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Dataset results
24 results for “Energy planning”
EPA Integrated Planning Model (IPM) National Electric Energy Data System (NEEDS) database
EPA is making the latest power sector modeling platform available, including the associated input data and modeling assumptions, outputs, and documentation.
Dataset: Spatial Data Starter Kit for OnSSET Energy Planning in Kitui County, Kenya
<p>This is a set of openly-available data pre-processed to facilitate county-level energy planning using the Open Source Spatial Electrification Tool (OnSSET) in Kitui County, Kenya. It provides a ready-to-use starter kit of data inputs for county-level OnSSET analysis. The work to identify these data is submitted for publication - publication details will be added here as soon as possible upon release. These data are contained in spatial data files used to create the input for OnSSET in Kitui, and a prepared CSV data input for OnSSET in Kitui (<em>kitui_OnSSET_data</em>). The following spatial data files are included in the dataset:</p> <ul> <li>kitui_admin: A vector (.geojson) file containing the administrative boundaries of Kitui county. </li> <li>kitui_clusters: A vector (.geojson) file locating population clusters generated in data processing for OnSSET.</li> <li>kitui_demand: A raster (.tif) file containing merged health, agriculture, commercial, and residential demands for Kitui county in kWh.</li> <li>kitui_elevation: A raster (.tif) containing elevation information.</li> <li>kitui_GHI: A raster (.tif) file containing global horizontal irradiance data for Kitui county.</li> <li>kitui_hydro: A vector (.geojson) file containing the locations of hydropower stations in Kitui county. Note that there are none, and that this is expected.</li> <li>kitui_night_lights: A raster (.tif) file capturing the light emitted from Kitui county at night.</li> <li>kitui_power_stations: A vector (.geojson) file showing the locations of power stations in Kitui county.</li> <li>kitui_roads: A vector (.geojson) file showing the main roadways in Kitui county.</li> <li>kitui_transformers: A vector (.geojson) file showing transformer locations in Kitui county.</li> <li>kitui_transmission_lines: A vector (.geojson) file locating transmission lines in Kitui county. </li> <li>kitui_travel_hours: A raster (.tif) file showing travel time to the nearest market center in Kitui county.</li> <li>kitui_wind_100: A raster (.tif) file of wind speeds at 100 m in Kitui county.</li> </ul> <p>This dataset has been produced through work undertaken in the Climate Compatible Growth Programme.</p>
National Energy and Climate Plans - Preliminary analysis on Prosumerism for 9 EU Member States
<p>Preliminary check on the provisions on self-consumption and energy communities in the draft National Energy and Climate Plans (NECPs) of nine EU Member States (BE, DE, ES, FR, HR, IT, NL, PT, UK). The main findings are that only France and Spain put a reasonable emphasis on the importance of self-consumption and energy communities as suggested by RED II. Germany and Italy show some efforts while the NECPs of the other five member states contain only weak or no provisions on prosumerism. Most countries don’t define neither targets nor measures.</p>
Zambezi dataset to "WHAT-IF: an open-source decision support tool for water infrastructure investment planning within the Water-Energy-Food-Climate Nexus"
<p>This is the dataset used in the HESS publication "<a href="https://www.hydrol-earth-syst-sci-discuss.net/hess-2019-167/">WHAT-IF: an open-source decision support tool for water infrastructure investment planning within the Water-Energy-Food-Climate Nexus</a>"</p> <p>The dataset describes the water-energy-food nexus of the Zambezi River Basin used as input to the <a href="https://github.com/RaphaelPB/WHAT-IF">WHAT-IF model</a>.</p> <p>The file Data_Organization.pdf, summarizes the available data. For more info look at the <a href="https://www.hydrol-earth-syst-sci-discuss.net/hess-2019-167/">publication</a> and/or <a href="https://github.com/RaphaelPB/WHAT-IF">Github</a>.</p>
Energy consumption data from an office building, waterpark and warehouse in Slovenia and energy production data from a PV Plan (900KW)
<p>The first dataset included 9-month hourly energy data from a waterpark, a warehouse and high-rise office buildings. The second dataset includes 10-year hourly energy production data from a PV plant (900KW). Both datasets refer to Ljubljana, Slovenia. </p>
Optimal planning of autonomous electric vehicles charging stations with photovoltaic generations and energy storage systems
<p>This database contains technical information on the 69-bus electrical distribution system. This system was tested in a mixed integer linear programming model for allocating autonomous electric vehicle charging stations equipped with photovoltaic generation and energy storage systems. Additionally, this document contains data related to charging stations, energy storage systems, and operational scenarios applied to the case studies.</p>
Data and code in support of "Rethinking energy planning to mitigate environmental and climatic impacts of future African hydropower"
<p>This dataset contains all the data and processing needed to produce results and figures reported in the manuscript "Rethinking energy planning to mitigate environmental and climatic impacts of future African hydropower".</p> <p> </p> <p>The README file guides through the material available to support replication of the results and figures.</p>
METADATA for results of irradiation-induced complex DNA damage measurements using plasmid pBR322 along a typical Proton Treatment Plan at the MedAustron proton and carbon beam therapy facility (energy 137–198 MeV and Linear Energy Transfer (LET) range 1–9 keV/μm), by means of Agarose Gel Electrophoresis and DNA fragmentation using Atomic Force Microscopy (AFM)
Open the record for dataset details and reuse information.
