Greenhouse gas emission and its potential mitigation process from the waste sector in a large-scale exhibition

As one of the largest human activities, World Expo is an important source of anthropogenic Greenhouse Gas emission (GHG), and the GHG emission and other environmental impacts of the Expo Shanghai 2010, where around 59,397 tons of waste was generated during 184 Expo running days, were assessed by life cycle assessment (LCA). Two scenarios, i.e., the actual and expected figures of the waste sector, were assessed and compared, and 124.01 kg CO₂-equivalent (CO₂-eq.), 4.43 kg SO₂-eq., 4.88 kg NO₃⁻-eq., and 3509 m³ water per ton tourist waste were found to be released in terms of global warming (GW), acidification (AC), nutrient enrichment (NE) and spoiled groundwater resources (SGWR), respectively. The total GHG emission was around 3499 ton CO₂-eq. from the waste sector in Expo Park, among which 86.47% was generated during the waste landfilling at the rate of 107.24 kg CO₂-eq., and CH₄, CO and other hydrocarbons (HC) were the main contributors. If the waste sorting process had been implemented according to the plan scenario, around 497 ton CO₂-eq. savings could have been attained. Unlike municipal solid waste, with more organic matter content, an incineration plant is more suitable for tourist waste disposal due to its high heating value, from the GHG reduction perspective.     

Quantifying and managing regional greenhouse gas emissions：Waste sector of Daejeon, Korea

A credible accounting of national and regional inventories for the greenhouse gas （GHG） reduction has emerged as one of the most significant current discussions. This article assessed the regional GHG emissions by three categories of the waste sector in Daejeon Metropolitan City （DMC）, Korea, examined the potential for DMC to reduce GHG emission, and discussed the methodology modified from Intergovernmental Panel on Climate Change and Korea national guidelines. During the last five years, DMC＇s overall GHG emissions were 239 thousand tons C02 eq./year from eleven public environmental infrastructure facilities, with a population of 1.52 million. Of the three categories, solid waste treatment/disposal contributes 68%, whilst wastewater treatment and others contribute 22% and 10% respectively. Among GHG unit emissions per ton of waste treatment, the biggest contributor was waste incineration of 694 kg CO2 eq./ton, followed by waste disposal of 483 kg CO2 eq./ton, biological treatment of solid waste of 209 kg CO2 eq./ton, wastewater treatment of 0.241 kg CO2 eq./m3, and public water supplies of 0.067 kg CO2 eq./m3. Furthermore, it is suggested that the potential in reducing GHG emissions from landfill process can be as high as 47.5% by increasing landfill gas recovery up to 50%. Therefore, it is apparent that reduction strategies for the main contributors of GHG emissions should take precedence over minor contributors and lead to the best practice for managing GHGs abatement.     

湖北省畜禽粪便温室气体减排潜力分析

畜禽粪便是农业温室气体的重要排放源.合理的粪便管理方式可有效降低温室气体排放,同时减少环境污染.为明确不同养殖模式下适宜的粪便管理方式对温室气体减排的有效性,以湖北省为案例地,针对不同畜禽的粪便特征、区域自然条件和畜禽养殖模式等,筛选适宜的粪便管理方式;运用政府间气候变化专门委员会提出的畜禽粪便温室气体排放因子测算模型,在优化管理方式的基础上进行排放因子预测,估算由粪便管理方式改进所带来的减排潜力.结果表明,粪便管理经优化后畜禽粪便温室气体排放减少1.98~357.82 kg·头-1·a-1(以CO2当量计).根据养殖规模发展趋势预测,至2020年全省畜禽粪便优化管理所带来的减排潜力可达322.78万t(以CO2当量计).不同地区间减排效果则与当地养殖规模、养殖结构、养殖模式及适宜的畜禽粪便管理方式密切相关;畜禽种类间粪便特性的不同是其CH4和N2O减排效率迥异的主要原因;规模化养殖粪便管理方式优化是实现区域温室气体减排的重点.结合区域自然条件和畜禽养殖特征等,筛选适宜的粪便管理方式是实现区域温室气体减排的有效措施.     

