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87 results for “Energy Storage”
Dataset for the paper "Electrochemical and Spectroscopic Characterisation of Organic Molecules with High Positive Redox Potentials for Energy Storage in Aqueous Flow Cells", DOI:10.1039/d4ya00366g
<table> <tbody> <tr> <td>The data in this spreadsheet was used to produce the figures in the paper</td> </tr> <tr> <td>Authors:</td> <td>Christopher G. Cannon, Peter A. A. Klusener, Nigel P. Brandon, and Anthony R. J. Kucernak</td> </tr> <tr> <td>Title:</td> <td>Electrochemical and Spectroscopic Characterisation of Organic Molecules with High Positive Redox Potentials for Energy Storage in Aqueous Flow Cells</td> </tr> <tr> <td>Journal:</td> <td>Energy Advances</td> </tr> <tr> <td>DOI:</td> <td>DOI:10.1039/d4ya00366g</td> </tr> <tr> <td>Please cite the above reference if you wish to use this data</td> </tr> <tr> <td> </td> <td> </td> </tr> <tr> <td>DOI of data:</td> <td><span>10.5281/zenodo.13712672</span></td> </tr> </tbody> </table>
Figure 2 in What do frog calls tell us about males? The advertisement call of Physalaemus albifrons (Amphibia: Leptodactylidae) in the Brazilian semiarid region does not reflect either gonadal investment or energy storage
Figure 2. On the left, testis (solid arrow) and fat bodies (dashed arrow) of Physalaemus albifrons (CHSA. A 140). On the right, spectrogram (top) and oscillogram (bottom) of the typical harmonic note of the advertisement call of Physalaemus albifrons (CASA 241).
Figure 1 in What do frog calls tell us about males? The advertisement call of Physalaemus albifrons (Amphibia: Leptodactylidae) in the Brazilian semiarid region does not reflect either gonadal investment or energy storage
Figure 1. Male of Physalaemus albifrons calling in a temporary pond in the Brazilian semiarid region. Photograph: Milena Wachlevski.
Variable energy storage and growth in the sea star Pisaster ochraceus
<p>The complete data set describes environmentally based variation in size-specific energy storage (dry mass pyloric caeca/dry body mass) and growth of live mass of the intertidal sea star <em>Pisaster ochraceus </em>in British Columbia, Canada. Variation in energy storage and live mass correspond to (1) naturally occurring or (2) experimentally induced changes in the zonation of their prey, the sea mussel <em>Mytilus californianus</em> and associated species. The relevant features of mussel zonation are the depth (vertical distance from a fixed tidal datum) of the lower boundary and the species/size composition of the lower boundary. Downward extensions of the boundaries comprised of masses of relatively young mussels incurred the greatest increases in energy storage and live mass.</p> <p>Data are presented in 4 files:</p> <p>(1) <em>Energy storage - Observational study</em>. Variation in energy storage at three sites sampled at irregular intervals from 2008 to 2014. Variables include live mass, dry mass of viscera, and dry mass of the remainder of the body of individual <em>Pisaster ochraceus</em>. Sample dates were chosen to represent natural inter-annual variation in mussel zonation, rather than tracking continuous time courses. </p> <p>(2) <em>Storage-boundary depth relationships</em>. Variables derived from observational study and include summary measures of energy storage (slope of the linear regression of dry viscera mass to dry body mass, for dry body masses< 120 g); boundary depth (vertical distance from tidal datum); and the qualitative composition of the lower boundary.</p> <p>(3) <em>Energy storage and live mass - Experimental study</em>. Records were made after 1-3 years of experimental manipulation of the mussel boundaries on experimental sites. Variables include initial live mass, final live mass, dry mass of viscera, and dry mass of the remainder of the body of individual <em>Pisaster ochraceus</em> recaptured in the three large-scale replicates of the translocation experiment. </p> <p>(4) <em>Boundary depth - Experimental study</em>. Variables include the type of boundary manipulation, the change in boundary shore levels with respect to conventional tidal data, the resulting composition of the lower boundary, and years of manipulation. </p> <p>Further information on-site locations, methods of data acquisition, and definitions of the variables appear in Methods and Usage Notes below.</p>
Supplementary files to the paper "Optimal Offering of Energy Storage in Electricity Markets with Loop Blocks"
<p>These files include the retrieved optimal offering decisions, corresponding to the case studies of Section IV.C of the paper Optimal Offering of Energy Storage in Electricity Markets with Loop Blocks. A README.txt file is included, describing the format of all other files.</p>
Energy storage [section 1.2]
<p>Battery performance and durability sizing tool</p>
Supplementary material to "Energy-oriented crane scheduling in a steel coil storage"
<p><strong>Benchmark instances for the energy-oriented crane scheduling problem in steel coil storages</strong></p> <p><em>This file describes the structure and content of the accompanying data of the benchmark instances of the paper "Energy-oriented crane scheduling in a steel coil storage". The instances intend to assist future research efforts in the domain of crane scheduling in steel coil storage.</em></p>
