Life Cycle Analysis
Life Cycle Analysis (LCA) is an approach to assessing environmental impacts that looks at the whole life cycle of a product, process or service rather than just a small part, such as the use or the manufacture. Over the last 30 years, life cycle thinking has become accepted as an accurate method for assessing total life impact and enabling engineers, scientists and consumers to make like comparisons of products, processes and services.
This learning module aims to introduce the concept of LCA, show the existing methodologies, and especially the ISO 1404x series and through a case study show how LCA can be applied to an environmental assessment.
Life-cycle assessment (LCA, also known as life-cycle analysis, ecobalance, and cradle-to-grave analysis) is a technique to assess environmental impacts associated with all the stages of a product's life from raw material extraction through materials processing, manufacture, distribution, use, repair and maintenance, and disposal or recycling. Designers use this process to help critique their products. LCAs can help avoid a narrow outlook on environmental concerns by:
- Compiling an inventory of relevant energy and material inputs and environmental releases;
- Evaluating the potential impacts associated with identified inputs and releases;
- Interpreting the results to help make a more informed decision.
- (Sustainable Development Goals) Explain why a Life Cycle Analysis is important for assessing the sustainbility of considered products and services.
- (Decision Support) Explain why a Life Cycle Analysis is important for a decision support system.
Goals and purposeEdit
The goal of LCA is to compare the full range of environmental effects assignable to products and services by quantifying all inputs and outputs of material flows and assessing how these material flows affect the environment. This information is used to improve processes, support policy and provide a sound basis for informed decisions.
The term life cycle refers to the notion that a fair, holistic assessment requires the assessment of raw-material production, manufacture, distribution, use and disposal including all intervening transportation steps necessary or caused by the product's existence.
There are two main types of LCA. Attributional LCAs seek to establish (or attribute) the burdens associated with the production and use of a product, or with a specific service or process, at a point in time (typically the recent past). Consequential LCAs seek to identify the environmental consequences of a decision or a proposed change in a system under study (oriented to the future), which means that market and economic implications of a decision may have to be taken into account. Social LCA is under development as a different approach to life cycle thinking intended to assess social implications or potential impacts. Social LCA should be considered as an approach that is complementary to environmental LCA.
The procedures of life cycle assessment (LCA) are part of the ISO 14000 environmental management standards: in ISO 14040:2006 and 14044:2006. (ISO 14044 replaced earlier versions of ISO 14041 to ISO 14043.) GHG product life cycle assessments can also comply with specifications such as PAS 2050 and the GHG Protocol Life Cycle Accounting and Reporting Standard.
Four main phasesEdit
According to the ISO 14040 and 14044 standards, a Life Cycle Assessment is carried out in four distinct phases as illustrated in the figure shown to the right. The phases are often interdependent in that the results of one phase will inform how other phases are completed.
Goal and scopeEdit
An LCA starts with an explicit statement of the goal and scope of the study, which sets out the context of the study and explains how and to whom the results are to be communicated. This is a key step and the ISO standards require that the goal and scope of an LCA be clearly defined and consistent with the intended application. The goal and scope document, therefore, includes technical details that guide subsequent work:
- the functional unit, which defines what precisely is being studied and quantifies the service delivered by the product system, providing a reference to which the inputs and outputs can be related. Further, the functional unit is an important basis that enables alternative goods, or services, to be compared and analyzed. So to explain this a functional system which is inputs, processes and outputs contains a functional unit, that fulfills a function, for example paint is covering a wall, making a functional unit of 1m² covered for 10 years. The functional flow would be the items necessary for that function, so this would be a brush, tin of paint and the paint itself.
- the system boundaries; which are delimitations of which processes that should be included in the analysis of a product system.
- any assumptions and limitations;
- the allocation methods used to partition an environmental load of a process when several products or functions share the same process; allocation is commonly dealt with in one of three ways: system expansion, substitution, and partition. Doing this is not easy and different methods may give different results
Life cycle inventoryEdit
Life Cycle Inventory (LCI) analysis involves creating an inventory of flows from and to nature for a product system. Inventory flows include inputs of water, energy, and raw materials, and releases to air, land, and water. To develop the inventory, a flow model of the technical system is constructed using data on inputs and outputs. The flow model is typically illustrated with a flow chart that includes the activities that are going to be assessed in the relevant supply chain and gives a clear picture of the technical system boundaries. The input and output data needed for the construction of the model are collected for all activities within the system boundary, including from the supply chain (referred to as inputs from the technosphere).
