Maximum demand charge rates for commercial and industrial electricity tariffs in the United States

McLaren, Joyce; Gagnon, Pieter; Zimny-Schmitt, Daniel; DeMinco, Michael; Wilson, Eric

doi:10.7799/1392982

Title: Maximum demand charge rates for commercial and industrial electricity tariffs in the United States

Dataset
Other Related Research

Abstract

NREL has assembled a list of U.S. retail electricity tariffs and their associated demand charge rates for the Commercial and Industrial sectors. The data was obtained from the Utility Rate Database. Keep the following information in mind when interpreting the data: (1) These data were interpreted and transcribed manually from utility tariff sheets, which are often complex. It is a certainty that these data contain errors, and therefore should only be used as a reference. Actual utility tariff sheets should be consulted if an action requires this type of data. (2) These data only contains tariffs that were entered into the Utility Rate Database. Since not all tariffs are designed in a format that can be entered into the Database, this list is incomplete - it does not contain all tariffs in the United States. (3) These data may have changed since this list was developed (4) Many of the underlying tariffs have additional restrictions or requirements that are not represented here. For example, they may only be available to the agricultural sector or closed to new customers. (5) If there are multiple demand charge elements in a given tariff, the maximum demand charge is the sum of each ofmore »« less

Authors:: McLaren, Joyce; Gagnon, Pieter; Zimny-Schmitt, Daniel; DeMinco, Michael; Wilson, Eric

Publication Date:: Wed Sep 20 00:00:00 EDT 2017

Other Number(s):: 74

DOE Contract Number:: FY16 AOP 4.1.0.29

Research Org.:: National Renewable Energy Laboratory - Data (NREL-DATA), Golden, CO (United States); National Renewable Energy Lab. (NREL), Golden, CO (United States)

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

Subject:: 14 SOLAR ENERGY; 17 WIND ENERGY; 24 POWER TRANSMISSION AND DISTRIBUTION; 25 ENERGY STORAGE

Keywords:: NREL; data; demand charge; tariff; electricity; United States; commercial; industrial; utility rate; energy analysis; rate tier; grid modernization; solar power; wind energy; distribution capacity; buildings efficiency; consumption; utilities; location; building size; charge rates; battery; storage; /kW; statistical analysis; Clean Energy Group; Resiliant Power Project; SunShot; renewable energy; RE

OSTI Identifier:: 1392982

DOI:: https://doi.org/10.7799/1392982

Citation Formats


                    McLaren, Joyce, Gagnon, Pieter, Zimny-Schmitt, Daniel, DeMinco, Michael, and Wilson, Eric. Maximum demand charge rates for commercial and industrial electricity tariffs in the United States.  United States: N. p., 2017. 
        Web.  doi:10.7799/1392982.

Copy to clipboard


                    McLaren, Joyce, Gagnon, Pieter, Zimny-Schmitt, Daniel, DeMinco, Michael, & Wilson, Eric. Maximum demand charge rates for commercial and industrial electricity tariffs in the United States.  United States.  doi:https://doi.org/10.7799/1392982

Copy to clipboard


                    McLaren, Joyce, Gagnon, Pieter, Zimny-Schmitt, Daniel, DeMinco, Michael, and Wilson, Eric. 2017.  
"Maximum demand charge rates for commercial and industrial electricity tariffs in the United States".  United States.  doi:https://doi.org/10.7799/1392982.  https://www.osti.gov/servlets/purl/1392982. Pub date:Wed Sep 20 00:00:00 EDT 2017

