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    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
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    <pageLast/>
    <pageNumber>15</pageNumber>
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    <type>conferenceobject</type>
    <publisherName>TIB Open Publishing</publisherName>
    <publisherPlace>Hannover</publisherPlace>
    <creatingCorporation/>
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    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2026-02-19</completedDate>
    <publishedDate>--</publishedDate>
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    <title language="eng">Analysis of Industrial 5GDHC System in Ingolstadt</title>
    <abstract language="eng">This study comprehensively examines the technical manifestation and planning process for a shared thermal energy network at a 75-hectare industrial area in Ingolstadt. Unlike traditional systems, this (5GDHC) network showcases a smart integration of energy flows across 70 buildings with a yearly heating demand of around 17 GWh and a yearly cooling demand of around 35 GWh. The network spans over 9,100 meters of piping with diameters up to 800 mm. With thermal power from various sources including 1.8 MW waste heat from a data centre and potential for 10 MW from the Danube River, the system epitomizes a dynamic balance of heating and cooling demands. The paper itself examines the planning process of the system and encompasses topics such as defining energy requirements and load profiles, assessing potential energy sources and sinks for enhanced system efficiency, and analysing pipe and network design. Through this investigation, the study provides valuable insights towards a methodology to facilitate the successful implementation of future industrial 5GDHC systems, furthering the cause of sustainable energy.</abstract>
    <parentTitle language="eng">International Sustainable Energy Conference - Proceedings</parentTitle>
    <subTitle language="eng">A Step Towards CO2-Neutral Industry</subTitle>
    <identifier type="issn">2976-2030</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-66874</identifier>
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    <author>
      <first_name>Simon Nikolaus</first_name>
      <last_name>Müller</last_name>
    </author>
    <editor>
      <first_name>Christian</first_name>
      <last_name>Fink</last_name>
    </editor>
    <author>
      <first_name>Rainer</first_name>
      <last_name>Strobel</last_name>
    </author>
    <editor>
      <first_name>Christoph</first_name>
      <last_name>Brunner</last_name>
    </editor>
    <author>
      <first_name>Markus</first_name>
      <last_name>Faigl</last_name>
    </author>
    <author>
      <first_name>Tobias</first_name>
      <last_name>Schrag</last_name>
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    <collection role="institutes" number="15985">Fakultät Maschinenbau</collection>
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    <collection role="institutes" number="19321">Institut für neue Energie-Systeme (InES)</collection>
    <collection role="persons" number="26717">Schrag, Tobias</collection>
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  <doc>
    <id>6612</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
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    <pageLast/>
    <pageNumber>12</pageNumber>
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    <issue/>
    <volume>5</volume>
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    <publisherName>Schmalenbach-Gesellschaft fur Betriebswirtschaft</publisherName>
    <publisherPlace>Frechen</publisherPlace>
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    <completedDate>2026-01-29</completedDate>
    <publishedDate>--</publishedDate>
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    <title language="deu">„Konnektivität“ als Strukturprinzip akademischen Wirkens von Prof. Dr. Dr. h.c. mult. Adolf G. Coenenberg – Ein Nachruf</title>
    <parentTitle language="deu">Schmalenbach Impulse</parentTitle>
    <identifier type="issn">2749-9804</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-66127</identifier>
    <note>Ausgenommen von der Lizenz sind im Beitrag enthaltene Zitate und sonstige eingebundene externe Inhalte.</note>
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    <author>
      <first_name>Heinz-Georg</first_name>
      <last_name>Baum</last_name>
    </author>
    <author>
      <first_name>Christian</first_name>
      <last_name>Fink</last_name>
    </author>
    <author>
      <first_name>Thomas M.</first_name>
      <last_name>Fischer</last_name>
    </author>
    <author>
      <first_name>Edeltraud</first_name>
      <last_name>Günther</last_name>
    </author>
    <author>
      <first_name>Thomas</first_name>
      <last_name>Günther</last_name>
    </author>
    <author>
      <first_name>Axel</first_name>
      <last_name>Haller</last_name>
    </author>
    <author>
      <first_name>Kalina</first_name>
      <last_name>Kafadar</last_name>
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    <author>
      <first_name>Kai-Uwe</first_name>
      <last_name>Marten</last_name>
    </author>
    <author>
      <first_name>Wolfgang</first_name>
      <last_name>Schultze</last_name>
    </author>
    <author>
      <first_name>Robert</first_name>