The data must be related to the functional unit defined in the goal and scope definition. Data can be presented in tables and some interpretations can be made already at this stage. The results of the inventory is an LCI which provides information about all inputs and outputs in the form of elementary flow to and from the environment from all the unit processes involved in the study.
Inventory flows can number in the hundreds depending on the system boundary. For product LCAs at either the generic (i.e., representative industry averages) or brand-specific level, that data is typically collected through survey questionnaires. At an industry level, care has to be taken to ensure that questionnaires are completed by a representative sample of producers, leaning toward neither the best nor the worst, and fully representing any regional differences due to energy use, material sourcing or other factors. The questionnaires cover the full range of inputs and outputs, typically aiming to account for 99% of the mass of a product, 99% of the energy used in its production and any environmentally sensitive flows, even if they fall within the 1% level of inputs.
One area where data access is likely to be difficult is flows from the technosphere. The technosphere is more simply defined as the human-made world. Considered by geologists as secondary resources, these resources are in theory 100% recyclable; however, in a practical sense, the primary goal is salvage. For an LCI, these technosphere products (supply chain products) are those that have been produced by human and unfortunately those completing a questionnaire about a process which uses a human-made product as a means to an end will be unable to specify how much of a given input they use. Typically, they will not have access to data concerning inputs and outputs for previous production processes of the product. The entity undertaking the LCA must then turn to secondary sources if it does not already have that data from its own previous studies. National databases or data sets that come with LCA-practitioner tools, or that can be readily accessed, are the usual sources for that information. Care must then be taken to ensure that the secondary data source properly reflects regional or national conditions.
- Process LCA
- Economic Input Output LCA
- Hybrid Approach
Life cycle impact assessmentEdit
Inventory analysis is followed by impact assessment. This phase of LCA is aimed at evaluating the significance of potential environmental impacts based on the LCI flow results. Classical life cycle impact assessment (LCIA) consists of the following mandatory elements:
- selection of impact categories, category indicators, and characterization models;
- the classification stage, where the inventory parameters are sorted and assigned to specific impact categories; and
- impact measurement, where the categorized LCI flows are characterized, using one of many possible LCIA methodologies, into common equivalence units that are then summed to provide an overall impact category total.
In many LCAs, characterization concludes the LCIA analysis; this is also the last compulsory stage according to ISO 14044:2006. However, in addition to the above mandatory LCIA steps, other optional LCIA elements – normalization, grouping, and weighting – may be conducted depending on the goal and scope of the LCA study. In normalization, the results of the impact categories from the study are usually compared with the total impacts in the region of interest, the U.S. for example. Grouping consists of sorting and possibly ranking the impact categories. During weighting, the different environmental impacts are weighted relative to each other so that they can then be summed to get a single number for the total environmental impact. ISO 14044:2006 generally advises against weighting, stating that “weighting, shall not be used in LCA studies intended to be used in comparative assertions intended to be disclosed to the public”. This advice is often ignored, resulting in comparisons that can reflect a high degree of subjectivity as a result of weighting.
Life cycle impacts can also be categorized under the several phases of the development, production, use, and disposal of a product. Broadly speaking, these impacts can be divided into "First Impacts," use impacts, and end of life impacts. "First Impacts" include extraction of raw materials, manufacturing (conversion of raw materials into a product), transportation of the product to a market or site, construction/installation, and the beginning of the use or occupancy. Use impacts include physical impacts of operating the product or facility (such as energy, water, etc.), maintenance, renovation and repairs (required to continue to use the product or facility). End of life impacts include demolition and processing of waste or recyclable materials.
Life Cycle Interpretation is a systematic technique to identify, quantify, check, and evaluate information from the results of the life cycle inventory and/or the life cycle impact assessment. The results from the inventory analysis and impact assessment are summarized during the interpretation phase. The outcome of the interpretation phase is a set of conclusions and recommendations for the study. According to ISO 14040:2006, the interpretation should include:
- identification of significant issues based on the results of the LCI and LCIA phases of an LCA;
- evaluation of the study considering completeness, sensitivity and consistency checks; and
- conclusions, limitations and recommendations.
A key purpose of performing life cycle interpretation is to determine the level of confidence in the final results and communicate them in a fair, complete, and accurate manner. Interpreting the results of an LCA is not as simple as "3 is better than 2, therefore Alternative A is the best choice"! Interpreting the results of an LCA starts with understanding the accuracy of the results, and ensuring they meet the goal of the study. This is accomplished by identifying the data elements that contribute significantly to each impact category, evaluating the sensitivity of these significant data elements, assessing the completeness and consistency of the study, and drawing conclusions and recommendations based on a clear understanding of how the LCA was conducted and the results were developed.
