生命周期分析(LCA)的技术框架

ISO14040标准将LCA的实施步骤分为目的与范围的确定、清单分析、影响评价和结果解释四个阶段。a.目的和范围的确定:为开展LCA研究提供了一个初步计划。它说明开展LCA的目的和意图、研究结果的可能应用领域,确定LCA的研究范围,保证研究的广度、深度与要求的目标一致。b.清单分析:量化和评价所研究的产品、工艺或活动整个生命周期阶段资源和能量使用以及环境释放的过程。c.生命周期影响评价:为可选阶段。将清单数据进一步与环境影响联系起来,让非专业的环境管理决策者更容易理解。一般将影响评价定为一个“三步走”的模型,即分类、特征化和加权。d.解释:根据规定的目的和范围,综合考虑清单分析和影响评价的发现,从而形成结论并提出建议。如果仅仅是生命周期清单研究,则只考虑清单分析的结果。生命周期分析(LCA)的技术框架     

动态生命周期评价的研究与应用现状

生命周期评价（LCA）在理论和实际应用中存在一些局限性,包括清单和评价方法缺乏时间维度和空间维度,主要表现为缺乏对产品能源系统随时间变化的考虑,使用静态的过时的清单数据而非基于时间的动态生命周期清单数据,以及影响评价方面缺乏动态特征因子的选择和计算方法.动态生命周期评价（DLCA）是针对工业和环境系统的时间和空间变化的动态建模过程的评价方法,可大大提高传统生命周期评价的科学性和准确性.本文从3个方面对动态生命周期评价方法进行总结和评述,即将时间信息作为不确定因素的动态建模分析;生产过程或污染物排放的实时数据的获取;基于时间分化的动态特征因子的影响评价方法.通过目前的动态生命周期评价的研究现状来看,其方法框架并不统一,另外缺乏科学的时间分化的LCI计算的数学模型和软件以及生命周期影响评价的建模解决方案.因此,本文对DLCA未来的发展进行展望,以期为LCA方法的研究、应用、发展和完善提供更多的支持.     

环境质量分析与评价

X82 200402494 生命周期清单分析的数据质量评价/莫华…(清华大学环境科学与工程系)∥环境科学研究/中国环科院.-2003,16(5).-55-58 环图X-6 生命周期清单分析(LCI)数据质量的分析方法可概括为两类:采用诸如地理代表性、数据年代或数据获取方式等一系列指标来表示;根据不确定性来综合反映LCI质量。笔者在分析了这两类     

中国光伏系统的生命周期评价

研究多晶硅光伏发电系统在整个生命周期之内的环境排放能源消耗情况,使用了代表中国生产技术水平的清单数据,对生命周期各阶段,尤其是生产制造和废弃处理阶段进行详细建模,分析了两种不同回收处理情形下的能量回收时间、温室气体排放量,并进行了生命周期影响评价。结果显示:能量回收时间和温室气体排放因太阳辐射量而异;太阳能电池板的生产制造过程对环境造成的影响最大;不同的回收处理方式对整个系统有较大的影响。     

生命周期评价--清单分析方法探讨

清单分析是生命周期评价方法中极重要的环节，是对整个生命周期阶段的资源和能源的使用及环境排放的定量分析过程，详细阐述了清单流程编制和清单数据获得的分析及收集方法，并示例说明。     

生命周期清单分析的数据质量评价

生命周期清单分析(LCI)数据质量的分析方法可概括为两类:采用诸如地理代表性、数据年代或数据获取方式等一系列指标来表示;根据不确定性来综合反映LCI质量.笔者在分析了这两类方法各自所存在缺陷的基础上,提出了将这两者相结合的评价方法:采用5个独立的反映数据质量的指标,根据系统各单元各数据属性对各指标从1～5进行打分,形成数据的质量指标向量元素.根据数据质量向量元素的算术平均在总指标范围中所占的百分数将质量指标向量转化为对应的综合数据质量指标(DQI),继而根据DQI可得出每个数据的随机分布,以便进行清单结果的不确定性随机模拟.最后将方法应用于钢铁生产生命周期清单数据中.      

