Academic literature on the topic 'Sustainability, industrial ecology, complex systems'
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Journal articles on the topic "Sustainability, industrial ecology, complex systems"
Burdock, Robert P., and Peter Ampt. "The Characteristics of Five Food Production Systems and Their Implications for Sustainable Landscapes." Journal of Agricultural Science 10, no. 2 (January 12, 2018): 23. http://dx.doi.org/10.5539/jas.v10n2p23.
Full textKanga, Shruti, Suraj Kumar Singh, Gowhar Meraj, Anup Kumar, Ruby Parveen, Nikola Kranjčić, and Bojan Đurin. "Assessment of the Impact of Urbanization on Geoenvironmental Settings Using Geospatial Techniques: A Study of Panchkula District, Haryana." Geographies 2, no. 1 (January 6, 2022): 1–10. http://dx.doi.org/10.3390/geographies2010001.
Full textSoe Htet, Maw Ni, Honglu Wang, Lixin Tian, Vivek Yadav, Hamz Ali Samoon, and Baili Feng. "Integrated Starches and Physicochemical Characterization of Sorghum Cultivars for an Efficient and Sustainable Intercropping Model." Plants 11, no. 12 (June 15, 2022): 1574. http://dx.doi.org/10.3390/plants11121574.
Full textBettencourt, Luís M. A., and Christa Brelsford. "Industrial Ecology: The View From Complex Systems." Journal of Industrial Ecology 19, no. 2 (March 11, 2015): 195–97. http://dx.doi.org/10.1111/jiec.12243.
Full textAhram, Tareq Z. "ENGINEERING SUSTAINABLE COMPLEX SYSTEMS." Management and Production Engineering Review 4, no. 4 (December 1, 2013): 4–14. http://dx.doi.org/10.2478/mper-2013-0032.
Full textDiwekar, Urmila. "Green process design, industrial ecology, and sustainability: A systems analysis perspective." Resources, Conservation and Recycling 44, no. 3 (June 2005): 215–35. http://dx.doi.org/10.1016/j.resconrec.2005.01.007.
Full textZhao, Qing Jian, and Zuo Min Wen. "Complex Social-Ecological Systems Network:New Perspective on the Sustainability." Advanced Materials Research 361-363 (October 2011): 1467–71. http://dx.doi.org/10.4028/www.scientific.net/amr.361-363.1467.
Full textPan, Mingmin, and Mee Kam Ng. "Implementing industrial ecology in regeneration activities: A possible pathway for transforming China's local-regional industrial systems towards sustainability?" Journal of Cleaner Production 338 (March 2022): 130601. http://dx.doi.org/10.1016/j.jclepro.2022.130601.
Full textIldus Rafikov and Riaz Ansary. "Industrial Revolution 4.0: Risks, Sustainability, and Implications for OIC States." ICR Journal 11, no. 2 (December 30, 2020): 298–324. http://dx.doi.org/10.52282/icr.v11i2.787.
Full textBezuidenhout, Carel Nicolaas, Muhammad Kadwa, and Milindi S. Sibomana. "Using Theme and Domain Networking Approaches to Understand Complex Agri-Industrial Systems." Outlook on Agriculture 42, no. 1 (March 2013): 9–16. http://dx.doi.org/10.5367/oa.2013.0119.
Full textDissertations / Theses on the topic "Sustainability, industrial ecology, complex systems"
Beck, Jessica Mareile. "A Holistic Approach to Sustainability Analysis of Industrial Networks." Thesis, The University of Sydney, 2008. http://hdl.handle.net/2123/3959.
Full textBeck, Jessica Mareile. "A Holistic Approach to Sustainability Analysis of Industrial Networks." University of Sydney. School of Chemical and Biomolecular Engineering, 2008. http://hdl.handle.net/2123/3959.
