UEX-CleanEnergyConversion
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Microstructure & physicochemical properties dataset of NaCl-based salt mixtures for concentrating solar power | 10.1038/s41597-025-06437-z | https://doi.org/10.1038/s41597-025-06437-z | Scientific Data | 2,026 | Feng, Y.; Wu, Y.; Wang, W. | Abstract
Concentrating solar power is a pivotal technology in global transition toward renewable energy, providing a viable pathway for dispatchable and base-load electricity generation. An important component of the concentrating solar power system is molten salts, particularly NaCl-based mixtures, which serve as both efficient heat transfer fluids and high-capacity thermal energy storage media. The influence mechanisms of micro-ionic interactions and microstructure on physico | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
SWFITEM: Solar Wind Fitting for Investigations of Thermodynamics and Energetics at Mars – A MAVEN dataset | 10.1038/s41597-025-06530-3 | https://doi.org/10.1038/s41597-025-06530-3 | Scientific Data | 2,026 | Ramstad, R.; Halekas, J.; Andersson, L.; Brain, D.; Espley, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Bounding the costs of electric vehicle managed charging—supply curves for scenarios from 2025 to 2050 | 10.1038/s41597-026-07008-6 | https://doi.org/10.1038/s41597-026-07008-6 | Scientific Data | 2,026 | Matsuda-Dunn, R.; Hale, E.; Estreich, E.; Lavin, L.; Konar-Steenberg, G. | Abstract
As electric vehicle (EV) adoption increases, the resulting EV battery charging will increase demand on the electric power grid. Through EV managed charging (EVMC) programs, charging can be shifted in time to support electric grid reliability and reduce electricity costs. EVMC can offer an alternative to additional supply-side generation, but the costs of EVMC implementation must be understood to evaluate the cost-benefits of EVMC. This paper presents bottom-up, forward | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Energy Storage & Batteries | |
Multiclass Dataset for Intelligent Detection of Wind Turbine Blade Defects Using Drone Imagery | 10.1038/s41597-026-06762-x | https://doi.org/10.1038/s41597-026-06762-x | Scientific Data | 2,026 | Ji, L.; Cheng, J.; Wu, S. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Illumination-assisted annealing enables selenium solar cells with open-circuit voltage over 1 V and efficiency exceeding 10% | 10.1038/s41560-025-01939-x | https://doi.org/10.1038/s41560-025-01939-x | Nature Energy | 2,026 | Wen, X.; Li, Z.; Lu, W.; Li, J.; Xie, W. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Early market opportunity for long-duration energy storage | 10.1038/s41560-026-01986-y | https://doi.org/10.1038/s41560-026-01986-y | Nature Energy | 2,026 | Marqusee, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Suppressing intermediate crystallization for flexible tandem solar cells | 10.1038/s41560-026-01979-x | https://doi.org/10.1038/s41560-026-01979-x | Nature Energy | 2,026 | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |||
Co-crystal engineering unlocks high-stability perovskite solar modules | 10.1038/s41560-025-01904-8 | https://doi.org/10.1038/s41560-025-01904-8 | Nature Energy | 2,026 | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |||
Regulation of hydrothermal kinetics unlocks record efficiency in Sb2(S,Se)3 solar cells | 10.1038/s41560-025-01956-w | https://doi.org/10.1038/s41560-025-01956-w | Nature Energy | 2,026 | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |||
Mapping Europe’s rooftop photovoltaic potential with a building-level database | 10.1038/s41560-025-01947-x | https://doi.org/10.1038/s41560-025-01947-x | Nature Energy | 2,026 | Kakoulaki, G.; Kenny, R.; Taylor, N.; Gracia-Amillo, A.; Szabo, S. | Abstract
Individual building-level approaches are needed to understand the full potential of rooftop photovoltaics (PV) at national and regional scale. Here we use the European Digital Building Stock Model R2025, an open-access building-level database, to assess rooftop solar potential for each of the 271 million buildings in the European Union. The results show that potential capacity could reach 2.3 TWp (1,822 GWp residential, 519 GWp non-residential), wi | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Author Correction: Mapping Europe’s rooftop photovoltaic potential with a building-level database | 10.1038/s41560-026-01991-1 | https://doi.org/10.1038/s41560-026-01991-1 | Nature Energy | 2,026 | Kakoulaki, G.; Kenny, R.; Taylor, N.; Gracia-Amillo, A.; Szabo, S. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Advancing wind energy through better understanding of the atmosphere | 10.1038/s41560-025-01935-1 | https://doi.org/10.1038/s41560-025-01935-1 | Nature Energy | 2,026 | Lundquist, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Heterogeneity in public attitudes and preferences for the deployment of aquifer thermal energy storage | 10.1038/s41560-026-01977-z | https://doi.org/10.1038/s41560-026-01977-z | Nature Energy | 2,026 | Liu, T.; Hanna, R.; Kountouris, Y. | Abstract