More specifically, the best alternative is the one that the LCA shows to have the least cradle-to-grave environmental negative impact on land, sea, and air resources.
Based on a survey of LCA practitioners carried out in 2006 LCA is mostly used to support business strategy (18%) and R&D (18%), as input to product or process design (15%), in education (13%) and for labeling or product declarations (11%). LCA will be continuously integrated into the built environment as tools such as the European ENSLIC Building project guidelines for buildings or developed and implemented, which provide practitioners guidance on methods to implement LCI data into the planning and design process.
Major corporations all over the world are either undertaking LCA in house or commissioning studies, while governments support the development of national databases to support LCA. Of particular note is the growing use of LCA for ISO Type III labels called Environmental Product Declarations, defined as "quantified environmental data for a product with pre-set categories of parameters based on the ISO 14040 series of standards, but not excluding additional environmental information". These third-party certified LCA-based labels provide an increasingly important basis for assessing the relative environmental merits of competing products. Third-party certification plays a major role in today's industry. Independent certification can show a company's dedication to safer and environmental friendlier products to customers and NGOs.
LCA also has major roles in environmental impact assessment, integrated waste management and pollution studies. A recent study evaluated the LCA of a laboratory scale plant for oxygen enriched air production coupled with its economic evaluation in an holistic eco-design standpoint. LCA has also been used to assess the environmental impacts of pavement maintenance, repair, and rehabilitation activities.
A life cycle analysis is only as valid as its data; therefore, it is crucial that data used for the completion of a life cycle analysis are accurate and current. When comparing different life cycle analyses with one another, it is crucial that equivalent data are available for both products or processes in question. If one product has a much higher availability of data, it cannot be justly compared to another product which has less detailed data.
There are two basic types of LCA data – unit process data and environmental input-output data (EIO), where the latter is based on national economic input-output data. Unit process data are derived from direct surveys of companies or plants producing the product of interest, carried out at a unit process level defined by the system boundaries for the study.
Data validity is an ongoing concern for life cycle analyses. Due to globalization and the rapid pace of research and development, new materials and manufacturing methods are continually being introduced to the market. This makes it both very important and very difficult to use up-to-date information when performing an LCA. If an LCA’s conclusions are to be valid, the data must be recent; however, the data-gathering process takes time. If a product and its related processes have not undergone significant revisions since the last LCA data was collected, data validity is not a problem. However, consumer electronics such as cell phones can be redesigned as often as every 9 to 12 months, creating a need for ongoing data collection.
The life cycle considered usually consists of a number of stages including: materials extraction, processing and manufacturing, product use, and product disposal. If the most environmentally harmful of these stages can be determined, then impact on the environment can be efficiently reduced by focusing on making changes for that particular phase. For example, the most energy-intensive life phase of an airplane or car is during use due to fuel consumption. One of the most effective ways to increase fuel efficiency is to decrease vehicle weight, and thus, car and airplane manufacturers can decrease environmental impact in a significant way by replacing heavier materials with lighter ones such as aluminium or carbon fiber-reinforced elements. The reduction during the use phase should be more than enough to balance additional raw material or manufacturing cost.
Data sources are typically large databases. It is not appropriate to compare two options if different data sources have been used to source the data. Common data sources include:
Calculations for impact can then be done by hand, but it is more usual to streamline the process by using software. This can range from a simple spreadsheet, where the user enters the data manually to a fully automated program, where the user is not aware of the source data.
Cradle-to-grave is the full Life Cycle Assessment from resource extraction ('cradle') to use phase and disposal phase ('grave'). For example, trees produce paper, which can be recycled into low-energy production cellulose (fiberised paper) insulation, then used as an energy-saving device in the ceiling of a home for 40 years, saving 2,000 times the fossil-fuel energy used in its production. After 40 years the cellulose fibers are replaced and the old fibers are disposed of, possibly incinerated. All inputs and outputs are considered for all the phases of the life cycle.
Cradle-to-gate is an assessment of a partial product life cycle from resource extraction (cradle) to the factory gate (i.e., before it is transported to the consumer). The use phase and disposal phase of the product are omitted in this case. Cradle-to-gate assessments are sometimes the basis for environmental product declarations (EPD) termed business-to-business EPDs. One of the significant uses of the cradle-to-gate approach compiles the life cycle inventory (LCI) using cradle-to-gate. This allows the LCA to collect all of the impacts leading up to resources being purchased by the facility. They can then add the steps involved in their transport to plant and manufacture process to more easily produce their own cradle-to-gate values for their products.
