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Earlier sources: Energy
Energy research and engineering concern how power is produced, stored, delivered, and consumed. Follow solar and nuclear power, fusion, geothermal systems, batteries, electricity grids, and changing power demand.
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 ↗717 classified signals in the fourteen-day window. Recent momentum: steady. 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
Neutral current redistribution and differentiated dc bias protection of multiple main transformers in one substation via a refined metro–grid coupling model ↗
Significant differences in neutral currents exist among different grounded main transformers within the same substation. Simplifying the substation as a single conductor fails to resolve the internal distribution of metro-induced stray current, thereby masking potential DC bias risks. To prevent such failures, a refined metro–power system coupling model that considers multiple main transformers is established using actual parameters of the metro system, power grid, and local soil. The model accurately calculates neutral current of different interconnected transformers, enabling early identific…
- OpenAlex · Published · First archived
Can small modular reactors clear the cost screen for Greek noninterconnected islands: A benchmark screening assessment against oil based supply with illustrative renewable storage evidence ↗
Greek noninterconnected islands remain economically distinctive because several still depend on autonomous oil based generation while facing pressure to decarbonize through renewables, storage, and interconnections. This article addresses a limited screening question. Do small modular reactors (SMRs) sit above or below the regulator documented cost of continued autonomous island supply, and how should that result be positioned against alternative decarbonization pathways. Using Greek regulatory data, peer reviewed SMR cost anchors, and an eighteen scenario levelized cost of electricity (LCOE)…
- OpenAlex · Published · First archived
Coordinated planning of hydrogen refuelling stations and distribution networks considering two-phase hydrogen storage and carbon emission flow ↗
Hydrogen refuelling stations (HRSs) are essential infrastructure for hydrogen-powered transportation. However, their planning faces coupled challenges arising from high-pressure hydrogen storage risks and the indirect carbon emissions caused by grid-connected electrolysis. To this end, this paper proposes a coordinated planning model for HRSs and distribution networks (DNs) considering gas-solid two-phase hydrogen storage and carbon emission flow. First, the explosion energy of hydrogen storage tanks is quantified by leveraging the TNT equivalent approach, and storage-safety constraints are es…
- OpenAlex · Published · First archived
Proportional-integral adaptive relaxed-set robust model predictive control for range-extender energy management in extended-range electric vehicles ↗
Extended-range electric vehicles pair a battery-electric drivetrain with a range-extending engine-generator whose dispatch strategy governs fuel economy and engine-cycling behavior. Fixed-parameter and nominal predictive strategies perform well near their tuning point but degrade under sensor noise or parameter variation, a gap existing approaches leave unaddressed. This work proposes a Proportional-Integral Adaptive Relaxed-Set robust model predictive controller, PI-ARS-MPC, coupling a reduced-order prediction model with a bounded receding-horizon search, an online proportional-integral-adapt…
- OpenAlex · Published · First archived
Eco-friendly anodic exfoliation of graphite via a dual-salt electrolyte for high-loading and fast-charging lithium-ion battery anodes ↗
Sustainable mass production of high-quality graphene is essential for its use as a conductive additive in high-power energy storage systems, as conventional synthesis often causes structural damage and environmental toxicity. Here, we report an eco-friendly anodic electrochemical exfoliation strategy using a dual-salt aqueous electrolyte of NaCl and NaClO 4 . This synergistic approach exploits the small hydrated radius of chloride ions (Cl − ) for initial channel opening and the strong expansion effect of perchlorate ions (ClO 4 − ) for rapid delamination, preserving the carbon lattice integri…
- OpenAlex · Published · First archived
A Gas–Solid Two-Phase Mechanistic Model for Predicting the Minimum Ignition Energy of Explosive Dust Clouds ↗
Minimum ignition energy (MIE) is a key parameter for characterizing the ignition sensitivity and explosion hazard of explosive dust clouds, yet its experimental determination is hazardous and mechanistic prediction remains limited. In this study, a gas–solid two-phase mechanistic model is developed for the numerical prediction of MIE in explosive dust clouds. The model accounts for the key processes governing threshold ignition, including radiation–particle interaction, solid-phase pyrolysis, accumulation of combustible intermediates and reaction activity, and the resulting gas-phase heat rele…
- OpenAlex · Published · First archived
Laser-driven high-speed processing of perovskite solar cells: Emerging technologies and challenges ↗
Laser processing, as a non-contact, precise, and scalable technique, is playing an increasingly key role in advancing the fabrication of perovskite solar cells (PSCs). This review provides a critical, systematic overview of emerging laser technologies for PSCs, moving beyond simple cataloging of advances. This review covers laser-induced crystallization and defect passivation of the perovskite layer, laser annealing and modification of charge transport layers, and transparent electrodes. Crucially, we synthesize comparative data across studies, highlight contradictions and consensus in the fie…
- OpenAlex · Published · First archived
Quasi-high-entropy alloy CoNiCuMnCd/NC directly derived from ZIF-type MOFs as counter electrode catalysts for dye-sensitized solar cells ↗
High-entropy alloys (HEAs) as counter electrode (CE) catalysts can promote the power conversion efficiency (PCE) of dye-sensitized solar cells (DSSCs), due to their intrinsic characteristics of the high configurational entropy, lattice distortion, delayed diffusion and cocktail effects. Herein, five transition metal (Co, Ni, Cu, Mn and Cd) ions were combined with 2-methylimidazole to assemble ZIF-type metal-organic frameworks (MOFs) as sacrificial precursors. Then, the four transition metal alloy/N-doped carbon (NC) catalysts (CoNi/NC, CoNiCu/NC, CoNiCuMn/NC, and CoNiCuMnCd/NC) were derived re…
- OpenAlex · Published · First archived
Thermo-vibrational fusion for early-stage ball bearing fault diagnosis: a multi-modal machine learning framework ↗
Abstract Rolling bearing failures account for 40–50% of rotating machinery breakdowns, but the complementary diagnostic potential of thermal sensing remains underutilized. This study presents a thermo-vibrational fusion framework for early-stage ball bearing fault diagnosis using the KAIST run-to-failure dataset (128 h, NSK 6205 bearing). A 40-dimensional feature vector comprising FFT-based spectral features at the bearing defect frequencies (BPFO, BPFI, BSF), sub-band energy ratios, spectral entropy, and six time-domain statistical descriptors across all four sensor channels is extracted. Thr…
- OpenAlex · Published · First archived
Optimized CNN–BiGRU–BiLSTM Architecture with Variational Mode Decomposition and Attention Mechanism for Electricity Price Forecasting ↗
Abstract With the advent of deregulation in electricity markets, price forecasting has become an important task for generation and retail companies to enhance economic efficiency and market competitiveness. Traditional statistical models are widely employed, but they struggle to learn the volatile and complex characteristics of electricity prices, which are further complicated by integration of renewable energy sources and fluctuations in demand. To address these issues, deep learning methods have gained attention due to their unique ability to effectively learn temporal and spatial dependenci…
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Energy
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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