Greenhouse gas mitigation and offset options for suckler cow farms: an economic comparison for the Swiss case

We assessed the economic suitability of 4 greenhouse gas (GHG) mitigation options and one GHG offset option for an improvement of the GHG balance of a representative Swiss suckler cow farm housing 35 Livestock units and cultivating 25 ha grassland. GHG emissions per kilogram meat in the economic optimum differ between the production systems and range from 18 to 21.9 kg CO₂-eq./kg meat. Only GHG offset by agroforestry systems showed the potential to significantly reduce these emissions. Depending on the production system agroforestry systems could reduce net GHG emissions by 66% to 7.3 kg CO₂-eq./kg meat in the most intensive system and by 100% in the most extensive system. In this calculation a carbon sequestration rate of 8 t CO₂/ha/year was assumed. The potential of a combination of the addition of lipids to the diet, a cover of the slurry tank and the application of nitrification inhibitors only had the potential to reduce GHG emissions by 12% thereby marginal abatement costs are increasing much faster than for agroforestry systems. A reduction of the GHG emissions to 7.5 kg CO₂-eq./kg meat—possible with agroforestry only—raised costs between 0.03 CHF/kg meat and 0.38 CHF/kg meat depending on the production system and the state of the system before the reduction. If GHG emissions were reduced maximally average costs ranged between 0.37 CHF/kg meat, if agroforestry had the potential to reduce net GHG emissions to 0 kg CO₂-eq., to 1.17 CHF/kg meat if also other options had to be applied.     

Greenhouse gas emissions from production and use of used cooking oil methyl ester as transport fuel in Thailand

Biodiesel, produced from various vegetable and/or animal oils, is one of the most promising alternative fuels for transportation in Thailand. Currently, the waste oils after use in cooking are not disposed adequately. Such oils could serve as a feedstock for biodiesel which would also address the waste disposal issue. This study compares the life cycle greenhouse gas (GHG) emissions from used cooking oil methyl ester (UCOME) and conventional diesel used in transport. The functional unit (FU) is 100 km transportation by light duty diesel vehicle (LDDV) under identical driving conditions. Life cycle GHG emissions from conventional diesel are about 32.57 kg CO₂-eq/FU whereas those from UCOME are 2.35 kg CO₂-eq/FU. The GHG emissions from the life cycle of UCOME are 93% less than those of conventional diesel production and use. Hence, a fuel switch from conventional diesel to UCOME will contribute greatly to a reduction in global warming potential. This will also support the Thai Government's policy to promote the use of indigenous and renewable sources for transportation fuels.     

Characteristics of greenhouse gas emission in three full-scale wastewater treatment processes

Three full-scale wastewater treatment processes, Orbal oxidation ditch, anoxic/anaerobic/aerobic （reversed A^2O） and anaerobic/anoxic/aerobic （A^2O）, were selected to investigate the emission characteristics of greenhouse gases （GHG）, including carbon dioxide （CO2）, methane （CH4） and nitrous oxide （N2O）. Results showed that although the processes were different, the units presenting high GHG emission fluxes were remarkably similar, namely the highest CO2 and N2O emission fluxes occurred in the aerobic areas, and the highest CH4 emission fluxes occurred in the grit tanks. The GHG emission amount of each unit can be calculated from its area and GHG emission flux. The calculation results revealed that the maximum emission amounts of CO2, CH4 and N2O in the three wastewater treatment processes appeared in the aerobic areas in all cases. Theoretically, CH4 should be produced in anaerobic conditions, rather than aerobic conditions. However, results in this study showed that the CH4 emission fluxes in the forepart of the aerobic area were distinctly higher than in the anaerobic area. The situation for N2O was similar to that of CH4： the N2O emission flux in the aerobic area was also higher than that in the anoxic area. Through analysis of the GHG mass balance, it was found that the flow of dissolved GHG in the wastewater treatment processes and aerators may be the main reason for this phenomenon. Based on the monitoring and calculation results, GHG emission factors for the three wastewater treatment processes were determined. The A^2O process had the highest CO2 emission factor of 319.3 g CO2/kg CODremoved, and the highest CH4 and N2O emission factors of 3.3 g CH4/kg CODremoved and 3.6 g N2O/kg TNremoved were observed in the Orbal oxidation ditch process.     

