The Missing Correlation Between the Potential Rate Impacts of Rooftop Solar and the Timing of State Net Metering Policy Revisions

O'Shaughnessy, Eric; Zuboy, Jarett

doi:10.7799/2583741

Title: The Missing Correlation Between the Potential Rate Impacts of Rooftop Solar and the Timing of State Net Metering Policy Revisions

Dataset
Other Related Research

Authors:

O'Shaughnessy, Eric;

National Renewable Energy Laboratory

Publication Date:: Fri Aug 15 04:00:00 UTC 2025

DOE Contract Number:: AC36-08GO28308

Research Org.:: National Renewable Energy Laboratory

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office

Subject:: 14 SOLAR ENERGY; net metering; rates; solar

OSTI Identifier:: 2583741

DOI:: https://doi.org/10.7799/2583741

Citation Formats


                    O'Shaughnessy, Eric, and Zuboy, Jarett. The Missing Correlation Between the Potential Rate Impacts of Rooftop Solar and the Timing of State Net Metering Policy Revisions.  United States: N. p., 2025. 
        Web.  doi:10.7799/2583741.

Copy to clipboard


                    O'Shaughnessy, Eric, & Zuboy, Jarett. The Missing Correlation Between the Potential Rate Impacts of Rooftop Solar and the Timing of State Net Metering Policy Revisions.  United States.  doi:https://doi.org/10.7799/2583741

Copy to clipboard


                    O'Shaughnessy, Eric, and Zuboy, Jarett. 2025.  
"The Missing Correlation Between the Potential Rate Impacts of Rooftop Solar and the Timing of State Net Metering Policy Revisions".  United States.  doi:https://doi.org/10.7799/2583741.  https://www.osti.gov/servlets/purl/2583741. Pub date:Fri Aug 15 04:00:00 UTC 2025

Copy to clipboard


                    
@article{osti_2583741,

  title        = {The Missing Correlation Between the Potential Rate Impacts of Rooftop Solar and the Timing of State Net Metering Policy Revisions},

  author       = {O'Shaughnessy, Eric and Zuboy, Jarett},

  abstractNote = {},

  doi          = {10.7799/2583741},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Aug 15 04:00:00 UTC 2025},

  month        = {Fri Aug 15 04:00:00 UTC 2025}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.7799/2583741

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

The missing correlation between the potential rate impacts of rooftop solar and the timing of state net metering policy revisions

Journal Article O'Shaughnessy, Eric ; Zuboy, Jarett ; Margolis, Robert - Environmental Research: Energy

Residential solar photovoltaic (PV) output in most states is credited at the retail electricity rate, a policy commonly known as net metering. Twelve states have replaced net metering with alternative rate structures that reduce PV adopter bill savings. Proponents of these revisions argue that net metering increases the electricity rates of customers without PV. Here, we analyze the degree to which the timelines of net metering revisions have correlated with potential electricity rate impacts. We estimate that potential rate impacts at the end of 2023 were less than 1% of typical customer bills in 37 of 44 states that havemore »« less
Rooftop Solar Deployment, Potential Electricity Rate Impacts, and the Timing of Revisions to State Net Metering Policy

Technical Report O'Shaughnessy, Eric ; Zuboy, Jarett ; Margolis, Robert

Most U.S. states require utilities to credit residential solar photovoltaic (PV) output at the retail electricity rate, a structure known as net metering. However, 12 states have replaced net metering with alternative rate structures that reduce PV adopter bill savings. The share of households living in states that require net metering fell from around 84% in 2014 to around 57% by the end of 2023. Proponents of net metering revisions have argued that net metering can affect the electricity rates of customers without PV. This report analyzes the relationships between state PV deployment levels, potential electricity rate impacts on PVmore »« less
Dataset For: A Guide to Residential Energy Storage and Rooftop Solar: State Net Metering Policies and Utility Rate Tariff Structures

Dataset Kerby, Jessica R ; Tarekegne, Bethel W

Federal and state decarbonization goals have led to numerous financial incentives and policies designed to increase access and adoption of renewable energy systems. In combination with the declining cost of both solar photovoltaic and battery energy storage systems and rising electric utility rates, residential renewable adoption has become more favorable than ever. However, not all states provide the same opportunity for cost recovery, and the complicated and changing policy and utility landscape can make it difficult for households to make an informed decision on whether to install a renewable system. This paper is intended to provide a guide to householdsmore »« less
Rooftop Photovoltaic Technical Potential in the United States

Dataset Gagnon, Pieter ; Margolis, Robert ; Phillips, Caleb

This data submission contains a workbook with data, and three sets of shapefiles that correspond to that data. Contact: Meghan Mooney, Meghan.Mooney@nrel.gov The workbook contains data that underlies the 2016 technical report Rooftop Solar Photovoltaic Technical Potential in the United States: A Detailed Assessment. This data is separated into small, medium, and large buildings. A small building is less than 5,000 square feet, a medium building is between 5,000 and 25,000 square feet, and a large building is greater than 25,000 square feet. The suitability of roof area for hosting PV was determined based on shading (energy production not lessmore »« less
Puerto Rico Solar-for-All: LMI PV Rooftop Technical Potential and Solar Savings Potential

Dataset Mooney, Meghan ; Waechter, Katy ; Miller, Clark

The Puerto Rico Solar-For-All dataset provides Census Tract level estimates of residential low-to-moderate income (LMI) PV rooftop technical potential as well as solar electric bill savings potential for LMI communities at the municipality level. Each dataset is broken out by income group, defined by the Area Median Income (AMI), by tenure, and by building type. The underlying LiDAR data used the estimation were collected in 2015-2017 and the American Community Survey (ACS) data are from 2011-2015. This Puerto Rico Solar-For-All dataset is intended to extend the SEEDSII Solar-For-All estimates for the US 50-states (https://www.nrel.gov/docs/fy18osti/70901.pdf) for the territory of Puerto Ricomore »« less

Similar Records