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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 ↗733 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
Energy-Dependent Response and Multiscale Damage of Hybrid Unidirectional-Tape/Woven-Fabric Composite Laminates Under Low-Velocity Impact: Experimental Characterization and Numerical Analysis ↗
Despite growing interest in hybrid unidirectional-tape/woven-fabric (UD/WF) composite laminates, the relationship between impact energy, macroscopic response, and multiscale damage evolution under low-velocity impact remains insufficiently understood. To address this issue, hybrid UD/WF composite laminates were investigated under low-velocity impacts of 10, 17, and 25 J through experiments and numerical simulations. Phased-array ultrasonic testing, micro-computed tomography (μCT), and cross-sectional microscopy were used to characterize multiscale damage, while a continuum-damage-mechanics-bas…
- OpenAlex · Published · First archived
Roof–Facade Photovoltaic and Battery Planning in Energy Communities Under Uncertainty ↗
Energy-community planning depends on when photovoltaic (PV) electricity is generated, not only on annual production. This study combines one year of 15 min demand from 20 metering profiles with 8 simulated roof and facade PV profiles. Hourly direct-current profiles were scaled to reported annual alternating-current yields to obtain AC-equivalent profiles. Chronological battery simulation was used to evaluate 32,472 comparison records under equal installed capacity and equal annual generation. At equal capacity, facade substitution reduced export but could lower demand coverage because annual g…
- OpenAlex · Published · First archived
Sustainability trade-offs in sludge-to-energy systems: a process-resolved assessment of thermal hydrolysis pre-treatment ↗
Thermal hydrolysis pre-treatment (THP) is increasingly integrated into sludge-to-energy systems to enhance energy recovery, yet its environmental performance remains uncertain because most life cycle assessments (LCAs) treat these systems as aggregated units, limiting the representation of process-level interactions and environmental trade-offs. This study evaluates THP at 60, 80, and 120 °C in a sludge-to-energy system by propagating experimentally derived process changes through an integrated framework that combines process modelling, LCA, and techno-economic analysis. THP at 120 °C improved…
- OpenAlex · Published · First archived
Stored-Energy-Based Operation Rules for Cascaded Hydropower to Support High-Renewable Integration ↗
High wind and photovoltaic (PV) penetration reshapes intra-annual residual energy demand and changes hydropower generation space and operating patterns. Conventional medium- to long-term scheduling methods struggle to coordinate renewable-energy integration, supply reliability, and seasonal hydropower utilization. This study proposes a medium- to long-term cascade stored-energy dispatch-chart method under high-renewable penetration and derives the corresponding dispatch charts. A generation-space quantification model is developed for cascade hydropower, considering renewable-energy integration…
- OpenAlex · Published · First archived
Deep reinforcement learning based optimal control for wave energy converters: practical implementation and experimental validation ↗
Ocean wave energy resources are immense and, if harnessed, can serve as a reliable source to support a significant portion of electricity needs. However, the technology to convert wave power into useful electrical power is still cost-intensive. One significant challenge is inefficient Power Take-Off (PTO) control technologies. To address this challenge, the research team has previously developed a Deep Reinforcement Learning (DRL)-based optimal control for Wave Energy Converters (WECs) and has shown promising performance in terms of power production and quality (in contrast to state-of-the-art…
- OpenAlex · Published · First archived
Environment-Driven Fusion and Optimization Network for RGB-T Person Detection in Underground Mines ↗
Reliable personnel detection in underground mines is essential for safe intelligent mining, but uneven illumination, dust occlusion, thermal interference, and cross-modal parallax can degrade RGB-T perception. We propose an Environment-Driven Fusion and Optimization Network (EnvFONet), which uses environmental degradation as a unified prior for feature representation, multimodal fusion, and training optimization. First, Dynamic Receptive Field Relaxation (DRFR) adaptively interpolates original and locally smoothed thermal features to balance fine-detail preservation and contextual robustness.…
- OpenAlex · Published · First archived
Repurposing gas power stations for modular nuclear and hydrogen systems: a techno-economic assessment ↗
In the UK, many fossil-fuel power stations are approaching retirement, yet these sites retain valuable brownfield assets, notably developed industrial land and high-capacity grid connections, and can be repurposed for low-carbon generation. Repurposing such sites for low-carbon generation could therefore offer three linked advantages: lower upfront capital requirements through reuse of grid connections and developed industrial land; shorter project delivery times by reducing permitting needs and avoiding lengthy grid-connection queues; and higher system value through the provision of dispatcha…
- OpenAlex · Published · First archived
Intelligent Governance of Complex Social Systems: A Hybrid AI–System Dynamics Model for the Simulation and Projection of Sustainable Energy Transition ↗
Amidst growing uncertainty regarding global sustainable development goals and the increasing complexity of social systems, accurately characterizing long-term transition processes driven by the interactions of multiple agents and factors remains a critical challenge. Using China’s energy transition toward carbon neutrality as a proof-of-concept case, this paper constructs a bidirectional coupling framework based on a hybrid Artificial Intelligence–System Dynamics (AI-SD) approach. Within this framework, an axiomatic SD formal system imposes hard constraints on the nonlinear learning processes…
- OpenAlex · Published · First archived
Gateway-Driven Hybrid Adaptive Power Management for Energy-Harvesting LPWAN IoT Nodes Using Fuzzy Logic ↗
Low-Power Wide-Area Network (LPWAN)-based Internet of Things (IoT) deployments require energy management strategies that adapt to dynamic operating conditions without increasing the processing burden on energy-harvesting nodes. These nodes must coordinate data reporting with mandatory local services within a finite energy budget. Conventional fixed duty-cycling and synchronization policies do not jointly account for node energy availability, network traffic, and environmental factors influencing energy harvesting. This study presents hybrid adaptive power management (HA-PM), a framework combin…
- OpenAlex · Published · First archived
Scatter-induced non-linear signal compression and SDNR loss in triple-energy photon-counting iodine imaging ↗
Triple-energy x-ray imaging with photon-counting detectors (PCDs) enables material decomposition, but energy-dependent scatter introduces bin-specific distortions that propagate nonlinearly through triple-energy subtraction and degrade image quality. The purpose of this work is to quantify how bin-dependent scatter alters triple-energy iodine signal formation and to determine its impact on signal-difference-to-noise ratio (SDNR). Analytical expressions for iodine signal difference, noise, and SDNR were derived incorporating energy-bin-specific scatter fractions (SF) and their nonlinear couplin…
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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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