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  • SDSN - Greece
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  • Archivio istituzionale della ricerc...
  • Energies

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Francesco Loreggian; Laura Secco; Davide Pettenella;

    The changes and challenges that are tackling the forest sector in recent decades have prompted governments and foresters to work hard to find innovative solutions. Research in the forestry domain has focused on product and process innovation, and more recently on business systems and social innovation. In addition, organizational innovation is recognized and documented. However, while consistent conceptualization work has been conducted for business models and social innovation, the organizational domain in forestry seems less clear, characterized by multiple actors and often overlapping in literature, while a clear framework to describe it is missing. This work proposes a conceptualization of the “organizational model”, a concept embracing different approaches to build an analytical framework used to describe and characterize organizations in the forestry sector. The framework is drafted referring to existing theories, then tested (and further developed) through a semi-systematic literature review on organizations operating in forest management in Europe that are identified, categorized, and characterized. This exercise confirms that forest management organizations can be described with several diverse arrangements and can be complex entities: a holistic and comprehensive approach is more likely to be used by policy initiatives addressing improvement of forest management.

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    Forests
    Other literature type . Article . 2023 . Peer-reviewed
    License: CC BY
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    Forests
    Article . 2023
    Data sources: DOAJ
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Forestsarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Forests
      Other literature type . Article . 2023 . Peer-reviewed
      License: CC BY
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      Forests
      Article . 2023
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Faggion S.; Carnier P.; Franch R.; Babbucci M.; +6 Authors

    AbstractBackgroundThe gilthead sea bream (Sparus aurata) has long been considered resistant to viral nervous necrosis (VNN), until recently, when significant mortalities caused by a reassortant nervous necrosis virus (NNV) strain were reported. Selective breeding to enhance resistance against NNV might be a preventive action. In this study, 972 sea bream larvae were subjected to a NNV challenge test and the symptomatology was recorded. All the experimental fish and their parents were genotyped using a genome-wide single nucleotide polymorphism (SNP) array consisting of over 26,000 markers.ResultsEstimates of pedigree-based and genomic heritabilities of VNN symptomatology were consistent with each other (0.21, highest posterior density interval at 95% (HPD95%): 0.1–0.4; 0.19, HPD95%: 0.1–0.3, respectively). The genome-wide association study suggested one genomic region, i.e., in linkage group (LG) 23 that might be involved in sea bream VNN resistance, although it was far from the genome-wide significance threshold. The accuracies (r) of the predicted estimated breeding values (EBV) provided by three Bayesian genomic regression models (Bayes B, Bayes C, and Ridge Regression) were consistent and on average were equal to 0.90 when assessed in a set of cross-validation (CV) procedures. When genomic relationships between training and testing sets were minimized, accuracy decreased greatly (r = 0.53 for a validation based on genomic clustering,r = 0.12 for a validation based on a leave-one-family-out approach focused on the parents of the challenged fish). Classification of the phenotype using the genomic predictions of the phenotype or using the genomic predictions of the pedigree-based, all data included, EBV as classifiers was moderately accurate (area under the ROC curve 0.60 and 0.66, respectively).ConclusionsThe estimate of the heritability for VNN symptomatology indicates that it is feasible to implement selective breeding programs for increased resistance to VNN of sea bream larvae/juveniles. Exploiting genomic information offers the opportunity of developing prediction tools for VNN resistance, and genomic models can be trained on EBV using all data or phenotypes, with minimal differences in classification performance of the trait phenotype. In a long-term view, the weakening of the genomic ties between animals in the training and test sets leads to decreased genomic prediction accuracies, thus periodical update of the reference population with new data is mandatory.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Genetics Selection E...arrow_drop_down
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    Genetics Selection Evolution
    Article . 2023
    Data sources: DOAJ
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    Genetics Selection Evolution
    Article . 2023 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
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      Genetics Selection Evolution
      Article . 2023
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      Genetics Selection Evolution
      Article . 2023 . Peer-reviewed
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    Authors: Emma ter Mors; Esther van Leeuwen; Christine Boomsma; Renate Meier;

