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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.
Citation: 2019 Annual Conference, Kansas City, MO, Extended Abstracts
Product Details
- Published:
- 2019
- Number of Pages:
- 3
- Units of Measure:
- Dual
- File Size:
- 1 file , 990 KB
- Product Code(s):
- D-KC-19-A030
