Model Predictive Control of Building HVAC System Employing Zone Thermal Energy Requests (CROSBI ID 678699)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Hure, Nikola ; Martinčević, Anita ; Vašak, Mario
engleski
Model Predictive Control of Building HVAC System Employing Zone Thermal Energy Requests
Control in buildings has been a subject of research interest in the control community for some time. Various control methods have shown a potential for a significant savings in the building operation costs, whereas a large economic gain in the operation of a heating, ventilation and air conditioning (HVAC) system can be obtained by employing information about the building thermal model and the model of actuators, weather conditions, energy demand cost as well as the energy requests in the zones. This paper proposes a model predictive controller for a building chiller that exploits respective information to minimise the cost of cooling in the electricity market with volatile electrical energy prices, while ensuring comfort within the zones and respecting the power demand limitations. Obtained optimal control problem is nonlinear and the minimisation is performed by employing the successive linear programming algorithm within the feasibility region and the gradient algorithm for finding the initial feasible point. A case study HVAC system model is used to validate the performance of the proposed controller in the simulation scenario. Obtained controller minimises the cost of cooling while adhering to the imposed comfort constraints.
HVAC, cooling, chiller, COP model, zone energy requests, heat losses, demand response, model predictive control, SLP
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Podaci o prilogu
13-18.
2019.
objavljeno
10.1109/PC.2019.8815225
Podaci o matičnoj publikaciji
Fikar, M. ; Kvasnica, M.
Podaci o skupu
22nd International Conference on Process Control
predavanje
11.06.2019-14.06.2019
Štrbské Pleso, Slovačka