Cradle-to-cradle or closed loop productionEdit
Cradle-to-cradle is a specific kind of cradle-to-grave assessment, where the end-of-life disposal step for the product is a recycling process. It is a method used to minimize the environmental impact of products by employing sustainable production, operation, and disposal practices and aims to incorporate social responsibility into product development. From the recycling process originate new, identical products (e.g., asphalt pavement from discarded asphalt pavement, glass bottles from collected glass bottles), or different products (e.g., glass wool insulation from collected glass bottles).
Allocation of burden for products in open loop production systems presents considerable challenges for LCA. Various methods, such as the avoided burden approach have been proposed to deal with the issues involved.
Gate-to-gate is a partial LCA looking at only one value-added process in the entire production chain. Gate-to-gate modules may also later be linked in their appropriate production chain to form a complete cradle-to-gate evaluation.
Well-to-wheel is the specific LCA used for transport fuels and vehicles. The analysis is often broken down into stages entitled "well-to-station", or "well-to-tank", and "station-to-wheel" or "tank-to-wheel", or "plug-to-wheel". The first stage, which incorporates the feedstock or fuel production and processing and fuel delivery or energy transmission, and is called the "upstream" stage, while the stage that deals with vehicle operation itself is sometimes called the "downstream" stage. The well-to-wheel analysis is commonly used to assess total energy consumption, or the energy conversion efficiency and emissions impact of marine vessels, aircraft and motor vehicles, including their carbon footprint, and the fuels used in each of these transport modes. WtW analysis is useful for reflecting the different efficiencies and emissions of energy technologies and fuels at both the upstream and downstream stages, giving a more complete picture of real emissions.
The well-to-wheel variant has a significant input on a model developed by the Argonne National Laboratory. The Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREET) model was developed to evaluate the impacts of new fuels and vehicle technologies. The model evaluates the impacts of fuel use using a well-to-wheel evaluation while a traditional cradle-to-grave approach is used to determine the impacts from the vehicle itself. The model reports energy use, greenhouse gas emissions, and six additional pollutants: volatile organic compounds (VOCs), carbon monoxide (CO), nitrogen oxide (NOx), particulate matter with size smaller than 10 micrometre (PM10), particulate matter with size smaller than 2.5 micrometre (PM2.5), and sulfur oxides (SOx).
Quantitative values of greenhouse gas emissions calculated with the WTW or with the LCA method can differ, since the LCA is considering more emission sources. In example, while assessing the GHG emissions of a Battery Electric Vehicle in comparison with a conventional internal combustion engine vehicle, the WTW (accounting only the GHG for manufacturing the fuels) finds out that an electric vehicle can save the 50-60% of GHG, while an hybrid LCA-WTW method, considering also the GHG due to the manufacturing and the end of life of the battery gives GHG emission savings 10-13% lower, compared to the WTW.
Economic input–output life cycle assessmentEdit
Economic input–output LCA (EIOLCA) involves use of aggregate sector-level data on how much environmental impact can be attributed to each sector of the economy and how much each sector purchases from other sectors. Such analysis can account for long chains (for example, building an automobile requires energy, but producing energy requires vehicles, and building those vehicles requires energy, etc.), which somewhat alleviates the scoping problem of process LCA; however, EIOLCA relies on sector-level averages that may or may not be representative of the specific subset of the sector relevant to a particular product and therefore is not suitable for evaluating the environmental impacts of products. Additionally the translation of economic quantities into environmental impacts is not validated.
Ecologically based LCAEdit
While a conventional LCA uses many of the same approaches and strategies as an Eco-LCA, the latter considers a much broader range of ecological impacts. It was designed to provide a guide to wise management of human activities by understanding the direct and indirect impacts on ecological resources and surrounding ecosystems. Developed by Ohio State University Center for resilience, Eco-LCA is a methodology that quantitatively takes into account regulating and supporting services during the life cycle of economic goods and products. In this approach services are categorized in four main groups: supporting, regulating, provisioning and cultural services.
Exergy based LCAEdit
Exergy of a system is the maximum useful work possible during a process that brings the system into equilibrium with a heat reservoir. Wall  clearly states the relation between exergy analysis and resource accounting. This intuition confirmed by DeWulf  and Sciubba  lead to Exergo-economic accounting  and to methods specifically dedicated to LCA such as Exergetic material input per unit of service (EMIPS). The concept of material input per unit of service (MIPS) is quantified in terms of the second law of thermodynamics, allowing the calculation of both resource input and service output in exergy terms. This exergetic material input per unit of service (EMIPS) has been elaborated for transport technology. The service not only takes into account the total mass to be transported and the total distance, but also the mass per single transport and the delivery time.
