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ShareScore release 0.7.1
Dataset results
42 results for “Energy Communities”
Supporting Information - Estimating thermal energy loads in remote and northern communities to facilitate a net-zero transition
<p>This file accompanies "A method for estimating thermal energy loads in Canada’s remote and northern communities" by Ian Maynard and Ahmed Abdulla.</p> <p>This supporting information contains:</p> <ul> <li>Calculations and thermal loads of 40 communities discussed in the above paper</li> <li>Heating Degree Hour (HDH) distribution calculations</li> <li>Diagnostics and dataset used for developing a model for predicting annual and monthly thermal loads using ordinary least squares regression</li> </ul>
Supporting Information - Optimizing hydrogen microgrids to facilitate diesel exit and meet the energy needs of remote and northern communities
<p>This file accompanies "Optimizing hydrogen microgrids to facilitate diesel exit and meet the energy needs of remote and northern communities" by Ian Maynard and Ahmed Abdulla.</p> <p>This supporting information contains:</p> <ul> <li>Nomenclature</li> <li>Data inputs</li> <li>Cost ratios used in cost calculations</li> <li>References</li> <li>Optimization results of 40 communities discussed in the paper above</li> </ul>
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>
A complete energy community dataset with photovoltaic generation, battery energy storage systems and electric vehicles (v1.5)
<p>This dataset represents a complete European energy community based on actual data. In this scenario, a community of 250 households was built using real energy consumption and solar generation data obtained in homes throughout Europe. In total, 200 community members were assigned solar generation, while 150 were assigned a battery storage system. From the acquired sample, new profiles were created and randomly assigned to each end-user while also receiving two electric cars with information on their capacity, state-of-charge, and usage. Furthermore, it is provided the electric vehicle chargers’ information on their location, type, and cost of operation.</p> <p> </p> <p>Version 1.5 update: <span>on the Sheet EVs, lines 29 (Capacity kW), 30 (Charge kW), and 31 (Discharge kW) were updated to the correct values.</span></p> <p> </p> <p>This work has been published in Elsevier's Data in Brief journal:<br><em> Ricardo Faia, Calvin Goncalves, Luis Gomes, Zita Vale<br> Dataset of an energy community with prosumer consumption, photovoltaic generation, battery storage, and electric vehicles<br> Data in Brief, 2023, 109218, ISSN 2352-3409<br> <a href="https://doi.org/10.1016/j.dib.2023.109218.">https://doi.org/10.1016/j.dib.2023.109218</a><br> (<a href="https://www.sciencedirect.com/science/article/pii/S2352340923003372)">https://www.sciencedirect.com/science/article/pii/S2352340923003372)</a></em></p> <p> </p> <p>We would be grateful if you could acknowledge the use of this dataset in your publications. Please use the Data in Brief publication to cite this work.</p> <p> </p> <p>Reference data used to create this dataset:</p> <ul> <li>Filtered energy profiles and renewable energy production profiles: <a href="../record/6778401">https://zenodo.org/record/6778401</a></li> </ul> <ul> <li>Battery storage systems and electric vehicles: <a href="../record/4737293">https://zenodo.org/record/4737293</a></li> </ul>
Data from: High rates of carbon and dinitrogen fixation suggest a critical role of benthic pioneer communities in the energy and nutrient dynamics of coral reefs
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Long-term nitrogen addition alters the community and energy channel but not diversity of soil nematodes in a subtropical forest
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Online Companion: A Preference Informed Energy Sharing Framework for a Centralized Energy Community
<p>This manuscript serves as an electronic companion to [1]. We present the complementary input data, including prosumers target demand, PV power generation, and electricity market prices.</p><p> </p><p> </p>
Datasets Experimental Studies on Energy Communities (Task 4.2, D4.1)
<p>The datasets are part of WP4 and the Report on experimental lab studies on energy communities (D4.1): </p> <p>Municipality and citizen involvement:</p> <ul> <li>Study 1 Netherlands, mailing list Vattenfall </li> <li>Study 2 Representative sample Netherlands</li> <li>Study 3 Replication Poland</li> </ul> <p>Environmental motivation and connection with the local community:</p> <ul> <li>Study 4 Germany</li> <li>Study 5 Italy</li> </ul> <p>Diversity and representation in energy communities:</p> <ul> <li>Study 6 Netherlands</li> <li>Study 7 Replication Italy</li> </ul> <p>Energy citizenship at the local, national, and EU level:</p> <ul> <li>Study 8 Austria</li> <li>Study 9 Replication the Netherlands</li> <li>Study 10 Replication Germany </li> </ul> <p>Available upon request:</p> <ul> <li> <p>Not all measures are included in these datasets, to ensure anonymity. More extensive versions of datasets 1-7 (e.g., including socio-demographics) are available upon request via DataverseNL (<a href="https://doi.org/10.34894/H2WVYG">https://doi.org/10.34894/H2WVYG). </a></p> </li> </ul> <p><em>Note.</em> Data for studies 1-7 was collected and processed by the research team of the University of Groningen, data for studies 8-10 was collected and processed by the research team of the University of Graz. </p> <p> </p>
Data from: Functional traits and environmental conditions predict community isotopic niches and energy pathways across spatial scales
