有了清楚地了解各种设计选项之间的权衡及其对环境性能的影响,您可以更轻松地在设计目标,约束和可能的设计选项之间浏览复杂的关系。现在,您可以充满信心地提出明智的建议。

优化模块可访问:

  • 多目标优化高级成本效益分析的工具。
  • 不确定性分析reports confidence levels in simulation outputs based on uncertainties in specific inputs.
  • 敏感性分析报告设计变量最好t/least impact on your key simulation results. Often carried out as a preliminary step, sensitivity analysis can be used to help identify any less important design variables so they can be removed from an optimisation analysis.

优化

示例应用程序

优化海报

  • 成本效益研究以找到在设计过程的任何阶段最能满足复杂设计标准的设计选项。
    例如,请参见:我们在都柏林Cibse-Ashrae研讨会上优化被动建筑设计的海报
  • 即使在早期设计阶段,也可以选择最具成本效益的照明,玻璃,构造,可再生和HVAC系统。
  • 确定最佳控制策略,从而为环境和舒适性能提供最佳组合,即使是复杂的HVAC,自然通风,混合模式系统类型。

主要特点

  • 测试超过120个不同的设计变量,包括玻璃类型和量,热量,HVAC,自然通风和照明系统类型以及相关的控制设置。
  • 从广泛的关键性能指标和变量类型中选择多达2个设计目标,多个约束以及多达10个设计变量。
  • Decide the priority to be placed on the design objectives after the analysis by checking the graphical results. For example in the above graph the red points show the "Pareto Front" of optimal solutions which give the lowest combination of construction cost and operational carbon emissions. The trade off between cost and carbon can be seen very clearly as well as the impact of the decision on lighting system choice. A quick look at this graph might help the designer to home in on the fluorescent lighting system with daylight control as the most cost effective system.

技术规格

  • Constrained multi-objective optimisation software using the NSGA2 algorithm and EnergyPlus simulations to calculate energy/comfort/carbon emissions.
  • 在幕后,优化模块通过自然选择过程使用高级进化算法,基于改善建筑物的性能以帮助实现设计目标。最佳特征将传递给子孙后代,并且该过程一直持续到确定最佳设计为止。
  • 即使是“矛盾”的设计目标,例如“最小化成本”和“最小化碳排放”,也可以同时分析,以提供一系列建议的设计,最能满足这两个目标。
  • 可以通过图形输出和数值来进一步分析所提出的解决方案(在“ Pareto Front”上)的集合,以识别最能满足所使用目标上设计优先级的设计。例如。优先考虑建筑成本或舒适性能,或者在成本和碳排放之间保持平衡。
  • Multiple designs are assessed in parallel on the local machine, on a network simulation server or with an appropriate account on a remote high performance computer.
  • Links to the JESS online simulation service allows fast simulations to be run on the cloud.
  • 将优化的任何选定设计应用于新的基础设计。
  • 使用电子表格进一步分析的导出结果。

Uncertainty and Sensitivity Analysis

示例应用程序

  • Generate probabilistic simulation results by quantifying the variation in outputs alongside coresponding changes in inputs, providing stakeholders with a preliminary risk assessment for meeting design objectives.
  • 通过确定任何不重要的变量来改善优化过程,以进行优化目标,并将其排除在优化搜索空间之外。
  • 确定建筑物的各个方面,这些方面很有可能创建操作阶段性能问题,从而有助于模型校准过程。
  • Identify the most influential factors impacting energy use by comparing uncertainty due to various inputs such as those related to occupant behaviour and to construction quality.

主要特点

  • High quality reports with histograms for each output and input explain the significance of the various uncertainty and sensitivity analysis results.
  • 对于输入参数,支持各种采样方法和广泛的概率分布。
  • 每个选定输出的分析中,任何数量的设计变量都可以包括在分析中。
  • Full statistical analysis carried out with reports for regression coefficients, p-values for statistical significance, standard deviation, median, min/max etc.

样本输出

UASATutorialUAResults

uasatutorialsaresults

软件包

优化is included in the more advanced packages for engineers,Engineering Plus和Pro

依赖性

优化还需要Simulation成本模块如果要在优化中应用碳和成本目标功能。

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