Aquifer thermal energy storage (ATES) can contribute to heating and cooling decarbonization by utilizing the thermal capacity of natural aquifers. Securing acceptance and support for deploying ATES at scale requires acknowledging public perceptions and designing systems compatible with public preferences. Here we characterize attitudinal stances and preferences for the deployment of ATES in public buildings in the UK. Using data from a social surve | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | |
Author Correction: Heterogeneity in public attitudes and preferences for the deployment of aquifer thermal energy storage | 10.1038/s41560-026-02034-5 | https://doi.org/10.1038/s41560-026-02034-5 | Nature Energy | 2,026 | Liu, T.; Hanna, R.; Kountouris, Y. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | ||
Sorption-driven dissolution refrigeration cycle with thermal storage | 10.1038/s41560-026-01992-0 | https://doi.org/10.1038/s41560-026-01992-0 | Nature Energy | 2,026 | Wu, S.; Tang, K.; Zhang, X.; Sang, H.; Du, R. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | ||
Toward traceable global systems for end-of-life photovoltaic waste | 10.1038/s41467-026-69171-z | https://doi.org/10.1038/s41467-026-69171-z | Nature Communications | 2,026 | Huang, B.; Long, Y. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Probabilistic day-ahead forecasting of system-level renewable energy and electricity demand | 10.1038/s41467-026-69015-w | https://doi.org/10.1038/s41467-026-69015-w | Nature Communications | 2,026 | Terrén-Serrano, G.; Deshmukh, R.; Martínez-Ramón, M. | Abstract
Increasing shares of wind and solar generation, together with rising electricity demand, introduce growing uncertainty into power system operations. Accurate day-ahead forecasts of electricity demand and renewable generation are essential for system operators to coordinate electricity markets and maintain reliability at low cost. Here, we show that forecasting based on joint probability distributions of demand and renewable supply can substantially improve system-level | CrossRef | CleanTech | Solar PV & Storage | Carbon Trading & New Business Models | Solar Energy Conversion | |
Self-driven recycling of spent Li-ion battery materials with electricity generation | 10.1038/s41467-026-69868-1 | https://doi.org/10.1038/s41467-026-69868-1 | Nature Communications | 2,026 | Huang, S.; Huang, S.; Li, M.; Zhang, H.; Wang, X. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Reconstructing fine-scale 3D wind fields with terrain-informed machine learning | 10.1038/s41467-026-70562-5 | https://doi.org/10.1038/s41467-026-70562-5 | Nature Communications | 2,026 | Lin, C.; Tie, R.; Yi, S.; Liu, D.; Zhong, X. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Charting net-zero pathways for ASEAN's energy sector | 10.1093/pnasnexus/pgaf389 | https://doi.org/10.1093/pnasnexus/pgaf389 | npj Clean Energy | 2,026 | Zhong, S.; Su, B.; Papageorgiou, D.; Yeung, F.; Ng, T. | Abstract
The Association of Southeast Asian Nations (ASEAN) is at a turning point to drive an energy transition toward a low-carbon future. Investigating ASEAN's decarbonization strategies is timely. We present a capacity expansion model with hourly resolution for ASEAN to meet net-zero emissions by 2050, integrating electricity generation and hydrogen production. The results show two “bookend” pathways. ASEAN can decarbonize its power sector through an accelerated expansion in | CrossRef | DigiEnergy | Renewable Energy Simulation Tools | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | |
Hourglass-shaped GaAs0.99Bi0.01 nanowire solar cells with CuI-PEDOT:PSS double hole transport layers for enhanced photovoltaic performance | 10.1038/s41598-025-34717-6 | https://doi.org/10.1038/s41598-025-34717-6 | Scientific Reports | 2,026 | Rautela, M.; Sagar, S.; Kumar, J. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