Data set for Dynamic Service Restoration of Distribution Networks with Volt-Var Devices, Distributed Energy Resources, and Energy Storage Systems
<p>Data for three power distribution systems are presented in this document. The first system consists of 53 nodes and 61 branches. The second is composed of 217 nodes and 219 branches. Finally, the third system consists of 404 nodes and 430 branches. Both distribution systems offer extensive applications in problems related to multi-time service restoration, Volt/Var devices, and distributed energy resource operation.</p>
Data from: Experimentally decoupling reproductive investment from energy storage to test the functional basis of a life-history tradeoff
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Variable energy storage and growth in the sea star Pisaster ochraceus
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Data from: Energy storage and fecundity explain deviations from ecological stoichiometry predictions under global warming and size-selective predation
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Data for the paper: Increasing the flexibility and feasibility of CSP by the addition of a low temperature energy storage system
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Data for cluster generation for paper "Energy Storage Profit Risk under Stochastic Fuel Prices"
<p>This is a supplementary data for reproducibility. </p>
TemoaProject: Energy Storage Options for North Carolina
<p>This zenodo archive includes the Temoa code and data used to produce <a href="https://energy.ncsu.edu/storage/wp-content/uploads/sites/2/2018/12/NC-Storage-Study-FINAL.pdf">Energy Storage Options for North Carolina</a>. Temoa was used to evaluate the use of storage for bulk energy time shifting and peak capacity deferral, as described in Section 6.5.</p> <p>The data files are split into the capacity expansion and operational versions of the data. To begin, the capacity expansion runs are conducted to estimate the 2030 electricity generation mix in North Carolina. The optimal installed capacity is then fixed in the operational model, and the operational model is run to determine how storage with a fixed installed capacity and duration affects the objective function value. The change in objective function value, corresponding to the change in total system cost, is used to assess the net benefit associated with using storage for bulk energy time shifting and peak capacity deferral. (See report for more details.)</p> <p>The primary difference between the capacity expansion and operational versions of the model are the number of time slices. In the capacity expansion model, electricity supply and demand is balanced over a representative 24-hour period for each of the four seasons, for a total of 96 time slices per year. The operational model includes 8760 time slices per year, thereby representing every hour of the year, which allows us to better capture the value of storage.</p> <p>In terms of workflow, the capacity expansion runs were conducted with an input sqlite database file. Here we include the raw text-based sql file. It can be converted to a binary sqlite database file with the freely available sqlite program: https://www.sqlite.org. The results from the capacity expansion runs were automatically stored in the output tables associated with the same sqlite database. To run the operational version, capacity results are extracted from the capacity expansion sqlite file, and added to an input DAT file. These input DAT files are text-based files located in the scenario-specific folders for the operational runs. (Note that Temoa can run with either a sqlite or DAT file specified as input.)</p> <p>Each scenario folder for both the capacity expansion and operational runs also contain the config file used to run the model. Each model run was executed from the command line with the following syntax:</p> <p>$ python temoa_model/ --config=temoa_model/<config_file_name></p> <p>Note that the specific instance of the Temoa source code we ran corresponds to git commit hash 06edf7b883cee44ebd1129803f2145687c46bea0.<br> We verified the model code works with Pyomo versions 5.3 and 5.5.</p>
Betaine–based natural deep eutectic solvents as sustainable electrolytes for the electrochemical energy storage devices
<p><span>The research project titled: <em>"</em></span><span><em><span>Betaine–based natural deep eutectic solvents as sustainable electrolytes for the electrochemical energy storage devices</span></em></span><em><span>"</span></em><span> focused on developing new, environmentally friendly liquid electrolytes for use in devices such as batteries, accumulators, and capacitors. The researchers concentrated on the development of so-called Natural Deep Eutectic Solvents (NADES) based on betaine and its derivatives, which have the potential to replace traditional, less eco-friendly electrolytes.</span></p> <p><span>Betaine is a natural chemical compound in plants like sugar beets, making it a fully renewable resource. Chemically, betaine is a derivative of the amino acid glycine, meaning it possesses a positive functional group at one end of the molecule and a negative charge at the opposite end. This gives betaine the characteristics of an ionic compound known as a zwitterion, which can be successfully used as <span>an electrolyte additive.