Predatory Search Strategy for Load Distribution of Multiple Chiller Water Units for the Purpose of Energy Saving

Jun Zhang; Kan Yu Zhang

doi:10.4028/www.scientific.net/AMR.383-390.3586

Paper Titles

CFD Application on Ventilation System of Hydro-Generator
p.3561

Analysis of Material and Energy Flow Variation for Energy Saving and Consumption Reduction in Pelletizing Process
p.3566

Simulation Studies for Doubly-Fed Wind Generator Based on Neural Network Internal Model Control
p.3571

DFIG Wind Power Generation Based on Direct Two-Stage Matrix Converter
p.3578

Predatory Search Strategy for Load Distribution of Multiple Chiller Water Units for the Purpose of Energy Saving
p.3586

A Method for Water Quality Remote Retrieva Based on Support Vector Regression with Parameters Optimized by Genetic Algorithm
p.3593

Processing Method for the Node of Wind Farm in Power Flow Calculation
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Universal-Joint Sun Tracking Method and Tracking Device
p.3605

A Study on the New Grid Integration Solutions of Offshore Wind Farms
p.3610

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 383-390Predatory Search Strategy for Load Distribution of...

Predatory Search Strategy for Load Distribution of Multiple Chiller Water Units for the Purpose of Energy Saving

Abstract:

In this paper, two chiller water units connected in parallel working using the predatory search strategy was observed. Predatory search strategy has been applied to solve the optimal load distribution strategy problem for the cooling system constituted by multiple chiller water units, which has the characteristic such as complexity, constraint, nonlinearity, modeling difficulty, etc. Compared with the conventional method,the results indicated that the predatory search strategy algorithms has much less power consumption and is very suitable for application in air condition system operation.

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Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

3586-3592

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.383-390.3586

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Online since:

November 2011

Authors:

Jun Zhang, Kan Yu Zhang

Keywords:

Algorithm (GA), Chiller Water Units, Direct Load Control, Energy Consumption (EC), Optimal Chiller Load Distribution, Part Load, Predatory Search, Saving Energy

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References

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