A sport inspired kabaddi game optimizer for accurate parameter estimation of solar photovoltaic models | 10.1038/s41598-025-32437-5 | https://doi.org/10.1038/s41598-025-32437-5 | Scientific Reports | 2,026 | Ayyarao, T.; Kishore, G.; Dev, A.; Siddaraj, U. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Interaction effect of courtyard building form and orientation on energy performance of hospitals in warm humid climate | 10.1038/s41598-026-40632-1 | https://doi.org/10.1038/s41598-026-40632-1 | Scientific Reports | 2,026 | Harshalatha, .; Patil, S. | Abstract
The built environment plays a crucial role in optimizing energy consumption within hospital buildings. Enhancing its efficiency is vital for sustainable development. The form, shape and orientation of hospital buildings significantly impact their energy performance, leading to energy savings, improved indoor air quality, and enhanced thermal comfort. This research focuses on assessing the interactive effect of courtyard building forms and orientation on energy performa | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Optimal operation of multi-carrier energy systems integrated with renewable energy sources and hydrogen storage systems | 10.1038/s41598-026-35497-3 | https://doi.org/10.1038/s41598-026-35497-3 | Scientific Reports | 2,026 | Foroughian, S.; Bijan, Z.; Karimi, H.; Hasanzadeh, S. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
A multi strategy optimization framework using AI digital twins for smart grid carbon emission reduction | 10.1038/s41598-026-38720-3 | https://doi.org/10.1038/s41598-026-38720-3 | Scientific Reports | 2,026 | Sakthivel, S.; Arivukarasi, M.; Charulatha, G.; Nithisha, J.; Abirami, B. | Abstract
This research presents an AI-enabled digital twin framework to achieve carbon neutrality in smart grids through optimal management of heterogeneous energy storage systems. The proposed structure integrates battery, thermal, and hydrogen storage technologies with AI-driven forecasting models to address the challenge of renewable integration, while maintaining grid stability and economic viability. This paper presents a comparative analysis of three distinct optimization | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | |
Optimized scheduling of integrated energy systems considering waste-to-power plants and advanced adiabatic air compression energy storage machines | 10.1038/s41598-026-37485-z | https://doi.org/10.1038/s41598-026-37485-z | Scientific Reports | 2,026 | Wang, W.; Liu, M.; Zhao, H.; Wu, Y.; Tian, Y. | Abstract
To achieve carbon peaking and carbon neutrality goals, improve energy utilization efficiency, and accelerate the decarbonization of energy structure, this paper proposes a model that integrates Waste Incineration Power Plant (WIP) and Advanced Adiabatic Compressed Air Energy Storage (AA-CAES) to reduce carbon emissions and enhance system economics. First, based on the coupled WIP and Power-to-Gas (P2G) model, a waste heat recovery unit is introduced to recover exhaust | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
A probabilistic framework for effective battery energy storage sizing in microgrids with demand response | 10.1038/s41598-026-35145-w | https://doi.org/10.1038/s41598-026-35145-w | Scientific Reports | 2,026 | Alamir, N.; Kamel, S.; Megahed, T.; Hori, M.; Abdelkader, S. | CrossRef | FLEXERGY | Demand Response | Demand Response & New Mobilities & Urban Planning | Energy Storage & Batteries | ||
State-of-play of contending silicon photovoltaic technologies | 10.1016/j.joule.2025.102240 | https://doi.org/10.1016/j.joule.2025.102240 | Joule | 2,026 | Green, M.; Zhou, Z.; Song, N.; Qiu, K.; Xu, X. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Climate change will increase high-temperature risks, degradation, and costs of rooftop photovoltaics globally | 10.1016/j.joule.2025.102218 | https://doi.org/10.1016/j.joule.2025.102218 | Joule | 2,026 | Wu, H.; Kong, Q.; Huber, M.; Sun, M.; Craig, M. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Insight into rapid vegetation dynamics in China’s saltmarshes reveals overlooked coastal soil carbon storage | 10.1016/j.oneear.2026.101613 | https://doi.org/10.1016/j.oneear.2026.101613 | One Earth | 2,026 | Qi, G.; Wei, J.; Li, H.; Xie, T.; Li, L. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
The impact of enhanced geothermal systems on transitioning all energy sectors in 150 countries to 100% clean, renewable energy | 10.1016/j.crsus.2025.100611 | https://doi.org/10.1016/j.crsus.2025.100611 | Cell Reports Sustainability | 2,026 | Jacobson, M.; Sambor, D.; Fan, Y.; Mühlbauer, A.; DiBari, G. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | ||