Data sets accompanying "Methodological and reporting inconsistencies in land-use requirements misguide future renewable energy planning"
<p>This data sets accompany the publication "Methodological and reporting inconsistencies in land-use requirements misguide future renewable energy planning" in One Earth.</p> <ul> <li>lur-db-output-zenodo.xlsx: contains all land use requirement estimates for renewable energies reviewed in the publication. Meta-data is reported in one sheet, the other sheet contains the original data.</li> <li>authorship-tree-zenodo.xlsx: contains the information necessary to derive the authorship tree shown in the supplementary information. Meta-data is reported in one sheet, the other sheet contains the original data.<br><br><br></li> </ul>
The Long-term energy planning with highly detailed demand modelling for Egypt: an IOA-MAED-OSeMOSYS soft-linking approach
<p>These files contain an updated model built for Egypt's power system as of 2023, with detailed demand simulation in 3 different scenarios; business as usual, high economic growth and industrial energy efficiency.</p> <p>Also, a multi region model built for Egypt, Sudan and Ethiopia power sector technologies for future cooperation scenarios.</p>
Case study input data set for article "Stochastic planning of energy system transformation pathways under uncertain industry demands"
<p>The data set contains input data for the model EMPRISE of Fraunhofer Institute for Energy Economics and Energy System Technology IEE. </p>
Data for Paper: A rigorous optimization method for long-term multi-stage investment planning: Integration of hydrogen into a decentralized multi-energy system
<p>Data containing the results and figures presented in the paper "A rigorous optimization method for long-term multi-stage investment planning: Integration of hydrogen into a decentralized multi-energy system" by Luka Bornemann and Jelto Lange and Martin Kaltschmitt, submitted to the Journal Energy Reports.</p>
Available Community Energy Transition Plan Data
<p>This is the extracted data for 186 communities that have made a pledge to be 100% renewable. A Systematic online search was conducted to find current plans and assess the gaps in community energy transitions. Please cite and reference the manuscript "<strong>Ready or not, here it comes: Assessing the gaps in community plans for renewable energy transitions</strong><strong> within the United States" </strong>published in Energy Research and Social Science </p>
Decision problem for renewable energy planning in Turkey (Dataset). June 2019
<p>This dataset compromises the decision problem for renewable energy planning in Turkey, adopted from the literature (Kahraman and Kaya 2010; Erdogan and Kaya 2015; Mousavi et al. 2017).</p> <p>The decision problem consists in evaluating and selecting the most appropriate renewable energy alternative for Turkey, and includes:</p> <ul> <li>Five alternatives (<strong>Hydro, Wind, Solar, Biomass, and Geothermal</strong>).</li> <li>Five dimensions fo criteria (<strong>Technological, Technical, Economical, Environmental, and Socio-politic</strong>), with 31 sub-criteria.</li> <li>Weights of criteria.</li> <li>Direction of criteria: "max" if the sub-criterion needs to be maximized ("bigger is better”) and "min" if it needs to be minimized (”smaller is better”).</li> </ul> <p>The dataset is used in the following paper:</p> <p><em>Ezbakhe, F. and Pérez-Foguet, A. (2019) Decision analysis for sustainable development: the case of renewable energy planning under uncertainty. European Journal of Operational Research. </em><a href="https://doi.org/10.1016/j.ejor.2020.02.037">https://doi.org/10.1016/j.ejor.2020.02.037</a></p>
Time-Plan Optimization with Genetic Algorithm for Regain of Energy from Train Tracks
<p>Dataset using for Time-Plan Optimization with Genetic Algorithm for Regain of Energy from Train Tracks</p>
Data from: Conservation planning for offsetting the impacts of development: a case study of biodiversity and renewable energy in the Mojave Desert
Balancing society's competing needs of development and conservation requires careful consideration of tradeoffs. Renewable energy development and biodiversity conservation are often considered beneficial environmental goals. However, the direct footprint and disturbance of renewable energy can displace species' habitat and negatively impact populations and communities if sited without ecological consideration. To mitigate residual impacts, offsets have emerged as a potentially useful tool after trying to avoid, minimize, or restore affected sites. Yet where many species or many sites are involved, the problem of efficiently designing a set of offset sites becomes increasingly complex. Spatial conservation prioritization tools are designed to handle this problem, but have seen little application to offset siting and analysis. To address this need we designed an offset siting support tool for the Desert Renewable Energy Conservation Plan (DRECP) of California, and present a case study of hypothetical impacts from solar development in the Western Mojave subsection. We compare two offset scenarios designed to mitigate a hypothetical 15,331 ha derived from proposed utility-scale solar energy development (USSED) projects. The first prioritizes offsets based precisely on impacted features, while the second offsets impacts based on the potential to maximize biodiversity conservation gains in the region. The two methods only agree on 28% of their prioritized sites and differ in meeting species-specific offset goals. Differences between the two scenarios highlight the importance of clearly specifying choices and priorities for offset siting and mitigation in general. Similarly, the effects of background climate and land use change may lessen the durability or effectiveness of offsets if not considered. Our offset siting support tool was designed specifically for the DRECP area, but with minor code modification could work well in other offset analyses, and provide continuing support for a potentially innovative mitigation solution to environmental impacts.
Supplementary Information of Multistage Provincial Power Expansion Planning and Market Design toward Energy Transition: A Case Study of Xinjiang in China
<p>Supplementary Information of Multistage Provincial Power Expansion Planning and Market Design toward Energy Transition: A Case Study of Xinjiang in China</p>
Effectiveness of the Optifast Program Compared With a Reduced-energy Food Based Diet Plan on Body Weight
ClinicalTrials.gov study NCT02635698. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Conservation planning for offsetting the impacts of development: a case study of biodiversity and renewable energy in the Mojave Desert
Open the record for dataset details and reuse information.
Development and demonstration of the next generation of renewable energy-driven technologies for buildings and industrial processes heating and cooling - João Soares 6 year plan
<p>This figure illustrates the six years research plan and methods of João Soares, with the main goal to develop, evaluate and demonstrate the next generation of RES (solar, biomass or hybrid) driven technologies for heating and cooling (H/C) in buildings and industrial processes. </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.