Development of a framework for the assessment of energy demand-based greenhouse gas mitigation options for the agriculture sector
Abstract. This study assesses greenhouse gas (GHG) mitigation options for the agriculture sector. The Long-range Energy Alternatives Planning (LEAP) model was used to develop a framework to assess future trends in energy demand and associated GHG emissions for the agriculture sector and to assess va...
| Autores principales: | , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
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American Society of Agricultural and Biological Engineers
2018
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| Acceso en línea: | https://hdl.handle.net/10568/146756 |
| _version_ | 1855543481911476224 |
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| author | Bonyad, Marziyeh Shafique, Hafiz Umar Mondal, Md. Hossain Alam Subramanyam, Veena Kumar, Amit Ahiduzzaman, Md. |
| author_browse | Ahiduzzaman, Md. Bonyad, Marziyeh Kumar, Amit Mondal, Md. Hossain Alam Shafique, Hafiz Umar Subramanyam, Veena |
| author_facet | Bonyad, Marziyeh Shafique, Hafiz Umar Mondal, Md. Hossain Alam Subramanyam, Veena Kumar, Amit Ahiduzzaman, Md. |
| author_sort | Bonyad, Marziyeh |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Abstract. This study assesses greenhouse gas (GHG) mitigation options for the agriculture sector. The Long-range Energy Alternatives Planning (LEAP) model was used to develop a framework to assess future trends in energy demand and associated GHG emissions for the agriculture sector and to assess various GHG mitigation options associated with energy consumption. A business-as-usual (reference) scenario and 32 GHG mitigation scenarios were developed for the years 2009-2050 using the LEAP model. A case study for Alberta, Canada, was conducted. In the model, GHG mitigation scenarios were developed for the energy demand side (e.g., farm machines, farm transportation, lighting, and ventilation) based on efficiency improvements and the use of renewable energy. The mitigation scenarios were divided into two planning horizons based on technology penetration: slow penetration (2009-2050) and fast penetration (2009-2030). For each planning horizon, 16 scenarios were assessed. Of all farm machines, efficient diesel tractors have the highest GHG mitigation potential: 12.35 MT of CO2 equivalent by 2050 and 4.7 MT of CO2 equivalent by 2030. In addition, GHG abatement cost curves show that biodiesel tractors and efficient diesel tractors have the highest GHG mitigation potential, with attractive abatement costs of -$62 and -$11 tonne-1 of CO2 mitigated by 2050, respectively. Keywords: Abatement cost, Agriculture sector, Energy efficiency, GHG mitigation, LEAP model. |
| format | Journal Article |
| id | CGSpace146756 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | American Society of Agricultural and Biological Engineers |
| publisherStr | American Society of Agricultural and Biological Engineers |
| record_format | dspace |
| spelling | CGSpace1467562025-12-08T10:11:39Z Development of a framework for the assessment of energy demand-based greenhouse gas mitigation options for the agriculture sector Bonyad, Marziyeh Shafique, Hafiz Umar Mondal, Md. Hossain Alam Subramanyam, Veena Kumar, Amit Ahiduzzaman, Md. models efficiency mitigation agricultural sector greenhouse gas climate change mitigation energy Abstract. This study assesses greenhouse gas (GHG) mitigation options for the agriculture sector. The Long-range Energy Alternatives Planning (LEAP) model was used to develop a framework to assess future trends in energy demand and associated GHG emissions for the agriculture sector and to assess various GHG mitigation options associated with energy consumption. A business-as-usual (reference) scenario and 32 GHG mitigation scenarios were developed for the years 2009-2050 using the LEAP model. A case study for Alberta, Canada, was conducted. In the model, GHG mitigation scenarios were developed for the energy demand side (e.g., farm machines, farm transportation, lighting, and ventilation) based on efficiency improvements and the use of renewable energy. The mitigation scenarios were divided into two planning horizons based on technology penetration: slow penetration (2009-2050) and fast penetration (2009-2030). For each planning horizon, 16 scenarios were assessed. Of all farm machines, efficient diesel tractors have the highest GHG mitigation potential: 12.35 MT of CO2 equivalent by 2050 and 4.7 MT of CO2 equivalent by 2030. In addition, GHG abatement cost curves show that biodiesel tractors and efficient diesel tractors have the highest GHG mitigation potential, with attractive abatement costs of -$62 and -$11 tonne-1 of CO2 mitigated by 2050, respectively. Keywords: Abatement cost, Agriculture sector, Energy efficiency, GHG mitigation, LEAP model. 2018-06-27 2024-06-21T09:08:37Z 2024-06-21T09:08:37Z Journal Article https://hdl.handle.net/10568/146756 en Limited Access American Society of Agricultural and Biological Engineers Bonyad, Marziyeh; Shafique, Hafiz Umar; Mondal, Md. Hossain Alam; Subramanyam, Veena; Kumar, Amit; and Ahiduzzaman, Md. 2018. Development of a framework for the assessment of energy demand-based greenhouse gas mitigation options for the agriculture sector. Transactions of the ASABE. 61(3): 763-796 https://doi.org/10.13031/trans.12407 |
| spellingShingle | models efficiency mitigation agricultural sector greenhouse gas climate change mitigation energy Bonyad, Marziyeh Shafique, Hafiz Umar Mondal, Md. Hossain Alam Subramanyam, Veena Kumar, Amit Ahiduzzaman, Md. Development of a framework for the assessment of energy demand-based greenhouse gas mitigation options for the agriculture sector |
| title | Development of a framework for the assessment of energy demand-based greenhouse gas mitigation options for the agriculture sector |
| title_full | Development of a framework for the assessment of energy demand-based greenhouse gas mitigation options for the agriculture sector |
| title_fullStr | Development of a framework for the assessment of energy demand-based greenhouse gas mitigation options for the agriculture sector |
| title_full_unstemmed | Development of a framework for the assessment of energy demand-based greenhouse gas mitigation options for the agriculture sector |
| title_short | Development of a framework for the assessment of energy demand-based greenhouse gas mitigation options for the agriculture sector |
| title_sort | development of a framework for the assessment of energy demand based greenhouse gas mitigation options for the agriculture sector |
| topic | models efficiency mitigation agricultural sector greenhouse gas climate change mitigation energy |
| url | https://hdl.handle.net/10568/146756 |
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