| Description |
1 online resource (15 pages) ; color illustrations. |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Series |
Conference paper ; NREL/CP-6A20-80141 |
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Conference paper (National Renewable Energy Laboratory (U.S.)) ; NREL/CP-6A20-80141.
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| Note |
"Preprint." |
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"August 2021." |
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"Presented at the 2021 Summer Study on Energy Efficiency in Industry Virtual July 12-15, 2021." |
| Bibliography |
Includes bibliographical references (page 15). |
| Funding |
DE-AC36-08GO28308. |
| Note |
Description based on online resource; title from PDF title page (NREL, viewed Dec. 28, 2021). |
| Summary |
Industrial processes drive the exchange of materials, energy, and currency throughout the economy. These processes are powered by electricity and direct combustion, with variation in their operation even within the same industry. This heterogeneity makes it difficult for large models, including the National Energy Modeling System (US), to project their energy use while remaining tractable. Decarbonization and ensuing changes to the energy system require changes to industrial processes while offering opportunities for process innovation, but the extent and nature of changes are difficult to model with current classification schemes and corresponding data. The North American Industrial Classification (NAICS) is an economic taxonomy of industries, but its categories are less meaningful from an energy and material flow perspective. For example, a facility that makes steel from iron ore in a blast furnace/basic oxygen furnace is categorized under the same NAICS code as a facility that makes steel from scrap in an electric arc furnace despite the scale, use of recycled scrap versus iron ore, and energy use differences in the two facility types. Exploratory analysis is performed on a large dataset used for plant-level energy assessment in order to detect clusters that can aid in better modeling of industry for energy analysis in an evolving system with breakthrough technologies. |
| Subject |
Pulsed power systems -- Mathematical models.
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Énergie pulsée -- Modèles mathématiques.
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| Indexed Term |
clustering |
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industry |
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taxonomy |
| Added Author |
McMillan, Colin, author.
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National Renewable Energy Laboratory (U.S.), issuing body.
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| Added Title |
Pursuing a new taxonomy of industry for improved energy system modeling |
| Standard No. |
1817361 OSTI ID |
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https://orcid.org/0000-0002-6362-8706 |
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0000-0001-5346-478X |
| Gpo Item No. |
0430-P-04 (online) |
| Sudoc No. |
E 9.17:NREL/CP-6 A 20-80141 |
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