Life cycle climate impacts of the US concrete pavement network

Life cycle assessment (LCA) offers a comprehensive approach to evaluate and improve the environmental impacts of pavements. First, a general pavement LCA methodology is created that describes the concepts necessary to conduct a comprehensive pavement LCA. Second, the methodology is applied to the life cycle of concrete pavements to quantify current emissions across the road network. System boundaries are drawn to include all phases of the pavement life cycle – materials production, construction, use, maintenance, and end of life. Greenhouse gas emissions are quantified for twelve functional units, which evaluate average conditions for each major roadway classification in the United States. The results present the relative contribution of each component in the life cycle, the annual emissions occurring during the 40-year analysis period, and the sensitivity of these results to model parameters. It is found for all roads that the majority of emissions occur in year one – from cradle-to-gate materials production, and pavement construction – primarily due to cement production. The results are most sensitive to traffic volume, and then to parameters affecting the cement production. Based on emissions and their sensitivity, the LCA results suggest three broad reduction approaches: reducing embodied emissions, reducing use phase emissions, and reducing end-of-life emissions.     

Copper cycle in China and its entropy analysis

Copper cycle analysis approaches have been broadly investigated for sustainable development of copper industry in China. There are four stages in the life cycle of copper products, including mining & processing, fabrication & manufacture, use and reclamation. The 2005 copper cycle in China, analyzed by copper-flow diagram of the copper products life cycle with time factor, indicates that the copper ore index and copper scrap index were 0.78 t/t and 0.063 t/t, respectively; and copper resource efficiency was 1.3 t/t. To ascertain the degree of both aggregating and dispersing of the copper in the life cycle of copper products, the substance flow analysis with the index of entropy and the calculating method of entropy was presented. The variation of entropy along copper cycle was calculated based on the analysis of the life cycle of copper products in China in 2005. The entropies at the five nodes along copper cycle were 0.26, 0.046, 0.24, 0.60 and 0.25, respectively. The variation ratio of relative entropy in the whole system was −2.9%, which showed the copper-contained materials were congregated after the whole products life cycle. The same method was also applied to the variation of entropy along copper products life cycle in China in 2002. The discussion was focused on the results of these two years. The values of entropy at the five nodes along copper cycle in 2005 were all lower than those in 2002. The entropy at the five nodes along copper products life cycle in 2005 was extracted through two scenes under different technical indices, including scene one: 0.26, 0.032, 0.23, 0.60 and 0.17, respectively; and scene two: 0.26, 0.023, 0.23, 0.60 and 0.096, respectively. The values of entropy are effectively reduced, especially from the fourth to the fifth node, which is the obsolete copper products reclaiming stage.     

Eco-efficiency in extended supply chains: a case study of furniture production

This paper presents a methodology about how eco-efficiency in extended supply chains (ESCs) can be understood and measured. The extended supply chain includes all processes in the life cycle of a product and the eco-efficiency is measured as the relative environmental and value performance in one ESC compared to other ESCs. The paper is based on a case study of furniture production in Norway. Nine different environmental performance indicators are identified. These are based on suggestions from the World Business Council for Sustainable Development and additional indicators that are shown to have significant impacts in the life cycle of the products. Value performance is measured as inverse life cycle costs. The eco-efficiency for six different chair models is calculated and the relative values are shown graphically in XY-diagrams. This provides information about the relative performance of the products, which is valuable in green procurement processes. The same method is also used for analysing changes in eco-efficiency when possible alterations in the ESC are introduced. Here, it is shown that a small and realistic change of end-of-life treatment significantly changes the eco-efficiency of a product.     

