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Dynamic building energy performance analysis: A new adaptive control strategy for stringent thermohygrometric indoor air requirements
- Source :
- Applied Energy. 163:361-386
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- In this paper a novel optimal Model Reference Adaptive Control approach, developed to tame the thermohygrometric behaviour of buildings as well as to guarantee the indoor comfort, is presented. The main advantages of the proposed method are: (i) no-need of a priori knowledge of the specific building dynamics due to climate, occupants’ behaviour, building use, envelope features and utility rates; (ii) robustness with respect to a large class of perturbations, external disturbances, nonlinear unmodelled dynamics or parameters uncertainty; (iii) ability to impose desired optimal dynamics; (iv) accurate regulation and fast tracking of indoor air temperature and humidity in the case of stringent requirements in special building spaces (e.g. hospitals, museums, laboratories, etc.). In order to investigate the effectiveness of the proposed method, the developed strategy has been implemented in the new release of a white-modelling building energy performance simulation code, called DETECt 2.3. The tool enables multi-zone building simulation analyses and is capable to dynamically predict: (i) spaces sensible and latent heating and cooling demands and loads; (ii) indoor air temperatures and humidity, as well as building envelope internal and external temperatures; (iii) the performance of phase change materials (PCM) embedded in building enclosures and for any layer configuration; (iv) the thermohygrometric comfort of occupants. In order to analyse the effectiveness and robustness of the proposed control strategy, several case studies have been carried out. They refer to some reference buildings with different geometry, use and construction materials (also including PCM integrated into the building envelope) simulated in different weather conditions. For each case study, both continuous and intermittent control system regimes have been considered. Results confirm the ability of the developed approach to achieve the selected indoor air temperature and humidity conditions in order to guarantee indoor comfort in uncertain conditions. The numerical analysis is complemented with the rigorous analytical proof of asymptotic stability.
- Subjects :
- Engineering
Adaptive control
business.industry
020209 energy
Mechanical Engineering
Numerical analysis
Intermittent control
Control engineering
02 engineering and technology
Building and Construction
010501 environmental sciences
Management, Monitoring, Policy and Law
01 natural sciences
Dynamic building performance simulations, Model Reference Adaptive Control, Thermohygrometric comfort
Nonlinear system
General Energy
Exponential stability
Control theory
Robustness (computer science)
0202 electrical engineering, electronic engineering, information engineering
A priori and a posteriori
business
Building envelope
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 03062619
- Volume :
- 163
- Database :
- OpenAIRE
- Journal :
- Applied Energy
- Accession number :
- edsair.doi.dedup.....94155747cf8c59a89350c45b69eb7867