A recursive modelling technique applied to the model predictive control of fluid filled heat emitters

Rogers, D., Foster, M. and Bingham, C. (2013) A recursive modelling technique applied to the model predictive control of fluid filled heat emitters. Building and Environment, 62 . pp. 33-44. ISSN 0360-1323

Full content URL: http://dx.doi.org/10.1016/j.buildenv.2013.01.004

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Item Type:Article
Item Status:Live Archive


Based on the recent emergence of Controlled Radiator Valve (CRV) components, the paper considers the research, development, application and benefits of a modern control methodology to improve the heating efficiency of domestic dwellings. In particular, the problem of efficient temperature control, is formulated as a model predictive control scheme employing a parameter matching technique. A key contribution of the paper is the development of an on-line modelling method, which, in contrast to previously reported techniques, requires no prerequisite knowledge of the thermodynamic behaviour of a given controlled zone and a training period of only 48 h. Moreover, it is shown that excellent performance is obtained without the normal requirements for measurements of site weather or input from other external sources of weather data, thereby reducing system cost and complexity. The proposed techniques are applied in a controlled zone using a BS EN 442 oil filled heat emitter, whose input power is closely controlled using a PWM power converter within an instrumented test cell, and also in an occupied dwelling. Results demonstrated MPC can be implemented in a dwelling with minimal perquisite modelling and still achieve set point tracking when compared to more conventional solutions resulting in an energy saving of up to 22. © 2013 Elsevier Ltd.

Keywords:Domestic, External sources, Fluid-filled, Heat emitters, Heating control, Heating efficiencies, Input power, Model predictive, Modelling techniques, Modern control, On-line modelling, Parameter matching, PWM power converters, Reducing systems, Set-point tracking, Test cell, Thermodynamic behaviour, Weather data, Apartment houses, Buildings, Electric appliances, Model predictive control, Models, Predictive control systems, control system, heating, numerical model, prediction, temperature
Subjects:H Engineering > H100 General Engineering
G Mathematical and Computer Sciences > G150 Mathematical Modelling
Divisions:College of Science > School of Engineering
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ID Code:11475
Deposited On:06 Jan 2014 18:24

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