ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL, vol.21, no.5, pp.891-902, 2022 (SCI-Expanded)
Participants in Residential Demand Response are motivated via incentives offered by aggregators to reduce CO2 emissions. Aggregators aim to succeed the day-ahead emission of CO2 in the allowed range thanks to the loads that make up the manageable electricity demand. The reduction in the peak value of CO2 emissions can be done by postponing the running time of the manageable loads. In this study, a novel method that aimed to obtain manageable residential CO2 emission capacity by activity-based power models was introduced. Studies were conducted with sixteen residential appliances involved in twelve activities in three cases. Power models were created by adding realistic electricity energy data, consumer behaviors, behavioral adaptations, habits, and physical determinants. Simulations were done over a week for twelve months to obtain direct CO2 emissions due to electricity and natural gas demand of 100 houses. Day-ahead electricity related CO2 emissions were calculated via the share of resources involved in electricity generation to meet consumers' demand. The manageable capacity of the emitted CO2 was at least 56.7% of the total electricity-based emission. The share of the manageable capacity in emitted CO2 was at least 28.8%, 14.8%, 13.1% for interruptible, automatic deferrable and manually deferrable loads respectively. The mean value of the gas-induced CO2 emission in a house for hot water need and space heating with combi boilers was 4.1 kg.