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Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption
India is expected to witness rapid growth in electricity use over the next two decades. Here, we introduce a custom regression model to project electricity consumption in India over the coming decades, which includes a bottom-up estimate of electricity consumption for two major growth drivers, air c...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282627/ https://www.ncbi.nlm.nih.gov/pubmed/34267222 http://dx.doi.org/10.1038/s41597-021-00951-6 |
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author | Barbar, Marc Mallapragada, Dharik S. Alsup, Meia Stoner, Robert |
author_facet | Barbar, Marc Mallapragada, Dharik S. Alsup, Meia Stoner, Robert |
author_sort | Barbar, Marc |
collection | PubMed |
description | India is expected to witness rapid growth in electricity use over the next two decades. Here, we introduce a custom regression model to project electricity consumption in India over the coming decades, which includes a bottom-up estimate of electricity consumption for two major growth drivers, air conditioning, and vehicle electrification. The model projections are available at a customizable level of spatial aggregation at an hourly temporal resolution, which makes them useful as inputs to long-term electricity infrastructure planning studies. The approach is used to develop electricity consumption data sets spanning various technology adoption and growth scenarios up to the year 2050 in five-year increments. The aim of the data is to provide a range of scenarios for India’s demand growth given new technology adoption. With long-term hourly demand projections serving as an essential input for electricity infrastructure modeling, this data publication enables further work on energy efficiency, generation, and transmission expansion planning for a fast-growing and increasingly important region from a global climate mitigation perspective. |
format | Online Article Text |
id | pubmed-8282627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82826272021-07-23 Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption Barbar, Marc Mallapragada, Dharik S. Alsup, Meia Stoner, Robert Sci Data Data Descriptor India is expected to witness rapid growth in electricity use over the next two decades. Here, we introduce a custom regression model to project electricity consumption in India over the coming decades, which includes a bottom-up estimate of electricity consumption for two major growth drivers, air conditioning, and vehicle electrification. The model projections are available at a customizable level of spatial aggregation at an hourly temporal resolution, which makes them useful as inputs to long-term electricity infrastructure planning studies. The approach is used to develop electricity consumption data sets spanning various technology adoption and growth scenarios up to the year 2050 in five-year increments. The aim of the data is to provide a range of scenarios for India’s demand growth given new technology adoption. With long-term hourly demand projections serving as an essential input for electricity infrastructure modeling, this data publication enables further work on energy efficiency, generation, and transmission expansion planning for a fast-growing and increasingly important region from a global climate mitigation perspective. Nature Publishing Group UK 2021-07-15 /pmc/articles/PMC8282627/ /pubmed/34267222 http://dx.doi.org/10.1038/s41597-021-00951-6 Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Barbar, Marc Mallapragada, Dharik S. Alsup, Meia Stoner, Robert Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption |
title | Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption |
title_full | Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption |
title_fullStr | Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption |
title_full_unstemmed | Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption |
title_short | Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption |
title_sort | scenarios of future indian electricity demand accounting for space cooling and electric vehicle adoption |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282627/ https://www.ncbi.nlm.nih.gov/pubmed/34267222 http://dx.doi.org/10.1038/s41597-021-00951-6 |
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