Model identification with application to building control and fault detection

(cont.) may still be solved as an unconstrained linear least squares problem. To enforce the constraint on system eigenvalues, the problem is formulated as an unconstrained mixed (linear and non-linear) least-squares problem, which is easier to solve than the corresponding problem with linear objective function and non-linear constraints. The (usually unfounded) assumption on which the normal equations are based--that observations of the independent variables are error free--is relaxed at the cost of one more non-linear term. The resulting model coefficients are valid for predicting heat rate given zone temperature as well as for predicting zone temperature given heat rate. Control. Three important control applications involving transient zone thermal response are HVAC curtailment, optimal start, and night precooling. A general framework for model-based control of zone and whole-building operation is developed. Optimal precooling under time-of-use rates is formulated to solve the optimal fan operation sequence using a one-day control horizon with hourly time steps. Energy and demand cost savings are presented.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Architecture.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2004

Author dc:creator

• Armstrong, Peter Ross, 1950-

Advisor dc:contributor.advisor

• Leslie K. Norford and Steven B. Leeb.

• Architecture.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

en_US

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/28805

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/28805