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Earlier sources: Battery Storage
This energy thread follows battery storage through original research, public projects, and source reports. Read the evidence below to see which developments are represented in SYMTRI’s archive.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗146 classified signals in the fourteen-day window. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- OpenAlex · Published · First archived
Open-system thermal characterization of NH2-MIL-125(Ti)/salt composites (CaCl2, SrBr2) for solar-driven low-temperature sorption heat storage ↗
Sorption heat storage allows solar thermal energy to be stored for weeks or months with negligible losses, making it a promising route to decarbonize space heating in buildings, yet most sorbent data are acquired under closed-system conditions that poorly represent the open, atmospheric-pressure operation of solar-driven building-scale stores. Here, we report the thermal characterization, under open-system boundary conditions (T des = 80 °C, T ads = 20 °C, p ads = 11.6 mbar), of the amino-functionalized titanium framework NH 2 -MIL-125(Ti) and of two composites, namely, NH 2 -MIL-125(Ti)+45 wt…
- OpenAlex · Published · First archived
Tracking lithium-ion battery degradation with robust voltage–capacity signatures ↗
The diagnostic and prognostic battery models are increasingly demanded by industry to extend battery lifetime, enhance control strategies, support second-life design, and meet emerging regulatory requirements such as battery passports. These models must be flexible in coping with practical challenges of real-world data, including frequent incomplete charge-discharge cycles, cycling at moderate-to-high C-rates, and overall data sparsity throughout the battery's lifetime. Here, we propose a feature-extraction method capable of deriving informative features from charge and discharge profiles with…
- OpenAlex · Published · First archived
Consistent dilatancy-based constitutive model of rock salt for geo-energy storage applications: An open-source numerical implementation ↗
Accurate numerical simulation of salt cavern performance in underground geo-energy storage of hydrogen, natural gas, compressed air, and CO 2 requires the integration of precise design criteria into a rigorous mechanical constitutive framework. This framework should be consistent with the design criteria, describing all mechanical loading (either short or long-term) deformations with a single parameter set. Due to methodological disconnects between the experimental derivation of design criteria and constitutive laws, only a limited number of consistent constitutive models exist in the literatu…
- OpenAlex · Published · First archived
Low-cost neutral pH viologen-TEMPO based aqueous organic redox flow battery: The critical role of electrolyte formulation on stability and efficiency ↗
Redox flow batteries based on aqueous organic electrolytes emerge as strong competitors to traditional systems. Despite significant efforts to develop new active materials, finding a stable, cost-effective catholyte with high redox potential remains challenging. This work presents a neutral pH Aqueous Organic Redox Flow Battery employing 4-sulfate-2,2,6,6-tetramethylpiperidin-N-oxyl (TEMPO-SO 4 K) as catholyte and 1,1′-bis(3-sulfonatopropyl)-4,4′-bipyridinium ((SPr) 2 V) as anolyte, achieving a high cell voltage of 1.25 V. The key scientific contribution of this work is the rational design of…
- OpenAlex · Published · First archived
SCARO: Scenario-Conditioned Risk Optimization for Day-Ahead Battery Energy Storage Scheduling ↗
Day-ahead battery arbitrage requires assessing the return and downside risk of complete charge–discharge cycles. We propose Scenario-Conditioned Risk Optimization (SCARO), which corrects supply and demand forecasts and maps jointly resampled whole-day residuals to price paths. An exact planner identifies adverse outcomes separately for each feasible schedule and combines mean and lower-tail profit to select an operating cycle or no operation. A 182-day rolling evaluation in the Western Inner Mongolia real-time electricity market compares SCARO with 21 baselines for a battery with zero initial…
- OpenAlex · Published · First archived
Cyclic Nanoindentation of Clay Minerals: Micromechanical Insights Into Caprock Integrity for Subsurface Energy Storage ↗
Abstract Clay minerals are key constituents of subsurface caprocks and play a critical role in the long-term containment performance of underground energy storage systems. However, their cyclic mechanical response remains insufficiently understood, despite repeated pressure fluctuations being inherent to subsurface energy operations. This study investigates the cyclic nanoindentation response of four representative clay minerals, including ripidolite, illite, illite–smectite, and beidellite, using constant, progressive, and degressive loading protocols. Load–displacement behavior, indentation…
- OpenAlex · Published · First archived
A two-layer degradation-aware energy management framework for renewable power grids with battery and hydrogen storage ↗
High renewable energy penetration supports sustainable power generation; however, intermittency, component aging, and long-term performance uncertainty may pose operational challenges for power systems. This study proposes a degradation-aware, two-layer framework that jointly evaluates short-term system operation and long-term component performance. In the first layer, the Tunicate Swarm Algorithm (TSA) determines system capacities and energy-sharing parameters for a 24-h period. An objective function includes operating costs, emissions costs, BESS costs, hydrogen system costs, demand response…
- OpenAlex · Published · First archived
Modeling and hierarchical energy storage dispatch control of a pulverized coal buffer unit for flexible operation of coal-fired power plants ↗
With the increasing integration of renewable energy, coal-fired power units require higher operational flexibility. However, the delays caused by raw coal grinding and pulverized coal transport in conventional direct fired pulverizing systems limit rapid load response. To address this issue, this study proposes a pulverizing system equipped with a pulverized coal buffer unit, which extends the fuel supply mode from a single direct fired mode to a combined direct fired and storage based mode, thereby reducing fuel supply delay and improving operational flexibility. A nonlinear dynamic model of…
- OpenAlex · Published · First archived
Nanofluid-enhanced ice thermal energy storage: experimental performance, parametric effects, and a predictive correlation ↗
Ice thermal energy storage (ITES) systems offer an effective means of shifting peak cooling loads to off-peak periods, but their performance depends strongly on the thermophysical properties of the phase change material (PCM) and on key operating and geometric parameters. This study presents a systematic experimental investigation of the external icing and cold energy storage performance of Al 2 O 3 and multi-walled carbon nanotube (MWCNT) nanofluids as PCMs in a U-tube cold thermal energy storage unit. Nine primary conditions were examined across three coolant inlet temperatures (−5.5, −7.5,…
- OpenAlex · Published · First archived
Lithium-ion battery degradation mode quantification for 2nd life using half-cell data and machine learning techniques ↗
The reactions inside lithium-ion batteries make it complex to quantify the aging behavior, especially those to be used in second-life applications. The hidden mechanisms can suddenly overturn the observable aging mechanism, generating a sudden decrease in the battery performance rate. In this context, this study presents a machine learning model that observes the hidden aging mechanisms of lithium-ion batteries. To do so, anode- and cathode-level data have been obtained to artificially generate several aging paths defined by the loss of lithium inventory, loss of active material, and increment…
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How to assess evidence about Battery Storage
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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