Life cycle energy analysisEdit
Life cycle energy analysis (LCEA) is an approach in which all energy inputs to a product are accounted for, not only direct energy inputs during manufacture, but also all energy inputs needed to produce components, materials and services needed for the manufacturing process. An earlier term for the approach was energy analysis.
With LCEA, the total life cycle energy input is established.
It is recognized that much energy is lost in the production of energy commodities themselves, such as nuclear energy, photovoltaic electricity or high-quality petroleum products. Net energy content is the energy content of the product minus energy input used during extraction and conversion, directly or indirectly. A controversial early result of LCEA claimed that manufacturing solar cells requires more energy than can be recovered in using the solar cell . The result was refuted. Another new concept that flows from life cycle assessments is energy cannibalism. Energy cannibalism refers to an effect where rapid growth of an entire energy-intensive industry creates a need for energy that uses (or cannibalizes) the energy of existing power plants. Thus during rapid growth the industry as a whole produces no energy because new energy is used to fuel the embodied energy of future power plants. Work has been undertaken in the UK to determine the life cycle energy (alongside full LCA) impacts of a number of renewable technologies.
If materials are incinerated during the disposal process, the energy released during burning can be harnessed and used for electricity production. This provides a low-impact energy source, especially when compared with coal and natural gas While incineration produces more greenhouse gas emissions than landfills, the waste plants are well-fitted with filters to minimize this negative impact. A recent study comparing energy consumption and greenhouse gas emissions from landfills (without energy recovery) against incineration (with energy recovery) found incineration to be superior in all cases except for when landfill gas is recovered for electricity production.
It has also been argued that energy efficiency is only one consideration in deciding which alternative process to employ, and that it should not be elevated to the only criterion for determining environmental acceptability. Incorporating Dynamic LCAs of renewable energy technologies (using sensitivity analyses to project future improvements in renewable systems and their share of the power grid) may help mitigate this criticism.For example, simple energy analysis does not take into account the renewability of energy flows or the toxicity of waste products;.
In recent years, the literature on life cycle assessment of energy technology has begun to reflect the interactions between the current electrical grid and future energy technology. Some papers have focused on energy life cycle, while others have focused on carbon dioxide (CO2) and other greenhouse gases. The essential critique given by these sources is that when considering energy technology, the growing nature of the power grid must be taken into consideration. If this is not done, a given class of energy technology may emit more CO2 over its lifetime than it initially thought it would mitigate, with this most well documented in wind energy's case.
A problem the energy analysis method cannot resolve is that different energy forms (heat, electricity, chemical energy etc.) have different quality and value even in natural sciences, as a consequence of the two main laws of thermodynamics. A thermodynamic measure of the quality of energy is exergy. According to the first law of thermodynamics, all energy inputs should be accounted with equal weight, whereas by the second law diverse energy forms should be accounted by different values.
The conflict is resolved in one of these ways:
- value difference between energy inputs is ignored,
- a value ratio is arbitrarily assigned (e.g., a joule of electricity is 2.6 times more valuable than a joule of heat or fuel input),
- the analysis is supplemented by economic (monetary) cost analysis,
- exergy instead of energy can be the metric used for the life cycle analysis.
Life cycle assessment is a powerful tool for analyzing commensurable aspects of quantifiable systems. Not every factor, however, can be reduced to a number and inserted into a model. Rigid system boundaries make accounting for changes in the system difficult. This is sometimes referred to as the boundary critique to systems thinking. The accuracy and availability of data can also contribute to inaccuracy. For instance, data from generic processes may be based on averages, unrepresentative sampling, or outdated results. Additionally, social implications of products are generally lacking in LCAs. Comparative life-cycle analysis is often used to determine a better process or product to use. However, because of aspects like differing system boundaries, different statistical information, different product uses, etc., these studies can easily be swayed in favor of one product or process over another in one study and the opposite in another study based on varying parameters and different available data. There are guidelines to help reduce such conflicts in results but the method still provides a lot of room for the researcher to decide what is important, how the product is typically manufactured, and how it is typically used.
An in-depth review of 13 LCA studies of wood and paper products found a lack of consistency in the methods and assumptions used to track carbon during the product lifecycle. A wide variety of methods and assumptions were used, leading to different and potentially contrary conclusions – particularly with regard to carbon sequestration and methane generation in landfills and with carbon accounting during forest growth and product use.
