The role of CH4 and N2O emission reductions in the cost-effective control of the greenhouse gas emissions from Finland

The reduction of carbon dioxide (CO₂) emissions may be quite expensive and it is necessary to consider reduction measures for other anthropogenic greenhouse gases, such as methane (CH₄) and nitrous oxide (N₂O) as well. Their contribution to the total GHG emission from Finland is about 15–20%. In Finland most of the CH₄ emissions are due to waste management, agriculture and burning processes. N₂O emissions originate from burning processes, agriculture, industry and atmospheric deposition of nitrogen. The cost-effective reduction of the Finnish GHG emissions has been studied with the EFOM-ENV model, which is a quasi-dynamic linear energy system optimisation model. The target function to be minimised is the total discounted cost for the modelled system. In this study the model has been expanded to cover all well-known anthropogenic CO₂, CH₄ and N₂O sources and reduction measures. The results indicate it is economic to reduce the emissions of CO₂, CH₄ and N₂O in Finland. It is profitable to exploit the economic reduction potential of CH₄ and N₂O, because then the abatement of CO₂ emissions does not need to be as extensive as when the reduction is aimed only at CO₂ emissions. The inclusion of CH₄ and N₂O decreases the annual reduction costs about 20% in the year 2010.     

The analysis of greenhouse gas emissions/reductions in waste sector in Vietnam

The global waste sector produces, on average, 2–5 % of global anthropogenic greenhouse gas (GHG) emissions. The amount of GHG emissions has grown steadily and is predicted to increase considerable in the forthcoming decades because of the increases in population and gross domestic product (GDP). However, the GHG mitigation opportunities for the sector are still fully not exploited, in particularly in developing countries. A series of initiatives were highly successful and showed that large reductions in emissions are possible. This study aims to propose a holistic quantification model, which can be used for estimation of waste generation and evaluation of the potential reduction of GHG emissions in waste sector for developing countries with a particular application to Vietnam. The two scenarios set for the study were business as usual (BaU) which waste management is assumed to follow past and current trends and CounterMeasure (CM) which alternative waste treatment and management are assessed. Total emissions in the BaU scenario are projected to increase from 29.47 MtCO₂eq in 2010 to 85.60 MtCO₂eq by 2030 and 176.32 MtCO₂eq by 2050. The highest emissions are due to methane (CH₄) released by disposal sites, accounting for about 60 % of the GHG emissions from waste in Vietnam in 2030. This emission is projected to increase significantly (67 % in 2050), unless more of the methane is captured and used for energy generation. The CM scenario gives emission reductions from 25.7 % (2020), 40.5 % (2030) to 56.6 % (2050) compared to the BaU scenario. The highest GHG reduction is achieved through recycling, followed by methane recovery to optimize the co-benefit for climate change mitigation.     

No-policy greenhouse gas emission scenarios: revisiting IPCC 1992

A new set of no-policy global greenhouse gas (GHG) emission scenarios was developed using the atmospheric stabilization framework, the same modeling tool that was used to generate the IS92 emission scenarios for the Intergovernmental Panel on Climate Change. Revised assumptions about population and economic growth, combined with updated information on changes in renewable energy supply, the efficiency of energy generation and other factors resulted in changes in GHG emission profiles over the next century, which led to an increase in the estimated global average temperature change as compared to the IS92 scenarios. Model results indicate that the largest increase in emissions, which led to a temperature increase of about 3.4°C by 2100 (relative to 1990), can be expected when a rapid increase in the GNP per capita levels of the non-OECD countries is combined with a low availability of solar/wind and biomass energy resources and slow energy efficiency improvements. The smallest increase in emissions and temperature by 2100 (about 2.5°C) occurred when a relatively slow increase in the GNP per capita in the non-OECD countries was combined with a high availability of renewable energy resources and rapid energy efficiency improvements.     

