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Title: The Industry Energy Tool (IET): Documentation

Abstract

Studies of industrial energy use typically mention the sector's heterogeneity and complexity as modelling barriers. One of the more significant impediments to analyzing and building models of U.S. industrial energy use is the lack of current, disaggregated data. The Industry Energy Tool (IET) and its foundational data addresses some of these barriers. The IET uses county-level energy data with stock turnover, energy efficiency, fuel switching, and emissions functionalities to calculate energy use and emissions from agriculture, construction, mining, and manufacturing industries from 2014 to 2050. The IET is an open-source, transparent, and flexible tool for exploring industrial sector energy and emissions scenarios. The IET takes a simplified approach to developing scenario projections of energy and emissions by allowing users to modify pre-populated inputs for achieved energy efficiency, rate of equipment stock turnover, and future penetration renewable electricity. In addition to its transparency and flexibility, the strengths of the IET lie in its geographically- and operationally-disaggregated data set. The IET's foundational data is built on energy data first calculated at the facility- and technology-level for many of the largest energy-using industries. These data are then aggregated to the county and end-use level with other publicly-available data for use in scenarios estimatedmore » by the IET.« less

Authors:
ORCiD logo [1];  [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Strategic Programs (EE-SP)
OSTI Identifier:
1484348
Report Number(s):
NREL/TP-6A20-71990
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY, AND ECONOMY; tools; industry; energy analysis

Citation Formats

McMillan, Colin A, and Narwade, Vinayak. The Industry Energy Tool (IET): Documentation. United States: N. p., 2018. Web. doi:10.2172/1484348.
McMillan, Colin A, & Narwade, Vinayak. The Industry Energy Tool (IET): Documentation. United States. doi:10.2172/1484348.
McMillan, Colin A, and Narwade, Vinayak. Tue . "The Industry Energy Tool (IET): Documentation". United States. doi:10.2172/1484348. https://www.osti.gov/servlets/purl/1484348.
@article{osti_1484348,
title = {The Industry Energy Tool (IET): Documentation},
author = {McMillan, Colin A and Narwade, Vinayak},
abstractNote = {Studies of industrial energy use typically mention the sector's heterogeneity and complexity as modelling barriers. One of the more significant impediments to analyzing and building models of U.S. industrial energy use is the lack of current, disaggregated data. The Industry Energy Tool (IET) and its foundational data addresses some of these barriers. The IET uses county-level energy data with stock turnover, energy efficiency, fuel switching, and emissions functionalities to calculate energy use and emissions from agriculture, construction, mining, and manufacturing industries from 2014 to 2050. The IET is an open-source, transparent, and flexible tool for exploring industrial sector energy and emissions scenarios. The IET takes a simplified approach to developing scenario projections of energy and emissions by allowing users to modify pre-populated inputs for achieved energy efficiency, rate of equipment stock turnover, and future penetration renewable electricity. In addition to its transparency and flexibility, the strengths of the IET lie in its geographically- and operationally-disaggregated data set. The IET's foundational data is built on energy data first calculated at the facility- and technology-level for many of the largest energy-using industries. These data are then aggregated to the county and end-use level with other publicly-available data for use in scenarios estimated by the IET.},
doi = {10.2172/1484348},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Nov 27 00:00:00 EST 2018},
month = {Tue Nov 27 00:00:00 EST 2018}
}

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