- Agroecosystem analysis
- Anthropogenic metabolism
- Carbon footprint
- Circular Economy
- Cradle to Cradle
- Design for Environment
- Dimension stone Stone: life-cycle assessment and best practices
- End-of-life (product)
- Environmental pricing reform
- Greenhouse gas
- GREET Model
- Industrial ecology
- ISO 15686
- Industrial metabolism
- Life-cycle greenhouse-gas emissions of energy sources
- Water footprint
- Whole-life cost
- "Defining Life Cycle Assessment (LCA)." US Environmental Protection Agency. 17 October 2010. Web.
- "Life Cycle Assessment (LCA)." US Environmental Protection Agency. 6 August 2010. Web.
- "Life Cycle Assessment (LCA) Overview". sftool.gov. Retrieved 1 July 2014.
- "GHG Product Life Cycle Assessments". Ecometrica. Retrieved on: 25 April 2013.
- Guidelines for Social Life Cycle Assessment of Products Archived 18 January 2012 at the Wayback Machine., United Nations Environment Programme, 2009
- "PAS 2050:2011 Specification for the assessment of the life cycle greenhouse gas emissions of goods and services". BSI. Retrieved on: 25 April 2013.
- "Product Life Cycle Accounting and Reporting Standard" Archived 9 May 2013 at the Wayback Machine.. GHG Protocol. Retrieved on: 25 April 2013.
- ISO 14040 (2006): Environmental management – Life cycle assessment – Principles and framework, International Organisation for Standardisation (ISO), Geneve
- ISO 14044 (2006): Environmental management – Life cycle assessment – Requirements and guidelines, International Organisation for Standardisation (ISO), Geneve
- Rebitzer, G. et al. (2004). Life cycle assessment Part 1: Framework, goal and scope definition, inventory analysis, and applications. Environment International. 30(2004), 701-720.
- Finnveden, G., Hauschild, M.Z., Ekvall, T., Guinée, J., Heijungs, R., Hellweq, S., Koehler, A., Pennington, D. & Suh, S. (2009). Recent developments in Life Cycle Assessment. Journal of Environmental Management 91(1), 1-21.
- Steinbach, V. and Wellmer, F. (May 2010). "Review: Consumption and Use of Non-Renewable Mineral and Energy Raw Materials from an Economic Geology Point of View." Sustainability. 2(5), pgs. 1408-1430. Retrieved from <http://www.mdpi.com/2071-1050/2/5/1408>
- Rich, Brian D. Future-Proof Building Materials: A Life Cycle Analysis. Intersections and Adjacencies. Proceedings of the 2015 Building Educators’ Society Conference, University of Utah, Salt Lake City, UT. Gines, Jacob, Carraher, Erin, and Galarze, Jose, editors. Pp. 123-130.
- Curran, Mary Ann. "Life Cycle Analysis: Principles and Practice" (PDF). Scientific Applications International Corporation. Archived from the original (PDF) on 18 October 2011. Retrieved 24 October 2011. Unknown parameter
- Cooper, J.S.; Fava, J. (2006). "Life Cycle Assessment Practitioner Survey: Summary of Results". Journal of Industrial Ecology 10 (4): 12–14. doi:10.1162/jiec.2006.10.4.12.
- Malmqvist, T; Glaumann, M; Scarpellini, S; Zabalza, I; Aranda, A (April 2011). "Life cycle assessment in buildings: The ENSLIC simplified method and guidelines". Energy 36 (4): 1900–1907. doi:10.1016/j.energy.2010.03.026.
- S. Singh; B. R. Bakshi (2009). Eco-LCA: A Tool for Quantifying the Role of Ecological Resources in LCA. International Symposium on Sustainable Systems and Technology. pp. 1–6. doi:10.1109/ISSST.2009.5156770. ISBN 978-1-4244-4324-6.
- EPD_System – www.thegreenstandard.org
- Galli, F; Pirola, C; Previtali, D; Manenti, F; Bianchi, C (April 2017). "Eco design LCA of an innovative lab scale plant for the production of oxygen-enriched air. Comparison between economic and environmental assessment". Journal of Cleaner Production 171: 147–152. doi:10.1016/j.jclepro.2017.09.268.
- Salem, O., & Ghorai, S. (2015). Environmental Life-Cycle Assessment of Pavement Maintenance, Repair and Rehabilitation Activities. TRB 94th Annual Meeting. Washington, D.C.: Transportation Research Board. https://trid.trb.org/view/1338519
- Scientific Applications International Corporation (May 2006). "Life cycle assessment: principles and practice" (PDF). p. 88. Archived from the original (PDF) on 23 November 2009. Unknown parameter
- "How Does GREET Work?". Argonne National Laboratory. 3 September 2010. Retrieved 28 February 2011.
- Suzanne Choney (24 February 2009). "Planned obsolescence: cell phone models". MSNBC. Retrieved 5 May 2013.