Forgotten carbon: indirect CO2 in greenhouse gas emission inventories

National governments that are Parties to the United Nations Framework Convention on Climate Change (UNFCCC) are required to submit greenhouse gas (GHG) inventories accounting for the emissions and removals occurring within their geographic territories. The Intergovernmental Panel on Climate Change (IPCC) provides inventory methodology guidance to the Parties of the UNFCCC. This methodology guidance, and national inventories based on it, omits carbon dioxide (CO₂) from the atmospheric oxidation of methane, carbon monoxide, and non-methane volatile organic compounds emissions that result from several source categories. The inclusion of this category of “indirect” CO₂ in GHG inventories increases global anthropogenic emissions (excluding land use and forestry) between 0.5 and 0.7%. However, the effect of inclusion on aggregate UNFCCC Annex I Party GHG emissions would be to reduce the growth of total emissions, from 1990 to 2004, by 0.2% points. The effect on the GHG emissions and emission trends of individual countries varies. The paper includes a methodology for calculating these emissions and discusses uncertainties. Indirect CO₂ is equally relevant for GHG inventories at other scales, such as global, regional, organizational, and facility. Similarly, project-based methodologies, such as those used under the Clean Development Mechanism, may need revising to account for indirect CO₂.     

Learning in greenhouse gas emission inventories in terms of uncertainty improvement over time

Mitigation and Adaptation Strategies for Global Change - This paper addresses the problem of learning in greenhouse gas (GHG) emission inventories understood as reductions in uncertainty, i.e.,...     

Stepwise multiple regression method of greenhouse gas emission modeling in the energy sector in Poland

The energy sector in Poland is the source of 81% of greenhouse gas (GHG) emissions. Poland, among other European Union countries, occupies a leading position with regard to coal consumption. Polish energy sector actively participates in efforts to reduce GHG emissions to the atmosphere, through a gradual decrease of the share of coal in the fuel mix and development of renewable energy sources. All evidence which completes the knowledge about issues related to GHG emissions is a valuable source of information. The article presents the results of modeling of GHG emissions which are generated by the energy sector in Poland. For a better understanding of the quantitative relationship between total consumption of primary energy and greenhouse gas emission, multiple stepwise regression model was applied. The modeling results of CO₂ emissions demonstrate a high relationship (0.97) with the hard coal consumption variable. Adjustment coefficient of the model to actual data is high and equal to 95%. The backward step regression model, in the case of CH₄ emission, indicated the presence of hard coal (0.66), peat and fuel wood (0.34), solid waste fuels, as well as other sources (− 0.64) as the most important variables. The adjusted coefficient is suitable and equals R² = 0.90. For N₂O emission modeling the obtained coefficient of determination is low and equal to 43%. A significant variable influencing the amount of N₂O emission is the peat and wood fuel consumption.     

Exploring the assumed invariance of implied emission factors for forest biomass in greenhouse gas inventories

Reviews of each nation's annual greenhouse gas inventory submissions including forestland are part of the ongoing reporting process of the United Nations Framework Convention on Climate Change. Goals of these reviews include improving quality and consistency within and among reports. One method of facilitating comparisons is the use of a standard index such as an implied emission factor (IEF), which for forest biomass indicates net rate of carbon emission or sequestration per area. Guidance on the use of IEFs in reviews is limited, but there is an expectation that values should be relatively constant both over time and across spatial scales. To address this hypothesis, we examine IEFs over time, derived from U.S. forests at plot-, state-, and national-levels. Results show that at increasingly aggregated levels, relative heterogeneity decreases but can still be substantial. A net increase in U.S. whole-forest IEFs over time is consistent with results from temperate forests of nations in the European Community. IEFs are better viewed as a distribution of values rather than one constant value principally because of sensitivities to productivity, disturbance, and land use change, which can all vary considerably across a nation's forest land.     