      <last_name>Wittmann</last_name>
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    <collection role="institutes" number="15986">THI Business School</collection>
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    <collection role="persons" number="26803">Wittmann, Robert</collection>
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  </doc>
  <doc>
    <id>6606</id>
    <completedYear/>
    <publishedYear>2026</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>14</pageNumber>
    <edition/>
    <issue>2</issue>
    <volume>26</volume>
    <articleNumber>728</articleNumber>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace>Basel</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2026-01-28</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">REHEARSE-3D: A Multi-Modal Emulated Rain Dataset for 3D Point Cloud De-Raining</title>
    <abstract language="eng">Sensor degradation poses a significant challenge in autonomous driving. During heavy rainfall, interference from raindrops can adversely affect the quality of LiDAR point clouds, resulting in, for instance, inaccurate point measurements. This, in turn, can potentially lead to safety concerns if autonomous driving systems are not weather-aware, i.e., if they are unable to discern such changes. In this study, we release a new, large-scale, multi-modal emulated rain dataset, REHEARSE-3D, to promote research advancements in 3D point cloud de-raining. Distinct from the most relevant competitors, our dataset is unique in several respects. First, it is the largest point-wise annotated dataset (9.2 billion annotated points), and second, it is the only one with high-resolution LiDAR data (LiDAR-256) enriched with 4D RADAR point clouds logged in both daytime and nighttime conditions in a controlled weather environment. Furthermore, REHEARSE-3D involves rain-characteristic information, which is of significant value not only for sensor noise modeling but also for analyzing the impact of weather at the point level. Leveraging REHEARSE-3D, we benchmark raindrop detection and removal in fused LiDAR and 4D RADAR point clouds. Our comprehensive study further evaluates the performance of various statistical and deep learning models, where SalsaNext and 3D-OutDet achieve above 94% IoU for raindrop detection.</abstract>
    <parentTitle language="eng">Sensors</parentTitle>
    <identifier type="issn">1424-8220</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-66060</identifier>
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    <author>
      <first_name>Abu Mohammed</first_name>
      <last_name>Raisuddin</last_name>
    </author>
    <author>
      <first_name>Jesper</first_name>
      <last_name>Holmblad</last_name>
    </author>
    <author>
      <first_name>Hamed</first_name>
      <last_name>Haghighi</last_name>
    </author>
    <author>
      <first_name>Yuri</first_name>
      <last_name>Poledna</last_name>
    </author>
    <author>
      <first_name>Maikol</first_name>
      <last_name>Funk Drechsler</last_name>
    </author>
    <author>
      <first_name>Valentina</first_name>
      <last_name>Donzella</last_name>
    </author>
    <author>
      <first_name>Eren Erdal</first_name>
      <last_name>Aksoy</last_name>
    </author>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19317">CARISSMA Institute of Automated Driving  (C-IAD)</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/6606/sensors-26-00728-v2.pdf</file>
  </doc>
  <doc>
    <id>2399</id>
    <completedYear/>
    <publishedYear>2015</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>412</pageFirst>
    <pageLast>417</pageLast>
    <pageNumber/>
    <edition/>
    <issue>26</issue>
    <volume>2015</volume>
    <articleNumber/>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace>Amsterdam</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-05-18</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A method for forecasting the running costs of manufacturing technologies in automotive production during the early planning phase</title>
    <abstract language="eng">The running costs of production sites are a decisive factor in the overheads of automotive production. Because of this, it is important for many operators to decrease those costs in a sustainable way. Therefore, they try to reduce both the energy consumption costs of production systems, as well as their maintenance costs. However, most parts of the running costs are already determined during the very early phases of the product creation process. The approach in this paper shows how the decision for a specific manufacturing technology influences the factory costs. It is necessary to determine the life-cycle costs with regard to the manufacturing technology. Therefore, deep knowledge about the process itself and the support processes is required. This paper shows how cost relevant parameters can be identified and introduces a method to determine the prospective costs for maintenance and energy consumption in advance.</abstract>
    <parentTitle language="eng">Procedia CIRP</parentTitle>
    <identifier type="issn">2212-8271</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-23996</identifier>
    <note>Part of special issue: "12th Global Conference on Sustainable Manufacturing – Emerging Potentials"</note>
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    <enrichment key="THI_conferenceName">12th Global Conference on Sustainable Manufacturing – Emerging Potentials, Johor Bahru (Malaysia), 22.-24.09.2014</enrichment>