Full textThe aim of this thesis is to support the evaluation of sustainable development strategies for industrial networks in the context of industrial ecology (IE). Industrial networks are a group of units which carry out, or contribute to, industrial activity, and are connected by material and energy flows, but also capital and information exchanges. The components of an industrial network encompass resource extraction, processing and refining, forming and assembly, use, disposal, as well as recycling and reprocessing. The motivation behind this research is the realisation that much of the current environmental system analysis focus within IE lacks a structured approach to considering: • system environment • dynamic nature of the system and its environment • economic and social impacts • the effect of uncertainty on analysis outcomes. It is argued in this thesis that current environmental analysis approaches used in IE can be improved in their capacity to capture the complexity of industrial systems, with the objective of promoting sustainable development. While IE emphasises the benefit of a systems approach to identifying environmental strategies in industry, analysis tools have to date not engaged extensively with important aspects such as the influence of system environment and dynamics on the viability of an environmental strategy, or with the economic or social impacts of industrial system development, which are equally important for sustainable development. Nor is the assessment of the effect of uncertainty on analysis outcomes an integral part of environmental analysis tools in IE. This is particularly significant when, in fact, the degree of uncertainty in assumptions and data used increases with the scope, and therefore the abstraction, of the system under consideration. IE will have to engage with the network and contextual complexities to a greater degree if it is to evolve from a concept to the application of its principles in practice. The main contribution of this thesis is therefore the development of a structured approach to analysing industrial networks for the purpose of identifying strategies to encourage sustainable development, while accounting for the complexity of the underlying system as well as the problem context. This analysis is intended to allow the identification of preferred network development pathways and to test the effectiveness of sustainable development strategies. A top-down, prescriptive approach is adopted for this purpose. This approach is chosen as the industrial network analysis is intended to identify how a network should develop, rather than focusing on how it could develop. Industrial networks are systems which are complex in both their structure and behaviour. This thesis also delivers a characterisation of these networks, which serves two purposes – quantifying key elements of structure and behaviour; and using this information to build a foundation for subsequent industrial network analysis. The value of such an approach can be seen in the following example. With a detailed understanding of individual network characteristics, both separately and collectively, it is possible to determine the source of issues, the means available to address them, any barriers that might exist, and the consequences of implementing any strategic interventions. The analysis approach proposed in this thesis is based on multi-criteria decisions analysis (MCDA), which, as a process, combines initial problem structuring and subsequent quantitative analysis stages. The tools employed within MCDA have been employed variously around considerations of sustainable development. Their value in this thesis is their integration within a rigorous analytical framework. Rigorous problem structuring is attractive as it helps elucidate the complexities of the system and its environment and is, by definition, designed to deal with multiple environmental social and economic criteria that would have to be considered to promote sustainable development. For the quantitative analysis, the industrial network analysis draws from existing analysis tools in IE, but predominately from other systems research disciplines, such as process systems engineering (PSE) and supply chain management (SCM). These fields, due to their maturity and practical focus, have invested a lot of research into system design and strategic planning, capturing system dynamics and uncertainty to ensure, within selected system constraints, that a proposed system or changes to a system are viable, and that the system is capable of achieving the stated objectives. Both PSE and SCM rely heavily on optimisation for system design and planning, and achieve good results with it as an analytical tool. The similarity between industrial networks and process systems / supply chains, suggests that an optimisation platform, specifically multi-objective dynamic optimisation, could be employed fruitfully for the analysis of industrial networks. This is the approach taken in this thesis. It is consistent with the “top down” approach advocated previously, which is deemed preferable for the identification and implementation analysis of strategic interventions. This enables the determination of a structure (design) that is “best” able to operate under future conditions (planning) with respect to the chosen sustainable development objectives. However, an analysis is only ever as good as its underlying data and assumptions. The complexity and scope of the industrial network and the challenge of articulating sustainable