Relevant bibliographies by topics / Life Cycle Inventory

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Life Cycle Inventory'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 June 2024

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Journal articles on the topic "Life Cycle Inventory"

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Singhofen, Axel, Christine R. Hemming, Bo P. Weidema, Laurent Grisel, Rolf Bretz, Bea De Smet, and David Russell. "Life cycle inventory data." International Journal of Life Cycle Assessment 1, no. 3 (September 1996): 171–78. http://dx.doi.org/10.1007/bf02978948.

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Jungbluth, Niels, Markus Kollar, and Volker Koβ. "Life cycle inventory for cooking." Energy Policy 25, no. 5 (April 1997): 471–80. http://dx.doi.org/10.1016/s0301-4215(97)00022-0.

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Müller, Bodo, and Liselotte Schebek. "Input-Output-based Life Cycle Inventory." Journal of Industrial Ecology 17, no. 4 (April 26, 2013): 504–16. http://dx.doi.org/10.1111/jiec.12018.

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Frischknecht, Rolf. "Life cycle inventory methodology and databases." International Journal of Life Cycle Assessment 15, no. 1 (November 24, 2009): 1–3. http://dx.doi.org/10.1007/s11367-009-0133-1.

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류, 영기, F. R. McDougall, C.-G. C. Peng, T. Arakaki, and 중우 안. "Integrated waste Management Life Cycle Inventory." Korean Journal of Life Cycle Assessment 2, no. 2 (December 2000): 41–47. http://dx.doi.org/10.62765/kjlca.2000.2.2.41.

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특정한 통합 폐기물 관리 방안들과 관련된 총체적 환경 부담을 알아내기 위하여 이러한 방안에 대하여 전과정 목록(Life Cycle Inventory, LCI)을 적용할 수 있다. 폐기물 관리에 대한 전과정 목록에서는 원료 물질의 사용, 에너지 및 물 사용. 대기, 수계 및 토양으로의 배출에 대한 자세한 데이터를 수집한다. 이 데이터에 기초하여 서로 다른 몇 가지 폐기물 관리 방안들을 비교할 수 있으며, 정보에 기초한 의사결정을 내릴 수 있다. 이와 같은 접근법은 특정 지역에서의 전체 고형 폐기 물 관리에 있어서 최선의 실행 가능한 방안이 무엇인지를 결정할 수 있게 해준다. 전과정 목록은 의사 결정을 내리는데 필요 한 것들을 제공해 주는 기법일 뿐 의사 결정 자체를 내리는 기법은 아니다. 전과정 목록에서 얻은 정보는 기획 담당자 폐기물 관리자로 하여금 미래의 좀 더 지속가능한 폐기물 관리 시스템을 설계할 수 있도록 도와준다.
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Katsura, Toru, Hiroaki Niwata, Katsuhito Nakazawa, Keiichi Katayama, Hiroyasu Sakamura, and Itaru Yasui. "A Life Cycle Assesment of Woodfree Printing Paper Life Cycle Inventory." JAPAN TAPPI JOURNAL 54, no. 8 (2000): 1108–15. http://dx.doi.org/10.2524/jtappij.54.1108.

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ICHINOHE, Masayuki, Shiroh AIHARA, Norio TAKEYAMA, Sachiko MOTOIKE, Mitsuo SATO, Tetsuya TAKAHASHI, Kiyoshi SAITO, Koichi ICHIMURA, and Yu KUWAHARA. "Life Cycle Inventory Analysis of the Refrigerator." Journal of Life Cycle Assessment, Japan 9, no. 3 (2013): 242–51. http://dx.doi.org/10.3370/lca.9.242.

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von Bahr, B., and B. Steen. "Reducing epistemological uncertainty in life cycle inventory." Journal of Cleaner Production 12, no. 4 (May 2004): 369–88. http://dx.doi.org/10.1016/s0959-6526(02)00197-x.

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Rivela, Beatriz, Ma Teresa Moreira, and Gumersindo Feijoo. "Life cycle inventory of medium density fibreboard." International Journal of Life Cycle Assessment 12, no. 3 (May 2007): 143–50. http://dx.doi.org/10.1007/s11367-006-0290-4.

