{"type": "FeatureCollection", "features": [{"id": "10.1002/we.2621", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:14:10Z", "type": "Journal Article", "created": "2021-02-14", "title": "Conditional variational autoencoders for probabilistic wind turbine blade fatigue estimation using Supervisory, Control, and Data Acquisition data", "description": "Abstract<p>Wind turbine fatigue estimation is based on time\uffe2\uff80\uff90consuming Monte Carlo simulations for various wind conditions, followed by cycle\uffe2\uff80\uff90counting procedures and the application of engineering damage models. The outputs of the fatigue simulations are large in volume and of high dimensionality, as they typically consist of estimates on finite\uffe2\uff80\uff90element computational meshes. The strain and stress tensor time series, which are the primary quantities of interest when considering the problem of fatigue estimation, are dictated by complex vibration characteristics due to the coupled effect of aerodynamics, structural dynamics, geometrically non\uffe2\uff80\uff90linear mechanics, and control. A Variational Auto\uffe2\uff80\uff90Encoder (VAE) is trained in order to model the probability distribution of the accumulated fatigue on the root cross\uffe2\uff80\uff90section of a simulated wind turbine blade. The VAE is conditioned on historical data that correspond to coarse wind\uffe2\uff80\uff90field measurement statistics, such as mean hub\uffe2\uff80\uff90height wind speed, standard deviation of hub\uffe2\uff80\uff90height wind speed and shear exponent. In the absence of direct measurements of structural loads, the proposed technique finds applications in making long\uffe2\uff80\uff90term probabilistic deterioration predictions from historical Supervisory, Control, and Data Acquisition (SCADA) data, while capturing the inherent aleatoric uncertainty due to the incomplete information on strain time series of the wind turbine structure, when only SCADA data statistics are available.</p>", "keywords": ["CVAE", "deep generative models", "high dimensional simulation outputs", "uncertainty quantification", "TJ807-830", "blade root fatigue", "conditional variational autoencoder", "SCADA", "wind turbine blade", "7. Clean energy", "Renewable energy sources"]}, "links": [{"href": "https://doi.org/10.1002/we.2621"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Wind%20Energy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/we.2621", "name": "item", "description": "10.1002/we.2621", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/we.2621"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-11T00:00:00Z"}}, {"id": "10.1111/gcbb.12631", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:17:32Z", "type": "Journal Article", "created": "2019-05-27", "title": "A global meta-analysis of soil organic carbon response to corn stover removal", "description": "Abstract<p>Corn (Zea mays L.) stover is a global resource used for livestock, fuel, and bioenergy feedstock, but excessive stover removal can decrease soil organic C (SOC) stocks and deteriorate soil health. Many site\uffe2\uff80\uff90specific stover removal experiments report accrual rates and SOC stock effects, but a quantitative, global synthesis is needed to provide a scientific base for long\uffe2\uff80\uff90term energy policy decisions. We used 409 data points from 74 stover harvest experiments conducted around the world for a meta\uffe2\uff80\uff90analysis and meta\uffe2\uff80\uff90regression to quantify removal rate, tillage, soil texture, and soil sampling depth effects on SOC. Changes were quantified by: (a) comparing final SOC stock differences after at least 3\uffc2\uffa0years with and without stover removal and (b) calculating SOC accrual rates for both treatments. Stover removal generally reduced final SOC stocks by 8% in the upper 0\uffe2\uff80\uff9315 or 0\uffe2\uff80\uff9330\uffc2\uffa0cm, compared to stover retained, irrespective of soil properties and tillage practices. A more sensitive meta\uffe2\uff80\uff90regression analysis showed that retention increased SOC stocks within the 30\uffe2\uff80\uff93150\uffc2\uffa0cm depth by another 5%. Compared to baseline values, stover retention increased average SOC stocks temporally at a rate of 0.41\uffc2\uffa0Mg C\uffc2\uffa0ha\uffe2\uff88\uff921\uffc2\uffa0year\uffe2\uff88\uff921 (statistically significant at p\uffc2\uffa0&lt;\uffc2\uffa00.01 when averaged across all soil layers). Although SOC sequestration rates were lower with stover removal, with moderate (&lt;50%) removal they can be positive, thus emphasizing the importance of site\uffe2\uff80\uff90specific management. Our results also showed that tillage effects on SOC stocks were inconsistent due to the high variability in practices used among the experimental sites. Finally, we conclude that research and technological efforts should continue to be given high priority because of the importance in providing science\uffe2\uff80\uff90based policy recommendations for long\uffe2\uff80\uff90term global carbon management.