Suchergebnisse

Ziel des Projektes "wissenschaftlich-methodische Grundlagen der Inventarverbesserung 2016/2017" ist eine Verbesserung der deutschen Emissionsinventare, dieser Teilbericht enthält die Erarbeitung von Grundlagen zur Berechnung von Black Carbon Emissionen. Kohlenstoffhaltige Partikel in der Atmosphäre bestehen nicht ausschließlich aus Kohlenstoff, ihre Zusammensetzung und Struktur hängt von ihrer Entstehung und ihrem Alterungsverlauf ab. Sie zeichnen sich durch bestimmte Eigenschaften (z. B. Schwärze oder chemische Stabilität) aus, je nach betrachteter Eigenschaft ergeben sich daraus Definitionen (Black Carbon, Elemental Carbon etc.) und Messmethoden. Nach einer Zusammenfassung gängiger Definitionen und Messmethoden wird ein Überblick gegeben über den aktuellen Stand der Emissionsberichtserstattung für Black Carbon von Deutschland und weiteren Ländern sowie über die Behandlung von Black Carbon in gängigen Emissionsdatenbanken und Chemie-Transport-Modellen. Messungen von Black Carbon und Messungen von Elemental Carbon sind nicht direkt vergleichbar, korrelieren auch untereinander nicht immer gut. Weil jedoch vielfach nur entweder Black Carbon oder nur Elemental Carbon Messungen vorliegen, werden sie häufig gleichgesetzt. Für die Cluster "Holzverbrennung in Kleinfeuerungsanlagen", "Energie und Industrie", "Straßenverkehr" und "Sonstiger Verkehr", die insgesamt über 90% zu den Black Carbon Emissionen in Deutschland beitragen, wurden detailliertere Literaturrecherchen durchgeführt. Als Ergebnis wurden für diese Cluster die Bandbreiten der gefundenen Black Carbon Emissionsfaktoren (wo vorhanden) oder Black Carbon Anteilswerte an Feinstaub vergleichend gegenübergestellt.

The purpose of the paper is to provide a clear mechanism for determining carbon emissions pricing in China as a guide to how carbon emissions might be mitigated to reduce fossil fuel pollution. The Chinese Government has promoted the development of clean energy, including hydroelectric power, wind power, and solar energy generation. In order to involve companies in carbon emissions control, a series of regional and provincial carbon markets have been established since 2013. Since China's carbon market was established in 2013 and mainly run domestically, and not necessarily using market principles, there has been almost no research on China's carbon price and volatility. This paper provides an introduction to China's regional and provincial carbon markets, proposes how to establish a national market for pricing carbon emissions, discusses how and when these markets might be established, how they might perform, and the subsequent prices for China's regional and national carbon markets. Power generation in manufacturing consumes more than other industries, with more than 40% of total coal consumption. Apart from manufacturing, the northern China heating system also relies on fossil fuels, mainly coal, which causes serious pollution. In order to understand the regional markets well, it is necessary to analyze the energy structure in these regions. Coal is the primary energy source in China, so that provinces that rely heavily on coal receive a greater number of carbon emissions permits from the Chinese Government. In order to establish a national carbon market for China, a detailed analysis of eight important regional markets will be presented. The four largest energy markets, namely Guangdong, Shanghai, Shenzhen and Hubei, traded around 82% of the total volume and 85% of the total value of the seven markets in 2017, as the industry structure of the western area is different from that of the eastern area. The China National Development and Reform Commission has proposed a national carbon market, which can attract investors and companies to participate in carbon emissions trading. This important issue will be investigated in the paper.