Optimising the environmental benefits of emission reductions from UK coal- and oil-fired power stations: a critical loads approach

This paper describes a method for determining reductions of SO₂ emissions from coal- and oil-fired power stations, oil refineries and large industrial units in the UK taking into account their pollution potential. The method is based on the use of two gridded data sets: critical loads, which represent the sensitivity of the environment to acid deposition and modelled estimates of total (wet + dry) sulphur deposition for 646 point sources within the UK. An iterative method is used to identify and subsequently reduce emissions from point sources that contribute most to areas of critical loads exceedance. This paper demonstrates how the method may be used to determine an optimal allocation of emissions across the UK which yields the maximum amount of environmental protection per unit of emission.The paper then goes on to consider the changes that will have to take place within the UK power generation industry in order to meet the revised EC Large Combustion Plant Directive which comes into force on 1 January 2008. Particular emphasis is placed upon proposed emissions trading schemes and the environmental implications of allowing trading between stations with high and low pollution potentials. The paper concludes by suggesting that the emissions trading process should take into account the pollution potential of each source, irrespective of whether the proposed emission is within the plant's agreed emission limit. An approach based entirely on minimizing environmental damage rather than one which takes cost into account, as in current integrated assessment modelling, could provide an interesting approach across the rest of Europe.     

Setting greenhouse gas emission targets under baseline uncertainty: the Bush Climate Change Initiative

There is substantial uncertainty regarding baseline greenhouse gas (GHG) emissions forecasts—i.e., how GHG emissions will grow over time in the absence of policy intervention. Thus baseline uncertainty should be a key consideration in setting GHG emissions targets as a mitigation strategy to respond to global climate change. At a minimum, the emissions target must be less than the baseline level to induce changing behavior and new investment. Despite this fundamental policy criterion, baseline considerations have played only a minor role in target setting under international climate policy. Baseline uncertainty applies to both absolute and intensity based emissions targets. It is demonstrated that one advantage of intensity targets is reduced uncertainty in the projected baseline, however there will always be some residual uncertainty in model projections. To illustrate the importance of considering baseline uncertainty in GHG target setting, the Bush Climate Change Initiative is analyzed against its projected baseline as a case study of a modest intensity target. Based on comparison with historical data, the range of projections by major energy-economic models, past discrepancies in the accuracy of model projections and the added complexity of sector-specific drivers for non-CO₂ GHGs, it is shown that the Bush Initiative cannot be guaranteed or even expected to deliver actual reductions against an uncertain baseline. This finding emphasizes the importance of setting a target that accounts for baseline uncertainty to achieve genuine mitigation of GHG emissions.

Lessons learnt from a participatory integrated assessment of greenhouse gas emission reduction options in firms

This article discusses an approach for identification and evaluation of short-term greenhouse gas (GHG) emission reduction options in firms. The approach is based on lessons learnt from a project using Participatory Integrated Assessment (PIA) and builds on the idea that effective public climate policy for firms requires options that have support from stakeholders and are practically feasible. Scenarios are used to provide a link with short-term policy developments and a model assists to communicate quantitative effects of options to participating stakeholders. Our approach can be seen as a first step towards a framework that meets the need for more systematic approaches to PIAs identifying effective public policies for short-term GHG emission reduction options in firms. In order to identify effective options for non-carbon dioxide GHG emission reductions, our approach has been applied to Dutch dairy farms, after which it has been refined. The case study suggests that our approach can provide balance between practical, context specific issues and scientific-theoretical aspects, thereby avoiding common pitfalls of participatory research projects to focus too much on either theory or practical issues.

城市固体废弃物管理系统温室气体排放核算研究综述

城市固体废弃物管理系统是产生温室气体的一个不可忽视的排放源。随着社会经济的快速发展和城市化水平的提高,城市固体废弃物排放量逐年增多,如何准确地核算城市固体废弃物管理系统温室气体排放已成为国内外关注的热点问题之一。本文概述了城市固体废弃物管理系统的演进与优化研究进展,重点对城市固体废弃物管理系统温室气体排放核算规范和标准及其影响因素的研究进行了综述,指出了研究中存在的问题。并进一步建议今后在城市不同类别的固体废弃物管理系统演进过程及其影响、温室气体排放的核算方法、温室气体排放的校正系数、城市固体废弃物管理系统的优化模式及温室气体减排机制等方面加强研究。     

Baseline options and greenhouse gas emission reduction of clean development mechanism project in urban solid waste management