</p>", "keywords": ["2. Zero hunger", "TJ807-830", "04 agricultural and veterinary sciences", "15. Life on land", "carbon sequestration", "Energy industries. Energy policy. Fuel trade", "Renewable energy sources", "soil organic carbon", "corn", "meta\u2010analysis", "13. Climate action", "tillage", "0401 agriculture", " forestry", " and fisheries", "HD9502-9502.5", "stover removal"]}, "links": [{"href": "https://doi.org/10.1111/gcbb.12631"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/GCB%20Bioenergy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcbb.12631", "name": "item", "description": "10.1111/gcbb.12631", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcbb.12631"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-02T00:00:00Z"}}, {"id": "10.1016/j.nexus.2021.100017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:15:54Z", "type": "Journal Article", "created": "2021-11-08", "title": "Economic contributions and synergies of biogas with the SDGs in Ethiopia", "description": "Domestic biogas technology helps to foster sustainable development in different ways. It is particularly important in countries like Ethiopia where about 80% of the population lives in rural areas, and more than 90% of the households use solid biomass for cooking. In light of this, the Government of Ethiopia has launched a National Biogas Programme in 2008. The Programme, now in its third phase, has successfully installed tens of thousands of biogas digesters. This paper aims to give a macroeconomic insight on the role of the biogas sector in Ethiopia. The annual gross value of biogas outputs reached USD 7.7 million in 2015/16. Installing biogas digesters contributes USD 1.4 million each year to the construction industry. Results of the study indicate that the micro and macroeconomic contributions of biogas sector partly rely on the effective utilization of its co-product (i.e., the slurry) as fertilizer. Agricultural policies of the country should therefore highlight and link domestic biogas production with the extension services.", "keywords": ["Domestic biogas", "2. Zero hunger", "Domestic biogas", " Rural energy", " Energy transition", " SDGs", " Ethiopia", "Agriculture (General)", "1. No poverty", "Rural energy", "TJ807-830", "02 engineering and technology", "01 natural sciences", "7. Clean energy", "Renewable energy sources", "S1-972", "12. Responsible consumption", "13. Climate action", "11. Sustainability", "0202 electrical engineering", " electronic engineering", " information engineering", "Ethiopia", "Energy transition", "SDGs", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://iris.unive.it/bitstream/10278/5009820/2/Yalew_2021_Economic%20contributions%20and%20synergies%20of%20biogas%20with%20the%20SDGs%20in%20Ethiopia.pdf"}, {"href": "https://doi.org/10.1016/j.nexus.2021.100017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Energy%20Nexus", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.nexus.2021.100017", "name": "item", "description": "10.1016/j.nexus.2021.100017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.nexus.2021.100017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-01T00:00:00Z"}}, {"id": "10.1016/j.rset.2022.100018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:15:57Z", "type": "Journal Article", "created": "2022-02-20", "title": "The Ethiopian energy sector and its implications for the SDGs and modeling", "description": "The level and mix of energy supply and consumption have substantial roles in shaping the sustainable development pathway of a country. This is particularly important in developing regions where access to modern energy sources remains limited. This paper gives a narrative overview of the energy sector in Ethiopia. It presents the key historical trends and outstanding issues in the energy sector. It also explores the ways through which energy transition could support achieving the Sustainable Development Goals (SDGs) in the country. The review shows that energy supply and consumption in Ethiopia are dominated by bioenergy (88%) and by households (88%), respectively. Electricity barely accounts for 3% of the total energy supply although its generation has increased by more than four times between 2004/05 and 2018/19. Furthermore, the dominance of bioenergy source and households demand is projected to continue until the middle of the century. This study identifies research gaps, particularly, in terms of linking the energy sector with the rest of the economy and the environment using multi-sectoral economic models. Such advanced modeling is constrained by the lack of centrally coordinated energy data source among others. Creating an open platform that facilitates information exchange between energy planning institutions and academic researchers could be a crucial step