development target(s) give rise to significant uncertainties. For this reason a framework is developed within this thesis that integrates uncertainty analysis into the overall approach, to obtain insight into the robustness of the analysis results. Quantifying all the uncertainties in an industrial network model can be a daunting task for a modeller, and a decision-maker can be confused by modelling results. Means are therefore suggested to reduce the set of uncertainties that have to be engaged with, by identifying those which impact critically on model outcomes. However, even if uncertainty cannot be reduced, and the implementation of any strategy retains a degree of risk, the uncertainty analysis has the benefit that it forces an analyst to engage in more detail with the network in question, and to be more critical of the underlying assumptions. The analysis approach is applied to two case studies in this thesis: one deals with waste avoidance in an existing wood-products network in a large urban metropolis; the other with the potential for renewable energy generation in a developing economy. Together, these case studies provide a rich tableau within which to demonstrate the full features of the industrial network analysis. These case studies highlight how the context within which the relevant industrial network functions influences greatly the evolution of the network over time; how uncertainty is managed; and what strategies are preferred in each case in order to enhance the contribution of each network to sustainable development. This thesis makes an intellectual contribution in the following areas: • the characterisation of industrial networks to highlight sources of environmental issues, role the characteristics (could) play in the identification of (preferred) sustainable development strategies, and the need to explicitly consider these in a systems analysis. • the synthesis, adaptation and application of existing tools to fulfil the need for analysis tools in IE that can handle both contextual and system complexity, and address the above mentioned issues of lacking consideration of o system environment o dynamic nature of the system and its environment o economic and social impacts o the effect of uncertainty on analysis outcomes. • the development and demonstration of an industrial network analysis approach that o is flexible enough to model any industrial network at the inter-firm level, regardless of form and configuration of materials and products circulated, and depending on the existing network and the proposed strategies. o is able to encompass a wide range of environmental strategies, either individually or in combination depending on what best suits the situation, rather than focusing on any strategy in particular. o ensures long term viability of strategies, rather than short term solutions delivering incremental improvement. • the development of a comprehensive approach to capturing and assessing the effect of uncertainty on solution robustness for industrial network analysis, including the screening to determine the most important parameters, considering valuation and technical uncertainties, including future uncertainty. The industrial network analysis approach presented in this thesis looks more to how a network should develop (according to a set of sustainable development objectives), rather than how it may in actual fact develop. Consequently, the influence of agent interests and behaviour is not considered explicitly. This may be construed as a limitation of the industrial analysis approach. However, it is argued that the “top down” modelling approach favoured here is useful at a policy-making level. Here, for example, government instrumentalities, trade organisations and industry groupings, non-government organisations and community-based organisations are likely to be interested more in the performance of the network as a whole, rather than (necessarily) following the behaviour of individual agents within the network. Future work could well entertain the prospect of a mixed approach, in which the top-down approach of this thesis is complemented by a “bottom-up”, agent-based analysis. In this manner, it would be possible to give an indication of how attainable the identified industrial network development pathways are. Furthermore, the use of government incentives can be explored to assess if network development could approach the preferred development pathway which is identified using the methodology and results articulated in this thesis.
Ras, Cornelia. "An industrial ecology approach to salt-related environmental sustainability issues in a large industrial complex." Master's thesis, University of Cape Town, 2011. http://hdl.handle.net/11427/10737.
Full textIncludes bibliographical references (p.93-106).
This thesis aims to demonstrate the application of industrial ecology (IE) theory to understand environmental sustainability problems relating to the accumulation of saline wastes and to study the potential for integrated technology interventions which take multi-party engagements and effects into account.
Kinkaid, Eden. "The architecture of ecology: Systems design for sustainable agricultural landscapes." Ohio University Honors Tutorial College / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors1366983104.
Full textSinha, Rajib. "Systems Modeling Approaches to Physical Resource Management : An Industrial Ecology Perspective." Doctoral thesis, KTH, Industriell ekologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191327.