    Policymakers in several European countries are considering the implementation of carbon capture and storage (CCS) technology as part of a strategy to prevent further climate change. Successful CCS implementation requires societal support but planned CCS projects have encountered significant opposition. In this study, we examine the CCS coverage in Dutch national newspapers from 2017 to 2019, a period during which the Dutch CCS landscape underwent several substantial changes, and compare the results to those of earlier media analyses conducted between 1991 and 2011. Most of the 324 articles identified discussed CCS in a neutral (36.4%) or balanced (24.4%) manner, and more critical articles than supportive ones were found (23.1% vs. 16.0%). Consistent with the earlier media analyses, the potential of CCS to reduce carbon dioxide emissions was a major theme in the positive portrayal of CCS, while the argument that CCS implementation is needed for the prompt reduction in emissions gained prominence. High CCS deployment costs and the perception that CCS is an unproven technology have remained major themes in the negative portrayal of CCS. The availability of and preference for alternative solutions was a more prominent theme in the conversation compared to earlier years, whereas the subject of CCS safety was discussed less than before. The study illustrates how media coverage can shed light on the evolving relationships between society and CCS, and on the established and emerging themes in arguments used for and against the technology.

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    Energies
    Other literature type . Article . 2023 . Peer-reviewed
    License: CC BY
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    Energies
    Article . 2023
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Energiesarrow_drop_down
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      Energies
      Other literature type . Article . 2023 . Peer-reviewed
      License: CC BY
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      Energies
      Article . 2023
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Stephan Karmann; Stefan Eicheldinger; Maximilian Prager; Malte Jaensch; +1 Authors

    The following paper presents thermodynamic and optical investigations of hydrogen-enriched methane combustion, showing the potential of a hydrogen admixture as a means to decarbonize stationary power generation. The optical investigations are carried out through a fisheye optical system directly mounted into the combustion chamber, replacing one exhaust valve. All of the tests were carried out with constant fuel energy producing 16 bar indicated mean effective pressure. The engine under investigation is a port-fueled 4.8 L single-cylinder large-bore research engine. The test series compared the differences between a conventional spark plug and an unscavenged pre-chamber spark plug as an ignition system. The fuel blends under investigation are 5 and 10%V hydrogen mixed with methane and pure natural gas acting as a reference fuel. The thermodynamic results show a beneficial influence of the hydrogen admixture on both ignition systems and for all variations concerning the lean running limit, combustion stability and indicated efficiency, with the most significant influence being visible for the tests using conventional spark plugs. With the unscavenged pre-chamber spark plug and the combustion of the 10%V hydrogen admixture, an increase in the indicated efficiency of 0.8% compared to NG is achievable. The natural chemiluminescence intensity traces were observed to be predominantly influenced by the air–fuel equivalence ratio. This results in a 20% higher intensity for the unscavenged pre-chamber spark plug for the combustion of 10%V hydrogen compared to the conventional spark plug. This is also visible in the evaluations of the flame color derived from the dewarped combustion image series. The investigation of the torch flames also shows a difference in the air–fuel equivalence ratio but not between the different fuels. The results encourage the development of hydrogen-based fuels and the potential to store surplus sustainable energy in the form of hydrogen in existing gas grids.

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    Energies
    Other literature type . Article . 2023 . Peer-reviewed
    License: CC BY
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    Energies
    Article . 2023
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    MediaTUM
    Article . 2022
    Data sources: MediaTUM
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Energiesarrow_drop_down
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      Energies
      Other literature type . Article . 2023 . Peer-reviewed
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    Authors: Antonios A. Lithourgidis; Vasileios K. Firfiris; Sotirios D. Kalamaras; Christos A. Tzenos; +2 Authors

    Cold stress in sheep is usually overlooked, even though the animals’ welfare and productivity are affected by low temperatures. The aim of this research was to find out if and to what extent the temperature inside a sheep barn could be maintained within the range of the thermoneutral zone during winter, primarily to increase feed conversion and to reduce GHG emissions. For this reason, an automation system was installed at a sheep barn in northern Greece, and heat losses from the building were calculated. The biogas potential of the sheep barn waste was examined in the laboratory via the BMP method. The results showed that the installation of an automation system together with a hypothetical biogas heating system could maintain the barn’s temperature in the range of a sheep’s thermoneutral zone during winter for the 94% of the scenarios examined if the total energy of the biogas was utilized, while heating energy that was instantly and continuously used succeeded in 48% of the investigated cases. The surplus of energy produced by biogas could potentially raise the water temperature that animals drink up to 2.9 °C. The absence of cold stress decreases the dry matter intake and the CH4 produced by ruminal fermentation. Moreover, lower GHG emissions are achieved as waste is treated through anaerobic digestion, which would likely be released into the environment if left untreated.

