A Bayesian network model for the optimization of a chiller plant’s condenser water set point-Reference-Cited by-同舟云学术

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A Bayesian network model for the optimization of a chiller plant’s condenser water set point

Published:2016-12-23 Issue:1 Volume:11 Page:36-47
ISSN:1940-1493
Container-title:Journal of Building Performance Simulation
language:en
Short-container-title:Journal of Building Performance Simulation

Author:

Huang Sen¹,Malara Ana Carolina Laurini²,Zuo Wangda¹,Sohn Michael D.³

Affiliation:

1. Department of Civil, Architectural and Environmental Engineering, University of Miami, 1251 Memorial Drive, Coral Gables, FL 33146, USA

2. Institute of Mathematics and Computer Science, University of São Paulo, São Paulo 13566-590, Brazil

3. Energy Analysis and Environmental Impacts Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

U.S. Department of Defense

Publisher

Informa UK Limited

Subject

Computer Science Applications,Modeling and Simulation,Building and Construction,Architecture

Link

https://www.tandfonline.com/doi/pdf/10.1080/19401493.2016.1269133

Reference28 articles.

1. A novel energy conservation method—optimal chiller loading

2. Energy conservation improvement and ON–OFF switch times reduction for an existing VFD-fan-based cooling tower

3. Achieving better energy-efficient air conditioning – A review of technologies and strategies

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