Description

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 , 510 KB

Product Code(s):

D-KC-19-A030