Full textMånga nuvarande miljö- och utvecklingsproblem har uppstått som oförutsedda biverkningar av människans egna handlingar. De lösningar som prövats har i sin tur ofta skapat nya problem. Det därför viktigt att förstå hur komplexa system fungerar och att utforma styrmedel och ledningssystem som minimerar risken för oönskade bieffekter. Den här avhandling har använt olika modelleringsmetoder för att öka förståelsen för komplexa system och bidra med kunskaper om hur miljöprestanda och förvaltningsåtgärder kan följas upp på ett mer effektivt sätt. Det övergripande syftet med arbetet var att undersöka användbarheten av olika modelleringsmetoder för att effektivisera den fysiska resurshanteringen i samhället. I arbetet har ett flödesbaserat och aktörsinriktat arbetssätt (pressure based and driver oriented approach) använts i modelleringen. Material- och substansflödesanalys, miljöfotavtryck, input-output analys, processbaserad dynamisk modellering och systemdynamiska modelleringsmetoder studerades för att undersöka styrkor och svagheter hos de olika metoderna/verktygen. Tre olika modellerings- och redovisningsmetoder för att stödja miljöövervakning testades också i olika systemskalor. Statiska modelleringsmetoder (räkenskaper) identifierades som grundläggande för att kartlägga, kontoföra och övervaka den fysiska resursmetabolismen i produktions- och konsumtionssystem, medan dynamisk modellering visade sin styrka i att skapa förståelse för komplexa system. Resultaten pekar på att dynamiska modelleringsmetoder bör användas som ett komplement till statiska analyser för att förstå komplexiteten i systemen när man utformar och testar styrmedel. För att uppnå proaktiv övervakning bör flödesbaserade räkenskaper utnyttjas i större utsträckning i stället för den vanliga tillstånds- och påverkansövervakningen (state/impact monitoring). En viktig slutsats är därför att LCA-samfundet bör flytta fokus i sina bedömningar från påverkan till flöden.
QC 20160830
Assefa, Getachew. "On sustainability assessment of technical systems : experience from systems analysis with the ORWARE and EcoEffect tools /." Doctoral thesis, Stockholm : Division of Industrial Ecology, Deparment of Chemical Engineering, School of Chemical Science and Engineering, Royal Institute of Technology, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-550.
Full textAthanassiadis, Aristide. "Towards more comprehensive urban environmental assessments: Exploring the complex relationship between urban and metabolic profiles." Doctoral thesis, Universite Libre de Bruxelles, 2016. https://dipot.ulb.ac.be/dspace/bitstream/2013/232139/5/contrataa.pdf.
Full textDoctorat en Art de bâtir et urbanisme (Polytechnique)
info:eu-repo/semantics/nonPublished
Morales, Manuel E. "Industrial symbiosis, a model of strong sustainability : an analysis of two case studies, Tampico and Dunkirk." Thesis, Université Clermont Auvergne (2017-2020), 2019. http://www.theses.fr/2019CLFAD008.
Full textIndustrial symbiosis (IS) is presented as an inter-firm organizational strategy with the aim of social innovation that targets material and energy flow optimization, but also structural sustainability. In this study, we present systems thinking and geographical proximity as the theoretical framework used to analyze industrial symbiosis through a methodology based on System Dynamics and the underpinning use of Causal Loop Diagrams, aiming to identify the main drivers and hindrances that reinforce or balance the industrial symbiosis’s sustainability. The understanding of industrial symbiosis is embedded in a theoretical framework that conceptualizes industry as a complex ecosystem in which qualitative and quantitative approaches can be integrated, if we use a methodology flexible enough to encompass the complexity of the stakeholder’s values and motivations in the same analysis. Furthermore, the methodology performs a comparative strength over descriptive statistical forecasting, because it is able to integrate social causal rationality when estimating attractiveness in a region or individual firm’s potential. The stakeholders’ influence becomes essential to the complex understanding of this institution, because by shaping individual behavior in a social context, industrial symbiosis provides a degree of cooperation in order to overcome social dilemmas for actors like the tension between efficiency/resilience, who cannot be achieved by their own. The proposed narrative encourages us to draw up scenarios, integrating variables from different motivational value in the industrial symbiosis. We use the Altamira and the Dunkirk case studies to explain the role of geographical systems analysis, identifying loops that reinforce or regulate the sustainability of industrial symbiosis, and three drivers: “Efficiency/Resilience dilemma”, “Industrial symbiosis governance”, and “The role of global recycling networks in the by-product valorization”. The social dimension integration in the analysis of a complex system is indeed applied to enhance the understanding of IS dynamics, but a great potential is foreseen for other micro-level social systems like for example urban metabolism dynamics or bio-economy
Martinez, MaryAnn. "Human Centeredness: The Foundation for Leadership-as-Practice in Complex Local/Regional Food Networks." Antioch University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=antioch1624179376157514.
