Napee understanding cost effectiveness of energy efficiency programs

In approving or modifying a program, program cost effectiveness is a significant consideration. Visit NV Energy's website for information on energy efficiency programs available to the utility's customers.

One component the PUCN uses in determining cost effectiveness of energy efficiency programs is the annual Energy Efficiency and Conservation Program Verification and Measurement Report filed by the utility.

The Action Plan was led by a diverse Leadership Group of more than 60 leading gas and electric utilities, state agencies, energy consumers, energy service providers, environmental groups, and energy efficiency organizations. The Leadership Group identified key barriers limiting greater investment in cost-effective energy efficiency, made five key policy recommendations to overcome the barriers, and documented policy and regulatory options for greater attention and investment in energy efficiency.

Many Leadership Group organizations were joined by other states, utilities, and key stakeholders across 49 states in making aggressive commitments to energy efficiency and endorsing the recommendations of the Action Plan.

National Action Plan for Energy Efficiency. They are intended for use by State Utility Commissions. View 6 excerpts, references background. California is entering uncharted territory in terms of scaling-up energy efficiency EE savings goals.

View 1 excerpt. Market barriers to energy efficiency: A critical reappraisal of the rationale for public policies to promote energy efficiency. This report reviews current perspectives on market barriers to energy efficiency.

Ratepayer-funded utility energy-efficiency programs are likely to change in scope, size, and nature as the … Expand. View 1 excerpt, references background. Beyond case studies: Barriers to energy efficiency in commerce and the services sector. To assess the empirical relevance of various barriers to the diffusion of energy-efficient measures, we conduct econometric analyses for 19 sub-sectors in the German commercial and services sectors.

Guide to Resource Planning with Energy Efficiency. Energy storage scientists at NREL are turning to cutting-edge machine-learning techniques to strengthen their understanding of advanced battery materials, chemistries, and cell designs.

These complex computer algorithms help accelerate the characterization of battery performance, lifetime, and safety by offering insights into potential patterns within data sets.

Researchers are using machine learning and artificial intelligence to evaluate manufacturing quality, lifetime and performance, materials research, and safety protocols for energy storage applications. The Storage Futures Study considers when and where a range of storage technologies are cost-competitive, depending on how they're operated and what services they provide for the grid. NREL researchers are collaborating across technologies to consider the role of specific storage approaches.

Power Sector , described the significant market potential for utility-scale diurnal storage up to 12 hours in the U. The research team—Will Frazier, Wesley Cole, Paul Denholm, Scott Machen, Nathaniel Gates and Nate Blair—found storage adds the most value to the grid, and deployment increases when the power system allows storage to simultaneously provide multiple grid services and when there is greater solar photovoltaic penetration.

Conversations in Transforming Energy Storage This integrated approach to energy storage signifies a movement to identify synergies within diverse conversion and storage solutions.