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.     

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.     

垃圾分类对碳减排的影响分析：以青岛市为例

城市生活垃圾(MSW)处理单元是重要的温室气体排放源,垃圾分类可以实现垃圾减量化和提高资源化利用率,但对于温室气体减排的影响还鲜见报道.以青岛市内4区为研究对象,基于生命周期评价方法,研究了垃圾分类前后不同生活垃圾处置模式下的温室气体排放情况.结果表明,垃圾分类可以显著降低处置全过程中的温室气体排放,模式1(混合收集+填埋)、模式2(混合收集+焚烧)、模式3(垃圾分类+厨余垃圾厌氧消化和其他焚烧)和模式4(垃圾分类+厨余垃圾厌氧消化、可回收垃圾资源化和其他焚烧)垃圾处理全过程净碳排放量(以CO₂/MSW计)分别为686.39、-130.12、-61.88和-230.17 kg·t^-1.提高厨余垃圾回收效率并不能显著降低碳排放.随着垃圾回收效率的提高,碳减排量呈线性增加,可回收垃圾回收效率每提高10%,其净碳排放量降低26.6%(16.5 kg·t^-1).适度分离餐厨垃圾、提高可回收垃圾回收效率和降低厨余垃圾厌氧消化沼气泄漏率是目前减少生活垃圾温室气体排放和社会成本的可行策略.     

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.     

Carbon mitigation potential of Indian steel industry

Steel dominates the global metal production accounting for 5 % of increase in Earth’s atmospheric carbon dioxide (CO₂). Today, India is the 4th largest producer of crude steel in the world. The sector contributes around 3 % to the country’s gross domestic product (GDP) but adds 6.2 % to the national greenhouse gas (GHG) load. It accounts for 28.4% of the entire industry sector emissions, which are 23.9% of the country’s total emissions. Being a developing country, India is not obliged to cut its emissions under the Kyoto Protocol to the United Nations Framework Convention on Climate Change (FCCC), but gave voluntary commitment to reduce the emission intensity of its GDP by 20–25 % from the 2005 level by 2020. This paper attempts to find out if the Indian steel sector can help the country in fulfilling this commitment. The sector reduced its CO₂ emissions per ton of steel produced by 58% from 1994 to 2007. The study generates six scenarios for future projections which show that the sector can reduce its emission intensity by 12.5 % to 63 %. But going by the conservative estimates, the sector can reduce emission intensity by 30 % to 53 %. However, actual emissions will go up significantly in every case.     

城市废弃物处理温室气体排放研究:以厦门市为例

城市废弃物处理是城市人为活动产生温室气体的来源之一.参考IPCC国家温室气体清单指南2006推荐的方法建立了厦门市废弃物处理的温室气体排放计算模型,对厦门市2005～2010年废弃物处理的温室气体排放情况进行了估算,包括固体废弃物填埋、焚烧以及污水处理等过程.结果表明,2005年温室气体总排放量折合二氧化碳当量(CO2e)为406.3 kt,2010年温室气体总排放量(以CO2e计)达到704.6 kt,随着废水处理工艺的提高和城市生活垃圾量的迅速增长,主要排放源由废水处理转变为固体废弃物填埋.2005年填埋产生的温室气体排放占固体废弃物处理排放量的90%左右,2010年所占比例下降到75%.厦门市废水处理温室气体排放量2007年最高,以CO2e计达到325.5 kt,化学原料及化学品制造业从2005～2010年一直是厦门市CH4排放量最高的产业,占工业废水处理CH4排放总量的55%以上.     

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.     

