Energy Management System for the Demand Response in TUCN Buildings

Modelling and evaluation of the Baseline Energy Consumption and the Key Performance Indicators in Technical University of Cluj‐Napoca buildings within a Demand Response programme: a case study

“…The implemented scenarios at Romanian pilot site, described in [37, 40], are as follows: Scenario 1 : Virtual critical peak pricing (CPP) with automated control, which temporally reduced TUCN peak power demand for the upcoming day by shifting/rescheduling the working hours of some assets, away from national peak power demand periods. This scenario assumes temporary interruptions to cooling for 1 h during peak power demand period, if it is necessary, a precooling of the building will be done to maintain occupants comfort level [40]. Assets under control are the individual cooling units from the classrooms and offices and laboratory equipment (manually); chillers, ventilation units, swimming pool pumps and the cooling unit in the Sports room – automatic controlled [37, 40].…”

“…This scenario assumes temporary interruptions to cooling for 1 h during peak power demand period, if it is necessary, a precooling of the building will be done to maintain occupants comfort level [40]. Assets under control are the individual cooling units from the classrooms and offices and laboratory equipment (manually); chillers, ventilation units, swimming pool pumps and the cooling unit in the Sports room – automatic controlled [37, 40]. As a solution outline for this scenario is to arrange the BEMS to control these automated assets. Scenario 2 : Virtual time of use (TOU) tariff with a scheduled response, aims to permanently reduce TUCN buildings' peak power demand by rescheduling the use of high‐power equipment according to National daily peak power demand periods and local TUCN peak power demand [37, 40].…”

“…Assets under control are the individual cooling units from the classrooms and offices and laboratory equipment (manually); chillers, ventilation units, swimming pool pumps and the cooling unit in the Sports room – automatic controlled [37, 40]. As a solution outline for this scenario is to arrange the BEMS to control these automated assets. Scenario 2 : Virtual time of use (TOU) tariff with a scheduled response, aims to permanently reduce TUCN buildings' peak power demand by rescheduling the use of high‐power equipment according to National daily peak power demand periods and local TUCN peak power demand [37, 40]. Assets, which are under controlled are high‐power laboratory equipment and students washing machines [37, 40].…”

“…As a solution outline for this scenario is to arrange the BEMS to control these automated assets. Scenario 2 : Virtual time of use (TOU) tariff with a scheduled response, aims to permanently reduce TUCN buildings' peak power demand by rescheduling the use of high‐power equipment according to National daily peak power demand periods and local TUCN peak power demand [37, 40]. Assets, which are under controlled are high‐power laboratory equipment and students washing machines [37, 40]. Before the start of the academic year, high‐power equipment staff will be asked to plan their work for the entire semester outside national peak power demand periods, introducing a break in their schedule for this period.…”

“…Before the start of the academic year, high‐power equipment staff will be asked to plan their work for the entire semester outside national peak power demand periods, introducing a break in their schedule for this period. The potential shift will be quantified as if a TOU tariff was charged [40]. Scenario 3 : Explicit demand reduction in SDs, which implies to temporally reduce SDs electrical energy consumption [37, 40].…”