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Artículos en revistas Hybrid microgrids are expected to play an important role in the expansion of access to electricity in developing countries. While most of these systems are operated with dispatch strategies which do not make use of predictions about the load or about the availability of renewable energy resources, forecast-based strategies have recently gained attention as an alternative to bring down operation costs. In this work, we develop a framework to assess this potential under a range of assumptions about the quality of load and photovoltaic generation forecasts. The application of the methodology to a village of 600 households reveals cost savings ranging between 2% and 7% depending on the forecast quality and the composition of the microgrid. We also show that sizing microgrid components under the assumption of a predictive operation strategy results in a design with a higher share of intermittent generation. info:eu-repo/semantics/publishedVersion

Manufacturing processes have a high impact on global energy consumption. Machine tool's environmental impact is typically dominated by the energy absorbed during the use phase. Energy efficiency is progressively considered as an additional performance index in comparing alternative machines, process planning, and machining strategies. For this purpose, this paper proposes a simulation approach that estimates the energy used by a machine tool in producing a generic workpiece by general milling operations. The developed tool simulates the execution of a standard ISO part program, basing on an explicit geometric and mechanistic representation of the cutting process, coupled with an energy model of the machine tool reproducing the power consumption of spindle, axes, and auxiliary units. Energy models were identified by an experimental characterization procedure that can be easily adopted in industrial contexts. The simulator was validated comparing the estimated energy with measurements performed on different cutting tests, evaluating also its computational effort. Moreover, the simulator performances were compared to alternative energy evaluation methods proposed in the literature.

The paper describes a novel approach, Total Factory Simulation, for integration of energy and material flows in manufacturing as well as building simulation combined in a csolution to support planning and optimization of green factories. The first ready module of the approach based on PlantSimulation which explains the integration of energy flows based on programming and thermodynamic estimations within the application is in focus of this paper. A use case of the module in an Italian SME is presented for sequencing purposes taking into account environmental performances

The interfacial structure in "giant" PbS/CdS quantum dots (QDs) was engineered by modulating the Cd:S molar ratio during in situ growth. The control of the gradient interfacial layer could facilitate hole transfer, regulate the transition from double- to single-color emission, as a consequence. These QDs are optically active close-to-the near-infrared (NIR) spectral region and are candidates as absorber materials in solar energy conversion. Photoinduced charge transfer from "giant" QDs to electron scavenger can still take place despite the ultra-thick (~5 nm) shell. The hybrid architecture based on a TiO2 mesoporous framework sensitized by the "giant" QDs with alloyed interface can produce a saturated photocurrent density as high as ~5.3 mA/cm2 in a photoelectrochemical (PEC) cell under 1 Sun illumination, which is around 2 times higher than that of bare PbS and core/thin-shell PbS/CdS QDs sensitizer. The as-prepared PEC device presented very good stability thanks to the "giant" core/shell QDs architecture with tailored interfacial layer and a further coating of the ZnS shell. 78% of the initial current density is kept after 2-h irradiation at 1 Sun. Engineering of electronic band structure plays a key role in boosting the functional properties of these composite systems, which hold great potential for H2 production in PEC devices.

In this paper, the ignition behaviour of droplets composed by crude FPBO and FPBO/EtOH blends at normal pressure is discussed. The tests were carried out, in a closed single droplet combustion chamber with optical accesses, on droplets of diameter in the range 0.8 mm -1.4 mm. FPBO/EtOH blends with percentage of alcohol varying between 5 % v/v and 50 % v/v were tested. To analyse the effectiveness of the addition of ethanol on the ignition properties of FPBOs, the study was also carried out on the crude FPBO used to form the blends. 1D modelling of the evaporation and ignition of droplets of crude FPBO and blends FPBO/EtOH is also discussed. The comparison of numerical and experimental results shows that the model is able to capture the main features of the heating phase of the complex fuels forming the droplets. Proceedings of the 27th European Biomass Conference and Exhibition, 27-30 May 2019, Lisbon, Portugal, pp. 765-770

