Evaluation of operation performance of a multi-chiller system using a data-based chiller model
Authors:
- Yijun WangYWYijun Wang
- Xinqiao JinXJXinqiao Jin
- Zhimin DuZDZhimin Du
- Xu ZhuXZXu Zhu
- 1 August 2018
- journal article
- research article
- Published by Elsevier in Energy and Buildings
- Vol. 172, 1-9
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (51776118)
This publication has 20 references indexed in Scilit:
- Fault detection and diagnosis for buildings and HVAC systems using combined neural networks and subtractive clustering analysisBuilding and Environment, 2014
- Improved firefly algorithm approach applied to chiller loading for energy conservationEnergy and Buildings, 2013
- Using cluster and multivariate analyses to appraise the operating performance of a chiller system serving an institutional buildingEnergy and Buildings, 2012
- Optimal control strategies for multi-chiller system based on probability density distribution of cooling load ratioEnergy and Buildings, 2011
- Optimal chilled water temperature calculation of multiple chiller systems using Hopfield neural network for saving energyEnergy, 2009
- Evolution strategy based optimal chiller loading for saving energyEnergy Conversion and Management, 2009
- An innovative approach for demand side management—optimal chiller loading by simulated annealingEnergy, 2006
- Optimal chiller sequencing by branch and bound method for saving energyEnergy Conversion and Management, 2005
- A novel energy conservation method—optimal chiller loadingElectric Power Systems Research, 2004
- Centrifugal chillers: Thermodynamic modelling and a diagnostic case studyInternational Journal of Refrigeration, 1995