Development of Optimal Indoor Environment Design System Based on CFD Analysis

在这项研究中，我们的目标是建立一个基于CFD(计算机流体动力学)的室内(室外)热空气品质分析模拟的逆变换方法的综合热空气品质设计系统。具体步骤如下：1.设计行为建模：通过确定环境设计中设计目标的层次结构，确定设计过程中的层次结构，并在设计过程中建立反馈系统；2.利用计算流体力学建立室内热空气质量综合分析系统：利用计算流体力学耦合分析对流、辐射和MOI…的耦合分析在室内温度、速度、辐射和湿度不均匀的位置进行更多的Sture运输，以定量评估各个控制因素对室内环境的贡献。3.开发最优评估系统：我们开发了室内环境优化设计的量化评估程序。它展示了从一组Pareto解中选择多目标优化问题的优选解的多目标决策逻辑。4.优化设计程序的开发：我们引入了遗传算法(GA)来高效地分析反问题。在CFD的逆分析中，CFD结果被反馈到输入变化和重复计算中。将遗传算法引入到这一过程中，有助于高效地进行逆分析。我们还开发了阶段2类型的优化设计程序，以减少使用遗传算法的优化查询的计算量。并介绍了考虑设计变量概率变化的可靠性设计和稳健设计方法。5.建立了原型优化设计系统。将前文1至4中开发的优化设计系统应用于室内外热环境优化设计，并考察了其有效性。6.优化设计系统的完成。较少

In this research we aimed to build an integrated thermal and air quality design system that uses inverse transform methods for indoor (and outdoor) thermal and air quality analysis simulations based on CFD (Computer Fluid Dynamics). With this aim we developed procedures, and more specifically used inverse problem analysis to develop an automatic optimized environmental design system, seeking physical boundary conditions that best approximate design target values of indoor (and outdoor) environmental conditions and behavior.The following specific steps were undertaken ::1.Modeling of design behavior :We modeled the design behavior of designers by determining the hierarchical structure of design targets in the environmental design, determining the hierarchical structure of the design process, and building a feedback system into the design process.2.Using CFD to build an integrated indoor thermal and air quality analysis system :Using CFD coupled analysis of convection, radiation, and moi … More sture transportation in indoor locations of uneven temperature, velocity, radiation and humidity to quantitatively assess contributions to the indoor environment of each control factor.3.Development of an optimal assessment system :We developed a quantitative assessment procedure for optimized design of indoor environments. It exhibited multi-purpose decision-making logic for choosing the preferred solution to a multi-purpose optimization problem from a set of Pareto solutions.4.Development of procedures for optimized design :We introduced genetic algorithms (GA) to analyze inverse problems efficiently. In inverse analysis of CFD, CFD results are fed back into input changes and calculations repeated. Introducing GA into this process facilitates efficient inverse analysis. We also developed Stage 2 type optimized design procedures to reduce the calculation load in optimized inquiries that use GA. We also introduced dependability design and robust design procedures that take into account probability changes in design variables.5.Creation of a proto-type optimized design system.We applied the optimized design system developed in 1 to 4 above to indoor and outdoor thermal environment optimized design and investigated its effectiveness.6.Completion of the optimized design system. Less