in this regard.", "keywords": ["Sustainable development", "Energy security", "0211 other engineering and technologies", "0202 electrical engineering", " electronic engineering", " information engineering", "Energy security", " Energy transition", " Energy modeling", " Sustainable development", " SDGs", " Ethiopia", "Energy modeling", "TJ807-830", "Ethiopia", "02 engineering and technology", "Energy transition", "SDGs", "Renewable energy sources"], "contacts": [{"organization": "Yalew, Amsalu Woldie", "roles": ["creator"]}]}, "links": [{"href": "https://iris.unive.it/bitstream/10278/5008982/2/Yalew_2022_The%20Ethiopian%20energy%20sector%20and%20its%20implications%20for%20the%20SDGs%20and%20modelling.pdf"}, {"href": "https://doi.org/10.1016/j.rset.2022.100018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Renewable%20and%20Sustainable%20Energy%20Transition", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.rset.2022.100018", "name": "item", "description": "10.1016/j.rset.2022.100018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.rset.2022.100018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-01T00:00:00Z"}}, {"id": "10.1111/gcbb.12924", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:17:32Z", "type": "Journal Article", "created": "2022-01-29", "title": "The effects of integrated food and bioenergy cropping systems on crop yields, soil health, and biomass quality: The EU and Brazilian experience", "description": "Abstract<p>Integrated food and bioenergy production is a promising way to ensure regional/national food and energy security, efficient use of soil resources, and enhanced biodiversity, while contributing to the abatement of CO2 emissions. The objective of this study was to assess alternative crop rotation schemes as the basis for integrating and enhancing the sustainable biomass production within the food\uffe2\uff80\uff90energy agricultural context. Sunn hemp (Crotalaria spp.) in rotation with wheat (Triticum spp.) in the EU and with sugarcane (Saccharum spp.) in Brazil were evaluated. Sunn hemp did not negatively affect crop's productivity and soil fertility; wheat grain yields were maintained around the mean regional production levels (6, 7, 3 and Mg ha\uffe2\uff88\uff921 in Greece, Italy, and Spain, respectively), and the cumulative biomass in the extended rotation (wheat straw+sunn hemp) was between 1.5 and 2.0 times higher than in the conventional rotation. In Brazil, sugarcane stalks yield in clay soils increased by around 15\uffc2\uffa0Mg ha\uffe2\uff88\uff921\uffc2\uffa0year\uffe2\uff88\uff921 under sunn hemp rotation in comparison with bare fallow. Moreover, sunn hemp in the EU rotations did not have negative effects on soil available macronutrients, organic matter, pH, and cation exchange capacity, neither on C and N stocks in Brazil. The qualitative characteristics (mineral, ash, and hemicelluloses contents) of the cumulated biomass were somehow higher (in average +26%, +35%, and +3.4%, respectively) than in the conventional system. In summary, in temperate and tropical climates the integration of dedicated biomass legume crops within conventional systems could lead to enhanced biomass availability, crop diversification, and efficient use (in space and time) of the land resources.</p>", "keywords": ["legume crops", "0106 biological sciences", "2. Zero hunger", "advanced biofuels", "biomass", "TJ807-830", "04 agricultural and veterinary sciences", "15. Life on land", "Energy industries. Energy policy. Fuel trade", "01 natural sciences", "7. Clean energy", "Renewable energy sources", "12. Responsible consumption", "lignocellulose", "advanced biofuels; biomass; legume crops; lignocellulose; quantitative; qualitative traits; SOC; soil fertility; sugarcane", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "HD9502-9502.5", "SOC", "quantitative/qualitative traits"]}, "links": [{"href": "https://cris.unibo.it/bitstream/11585/895750/2/GCB%20Bioenergy%20-%202022%20-%20Zegada%e2%80%90Lizarazu%20-%20The%20effects%20of%20integrated%20food%20and%20bioenergy%20cropping%20systems%20on%20crop%20yields%20%20soil.pdf"}, {"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcbb.12924"}, {"href": "https://doi.org/10.1111/gcbb.12924"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/GCB%20Bioenergy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcbb.12924", "name": "item", "description": "10.1111/gcbb.12924", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcbb.12924"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-09T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=TJ807-830&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=TJ807-830&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=TJ807-830&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=TJ807-830&offset=5", "hreflang": "en-US"}], "numberMatched": 5, "numberReturned": 5, "distributedFeatures": [], "timeStamp": "2026-09-20T21:04:29.398380Z"}