Life cycle energy impacts of automotive liftgate inner

This paper compares the life cycle energy use of a cast-aluminum, rear liftgate inner and a conventional, stamped steel liftgate inner used in a minivan. Using the best available aggregate life cycle inventory data and a simple spreadsheet-level analysis, energy comparisons were made at both the single-vehicle and vehicle-fleet levels. Since the product manufacture and use are distributed over long periods of time that, in a fleet, are not simple linear combinations of single product life cycles. Thus, it is all the products in use over a period of time, rather than a single product, that are more appropriate for the life cycle analysis. Using a set of consistent data, analyses also examine sensitivity to the level of analysis and the assumptions to determine the most favorable materials with respect to life cycle energy benefits.As expected, life cycle energy impacts of aluminum are lower than steel at a single-vehicle level – energy savings are determined to be 1.8 GJ/vehicle. Most energy savings occur at the vehicle operation phase due to improved fuel economy from lightweighting. The energy benefits are realized only very close to the average vehicle life of 14 years. With the incremental growth of the vehicle fleet, it takes longer – about 21 years – for aluminum to achieve life cycle equivalence with steel. The number of years aluminum needs to achieve equivalence with steel was found to be quite sensitive to aluminum manufacturing energy and fuel economy. As the steel industry races to compete with other materials for automotive lightweighting, a systems approach, instead of part-to-part comparison, is more appropriate in the determination of viability of aluminum substitution from an energy perspective.     

浅谈企业长久发展战略

企业像有生命的事物一样,是存在着生命周期的,不断地出生,成长,衰老,死去。企业沿着生命周期曲线在成长的时候,它们的行为是按生命周期进行的。每一个企业成长阶段都有其特定的问题。处理这些难题和转型中的问题时,必须要选择好正确的战略应对,这样企业才能长久发展。     

电驱动道路车辆 动力锂离子电池系统寿命循环试验条件和要求

本文是电驱动道路车辆动力锂离子电池的试验和要求标题下的电池系统寿命循环试验部分。结合国标转化过程和实验室能力验证经历,将寿命循环试验方法和要求作描述和解释。供实验室和相关产品的供需双方参考。     

主题公园生命周期的演化

旅游地生命周期理论向我们描绘了旅游地在发展过程中有规律性的阶段变化,但对于任何一个旅游地来说,其发展演化都有着自己独特的特点.根据旅游地生命周期理论,并结合国际、国内主题公园的实际发展情况,对其演化情况作了具体分析研究,认为主题公园的发展存在双周期模型,并就该模型的各发展阶段提出了一定的发展策略.     

ENVIRONMENTAL AUDITING: The Functional Unit in the Life Cycle Inventory Analysis of Degreasing Processes in the Metal-Processing Industry

1 and C₂ hydrocarbons (trichloroethane, trichloroethene, tetrachloroethene, dichloromethane). Measures aiming at the reduction of toxic emissions and ozone depletion potential (ODP) may possibly lead to a shift of environmental impacts towards higher energy consumption, emission of waste water, and volatile organic compounds (VOC) with photochemical oxidant creation potential (POCP). The present article concerns itself with a life cycle assessment of the three main degreasing processes in order to compare their integral environmental impacts with one another. This is supplemented by presenting the methodology of the life cycle inventory life cycle inventory analysis (LCI). Generally, the applicability of the established LCI method can be shown quite clearly. However, some difficulties arise, especially at the stage of the goal definition, as the use of the process and the functional unit cannot be pinned down as easily and neatly as for most other products. The definition of the use of the process and the functional unit is not as straightforward as for most products. Among the potential functional units identified are the mass of removed impurities, cleaning time, cleaning work, percentage of purity, throughput of parts, loads, mass or surface and virtual coefficients. The mass of removed impurities turned out to be the most suitable parameter for measuring the technical performance of degreasing processes. The article discusses background, purpose, scope, system boundaries, target group, process tree and representativeness of the present study.     

