– | In the ‘human health’ category-cleaning coal at a preparation plant (250.0 kEw), |
– | In the ‘quality of ecosystem’ category-cleaning coal at a preparation plant (25.0 kEw), |
– | In the ‘resources’ category-entry driving by means of explosives (745.7 kEw). |
Purpose
Cultures are increasingly recognised for their inherent value, yet, despite political and societal concern, culture is widely unrecognised in assessment techniques. Life cycle sustainability assessment (LCSA), a technique encompassing environmental, social and economic aspects, is growing in popularity. However, cultural values are rarely considered in LCSA. This paper reviews the meaning of culture; current efforts to include culture in environmental life cycle assessment (LCA), social LCA (S-LCA) and LCSA; and aspects to address when investigating integration of culture in LCA, S-LCA and LCSA.Methods
A literature review was undertaken on definitions of culture, recognition of culture in policy and decision making, and how culture is incorporated into assessment techniques. The potential for integrating culture in LCSA was evaluated in terms of the potential benefits and challenges.Results
Culture is often intangible and inaccessible, which may then lead to a lack of recognition in decision-making processes, or if it is recognised, then it is relegated as an afterthought. Explicitly including consideration of culture within LCSA will allow its representation alongside other sustainability aspects. The challenges of representing culture within LCSA include recognising when ‘culture’ should be distinguished from ‘social’; culture’s dynamic nature; the data collection process; and the diversity of cultures between stakeholders and at different scales from community through to nation. The potential benefits of representing culture within LCSA include greater resonance of LCSA results with stakeholders; a more comprehensive decision support tool which appropriately accounts for values; and an assessment technique which may help protect communities and their diversity of cultures.Conclusions
Representing culture in LCSA is not straightforward and, to some extent, may be addressed through social indicators. However, developing LCSA to explicitly address cultural values has potential benefits. Future research should focus on opportunities for the development of (a) a culturally inclusive LCSA process and (b) additional cultural indicators and/or dimensions of existing LCSA indicators that represent cultural values. 相似文献Purpose
Technologies can contribute to sustainable development (e.g., improving living conditions) and at the same time cause sustainability problems (e.g., emissions). Decisions on alternative technologies should thus ideally be based on the principle to minimize the latter. Analyzing environmental, economic, and social aspects related to technologies supports decisions by identifying the “more sustainable” technology. This paper focuses on social issues. First, it discusses the applicability of the social life cycle assessment (SLCA) guidelines for a comparative technology analysis, taking the example of two case studies in developing countries. Indicating technologies as “sustainable” also means that they are indeed operated over the expected lifetime, which, in development projects, is often not guaranteed. Consequently, social aspects related to implementation conditions should be considered in an SLCA study as well. Thus, a second focus is laid on identifying appropriate indicators to address these aspects.Methods
First, the SLCA guidelines were examined with regard to applying this product-related approach to two real case studies (analysis of technologies/plants for water supply and for decentralized fuel production) for a comparative technology analysis. Suitable indicators are proposed. To address the second focus, a literature research on technology assessment and implementation in developing countries was conducted. Moreover, socioeconomic studies in the investigation areas of the case studies were consulted. Based on this, indicators addressing implementation conditions were identified from the SLCA guidelines and additional literature.Results and discussion
The study shows social issues and indicators found in the SLCA guidelines and considered suitable for a comparative technology analysis in the case studies. However, for a sustainability assessment of technologies, especially in developing countries, further indicators are required to address technology implementation conditions. A set of additional social indicators like reported trust in institutions or fluctuation of personnel is proposed. Though these indicators were derived based on specific case studies, they can also be suggested to other technologies and are not necessarily limited to developing countries.Conclusions
The study pointed out that an application of the SLCA guidelines considering the whole life cycle was not (yet) feasible for the case studies considered. This is mainly due to the lack of data. Regarding technology implementation, it was examined which indicators are available in this SLCA approach and which could additionally be integrated and applied. This is relevant as a potential contribution of technologies to sustainable development can only be achieved when the technologies are successfully implemented. 相似文献Background, aim, and scope