Renewable-powered high-temperature compressed air energy storage to accelerate grid decarbonization | 10.1016/j.crsus.2026.100639 | https://doi.org/10.1016/j.crsus.2026.100639 | Cell Reports Sustainability | 2,026 | Yang, D.; Wang, J.; Tang, G.; He, W. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
A theoretical upper limit for offshore wind energy extraction | 10.1016/j.crsus.2025.100573 | https://doi.org/10.1016/j.crsus.2025.100573 | Cell Reports Sustainability | 2,026 | Simão Ferreira, C.; Larsen, G.; Sørensen, J. | CrossRef | DigiEnergy | Renewable Energy Resource Mapping | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Comparative evaluation of the material consumption and carbon footprint of silicon PV modules | 10.1016/j.crsus.2025.100576 | https://doi.org/10.1016/j.crsus.2025.100576 | Cell Reports Sustainability | 2,026 | Kim, M.; Chan, C.; Wang, S.; Wang, L.; Chang, N. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Solar Energy Conversion | ||
Mechanical-electrical conversion performance of electromagnetic-triboelectric hybrid generator for wind energy harvesting | 10.1016/j.isci.2026.114728 | https://doi.org/10.1016/j.isci.2026.114728 | iScience | 2,026 | Wang, Z.; Huang, C.; Cao, J.; Li, X.; Bian, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Toward sustainable outcomes for offshore wind and biodiversity in the digital era: Principles for collaborative digital ecosystem-based governance | 10.1016/j.isci.2026.114881 | https://doi.org/10.1016/j.isci.2026.114881 | iScience | 2,026 | Solman, H.; Mandeville, C. | CrossRef | DigiEnergy | Renewable Energy Resource Mapping | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Widespread increase in frequency and duration of European wind droughts based on CMIP6 projections | 10.1016/j.isci.2026.115075 | https://doi.org/10.1016/j.isci.2026.115075 | iScience | 2,026 | Mostue, I.; Valenzuela-Venegas, G.; Banos, D.; Storelvmo, T.; Zeyringer, M. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Multinary tellurates as energy storage materials | 10.1016/j.isci.2026.114936 | https://doi.org/10.1016/j.isci.2026.114936 | iScience | 2,026 | Masese, T.; Kanyolo, G. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Large terahertz photovoltaic effect enhanced by phonon excitations in ferroelectric semiconductor SbSI | 10.1126/sciadv.adw9796 | https://doi.org/10.1126/sciadv.adw9796 | Science Advances | 2,026 | Okamura, Y.; Guo, G.; Kaneko, Y.; Nakamura, M.; Sotome, M. | Quantum geometry of Bloch electron in crystalline solids produces various exotic quantum phenomena. The shift current photovoltaic effect driven by the photo creation of quasiparticle is one such emerging example that enables the conversion from terahertz photon into dc charge current with absence of dissipative photocarrier. Despite wide-ranging potential applications, however, the fundamental nature of terahertz photovoltaic response has remained elusive. Here, we show the large photocurrent g | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Bulk and interface engineering of 1.7 eV–bandgap chalcogenide solar cells enabling record efficiency | 10.1126/sciadv.aed4703 | https://doi.org/10.1126/sciadv.aed4703 | Science Advances | 2,026 | Ishizuka, S.; Taguchi, N. |
Wide-bandgap chalcogenide photovoltaics offer strong potential for tandem solar cells and solar-driven hydrogen generation via water splitting, yet their performance remains limited by persistent interfacial and bulk defects. Here, we demonstrate enhanced efficiency in 1.7–electron volt CuGaSe
2
thin-film solar cells through aluminum (Al) alloying and rubidium (Rb) incorporation. The Al- and Rb-modified CuGaSe
2
| CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Reassessing boreal wildfire drivers enables high-resolution mapping of emissions for climate adaptation | 10.1126/sciadv.adw5226 | https://doi.org/10.1126/sciadv.adw5226 | Science Advances | 2,026 | Eckdahl, J.; Nieradzik, L.; Rütting, L. | The expansive carbon reservoirs of the boreal region are becoming some of the most rapidly growing sources of greenhouse gasses under a positive feedback between intensifying fire activity and climate change. However, current regional-scale methods lack the spatial precision needed to improve understanding of the drivers of these fluxes to inform strategies aimed at maximizing landscape carbon storage. Here, we develop an alternative and highly constrained procedure for estimating wildfire emiss | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Chang’E-6 reveals solar wind–dependent H
