Fossil fuel use and CO2 emissions in Korea: NEAT approach

Park, Hi-Chun

doi:10.1016/j.resconrec.2005.05.006

Cited by 13 publications

(14 citation statements)

References 2 publications

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“…1). 18 Park (2005) identified errors in earlier versions of South Korean energy statistics. Here, double counting of process energy and/or backflows to refineries proved to be a source of major inconsistencies.…”

Section: Total Non-energy Usementioning

confidence: 99%

“…As a consequence, non-energy use data as published by both national and international energy statistics lack a consistent definition of system boundaries (Neelis 2006, Weiss et al 2008a. Estimates of non-energy use emissions in national greenhouse gas (GHG) inventories suffer from errors or incompleteness and are generally subject to major uncertainties (La Motta et al 2005;Neelis et al 2005a;Park 2005;Weiss et al 2008a). Global emission inventories such as compiled by ORNL (Oak Ridge National Laboratory; Marland et al 2006) or EDGAR (Emission Database for Global Atmospheric Research) by Olivier (2005a, b) account for non-energy use emissions by applying crude assumptions, which might not always be correct.…”

Section: Introductionmentioning

confidence: 99%

“…The application of NEAT enabled the identification of major errors and data gaps regarding non-energy use emission estimates in the national GHG inventories of Germany, Italy, the Netherlands, and South Korea (Weiss et al 2008a;La Motta et al 2005;Neelis et al 2005a;Park 2005). NEAT, however, requires extensive information on the production and trade of chemicals as well as detailed insight into the structure of the chemical industry.…”

Section: Introductionmentioning

confidence: 99%

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Non-energy use of fossil fuels and resulting carbon dioxide emissions: bottom–up estimates for the world as a whole and for major developing countries

et al. 2009

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We present and apply a simple bottom–up model for estimating non-energy use of fossil fuels and resulting CO2 (carbon dioxide) emissions.We apply this model for the year 2000: (1) to the world as a whole, (2) to the aggregate of Annex I countries and non-Annex I countries, and (3) to the ten non-Annex I countries with the highest consumption of fossil fuels for non-energy purposes. We find that worldwide non-energy use is equivalent to 1,670 ± 120 Mt (megatonnes) CO2 and leads to 700 ± 90 Mt CO2 emissions. Around 75% of non-energy use emissions is related to industrial processes. The remainder is attributed to the emission source categories of solvent and other product use, agriculture, and waste. Annex I countries account for 51% (360 ± 50 Mt CO2) and non-Annex I countries for 49% (340 ± 70 Mt CO2) of worldwide non-energy use emissions. Among non-Annex I countries, China is by far the largest emitter of non-energy use emissions (122 ± 18 Mt CO2). Our research deepens the understanding of non-energy use and related CO2 emissions in countries for which detailed emission inventories do not yet exist. Despite existing model uncertainties, we recommend NEAT-SIMP to inventory experts for preparing correct and complete non-energy use emission estimates for any country in the world

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Section: Total Non-energy Usementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Non-energy use of fossil fuels and resulting carbon dioxide emissions: bottom–up estimates for the world as a whole and for major developing countries

et al. 2009

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“…We end with a discussion and some main conclusions and recommendations for future work. The application of the model for country studies of Korea, Italy and the Netherlands is described elsewhere in this special issue (Park, 2005;La Motta et al, 2005;Neelis et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Modelling CO2 emissions from non-energy use with the non-energy use emission accounting tables (NEAT) model

Neelis

Patel

Gielen

et al. 2005

Resources, Conservation and Recycling

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To contribute to a more accurate accounting of CO 2 emissions originating from the non-energy use of fossil fuels, the non-energy use emission accounting tables (NEAT) model has been developed. The model tracks the final fate of the carbon embodied in this non-energy use by means of a carbon flow analysis for the relevant sectors. The model generates estimates for total non-energy use, carbon storage in synthetic organic chemicals and CO 2 emissions resulting from non-energy use that are independent from energy statistics. This paper describes the basic methodology of the NEAT model. It is shown that the results obtained with the model can be used as an important addition to and crosscheck for the non-energy use emission accounting in official greenhouse gas (GHG) emission inventories prepared according to the guidelines of the Intergovernmental Panel on Climate Change (IPCC). The model can help to identify which definitions of non-energy use are applied in the energy statistics employed in national emission inventories and can help to improve national inventory methodologies based on this insight.

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“…Production technologies/processes have been developed for resource conservation and energy efficiency improvement. Feedstock use either by replacing the original feedstock with low value products or recycling of waste can be alternatives both in petroleum and petrochemical industries (Ahmad and Mutaz, 1991;Park, 2005;Ren and Patel, 2009). In addition to the feedstock, there will be large differences in energy consumption and CO 2 emission between different oil producing platforms or facilities (Furuholt, 1995).…”

Section: Introductionmentioning

confidence: 99%