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Lesage, Pascal, and Réjean Samson. "The Quebec Life Cycle Inventory Database Project." International Journal of Life Cycle Assessment 21, no. 9 (May 30, 2013): 1282–89. http://dx.doi.org/10.1007/s11367-013-0593-1.

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Dissertations / Theses on the topic "Life Cycle Inventory"

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KHADILKAR, YOGESH SUDHIR Mr. "REVERSE SUPPLY CHAIN: LIFE CYCLE INVENTORY ANALYSIS." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1098665167.

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Khadilkar, Yogesh S. "Reverse supply chain life cycle inventory analysis /." Cincinnati, Ohio : University of Cincinnati, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=ucin1098665167.

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Roberts, Michael John, and edu au jillj@deakin edu au mikewood@deakin edu au wildol@deakin edu au kimg@deakin. "A Modified Life Cycle Inventory of Aluminium Die Casting." Deakin University. School of Engineering and Technology, 2003. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20040825.110759.

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Aluminium die casting is a process used to transform molten aluminium material into automotive gearbox housings, wheels and electronic components, among many other uses. It is used because it is a very efficient method of achieving near net shape with the required mechanical properties. Life Cycle Assessment (LCA) is a technique used to determine the environmental impacts of a product or process. The Life Cycle Inventory (LCI) is the initial phase of an LCA and describes which emissions will occur and which raw materials are used during the life of a product or during a process. This study has improved the LCI technique by adding in manufacturing and other costs to the ISO standardised methods. Although this is not new, the novel application and allocation methods have been developed independently. The improved technique has then been applied to Aluminium High Pressure Die Casting. In applying the improved LCI to this process, the cost in monetary terms and environmental emissions have been determined for a particular component manufactured by this process. A model has been developed in association with an industry partner so this technique can be repeatedly applied and used in the prediction of costs and emissions. This has been tested with two different products. Following this, specialised LCA software modelling of the aluminium high pressure die casting process was conducted. The variations in the process have shown that each particular component will have different costs and emissions and it is not possible to generalise the process by modelling only one component. This study has concentrated on one process within die casting but the techniques developed can be used across any variations in the die casting process.
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Cruze, Nathan B. "Addressing Allocation and Disparity in Methods of Life Cycle Inventory." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1357301664.

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Cheaitou, Ali. "Stochastic models for production-Inventory planning : application to short life-cycle products." Châtenay-Malabry, Ecole centrale de Paris, 2008. http://www.theses.fr/2008ECAP1066.

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Dans le domaine du « Supply Chain Management » la source principale d’incertitude est la demande future. L’impact de l’incertitude de lademande sur les performances de la « Supply Chain » est important: par exemple, le taux mondial de rupture de stock, dans l’industrie dedistribution était en 2007 de 8. 3%. De l’autre côté, le taux mondial de produits invendus, dans la grande distribution, était en 2003 de 1%. Ces deux types de coûts, qui sont dus essentiellement à l’incertitude de la demande, représentent des pertes significatives pour lesdifférents acteurs de la « Supply Chain ». Dans cette thèse, on s’intéresse au développement de modèles mathématiques de planification de production et de gestion de stock, quiprennent en compte ce phénomène d’incertitude sur la demande, essentiellement pour de produits à court cycle de vie. On proposeplusieurs modèles de planification de production, à petit horizon de planification, qui prennent en compte les différents aspects de notreproblématique, telles que la remise à jour des prévisions de la demande et les options de retour « Payback » des produits. On souligne,dans ces modèles, un aspect important qui prend de l’ampleur à cause de la mondialisation, et qui est lié à la différence entre les coûtsde production des différents fournisseurs. . On propose à la fin de la thèse, un modèle généralisé qui pourrait être appliqué à des produitsà long cycle de vie, et qui exploite quelques résultats obtenus pour les produits à court cycle de vie. Tous ces modèles sont résolusanalytiquement ou bien numériquement en utilisant la programmation dynamique stochastique
In the Supply Chain Management domain, the main source of randomness is the future demand. The influence of this demand variabilityon the performance of the Supply Chain is very important: for example, in 2007 the global inventory shortage rate in the retail industrywere around 8. 3%. On the other hand, in 2003 the global Unsaleable products cost around 1% in the grocery industry. These two types ofcosts, which are mainly caused by the uncertainty of the future demand, represent important lost for the whole Supply Chain actors. This Ph. D. Dissertation aims at developing mathematical production planning and inventory management models, which take intoconsideration the randomness of the future demand in order to reduce its economic negative impact, essentially for short life cycleproducts. We provide many planning models that consider the main issues of the planning problems, such as the production capacities,the information updating processes, the supply contracts and the advanced capacity reservation in a total costs minimization context. Weconsider in these models some aspects that are not considered in the literature, such as the “Payback” or the return options. Weemphasize also on an important issue that characterize the globalization of the industry, which may be resumed in the difference betweenthe procurement costs of the different suppliers. This issue is considered in the most chapters presenting models for short life cycleproducts and in the last chapter it is generalized to a long life cycle products setting. All the presented models are solved eitheranalytically or numerically using the dynamic stochastic programming
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BIANCO, ISABELLA. "Life Cycle Inventory of cutting technologies in the ornamental stone supply chain." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2705557.

