Heating ventilation and air conditioning system; enhancement of energy consumption via control optimisation

• Autorzy: Zajic I. , Burnham K. J. , Larkowski T. , Hill D.
• Języki publikacji: EN

Abstrakty

EN

Nowadays, because of higher energy costs and the awareness of the environmental issues a general trend can be observed to increase the energy efficiency of heating ventilation and air conditioning (HVAC) systems. The paper demonstrates that this aim can be achieved by highly stable control allowing for operation close to the specification limits, where the highest profitability can be obtained. In this regard, black-box models of both the controlled zone air temperature and humidity are constructed for a subsequent analysis of the present control system via a computer simulation. The results obtained are utilised for tuning of controllers on a real plant leading, subsequently, to substantial energy savings. The paper also investigates a potential scope for further energy savings.

Słowa kluczowe

EN

black-box modelling; control optimisation; HVAC systems; reduced energy consumption

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Systems Science
• Rocznik: 2010
• Tom: Vol. 36, no 3
• Strony: 39--47
• Opis fizyczny: Bibliogr. 8 poz., rys., wykr.

Twórcy

autor

Zajic I.

autor

Burnham K. J.

autor

Larkowski T.

autor

Hill D.

• Control Theory and Applications Centre, Coventry University, Coventry, UK,

Bibliografia

• [1] Hill D., Danne T., Burnham K.J., Modelling and Control Optimisation of Desiccant Rotor Dehumidification Plant-within the Heating Ventilation and Air Conditioning Systems of a Medical Device Manufacturer, Proc. 20th Int. Conf. -Systems Engineering, Coventry, UK, 2009.
• [2] Kano M., Ogawa M., The state of the art in advanced chemical process control in Japan, IF AC Symposium on Advanced Control of Chemical Processes, Istanbul, Turkey, 2009, 11-26.
• [3] Larkowski T., Zajic I., Linden J.G., Bumham K.J., Hill D., Identification of a dehumidification process of the heating, ventilation and air conditioning system using bias compen-sated least squares approach, Proceedings of the International Conference on Systems Engineering ICSE, Coventry, UK, 2009, 296-305.
• [4] Levenmore G., Building control systems - CIBSE guide H, Butterworth-Heinemann, Oxford, 2000.
• [5] Taylor C.J., Shaban E.M., Stables M.A., Ako S., Proportional-integral-plus control applications of state-dependent parameter models, J. of Systems and Control Engineering, Vol. 221, No. 7, 2007, 1019-1032.
• [6] Underwood C.P., HVAC control systems: Modelling, analysis and design, E. & F.N. Spon, London, 1999.
• [7] Zajic I., Larkowski T., Hill D., Burnham K.J., Nonlinear compensator design for HVAC systems'. PI control strategy, Proceedings of the International Conference on Systems Engineering ICSE, Coventry, UK, 2009, 580-584.
• [8] Temperature model of clean room manufacturing area for control analysis, UKACC Int. Control Conf, Coventry, UK, 2010, 1251-1256.