Understanding the total life cycle cost implications of reusing structural steel

Reuse of structural steel could be an environmentally superior alternative to the current practice, which is to recycle the majority (88%) of scrap steel. In spite of the potential benefits, and in a time when “sustainability” and “climate change” are critical societal issues, the question arises: why are greater rates of structural steel reuse not being observed? One of the major factors in the rate of structural steel reuse is how decision-makers understand the life cycle implications of their choice to recycle steel rather than reuse it. This paper contributes towards our understanding of these implications, particularly the cost implications, of reuse as an alternative to recycling by presenting a streamlined life cycle analysis and identifying the major contributors to each process. The results of a case study indicate that a significant reduction in some life cycle impact metrics (greenhouse gas emissions, water use) can result from reusing structural steel rather than recycling it. The largest contributors to the life cycle impact of recycling were the shredding, melting, and forming sub-processes. The largest contributor to reuse was the deconstruction sub-process. A total life cycle cost analysis is performed to understand the cost of damages to the environment and human health in combination with the cost of construction activities. Sensitivity and uncertainty analyses are also conducted to quantify variability in the results and determine economic conditions where the two processes have an equal cost.     

锂离子电池循环寿命测试探讨

分析了现有标准中的锂离子电池循环寿命测试方法,并针对现有方法测试周期过长的问题探讨了拟合曲线法、大电流加速法以及大电流拟合曲线法等可以缩短测试周期的全新测试方法。     

川南页岩气区块生命周期用水核算

选取川南页岩气区块为研究对象,运用过程生命周期评估和投入产出生命周期方法核算页岩气开采生命周期的直接和间接用水量,并与美国Marcellus页岩气区块用水量进行比较。川南区块总直接用水量为22 928 m^3/井,高于Marcellus区块的总直接用水量15 320 m^3/井。从生命周期阶段来看,川南页岩气开采钻井和压裂阶段的直接用水均远大于Marcellus区块。结合水环境管理指标,自然资源禀赋条件主要决定了直接用水量的差异。川南区块总间接用水量为25 098 m^3/井,超过总直接用水量,约为Marcellus区块总间接用水量的3倍。除井场准备阶段外,其余阶段的间接用水量均大于Marcellus区块,间接用水量的差异与钻井和压裂过程的添加剂、能源使用量和全行业用水效率有关。减少川南区块页岩气开发用水量的主要途径包括提高钻井液和压裂液回用率、改善钻井和压裂添加剂使用效率、提高柴油和电力等能源利用效率和全行业用水效率。     

Comparing Green and Grey Infrastructure Using Life Cycle Cost and Environmental Impact: A Rain Garden Case Study in Cincinnati,OH

Green infrastructure (GI) is quickly gaining ground as a less costly, greener alternative to traditional methods of stormwater management. One popular form of GI is the use of rain gardens to capture and treat stormwater. We used life cycle assessment (LCA) to compare environmental impacts of residential rain gardens constructed in the Shepherd's Creek watershed of Cincinnati, Ohio to those from a typical detain and treat system. LCA is an internationally standardized framework for analyzing the potential environmental performance of a product or service by including all stages in its life cycle, including material extraction, manufacturing, use, and disposal. Complementary to the life cycle environmental impact assessment, the life cycle costing approach was adopted to compare the equivalent annual costs of each of these systems. These analyses were supplemented by modeling alternative scenarios to capture the variability in implementing a GI strategy. Our LCA models suggest rain garden costs and impacts are determined by labor requirement; the traditional alternative's impacts are determined largely by the efficiency of wastewater treatment, while costs are determined by the expense of tunnel construction. Gardens were found to be the favorable option, both financially (~42% cost reduction) and environmentally (62‐98% impact reduction). Wastewater utilities may find significant life cycle cost and environmental impact reductions in implementing a rain garden plan.     