The data is available for download at the AR6 Scenario Explorer hosted by IIASA. As part of the IPCC's 6th Assessment Report (AR6), authors from Working Group III on Mitigation of Climate Change undertook a comprehensive exercise to collect and assess quantitative, model-based scenarios related to the mitigation of climate change. Building on previous assessments, such as those undertaken for the 5th Assessment Report (AR5) and the Special Report on Global Warming of 1.5°C (SR15), the calls for AR6 for scenarios have been expanded and includes economy-wide GHG emissions, energy, and sectoral scenarios from global to national scales, thus more broadly supporting the assessment across multiple chapters (see Annex III, Part 2 of the WGIII report for more details). The compilation and assessment of the scenario ensemble was conducted by authors of the IPCC AR6 report, and the resource is hosted by the International Institute for Applied Systems Analysis (IIASA) as part of a cooperation agreement with Working Group III of the IPCC. The scenario ensemble contains 3,131 quantitative scenarios with data on socio-economic development, greenhouse gas emissions, and sectoral transformations across energy, land use, transportation, buildings and industry. These scenarios derive from 191 unique modelling frameworks, 95+ model families that are either globally comprehensive, national, multi-regional or sectoral. The criteria for submission included that the scenario is presented in a peer-reviewed journal accepted for publication no later than October 11th, 2021, or published in a report determined by the IPCC WG III Bureau to be eligible grey literature by the same date. The AR6 scenario database is documented in Annex III.2 of the Sixth Assessment Report of Working Group III. For the purpose of the assessment, scenarios have been grouped in various categories relating to, among other things, climate outcomes, overshoot, technology availability and policy assumptions. For ease of use, the dataset is split into multiple files: Scenarios data for the Global region Scenarios data for R5 regions Scenarios data for R6 regions Scenarios data for R10 regions Scenarios data for ISO-3 (country) regions Global metadata indicators file National metadata indicators file The data is available for download at the AR6 Scenario Explorer hosted by IIASA. The license permits use of the scenario ensemble for scientific research and science communication, but restricts redistribution of substantial parts of the data. Please refer to the FAQ and legal code for more information. In addition to the data you may find more relevant information and cite one of the relevant chapters of the WG III report. If working with global or regional (R6, R10) data: Keywan Riahi, Roberto Schaeffer, et al. Mitigation Pathways Compatible with Long-Term Goals, in "Mitigation of Climate Change". Intergovernmental Panel on Climate Change, Geneva, 2022. url: http://www.ipcc.ch/report/sixth-assessment-report-working-group-3/ If working with national data (ISO region data): Franck Lecocq, Harald Winkler, et al. Mitigation and development pathways in the near- to mid-term, in "Mitigation of Climate Change". Intergovernmental Panel on Climate Change, Geneva, 2022. url: http://www.ipcc.ch/report/sixth-assessment-report-working-group-3/ If you find the metadata files particularly useful: Celine Guivarch, Elmar Kriegler, Joana Portugal Pereira, et al. Annex III: Scenarios and Modelling Methods, in "Mitigation of Climate Change". Intergovernmental Panel on Climate Change, Geneva, 2022. url: http://www.ipcc.ch/report/sixth-assessment-report-working-group-3/ Scenarios data also supports analysis in Chapters 2, 5, 6, 7, 9, 10, 12 and 15