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    Energies
    Other literature type . Article . 2023 . Peer-reviewed
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    Energies
    Article . 2023
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      Energies
      Other literature type . Article . 2023 . Peer-reviewed
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      Energies
      Article . 2023
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    Authors: Andrea Michiorri; Anna Maria Sempreviva; Sean Philipp; Paula Perez-Lopez; +2 Authors

    International audience; Research and innovation in renewable energy, such as wind and solar, have been supporting the green transformation of energy systems, the backbone of a low-carbon climate-resilient society. The major challenge is to manage the complexity of the grid transformation to allow for higher shares of highly variable renewables while securing the safety of the stability of the grid and a stable energy supply. A great help comes from the ongoing digital transformation where digitisation of infrastructures and assets in research and industry generates multi-dimensional and multi-disciplinary digital data. However, a data user needs help to find the correct data to exploit. This has two significant facets: first, missing data management, i.e., datasets are neither findable because of missing community standard metadata and taxonomies, nor interoperable, i.e., missing standards for data formats; second, data owners having a negative perception of sharing data. To make data ready for data science exploitation, one of the necessary steps to map the existing data and their availability to facilitate their access is to create a taxonomy for the field’s topics. For this, a group of experts in different renewable technologies such as photovoltaics, wind and concentrated solar power and in transversal fields such as life cycle assessment and the EU taxonomy for sustainable activities have been gathered to propose a coherent and detailed taxonomy for renewable energy-related data. The result is a coherent classification of relevant data sources, considering both the general aspects applicable to electricity generation from selected renewable energy technologies and the specific aspects of each of them. It is based on previous relevant work and can be easily extended to other renewable resources not considered in this work and conventional energy technology.

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    Energies
    Other literature type . Article . 2022 . Peer-reviewed
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      Energies
      Other literature type . Article . 2022 . Peer-reviewed
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    Authors: Jakub Mazurkiewicz;

    This article describes the characteristics of th Oxytree (Paulownia) plant, both in terms of its impact on GHG emissions and its potential use to produce biofuel, i.e., biogas. The described research involved the physico-chemical and elemental analysis of the Oxytree leaf composition and its biogas efficiency depending on the harvesting method. Three different scenarios were considered: the freshest possible leaves—processed immediately after stripping from the living tree; after the first day of collection from pruned or harvested wood; after the first week of collection from pruned or harvested wood. The best results were achieved for the harvest of the freshest leaves—on average 430 m3/Mg (biogas) and 223 m3/Mg (methane) per dry organic mass. The highest yield of biogas in terms of fresh mass (FM) was obtained for leaves fallen and collected after 1 day—123 m3/Mg FM, and 59 m3/Mg FM (methane). Processing Oxytree leaves through anaerobic digestion will contribute to reducing the carbon footprint of wood biomass production and is an additional source of renewable energy and fertilizer product.

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    Energies
    Other literature type . Article . 2022 . Peer-reviewed
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    Article . 2022
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      Energies
      Other literature type . Article . 2022 . Peer-reviewed
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    Authors: Sara Pascual; Pilar Lisbona; Luis M. Romeo;

    Thermal energy storage (TES) is the most suitable solution found to improve the concentrating solar power (CSP) plant’s dispatchability. Molten salts used as sensible heat storage (SHS) are the most widespread TES medium. However, novel and promising TES materials can be implemented into CSP plants within different configurations, minimizing the TES costs and increasing the working temperature to improve the thermal performance of the associated power block. The first objective of this review is to provide an overview of the most widespread CSP technologies, TES technologies and TES-CSP configurations within the currently operational facilities. Once this information has been compiled, the second aim is to collect and present the existing European and North American TES-CSP Research and Development (R&D) projects within the last decade (2011–2021). Data related to these projects such as TES-CSP configuration path, TES and CSP technologies applied, storage capacity, power block associated and the levelized cost of electricity (LCOE) of the commercial up-scaling project are presented. In addition, project information such as location, research period, project leader and budget granted are also extracted. A timeline of the R&D projects launched from 2011 is built, showing the technology readiness level (TRL) achieved by the end of the project.