Copy to clipboard


                    
@article{osti_1392982,

  title        = {Maximum demand charge rates for commercial and industrial electricity tariffs in the United States},

  author       = {McLaren, Joyce and Gagnon, Pieter and Zimny-Schmitt, Daniel and DeMinco, Michael and Wilson, Eric},

  abstractNote = {NREL has assembled a list of U.S. retail electricity tariffs and their associated demand charge rates for the Commercial and Industrial sectors. The data was obtained from the Utility Rate Database. Keep the following information in mind when interpreting the data: (1) These data were interpreted and transcribed manually from utility tariff sheets, which are often complex. It is a certainty that these data contain errors, and therefore should only be used as a reference. Actual utility tariff sheets should be consulted if an action requires this type of data. (2) These data only contains tariffs that were entered into the Utility Rate Database. Since not all tariffs are designed in a format that can be entered into the Database, this list is incomplete - it does not contain all tariffs in the United States. (3) These data may have changed since this list was developed (4) Many of the underlying tariffs have additional restrictions or requirements that are not represented here. For example, they may only be available to the agricultural sector or closed to new customers. (5) If there are multiple demand charge elements in a given tariff, the maximum demand charge is the sum of each of the elements at any point in time. Where tiers were present, the highest rate tier was assumed. The value is a maximum for the year, and may be significantly different from demand charge rates at other times in the year. Utility Rate Database: https://openei.org/wiki/Utility_Rate_Database},

  doi          = {10.7799/1392982},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Sep 20 00:00:00 EDT 2017},

  month        = {Wed Sep 20 00:00:00 EDT 2017}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.7799/1392982

Save / Share:

Export Metadata

Save to My Library

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

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
Data Files for “The 2030 National Charging Network: Estimating U.S. Light-Duty Demand for Electric Vehicle Charging Infrastructure"

Dataset Borlaug, Brennan ; Wood, Eric

This data set includes modeling results from “The 2030 National Charging Network: Estimating U.S. Light-Duty Demand for Electric Vehicle Charging Infrastructure” including region-specific [i.e., national, state, and core-based statistical area (CBSA)—cities/towns] electric vehicle supply equipment (EVSE) port count requirements in 2025 and 2030 for multiple scenarios described in the study. Please cite as: Wood, E., B. Borlaug, M. Moniot, D.-Y. Lee, Y. Ge, F. Yang, and Z. Liu. 2023. The 2030 National Charging Network: Estimating U.S. Light-Duty Demand for Electric Vehicle Charging Infrastructure. Golden, CO: National Renewable Energy Laboratory. NREL/TP-5400-85654.
Data Files for 'The 2030 National Charging Network: Estimating U.S. Light-Duty Demand for Electric Vehicle Charging Infrastructure'

Dataset Wood, Eric ; Borlaug, Brennan

This data set includes modeling results from The 2030 National Charging Network: Estimating U.S. Light-Duty Demand for Electric Vehicle Charging Infrastructure, including region-specific (i.e., national, state, and core-based statistical area cities and towns) electric vehicle supply equipment port count requirements in 2025 and 2030 for multiple scenarios described in the study.
DayRec: An Interface for Exploring United States Record-Maximum/Minimum Daily Temperatures

Dataset Dale P. Kaiser,

Like politics, you might say that all climate is local. As researchers seek to help the public better understand climate and climate change, a sensible approach would include helping people know more about changes in their own backyards. High and low temperatures are something that all of us pay attention to each day; when they are extreme (flirting with or setting records) they generate tremendous interest, largely because of the potential for significant impacts on human health, the environment, and built infrastructure. Changes through time in record high and low temperatures (extremes) are also an important manifestation of climate changemore »« less
Impact of uncoordinated plug-in electric vehicle charging on residential power demand - supplementary data

Dataset Muratori, Matteo

This data set is provided in support of a forthcoming paper: "Impact of uncoordinated plug-in electric vehicle charging on residential power demand," [1]. These files include electricity demand profiles for 200 households randomly selected among the ones available in the 2009 RECS data set for the Midwest region of the United States. The profiles have been generated using the modeling proposed by Muratori et al. [2], [3], that produces realistic patterns of residential power consumption, validated using metered data, with a resolution of 10 minutes. Households vary in size and number of occupants and the profiles represent total electricity use,more »« less

Similar Records