1. Despite ongoing research in food web ecology and functional biogeography, the links between food-web structure, functional traits and environmental conditions across spatial scales remain poorly understood. Trophic niches, defined as the amount of energy and elemental space occupied by species and food webs, may help bridge this divide. 2. Here, we ask how the functional traits of species, the environmental conditions of habitats and the spatial scale of analysis jointly determine the characteristics of trophic niches. We used isotopic niches as a proxy of trophic niches, and conducted analyses at spatial scales ranging from local food webs and metacommunities to geographically distant sites. 3. We sampled aquatic macroinvertebrates from 104 tank bromeliads distributed across five sites from Central to South America, and compiled the macroinvertebrates' functional traits and stable isotope values (δ15N and δ13C). We assessed how isotopic niches within each bromeliad were influenced by the functional trait composition of their associated invertebrates and environmental conditions (i.e., habitat size, canopy cover, and detrital concentration). We then evaluated whether the diet of dominant predators and, consequently, energy pathways within food webs, reflected functional and environmental changes among bromeliads across sites. Finally, we determined the extent to which the isotopic niches of macroinvertebrates within each bromeliad contributed to the metacommunity isotopic niches within each site, and compared these metacommunity-level niches over biogeographic scales. 4. At the bromeliad level, isotopic niches increased with the functional richness of species in the food web and the detrital concentration in the bromeliad. The diet of top predators tracked shifts in prey biomass along gradients of canopy cover and detrital concentration. Bromeliads that grew under heterogeneous canopy cover displayed less trophic redundancy and therefore combined to form larger metacommunity isotopic niches. Finally, the size of metacommunity niches depended on within-site heterogeneity in canopy cover. 5. Our results suggest that the trophic niches occupied by food webs can predictably scale from local food webs to metacommunities to biogeographic regions. This scaling process is determined by both the functional traits of species and heterogeneity in environmental conditions.
Data from: Socio-economic impacts of energy access through off-grid systems in rural communities: A case study of South-West Nigeria
<p><span><span>The development of resilient energy systems is important for sustainable cities and communities. However, in countries with insufficient national energy supply, electricity distributors rarely consider remote communities due to their distant settlement, low electricity demand and poor payment capabilities. The United Nations has set a goal to deliver universal energy access by 2030, hence, it has become imperative to deploy clean and affordable off-grid mini-grid solutions to previously abandoned communities. Access to energy in rural communities is expected to result in unlocking their economic potentials. This paper investigates the impact of a solar hybrid mini-grid on the socio-economic growth of local entrepreneurs in Gbamu Gbamu village, Nigeria. A total of 83 Micro and Small Enterprises has been surveyed, descriptive statistics, paired-sample t-test, cross-tabulation, and Chi-square test, were used to assess the performance of businesses before and after electrification. The outcomes include the number of business enterprises created, employment statistics, energy expenses and income generated. Regression analysis was conducted on the relationship between the average income generated by businesses and independent socio-economic variables such as gender, marital status, household size, age, education level, years of business establishment, hours of operation, building tenure, capital source, number of employees, generator ownership and the days of operation. </span></span></p>
Integration of prosumer peer-to-peer trading decisions into energy community modelling
<p>Peer-to-peer (P2P) exchange of renewable energy is an attractive option to empower citizens to actively participate in the energy transition. Whereas previous research has assessed P2P communities primarily from a techno-economic perspective, little is yet known about prosumer preferences for solar power trading. Importantly, the impacts of community members’ trading decisions on key performance indicators such as individual electricity bills, community autarky, and grid stress remain unknown. Here, we assess P2P trading strategies of German homeowners based on an online experimental study. We simulate how various decision-making strategies impact the performance of P2P communities. The findings suggest that community autarky is slightly higher when prosumers are enabled to trade energy compared to when they merely aim to maximize their self-consumption. Our analysis moreover shows that P2P energy trading based on human decision-making may lead to financial benefits for prosumers and traditional consumers, and reduced stress for the grid.</p>
Lacor Hospital's energy community - Power data
<p>The dataset contains power measurements of the St. Mary's hospital community, located in Gulu, Uganda. The variables available are: PV production, the total load, the back-up diesel generator production and the consumption of the sterilization machine (which are part of the total load). Measurements starts from 01/05/2022 until 25/10/2022 with a 5-minutes time-resolution.</p>
Online companion -Technical Impacts of the Deployment of Renewable Energy Community on Electricity Distribution Grids
<p>Online companion for the article "Technical Impacts of the Deployment of Renewable Energy Community on Electricity Distribution Grids".</p>
Data from: Functional traits and environmental conditions predict community isotopic niches and energy pathways across spatial scales
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Data from: Socio-economic impacts of energy access through off-grid systems in rural communities: A case study of South-West Nigeria
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Energy pathways modulate the resilience of stream invertebrate communities to drought
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Data for: Low predictability of energy balance traits and leaf temperature metrics in desert, montane, and alpine plant communities
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Step Change - CSI 3 – Energy Communities in Germany – Infographic
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Quantifying, Activating and Rewarding Flexibility for Renewable Energy Communities
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Data from: Temperature and consumer type dependencies of energy flows in natural communities
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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.