Development of Optimal Indoor Environment Design System Based on CFD Analysis

在这项研究中，我们的目的是建立一个集成的热和空气质量设计系统，使用逆变换方法的室内（和室外）热和空气质量分析模拟的基础上CFD（计算机流体动力学）。为此，我们开发了程序，更具体地说，使用反问题分析开发了一个自动优化环境设计系统，寻求最接近室内设计目标值的物理边界条件（和室外）环境条件和行为。采取了以下具体步骤：1.设计行为的建模：通过确定环境设计中设计目标的层次结构，2.利用CFD技术建立室内热环境与空气品质综合分析系统：利用CFD技术对室内对流、辐射、湿度进行耦合分析，并对室内热环境与空气品质的关系进行了研究，建立了室内热环境与空气品质综合分析系统 ...更多信息 在室内温度、速度、辐射和湿度不均匀的场所，对交通运输进行定量评估，以定量评估各控制因素对室内环境的贡献。3.优化评估系统的开发：开发了室内环境优化设计的定量评估程序。它表现出多用途的决策逻辑选择的首选解决方案的多用途的优化问题，从一组Pareto解决方案。4.优化设计的程序开发：我们引入遗传算法（GA）来分析反问题有效。在CFD反分析中，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，有利于有效的反分析。我们还开发了阶段2型优化设计程序，以减少使用GA优化查询的计算量。5.优化设计系统原型的建立将上述1 - 4中开发的优化设计系统应用于室内外热环境优化设计，并对其有效性进行了研究。6.优化设计系统的完成。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