A life cycle based multi-objective optimization model for the management of computer waste

The accelerating pace of waste generation from used electrical and electronic equipment is of growing global concern. Within this waste stream, computer hardware is quite significant in terms of both volume and risk to the environment because of the hazardous materials within it. The waste management hierarchy of prevention, reuse, recycle, treatment and disposal in landfill is accepted as a universal guideline for waste management. The contemporary concept of integrated solid waste management is very complex comprising of not only the environmental aspects or the technical aspects of the waste management hierarchy, but also incorporating economic, institutional, perceived risk and social issues in the context of complete life cycle of waste. Moreover, when to shift from one stage of hierarchy to another, is an involved decision warranting inclusion of several case specific issues. This paper presents a life cycle based multi-objective model that can help decision makers in integrated waste management. The proposed model has been applied to a case study of computer waste scenario in Delhi, India, which apart from having computer waste from its native population receives large quantities of imported second hand computers. The model has been used to evaluate management cost and reuse time span or life cycle of various streams of computer waste for different objectives of economy, perceived risk and environmental impact. The model results for different scenarios of waste generation have been analyzed to understand the tradeoffs between cost, perceived risk and environmental impact. The optimum life cycle of a computer desktop was observed to be shorter by 25% while optimizing cost than while optimizing impact to the environment or risk perceived by public. Proposed integrated approach can be useful for determining the optimum life cycle of computer waste, as well as optimum configuration of waste management facilities, for urban centers where computer waste related issues are of growing concern.     

A life cycle based multi-objective optimization model for the management of computer waste

The accelerating pace of waste generation from used electrical and electronic equipment is of growing global concern. Within this waste stream, computer hardware is quite significant in terms of both volume and risk to the environment because of the hazardous materials within it. The waste management hierarchy of prevention, reuse, recycle, treatment and disposal in landfill is accepted as a universal guideline for waste management. The contemporary concept of integrated solid waste management is very complex comprising of not only the environmental aspects or the technical aspects of the waste management hierarchy, but also incorporating economic, institutional, perceived risk and social issues in the context of complete life cycle of waste. Moreover, when to shift from one stage of hierarchy to another, is an involved decision warranting inclusion of several case specific issues. This paper presents a life cycle based multi-objective model that can help decision makers in integrated waste management. The proposed model has been applied to a case study of computer waste scenario in Delhi, India, which apart from having computer waste from its native population receives large quantities of imported second hand computers. The model has been used to evaluate management cost and reuse time span or life cycle of various streams of computer waste for different objectives of economy, perceived risk and environmental impact. The model results for different scenarios of waste generation have been analyzed to understand the tradeoffs between cost, perceived risk and environmental impact. The optimum life cycle of a computer desktop was observed to be shorter by 25% while optimizing cost than while optimizing impact to the environment or risk perceived by public. Proposed integrated approach can be useful for determining the optimum life cycle of computer waste, as well as optimum configuration of waste management facilities, for urban centers where computer waste related issues are of growing concern.     

Introducing design for the environment at boeing defense and space group through the application of abridged life-cycle analysis

The streamlined, matrix approach to environmental Life-Cycle Analysis (LCA) developed originally at AT&T by Graedel and Allenby can be adapted to manufacturing processes to produce a useful tool for Design for the Environment (DFE). Pollution prevention in manufacturing has typically focused on the environmental impact of processes at a manufacturer's site. However, it is important to recognize that a process has a “life cycle,” albeit not precisely like the life cycle associated with a product. Modification of processes can also have upstream and downstream effects. In this article, the authors show how, by using a streamlined LCA matrix, it is possible to evaluate the environmental impact associated with a process over the process's life cycle. This approach also allows managers to allocate resources to improve processes that have greater environmental impact and to assess process improvements.     

LCA of the South African sugar industry

A life cycle assessment of sugar produced in South Africa evaluates the environmental impacts and energy consumption of the different life cycle phases of sugar production. The system studied includes sugar cane farming, fertiliser and herbicide manufacture, cane burning, sugar cane transportation and sugar manufacture. Inventory and impact assessment results show that non-renewable energy consumption is 5350 MJ per tonne of raw sugar produced and 40% of this is from fertiliser and herbicide manufacture. Reduction in the use or impact of fertiliser for cane farming could bring considerable savings in terms of fossil energy consumption and a reduction in greenhouse gas emissions.     

