Hygro-thermal model for estimation of demand response flexibility of closed refrigerated display cabinets

In this article we present and validate a novel methodology for estimating the temperature development heat extraction demand of closed refrigerated display cabinets (RDCs) in operating conditions, near-future prediction optimisation smart grids. The approach is based on an in-house developed hygro-thermal model RDC, which conditions each three main calculation domains, representing internal air, exchanger interior, are estimated at temporal scale seconds. interior air temperature, rate run-off condensate were validated towards experimental data with good conformity. Moreover, response purposes, article, provide examples how can be used to evaluate flexibility RDCs. hypothetical supermarket 11 RDCs exposed various thermal loads customer interactions, it that could reduced 0 up 83?127 s during opening/non-opening hours respectively. With strategic pre-cooling, latter time extended 322 s. For case signal requesting absorb excess energy, all would able run full power 17?29 s, approximately half them additional 20 opening hours. These findings total 44 five-minutes-ahead simulations possible scenarios RDCs, calculated by presented 10 conclusion, provides fast reliable results real-time predictions refrigeration control systems either benefit electrical grid or energy efficiency purposes.