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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 ↗696 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
Wave Energy Converter Selection for Erosion-Sensitive Cold-Region Island Systems: A Site-Constrained Framework with Application to the Magdalen Islands ↗
Wave energy is a viable renewable resource for islands and isolated coastal areas looking to lessen their reliance on fossil fuels. However, the majority of wave energy converter (WEC) evaluations address site-specific limitations, including coastal erosion, sedimentary conditions, and cold-region processes, as secondary factors, with a primary focus on hydrodynamic performance and energy generation. This gap matters especially for low-lying island systems, where infrastructure resilience, coastline stability, and energy generation must be supported concurrently. Using the Magdalen Islands (Gu…
- OpenAlex · Published · First archived
Extending Energy Management Towards Suppliers—An Analysis of Drivers, Barriers and Selection Criteria ↗
Energy management (EnM) is crucial for reducing GHG emissions, but there is still a large potential to improve the energy efficiency of manufacturing companies. One approach that could be leveraged is to reduce Scope 3 emissions by extending EnM towards suppliers and integrating it into supply chain management (SCM); however, research linking these perspectives remains limited. This paper aims to investigate drivers and barriers associated with extending EnM towards suppliers and how EnM practices are considered in supplier selection. Based on a nationwide online survey sent to Swedish manufac…
- OpenAlex · Published · First archived
Integration of renewable energy sources based on LSTM with Harris Hawks Optimization for power system reactive power and power flow ↗
A hybrid framework combining Long Short-Term Memory and Harris Hawks Optimization (LSTM + HHO) is introduced to facilitate Reactive Power Optimization (RPO) and Power Flow Control (PFC) in power systems integrated with Renewable Energy (RE). In academic discourse, two-stage approaches address the prediction and optimization phases independently and sequentially. The suggested model distinguishes itself from these techniques by operating a closed feedback loop between the two phases. The LSTM temporal forecasts modify the HHO search domain at each optimization period based on the anticipated op…
- OpenAlex · Published · First archived
Heat pump integration in residential building retrofits: Energy, cost, and carbon dioxide emission analysis in South Korea ↗
The transition to carbon neutrality in the residential sector heavily relies on electrifying heating systems, prominently through heat pump integration. However, the actual environmental and economic efficacy of heat pump retrofits is highly contingent on regional grid characteristics and operational conditions. This study evaluates the energy, economic, and environmental impacts of replacing a conventional electric boiler with an air-source cascade heat pump system in a South Korean residential building. Using field measurements from a retrofitted single-family house operating on off-peak ele…
- OpenAlex · Published · First archived
Asymmetry in Heat Transfer and Phase Change Materials: A Review of Modeling, Simulation, and Applications in Energy Systems ↗
Asymmetric heat transfer is an intrinsic and defining feature of phase change material (PCM) systems, arising from the nonlinear coupling between conduction, buoyancy-driven convection, interfacial motion, and geometric or operational non-uniformities. This review synthesizes the physical, numerical, and application-specific mechanisms through which asymmetry emerges and shapes the thermal behavior of PCM-based energy systems. We first examine the fundamental origins of asymmetry, highlighting how natural convection, material heterogeneity, and spatially uneven boundary conditions distort temp…
- OpenAlex · Published · First archived
Ultralow‐Energy Analog Reservoir Computing via Reconfigurable 2‐Transistor Memory ↗
ABSTRACT Reservoir computing (RC) offers a promising route to real‐time temporal information processing and is widely regarded as an energy‐efficient alternative to conventional von Neumann architectures. Paradoxically, many hardware RC systems have yet to demonstrate clear advantages in both array‐level energy efficiency and processing speed, despite these being among the field's central motivations. Furthermore, their practical viability is limited by structural complexity and insufficient robustness. Here, we report a reconfigurable, dynamic random‐access memory (DRAM)‐like physical RC plat…
- OpenAlex · Published · First archived
Energy-aware bi-objective optimization for cooperative UGV–UAV Mars exploration ↗
This study presents a bi-objective optimization framework to evaluate the cost-effectiveness of a cooperative UGV–UAV system for Mars exploration. The framework models trade-offs between mission effectiveness, defined by UAV image quality and coverage and UGV sampling capability, and resource usage, captured through an integrated energy-aware cost model. Four multi-objective optimization algorithms—NSGA-II, R-NSGA-II, MOEA/D, and SMSEMOA—are employed to generate Pareto-optimal solutions. SMSEMOA consistently outperforms the others in convergence and diversity, particularly under rigid panel co…
- OpenAlex · Published · First archived
Cascading pit thermal energy storage: enabling simultaneous heating and cooling in centralized district energy systems ↗
Fifth generation district heating and cooling (5GDHC) networks enable simultaneous heating and cooling and the integration of renewable heat at low temperatures, but rely on distributed, hydraulically complex architectures. Centralized district heating and cooling (DHC) systems are operationally simpler, yet conventional centralized storage in a single large volume spanning a wide temperature range limits thermal stratification and cannot serve heating and cooling simultaneously, which precludes renewable integration in systems without chillers. This study introduces a cascading storage concep…
- OpenAlex · Published · First archived
Electric Field Effects on Amine Regeneration in Post-Combustion Carbon Capture—Part II: Mode-Selective Infrared Laser Excitation Probed by Nonequilibrium Ehrenfest Electron-Nuclear Dynamics ↗
Amine regeneration is the most energy-intensive step in amine-based post-combustion carbon capture (PCCC), and reducing its energy demand is essential for improving the overall efficiency of the capture process. In Part I of this series, static electric fields were shown to stabilize CO2 absorption products and increase the energy requirements for amine regeneration. In Part II, we investigate whether the fundamentally different response to time-dependent infrared laser excitation could provide molecular mechanisms for reducing the energy demand of amine regeneration. Nonequilibrium Ehrenfest…
- OpenAlex · Published · First archived
Event-Driven CNN–LSTM for Grid Exchange Forecasting in Industrial Microgrids: Feature Ablation and Multi-Horizon Evaluation ↗
Industrial microgrids integrating distributed photovoltaic (PV) systems require accurate grid exchange forecasting for effective energy management. However, grid exchange exhibits substantial fluctuations due to physical events such as cloud shading, PV curtailment, and surplus export. Most existing deep learning methods rely primarily on raw historical measurements and overlook the physical causes of these variations. This study proposes an event-driven CNN-LSTM framework that augments raw PV and grid signals with a PV ramp rate feature to capture abrupt transitions in solar output. Seven ope…
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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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