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The main goal of the PhD research project is to contribute to the development of methodologies and Life Cycle Inventory data of the most representative techniques and technologies in the ornamental stone supply chain. The realisation of Life Cycle datasets, currently scarcely available in Life Cycle databases, aims to provide a practical tool to enterprises and researchers dealing with sustainability issues in the stone sector. The interest in enhancing the stone supply chain sustainability has been boosted by the recent European policies on Circular Economy and Raw materials, which are encouraging the passage from a linear economy (made of the phases of extraction-production-use-disposal) to a circular economy, where the value of products, materials and resources is maintained in the economy for as long as possible (European Commission, 2015). Moreover, sustainable supply chain improvements are urged by the market competition, represented by stone materials from developing countries and by other Italian construction materials, whose sectors have started thinking in terms of sustainability from quite a long time, gaining a priority with, for examples, Green Public Procurements. In this context, the Life Cycle Assessment (LCA) has been identified as the best framework for assessing the potential environmental impacts of products by the European Commission’s Integrated Product Policy Communication (COM (2003) 302). LCA is indeed a scientific and standardized tool which considers the entire life cycle of a product/process in order to quantify materials, energy and emissions and to evaluate the environmental consequences. Nevertheless, in the stone sector, LCA is hindered by the current scarce availability of Life Cycle Inventory datasets on the specific stone supply chain techniques and technologies. In this context, the PhD project here presented gives a contribute to fill the gap in LCI datasets availability and quality. To this aim primary data were collected in Italian quarries, transformation plants and cutting tool enterprises (in particular, 4 marble quarries, 10 gneiss quarries, 7 transformation plants and 3 tool producers). When necessary, secondary data (from papers, patents and technical sheets) were also collected to complete the inventory or to cross-check the measured data. On the basis of these data, the average datasets of the stone supply chain techniques were modelled using Gabi software. Finally, primary data uncertainty on the collected data was handed through the calculation of the standard deviation, to assess the value ranges around the mean values and to evaluate the consequent precision of the LCI datasets. The modelled LCI datasets have been also submitted to an internal quality control based on impact assessment results. Uncertainty analyses have been developed through the calculation of standard deviation on some impact results and through Monte Carlo stochastic simulations (run with 1000 iterations), which evaluate the stability of the results toward random parameters constellations. In addition, the developed LCI datasets on stone technologies have been organised in a cradle-to-gate LCA model which, through editable parameters, can be easily adapted to perform LCA of specific stone supply chains. It has been created a unique model comprehending technologies for both soft and hard stones, in order to allow the model to be employed also by enterprises working with both the materials in the same plant. Finally, a collaboration with the Brazilian CETEM research centre, led to the development of a preliminary study on Social Life Cycle Assessment (SLCA). Following the UNEP/SETAC guidelines on SLCA (2009), secondary data have been collected for both the Italian and the Brazilian ornamental stone sectors. Questionnaires to collect primary data are proposed with the aim of supporting future works on stone social sustainability. This PhD study is therefore expected to boost to use of the LCA tools among stone enterprises and to provide data able to support researchers and decision makers.
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Dolfato, Edoardo. "Life Cycle Assessment of railway infrastructure: definition of the methodology, elaboration of environmental data and development of life cycle inventory datasets." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Sustainability is now a key concept in the infrastructure sector, and an increasing number of projects are being developed with this view. For this reason, sustainability in the construction must be pursued by analyzing the multiple impacts on economic, social and environmental levels during all processes of the life cycle of the infrastructure. It is necessary, therefore, that the decision-making process at the basis of the project design is informed by data on impacts determined by the choices that are made. This thesis work promotes the use of life cycle assessment data in the design phase of railways infrastructures, being part of the BIM for Rail-LCA project with the aim of defining a methodological framework for the assessment of the environmental footprint of railway infrastructures and developing specific inventories and datasets. The methodological framework identified is compliance with the ISO 14040-44 and to the EN 15804. Furthermore, the PCR Railways 2013, the PEF methodology and the PEFCR Guidance are identified as additional references to further specify some methodological aspects. The development of the inventories was carried out in accordance with the defined framework. For the development of the datasets, the ILCD format is used, considering the ILCD Entry level requirements as a reference for data quality. The development of the inventories and datasets was made possible by means of a data collection carried out with an analysis of the scientific literature and with a series of meetings held with the designers of the Italferr company. Using this information and data, it was possible to develop 8 different inventories and related LCIA, and 3 specific datasets for the trench, embankment and track structures. The data collection activities allowed a good level of information to be revealed and, also, several gaps were identified, which deserve further activities in terms of data and information collection and development.
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OU, DONGYI. "State of the art of Life Cycle Inventory data for electric vehicle batteries." Thesis, KTH, Hållbar utveckling, miljövetenskap och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-219480.

