Entity

Time filter

Source Type

Washington, DC, United States

Hecht J.,ICF International | Reid S.,ICF Consulting | Chalak A.,American University of Beirut
Journal - American Water Works Association | Year: 2015

Advances in choice modeling allow for the approximation of the spread of preferences within a population and the estimation of individual-level preferences. These techniques translate preference estimates into information that is more useful from a managerial perspective. This study illustrates the application of such techniques to stated preference data collected for a water and sewage utility in the United Kingdom. Using a choice experiment, customers' willingness to pay for various water and sewage service improvements was estimated. Results showed a substantial willingness to pay for various private-good services (such as water and sewage services) and public-good environmental services (such as reduced greenhouse gas emissions). The customer population was segmented according to customer preferences, allowing for a description of the characteristics of each segment. Potential customer demand was forecasted for different packages of service improvements offered to customers at varying prices. The analysis thus addressed issues of customer acceptability and equity relating to the provision of service improvements. 2015 © American Water Works Association. Source


Ivanov C.,Power System Engineering Inc. | Getachew L.,Power System Engineering Inc. | Fenrick S.A.,Power System Engineering Inc. | Vittetoe B.,ICF Consulting
Utilities Policy | Year: 2013

We examine the demand impact of a smart meter pilot conducted by Connexus Energy from 2008 until 2010. We focus on the amount of peak time energy use reduction, either through forgone usage or load shifting to off-peak times, as a result of enabling technologies in the form of in-home displays and smart thermostats. The in-home display allows the treatment group members to voluntarily alter their power use during "red alert" (critical peak) days. The smart thermostats also installed for the treatment group enable the utility to reduce AC usage of that group during red alert days by remotely turning up the temperature setting by 3 degrees Fahrenheit (°F) (i.e., a form of direct load control). We use hourly fixed effects models to examine peak time energy use changes in the summer of 2010. We find that treatment group members reduced their peak time energy use relative to the control group, which had no in-home displays or smart thermostats. Treatment group members who had the enabling technologies used, on average, 0.47 less kW, or 15% less energy, during peak hours on an average red alert day. © 2012 Elsevier Ltd. Source


News Article
Site: http://phys.org/technology-news/

A new series of reports commissioned by the U.S. Department of Energy's Office of Electricity Delivery and Energy Reliability through Lawrence Berkeley National Laboratory's (Berkeley Lab) Electricity Markets and Policy Group will advance the discussion by examining issues related to electric industry regulation and utility business models. The unique point-counterpoint approach sharpens the debate on tradeoffs in achieving multiple objectives for the electric system, including reliability, affordability, cleaner resources and more flexibility. The reports in the Future Electric Utility Regulation series will each be written by different thought-leaders in the electric industry, while Berkeley Lab—which serves as technical editor and contributes to the report writing—manages the series. The first two reports were recently released. The first report, 'Electric Industry Structure and Regulatory Responses in a High Distributed Energy Resources Future,' discusses likely changes in electric industry structure and regulation in the year 2030. The authors, Steve Corneli of NRG and Steve Kihm of Seventhwave, develop new tools to examine the relationship between natural monopoly, competitive alternatives and regulatory responses considering both potential profitability and the social benefits of coordination. They extend the analysis to a world where distributed resources such as rooftop solar and storage are competitive with grid power in price and performance and describe two alternative (but not mutually exclusive) views of the future. The second report, 'Distribution Systems in a High Distributed Energy Resources Future: Planning, Market Design, Operation and Oversight,' covers distribution system planning and markets in such a future. The report offers a practical three-stage framework to guide the evolution of utility distribution systems with growth in distributed resources, lays out three possible models for future operation of distribution systems, and considers pros and cons of an independent distribution system operator versus the utility serving in that role. Authors are Paul De Martini of ICF Consulting and Lorenzo Kristov with the California ISO. Additional reports underway in the series, and expected publication dates, include: Explore further: NREL releases report on testing electric vehicles to optimize their performance with power grids


Sankovski A.,ICF Consulting | Barbour W.,U.S. Environmental Protection Agency | Pepper W.,ICF Consulting
Environmental Economics and Policy Studies | Year: 2014

This paper describes two mitigation scenarios leading to the stabilization of atmospheric CO2 concentrations at 550 and 750ppm. These mitigation scenarios are developed from the A2-ASF baseline scenario, which characterizes a regionalized world with continuous population growth (to about 15 billion in 2100), relatively slow technological progress, and high CO2 emissions reaching 28 Gt of carbon by 2100. It is argued here that large-scale GHG emission abatement measures needed to reach the agreed stabilization targets in such a world can be implemented only if negative impacts of global climate change become imminent and severe and opportunities for adaptation are limited. A single measure to reduce GHG emissions in the current analysis is a carbon tax on fossil fuels, the full amount of which is translated into an increase in corresponding fuel prices. This increase leads to an absolute reduction in fossil fuel use and a switch to non-fossil energy sources, such as nuclear energy and renewables. In order to reach the desired stabilization target, the 2100 total energy use has to be reduced to 50% of the baseline level for the 550ppm level and to 70% for the 750ppm level. At the regional level, the largest relative reductions are implemented in regions with relatively high per capita GDP growth and regions with a relatively low cost of renewable energy. © 2000, Springer Japan. Source

Discover hidden collaborations