    <enrichment key="THI_articleversion">published</enrichment>
    <licence>Creative Commons BY-NC-ND 3.0</licence>
    <author>
      <first_name>Martin</first_name>
      <last_name>Bornschlegl</last_name>
    </author>
    <author>
      <first_name>Sven</first_name>
      <last_name>Kreitlein</last_name>
    </author>
    <author>
      <first_name>Markus</first_name>
      <last_name>Bregulla</last_name>
    </author>
    <author>
      <first_name>Jörg</first_name>
      <last_name>Franke</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>factory planning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>holistic planning process</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>life-cycle costing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>sustainable manufacturing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>running costs</value>
    </subject>
    <collection role="institutes" number="15985">Fakultät Maschinenbau</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="persons" number="23276">Bregulla, Markus</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/2399/1-s2.0-S2212827114009160-main.pdf</file>
  </doc>
  <doc>
    <id>6674</id>
    <completedYear/>
    <publishedYear>2026</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>28</pageNumber>
    <edition/>
    <issue>3</issue>
    <volume>41</volume>
    <articleNumber>106582</articleNumber>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace>New York</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2026-02-16</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Debiasing entrepreneurial careers: A field experiment on female role model effects on entrepreneurial self-efficacy and early-stage career choices</title>
    <abstract language="eng">Women remain underrepresented not only as founders but also as employees – or “joiners” – in young and small firms, limiting their exposure to entrepreneurial environments that often serve as critical pathways to venture creation. To address this gap, we investigate whether introducing female entrepreneur role models in educational settings can shape young women's entrepreneurial self-efficacy and early career choices. Drawing on role congruity theory and social cognitive career theory (SCCT), we conducted a field experiment involving over 430 university students and 98 early-stage entrepreneurs. Using a pre-test/post-test design and longitudinal tracking of early career choices, we explore the causal effects of exogenously assigned female role models on students' decisions to join a young or small firm. We find that exposure to social interactions with female entrepreneurs significantly boosts female students' entrepreneurial self-efficacy. More importantly, women who were paired with a female entrepreneur were over 10% more likely to join a young firm after graduation compared to those assigned to a male entrepreneur. Mediation analysis confirms that entrepreneurial self-efficacy is a key mechanism linking exposure to same-sex role models with women's decision to join a young firm. These findings highlight the potential of targeted role model interventions to reduce gender disparities in entrepreneurial entry pathways and expand the diversity of entrepreneurial ecosystems.</abstract>
    <parentTitle language="eng">Journal of Business Venturing</parentTitle>
    <identifier type="issn">1873-2003</identifier>
    <identifier type="issn">0883-9026</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-66745</identifier>
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    <author>
      <first_name>Laura</first_name>
      <last_name>Bechthold</last_name>
    </author>
    <author>
      <first_name>Laura</first_name>
      <last_name>Rosendahl Huber</last_name>
    </author>
    <author>
      <first_name>Kimberly A.</first_name>
      <last_name>Eddleston</last_name>
    </author>
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    <collection role="institutes" number="19310">Fakultät Wirtschaftsingenieurwesen</collection>
    <collection role="persons" number="48031">Bechthold, Laura</collection>
    <collection role="institutes" number="19582">Bayerisches Foresight-Institut</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
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  </doc>
  <doc>
    <id>6294</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>16</pageNumber>
    <edition/>
    <issue>4</issue>
    <volume>9</volume>
    <articleNumber>e202500559</articleNumber>
    <type>article</type>
    <publisherName>Wiley</publisherName>
    <publisherPlace>Weinheim</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2025-10-13</completedDate>
    <publishedDate>--</publishedDate>
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    <title language="eng">Analyzing the Impact of Electrolyte Motion Induced Salt Inhomogeneity Effect on Apparent Aging: Role of Current Rates and Temperature Effects in Accelerated Cyclic Aging Tests in Li-Ion Batteries</title>