- "Data License: CEDA 5". VitalMetrics. Retrieved 20 September 2018.
- EPD-The Green Yardstick
- Franklin Associates, A Division of Eastern Research Group. "Cradle-to-gate Life Cycle Inventory of Nine Plastic Resins and Four Polyurethane Precursors" (PDF). The Plastics Division of the American Chemistry Council. Archived from the original (PDF) on 6 February 2011. Retrieved 31 October 2012. Unknown parameter
- "Cradle-to-cradle definition." Ecomii. 19 October 2010. Web. <http://www.ecomii.com/ecopedia/cradle-to-cradle>.
- Jiménez-González, C.; Kim, S.; Overcash, M. Methodology for developing gate-to-gate Life cycle inventory information. The International Journal of Life Cycle Assessment 2000, 5, 153–159.
- Brinkman, Norman; Wang, Michael; Weber, Trudy; Darlington, Thomas (May 2005). "Well-to-Wheels Analysis of Advanced Fuel/Vehicle Systems — A North American Study of Energy Use, Greenhouse Gas Emissions, and Criteria Pollutant Emissions" (PDF). Argonne National Laboratory. Retrieved 28 February 2011. See EXECUTIVE SUMMARY – ES.1 Background, pp1.
- Brinkman, Norman; Eberle, Ulrich; Formanski, Volker; Grebe, Uwe-Dieter; Matthe, Roland (15 April 2012). Vehicle Electrification - Quo Vadis. VDI. doi:10.13140/2.1.2638.8163. https://www.researchgate.net/publication/233987248. Retrieved 27 April 2013.
- "Full Fuel Cycle Assessment: Well-To-Wheels Energy Inputs, Emissions, and Water Impacts" (PDF). California Energy Commission. 1 August 2007. Retrieved 28 February 2011.
- "Green Car Glossary: Well to wheel". Car Magazine. Archived from the original on 4 May 2011. Retrieved 28 February 2011. Unknown parameter
- Moro A; Lonza L (2018). "Electricity carbon intensity in European Member States: Impacts on GHG emissions of electric vehicles". Transportation Research Part D: Transport and Environment 64: 5–14. doi:10.1016/j.trd.2017.07.012. PMID 30740029.
- Moro A; Helmers E (2017). "A new hybrid method for reducing the gap between WTW and LCA in the carbon footprint assessment of electric vehicles". Int J Life Cycle Assess (2017) 22: 4. 22: 4–14. doi:10.1007/s11367-015-0954-z.
- Hendrickson, C. T., Lave, L. B., and Matthews, H. S. (2005). Environmental Life Cycle Assessment of Goods and Services: An Input–Output Approach, Resources for the Future Press ISBN 1-933115-24-6.
- Limitations of the EIO-LCA Method and Models
- Rosen, M. A., & Dincer, I. (2001). Exergy as the confluence of energy, environment and sustainable development. Exergy, an International journal, 1(1), 3-13. https://www.academia.edu/download/6421325/kcx1421.pdf
- Wall, G., & Gong, M. (2001). On exergy and sustainable development—Part 1: Conditions and concepts. Exergy, An International Journal, 1(3), 128-145. https://www.researchgate.net/profile/Goeran_Wall/publication/222700889_On_exergy_and_sustainable_development__Part_I_Conditions_and_concepts/links/53fdc0470cf2364ccc08fafa.pdf
- Wall, G. (1977). Exergy-a useful concept within resource accounting. http://www.diva-portal.org/smash/get/diva2:318565/FULLTEXT01.pdf
- Wall, G. (2010). On exergy and sustainable development in environmental engineering. The Open Environmental Engineering Journal, 3, 21-32. http://www.diva-portal.org/smash/get/diva2:318551/FULLTEXT01.pdf
- Dewulf, J.; Van Langenhove, H.; Muys, B.; Bruers, S.; Bakshi, B. R.; Grubb, G. F.; Sciubba, E. (2008). "Exergy: its potential and limitations in environmental science and technology" (PDF). Environmental Science & Technology 42 (7): 2221–2232. doi:10.1021/es071719a. https://www.researchgate.net/publication/51393531.
- Sciubba, E (2004). "From Engineering Economics to Extended Exergy Accounting: A Possible Path from Monetary to Resource‐Based Costing" (PDF). Journal of Industrial Ecology 8 (4): 19–40. doi:10.1162/1088198043630397. https://www.researchgate.net/publication/229896297.