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    Energies
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      Energies
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    Authors: S. Faggion; P. Carnier; V. Bonfatti; L. Bargelloni;

    Gilthead sea bream (Sparus aurata) has been reported to be susceptible to a reassortant betanodavirus strain (RGNNV/SJNNV), posing a new threat for sea bream industry (Volpe et al. 2020) and raising the attention to selective breeding as a plausible disease prevention action. Genomic selection might be beneficial for traits, such as disease resistance, characterized by difficult, expensive and time-consuming routine individual phenotyping. Genomic models are trained firstly using a reference population of full- and half-sibs of the future breeding candidates, but, in a long-term view, the prediction of the genetic merit of future breeding candidates should be satisfactory even when the reference population consists of distant relatives of the animals to be predicted. In this sense, the genomic predictive accuracy provided by random k-fold cross-validations might be unrealistic. In this study, we assessed the accuracy of a genomic prediction model for VNN symptomatology pseudo-phenotypes (estimated breeding values, EBV) in gilthead sea bream in three different validation settings: 1) a random cross-validation; 2) a cross-validation based on genomic clustering; 3) a leave-one-family-out (LOFO) validation focused on the parents of the fish subjected to the VNN challenge test.

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    Authors: Amina Bensalah; Georges Barakat; Yacine Amara;

    This paper presents an overview of the emerging trends in the development of electrical generators for large wind turbines. To describe the developments in the design of electrical generators, it is necessary to look at the conversion system as a whole, and then, the structural and mechanical performances of the drive train need to be considered. Many drive train configurations have been proposed for large wind turbines; they should ensure high reliability, long availability and reduced maintainability. Although most installed wind turbines are geared, directly driven wind turbines with permanent magnet generators have attracted growing interest in the last few years, which has been in parallel to the continuous increase of the per unit turbine power. The aim of this work is to present the recent commercial designs of electrical generators in large wind turbines. Both the strengths and weaknesses of the existing systems are discussed. The most emerging technologies in high-power, low-speed electrical generators are investigated. Furthermore, a comparative analysis of different electrical generator concepts is performed, and the generators are assessed upon a list of criteria such as the mass, cost, and mass-to-torque ratio. Within the framework of these criteria, it may help to determine whether the electrical generator is technically feasible and economically viable for high-power wind turbines. Finally, this review could help to determine suitable generators for use in large and ultra-large wind energy systems.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Francesco Loreggian; Laura Secco; Davide Pettenella;

    The changes and challenges that are tackling the forest sector in recent decades have prompted governments and foresters to work hard to find innovative solutions. Research in the forestry domain has focused on product and process innovation, and more recently on business systems and social innovation. In addition, organizational innovation is recognized and documented. However, while consistent conceptualization work has been conducted for business models and social innovation, the organizational domain in forestry seems less clear, characterized by multiple actors and often overlapping in literature, while a clear framework to describe it is missing. This work proposes a conceptualization of the “organizational model”, a concept embracing different approaches to build an analytical framework used to describe and characterize organizations in the forestry sector. The framework is drafted referring to existing theories, then tested (and further developed) through a semi-systematic literature review on organizations operating in forest management in Europe that are identified, categorized, and characterized. This exercise confirms that forest management organizations can be described with several diverse arrangements and can be complex entities: a holistic and comprehensive approach is more likely to be used by policy initiatives addressing improvement of forest management.

