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12 results for “battery storage”
Data and Results of eELib Simulations for the User-Based Multi-Use of Battery Storage Systems
<p>The dataset contains the configuration for the eElib models (model_data.json) and computed simulation results (.hdf5-files). The following scenarios were computed:</p> <ul> <li>ave_A_static-eq</li> <li>ave_A_static</li> <li>ave_A_dynamic_charging</li> <li>ave_A_fully_dynamic</li> <li>ave_B_static-eq_bss</li> <li>ave_B_static_bss</li> <li>ave_B_dynamic_charging_bss</li> <li>ave_B_fully_dynamic_bss</li> <li>MELANI_static</li> <li>MELANI_static_equal</li> <li>MELANI_dynamic_charging</li> <li>MELANI_fully_dynamic</li> </ul> <p><strong>Description of syntax of simulation results:</strong></p> <ul> <li>average (ave_B is half the size of the BSS of ave_A) and MELANI describe the considered multi-family house</li> <li>static/ static / dynamic_charging / fully_dynamic are the three developed operating strategies for the user-based multi-use</li> <li>static-equal: the allocation keys are equally, i.e., the PVS and BSS capabilities are equally distributed among the households of the multi-family house</li> </ul> <div> <div><strong>As part of the publication:</strong></div> <div>Henrik Wagner, Constantin von Lützow, Marcel Lüdecke, Michel Meinert, Bernd Engel "Empowering Collective Self-Consumption in Multi-Family Houses: User-Based Multi-Use of Residential Battery Storage Systems", 23rd Wind & Solar Integration Workshop 2024, Helsinki, Finland, doi: 10.1049/icp.2024.3901</div> <div> </div> <div><strong>Changelog:</strong></div> <div>v2: Added doi for WIW 2024 conference paper to improve citation possibilities</div> </div>
Dataset for "Sustainable Disposal and End-of-Life Treatment of Battery Energy Storage Systems: An Environmental and Economic Case Study"
This study investigates the environmental and economic impacts of end-of-life (EOL) treatment for a 2.8 MWh/2.5 MW battery energy storage system (BESS) based on lithium-ion batteries (LIBs). It focuses on recycling pre-treatment processes for battery systems and recycling procedures for components like cooling systems, fire extinguishing systems, inverters, and the reuse of BESS containers and substations. A life cycle assessment (LCA) was employed to evaluate key environmental impacts, including climate change, eutrophication, and resource use. The study reveals substantial environmental benefits, particularly from recovering secondary materials like aluminium and copper, with recycling pre-treatment contributing significantly to overall benefits. Additionally, the economic analysis projects profits, emphasizing the advantages of locally sourcing critical raw materials. The research highlights the need for more sustainable recycling practices and provides insights for improving environmental and economic strategies in BESS management, offering guidance for future research and policy development in battery waste processing.
The Global and National Energy Systems Techno-Economic (GNESTE) Database: Economic and performance data for battery storage in current and future electricity systems
<p><span><span>Here, we </span><span>present a</span><span> database </span><span>which collates </span><span>historical, </span><span>current</span><span>,</span><span> and future </span><span>cost and performance</span><span> data</span> <span>and </span><span>assumption</span><span>s</span> <span>for </span></span><span><span>battery energy storag</span><span>e </span><span>systems</span></span><span> <span>from</span><span> the open literature. </span></span><span><span>Battery energy storage is the fastest growing form of power system </span><span>flexibility, and</span><span> will be critical to integrating large shares of variable renewable energy.</span></span><span> <span>The data are </span><span>global in scope but with </span><span>regional and national</span> <span>specificity</span><span>, </span><span>cover</span><span>s</span><span> the years 2015 t</span><span>hrough </span><span>to 2050, </span><span>and </span><span>span</span> </span><span><span>671</span></span><span><span> datapoints from </span></span><span><span>18</span></span><span><span> sources</span><span>.</span> </span></p> <p><span><span>The database </span><span>enables modellers to select and justify</span> <span>model input data and </span><span>provides </span><span>a </span><span>benchmark for comparing assumptions and projections to </span><span>other source</span><span>s</span><span> across the </span><span>literature</span> <span>to </span><span>validate</span><span> model inputs and outputs</span><span>.</span> <span>It is designed to be easily updated with </span><span>new sources of</span><span> data, ensuring its utility</span><span>, comprehensiveness,</span><span> and broad applicability over time.</span></span><span> </span>Technoeconomic data on utility-scale batteries was collected from websites, reports, academic articles and databases of national and international organisations.</p>
