Abstract
In developing economies with hot climates, the summer time peak load due to space cooling frequently results in power outages, as the outdated grid is not able to keep up with the demand. In this paper, computer simulation is carried out to develop and analyse a two-pronged strategy for peak load reduction, utilizing a relatively new thermal comfort model, together with variation in building fabric properties. The thermal comfort model is used to dynamically set the cooling setpoint temperature through implementation in MATLAB, with the building is simulated using EnergyPlus V8.8, both linked for co-simulation using the Buildings Control Virtual Test Best (BCVTB).
Compared to the baseline with a typical fixed cooling setpoint of 24°C, the newly developed cooling setpoint control strategy resulted in a reduction of 20% and 41% in the peak load and monthly energy demand respectively. This came at the cost of increasing the average PPD% from 7.2% to 12.6%. This work may be of interest to practitioners wishing to address demand management at the building scale. Moreover, it may be readily extended to analyse a group of buildings towards demand management at a higher level of aggregation.
Compared to the baseline with a typical fixed cooling setpoint of 24°C, the newly developed cooling setpoint control strategy resulted in a reduction of 20% and 41% in the peak load and monthly energy demand respectively. This came at the cost of increasing the average PPD% from 7.2% to 12.6%. This work may be of interest to practitioners wishing to address demand management at the building scale. Moreover, it may be readily extended to analyse a group of buildings towards demand management at a higher level of aggregation.
Original language | English |
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Pages | 904-922 |
Number of pages | 18 |
Publication status | Published - 16 Apr 2020 |
Event | 11th Windsor Conference - Duration: 16 Apr 2020 → … |
Conference
Conference | 11th Windsor Conference |
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Period | 16/04/20 → … |