</span></span></p> <p><span><span>During the </span>research, three different NADESs were synthesized, and betaine hydrochloride served as the hydrogen bond acceptor (HBA). At the same time, glycerol, ethylene glycol, and glycolic acid acted as hydrogen bond donors (HBD). The researchers then examined their physical properties, such as density, viscosity, pH, and conductivity, and assessed these substances' electrochemical stability.</span></p> <p><span>Among the studied NADES, the one based on betaine hydrochloride as the HBA and ethylene glycol as the HBD proved to be the most suitable electrolyte for supercapacitors due to its low viscosity and high ionic conductivity. Tests involving this substance demonstrated that devices using this electrolyte exhibited high specific capacitance and stability during prolonged use.</span></p> <p><span>The results confirm that NADES based on betaine can serve as a more sustainable alternative to conventional electrolytes, which is a step toward creating more environmentally friendly energy storage systems in the future.</span></p> <p><span>This research was founded on the whole by the National Science Centre, Poland (grant No. 2023/07/X/ST5/00629). For the purpose of Open Access, the author has applied a CC-BY public copyright to any Author Accepted Manuscript (AAM) version arising from this submission.</span></p>
Transcription of Physical Properties Data Compilations Relevant to Energy Storage: I. Molten Salts: Eutectic Data
<p>Transcription of Physical Properties Data Compilations Relevant to Energy Storage: I. Molten Salts: Eutectic Data. This is a large dataset of eutectic mixtures originally compiled and published in 1978. There was not previously a machine-readable version of this dataset. We have transcribed the 2-component mixtures into csv format. We have also included 6 basic features that are widely available on Pubchem for the individual components in the mixtures, and a list of components that were not available via Pubchem.</p>
Ion Intercalation in Lanthanum Strontium Ferrite for Aqueous Electrochemical Energy Storage Devices
<p>Dataset for the article: Tang et al. <em>ACS Appl. Mater. Interfaces</em> 2022, 14, 16, 18486–18497.</p> <p>The dataset contains:</p> <ul> <li>"CV": Cycle Voltammetry of La0.5Sr0.5FeO3-δ thin films in 0.1 M KOH solution (scan rate 0.5 mV/s)..</li> <li>"Defect Model Fitting": Equilibrium concentration of oxygen vacancies, protons (OH<sup>.</sup>), Fe<sup>4+</sup> calculated by the defect chemistry model in LSF50 as a function of the electrochemical potential applied in the solution.</li> <li>"ex-situ_optical conductivity N2 reduced and post K": Optical conductivity vs photon energy measured in a sample reduced in N2 and the same sample after a post oxidation in KOH.</li> <li>"in situ_differential charge.rar" Differential charge measured by ellipsometry and electrochemical current during the in-situ experiments</li> <li>"in situ_optical conductivity.rar": Optical conductivity of LSF thin films vs photon energy measured after the application of the different potentials in the in-situ experiments. Potential applied are reported in the name of the txt files.</li> <li>"in-situ-exp_Optical conductivity and Fe4+ vs E app": Evolution of the optical conductivity at 2eV and calculated Fe4+ concentration vs equilibrium electrochemical potential applied in the in-situ experiments.</li> <li>"in-situ-exp_time-potential-current.txt" Current measured in the in-situ experiments after the application of electrochemical potentials as a function of time.</li> <li>"optical conductivity ex situ.rar" Ex-situ optical conductivity spectra of LSF thin films oxidized and reduced in different enviroments (N2, O2 and electrochemically in KOH).</li> <li>"PALS.rar" Average lifetime of positrons measured in Positron Annihilation Lifetime Spectroscopy for the LSF thin films oxidized and reduced in different enviroments (N2, O2 and electrochemically in KOH).</li> <li>"SIMS_Oh- and H- intensity.txt" ToF-SIMS depth profiles of H- and OH- ions intensities for the KOH-reduced sample vs sputtering time.</li> <li>"VE-PALS.rar" First, second and third component of the positron lifetime, errors and relative intensities measured by Variable Energy Positron Annihilation Lifetime Spectroscopy for the LSF thin films oxidized and reduced in different enviroments (N2, O2 and electrochemically in KOH).</li> <li>"XRD.rar" X-Ray Diffraction patterns of the LSF thin films oxidized and reduced in different enviroments (N2, O2 and electrochemically in KOH).</li> </ul>
Data from: Coping with the cold: energy storage strategies for surviving winter in freshwater fish
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Constitutive differences in immune gene expression and energy storage phenotypes co-vary with winter environment in wood frogs
GEO Series GSE266397. Lithobates sylvaticus. 96 samples. Type: Expression profiling by high throughput sequencing.
California grid electrical energy storage requirements for select renewables integration and fleet electrification scenarios
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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.