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Modeling and Identification for HVAC Systems
KTH, School of Electrical Engineering (EES), Automatic Control.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Heating, Ventilation and Air Conditioning (HVAC) systems consist of all the

equipment that control the conditions and distribution of indoor air. Indoor

air must be confortable and healthy for the occupants to maximize their

productivity. Moreover, HVAC energy consumption is between 20% and 40%

of the total energy consumption in developed countries and accounts around

33% of the global CO

2emissions. So the study of HVAC systems plays an

important role in building science.

The aim of this project is to identify mathematical models that will be

employed by intelligent control algorithms which guarantee human comfort

indoors, energy saving and less CO

2emissions at the same time. Three models,

based on first-principle physical knowledge, are proposed for CO


temperature and humidity, respectively, for a room in the Q-building at KTH.

Thermodynamic equations and an original estimation of the number of the

occupiers of the room are employed.

Validation shows that models have really good performances, even with a

short training dataset. Discussions on the obtained results are given and some

ideas for future work are proposed.

Place, publisher, year, edition, pages
2012. , 48 p.
EES Examensarbete / Master Thesis, XR-EE-RT 2012:014
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-101439OAI: diva2:547622
Available from: 2012-08-30 Created: 2012-08-28 Last updated: 2012-08-30Bibliographically approved

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