Using a utility system grey-box model as a support tool for progressive energy management and automation of buildings
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- 作者：Vítězslav Máša ; Michal Touš ; Martin Pavlas
- 关键词：Data ; driven modelling ; Simulation ; Optimization ; Utility system ; Control system
- 刊名：Clean Technologies and Environmental Policy
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：18
- 期：1
- 页码：195-208
- 全文大小：844 KB
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Michal Touš (1)
Martin Pavlas (1)
1. Institute of Process and Environmental Engineering, Brno University of Technology, Technická 2896/2, 61669, Brno, Czech Republic - 刊物类别：Engineering
- 刊物主题：Industrial and Production Engineering
Industrial Chemistry and Chemical Engineering
Industrial Pollution Prevention
Environmental Economics - 出版者：Springer Berlin / Heidelberg
- ISSN：1618-9558
文摘
The research presented here is focused on improving energy management in a building complex through analytical and empirical modelling of its utilities. First, we introduce current European policy on energy savings in buildings. The modelling starts with a literature review and a thorough study on a heating and cooling system of a particular building complex—the National Theatre in Prague, Czech Republic. Standard building automation and control systems cannot optimize the building’s operations to the fullest and thus do not provide the best cost savings possible. A mathematical model of the energy system and its integration into a building control system is an essential prerequisite for any optimization here. The development of a model which can be integrated into a control system during real-time operation of the building is a very complicated task. Our paper presents a procedure to develop such a model and methods to apply it in a real-life operation. First, the mathematical model is implemented in a simulation tool, which enables an efficiency evaluation of the system. This simulation tool offers especially important support for building automation and control systems when deciding the most effective operation of heat or cold utilities. The model greatly helps in monitoring and optimizing daily offtake limits for natural gas, which is highly appreciated by the building’s technical management. Our practical applications of the model show new possibilities for simulation and optimization calculations which are completely unique in building management systems so far.