- Rocco, M. V., Colombo, E., & Sciubba, E. (2014). Advances in exergy analysis: a novel assessment of the Extended Exergy Accounting method. Applied Energy, 113, 1405-1420. https://www.researchgate.net/profile/Matteo_Rocco/publication/257311375_Advances_in_exergy_analysis_A_novel_assessment_of_the_Extended_Exergy_Accounting_method/links/0f3175314ce7cc6fc5000000.pdf
- Dewulf, J., & Van Langenhove, H. (2003). Exergetic material input per unit of service (EMIPS) for the assessment of resource productivity of transport commodities. Resources, Conservation and Recycling, 38(2), 161-174. https://www.researchgate.net/profile/Herman_VAN_LANGENHOVE/publication/228422347_Exergetic_material_input_per_unit_of_service_(EMIPS)_for_the_assessment_of_resource_productivity_of_transport_commodities/links/0c960519a4f6c42d97000000.pdf
- David MacKay Sustainable Energy 24 February 2010 p. 41
- McManus, M (2010). "Life cycle impacts of waste wood biomass heating systems: A case study of three UK based systems". Energy 35 (10): 4064–4070. doi:10.1016/j.energy.2010.06.014.
- Allen, S.R., G.P. Hammond, H. Harajli, C.I. Jones, M.C. McManus and A.B. Winnett (2008). "Integrated appraisal of micro-generators: methods and applications". Proceedings of the Institution of Civil Engineers - Energy 161 (2): 73–86. doi:10.1680/ener.2008.161.2.73.
- Damgaard, A, et al. Life-cycle-assessment of the historical development of air pollution control and energy recovery in waste incineration. Waste Management 30 (2010) 1244–1250.
- Liamsanguan, C., Gheewala, S.H., LCA: A decision support tool for environmental assessment of MSW management systems. Jour. of Environ. Mgmt. 87 (2009) 132–138.
- Hammond, Geoffrey P. (2004). "Engineering sustainability: thermodynamics, energy systems, and the environment". International Journal of Energy Research 28 (7): 613–639. doi:10.1002/er.988. http://www.etcs.ipfw.edu/~mueller/me427/Engineering_sustainability.pdf.
- Pehnt, Martin (2006). "Dynamic life cycle assessment (LCA) of renewable energy technologies". Renewable Energy 31 (1): 55–71. doi:10.1016/j.renene.2005.03.002.
- J.M. Pearce, "Optimizing Greenhouse Gas Mitigation Strategies to Suppress Energy Cannibalism" 2nd Climate Change Technology Conference Proceedings, p. 48, 2009
- Joshua M. Pearce (2008). "Thermodynamic limitations to nuclear energy deployment as a greenhouse gas mitigation technology". International Journal of Nuclear Governance, Economy and Ecology 2 (1): 113–130. doi:10.1504/IJNGEE.2008.017358.
- Jyotirmay Mathur; Narendra Kumar Bansal; Hermann-Joseph Wagner (2004). "Dynamic energy analysis to assess maximum growth rates in developing power generation capacity: case study of India". Energy Policy 32 (2): 281–287. doi:10.1016/S0301-4215(02)00290-2.
- R. Kenny; C. Law; J.M. Pearce (2010). "Towards Real Energy Economics: Energy Policy Driven by Life-Cycle Carbon Emission". Energy Policy 38 (4): 1969–1978. doi:10.1016/j.enpol.2009.11.078.
- Cornelissen, Reinerus Louwrentius (1997). "Thermodynamics and sustainable development; the use of exergy analysis and the reduction of irreversibility". Thesis, University of Twente, Netherlands. http://doc.utwente.nl/32030/.
- Malin, Nadav, Life-cycle assessment for buildings: Seeking the Holy Grail. Building Green, 2010.
- Linda Gaines and Frank Stodolsky Life-Cycle Analysis: Uses and Pitfalls. Argonne National Laboratory. Transportation Technology R&D Center
- National Council for Air and Stream Improvement Special Report No: 04-03. Ncasi.org. Retrieved on 2011-12-14.
- FPInnovations 2010 A Synthesis of Research on Wood Products and Greenhouse Gas Impacts 2nd Edition page 40 Archived 21 March 2012 at the Wayback Machine.. (PDF). Retrieved on 2011-12-14.
|Wikimedia Commons has media related to Life Cycle Analysis.|
- Embodied Energy: Life Cycle Assessment. Your Home Technical Manual. A joint initiative of the Australian Government and the design and construction industries. at the Wayback Machine (archived 24 October 2007)
- LCA research at the Center for Environmental Sciences, Leiden University
- LCA Example: Light Emitting Diode (LED) from GSA's Sustainable Facilities Tool
- A short interactive presentation of Life Cycle Assessment
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