我国生活垃圾焚烧发电过程中温室气体排放及影响因素 ——以上海某城市生活垃圾焚烧发电厂为例

以上海某城市生活垃圾焚烧发电厂为例,采用上游-操作-下游(UOD)表格法,分析了生活垃圾焚烧发电过程中不同环节的温室气体排放贡献,及影响其排放的主要因素.结果表明,目前我国生活垃圾焚烧发电过程是温室气体排放源,以吨垃圾净CO2排放量计,达166~212kg.生活垃圾中自含化石碳对温室气体排放的贡献最大,CO2排放量为257kg/t;因焚烧发电上网而获得的净减排量为120kg/t;垃圾收运、辅助物料消耗及焚烧灰渣处理等引起的排放量总计为27~45kg/t.生活垃圾沥出渗滤液后续处理过程的温室气体排放量为7.7kg/t.节省焚烧过程辅助物料使用和改变焚烧灰渣处置方式能够减少温室气体排放量,但是减排效果有限.我国各地区电能基准线排放因子存在差异,对焚烧过程温室气体排放的影响为0~13%.降低生活垃圾含水率、提高垃圾可发电量是我国生活垃圾焚烧发电过程温室气体排放源汇转换的关键途径.     

菌渣-发酵床废弃垫料堆肥中温室气体排放及与微生物的关系

堆肥是处理农业废弃物最适宜的技术之一,但堆肥产生的有害和温室气体排放导致环境污染问题.本研究以生猪养殖发酵床废弃垫料及菌渣为原料,利用强制通风静态堆肥技术研究垫料和菌渣不同配比及添加EM菌剂对堆肥过程温室气体排放和微生物区系的影响.结果表明,不同堆肥处理温室气体排放通量以堆肥前20 d较大,堆肥中后期降低;微生物总量和种类在不同堆肥处理间没有发生显著性变化;CO_2和N_2O排放速率与细菌、真菌和甲烷氧化菌间具有显著的正相关关系.整个堆肥期间,以菌渣为主料并添加EM菌剂的堆肥处理温室气体减排效果最佳,相对其他3个处理温室气体减排0.7%~10.2%.由此认为,以菌渣为主料和通过添加EM菌剂的堆肥方式可以作为降低菌渣-发酵床废弃垫料堆肥过程温室气体排放的策略.     

基于投入产出法的北京能源消耗温室气体排放清单分析

城市是一个巨大能源物资消耗体和温室气体排放体,相关研究受到广泛关注.本文以2007年为例基于投入产出法研究北京市能源消耗的温室气体排放量,计算得出CH4和N2O这两种常规温室气体排放量.结果表明,北京市2007年能源消耗温室气体排放量为3531.72万tCO2当量,其中CO2排放量为3514.40万t,CH4排放量为1734.32t,N2O排放量为435.83t.北京市工业部门仍然是主要的温室气体排放部门,其排放的温室气体占CO2总量的98.96%,CH4总量的88.48%和N2O总量的98.99%.不同最终使用部门中,政府部门消费产生的温室气体排放量超过总量的15%,高于城镇消费和农村消费之和;调出和出口部门的碳排放量超过总量的40%,所占比例最大.贸易中,隐含在调出和出口部门中温室气体排放量是隐含在调入和进口部门的十几倍.北京市不同行业的温室气体排放强度略优于全国水平.降低北京市温室气体排放量可从进一步优化产业结构,发挥科技减排的作用,提高不同产业的能源利用率等方面采取措施.     

我国城市生活垃圾处理温室气体排放特征

CH₄和CO₂是大气中主要的温室气体,研究我国城市生活垃圾处理过程中二者的排放情况,对制订温室气体减排政策和应对气候变化有着至关重要的意义. 利用IPCC(政府间气候变化专门委员会)提供的废弃物处理排放CH₄和CO₂的计算方法,对1979—2011年我国城市生活垃圾处理CH₄和CO₂排放量(不含港澳台数据)进行统计分析. 结果表明:①2011年我国城市生活垃圾人均清运量为0.46 t,比2000年增加了53.3%. ②1979—2011年,我国城市生活垃圾处理仍以填埋为主,焚烧和堆肥处理方式相对较少,但近年来焚烧处理量呈逐年增加趋势,其中2011年焚烧处理量是2001年的16.8倍. ③我国城市生活垃圾处理产生的CH₄和CO₂排放量均呈逐年增长趋势,至2011年,二者分别达到7 024.03×104 (以CO₂当量计,下同)和706.22×104 t;其中,2011年CH₄排放量是1990年的20.0倍,CO₂排放量是2001年的16.8倍. ④城市生活垃圾产生的温室气体排放具有明显的地域特性,其中华东地区CH₄和CO₂排放总量高达2 570.98×104 t;西北地区最小,仅为482.3×104 t. 该差异与城市发展规模、人们生活习惯和城市化进程等影响因子紧密相关.      

