefore,this dissertation,limiting the discipline of Building Science as the research field,selecting Zero Energy Building(ZEB)as the research object,applying Artificial Intelligence to improve the total performance of ZEB as the overall springboard,studying the interaction mechanism of building energy consumption and indoor environment quality,as well as the combination of active and passive building technologies as the main research direction,realizing the high performance operational ZEB as the research objective proceeds as follow.The theory Section: General Theory of System Building Science which is combining the System Science and Building Science.Meanwhile,this section highlights the relevant theory of the system integration which including building construction,envelop,indoor,equipment subsystem,and the performance of building space,indoor thermal environment,indoor visual environment,indoor acoustic environment,building integrality,and its optimization.The method section: system integration and performance optimization for the intelligent zero energy building system(i ZEBS).Firstly,based on the field research,as well as the comprehensive analysis of ZEB and building intelligent technology,the conceptual model of i ZEBS has been proposed.Secondly,after the analysis of building energy system and indoor environment system which are two subsystem of i ZEBS,based on Multi-agent system technology,the system architecture of i ZEBS has been presented which is applying hybrid structure formation and hierarchical management technology.Thirdly,By selecting the indoor environment temperature,relative humidity,illumination and carbon dioxide concentration as the optimization variables,building the indoor integrated environmental quality function based on TOPSIS method and Liner Weighted Sum method,as well as the building energy consumption function based on building performance simulation and statistical analysis method as the optimization objectives,and achieving the energy balance and meeting the indoor environment comfort and health standards as the constraints,i ZEBS multi-objective optimization model has been established.The case study section: based on the ZEB experimental platform of Tianjin University,the objective function of building energy consumption is obtained by appling Design Builder simulation and SPSS analysis.The multi-objective particle swarm optimization program is programmed by Matlab,and the Pareto optimal solutions are obtained,which verifies the feasibility and availability of the optimization method.Besides,based on the optimization results,the indoor environment dynamic management and real-time control strategy for the case building has been proposed,and a user graphical interface has been developedThis research innovatively proposes the general theory of system building science and redefines ZEB;presents a set of method for ZEB system integration and performance optimization based on the multi-agent system and multi-objective optimization technology;conducts a case study and suggests the indoor environment dynamic management and real-time control strategy for the case building,which could provide the significant theoretic basis and key technical support for the all-round development of Architecture discipline and high performance ZEB.