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    Other literature type . Article . 2023 . Peer-reviewed
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      Forests
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      Forests
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    Authors: Faggion S.; Carnier P.; Franch R.; Babbucci M.; +6 Authors

    AbstractBackgroundThe gilthead sea bream (Sparus aurata) has long been considered resistant to viral nervous necrosis (VNN), until recently, when significant mortalities caused by a reassortant nervous necrosis virus (NNV) strain were reported. Selective breeding to enhance resistance against NNV might be a preventive action. In this study, 972 sea bream larvae were subjected to a NNV challenge test and the symptomatology was recorded. All the experimental fish and their parents were genotyped using a genome-wide single nucleotide polymorphism (SNP) array consisting of over 26,000 markers.ResultsEstimates of pedigree-based and genomic heritabilities of VNN symptomatology were consistent with each other (0.21, highest posterior density interval at 95% (HPD95%): 0.1–0.4; 0.19, HPD95%: 0.1–0.3, respectively). The genome-wide association study suggested one genomic region, i.e., in linkage group (LG) 23 that might be involved in sea bream VNN resistance, although it was far from the genome-wide significance threshold. The accuracies (r) of the predicted estimated breeding values (EBV) provided by three Bayesian genomic regression models (Bayes B, Bayes C, and Ridge Regression) were consistent and on average were equal to 0.90 when assessed in a set of cross-validation (CV) procedures. When genomic relationships between training and testing sets were minimized, accuracy decreased greatly (r = 0.53 for a validation based on genomic clustering,r = 0.12 for a validation based on a leave-one-family-out approach focused on the parents of the challenged fish). Classification of the phenotype using the genomic predictions of the phenotype or using the genomic predictions of the pedigree-based, all data included, EBV as classifiers was moderately accurate (area under the ROC curve 0.60 and 0.66, respectively).ConclusionsThe estimate of the heritability for VNN symptomatology indicates that it is feasible to implement selective breeding programs for increased resistance to VNN of sea bream larvae/juveniles. Exploiting genomic information offers the opportunity of developing prediction tools for VNN resistance, and genomic models can be trained on EBV using all data or phenotypes, with minimal differences in classification performance of the trait phenotype. In a long-term view, the weakening of the genomic ties between animals in the training and test sets leads to decreased genomic prediction accuracies, thus periodical update of the reference population with new data is mandatory.

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    Genetics Selection Evolution
    Article . 2023
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    Genetics Selection Evolution
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      Genetics Selection Evolution
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      Genetics Selection Evolution
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    Authors: Emma ter Mors; Esther van Leeuwen; Christine Boomsma; Renate Meier;

    Policymakers in several European countries are considering the implementation of carbon capture and storage (CCS) technology as part of a strategy to prevent further climate change. Successful CCS implementation requires societal support but planned CCS projects have encountered significant opposition. In this study, we examine the CCS coverage in Dutch national newspapers from 2017 to 2019, a period during which the Dutch CCS landscape underwent several substantial changes, and compare the results to those of earlier media analyses conducted between 1991 and 2011. Most of the 324 articles identified discussed CCS in a neutral (36.4%) or balanced (24.4%) manner, and more critical articles than supportive ones were found (23.1% vs. 16.0%). Consistent with the earlier media analyses, the potential of CCS to reduce carbon dioxide emissions was a major theme in the positive portrayal of CCS, while the argument that CCS implementation is needed for the prompt reduction in emissions gained prominence. High CCS deployment costs and the perception that CCS is an unproven technology have remained major themes in the negative portrayal of CCS. The availability of and preference for alternative solutions was a more prominent theme in the conversation compared to earlier years, whereas the subject of CCS safety was discussed less than before. The study illustrates how media coverage can shed light on the evolving relationships between society and CCS, and on the established and emerging themes in arguments used for and against the technology.

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    Energies
    Other literature type . Article . 2023 . Peer-reviewed
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    Energies
    Article . 2023
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      Energies
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    Authors: Stephan Karmann; Stefan Eicheldinger; Maximilian Prager; Malte Jaensch; +1 Authors

