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.
| File Size : | 1
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, 990 KB |
| Note : | This product is unavailable in Russia, Belarus |
| Number of Pages : | 3 |
| Product Code(s) : | D-KC-19-A030 |
| Published : | 2019 |
| Units of Measure : | Dual |