The term “information module” has been initially introduced by ISO 14025 (ISO 14025 2006) which specifies Type III environmental declarations. It comprises a set of predetermined parameters (PDPs) assigned to a process. Such a process can be part of a product system, i.e., a unit process or a combination of unit processes as, e.g., the production processes of a company. Independent information modules (IIMs) of processes within a system are modeled in a way that the predetermined parameters of the information modules related to these processes are identical and sufficiently independent so they can be added up to the predetermined parameters of such a system, typically after multiplication with specific factors based on the reference flow of the system.Materials and methods
This paper shows how IIMs can be used as powerful approach in life cycle management and how operations, goods, and services of a company can be modeled efficiently with the help of IIMs. To define environmental objectives of their operations, organizations typically assess their foreground processes but do not apply system expansion for each of the foreground processes to include background processes. With the help of IIMs, background processes can be easily included, and the PDPs, therefore, also include both direct and indirect elementary flows, i.e., emissions and resources. In a “plant ecobalance” the PDPs of the different (foreground and background) processes of an organization can be determined and added up. This provides each process owner with important information about the environmental aspects which he or she can control and shows options for setting and implementing environmental objectives. For specific purposes, the number of PDPs can be restricted or even limited to one parameter, e.g., the carbon footprint. This paper illustrates the method with one example of the aluminum industry (carbon footprint of an automotive bumper beam) and shows how PDPs of product systems can be built up from IIMs which represent the different stages of a life cycle; how such results can show the influence of these stages in a transparent way, as required as a part of the life cycle interpretation phase.Results and discussion
Life cycle assessments (LCAs) based on IIMs follow the principles and requirements of ISO 14040 (2006) and ISO 14044 (2006), as applicable. However, as a specific approach of life cycle management, they can obtain the required information with less effort than “conventional” LCAs where, following the guidance of ISO 14044, indicator results are calculated after the inventory data have been aggregated for the whole product system. Future efforts in ISO standardization should strengthen the role of LCA as a tool of environmental management.Purpose
This study aims to develop a new framework of social life cycle impact assessment (SLCIA) method based on the United Nations Environment Program/Society of Environmental Toxicology and Chemistry (UNEP/SETAC) Guidelines for analyzing the social impact in Taiwan, particularly in the electronics industry.Methods
After reviewing the literature on social life cycle assessment (SLCA), we analyzed existing case studies and developed SLCIA methods based on the UNEP/SETAC Guidelines. We thereafter identified stakeholders, subcategories, and indicators in accordance with the current status of SLCA case studies and opinions from ten experts in the Taiwanese electronics industry. Both quantitative and semi-quantitative indicators were subsequently proposed to assess the social impact of workers in the Taiwanese electronics sector. Each indicator was given the score of 1 to 5 by classifying the social impact percentage of nine scales. To formulate an analytic framework for SLCIA, the weighting values of each subcategory and indicator were determined using the consistent fuzzy preference relations (CFPR) method.Results and discussion
Seven subcategories and 19 qualitative and quantitative indicators of worker stakeholders for the electronics sector were identified based on the UNEP/SETAC Guidelines. A score of 1 to 5 is assigned to each quantitative indicator by classifying the social impact percentage of nine scales. The data obtained from companies for each quantitative indicator were subsequently transformed into social impact percentage in terms of the statistical data on social situations at the country or industry level. With regard to semi-quantitative indicators, three implementation levels of management efforts on social performance within five elements were identified. The CFPR method was then employed to determine the weights of each indicator by ten experts. Results indicated that preventing forced work practices, protecting children from having to work, and providing minimum and fair wages for workers are the three most important indicators for assessing social impact.Conclusions
