As we’ve mentioned before, New York is changing how it evaluates and compensates electric utilities. One goal of this change is increased consumer engagement, which makes customers allies in the development of a more reliable, resilient, and ‘smart’ electric grid.
Many customers have begun taking advantage of new energy technologies and their falling prices by turning to community microgrids, installing on-site distributed generation, like rooftop solar, or investing in more efficient appliances, among other actions. Advances in telecommunications and information systems have also created new opportunities for energy services we could not have imagined just a few years ago. For example, innovative tools like demand response allow third parties or utilities to turn off pre-approved appliances – like swimming pool pumps and air conditioners – remotely when the power grid is stressed and needs a quick reduction in energy demand. Read More
Source: Johannes Rössel, wikimedia commons
It would be logical to assume that we make decisions based on our needs, desires, and values regardless of how the choice is presented. For instance, we wouldn’t expect the choice to become an organ donor to depend on whether you must check a box to accept or decline donation. But we would be wrong: our decisions depend a great deal on how the choice is presented.
Choice architecture gets to the heart of the debate on whether it’s preferable to offer people the opportunity to opt-in or to opt-out, and this question has become crucial to the discussion about time-variant electricity pricing throughout the country.
Opt-out vs opt-in time-variant pricing
Currently, most electricity customers pay for electricity at a single flat rate (i.e., one price per kWh consumed). Such pricing is simple but doesn’t reflect actual system costs, which are higher during times of the day when overall energy demand peaks. Time-variant pricing instead allows utilities to charge more for electricity during periods of peak demand, and less during periods of lower demand. Read More