    The following paper presents thermodynamic and optical investigations of hydrogen-enriched methane combustion, showing the potential of a hydrogen admixture as a means to decarbonize stationary power generation. The optical investigations are carried out through a fisheye optical system directly mounted into the combustion chamber, replacing one exhaust valve. All of the tests were carried out with constant fuel energy producing 16 bar indicated mean effective pressure. The engine under investigation is a port-fueled 4.8 L single-cylinder large-bore research engine. The test series compared the differences between a conventional spark plug and an unscavenged pre-chamber spark plug as an ignition system. The fuel blends under investigation are 5 and 10%V hydrogen mixed with methane and pure natural gas acting as a reference fuel. The thermodynamic results show a beneficial influence of the hydrogen admixture on both ignition systems and for all variations concerning the lean running limit, combustion stability and indicated efficiency, with the most significant influence being visible for the tests using conventional spark plugs. With the unscavenged pre-chamber spark plug and the combustion of the 10%V hydrogen admixture, an increase in the indicated efficiency of 0.8% compared to NG is achievable. The natural chemiluminescence intensity traces were observed to be predominantly influenced by the air–fuel equivalence ratio. This results in a 20% higher intensity for the unscavenged pre-chamber spark plug for the combustion of 10%V hydrogen compared to the conventional spark plug. This is also visible in the evaluations of the flame color derived from the dewarped combustion image series. The investigation of the torch flames also shows a difference in the air–fuel equivalence ratio but not between the different fuels. The results encourage the development of hydrogen-based fuels and the potential to store surplus sustainable energy in the form of hydrogen in existing gas grids.

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    Energies
    Other literature type . Article . 2023 . Peer-reviewed
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    Energies
    Article . 2023
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    MediaTUM
    Article . 2022
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      Energies
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    Authors: Antonios A. Lithourgidis; Vasileios K. Firfiris; Sotirios D. Kalamaras; Christos A. Tzenos; +2 Authors

    Cold stress in sheep is usually overlooked, even though the animals’ welfare and productivity are affected by low temperatures. The aim of this research was to find out if and to what extent the temperature inside a sheep barn could be maintained within the range of the thermoneutral zone during winter, primarily to increase feed conversion and to reduce GHG emissions. For this reason, an automation system was installed at a sheep barn in northern Greece, and heat losses from the building were calculated. The biogas potential of the sheep barn waste was examined in the laboratory via the BMP method. The results showed that the installation of an automation system together with a hypothetical biogas heating system could maintain the barn’s temperature in the range of a sheep’s thermoneutral zone during winter for the 94% of the scenarios examined if the total energy of the biogas was utilized, while heating energy that was instantly and continuously used succeeded in 48% of the investigated cases. The surplus of energy produced by biogas could potentially raise the water temperature that animals drink up to 2.9 °C. The absence of cold stress decreases the dry matter intake and the CH4 produced by ruminal fermentation. Moreover, lower GHG emissions are achieved as waste is treated through anaerobic digestion, which would likely be released into the environment if left untreated.

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    Energies
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    Authors: Andrea Michiorri; Anna Maria Sempreviva; Sean Philipp; Paula Perez-Lopez; +2 Authors

    International audience; Research and innovation in renewable energy, such as wind and solar, have been supporting the green transformation of energy systems, the backbone of a low-carbon climate-resilient society. The major challenge is to manage the complexity of the grid transformation to allow for higher shares of highly variable renewables while securing the safety of the stability of the grid and a stable energy supply. A great help comes from the ongoing digital transformation where digitisation of infrastructures and assets in research and industry generates multi-dimensional and multi-disciplinary digital data. However, a data user needs help to find the correct data to exploit. This has two significant facets: first, missing data management, i.e., datasets are neither findable because of missing community standard metadata and taxonomies, nor interoperable, i.e., missing standards for data formats; second, data owners having a negative perception of sharing data. To make data ready for data science exploitation, one of the necessary steps to map the existing data and their availability to facilitate their access is to create a taxonomy for the field’s topics. For this, a group of experts in different renewable technologies such as photovoltaics, wind and concentrated solar power and in transversal fields such as life cycle assessment and the EU taxonomy for sustainable activities have been gathered to propose a coherent and detailed taxonomy for renewable energy-related data. The result is a coherent classification of relevant data sources, considering both the general aspects applicable to electricity generation from selected renewable energy technologies and the specific aspects of each of them. It is based on previous relevant work and can be easily extended to other renewable resources not considered in this work and conventional energy technology.