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Spivak, Alexander. "A Theoretical Model for Life Cycle Inventory Analysis using a Disaggregated Hybrid Methodology." University of Toledo / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1310035001.

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Pang, Shih-Hao. "Life Cycle Inventory Incorporating Fuel Cycle and Real-World In-Use Measurement Data for Construction Equipment and Vehicles." NCSU, 2008. http://web.lib.ncsu.edu/theses/available/etd-12152007-080346/.

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Biodiesel is an alternative fuel that can be made from vegetable oils or animal fat. This study focuses on whether substitution of soy-based biodiesel fuels for petroleum diesel would produce an overall reduction in emissions of selected pollutants. A life cycle inventory model was developed to estimate energy consumption and emissions of selected pollutants and greenhouse gases. Real-world measurements using portable emission measurement system (PEMS) were made for 15 construction vehicles, including five backhoes, four front-end loaders, and six motor graders on both petroleum diesel and soy-based B20 biodiesel. These data are used as the basis for vehicle tailpipe emission factors of CO2, CO, HC, NOx, and PM. The results imply that biodiesel is a promising alternative fuel for diesel, but that there are some environmental trade-offs. Analysis of empirical data reveals that intra-vehicle variability of energy use and emissions is strongly influenced by vehicle activity that leads to variations in engine load, as represented by manifold absolute pressure (MAP). Vehicle-specific models for fuel use and tailpipe emissions were developed for each of the 30 construction vehicle. The time-based regression model has the highest explanatory ability among six models and is recommended in order to predict fuel use and emission rate for diesel-fueled nonroad construction equipment. Representative duty cycles for each type of vehicles were characterized by a frequency distribution of normalized manifold absolute pressure (MAP). In order to assess the variations of fuel use and emissions among different duty cycles, for a given engine, the inter-cycle variability is assessed. In order to assess the variations of fuel use and emissions among engines, for a given duty cycle, the inter-engine variability is assessed. The results indicated time-based inter-cycle and inter-engine variations of fuel use and emissions are significant. Fuel-based emission factors have less variability among cycles and engines than time-based emission factors. Fuel-based emission factors are more robust with respect to inter-engine and inter-cycle variations and are recommended in order to develop an emissions inventory for nonroad construction vehicles. Real-world in-use measurements should be a basis for developing duty cycle correction factors in models such as NONROAD.
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Books on the topic "Life Cycle Inventory"

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Ciroth, Andreas, and Rickard Arvidsson, eds. Life Cycle Inventory Analysis. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62270-1.

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Beaufort-Langeveld, Angeline S. H. de 1947- and SETAC (Society), eds. Code of life-cycle inventory practice. Pensacola, Fla: Society of Environmental Toxicology and Chemistry, 2003.

