规范和标准规定了暖通空调设备的最低性能，例如通常称为冷水机组的冷水机组。制冷机性能通常使用两个指标来描述，一个是全负荷效率，另一个是部分负荷效率。制冷机运行在建筑能耗模拟软件中建模，使用一组性能曲线描述环境和运行条件变化时设备的性能。虽然代码和标准定义了最低设备效率，但满足这些不断变化的要求的模拟就绪性能曲线通常不可用。本文讨论了使用遗传算法来修改典型的冷水机组性能曲线，以匹配全部和部分性能曲线- 加载代码效率最低。引用:2019年年度会议，密苏里州堪萨斯城，扩展摘要

Codes and standards specify minimum performance of HVAC equipment such as water-chilling packages commonly known as chillers. Chiller performance is usually described using two metrics, a full and part-load efficiency. Chiller operation is modeled in building energy simulation software, using a set of performance curves that describe the performance of the equipment as environmental and operational conditions change. While code and standards define the minimum equipment efficiency, simulation-ready performance curves meeting these ever-changing requirements are not typically available. This paper discusses the use of a genetic algorithm to modify typical chiller performance curves to match both full and part-load code minimum efficiency.