Model predictive control for building temperature regulation

With the rapid increase in human consumption of energy, global warming is becoming an urgent problem. According to the past research, a significant part of greenhouse gas release and electricity consumption has been connected to buildings. Heating systems are the major contributor to high energy consumption of buildings. Better methods for decreasing energy consumption of buildings should be proposed and applied. Model predictive control is widely used in building temperature regulation. Each model predictive control has its advantage. Through the comparison of several methods, this thesis discusses their respective features. The combination of a Matlab-based modeling system CVX and model predictive control makes the optimization easy. A new idea for a model predictive control method about temperature regulation is proposed. The simulation of the disturbance will be implemented as an input. The demonstration of its advantage is shown. This thesis uses temperature index and energy index to help people evaluate the result. An index tuner is put forward to simplify the optimization.

Name thesis:degree_name

Master of Science in Electrical Engineering - (M.S.)

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Year

2013

Author dc:creator

• Dong, Weiqiang

Contributors dc:contributor

• MengChu Zhou
• Hongya Ge
• Yunni Xia

• Building temperature regulation
• Model predictive control
• Electrical and Electronics

Repository record dc:identifier

https://digitalcommons.njit.edu/theses/153

OAI identifier oai:identifier

oai:digitalcommons.njit.edu:theses-1152