Full textThomson, Sean Richard. "Methane Production by a Packed-Bed Anaerobic Digester Fed Dairy Barn Flush Water." DigitalCommons@CalPoly, 2014. https://digitalcommons.calpoly.edu/theses/1329.
Full textBooks on the topic "Sustainability, industrial ecology, complex systems"
Desideri, Umberto, Giampaolo Manfrida, and Enrico Sciubba, eds. ECOS 2012. Florence: Firenze University Press, 2012. http://dx.doi.org/10.36253/978-88-6655-322-9.
Full textLewis, M. Dispersal, Individual Movement and Spatial Ecology: A Mathematical Perspective. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Find full textIlona, Pillai, ed. Environmental management systems: Understanding organisational drivers and barriers. London: Earthscan, 2005.
Find full textEcological Sustainability: Understanding Complex Issues. Taylor & Francis Group, 2013.
Find full textConnor, Anne N., and Robert B. Northrop. Ecological Sustainability: Understanding Complex Issues. Taylor & Francis Group, 2017.
Find full textConnor, Anne N., and Robert B. Northrop. Ecological Sustainability: Understanding Complex Issues. Taylor & Francis Group, 2016.
Find full textConnor, Anne N., and Robert B. Northrop. Ecological Sustainability: Understanding Complex Issues. Taylor & Francis Group, 2016.
Find full textNorthrop, Robert B. Ecological Sustainability: Understanding Complex Issues. Taylor & Francis Group, 2013.
Find full textKarakiewicz, Justyna, and Thomas Kvan. Urban Galapagos: Transition to Sustainability in Complex Adaptive Systems. Springer, 2018.
Find full textTinsley, Stephen, and Ilona Pillai. Environmental Management Systems: Understanding Organizational Drivers and Barriers. Earthscan, 2006.
Find full textBook chapters on the topic "Sustainability, industrial ecology, complex systems"
Yankovskaya, Veronika V. "Digital Transformations in the Agro-industrial Complex." In The Challenge of Sustainability in Agricultural Systems, 167–75. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73097-0_20.
Full textRevzon, Oksana A., Maxim P. Pochekutov, and Tatiana I. Aksyonova. "Sources of Innovation Financing in Industrial Clusters." In Complex Systems: Innovation and Sustainability in the Digital Age, 295–99. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58823-6_32.
Full textShafirov, Valeriy G., Natalia S. Serdyuk, and Evgeniy E. Mozhaev. "Strategic Directions for Improving the Management System of Agro-Industrial Complex." In The Challenge of Sustainability in Agricultural Systems, 11–15. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73097-0_2.
Full textParfenova, Valentina E., Galina G. Bulgakova, Konstantin I. Kostyukov, Svetlana Yu Shamrina, and Asya Ts Ionova. "Smart Methods in Management Decisions-Making in the Agro-Industrial Complex." In The Challenge of Sustainability in Agricultural Systems, 433–40. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72110-7_46.
Full textAntsiferova, Olga Yu, Ekaterina V. Ivanova, Ekaterina A. Myagkova, Alexander V. Strelnikov, and Larisa M. Petrova. "Digital Technologies for Innovative and Sustainable Development of the Agro-Industrial Complex as a Complex Socio-Economic System." In The Challenge of Sustainability in Agricultural Systems, 355–63. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73097-0_40.
