1,720,971 research outputs found

    Ex-ante economic and environmental analysis of manufacturing emerging thin-film photovoltaics

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    In recent decades, advancements in solar energy and photovoltaic (PV) technologies have driven shifts in countries’ energy mixes. Consequently, policymakers and scholars regard solar energy as an essential source to achieve the energy transition goals from fossil fuels to renewable energy sources and mitigate the effects of climate change. This thesis revolves around evaluating emerging PV technologies, focusing on their environmental and economic impact. Previous empirical studies have attempted to estimate either emerging PV technologies' economic or environmental performance. As these were conducted separately, a holistic assessment of the developed technologies' economic and environmental aspects is missing. This could hinder the identification of any potential trade-offs between these aspects throughout the technology’s lifecycle. Moreover, these evaluations lacked a comprehensive analysis that involved a wide range of traditional single-junction (SJ) and novel tandem PV technologies to obtain a harmonized analysis. In addition, regional differences were not considered along with a long-term perspective, including technological advancements, cost reductions resulting from learning effects, and shifts in countries’ energy mixes. These factors could significantly affect the economic and environmental impact performance of PV devices manufactured in specific regions. This thesis seeks to address the limitations of previous research by integrating environmental and economic assessments while promoting methods to improve the impact assessment framework. This dissertation contributes to a better empirical understanding of economic and environmental impact aspects of emerging PV technologies. Firstly, the current solar energy context and PV technologies, along with the economic and environmental impact studies that have focused on emerging PV technologies, are outlined in the introduction. The following chapters address the research goals of the thesis by (1) integrating economic and environmental impact assessment to PV evaluation throughout the lifecycle, (2) quantifying regional and systemic aspects of emerging tandem PV technologies, and (3) proposing innovative methods to bridge the gaps between experimental phase and impact assessments by linking modeling parameters to experimental process conditions and impact assessment. Overall, this dissertation provides insights into the potential of emerging PV technologies and offers a framework for assessing their economic and environmental impact, ultimately contributing to the accelerated progress of PV technologies and the harmonization of technical, economic, and environmental factors in evaluating emerging PV technologies. Finally, the last chapter provides overarching conclusions, recommendations, and routes for possible future research. This thesis finds evidence that alternative thin-film tandem PV technologies can compete with traditional silicon-based PVs and emerging perovskite/silicon tandems regarding economic and environmental impact under similar lifetime conditions of commercially available PV technologies and if high power conversion efficiency is retained when upscaling to large-area PV devices. This may be relevant for regions seeking to promote domestic PV manufacturing and expanding solar energy deployment while diversifying the PV supply chain and decreasing the carbon footprint impact of the PV industry. This dissertation finally demonstrates the benefits related to the integration of machine learning methods into economic and environmental impact assessments to bridge the gap between the experimental phases of technology development and impact assessments with the final goal of optimizing key performance metrics by varying experimental process conditions

    Ex-ante economic and environmental analysis of manufacturing emerging thin-film photovoltaics

    No full text
    In recent decades, advancements in solar energy and photovoltaic (PV) technologies have driven shifts in countries’ energy mixes. Consequently, policymakers and scholars regard solar energy as an essential source to achieve the energy transition goals from fossil fuels to renewable energy sources and mitigate the effects of climate change. This thesis revolves around evaluating emerging PV technologies, focusing on their environmental and economic impact. Previous empirical studies have attempted to estimate either emerging PV technologies' economic or environmental performance. As these were conducted separately, a holistic assessment of the developed technologies' economic and environmental aspects is missing. This could hinder the identification of any potential trade-offs between these aspects throughout the technology’s lifecycle. Moreover, these evaluations lacked a comprehensive analysis that involved a wide range of traditional single-junction (SJ) and novel tandem PV technologies to obtain a harmonized analysis. In addition, regional differences were not considered along with a long-term perspective, including technological advancements, cost reductions resulting from learning effects, and shifts in countries’ energy mixes. These factors could significantly affect the economic and environmental impact performance of PV devices manufactured in specific regions. This thesis seeks to address the limitations of previous research by integrating environmental and economic assessments while promoting methods to improve the impact assessment framework. This dissertation contributes to a better empirical understanding of economic and environmental impact aspects of emerging PV technologies. Firstly, the current solar energy context and PV technologies, along with the economic and environmental impact studies that have focused on emerging PV technologies, are outlined in the introduction. The following chapters address the research goals of the thesis by (1) integrating economic and environmental impact assessment to PV evaluation throughout the lifecycle, (2) quantifying regional and systemic aspects of emerging tandem PV technologies, and (3) proposing innovative methods to bridge the gaps between experimental phase and impact assessments by linking modeling parameters to experimental process conditions and impact assessment. Overall, this dissertation provides insights into the potential of emerging PV technologies and offers a framework for assessing their economic and environmental impact, ultimately contributing to the accelerated progress of PV technologies and the harmonization of technical, economic, and environmental factors in evaluating emerging PV technologies. Finally, the last chapter provides overarching conclusions, recommendations, and routes for possible future research. This thesis finds evidence that alternative thin-film tandem PV technologies can compete with traditional silicon-based PVs and emerging perovskite/silicon tandems regarding economic and environmental impact under similar lifetime conditions of commercially available PV technologies and if high power conversion efficiency is retained when upscaling to large-area PV devices. This may be relevant for regions seeking to promote domestic PV manufacturing and expanding solar energy deployment while diversifying the PV supply chain and decreasing the carbon footprint impact of the PV industry. This dissertation finally demonstrates the benefits related to the integration of machine learning methods into economic and environmental impact assessments to bridge the gap between the experimental phases of technology development and impact assessments with the final goal of optimizing key performance metrics by varying experimental process conditions

    The research path to commercialization: A perspective on plasmonic nanoparticles in organic and perovskite optoelectronics

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    The emergence of plasmonic nanoparticles in organic and perovskite optoelectronics has evolved beyond its role as a mere light emission and absorption enhancer, by delving into the exotic properties of semiconductor thin films. These properties include stimulated emission (lasing), coherent emission (superradiance), reversible spontaneous emission, and spontaneous synchronization leading to coherent emission. Despite the wealth of available fundamental knowledge, the commercialization of plasmonic nanoparticles in organic and perovskite optoelectronics such as light emitting diodes, photovoltaics and photodetectors, has yet to reach fruition. This paper reviews the technical challenges acting as barriers to commercialization and highlights how their solutions are influenced by economic, sustainability, and regulatory hurdles. A focused examination of technological challenges, including deposition, material compatibility, scalability, and reproducibility of the device performance, is presented. This perspective article concludes by proposing potential solutions and offering a future outlook for the field, emphasizing sustain-ability, the circular economy, and responsible electronics, alongside the continued advancement of fundamental knowledge.The authors would like to thank the UHasselt BOF funding grant number BOF21KP04 for supporting the work

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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