Journal article
Optimal control of building HVAC&R systems using complete simulation-based sequential quadratic programming (CSB-SQP)
Building and environment, v 40(5), pp 657-669
2005
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper presents a general and systematic methodology, termed complete simulation-based sequential quadratic programming (CSB-SQP), for determining the optimal control of building HVAC&R systems. This approach allows the coupling of a detailed simulation program with an efficient optimization method, namely the sequential quadratic programming (SQP) algorithm. This approach allows the use of accurate component models of the system as against empirical models as currently used, while providing efficient optimal solutions to be determined. We develop the mathematical basis of the methodology and apply it to a simple cooling plant system to illustrate the accuracy, efficiency and robustness of this method. The issue of implementing such an optimization under real-time control is also discussed.
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Details
- Title
- Optimal control of building HVAC&R systems using complete simulation-based sequential quadratic programming (CSB-SQP)
- Creators
- Jian Sun - Drexel UniversityAgami Reddy - Drexel UniversityJie Sun - Pediatrics
- Publication Details
- Building and environment, v 40(5), pp 657-669
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Pediatrics; [Retired Faculty]
- Web of Science ID
- WOS:000227250900006
- Scopus ID
- 2-s2.0-13444280163
- Other Identifier
- 991019169632304721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Construction & Building Technology
- Engineering, Civil
- Engineering, Environmental