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      Energies
      Article . 2022
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    Authors: Jakub Mazurkiewicz;

    This article describes the characteristics of th Oxytree (Paulownia) plant, both in terms of its impact on GHG emissions and its potential use to produce biofuel, i.e., biogas. The described research involved the physico-chemical and elemental analysis of the Oxytree leaf composition and its biogas efficiency depending on the harvesting method. Three different scenarios were considered: the freshest possible leaves—processed immediately after stripping from the living tree; after the first day of collection from pruned or harvested wood; after the first week of collection from pruned or harvested wood. The best results were achieved for the harvest of the freshest leaves—on average 430 m3/Mg (biogas) and 223 m3/Mg (methane) per dry organic mass. The highest yield of biogas in terms of fresh mass (FM) was obtained for leaves fallen and collected after 1 day—123 m3/Mg FM, and 59 m3/Mg FM (methane). Processing Oxytree leaves through anaerobic digestion will contribute to reducing the carbon footprint of wood biomass production and is an additional source of renewable energy and fertilizer product.

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    Other literature type . Article . 2022 . Peer-reviewed
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    Article . 2022
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      Other literature type . Article . 2022 . Peer-reviewed
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    Authors: Sara Pascual; Pilar Lisbona; Luis M. Romeo;

    Thermal energy storage (TES) is the most suitable solution found to improve the concentrating solar power (CSP) plant’s dispatchability. Molten salts used as sensible heat storage (SHS) are the most widespread TES medium. However, novel and promising TES materials can be implemented into CSP plants within different configurations, minimizing the TES costs and increasing the working temperature to improve the thermal performance of the associated power block. The first objective of this review is to provide an overview of the most widespread CSP technologies, TES technologies and TES-CSP configurations within the currently operational facilities. Once this information has been compiled, the second aim is to collect and present the existing European and North American TES-CSP Research and Development (R&D) projects within the last decade (2011–2021). Data related to these projects such as TES-CSP configuration path, TES and CSP technologies applied, storage capacity, power block associated and the levelized cost of electricity (LCOE) of the commercial up-scaling project are presented. In addition, project information such as location, research period, project leader and budget granted are also extracted. A timeline of the R&D projects launched from 2011 is built, showing the technology readiness level (TRL) achieved by the end of the project.

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    Energies
    Article . 2022 . Peer-reviewed
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      Energies
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      Energies
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    Authors: S. Faggion; P. Carnier; V. Bonfatti; L. Bargelloni;

    Gilthead sea bream (Sparus aurata) has been reported to be susceptible to a reassortant betanodavirus strain (RGNNV/SJNNV), posing a new threat for sea bream industry (Volpe et al. 2020) and raising the attention to selective breeding as a plausible disease prevention action. Genomic selection might be beneficial for traits, such as disease resistance, characterized by difficult, expensive and time-consuming routine individual phenotyping. Genomic models are trained firstly using a reference population of full- and half-sibs of the future breeding candidates, but, in a long-term view, the prediction of the genetic merit of future breeding candidates should be satisfactory even when the reference population consists of distant relatives of the animals to be predicted. In this sense, the genomic predictive accuracy provided by random k-fold cross-validations might be unrealistic. In this study, we assessed the accuracy of a genomic prediction model for VNN symptomatology pseudo-phenotypes (estimated breeding values, EBV) in gilthead sea bream in three different validation settings: 1) a random cross-validation; 2) a cross-validation based on genomic clustering; 3) a leave-one-family-out (LOFO) validation focused on the parents of the fish subjected to the VNN challenge test.

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    Authors: Amina Bensalah; Georges Barakat; Yacine Amara;

    This paper presents an overview of the emerging trends in the development of electrical generators for large wind turbines. To describe the developments in the design of electrical generators, it is necessary to look at the conversion system as a whole, and then, the structural and mechanical performances of the drive train need to be considered. Many drive train configurations have been proposed for large wind turbines; they should ensure high reliability, long availability and reduced maintainability. Although most installed wind turbines are geared, directly driven wind turbines with permanent magnet generators have attracted growing interest in the last few years, which has been in parallel to the continuous increase of the per unit turbine power. The aim of this work is to present the recent commercial designs of electrical generators in large wind turbines. Both the strengths and weaknesses of the existing systems are discussed. The most emerging technologies in high-power, low-speed electrical generators are investigated. Furthermore, a comparative analysis of different electrical generator concepts is performed, and the generators are assessed upon a list of criteria such as the mass, cost, and mass-to-torque ratio. Within the framework of these criteria, it may help to determine whether the electrical generator is technically feasible and economically viable for high-power wind turbines. Finally, this review could help to determine suitable generators for use in large and ultra-large wind energy systems.

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    Energies
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