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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 ↗724 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
Decision-useful observability for inverter-dominated electricity systems: framework development and Australian applications ↗
Increasing penetration of inverter-based resources is increasing electricity-system dependence on information that extends beyond conventional physical-state observability. This study develops the Decision-Useful Observability Index (DUOI) to assess whether information is adequate for a specified planning, operational or governance decision across six dimensions: technical, data, operational, economic, consumer-risk and adaptive-governance capability. The framework is applied to six Australian electricity-sector applications using publicly available technical, planning and regulatory evidence.…
- OpenAlex · Published · First archived
Design and Performance Study of a Vibration Energy Harvesting Device Based on a Cantilever-Type Triboelectric Nanogenerator ↗
This study examines a cantilever-driven sectorial-grating sliding triboelectric nanogenerator (TENG) for vibration energy harvesting. The prototype converts cantilever motion into relative sliding of PTFE and PVC layers and modulates electrode overlap. Background: Vibration harvesting with triboelectric devices depends on mechanical motion, contact conditions and the electrical load. The response of a sectorial sliding geometry under specified motor operating conditions warrants experimental characterization. Objective: Our objective was to describe the operation of the fabricated cantilever-d…
- OpenAlex · Published · First archived
Window-to-wall ratio effects on energy and daylighting in building with dual-band electrochromic glazing across climates ↗
The window-to-wall ratio (WWR) plays a critical role in balancing building energy use and daylighting performance. However, the implications of WWR design for buildings employing dual-band electrochromic (DB-EC) glazing have not been sufficiently clarified. This study investigates the energy and daylighting performance of buildings with DB-EC glazing under different WWRs (0.2–0.8), façade orientations, and climatic conditions using EnergyPlus simulations, and compares DB-EC glazing with EC, Low-E, and double glazing. The results show that when DB-EC glazing is applied in hot-summer and warm-wi…
- OpenAlex · Published · First archived
Powering the Wearable Era: The Quest for High‐Strain Stretchable Polymer Solar Cells ↗
The rise of wearable electronics is driving demand for new forms of solar cells with both high power conversion efficiency (PCE) and high strain tolerance. However, these properties are often inherently conflicting: state‐of‐the‐art organic/polymeric photovoltaic materials often rely on rigid or highly fused conjugated backbones, yielding fracture strains below 10% in high‐efficiency systems with PCEs above 21%. This article critically examines mechanical optimization strategies for emerging high‐strain stretchable polymer solar cells (HS‐PSCs), comparing two common polymeric blend architectur…
- OpenAlex · Published · First archived
Physical Modeling and Optimal Sizing of Photovoltaic Generation Systems for Estimating Firm Energy Under Colombia’s Reliability Charge (ENFICC) ↗
Photovoltaic (PV) plants participating in reliability mechanisms require design methods that assess both energy production and performance under critical resource conditions. This paper presents a computational methodology for physical modeling and optimal sizing of grid-connected PV systems to estimate Firm Energy under Colombia’s Reliability Charge (ENFICC). The workflow integrates a ten-year NASA POWER series, component catalogs with explicit preprocessing assumptions, a sequential conversion model, and a mixed discrete–continuous genetic algorithm (GA). A computational approximation of the…
- OpenAlex · Published · First archived
A Hybrid Deterministic-Stochastic Cross-Layer Energy Model for Hierarchical Wireless Sensor Networks ↗
Accurate current-consumption estimation in IEEE 802.15.4 Wireless Sensor Networks requires linking network operation to the hardware states that determine node energy use. This paper proposes a cross-layer energy-modeling methodology that combines experimentally characterized Current Consumption Profiles (CCPs), protocol-derived state-duration models, topology-dependent workload, and a two-stage probabilistic model for retransmissions. The methodology distinguishes structurally constrained states, empirically modeled state durations, and discrete stochastic communication events. In the evaluat…
- OpenAlex · Published · First archived
Numerical Investigations of a Novel Offshore Platform Blast Wall Design Using Energy Absorption Devices at Supports ↗
Abstract Offshore blast walls are critical safety barriers designed to protect personnel and equipment from hydrocarbon explosions. Traditional designs often struggle to simultaneously satisfy code requirements for deflection limits and weld integrity under high-intensity blasts. This study proposes a novel offshore blast wall concept incorporating energy-absorbing support devices comprising PMI foam-filled sliding cores and rotational springs. The devices provide flexible support with adjustable translational and rotational stiffness, enabling controlled energy dissipation through foam crushi…
- OpenAlex · Published · First archived
Dielectric and Measurement-Domain Feature Fusion for Machine Learning-Based Broadband Microwave Sensing: Application to Ethanol Concentration Estimation ↗
This study investigates the predictive capability of different microwave-derived feature types for machine learning-based ethanol concentration estimation in water–ethanol mixtures. Eleven mixtures were prepared at 10 wt.% concentration intervals, and cyclic measurements were performed over the 2–6 GHz frequency range to construct an experimental dataset. The input variables included conventional dielectric parameters together with reflection-based measurement features. Three ensemble regression models, namely Random Forest, Extra Trees, and XGBoost, were evaluated using group-wise 5-fold cros…
- OpenAlex · Published · First archived
The Influence of Free Movement in the Opposite Direction to the Obstacle on the Dynamics and Efficiency of a Single-Sided Vibro-Impact Nonlinear Energy Sink ↗
This paper studies the effect of the movement of a single-sided vibro-impact nonlinear energy sink (SSVI NES), i.e., the vibro-impact damper, in the direction opposite to the barrier (which in this paper is called an obstacle) on its dynamics and efficiency in mitigating vibrations of the primary structure (PS) subjected to harmonic excitation. The barrier is rigidly connected to the PS. The primary structure is the heavy main construction, which must be protected from unwanted vibrations. It is a linear oscillator. The damper efficiency is assessed by the reduction in PS maximum mechanical en…
- OpenAlex · Published · First archived
Strategic scenario planning for hydrogen supply chains via graph convolutional networks: overcoming mid-stream infrastructure bottlenecks in energy transitions ↗
: Hydrogen transitions require a combination of change in policy, production, distribution, and adoption, but current scenario consistency assessment only checks for trend coherence without incorporating the role of the relationships among the stakeholders in shaping those emerging pathways. This study introduces a Graph Convolutional Network-based Scenario Planning (GCN-SP) framework that extends scenario-consistency assessment by linking actor-node engagement with emerging trends to graph-based representations of representative hydrogen scenarios. Multi-driver interaction effects are transfo…
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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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