A new SLCIA method that incorporates both quantitative and semi-quantitative indicators was proposed for assessing social impact in the electronics sector in Taiwan. Nine quantitative indicators can be easily organized using available social data from government statistics as performance reference points (PRPs) to determine the social impact exerted by companies. The relative weights were determined to allow for an impact assessment and thus solve the limitation of their currently assumed equal weights. The proposed framework is examined to analyze the social impact of three production sites for semiconductor packaging and manufacturing in Taiwan.Purpose
This study discusses the use of parameterization within the life cycle inventory (LCI) in the wooden pallet sector, in order to test the effectiveness of LCI parametric models to calculate the environmental impacts of similar products. Starting from a single case study, the objectives of this paper are (1) to develop a LCI parametric model adaptable to a range of wooden pallets, (2) to test this model with a reference product (non-reversible pallet with four-way blocks) and (3) to determine numerical correlations between the environmental impacts and the most significant LCI parameters; these correlations can be used to improve the design of new wooden pallets.Methods
The conceptual scheme for defining the model is based on ISO14040-44 standards. First of all, the product system was defined identifying the life cycle of a generic wood pallet, as well as its life cycle stages. A list of independent and dependent parameters was used to describe the LCI flows of a generic wooden pallet. The LCI parametric model was applied to calculate the environmental impacts of the reference product, with regard to a selection of impact categories at midpoint level (climate change, human toxicity, particulate matter formation, agricultural land occupation, fossil depletion). The model was then applied to further 11 wooden pallets belonging to the same category.Results and discussion
The definition of a LCI parametric model based on 31 independent parameters and 21 dependent parameters streamlined the data collection process, as the information required for fulfilling the LCI are standard information about the features of the wooden pallet and its manufacturing process. The contribution analysis on the reference product revealed that the most contributing life cycle stages are wood and nails extraction and manufacturing (positive value of environmental impact) and end-of-life (avoided impact). This result is driven by two parameters: mass of wood and average distance for transport of wood. Based on the results of the application of the LCI parametric model to the identified products, one parameter-based regression and one multiple non-linear regression allowed to define a correlation between the life cycle impact assessment (LCIA) category indicators considered and the most influencing parameters.Conclusions
The definition of LCI parametric model in the wooden pallet sector can effectively be used for calculating the environmental impacts of products with different designs, as well as for obtaining a preliminary estimation of the life cycle environmental impacts of new products. 相似文献Purpose
To promote eco-efficient sugarcane products, there is a need for life cycle assessment (LCA) methods that enable rapid assessment of the environmental implications of alternative agricultural practices. In response, a customised LCA method for sugarcane growing was developed and operationalized in the CaneLCA tool. The aim of the paper was to describe the CaneLCA method in detail and to test the effectiveness of the tool’s parameterisation for evaluating the environmental implications of cane growing practice alternatives.Methods
CaneLCA (Version 1.03) was developed over 6 years (2011–2017) in conjunction with the Australian sugarcane sector. The LCA process was customised for sugarcane growing by focusing on ‘cradle to farm gate’ operations and relevant impact categories, and by parameterising practice variables. To evaluate the effectiveness of the tool, we used it to assess a case study of actual practice changes in the Wet Tropics region of Australia, in terms of the scope of practice variables and environmental implications that can be accounted for.Results and discussion
The case study results generated by CaneLCA were consistent with those generated by past studies using LCA software. The parameterisation of practice variables allowed for all the practice changes represented in the case study to be assessed. It is suitable for evaluating such known practice alternatives, but less suited to evaluating very innovative practice alternatives, as it is constrained by the underlying algorithms and factors. Most of the environmental implications could be considered, except for effects on soil quality. This will be an area for future tool development to understand the full implications of agricultural practice change, along with the introduction of dynamic models to better estimate emissions.Conclusions
CaneLCA makes the LCA process more rapid for evaluating alternative sugarcane growing practices, thereby speeding up progress towards devising more eco-efficient sugarcane products. It provides a model that could be adapted for other sugarcane growing regions, and for other perennial cropping systems. The novelty of the method is the detailed parameterisation of practice variables so that a wide range of alternative practices can be evaluated.Purpose