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W, Vigon B., ed. Life-cycle assessment, inventory guidelines and principles. Boca Raton, FL: Lewis Publishers, 1994.

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McCurry, Larry. Managing inventory through the product life cycle. [s.l: The Author], 1993.

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Inc, Roy F. Weston. Life cycle inventory report for the North American aluminum industry. Washington, D.C: Aluminum Association, 1998.

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American Forest & Paper Association. and North American-European LCA Working Group Conference (1993 : Paris), eds. Life cycle inventory analysis: User's guide : enhanced methods and applications for the products of the forest industry. Washington, DC: American Forest & Paper Association, 1996.

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(Society), SETAC. Code of Life-Cycle Inventory Practice. Society of Environmental Toxicology & Chemist, 2003.

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Ciroth, Andreas, and Rickard Arvidsson. Life Cycle Inventory Analysis: Methods and Data. Springer International Publishing AG, 2022.

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Life-cycle assessment: Inventory guidelines and principles. Cincinnati, Ohio: U.S. Environmental Protection Agency, 1993.

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Curran, Mary Ann, and Battelle Memorial Battelle Memorial Institute. Life-Cycle Assessment: Inventory Guidelines and Principles. Taylor & Francis Group, 2020.

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Book chapters on the topic "Life Cycle Inventory"

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Bjørn, Anders, Andreas Moltesen, Alexis Laurent, Mikołaj Owsianiak, Andrea Corona, Morten Birkved, and Michael Z. Hauschild. "Life Cycle Inventory Analysis." In Life Cycle Assessment, 117–65. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56475-3_9.

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Wu, You, and Daizhong Su. "Life Cycle Inventory Management." In Sustainable Product Development, 153–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39149-2_8.

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Zimmermann, Peter, Rolf Frischknecht, and Martin Ménard. "Background Inventory Data." In Life Cycle Assessment (LCA) — Quo vadis?, 39–49. Basel: Birkhäuser Basel, 1996. http://dx.doi.org/10.1007/978-3-0348-9022-9_4.

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Moreau, Vincent, Gontran Bage, Denis Marcotte, and Réjean Samson. "Modelling the Inventory of Hydropower Plants." In Towards Life Cycle Sustainability Management, 443–50. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1899-9_43.

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Arvidsson, Rickard, and Andreas Ciroth. "Introduction to “Life Cycle Inventory Analysis”." In LCA Compendium – The Complete World of Life Cycle Assessment, 1–14. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62270-1_1.

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Ciroth, Andreas, and Salwa Burhan. "Life Cycle Inventory Data and Databases." In LCA Compendium – The Complete World of Life Cycle Assessment, 123–47. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62270-1_6.

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Arvidsson, Rickard. "Inventory Indicators in Life Cycle Assessment." In LCA Compendium – The Complete World of Life Cycle Assessment, 171–90. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62270-1_8.

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Srocka, Michael, and Flavio Montiel. "Algorithms of Life Cycle Inventory Analysis." In LCA Compendium – The Complete World of Life Cycle Assessment, 149–70. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62270-1_7.

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Heijungs, Reinout, and Sangwon Suh. "Beyond the inventory analysis." In The Computational Structure of Life Cycle Assessment, 161–87. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-015-9900-9_8.

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Heijungs, Reinout, and Sangwon Suh. "Advanced topics in inventory analysis." In The Computational Structure of Life Cycle Assessment, 99–116. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-015-9900-9_4.

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Conference papers on the topic "Life Cycle Inventory"

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Kobayashi, Osamu. "Car Life Cycle Inventory Assessment." In 1997 Total Life Cycle Conference and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1997. http://dx.doi.org/10.4271/971199.

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Vigon, Bruce W. "Life-Cycle Inventory: Data Quality Issues." In 1997 Total Life Cycle Conference and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1997. http://dx.doi.org/10.4271/971162.

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Kreucher, Walter M. "Economic, Environmental and Energy Life-Cycle Inventory of Automotive Fuels." In Total Life Cycle Conference & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1998. http://dx.doi.org/10.4271/982218.

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Sauer, Beverly J., and William E. Franklin. "How to Perform a Life Cycle Inventory." In 1997 Total Life Cycle Conference and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1997. http://dx.doi.org/10.4271/971208.

