E. Marujo, G. G. Rodrigues, Weber A. N. Amaral, Fernanda Leonardis, Arthur Covatti
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引用次数: 1
Abstract
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.
期刊介绍:
Carbon Management is a scholarly peer-reviewed forum for insights from the diverse array of disciplines that enhance our understanding of carbon dioxide and other GHG interactions – from biology, ecology, chemistry and engineering to law, policy, economics and sociology.
The core aim of Carbon Management is it to examine the options and mechanisms for mitigating the causes and impacts of climate change, which includes mechanisms for reducing emissions and enhancing the removal of GHGs from the atmosphere, as well as metrics used to measure performance of options and mechanisms resulting from international treaties, domestic policies, local regulations, environmental markets, technologies, industrial efforts and consumer choices.
One key aim of the journal is to catalyse intellectual debate in an inclusive and scientific manner on the practical work of policy implementation related to the long-term effort of managing our global GHG emissions and impacts. Decisions made in the near future will have profound impacts on the global climate and biosphere. Carbon Management delivers research findings in an accessible format to inform decisions in the fields of research, education, management and environmental policy.