End-of-life (EoL) modelling in life cycle assessment has already been broadly discussed within several studies. However, no consensus has been achieved on how to model recycling in LCA, even though several approaches have been developed. Within this paper, results arising from the application of two new EoL formulas, the product environmental footprint (PEF) and the multi-recycling-approach (MRA) ones, are compared and discussed. Both formulas consider multiple EoL scenarios such as recycling, incineration and landfill.Methods
The PEF formula has been developed within the PEF programme whose intent is to define a harmonized methodology to evaluate the environmental performance of products. The formula is based on a 50:50 allocation approach, as burdens and benefits associated with recycling are accounted for a 50% rate. The MRA formula has been developed to change focus from products to materials. Recycling cycles and material losses over time are considered with reference to material pools. Allocation between systems is no longer needed, as the actual number of potential life cycles for a certain material is included in the calculation. Both the approaches have been tested within two case studies.Results and discussion
Methodological differences could thereof be determined, as well as applicability concerns, due to the type of data required for each formula. As far as the environmental performance is concerned, impacts delivered by MRA are lower than those delivered by PEF for aluminium, while the opposite happens for plastic and rubber due to the higher share of energy recovery accounted in PEF formula. Stainless steel impacts are almost the same.Conclusions and recommendations
The application of the two formulas provides some inputs for the EoL dilemma in LCA. The use of a wider perspective, better reflecting material properties all over the material life cycle, is of substantial importance to properly represent recycling situations. In MRA, such properties are treated and less data are required compared to the PEF formula. On the contrary, the PEF model better accommodates the modelling of products whose materials, at end of life, can undertake the route of recycling or recovery (or landfill), depending on country-specific EoL management practices. However, its application requires more data.Background, aim, and scope
The management of municipal solid waste and the associated environmental impacts are subject of growing attention in industrialized countries. European Union has recently strongly emphasized the role of LCA in its waste and resource strategies. The development of sustainable solid waste management systems applying a life cycle perspective requires readily understandable tools for modeling the life cycle impacts of waste management systems. The aim of the paper is to demonstrate the structure, functionalities, and LCA modeling capabilities of the PC-based life cycle-oriented waste management model EASEWASTE, developed at the Technical University of Denmark specifically to meet the needs of the waste system developer with the objective to evaluate the environmental performance of the various elements of existing or proposed solid waste management systems. 相似文献This work provides an unambiguous conceptual framework for inclusion of nutrition in Life Cycle Assessments (LCAs) of food that enables the distinction between two different roles of nutrition, namely serving as the basis of food comparisons via the functional unit and as an impact pathway that links food ingestion with human health effects.
MethodsWe compare how nutritional aspects have been considered in the functional unit of published LCAs of food with the procedural requirements for ensuring comparability of the functional units. We consider the relevance of nutrient profiling models for assessing food- and diet-related health damages and benefits in the context of LCAs of food. We finally recommend a method that will enable a systematic, comparative, and holistic assessment of the marginal health effect of food products on human health.
Results and discussionSatiety is proposed as a central attribute for comparisons of food products, while weighted measures of nutrient content are suggested to be largely misplaced as part of the functional unit. In contrast, nutritional measures have a large role to play in assessing the human health impacts of the marginal ingestion of specific food products. Such measures should enable a direct quantification of human health effect and benefits and should take advantage of robust epidemiological evidence.
ConclusionsNutritional measures enter into both the functional unit in the form of satiety measures and into the calculation of impacts in the form of the marginal influence of the specific food item on the human health impact of the overall diet. To enhance the differentiation of health impacts at the level of individual food items, it is recommended to combine the nutrient balance indicator with the DALY Nutritional Index (DANI) in each specific dietary context.
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