• Energy Research
• Open Access close
• Restricted close
• 7. Clean energy close
• 12. Responsible consumption close

This dataset provides annual measurements of the composite index of electricity security risks (MESRI) for countries of the world (for which data is available). It also provides annual series of the different indicators used for the calculation of such index: the governance index (GI), the ratio of growth of the rate of access to electricity in urban area to growth of urbanization rate (RUB), the transformed share of renewable electricity in total supply (RRE), the rate of electricity supply self-sufficiency (ESS), the rate of electricity supply efficiency (ESE), the share of GDP per capita not dedicated to cover the cost of electricity supply (RNEEX), GDP per capita expressed as percentage of the world average GDP per capita (RGDPcW), the rate of access to electricity (RACE).

The datas in this file are the datas of electric load, cooling load and heating load required by users in the industrial park in this example, as well as the predicted output data of fan and photovoltaic.

Strategic Energy Roadmap datasets containing scenario data for energy demand.

Meeting end-of-century global warming targets requires aggressive action on multiple fronts. Recent reports note the futility of addressing mitigation goals without fully engaging the agricultural sector, yet no available assessments combine both nature-based solutions (reforestation, grassland and wetland protection, and agricultural practice change) and cellulosic bioenergy for a single geographic region. Collectively, these solutions might offer a suite of climate, biodiversity, and other benefits greater than either alone. Nature-based solutions are largely constrained by the duration of carbon accrual in soils and forest biomass; each of these carbon pools will eventually saturate. Bioenergy solutions can last indefinitely but carry significant environmental risk if carelessly deployed. We detail a simplified scenario for the U.S. that illustrates the benefits of combining approaches. We assign a portion of non-forested former cropland to bioenergy sufficient to meet projected mid-century transportation needs, with the remainder assigned to nature-based solutions such as reforestation. Bottom-up mitigation potentials for the aggregate contributions of crop, grazing, forest, and bioenergy lands are assessed by including in a Monte Carlo model conservative ranges for cost-effective local mitigation capacities, together with ranges for (a) areal extents that avoid double counting and include realistic adoption rates and (b) the projected duration of different carbon sinks. The projected duration illustrates the net effect of eventually saturating soil carbon pools in the case of most strategies, and additionally saturating biomass carbon pools in the case of reforestation. Results show a conservative end-of-century mitigation capacity of 110 (57 – 178) Gt CO2e for the U.S., ~50% higher than existing estimates that prioritize nature-based or bioenergy solutions separately. Further research is needed to shrink uncertainties but there is sufficient confidence in the general magnitude and direction of a combined approach to plan for deployment now. The dataset is a synthesis of literature values selected based on criteria described in the parent paper’s narrative. The files can be opened in Microsoft Excel or any other spreadsheet that can load Excel-format files.

Additional resources of the paper "Spatial Autocorrelation and Entropy for Renewable Energy Forecasting". The repository includes: - Datasets; - Prediction system and instructions; - Additional experimental results.

The data is from the research work "Wind power potential in highlands of the Bolivian Andes: A numerical approach" submitted to "Energies". This cointains the namelist and wind-turbine.tbl files for the WRF-ARW simulations, the coordinates of wind farms, and MERRA2 data used in this work.

Reserach data gathered from two solar panels of the same specification throughout 14.08.2020 and 18.08.2020. One panel was a prototype solar panel with solar tracker, built with an intention of mounting on a sloped household roof. The other panel was mounted without any mobility as a reference.

The Forschungszentrum Jülich (FZJ IEK-3) has been collecting the data of large-scale battery storage systems (LSS) in Germany since 2012. It contains location, installed capacity, installed power, investment, battery technology, commissioning date, operational status, area of application, and further information on the different LSS projects. We conducted our research through the evaluation of many press releases, prequalification results for ancillary services and bilateral contact to project planners and owners. The database is constantly updated. It contains both realized and planned BSS. The database is not exhaustive, as not all realized projects have publicly available information that can be included in it. Furthermore, storage systems outside of Germany, which are operating at least partly on the German market, are not included in the database. The project-specific sources are also included in the database to make the extended search for any information easier. The database was published together with our paper "The Development of Stationary Battery Storage Systems in Germany – Status 2020". The database provides an update to the database (http://dx.doi.org/10.17632/2rjg6v32d8.1) which was published together with our paper "The Development of Stationary Battery Storage Systems in Germany – A Market Review".