该项目的总体目标是确定暖通空调系统的运行策略，该系统结合了系统动力学和相互作用，并有可能减少能源使用。根据项目的总体目标，制定了以下具体目标:1）通过使用收集的测试数据和设备计算机模型，研究建筑暖通空调系统的过程动力学和相互作用；2） 通过计算机模拟，确定暖通空调系统动态控制中控制决策之间的时间效应； 3） 通过计算机模拟，确定可能降低HVAC系统能耗的动态HVAC运行策略。该项目的主题建筑是位于佐治亚州亚特兰大的IBM国家营销部总部。该建筑为11层结构，主要用于办公空间。一个大型计算中心位于11楼。该中心的负荷占全年冷负荷的主要部分。 建筑的核心区负荷由两个可变风量系统来满足。周边区域由四台定容空气处理机组处理。有五台冷水机组可满足大楼的冷冻水需求。其中三台为离心式制冷机，其余两台为具有热回收能力的往复式制冷机。使用带有双速风扇的双室引风冷却塔来排出来自冷却器的热量。 描述了为暖通空调设备（冷却塔、冷水机组、空气处理机组等）建模而开发的计算机算法。优化研究的结果表明了定义操作参数的重要性；暖通空调设备和建筑舒适区的限制。该项目的最终结果是识别和调查潜在的节能暖通空调运行策略以及“可靠”设备模型的可用性。

The overall objective of the project was to determine operating strategies for HVAC systems which incorporate system dynamics and interactions and which will potentially reduce energy use. In keeping with the overall objective of the project the following specific goals were established:1) To study the process dynamics and interactions of a building HVAC system through the use of collected test data and equipment computer models;2) To determine, via computer simulations, the effect of the time between control decisions in the dynamic control of an HVAC system;3) To determine, via computer simulations, dynamic HVAC operating strategies that will potentially reduce the HVAC system energy consumption.The subject building for the project was the IBM National Marketing Division Headquarter's located in Atlanta, Georgia. The building is an 11-story structure that is used mainly for office space. A large computing center is located on the 11th floor. The load from this center represents a major portion of the cooling load throughout the entire year. The core zone load of the building is met by two variable air volume systems. The perimeter zones are handled by four constant volume air handling units. There are five water chillers available to meet the chilled water requirements for the building. Three of the chillers are centrifugal type chillers, while the remaining two chillers are reciprocating chillers with heat recovery capability. A two-celled, induced-draft cooling tower with two-speed fans is used to reject the heat from the chillers.The computer algorithms that were developed for the modeling of the HVAC equipment (cooling tower, water chillers, air handling units, etc.) are described.The results of the optimization study showed the importance of defining the operating;limits for the HVAC equipment and the building comfort zone. The end results of this proejct were the identification and investigation of potential energy saving HVAC operating strategies and the availability of "reliable" equipment models.