    <abstract language="eng">Accurate and rapid assessment of lithium-ion battery lifetime is essential for predicting remaining lifespan, enabling the selection of appropriate cells for specific applications and determining suitability for second-life use. However, accelerated cyclic aging tests may underestimate a cell's total lifespan due to exaggerated capacity fade that does not occur under real-world conditions. This increased capacity fade is primarily driven by electrolyte motion induced salt inhomogeneity (EMSI) and loss of homogeneity of lithium distribution (HLD). This study investigates the impact of varying charge and discharge currents on capacity loss during accelerated testing in compressed NMC-Gr pouch cells. Most of the capacity loss observed during cycling is fully recoverable after a resting period, with some cells regaining up to 81% of their lost capacity. Contrary to expectations, cells subjected to the highest cycling currents do not exhibit the greatest recoverable capacity loss. This phenomenon can be attributed to the interplay between current and temperature: While higher cycling currents exacerbate EMSI and HLD loss, they simultaneously elevate cell temperature, which mitigates EMSI by weakening polarization, enhancing electrolyte salt diffusion and homogenizing lithium distribution in the anode. Consequently, higher temperatures counteract HLD and EMSI-effect and therefore reduce apparent capacity loss.</abstract>
    <parentTitle language="eng">Batteries &amp; Supercaps</parentTitle>
    <identifier type="issn">2566-6223</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-62944</identifier>
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    <licence>Creative Commons BY 4.0</licence>
    <author>
      <first_name>Pablo</first_name>
      <last_name>Morales Torricos</last_name>
    </author>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Gallenberger</last_name>
    </author>
    <author>
      <first_name>Dominik</first_name>
      <last_name>Droese</last_name>
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    <author>
      <first_name>Julia</first_name>
      <last_name>Kowal</last_name>
    </author>
    <author>
      <first_name>Christian</first_name>
      <last_name>Endisch</last_name>
    </author>
    <author>
      <first_name>Meinert</first_name>
      <last_name>Lewerenz</last_name>
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    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
    <collection role="persons" number="26571">Endisch, Christian</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
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    <issue>25</issue>
    <volume>13</volume>
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    <publisherName>Universidade do Estado de Santa Catarina</publisherName>
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    <title language="eng">Support methodology to the informational and conceptual design of small recreational powerboats</title>
    <abstract language="eng">This article proposes a methodology for the design of motor recreational boats which are a crucial part of the Brazilian nautical industry. Despite the high demand for these boats, design methodologies for small leisure vessels are not well explored in the literature, leading to not mapped aspects as design information treatment, requirements engineering, and trade-off conflicts. The proposed methodology aims to systematize the obtaining of design specifications, generation and evaluation of solution concepts, employing de- sign support tools. The methodology was evaluated by applying it on a small recreational motorboat, and the results were positively evaluated by nautical industry and academic specialists, leading to acceptation of the methodology and some suggestions for improvement.</abstract>
    <abstract language="por">Este artigo propõe uma metodologia para o projeto de embarcações de recreio a motor, que são uma parte crucial da indústria náutica brasileira. Apesar da grande demanda por essas embarcações, metodologias de projeto para pequenas embarcações de lazer não são bem exploradas na literatura, levando a aspectos não mapeados como tratamento de informações de projeto, engenharia de requisitos e conflitos de trade-off. A metodologia proposta visa sistematizar a obtenção de especificações de projeto, geração e avaliação de conceitos de soluções, empregando ferramentas de apoio ao projeto. A metodologia foi avaliada aplicando-a em uma pequena lancha de recreio, e os resultados foram avaliados positivamente pela indústria náutica e por especialistas acadêmicos, levando à aceitação da metodologia e a algumas sugestões de melhoria.</abstract>
    <parentTitle language="por">Human Factors in Design</parentTitle>
    <additionalTitle language="por">Metodologia de suporte ao projeto informativo e conceitual de pequenas lanchas recreativas</additionalTitle>
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      <first_name>Thiago Pontin</first_name>
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    <title language="eng">Open data in the solar thermal community: Status, barriers, and opportunities</title>
    <abstract language="eng">Open data in the renewable energy sector could contribute to a greener future and reduce carbon emissions. This study investigates existing open datasets in the solar thermal domain, challenges in publishing and using open data and its potential impact. The results support the common belief that open data is useful, offering considerable benefits for data re-users and the solar thermal community. While substantial open data in the solar thermal domain already exists, some datasets like plant statistics and cost data are hard to utilize due to licensing, accessibility, and quality issues. The study shows that data owners benefit less from publishing data compared to data re-users and service providers. While data sharing seems appealing to data owners, several barriers discourage data sharing. Suggestions to promote the use and publications of open data in solar thermal domain are discussed.</abstract>
