Optimization of zero-energy building by multi-criteria optimization method: A case study

Many subjects and objects are included into the zero-energy building investigation while the conventional optimal approach is suffering from its limitations. The boundary of energy balance and physic of zero-energy buildings in various regions highlighted with various architectural attributions require to be more investigated and assured. As reported by the statistics, it needs further integrating materials and installing costs in zeroenergy buildings. In this paper, due to the increasing energy consumption in buildings, a new global multiplecriteria optimization model for zero-energy buildings, combining this model with the comprehensive assessment approach is conducted. The optimization design approaches for renewable energy structures included here are the multiple-criteria optimization by Enhanced Red Fox Optimization Algorithm on the initial design as concerns energy optimum models and costs, and the integration of Grey Multiple-Level Complete Assessment approach is employed to optimum model, which are the energy-conserving, solar energy application effectiveness, social and economic aspects. The optimum solution is proposed based on the chosen decision according to the global optimum model. This solution can help the engineer to design practical constructions. Finally, a multiple-objective optimal model for a case study placed in Beijing, China, is proposed to achieve an optimum design effect. Based on the study, efficient decisions can be made by designers with utilization of the proposed method. This design can easily be used in the considered real applications.

Automated summary

The paper discusses the challenges and limitations in zero-energy building investigation and proposes a global multiple-criteria optimization model combined with a comprehensive assessment approach for more efficient design outcomes.