GC raw data of sodium ion electrolytes before and after battery storage
<p>Raw data of the GC measurements before and after battery storage. Additionally, the pure electrolyte as well as the pure solvent (DCM, dichloromethane) is mentioned. </p>
Supplementary data: Na2.4Al0.4Mn2.6O7 anionic redox cathode material for sodium ion batteries- a combined experimental and theoretical approach to elucidate its charge storage mechanism
<p>This data repository contains the output files of density-functional theory (DFT) calculations that were used for the paper "Na2.4Al0.4Mn2.6O7 anionic redox cathode material for sodium ion batteries- a combined experimental and theoretical approach to elucidate its charge storage mechanism". </p>
Dataset for publication "Planar sodium-nickel chloride batteries with high areal capacity for sustainable energy storage"
<p><span lang="EN-US">High-temperature ZEBRA battery; sodium-metal halide battery; molten-salt battery; stationary energy storage; alkali metal anode.</span></p> <p>Data used to create Figures 1-4 in the above manuscript.</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>
Optimisation of size and operation of stand-alone renewable-based systems with diesel and hybrid PHS-battery storage considering uncertainties
<p>Results of the optimal system found by the stochastic optimisation</p>
Techno-Economic Analysis of Battery Electricity Storage Towards Self-Sufficient Buildings.
<p>These data represent the energy demand of a building designed following the “Directive of the European Parliament on the energy performance of building” (2010/31/EU ) and that meets the “Casaclima” energy certificate. It belongs to the CasaClima A energy class (Class A for what concerns the envelope efficiency, Gold Class for what concerns the overall energy efficiency).</p> <p>Hourly electrical and thermal consumption are presented for a year for 5 different climatic conditions according to the IEA classification.</p> <p>Consumption has been modeled through Energy Plus and validated against measured data. Please refer to <a href="https://doi.org/10.1016/j.enconman.2022.115313">https://doi.org/10.1016/j.enconman.2022.115313</a> for the methodology description.</p> <p>Pleas acknowledge <a href="https://doi.org/10.1016/j.enconman.2022.115313">https://doi.org/10.1016/j.enconman.2022.115313</a> when using the data set.</p>
Simulation results of the grid-serving multi-use of residential battery storage systems for prosumers
<p><strong>Simulation results</strong> supporting the findings of the study "(<strong>Extended</strong>) <strong>Technical and Legal Analysis of the Grid-Serving Multi-Use of Battery Storage Systems for Prosumers</strong>". The data contains the three analysed use cases: <em>Reference_SCI</em> for the single-use of the residential BSS, <em>multi-use_SCI_PS</em> for the multi-use of self-consumption increase and peak shaving, <em>multi-use_SCI_ASm</em> for the multi-use of self-consumption increase and ancillary services.</p> <p>The authors of the study are: Henrik Wagner, Marcel Lüdecke, Alexandra Scheunert, Carsten Wegkamp, Bernd Engel and Hartmut Weyer</p>
Redox flow batteries for renewable energy storage (Video)
<p>Lecture: <strong>Redox flow batteries for renewable energy storage</strong></p> <p><em>International Summer School on Energy Storage Systems: New Developments and Directions</em></p> <p>Zaragoza, 18-20 July 2022</p> <p><a href="https://www.youtube.com/watch?v=gzY5RrliPLY">https://www.youtube.com/watch?v=gzY5RrliPLY</a></p>
Data in experimental stand-alone microgrid: solar production, domestic loads, battery storage and meteorological series.
<p>At the centre of Reunion Island, a region denoted « Mafate » is non-connected to the main electrical grid. Presented data come from an experimental local microgrid between 3 homes at the place called « Roche Plate », where electrical production is obtained by photovoltaic panels and storage by batteries.</p>
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International Brain Laboratory public data
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OpenNeuro
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