Python-LMDI: A Tool for Index Decomposition Analysis of Building Carbon Emissions
A timely analysis for carbon emission reduction in buildings is an effective global response to the crisis of climate change. The logarithmic mean Divisia index (LMDI) decomposition analysis approach has been extensively used to assess the carbon emission reduction potential of the buildings sector....
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/12/1/83 |
| _version_ | 1827666278536445952 |
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| author | Xiwang Xiang Xin Ma Zhili Ma Minda Ma Weiguang Cai |
| author_facet | Xiwang Xiang Xin Ma Zhili Ma Minda Ma Weiguang Cai |
| author_sort | Xiwang Xiang |
| collection | DOAJ |
| description | A timely analysis for carbon emission reduction in buildings is an effective global response to the crisis of climate change. The logarithmic mean Divisia index (LMDI) decomposition analysis approach has been extensively used to assess the carbon emission reduction potential of the buildings sector. In order to simplify the calculation process and to expand its application scope, a new open-source Python tool (PyLMDI) developed in this article is used to compute the results of LMDI decomposition analysis, including multiplicative and additive decomposition. Users can quickly obtain the decomposition result by initializing the input data through a simple class data structure. In addition, the carbon emissions from commercial buildings are used as a numerical example to demonstrate the function of PyLMDI. In summary, PyLMDI is a potential calculation tool for index decomposition analysis that can provide calculation guidance for carbon emission reduction in the buildings sector. The data and codes for the numerical example are also included. |
| first_indexed | 2024-03-10T01:48:31Z |
| format | Article |
| id | doaj.art-c8155383298e4374a95fedd44291ca73 |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-10T01:48:31Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-c8155383298e4374a95fedd44291ca732023-11-23T13:12:01ZengMDPI AGBuildings2075-53092022-01-011218310.3390/buildings12010083Python-LMDI: A Tool for Index Decomposition Analysis of Building Carbon EmissionsXiwang Xiang0Xin Ma1Zhili Ma2Minda Ma3Weiguang Cai4School of Management Science and Real Estate, Chongqing University, Chongqing 400045, ChinaSchool of Science, Southwest University of Science and Technology, Mianyang 621010, ChinaSchool of Management Science and Real Estate, Chongqing University, Chongqing 400045, ChinaSchool of Architecture and Urban Planning, Chongqing University, Chongqing 400045, ChinaSchool of Management Science and Real Estate, Chongqing University, Chongqing 400045, ChinaA timely analysis for carbon emission reduction in buildings is an effective global response to the crisis of climate change. The logarithmic mean Divisia index (LMDI) decomposition analysis approach has been extensively used to assess the carbon emission reduction potential of the buildings sector. In order to simplify the calculation process and to expand its application scope, a new open-source Python tool (PyLMDI) developed in this article is used to compute the results of LMDI decomposition analysis, including multiplicative and additive decomposition. Users can quickly obtain the decomposition result by initializing the input data through a simple class data structure. In addition, the carbon emissions from commercial buildings are used as a numerical example to demonstrate the function of PyLMDI. In summary, PyLMDI is a potential calculation tool for index decomposition analysis that can provide calculation guidance for carbon emission reduction in the buildings sector. The data and codes for the numerical example are also included.https://www.mdpi.com/2075-5309/12/1/83carbon reductionbuilding operationsindex decomposition analysisPython-LMDI |
| spellingShingle | Xiwang Xiang Xin Ma Zhili Ma Minda Ma Weiguang Cai Python-LMDI: A Tool for Index Decomposition Analysis of Building Carbon Emissions Buildings carbon reduction building operations index decomposition analysis Python-LMDI |
| title | Python-LMDI: A Tool for Index Decomposition Analysis of Building Carbon Emissions |
| title_full | Python-LMDI: A Tool for Index Decomposition Analysis of Building Carbon Emissions |
| title_fullStr | Python-LMDI: A Tool for Index Decomposition Analysis of Building Carbon Emissions |
| title_full_unstemmed | Python-LMDI: A Tool for Index Decomposition Analysis of Building Carbon Emissions |
| title_short | Python-LMDI: A Tool for Index Decomposition Analysis of Building Carbon Emissions |
| title_sort | python lmdi a tool for index decomposition analysis of building carbon emissions |
| topic | carbon reduction building operations index decomposition analysis Python-LMDI |
| url | https://www.mdpi.com/2075-5309/12/1/83 |
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