产品生命周期评价研究的难点问题分析

产品生命周期评价中的主要难点包括:边界定义和目标确定过程中的评价对象的功能单位确定问题;清单分析过程中的评价数据的一致性问题;影响评价过程中的输入(污染源)与其输出(影响结果)之间的非线性关系表达问题;改善分析过程的产品全生命周期多目标优化求解问题。对于产品生命周期评价研究者来说,弄清生命周期评价的难点问题后,将更有助于有针对性地开展相关的研究工作。     

基于LCA的环境成本评价模型

为了解决生命周期评价中普遍存在的环境负荷数据向环境成本转换问题,在清单分析的基础上,构建了产品生命周期环境成本评价模型。分析了评价模型对于生成评估报告和制定相关政策措施的作用和意义。     

中国化石能源生命周期清单分析

利用生命周期评价方法,建立了我国化石能源的生命周期清单模型,详述了模型相关因子的确定方法,计算了原煤、原油、天然气等初级能源及汽油、焦炭等几类主要次级能源的生命周期清单,揭示了我国能源生产的环境负荷,为工业系统分析和材料、产品的生命周期评价提供基础数据.清单分析表明我国化石能源清单的主要特点为能源消耗的97%以上主要来自生产过程,运输占到3%左右的比例;通过与2002年清单相比,我国化石能源生产的总能耗和排放出现不同程度变化;通过与国外能源清单相比,我国能源投入及排放整体处于较高水平.     

生命周期评价在环境管理中应用的局限性及其技术进展研究

生命周期评价法(Life Cycle Assessment)在国际上广泛应用于工业企业部门、政府管理部门和服务行业,但最突出的贡献是在环境管理方面的应用.LCA的技术框架分为确定目的与范围、生命周期清单分析、生命周期影响评价(LCIA)和结果解释4个部分.LCIA的方法可归纳为中点法和终点法.LCA存在数据获取、清单分配、边界选择、评价模型、时空限制,以及结果不确定性等方面的局限性.为适应环境管理和评价技术本身的要求,LCA评价技术朝系统化方向发展,目前主要有IO-LCA、ALCA、CLCA、LCC、S-LCA和LCSA等评价技术.不同的评价技术从不同侧面拓展了LCA的应用领域和回避LCA评价的局限性,使得LCA越来越成为环境管理不可或缺的工具.     

The ecoinvent database system: a comprehensive web-based LCA database

The paper describes the general structure of the ecoinvent database developed by the Swiss Centre for Life Cycle Inventories. The database accommodates more than 2500 background processes often required in LCA case studies.Quality guidelines, established in order to ensure coherent data acquisition and reporting across the various institutes involved, are described. These include aspects such as the reporting of pollutants (e.g., heavy metals), or the nomenclature of processes and elementary flows.The data (exchange) format is also described. Processes are documented with the help of meta-information and flow data (including both unit process raw data and aggregated LCI results). The structure of the data format corresponds to the ISO/TS 14048 data documentation format. Data exchange between project partner institutes and between the database and its customers (database users) is based on XML-technology. Matrix inversion is used to calculate the cumulative LCA data using efficient algorithms and making use of the fact that LCA matrices are usually sparse.     

Uncertainty analysis in life cycle inventory. Application to the production of electricity with French coal power plants

Uncertainty assessment in LCAs is an important aspect for decision-makers to judge the significance of differences in product or process options.Stochastic models (e.g., Monte Carlo) are tools used in Life Cycle Inventory (LCI) to compute the uncertainty of cumulative emissions and resource requirements. However, one main problem when applying such models is the large number of unit processes that make up a product system. In this paper a combination of qualitative and quantitative approaches in uncertainty assessment is proposed for an efficient assessment of uncertainty. The qualitative assessment of data quality relies on data quality indicators, whereas the quantitative assessment uses Monte Carlo simulation.The effort to select accurate probability functions concentrates on data with a significant contribution to the cumulative results¹ and/or with a high uncertainty. The probability function of selected data is estimated using different techniques, depending on the amount of information available.Some results are presented by applying the method on selected French coal-based electricity.     

Improving the environmental performance of machine-tools: influence of technology and throughput on the electrical energy consumption of a press-brake

Machine-tools have been identified as one of the main energy-using products to be analyzed in an Ecodesign perspective, targeting the reduction of their environmental impact. Following this, machine-tool manufacturers are committed to anticipate eminent regulations and are looking for guidelines to improve their products on an effective and low-cost manner. This paper describes part of the energy consumption study followed in the frame of the Ecodesign of a commercial press-brake. All-hydraulic and all-electric commercially available systems, of different capacities and working in real production scenarios, have been included. From this study, a preliminary version of an LCI dataset for the bending process is proposed, structured in technology, machine capacity and usage mode categories, and using the bending cycle as the reference unit. The energy consumption per category was estimated based on a specific process energy model built as a function of the referred parameters. The contribution of the respective machine-tool structure to the environmental impact of the machining process is to be included, targeting the completion of such machining unit process dataset. The full LCA of an all-hydraulic system revealed the significant contribution of the machine-tool structure to the global life-cycle environmental impact of the machine (about 40%), while electricity during use phase contributes with about 46% to the total impact. This contradicts the general results published for other metal and non-metal forming processes, and is understood to be related with the discrete loading character of such forming processes here discussed.     