    <parentTitle language="eng">Solar Energy Advances</parentTitle>
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      <first_name>Jianhua</first_name>
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    <pageNumber>19</pageNumber>
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    <issue>9</issue>
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    <title language="eng">The hybrid renewable energy community approach (HyRECA): Synergising electricity access with bush encroachment mitigation in rural Southern Africa</title>
    <abstract language="eng">Rural electrification and bush encroachment in Southern Africa have long been studied separately. Research shows that hybrid renewable energy systems (HRES) offer viable solutions for off-grid communities, and bush encroachment mitigation is widely recognised as an ecological priority. Using Jamataka, Botswana, as a case study, this study integrates both, asking under which conditions encroacher bush-based HRES are economically viable, which electricity access levels local populations can afford, and whether biomass utilisation contributes to mitigation. Findings indicate strong potential for bush-based HRES in off-grid areas, but competitiveness declines where low-cost grid electricity is available. Economic viability is examined through levelised cost of electricity (LCOE) across alternative HRES configurations. HOMER Pro® simulations indicate PV/biomass/battery systems are most cost-effective off-grid, achieving 100 % renewable fractions, near zero CO₂ emissions, and LCOE of 0.246 $/kWh. In grid-connected contexts without feed-in, PV/diesel/grid combinations dominate (LCOE 0.117 $/kWh) due to low tariffs, but with higher emissions. A novel affordability analysis using household willingness to pay and the World Bank Multi-Tier Framework indicates that all households reach at least Tier 3 electricity access under grid-connected systems and &gt;70 % off-grid, supporting household-use of medium-power appliances. Sustainable biomass extraction clears ∼12 ha annually (∼120 t) in Jamataka, aiding bush encroachment mitigation. Upscaling indicates potential to electrify 1.35 million people in &gt;900 bush-encroached villages across Botswana, Namibia, and South Africa, using &lt;1 % of encroached land – highlighting significant untapped potential. Future research should validate findings through geospatial modelling with high-resolution biomass data and spatially sensitive biomass cost models for region-wide planning.</abstract>
    <parentTitle language="eng">Renewable and Sustainable Energy Transition</parentTitle>
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    <author>
      <first_name>Stuart Daniel</first_name>
      <last_name>James</last_name>
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      <first_name>Markus</first_name>
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      <first_name>Chiedza Ngonidzashe</first_name>
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      <first_name>Romain</first_name>
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    <title language="eng">Science fiction and innovation: A literature analysis on science fiction-related methods mapped into the innovation process</title>
    <abstract language="eng">In the development of innovations over the past decades, data-driven methods have become commonplace. Alongside advantages in effectiveness and efficiency comes the danger of relying on data describing past rather than future developments which can result in a loss of imagination and creativity. In parallel, a growing awareness of the interface between innovation and science fiction can be observed in academia and among practitioners. This awareness is most often based on the hypothesis that taking inspiration from science fiction can create value in the development of innovations. Despite numerous case studies in the literature describing this interface, a major part of methods applied seem to have been chosen in an unstructured, almost random way. This study investigates the literature in search of science fiction-related methods able to support the development of innovations. With around 60.000 publications considered based on a high-level search, a refined search combined with a manual search led to 17 science fiction-related methods to support the development of innovations. Using a six-phase generic innovation process, the methods identified were mapped into the process based on semantic similarities between the objectives of each method and the objectives of innovation process phases. This mapping is understood as an overview and conceptualization offering a baseline for future academic research and guidance for practitioners on choosing the most appropriate science fiction-related methods for developing innovations.</abstract>
    <parentTitle language="eng">Futures</parentTitle>
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      <first_name>Jan Oliver</first_name>
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