The Clean Development Mechanism (CDM) was adopted in the Kyoto Protocol as a flexibility mechanism to reduce greenhouse gases (GHGs) and has been started with such projects as improving efficiency of individual technology. Although applying various countermeasures to urban areas has significant potentials for reducing GHGs, these countermeasures have not been proposed as CDM projects in the practical stage. A CDM project needs to be validated that it will reduce GHGs additionally compared with a baseline, that is, a predictive value of GHG emissions in the absence of the project. This study examined the introduction of solid waste incineration with electricity generation into three different cities, A, B and C. The combination of main solid waste treatment and fuel source are landfill and coal, respectively, in City A, incineration and natural gas in City B, and landfill and hydro in City C. GHG emission reductions of each city under several baseline options assumed here were evaluated. Even if the same technology is introduced, the emission reduction greatly varies according to the current condition and the future plan of the city: 1043–1406 kg CO₂/t of waste in City A, 198–580 kg CO₂/t in City B, and wide range of zero to over 1000 kg CO₂/tin City C. Baseline options also cause significant difference in the emission reduction even in the same city (City C). Incinerating solid waste after removing plastics by source separation in City B increased GHG emission reduction potential up to 730–900 kg CO₂/t, which enhances the effectiveness as a CDM project. This revised version was published online in August 2006 with corrections to the Cover Date.     

Palm oil and the emission of carbon-based greenhouse gases

The current use of South Asian palm oil as biofuel is far from climate neutral. Dependent on assumptions, losses of biogenic carbon associated with ecosystems, emission of CO₂ due to the use of fossil fuels and the anaerobic conversion of palm oil mill effluent currently correspond in South Asia with an emission of about 2.8–19.7 kg CO₂ equivalent per kg of palm oil. Using oil palm and palm oil processing wastes for the generation of energy and preventing further conversion of tropical forest into oil palm plantations by establishing new plantations on non-peaty degraded soils can, however, lead to large cuts in the emission of carbon-based greenhouse gases currently associated with the palm oil lifecycle.     

Economic and health benefits of the co-reduction of air pollutants and greenhouse gases

This study examines the monetary value of social costs—private costs and negative externalities—that could be avoided by energy conservation actions. A novel Air Resource Co-Benefits (ARCoB) model has been developed in this study to assess the comprehensive social benefits of greenhouse gas GHG mitigation policy. The rollback model is used to estimate changes in air pollutant concentrations attributed to the emission reductions. Change in ozone concentration is converted from non-methane hydrocarbons based on the maximum ozone increment reactivity. In addition to saved medical expenditure, years of potential life lost (YPLL) is estimated based on the exposure-response coefficients for mortality and is calculated with abridged life table. Two cases of energy efficiency improvement in different scales are analyzed to estimate the annual co-benefits of abatements of air pollutants and greenhouse gas in 2009: 1) the energy intensity reduction in the industrial sector and 2) energy saving at Taipei Taiwan City Hall. Results indicate the saved energy cost accounted for 66 % and 70 % in the first and second case, respectively, and was a major part of the total benefit from energy conservation. The saved air pollution fee was 7.8–8.5 times lower than the averted health cost of medical expenditure, which was US$10.34 million in the first case, in which there were also averted YPLL of 3,478 person-years or averted deaths of 311 persons per year.     

Improving the quality of national greenhouse gas inventories

This paper summarises the findings of an Intergovernmental Panel on Climate Change (IPCC) Expert Meeting on Methods for the Assessment of Inventory Data Quality held in Bilthoven, The Netherlands, 5–7 November 1997. Under the Kyoto Protocol of the Climate Convention, reliable inventories of national greenhouse gases (GHG) are needed for verifying compliance. Four approaches are suggested for assessing and improving the quality of greenhouse gas inventories: inventory quality assurance; inventory comparisons; model comparisons; and direct emission measurements. The paper presents recommendations for improving the quality of emission estimates of carbon dioxide (CO₂), methane (CH₄), and nitrous oxide (N₂O).     