Significance of intermediate production processes in life cycle assessment of electronic products assessed using a generic compact model

In this paper a generic model for life cycle inventory (LCI) data collection is presented and applied to a product system of a Digital System Telephone (DST). It is shown that the intermediate unit processes (IUPs) are of global warming importance. Compared to earlier efforts in the field of environmental life cycle assessment of electronic products, this model enables a more partitioned LCA result, with respect to both components and processes. In our model the components are first divided into main groups and then into sub-groups. This division results in process modules for unit processes, some of which are similar to the ongoing components, thus, reducing the computational effort. The model is demonstrated for a “cradle-to-gate” calculation focusing on greenhouse gas emissions. Using scenario analysis for integrated circuits and printed wiring boards, the possible contribution from IUPs was analysed.     

中国生命周期参考数据库的建立方法与基础模型

缺乏完善的本地化LCA(Life Cycle Assessment)数据库是国内广泛开展LCA研究与应用的主要障碍.本文总结提出了建立中国生命周期参考数据库(Chinese Reference Life Cycle Database,CLCD)的基本方法,包括环境影响类型与物质名录的选择、单元过程清单数据的收集与审核、生命周期清单数据的建模与计算、CLCD数据库的建立等4个方面.按照上述方法,以电力、煤炭、燃油、运输等基础性产品为核心,初步建立了可扩展的中国基础工业系统的生命周期模型,收集了单元过程的全国平均清单数据,通过模型计算获得了这些基础性产品的生命周期清单数据,从而得到了CLCD基础数据库,为下一步扩展为更完善的CLCD数据库提供了方法与模型基础.     

Fuzzy data reconciliation in reacting and non-reacting process data for life cycle inventory analysis

Data uncertainty is a critical issue in life cycle inventory analysis (LCI). Recent work has demonstrated that fuzzy mathematics provides a computationally efficient alternative to probabilistic methods for representing data uncertainty. One specific problem is the utilization of different, and potentially conflicting, LCI data sources such as physical measurements, estimates or databases. A fundamental requirement of a valid LCI is that the data must not violate material and energy balance principles; however, data from diverse sources may result in inconsistencies. Normally such inconsistencies in LCI data can be addressed through the use of data reconciliation methods based on probability theory. This paper presents an alternative data reconciliation method based on fuzzy mathematical programming. Two LCI case studies are included to illustrate the methodology.     

Identification of main influencing factors of life cycle CO2 emissions from the integrated steelworks using sensitivity analysis

The amount of CO₂ emissions from steelworks accounts for a great share of the total CO₂ emissions from industry in China. Thus, reducing CO₂ emissions from steelworks is urgent for China's environmental protection and sustainable development. This study aims at identifying factors that influence CO₂ emissions from steelworks and proposing measures to reduce CO₂ emissions. The life cycle inventory (LCI) of iron and steel products implies the relationship between the CO₂ emissions of the steelworks and the input variables of the LCI. The Tornado Chart Tool is utilized to calculate the variation of CO₂ emissions caused by the change of each input variables of LCI. Then, mean sensitivity of each input variable is calculated and the ranking criterion developed is used to identify the main factors influencing the integrated steelworks. Subsequently, measures for reducing CO₂ emissions are proposed. The results indicate that the very important influencing factors of CO₂ emissions in steelworks are the CO₂ emission factor of Blast Furnace Gas (BFG), liquid steel unit consumption of continuous casting, continuous casting slab unit consumption of hot rolling and hot metal ratio of steel making. Consequently, many efficient measures for reducing CO₂ emissions have been proposed, such as removing CO₂ contained in BFG, decreasing the hot metal ratio of Basic Oxygen Furnace (BOF), recycling BFG, optimizing the products' structure, etc.     

全工业固废原料制备水泥工艺的生命周期评价研究

运用生命周期评价(LCA)方法,对以电石渣等工业固废为全部原料的水泥制造工艺产生的环境影响进行评价.通过对生产工艺进行分解及建模,基于实际数据建立生命周期清单,利用ReCiPe2016方法,在全球变暖、化石资源消耗、土地占用等17个小类及人体健康影响、生态系统影响及资源消耗3个大类中对工艺产生的环境影响进行评价.评价过程包括特征化、标准化和敏感性分析.结果表明,在以1 t成品水泥为功能单位的生产过程中,造成的环境影响总值为-0.0045 pt,其中,在人体健康影响和生态系统影响分类下最为显著,分别为-0.0027 pt和-0.0020 pt.与传统水泥生产相比,本工艺具有更低的资源能源消耗与碳排放量.固废作为原料来源带来的正面环境效益最为显著,而熟料煅烧与水泥粉磨则显示出最大的环境损害,也说明由于消纳了大量工业固废,本工艺对环境总体上是有益的.