A procedure to estimate variances and covariances on GHG emissions and inventories

This study presents a method for estimating the mean and variance of total CO2 emission from multiple sources used by a company. The procedure is also readily applicable to estimate these parameters for other greenhouse gases (GHG) inventories and to determine a reliable confidence interval for the...
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Autor*in:	Ernesto C. Marujo [verfasserIn] Gleice G. Rodrigues [verfasserIn] Weber A. N. Amaral [verfasserIn] Fernanda Leonardis [verfasserIn] Arthur Covatti [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	ghg emission inventory correlation of emissions confidence interval for emissions emission errors esg accounting carbon accounting

Übergeordnetes Werk:	In: Carbon Management - Taylor & Francis Group, 2022, 13(2022), 1, Seite 310-320
Übergeordnetes Werk:	volume:13 ; year:2022 ; number:1 ; pages:310-320

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.1080/17583004.2022.2086486

Katalog-ID:	DOAJ096625465

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source	In Carbon Management 13(2022), 1, Seite 310-320 volume:13 year:2022 number:1 pages:310-320
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topic_facet	ghg emission inventory correlation of emissions confidence interval for emissions emission errors esg accounting carbon accounting Environmental sciences
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authorswithroles_txt_mv	Ernesto C. Marujo @@aut@@ Gleice G. Rodrigues @@aut@@ Weber A. N. Amaral @@aut@@ Fernanda Leonardis @@aut@@ Arthur Covatti @@aut@@
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callnumber-first	G - Geography, Anthropology, Recreation
author	Ernesto C. Marujo
spellingShingle	Ernesto C. Marujo misc GE1-350 misc ghg emission inventory misc correlation of emissions misc confidence interval for emissions misc emission errors misc esg accounting misc carbon accounting misc Environmental sciences A procedure to estimate variances and covariances on GHG emissions and inventories
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topic_title	GE1-350 A procedure to estimate variances and covariances on GHG emissions and inventories ghg emission inventory correlation of emissions confidence interval for emissions emission errors esg accounting carbon accounting
topic	misc GE1-350 misc ghg emission inventory misc correlation of emissions misc confidence interval for emissions misc emission errors misc esg accounting misc carbon accounting misc Environmental sciences
topic_unstemmed	misc GE1-350 misc ghg emission inventory misc correlation of emissions misc confidence interval for emissions misc emission errors misc esg accounting misc carbon accounting misc Environmental sciences
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title	A procedure to estimate variances and covariances on GHG emissions and inventories
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title_full	A procedure to estimate variances and covariances on GHG emissions and inventories
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title_sort	procedure to estimate variances and covariances on ghg emissions and inventories
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title_auth	A procedure to estimate variances and covariances on GHG emissions and inventories
abstract	This study presents a method for estimating the mean and variance of total CO2 emission from multiple sources used by a company. The procedure is also readily applicable to estimate these parameters for other greenhouse gases (GHG) inventories and to determine a reliable confidence interval for the total emissions of GHG of a company. Our method represents an improvement over the existing methods that assume independence between emissions from different sources. The foundation of the proposed method is an iterative decomposition process applied to analyze the emissions correlations among activities, raw materials and other inputs used in a company’s operations. From these correlations and the individual estimates of means and variances of emission factors, we show how to generate a confidence interval for the total GHG emission of a company. The application of the method is illustrated for a hypothetical manufacturing plant of bicycles and car toys, whose total CO2 emission is estimated within a precise confidence interval.
abstractGer	This study presents a method for estimating the mean and variance of total CO2 emission from multiple sources used by a company. The procedure is also readily applicable to estimate these parameters for other greenhouse gases (GHG) inventories and to determine a reliable confidence interval for the total emissions of GHG of a company. Our method represents an improvement over the existing methods that assume independence between emissions from different sources. The foundation of the proposed method is an iterative decomposition process applied to analyze the emissions correlations among activities, raw materials and other inputs used in a company’s operations. From these correlations and the individual estimates of means and variances of emission factors, we show how to generate a confidence interval for the total GHG emission of a company. The application of the method is illustrated for a hypothetical manufacturing plant of bicycles and car toys, whose total CO2 emission is estimated within a precise confidence interval.
abstract_unstemmed	This study presents a method for estimating the mean and variance of total CO2 emission from multiple sources used by a company. The procedure is also readily applicable to estimate these parameters for other greenhouse gases (GHG) inventories and to determine a reliable confidence interval for the total emissions of GHG of a company. Our method represents an improvement over the existing methods that assume independence between emissions from different sources. The foundation of the proposed method is an iterative decomposition process applied to analyze the emissions correlations among activities, raw materials and other inputs used in a company’s operations. From these correlations and the individual estimates of means and variances of emission factors, we show how to generate a confidence interval for the total GHG emission of a company. The application of the method is illustrated for a hypothetical manufacturing plant of bicycles and car toys, whose total CO2 emission is estimated within a precise confidence interval.
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title_short	A procedure to estimate variances and covariances on GHG emissions and inventories
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A procedure to estimate variances and covariances on GHG emissions and inventories

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