2014 IEEE International Energy Conference (ENERGYCON) 2014
DOI: 10.1109/energycon.2014.6850596
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Database development and evaluation for techno-economic assessments of electrochemical energy storage systems

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Cited by 19 publications
(13 citation statements)
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“…This allows comparing also different LIB technologies for the given applications.T he battery performancep arameters (cycle and calendar life,c harge/discharge efficiency) for all batteries are derivedf rom the Batt-DB,adatabase containing up-to date techno-economic data from industry,l iterature,a nd scientific reports for all types of secondary batteries. [16,17] Thed esired operation period for the entire energy storage system is assumed to be 20 years for all applications. [18,19] Due to the high amounto fd atasets contained in the Batt-DB( > 5000 data points), ranges can be obtained for the key parameters as basis for aM onte-Carlo simulation.…”
Section: Techno-economicinputsmentioning
confidence: 99%
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“…This allows comparing also different LIB technologies for the given applications.T he battery performancep arameters (cycle and calendar life,c harge/discharge efficiency) for all batteries are derivedf rom the Batt-DB,adatabase containing up-to date techno-economic data from industry,l iterature,a nd scientific reports for all types of secondary batteries. [16,17] Thed esired operation period for the entire energy storage system is assumed to be 20 years for all applications. [18,19] Due to the high amounto fd atasets contained in the Batt-DB( > 5000 data points), ranges can be obtained for the key parameters as basis for aM onte-Carlo simulation.…”
Section: Techno-economicinputsmentioning
confidence: 99%
“…* Increase of photovoltaics self-consumption (PVSC): Energy storage is used by end-use customers to reduce Table 1. Key performance parameters of the assessed batteries using upper quartiles (75 q), median, and lower quartile (25 q) values based on available recent literature and industry data sources from the Batt-DB [7,16,17] using the mostr ecent (complete) datasets as indicated in the secondr ow fore acht echnology. their electricity bill by storing the energy produced by their own rooftopP Vinstallation during daytime.…”
Section: Selection Of Battery Application Field and Characterizationmentioning
confidence: 99%
“…To select the value of the operational DOD of batteries, the life cycle vs. DOD curve of the LABs from the e-rickshaw battery manufacturer and literature were studied. It was found that at 60% DOD; the batteries offer around 1700 cycles, which can be translated into 4 years and 240 days considering one cycle per day [53,54].…”
Section: Battery Dod and Capacity Selectionmentioning
confidence: 99%
“…The final data processing and visualisation is done in an Excel-based tool using VBA programming. The outputs obtained at this phase correspond to the final energy balance and PV production, from which the SC and SS percentages are computed through the following equations: considering, in addition to the selection (B), a battery as a storage system, sized for a 1-day of autonomy using standard values for lithium-ion battery with an approximated 5000 cycles (charge-discharge) of lifespan, considering a depth of discharge (DOD) of 90% and a battery efficiency of 80% (round-trip efficiency) [76][77][78]. In all cases, the results are presented for both HVAC systems scenarios, OIL -maintaining the existing oil-boiler or HP -replacing it by an electric heat-pump system.…”
Section: Output and Data Processing And Visualisationmentioning
confidence: 99%