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- Data for: Comparative life cycle assessment of lithium-ion battery chemistries for residential storageSupplementary material for "Comparative life cycle assessment of lithium-ion battery chemistries for residential storage".
- Data for: The development of stationary battery storage systems in Germany – Status 2020The 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".
- Data for: Analysis and modeling of calendar aging of a commercial LiFePO4/graphite cellThis data is from a comprehensive calendar aging study on a lithium-ion battery with a test duration of 29 months: Naumann, M. et al.; Analysis and modeling of calendar aging of a commercial LiFePO4/graphite cell; Journal of Power Sources (2020), Volume 451; DOI: 10.1016/j.jpowsour.2019.227666 This aging study was realized with a widely used commercial LiFePO4/graphite cell from Sony/Murata, which promises both long calendar and cycle lifetime, which is especially required for stationary battery applications. The development of the cells’ capacity, as well as the resistances, are shown in a static calendar aging study for 17 test points, each with 3 cells, having constant storage conditions of temperature and state of charge. Based on the measurement data, a semi-empirical aging model is presented for the capacity loss and resistance increase, consisting of only 5 parameters which are valid for all storage conditions. Due to limited space, only a selection of the 17 test points of the calendar aging study are evaluated in the paper. However, this dataset represents the data for evaluation of all 17 test points. The data is grouped into four files representing the different issues of evaluation as given in the section 'Experimental' in the paper.
- Data for: Synchronous estimation of state of health and remaining useful lifetime for lithium-ion battery using the incremental capacity and artificial neural networksNASA lithium battery dataset
- Data for: Deamands on energy storage for renewable power sourcesThe caclucation and estimation of shinny days.
- Data for: Monolithically integrated electrochemical energy storage modules Experimental data, charge discharge curves
- Data for: Preparation, thermal characterization and examination of phase change materials (PCMs) enhanced by carbon-based nanoparticles for solar thermal energy storageThis data file contains the processed material property data of three nano-enhanced phase change materials, including graphene nanoplatelets (GNPs)/myristic acid (MA), multi-walled carbon nanotubes (MWCNTs)/MA and nano-graphite (NG)/MA composites.
- Data for: Optimal design and operation of PV-battery systems considering the interdependency of heat pumpsElectricity load, heat load, PV generation data in hourly time series for a building at the University of Manchester.
- Data for: Techno-Economic Assessment of Energy Storage Systems using Annualized Life Cycle Cost of Storage (LCCOS) and Levelized Cost of Energy (LCOE) MetricsThe study presents an adaptive ES cost model that considers long-term, medium-term, and short-term ES applications, technologies and technical characteristics in a financial framework supported by in-market insight, including the capital costs of the technologies; operation and maintenance costs; replacement costs during the lifetime of the system; and disposal and recycling costs, based on the current ES costs from recently published studies, as the ES costs have changed rapidly in the past few years. The data set is the Matlab code of the formulated cost model.
- Data for: Deamands on energy storage for renewable power sourcesMeasuring of sunshine hours in different months.
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