The data is available for download at the AR6 Scenario Explorer hosted by IIASA.<<< click here. As part of the IPCC's 6th Assessment Report (AR6), authors from Working Group III on Mitigation of Climate Change undertook a comprehensive exercise to collect and assess quantitative, model-based scenarios related to the mitigation of climate change. Building on previous assessments, such as those undertaken for the 5th Assessment Report (AR5) and the Special Report on Global Warming of 1.5°C (SR15), the calls for AR6 for scenarios have been expanded and includes economy-wide GHG emissions, energy, and sectoral scenarios from global to national scales, thus more broadly supporting the assessment across multiple chapters (see Annex III, Part 2 of the WGIII report for more details). The compilation and assessment of the scenario ensemble was conducted by authors of the IPCC AR6 report, and the resource is hosted by the International Institute for Applied Systems Analysis (IIASA) as part of a cooperation agreement with Working Group III of the IPCC. The scenario ensemble contains 3,131 quantitative scenarios with data on socio-economic development, greenhouse gas emissions, and sectoral transformations across energy, land use, transportation, buildings and industry. These scenarios derive from 191 unique modelling frameworks, 95+ model families that are either globally comprehensive, national, multi-regional or sectoral. The criteria for submission included that the scenario is presented in a peer-reviewed journal accepted for publication no later than October 11th, 2021, or published in a report determined by the IPCC WG III Bureau to be eligible grey literature by the same date. The AR6 scenario database is documented in Annex III.2 of the Sixth Assessment Report of Working Group III. For the purpose of the assessment, scenarios have been grouped in various categories relating to, among other things, climate outcomes, overshoot, technology availability and policy assumptions. The AR6 Scenarios Database is jointly published by the Integrated Assessment Modeling Consortium & International Institute for Applied Systems Analysis. The data is available for download at the AR6 Scenario Explorer hosted by IIASA.<<< click here. For ease of use, the database is provided as multiple files: Filename Description Region coverage Uncompressed Size (MB) Standard files for assessment AR6_Scenarios_Database_World_v1.1.csv All data reported for the World region, primarily from integrated assessment models (IAMs), as well as variables from the climate assessment World only 353 AR6_Scenarios_Database_R5_regions_v1.1.csv All data reported and aggregated to R5 regions, primarily from IAMs. 5 global regions 847 AR6_Scenarios_Database_R6_regions_v1.1.csv All data reported and aggregated to R6 regions (as preferred by IPCC), primarily from IAMs. 6 global regions 408 AR6_Scenarios_Database_R10_regions_v1.1.csv All data reported and aggregated to R10 regions, primarily from IAMs. 10 global regions 1,266 AR6_Scenarios_Database_ISO3_v1.1.csv Ass data reported at the country level, primarily from national integrated assessment and energy systems models, but also IAMs for major countries. Country level 1,155 AR6_Scenarios_Database_metadata_indicators_v1.1.xlsx Wide range of categorical and numerical indicators calculated for each model-scenario. Primarily world data 3 Additional "climate assessment" files New in v1.1 AR6_Scenarios_Database_World_ALL_CLIMATE_v1.1.csv Same as World snapshot above, but with all the climate assessment data for MAGICC and FaIR models included World only 3,006 AR6_Climate_Diagnostics_CICERO-SCM_v1.1.csv Climate assessment data for the CICERO-SCM model World only 743 AR6_Climate_Diagnostics_metadata_indicators_v1.1.xlsx Full set of categorical and numerical indicators relating to the climate assessment, calculated for each model-scenario World only 2 AR6_historical_emissions.csv Historical CO2 and GHGs for world region used in climate assessment World only 0.01 The data is available for download at the AR6 Scenario Explorer hosted by IIASA. The license permits use of the scenario ensemble for scientific research and science communication, but restricts redistribution of substantial parts of the data. Please refer to the FAQ and legal code for more information. In addition to the data you may find more relevant information and cite one of the relevant chapters of the WG III report. If working with global or regional (R6, R10) data: Keywan Riahi, Roberto Schaeffer, et al. Mitigation Pathways Compatible with Long-Term Goals, in "Mitigation of Climate Change". Intergovernmental Panel on Climate Change, Geneva, 2022. url: http://www.ipcc.ch/report/sixth-assessment-report-working-group-3/ If working with national data (ISO region data): Franck Lecocq, Harald Winkler, et al. Mitigation and development pathways in the near- to mid-term, in "Mitigation of Climate Change". Intergovernmental Panel on Climate Change, Geneva, 2022. url: http://www.ipcc.ch/report/sixth-assessment-report-working-group-3/ If you find the metadata files particularly useful: Celine Guivarch, Elmar Kriegler, Joana Portugal Pereira, et al. Annex III: Scenarios and Modelling Methods, in "Mitigation of Climate Change". Intergovernmental Panel on Climate Change, Geneva, 2022. url: http://www.ipcc.ch/report/sixth-assessment-report-working-group-3/ Scenarios data also supports analysis in the Summary for Policy Makers, Technical Summary and Chapters 2, 5, 6, 7, 9, 10, 12 and 15. Climate assessment of global emissions pathways The climate assessment of the long-term global emissions scenarios was undertaken as part of the Chapter 3 assessment. The workflow is available at https://github.com/iiasa/climate-assessment and published in Kikstra et al. 2022. The IPCC Sixth Assessment Report WGIII climate assessment of mitigation pathways: from emissions to global temperatures. Geoscientific Model Development https://doi.org/10.5194/egusphere-2022-471. Scripts for this assessment are at https://doi.org/10.5281/zenodo.7304736 For these purposes, the full climate assessment data is provided, as documented in the table above. Release notes for v1.1 Following feedback and identification of some issues between the versions available to authors in preparation of the published report and the v1.0 public release, updates are made to v1.1.Changes made here are made with the intention of facilitating and improving the reproducibility of the IPCC report. There are no resulting corrections to the report and its findings, as these issues were identified by authors and manually addressed. Full list of release notes is published on the Downloads page https://data.ene.iiasa.ac.at/ar6/#/downloads The data is available for download at the AR6 Scenario Explorer hosted by IIASA.<<< click here.

We report optical measurements on MAPbI3solar cells, together withab initiosimulations, to investigate the material property changes across the tetragonal to cubic phase transition.