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Minimal-Cost Hybrid Model Predictive Control of the Heating in the Actelion Building


Giampaolo Torrisi

Master Thesis, FS12 (10168)

Efficient usage of energy is becoming a pivotal topic on the strain of increased energy costs and demand, decision to ban nuclear energy in some countries and environmental concerns. The OptiControl project, a joint venture of ETH Zurich, swisselectric research, Siemens, Gruner and other commercial partners, aims at applying Model Predictive Control (MPC) to the heating system of commercial buildings and to reduce their energy consumption and CO2 emissions. Using MPC to control the heating allows one to minimize the energy consumption, ensure that the temperature is within comfort constraints and account for the prediction of internal and external factors (e.g., occupancy, weather forecasts). The OptiControl project has already started testing on the Actelion Building in Basel and has achieved the following initial results: (i) an accurate model of the Actelion Building in EnergyPlus called truth model, (ii) two approximated models for control purposes, and (iii) an MPC controller for a single simplified room. The current focus of the OptiControl project is to extend these results to the full second floor of the Actelion Building.


Type of Publication:

(12)Diploma/Master Thesis

D. Sturzenegger

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% Autogenerated BibTeX entry
@PhdThesis { Xxx:2012:IFA_4158
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