Project-Based Emissions Trading: The Impact of Institutional Arrangements on Cost-Effectiveness

In this paper we demonstrate that the institutionalarrangement (or: design) of Joint Implementation (JI) and the CleanDevelopment Mechanism (CDM) has a decisive impact on theircost-effectiveness. We illustrate our arguments by statistically analyzing thecosts from 94 Activities Implemented Jointly (AIJ) pilot phase projects aswell as by adjusting these data on the basis of simple mathematicalformulas. These calculations explicitly take into account the institutionaldifferences between JI (sinks, no banking) and the CDM (banking, no sinks)under the Kyoto Protocol and also show the possible effects on credit costsof alternative design options. However, our numerical illustrations shouldbe viewed with caution, because AIJ is only to a limited extentrepresentative of potential future JI and CDM projects and because creditcosts are not credit prices. Some of the main figures found in this study are:an average cost figure per unit of emission reduction for AIJ projects of 46dollar per ton of carbon dioxide equivalent ($/Mg CO₂-eq), anaverage potential JI credit cost figure which is lowered to 37$/Mg CO₂-eq by introducing banking and an average of 6$/Mg CO₂-eq per credit for potential low-cost CDM projects whichincludes sinks. However, at CoP6 in November 2000 in The Hague (TheNetherlands), the Parties to the Framework Convention on Climate Change(FCCC) did not (yet) reach consensus on the institutional details of theproject-based mechanisms, such as the possible arrangement of early JIaction or the inclusion of sinks under the CDM.     

基于混合生命周期评价的不同坝型温室气体排放对比分析

为了研究不同坝型对环境造成的影响,采用混合生命周期评价方法定量分析并比较同规模的重力坝和堆石坝水电枢纽布置在全生命周期内的温室气体排放.研究基于糯扎渡工程实例,生命周期考虑材料设备生产阶段、运输阶段、施工阶段和运行维护阶段.结果表明:重力坝方案和堆石坝方案生命周期温室气体排放量分别为1145.49×104和815.85×104t(以CO2当量计),重力坝比堆石坝多排放40.4%.其中,重力坝在生产、运输和运行阶段的碳足迹比堆石坝大,但堆石坝在施工阶段的碳足迹比重力坝大.运行阶段的温室气体排放量占全生命周期碳足迹的比例最大,其次是材料设备生产阶段、施工阶段和运输阶段.糯扎渡水电工程的碳排放因子明显低于火电碳排放因子,合理开展水电建设,是实现我国"十二五"规划碳减排目标的有效途径.     

CO2 emission reduction for Japanese petrochemicals

Energy efficiency in the Japanese industry is one of the highest in the world. As a consequence, reduction of CO₂ emissions is considered to be difficult and costly. However little attention has been paid as of yet to changes related to so-called non-energy use of fossil fuels. The analysis in this paper suggests that a large number of options exist for emission reduction in the Japanese petrochemical industry. This includes the introduction of biomass feedstocks, the introduction of new catalytic production processes, and changes in waste handling. The use of bioplastics and the use of CO₂ feedstocks seem costly options for GHG emission reduction that should not be applied on the short term. Japanese GHG emissions can be reduced by 7.7% if the optimal set of emission mitigation options is applied. About 60 Mt emission reduction (4.9%) can be achieved by changes on the supply side, another 35 Mt emission reduction (2.8%) can be achieved by changes in waste management. While changes in waste management can be implemented before 2010, biomass introduction on the supply side will probably require a longer lead-time. About half of the emission reduction is cost–effective, but will require further technology development. The other half can be achieved at a cost level of 10,000 yen/t CO₂ (80 US$/t CO₂). The latter part is based on proven technology that is currently not cost–effective.