/npsi/ctrl?lang=en http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/ctrl?lang=fr Access and use of this website and the material on it are subject to the Terms and Conditions set forth at http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/jsp/nparc_cp.jsp?lang=en NRC Publications Archive Archives des publications du CNRCThis publication could be one of several versions: author's original, accepted manuscript or the publisher's version. / La version de cette publication peut être l'une des suivantes : la version prépublication de l'auteur, la version acceptée du manuscrit ou la version de l'éditeur. For the publisher's version, please access the DOI link below./ Pour consulter la version de l'éditeur, utilisez le lien DOI ci-dessous.http://dx.doi.org/10. 1016/j.enpol.2010.01.027 Energy Policy, 38, 7, pp. 3289-3296, 2010-07-01 The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: a review Newsham, G. R.; Bowker, B. G. (613) 954 3733 guy.newsham@nrc cnrc.gc.ca AbstractPeak demand for electricity in North America is expected to grow, challenging electrical utilities to supply this demand in a cost effective, reliable manner. Therefore, there is growing interest in strategies to reduce peak demand by eliminating electricity use, or shifting it to non peak times. This strategy is commonly called "demand response". In households, common strategies are time varying pricing, which charge more for energy use on peak, or direct load control, which allows utilities to curtail certain loads during high demand periods. We reviewed recent North American studies of these strategies.The data suggest that the most effective strategy is a critical peak price (CPP) program with enabling technology to automatically curtail loads on event days. There is little evidence that this causes substantial hardship for occupants, particularly if they have input into which loads are controlled and how, and have an override option. In such cases, a peak load reduction of at least 30% is a reasonable expectation. It might be possible to attain such load reductions without enabling technology by focusing on 1 household types more likely to respond, and providing them with excellent support. A simple time of use (TOU) program can only expect to realise on peak reductions of 5%.