Cargando…
Spatiotemporal analysis of the future carbon footprint of solar electricity in the United States by a dynamic life cycle assessment
Solar photovoltaics (PVs) installation would increase 20-fold by 2050; however, considerable greenhouse gas (GHG) emissions are generated during the cradle-to-gate production, with spatiotemporal variances depending on the grid emission. Thus, a dynamic life cycle assessment (LCA) model was develope...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985043/ https://www.ncbi.nlm.nih.gov/pubmed/36879802 http://dx.doi.org/10.1016/j.isci.2023.106188 |
_version_ | 1784900868132306944 |
---|---|
author | Lu, Jiaqi Tang, Jing Shan, Rui Li, Guanghui Rao, Pinhua Zhang, Nan |
author_facet | Lu, Jiaqi Tang, Jing Shan, Rui Li, Guanghui Rao, Pinhua Zhang, Nan |
author_sort | Lu, Jiaqi |
collection | PubMed |
description | Solar photovoltaics (PVs) installation would increase 20-fold by 2050; however, considerable greenhouse gas (GHG) emissions are generated during the cradle-to-gate production, with spatiotemporal variances depending on the grid emission. Thus, a dynamic life cycle assessment (LCA) model was developed to assess the accumulated PV panels with a heterogeneous carbon footprint if manufactured and installed in the United States. The state-level carbon footprint of solar electricity (CFE(PV-avg)) from 2022 to 2050 was estimated using several cradle-to-gate production scenarios to account for emissions stemming from electricity generated from solar PVs. The CFE(PV-avg) (min 0.032, max 0.051, weighted avg. 0.040 kg CO(2)-eq/kWh) in 2050 will be significantly lower than that of the comparison benchmark (min 0.047, max 0.068, weighted avg. 0.056 kg CO(2)-eq/kWh). The proposed dynamic LCA framework is promising for planning solar PV supply chains and, ultimately, the supply chain of an entire carbon-neutral energy system to maximize the environmental benefits. |
format | Online Article Text |
id | pubmed-9985043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-99850432023-03-05 Spatiotemporal analysis of the future carbon footprint of solar electricity in the United States by a dynamic life cycle assessment Lu, Jiaqi Tang, Jing Shan, Rui Li, Guanghui Rao, Pinhua Zhang, Nan iScience Article Solar photovoltaics (PVs) installation would increase 20-fold by 2050; however, considerable greenhouse gas (GHG) emissions are generated during the cradle-to-gate production, with spatiotemporal variances depending on the grid emission. Thus, a dynamic life cycle assessment (LCA) model was developed to assess the accumulated PV panels with a heterogeneous carbon footprint if manufactured and installed in the United States. The state-level carbon footprint of solar electricity (CFE(PV-avg)) from 2022 to 2050 was estimated using several cradle-to-gate production scenarios to account for emissions stemming from electricity generated from solar PVs. The CFE(PV-avg) (min 0.032, max 0.051, weighted avg. 0.040 kg CO(2)-eq/kWh) in 2050 will be significantly lower than that of the comparison benchmark (min 0.047, max 0.068, weighted avg. 0.056 kg CO(2)-eq/kWh). The proposed dynamic LCA framework is promising for planning solar PV supply chains and, ultimately, the supply chain of an entire carbon-neutral energy system to maximize the environmental benefits. Elsevier 2023-02-13 /pmc/articles/PMC9985043/ /pubmed/36879802 http://dx.doi.org/10.1016/j.isci.2023.106188 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Lu, Jiaqi Tang, Jing Shan, Rui Li, Guanghui Rao, Pinhua Zhang, Nan Spatiotemporal analysis of the future carbon footprint of solar electricity in the United States by a dynamic life cycle assessment |
title | Spatiotemporal analysis of the future carbon footprint of solar electricity in the United States by a dynamic life cycle assessment |
title_full | Spatiotemporal analysis of the future carbon footprint of solar electricity in the United States by a dynamic life cycle assessment |
title_fullStr | Spatiotemporal analysis of the future carbon footprint of solar electricity in the United States by a dynamic life cycle assessment |
title_full_unstemmed | Spatiotemporal analysis of the future carbon footprint of solar electricity in the United States by a dynamic life cycle assessment |
title_short | Spatiotemporal analysis of the future carbon footprint of solar electricity in the United States by a dynamic life cycle assessment |
title_sort | spatiotemporal analysis of the future carbon footprint of solar electricity in the united states by a dynamic life cycle assessment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985043/ https://www.ncbi.nlm.nih.gov/pubmed/36879802 http://dx.doi.org/10.1016/j.isci.2023.106188 |
work_keys_str_mv | AT lujiaqi spatiotemporalanalysisofthefuturecarbonfootprintofsolarelectricityintheunitedstatesbyadynamiclifecycleassessment AT tangjing spatiotemporalanalysisofthefuturecarbonfootprintofsolarelectricityintheunitedstatesbyadynamiclifecycleassessment AT shanrui spatiotemporalanalysisofthefuturecarbonfootprintofsolarelectricityintheunitedstatesbyadynamiclifecycleassessment AT liguanghui spatiotemporalanalysisofthefuturecarbonfootprintofsolarelectricityintheunitedstatesbyadynamiclifecycleassessment AT raopinhua spatiotemporalanalysisofthefuturecarbonfootprintofsolarelectricityintheunitedstatesbyadynamiclifecycleassessment AT zhangnan spatiotemporalanalysisofthefuturecarbonfootprintofsolarelectricityintheunitedstatesbyadynamiclifecycleassessment |