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Predictive Control of Heating and Cooling in Individual and Networked Buildings


The primary SME proposer, InteSys Ltd, has produced a prototype device which could make low-cost predictive control of individual or district heating and cooling feasible, as documented in the enclosed Research Feasibility Study. Having spent a number of years in complementary fields of expertise, it has become apparent to the SME proposers that they have the skills and know-how to take this technology further and investigate ways of developing and using cost-effective predictive controllers. 45% of the energy in the UK is consumed in buildings. Per annum, this represents 0.8 x I Ol2 kWh, it costs 28.5 billion ECU, and has a consquence of 247 million tonnes of CO2 emissions into the atmosphere. In European terms, assuming that the UK represents about 18% of total European consumption, the energy consumed in buildings is 4.44 x 1012 kWh, it costs 158 billion ECU and contributes to emissions of 1372 million tonnes of CO2. Independent research has found that 20% of energy in buildings can be saved by using predictive control. If the take up of predictive control in Europe is only 1%, the saving of 20% of energy will represent the saving of 316 million ECU and 2.74 million tonnes of CO2 per annum. The purpose of this project is to conduct an experimental investigation into the ways in which predictive control devices could be developed and used in buildings with individual or district heating, by building prototypes and conducting field trials in occupied buildings. Although initially applied to heating of residential buildings, the scope of application will be control of both heating and cooling, in residential and commercial buildings. The benefits of such low-cost predictive control are economic and social (316 million ECU more disposable income), and environmental (2.74 million tonnes less CO2 emissions into the atmosphere and thus less pollution and less damage to the ozone layer) in both a European and broader worldwide context (figures based on 1% take-up of predictive control making 20% savings). The results of the project will be disseminated through a series of seminars in different member states, thus fostering links between suppliers and users of the technology throughout Europe. This will increase market awareness and enable technology transfer to the end user.

Funding Scheme

CRS - Cooperative research contracts


Birmingham Research Park, Vincent Drive
B15 2SQ Edgbaston - Birmingham
United Kingdom

Participants (6)

Elomatic Group Oy
37,Välhäheikkiläntie 37
20810 Turku
Helsinki University of Technology
02150 Espoo
OK Automation GmbH
4,Hermann Richtergasse
3100 St. Pölten
United Kingdom
2,Salisbury Court
N63 5JD Mapperley, Nottingham
Nils Koppels Alle, Building 403
2800 Lyngby
Vitec AB

907 19 Umeaa