Full Title: Simulation Controlled Large Scale District Energy Chilled Water SystemOptimization
Author(s): John Rauch
Publisher(s): Pepco Energy Services
Publication Date: April 1, 2014
Full Text: Download Resource
Description (excerpt):
The Pepco Energy Services Midtown Thermal Control Center district energy system in Atlantic City, NJ provides over 50,000,000 ton‐hours of chilled water to casinos year round for comfort cooling. The innovative and unique objective of the chiller plant optimization was to install the first ever simulation and model driven controlled district energy plant using a non‐propriety, open protocol and fully modeled brute force optimizer. This approach is equipment model driven and is customized to MTCC’s plant and operations. At the heart of the software is an algorithm that is computing all possible chiller, pump and cooling tower sequencing permutations, modified flows, set points and load limits. These calculations find the combination of equipment and speeds that result in the lowest kW input and/or the lowest instantaneous cost of production (driven by a cost of operation goal seek algorithm as an electric device minimal kW search). The goal is to optimize the system, not just a group of equipment.