The purpose of the paper is to provide a clear mechanism for determining carbon emissions pricing in China as a guide to how carbon emissions might be mitigated to reduce fossil fuel pollution. The Chinese Government has promoted the development of clean energy, including hydroelectric power, wind power, and solar energy generation. In order to involve companies in carbon emissions control, a series of regional and provincial carbon markets have been established since 2013. Since China's carbon market was established in 2013 and mainly run domestically, and not necessarily using market principles, there has been almost no research on China's carbon price and volatility. This paper provides an introduction to China's regional and provincial carbon markets, proposes how to establish a national market for pricing carbon emissions, discusses how and when these markets might be established, how they might perform, and the subsequent prices for China's regional and national carbon markets. Power generation in manufacturing consumes more than other industries, with more than 40% of total coal consumption. Apart from manufacturing, the northern China heating system also relies on fossil fuels, mainly coal, which causes serious pollution. In order to understand the regional markets well, it is necessary to analyze the energy structure in these regions. Coal is the primary energy source in China, so that provinces that rely heavily on coal receive a greater number of carbon emissions permits from the Chinese Government. In order to establish a national carbon market for China, a detailed analysis of eight important regional markets will be presented. The four largest energy markets, namely Guangdong, Shanghai, Shenzhen and Hubei, traded around 82% of the total volume and 85% of the total value of the seven markets in 2017, as the industry structure of the western area is different from that of the eastern area. The China National Development and Reform Commission has proposed a national carbon market, which can attract investors and companies to participate in carbon emissions trading. This important issue will be investigated in the paper.

The purpose of the paper is to provide a clear mechanism for determining carbon emissions pricing in China as a guide to how carbon emissions might be mitigated to reduce fossil fuel pollution. The Chinese Government has promoted the development of clean energy, including hydroelectric power, wind power, and solar energy generation. In order to involve companies in carbon emissions control, a series of regional and provincial carbon markets have been established since 2013. Since China's carbon market was established in 2013 and mainly run domestically, and not necessarily using market principles, there has been almost no research on China's carbon price and volatility. This paper provides an introduction to China's regional and provincial carbon markets, proposes how to establish a national market for pricing carbon emissions, discusses how and when these markets might be established, how they might perform, and the subsequent prices for China's regional and national carbon markets. Power generation in manufacturing consumes more than other industries, with more than 40% of total coal consumption. Apart from manufacturing, the northern China heating system also relies on fossil fuels, mainly coal, which causes serious pollution. In order to understand the regional markets well, it is necessary to analyze the energy structure in these regions. Coal is the primary energy source in China, so that provinces that rely heavily on coal receive a greater number of carbon emissions permits from the Chinese Government. In order to establish a national carbon market for China, a detailed analysis of eight important regional markets will be presented. The four largest energy markets, namely Guangdong, Shanghai, Shenzhen and Hubei, traded around 82% of the total volume and 85% of the total value of the seven markets in 2017, as the industry structure of the western area is different from that of the eastern area. The China National Development and Reform Commission has proposed a national carbon market, which can attract ...

We examine the use of carbon taxes to reduce emissions of CO2 in China. To do so, we develop a dynamic computable general equilibrium (CGE) model of the Chinese economy. In addition to accounting for the effects of population growth, capital accumulation, technological change, and changing patterns of demand, we also incorporate into our model elements of the dual nature of China's economy where both plan and market institutions exist side by side. We conduct simulations in which carbon emissions are reduced by 5, 10, and 15 per cent from our baseline. After initial declines, in all of our simulations GDP and consumption rapidly exceed baseline levels as the revenue neutral carbon tax serves to transfer income from consumers to producers and then into increased investment. Although subject to a number of caveats, we find potential for what is in some sense a 'double dividend', a decrease in emissions of CO2 and a long run increase in GDP and consumption.

The anthropogenic emission of GHG especially CO has to be limited and reduced due to 2 their impact on global warming and climate change. Combustion of fossil fuels in the energy sector has a dominant share in total GHG emissions. In order to reduce GHG emission, European Union established a scheme for GHG allowance trading within the community, and the implementation of the European Union emission trading scheme, which is a key to GHG reduction in a cost-effective way. An important part of emission trading scheme is prescribed methodology for monitoring, reporting, and verification of the emission of GHG including characterization of the local fuels combusted by the energy sector. This paper presents lignite characteristics from open-pit mine Borovica- Pljevlja, which has highest coal production in Montenegro (>1.2 Mt per year), including evaluation of its carbon emission factor based on the laboratory analysis of 72 coal samples. Testing of the samples included proximate and ultimate analysis, as well as, net calorific value determination. In accordance with the obtained results, linear correlations between net calorific value and combustible matter content, carbon content and combustible matter content, hydrogen content and combustible matter content, carbon content and net calorific value, were established. Finally, the non-linear analytical correlation between carbon emission factor and net calorific value for Pljevlja lignite was proposed, as a base for the precise calculation of CO emission evaluation.