Further exploring the potential of residential demand response programs in electricity distribution

Fostering Residential Demand Response through Dynamic Pricing Schemes: A Behavioural Review of Smart Grid Pilots in Europe

“…Project results show that there has been a consistent change of behavior after the power-based tariffs were introduced: the absolute shift from peak to off-peak and vice versa was distributed between the summer (8.7%) and the winter (1.6%) season [31]. A follow-up study found that during the six year period following the first study (2009)(2010)(2011)(2012)(2013)(2014), households responded to the price signals by reducing individual peak demand by 9.3% (summer) and 7.5% (winter) as well as shifting electricity consumption from peak to off-peak hours by 2.4 and 0.2% respectively in the summer and winter seasons [32]. Although residential consumers are not used to being charged based on power instead of energy and most participants even indicated that they had not bothered to understand in detail the consequences of the power-based tariff, they were satisfied with noting that it is better for their private economy to use electricity in off-peak periods, supporting this first hypothesis.…”

Demand response flexibility and flexibility potential of residential smart appliances: Experiences from large pilot test in Belgium

“…In [16], the flexibility potential of residential A/C systems is extrapolated from hourly electricity consumption data. In [17][18][19][20] impacts and quantifications of residential flexibility are given. However, the flexibility measured in these works was specifically for users that participated to dynamic tariff schemes.…”

Assessment and evaluation of flexible demand in a Danish future energy scenario

“…The demand response is limited within thermal residential demands like heating, ventilation, and air-conditioning. Bartusch and Alvehag [10] investigate the potential of demand response with empirical data among Swedish single-family homes and apartment residence. They conclude that the consumers respond to price signals resulting in a reduction of the peak demand and a shift it to less demanding hours.…”