Full textTarnacki, Katharina M., Thomas Melin, and Sabina Jeschke. "Water Saving in a Complex Industrial System – Evaluation of the Sustainability of Options with System Dynamics." In Complex Systems Design & Management, 267–79. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02812-5_20.
Full textPolukhin, Andrey A., Sergey D. Knyazev, and Ivan A. Efremov. "The Conceptual Model of Innovative Development of Industrial Gardening." In Complex Systems: Innovation and Sustainability in the Digital Age, 333–45. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44703-8_36.
Full textKulaykin, Sergey V., and Andrey K. Markov. "Improving the Management System of the Agricultural and Industrial Complex." In Complex Systems: Innovation and Sustainability in the Digital Age, 449–54. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44703-8_48.
Full textSandu, Ivan S., Aleksandr S. Troshin, and Yuri N. Bozhkov. "Peculiarities of Digital Transformations in the Regional Agro-Industrial Complex." In Complex Systems: Innovation and Sustainability in the Digital Age, 337–44. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58823-6_37.
Full textVelibekova, Louisa A., Magomed-Rasul A. Kaziyev, and Gasan D. Dogeev. "The Problems of Introducing Innovative Technologies in Industrial Gardening in Dagestan." In Complex Systems: Innovation and Sustainability in the Digital Age, 307–14. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44703-8_33.
Full textConference papers on the topic "Sustainability, industrial ecology, complex systems"
Bailey, Reid, Janet K. Allen, Bert Bras, and Farrokh Mistree. "A System Level Approach to the Design of an Industrial Ecosystem." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/dac-3962.
Full textLayton, Astrid, Bert Bras, and Marc Weissburg. "Ecological Robustness as a Design Principle for Sustainable Industrial Systems." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47560.
Full textMironenko, Aleksey, Sergey Matveev, Vasiliy Slavskiy, and A. Revin. "FOREST ASSESSMENT AND ACCOUNTING SOFTWARE." In Modern machines, equipment and IT solutions for industrial complex: theory and practice. FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov, 2021. http://dx.doi.org/10.34220/mmeitsic2021_250-255.
Full textLee, Christine, Andy Walker, and Moncef Krarti. "Development of an Hourly Optimization Tool for Renewable Energy Systems." In ASME 2010 4th International Conference on Energy Sustainability. ASMEDC, 2010. http://dx.doi.org/10.1115/es2010-90357.
Full textLi, Yunpeng, and Utpal Roy. "A STEP-Based Approach Toward Cooperative Product Design for Sustainability." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34510.
Full textBurdett, Tim, Jason Gregg, and Kenneth Van Treuren. "An Examination of the Effect of Reynolds Number on Airfoil Performance." In ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/es2011-54720.
Full textRauch, Christian, Thomas Ho¨rmann, Sebastian Jagsch, and Raimund Almbauer. "An Efficient Software Architecture for Automated Coupling of Convection and Thermal Radiation Tools." In ASME 2008 Heat Transfer Summer Conference collocated with the Fluids Engineering, Energy Sustainability, and 3rd Energy Nanotechnology Conferences. ASMEDC, 2008. http://dx.doi.org/10.1115/ht2008-56303.
Full textHamza, Aliyu. "Rejigging of the Management and Operations of Student Industrial Work Experience Scheme in Tertiary Institutions in Nigeria: A Case Study of NOUN." In Tenth Pan-Commonwealth Forum on Open Learning. Commonwealth of Learning, 2022. http://dx.doi.org/10.56059/pcf10.544.
Full textRafaj, Milan, and Stefan Valcuha. "Technology Solution for Small and Medium Sized Enterprises." In ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/esda2014-20374.
Full textGoodbody, Stephen A. "Successfully Eliminating the Barriers to Solar Photovoltaic Implementation." In ASME 2008 2nd International Conference on Energy Sustainability collocated with the Heat Transfer, Fluids Engineering, and 3rd Energy Nanotechnology Conferences. ASMEDC, 2008. http://dx.doi.org/10.1115/es2008-54247.
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