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Ekvall, Tomas. "Moral Philosophy, Economics, and Life Cycle Inventory Analysis." In Total Life Cycle Conference and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2000. http://dx.doi.org/10.4271/2000-01-1479.

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Lankey, Rebecca, Francis Mcmichael, Heather Maclean, and Lester Lave. "Alternative Vehicle Power Sources: Towards a Life Cycle Inventory." In Total Life Cycle Conference and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2000. http://dx.doi.org/10.4271/2000-01-1478.

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Yamato, Masako, and Yoshihito Mituhara. "Life Cycle Inventory Study of Automotive Fuel Tank." In 1997 Total Life Cycle Conference and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1997. http://dx.doi.org/10.4271/971177.

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Martchek, Kenneth J., Steve Pomper, and John Green. "Credible Life Cycle Inventory Data for Studies of Automotive Aluminum." In Total Life Cycle Conference and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2000. http://dx.doi.org/10.4271/2000-01-1497.

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Sullivan, John L., Ronald L. Williams, Susan Yester, Elisa Cobas-Flores, Scott T. Chubbs, Steven G. Hentges, and Steven D. Pomper. "Life Cycle Inventory of a Generic U.S. Family Sedan Overview of Results USCAR AMP Project." In Total Life Cycle Conference & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1998. http://dx.doi.org/10.4271/982160.

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Brady, Kevin. "Life Cycle Inventory of a Generic US Family Sedan Contribution of the Peer Review Process." In Total Life Cycle Conference & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1998. http://dx.doi.org/10.4271/982170.

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Reports on the topic "Life Cycle Inventory"

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none,. U.S. Life Cycle Inventory Database Roadmap. Office of Scientific and Technical Information (OSTI), August 2009. http://dx.doi.org/10.2172/1219123.

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Deru, M. U.S. Life Cycle Inventory Database Roadmap (Brochure). Office of Scientific and Technical Information (OSTI), August 2009. http://dx.doi.org/10.2172/963563.

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Stolz, Philippe, Rolf Frischknecht, Karsten Wambach, Parikhit Sinha, and Garvin A. Heath. Life Cycle Inventory of Current Photovoltaic Module Recycling Processes in Europe. Office of Scientific and Technical Information (OSTI), February 2018. http://dx.doi.org/10.2172/1561521.

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Wambach, Karsten, Garvin A. Heath, and Cara Libby. Life Cycle Inventory of Current Photovoltaic Module Recycling Processes in Europe. Office of Scientific and Technical Information (OSTI), January 2018. http://dx.doi.org/10.2172/1561522.

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FTHENAKIS, V. M., H. C. KIM, and W. WANG. LIFE CYCLE INVENTORY ANALYSIS IN THE PRODUCTION OF METALS USED IN PHOTOVOLTAICS. Office of Scientific and Technical Information (OSTI), March 2007. http://dx.doi.org/10.2172/909957.

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Skone, Timothy J., James Littlefield, and Joe Marriott. Life Cycle Greenhouse Gas Inventory of Natural Gas Extraction, Delivery and Electricity Production. Office of Scientific and Technical Information (OSTI), October 2011. http://dx.doi.org/10.2172/1515238.

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Littlefield, James, Joe Marriott, and Timothy J. Skone. Life Cycle Greenhouse Gas Inventory Sensitivity to Changes in Natural Gas System Parameters. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1526719.

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Iyer, Rakesh, and Jarod Kelly. Life-Cycle Inventory of Critical Materials: Nickel, Copper, Titanium, and Rare-Earth Elements. Office of Scientific and Technical Information (OSTI), December 2022. http://dx.doi.org/10.2172/1905473.

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9

Dissanayake, N. Guidelines and recommendations for data collection in life cycle inventory (LCI) for composites. National Physical Laboratory, July 2023. http://dx.doi.org/10.47120/npl.mat121.

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Sheehan, John, Vince Camobreco, James Duffield, Michael Graboski, Michael Graboski, and Housein Shapouri. Life Cycle Inventory of Biodiesel and Petroleum Diesel for Use in an Urban Bus. Office of Scientific and Technical Information (OSTI), May 1998. http://dx.doi.org/10.2172/1218369.

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