浅析低碳技术的评价方法

低碳技术可分为3类:减碳技术、无碳技术、去碳技术,选择最优低碳技术是一个项目能否成功的关键。低碳技术评价的内容通常从能源使用率、经济效益、生命周期方面进行评价,对技术的综合性评价的基本方法大致有层次分析法、综合评分法、德尔菲法、熵值法、模糊综合评判法等,这些方法渗透于指标权重分析、模型建立评价当中。通过研究对这些技术的评价方法,确定最优的技术项目,以促进循环经济及可持续发展战略的实施和进行。     

Recycling concepts and the index of recyclability for building materials

It is well known that reserves of non-renewable resources are limited and that waste emitted into the air, soil and earth pollute the environment. In addition to proposing a change in the architects’ way of thinking, the climate change further requires an improvement in the environment, politics and social consciousness. The chase for sustainable architecture must also consider the end of the life cycles of materials. The aim of this work is to introduce new concepts regarding materials and building elements that reach the end of their first life cycle and to evaluate the potential for recyclability of those materials. The research method is based on a hierarchic upside down pyramid that gives priority to the reuse and recycling of materials and afterwards allows for the creation of recyclability levels of the materials and elements. The results show that the concepts created regarding recycled, infracycled, reused and infraused materials are more suitable to the current situation. The indexes of recyclability quantify the betterment of the environment in the construction processes of buildings that are made from recycled or recyclable materials. In this manner, recyclability allows changing the way architects design and construct buildings, and it is a step forward to the closed-loop material cycle.     

The Effect of Local Biomass Projects on Energy Balance and GHG Emission: A Life Cycle Approach

Emerging attention has been given to the use of biomass in local areas for its contribution to reducing fossil fuel dependence and mitigating global warming. The objective of the present study is to develop a method that quantitatively assesses the effects of local biomass projects on fossil fuel consumption and greenhouse gas (GHG) emission. A practical method based on a life cycle approach is proposed and applied to a case of bioethanol project in Miyako Islands of Japan. The project is aiming to produce bioethanol from molasses within the islands, and to replace the entire gasoline consumed in the islands to E3 fuel (i.e., a mixture of 3% ethanol and 97% gasoline by volume). The assessment using the developed method revealed that, first, the complete shift from gasoline to E3 fuel allows for decreases in fossil fuel consumption and GHG emission. Second, the performance of the project is improved by the integration of the ethanol plant and the sugar factory. Moreover, the assessment found that, in small-scale bioethanol projects, the contribution of capital goods to life cycle fuel consumption and GHG emission is not negligible.     

Life cycle indicators for monitoring the environmental performance of European waste management

As widely recognised by EU legislation, Life Cycle Thinking (LCT) is a viable approach to support sound waste management choices. In this context, the Institute for Environment and Sustainability (IES) of the European Commission Joint Research Centre (JRC) has lead the development of macro-level, life cycle based waste management indicators to quantify and monitor the potential environmental impacts, benefits, and improvements associated with the management of a number of selected waste streams generated and treated in Europe.The waste management indicators developed make use of a combination of macro statistical waste management data combined with emissions/resource life cycle data for the different elements of the waste treatment chain. Indicators were initially calculated for the entire European Union (EU-27) and for Germany, covering several waste streams and a broad range of environmental impact categories.An indicator developed for a given waste stream captures the potential environmental impact associated with the generation and management of that waste stream. The entire waste management chain is considered, i.e. from generation to final treatment/disposal. Therefore, system boundaries for the selected waste streams include also the treatment or recycling of secondary waste (e.g. bottom ash from the incineration of household waste), and secondary products (e.g. recovered paper), as well as energy recovery.The experiences from the development of these life cycle based waste management indicators suggest that more detailed and quality-assured waste statistics are needed, especially covering the many different treatment operations and options. Also, it would be beneficial if waste statistics had a higher disaggregation level of waste categories, as well as more detailed information about waste composition. A further development of the indicators should include an increased number of waste streams, as well as calculation of the results for all Member States.