Energy optimization in chiller plants

A novel formulation and solution using a hybrid optimization technique

Aparna Aravelli, Singiresu S Rao

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

The central chilled water plant is one of the major power-consuming units of a building. Even small reductions in power consumption could achieve significant energy conservation. Hence, optimization of a chiller plant is necessary for energy savings without compromising the comfort level of the end user. The present work deals with identifying the system parameters and developing a novel formulation for a chiller plant and its optimization using a hybrid optimization technique. The optimization model formulation is based on finding an optimal mix of equipment and operating parameters in the chiller plant for minimum electrical power consumption. It takes into account the performance characteristics of the chillers, cooling towers and pumps, and optimizes the energy consumed based on the required loads and the ambient atmospheric conditions. Sequential quadratic programming combined with the modified branch and bound method was used to develop the hybrid optimization algorithm. A case study is presented for a typical chiller plant. The results indicate that the present optimization method could be a potential method of making energy savings.

Original languageEnglish
Pages (from-to)1187-1203
Number of pages17
JournalEngineering Optimization
Volume45
Issue number10
DOIs
StatePublished - Oct 1 2013

Fingerprint

Energy Optimization
Hybrid Optimization
Energy Saving
Optimization Techniques
Power Consumption
Branch and Bound Method
Optimization
Formulation
Energy Conservation
Hybrid Algorithm
Quadratic Programming
Optimization Model
Pump
Optimization Methods
Cooling
Optimization Algorithm
Energy conservation
Optimise
Water
Unit

Keywords

  • branch and bound method
  • chiller plants
  • energy conservation
  • mixed discrete optimization
  • sequential quadratic programming

ASJC Scopus subject areas

  • Control and Optimization
  • Industrial and Manufacturing Engineering
  • Applied Mathematics
  • Computer Science Applications
  • Management Science and Operations Research

Cite this

Energy optimization in chiller plants : A novel formulation and solution using a hybrid optimization technique. / Aravelli, Aparna; Rao, Singiresu S.

In: Engineering Optimization, Vol. 45, No. 10, 01.10.2013, p. 1187-1203.

Research output: Contribution to journalArticle

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