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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 ↗737 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
High-Temperature Solid-Particle Thermal Energy Storage Integrated with Coal-Fired Power Plants: Current Status and Future Trends ↗
The increasing penetration of renewable energy requires coal-fired power plants to operate with greater flexibility, while deep load reduction and frequent load variations challenge combustion stability, efficiency, and equipment reliability. High-temperature solid-particle thermal energy storage (TES) offers a promising approach to decouple boiler heat supply from turbine power demand. This review compares particle heating, discharging, transport, and system-integration strategies and relates reported findings to key design and operational constraints. Solid-particle storage media can operate…
- OpenAlex · Published · First archived
Comparative assessment of single-diode model parameter extraction and physical validity for high-efficiency photovoltaic modules ↗
The single-diode model (SDM) is widely used for representing the I – V characteristics of photovoltaic modules. Previous studies have shown that different parameter sets, even non-physical ones, can reproduce the measured curve with low error values. However, physically reasonable parameter sets remain preferable, and few studies have combined grid-based parameter exploration, physical-validity screening, and direct comparison of extraction-formulation-dependent irradiance trends for recent high-efficiency commercial modules. This work investigates commercial high-efficiency PERC and TOPCon mo…
- OpenAlex · Published · First archived
Embedded artificial intelligence in battery management systems: Pruning and quantization for efficient state-of-charge and state-of-health estimation ↗
Online battery management requires accurate state-of-charge (SOC) and state-of-health (SOH) estimates within strict memory and timing budgets. To address these constraints, this work investigates how stateful long short-term memory (LSTM) networks with multi-layer perceptron (MLP) heads can be optimized for embedded artificial intelligence (AI), using structured pruning and recurrent-weight quantization to reduce memory and computational costs while retaining estimation accuracy on an STM32H753ZI microcontroller. Using the open Lithium Iron Phosphate (LFP) Cycle Ageing Dataset , full-precision…
- OpenAlex · Published · First archived
Thermal performance enhancement of lithium-ion battery modules through coolant selection and cold plate structural optimisation ↗
Effective thermal management is critical to ensuring the safety, performance, and lifetime of lithium-ion battery modules used in electric vehicles. This study investigates two complementary strategies for enhancing indirect liquid-cooled battery thermal management systems: the use of environmentally benign coolants and the optimisation of practical cold-plate geometries. First, propylene glycol–water (PG–W) mixtures are evaluated as non-toxic alternatives to conventional ethylene glycol–water (EG–W) coolants using a validated three-dimensional computational fluid dynamics (CFD) framework inco…
- OpenAlex · Published · First archived
Next-generation machine learning optimized graphene-based solar absorber design using Zr-Cr-Fe3O4-TiC for renewable energy mining applications ↗
The widespread adoption of renewable energy can reduce carbon emissions and promote a greener environment. With a primary focus on the thermal conversion of sunlight, solar energy is an important renewable energy solution. A solar absorber is one of the important devices using solar energy and is made with a multilayered design of Zirconium – Chromium, Iron (III) oxide, and Titanium carbide across 2800 nm. With the graphene-based part in the developed design, near-perfect absorption (99%) is achieved over 600 nm (2.0–2.6 μm) and 94.43% with the wide band at 2800 nm, respectively. The resonance…
- OpenAlex · Published · First archived
An Adaptive Radio Frequency Energy Harvester Operating over −30 to 0 dBm Input Range for IoT Applications ↗
Radio-frequency (RF) energy harvesting for Internet of Things (IoT) nodes must combine low-power sensitivity, efficient conversion over variable input levels, and a stable load supply. This paper presents a 900 MHz adaptive harvester that integrates complementary three-phase and varactor-based ladder rectifiers with self-powered, voltage-based path selection, dual undervoltage lockout, storage control, and capacitive buck–boost regulation. The ladder rectifier supports low-input-power harvesting, while the three-phase rectifier provides higher efficiency as input power increases. Post-layout s…
- OpenAlex · Published · First archived
Thermoelectric energy harvesting for sustainable urban infrastructures: Opportunities, challenges, and deployment pathways ↗
Urban infrastructures continuously absorb, transport, and release low-grade heat, but this thermal resource is rarely used where it is generated. Thermoelectric generators offer a solid-state route for converting local temperature gradients into electricity. However, their relevance to cities should not be inferred from the presence of temperature differences alone. In building envelopes and windows, available gradients may be only a few degrees, whereas solar-heated roofs, façades, pavements, geothermal networks, buried pipelines, and underground spaces can provide several to tens of degrees…
- OpenAlex · Published · First archived
Multiple model predictive control strategy for improved energy efficiency of a data-driven commercial cold storage system ↗
Commercial cold storage systems are energy-intensive thermal processes where fluctuating ambient temperatures often drive internal heat gains, leading to compressor short-cycling and reduced efficiency. To address these challenges, this study develops a Multiple Model Predictive Control (MMPC) strategy based on a data-driven state-space architecture. Utilizing a modified high-fidelity benchmark model from Aalborg University, subspace system identification was employed to characterize the system dynamics across a 14-day tropical temperature profile (8.9 to 32.8°C). The model incorporates ambien…
- OpenAlex · Published · First archived
Systems oriented review on artificial intelligence as a sustainability enabler in renewable energy modeling and energy transition pathways ↗
Artificial intelligence (AI) has emerged as a critical enabler of renewable energy system development, offering new capabilities for forecasting, optimization, predictive maintenance, and real-time control. However, existing review studies remain fragmented across individual renewable-energy technologies or algorithmic domains, limiting the transferability of knowledge and the development of system-level insights. Unlike traditional, purely technical algorithm reviews that primarily evaluate computational performance in isolation, this review adopts a systems-oriented framework that examines A…
- OpenAlex · Published · First archived
Exploiting dynamics of electricity–hydrogen–carbon markets using adaptive operating rules for hybrid energy systems ↗
Electricity markets have traditionally shaped the operating strategies of hybrid energy systems (HESs) integrating hydropower, wind, and photovoltaic resources. Meanwhile, the rapid emergence of hydrogen and carbon markets is transforming system operation by linking electricity supply, hydrogen production, and carbon-related revenues. However, existing electricity–hydrogen operating rules do not account for how pathway-dependent carbon values alter the allocation of renewable electricity between grid delivery and hydrogen production. This study embeds pathway-dependent carbon valuation into th…
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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