Interregional burden-sharing of greenhouse gas mitigation in the United States

Emissions trading is anattractive candidate for implementinggreenhouse gas mitigation, because it canpromote both efficiency and equity. Thispaper analyzes the interregional impacts ofalternative allocations of carbon dioxideemission permits within the U.S. Theanalysis is performed with the aid of anonlinear programming model for ten EPARegions and for six alternative permitdistribution formulas. The reason thatvarious alternatives need to be consideredis that there is no universal consensus onthe best definition of equity. Advanceknowledge of absolute and relative regionaleconomic impacts provides policy-makerswith a stronger basis for making thechoice. The analysis yields several usefulresults. First, the simulations indicatethat no matter how permits are allocated,this policy instrument can substantiallyreduce the cost of GHG mitigation for theU.S. in comparison to a system of fixedquotas for each of its regions. Interestingly, the welfare impacts ofseveral of the allocation formulas differonly slightly despite the large differencesin their philosophical underpinnings. Also, the results for some equity criteriadiffer greatly from their application inthe international domain. For example, theEgalitarian (per capita) criterion resultsin the relatively greatest cost burdenbeing incurred by one of the regions of theU.S. with the lowest per capita income.     

High-resolution spatial distribution of greenhouse gas emissions in the residential sector

The development of high-resolution greenhouse gas (GHG) inventories is an important step towards emission reduction in different sectors. However, most of the spatially explicit approaches that have been developed to date produce outputs at a coarse resolution or do not disaggregate the data by sector. In this study, we present a methodology for assessing GHG emissions from the residential sector by settlements at a fine spatial resolution. In many countries, statistical data about fossil fuel consumption is only available at the regional or country levels. For this reason, we assess energy demand for cooking and water and space heating for each settlement, which we use as a proxy to disaggregate regional fossil fuel consumption data. As energy demand for space heating depends heavily on climatic conditions, we use the heating degree day method to account for this phenomenon. We also take the availability of energy sources and differences in consumption patterns between urban and rural areas into account. Based on the disaggregated data, we assess GHG emissions at the settlement level using country and regional specific coefficients for Poland and Ukraine, two neighboring countries with different energy usage patterns. In addition, we estimate uncertainties in the results using a Monte Carlo method, which takes uncertainties in the statistical data, calorific values, and emission factors into account. We use detailed data on natural gas consumption in Poland and biomass consumption for several regions in Ukraine to validate our approach. We also compare our results to data from the EDGAR (Emissions Database for Global Atmospheric Research), which shows high agreement in places but also demonstrates the advantage of a higher resolution GHG inventory. Overall, the results show that the approach developed here is universal and can be applied to other countries using their statistical information.

     

Full accounting of the greenhouse gas budget in the forestry of China

Forest management to increase carbon (C) sinks and reduce C emissions and forest resource utilization to store C and substitute for fossil fuel have been identified as attractive mitigation strategies. However, the greenhouse gas (GHG) budget of carbon pools and sinks in China are not fully understood, and the forestry net C sink must be determined. The objective of this study was to analyze potential forest management mitigation strategies by evaluating the GHG emissions from forest management and resource utilization and clarify the forestry net C sink, and its driving factors in China via constructing C accounting and net mitigation of forestry methodology. The results indicated that the GHG emissions under forest management and resource utilization were 17.7 Tg Ce/year and offset 8.5% of biomass and products C sink and GHG mitigation from substitution effects from 2000 to 2014, resulting in a net C sink of 189.8 Tg Ce/year. Forest resource utilization contributed the most to the national forestry GHG emissions, whereas the main driving factor underlying regional GHG emissions varied. Afforestation dominated the GHG emissions in the southwest and northwest, whereas resource utilization contributed the most to GHG emissions in the north, northeast, east, and south. Furthermore, decreased wood production, improved product use efficiency, and forests developed for bioenergy represented important mitigation strategies and should be targeted implementation in different regions. Our study provided a forestry C accounting in China and indicated that simulations of these activities could provide novel insights for mitigation strategies and have implications for forest management in other countries.     

A high-definition spatially explicit modelling approach for national greenhouse gas emissions from industrial processes: reducing the errors and uncertainties in global emission modelling

Mitigation and Adaptation Strategies for Global Change - Industrial processes cause significant emissions of greenhouse gases (GHGs) to the atmosphere and, therefore, have high mitigation and...