<sup>−</sup>
ions on the Moon | 10.1126/sciadv.adw1162 | https://doi.org/10.1126/sciadv.adw1162 | Science Advances | 2,026 | Zhong, T.; Xie, L.; Zhang, A.; Wieser, M.; Wang, W. |
Apart from positive ions and electrons, negative ions are expected in various astrophysical environments. However, they have never been detected on the Moon until the Chang’E-6 mission. The NILS instrument onboard Chang’E-6 lander is the first dedicated instrument for detecting negative ions beyond Earth and has successfully obtained H
−
spectra on the lunar surface, providing an unprecedented opportunity to investigate their origin an | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Boosting capacitive energy storage in relaxor ferroelectrics through polymorphic phase engineering | 10.1126/sciadv.aeb7173 | https://doi.org/10.1126/sciadv.aeb7173 | Science Advances | 2,026 | Zhang, Y.; Liang, H.; Liu, Y.; Li, D.; Dong, S. |
Relaxor ferroelectric materials are promising for next-generation capacitors due to their high energy storage capacity. Polymorphic phase engineering, where different ferroelectric phases coexist, has been widely demonstrated as an effective approach to further boost capacitive energy storage performance of relaxor ferroelectrics, but the reasons for these improvements and how they compare to single-phase systems remain unclear. Here, taking dendrite-like PbZr
| CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Rigid-flexible heptazine-biguanide frameworks enable fast electron delocalization and low-steric-hindrance ammonium-ion storage | 10.1126/sciadv.aec9924 | https://doi.org/10.1126/sciadv.aec9924 | Science Advances | 2,026 | Du, W.; Zhang, Y.; Duan, H.; Lv, Y.; Song, Z. |
Polymer anodes solve the solubility issue of small molecules while offering structure-function merits compared with inorganics for superior ammonium-ion batteries (AIBs), but current research focuses either on rigid polymers for rapid ion transport or flexible ones for high active-site utilization. Here, we design polymeric heptazine-biguanide frameworks (HBFs) via integrating planar three-electron meleme and rotated four-electron chlorhexidine linkers, which harness the adv | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
The ocean’s biological carbon pump under pressure | 10.1126/sciadv.aef3182 | https://doi.org/10.1126/sciadv.aef3182 | Science Advances | 2,026 | Middelburg, J. | Increasing hydrostatic pressure induces the release of dissolved organic matter from rapidly settling marine particles and contributes to the depth attenuation of carbon fluxes. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
Global dataset combining open-source hydropower plant and reservoir data | 10.1038/s41597-025-04975-0 | https://doi.org/10.1038/s41597-025-04975-0 | Scientific Data | 2,025 | Shah, J.; Hu, J.; Edelenbosch, O.; van Vliet, M. | Abstract
Hydropower is a crucial renewable source that depends heavily on water availability. Analyzing drought and climate change impacts on hydropower potential requires detailed data on both hydropower plant attributes (e.g. plant type and head) and reservoir characteristics (e.g. area, depth and volume). However, existing open-source datasets are poorly integrated: hydropower plant datasets often lack reservoir information, while reservoir datasets commonly miss hydropower plant in | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Wind & Other Renewables | |
Global photovoltaic solar panel dataset from 2019 to 2022 | 10.1038/s41597-025-04985-y | https://doi.org/10.1038/s41597-025-04985-y | Scientific Data | 2,025 | Li, A.; Liu, L.; Li, S.; Cui, X.; Chen, X. | Abstract
Solar photovoltaic (PV) power generation, known for its affordability and environmental benefits, is a key component of the global energy supply. However, the lack of comprehensive, timely, and precise global PV datasets has limited spatial analysis of PV potential. We developed a new method to identify PV panels globally, producing an annual 20-meter resolution dataset for 2019–2022. This dataset offers unprecedented detail and accuracy for future research and policy-making. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
CPVPD-2024: A Chinese photovoltaic plant dataset derived via a topography-enhanced deep learning framework | 10.1038/s41597-025-05891-z | https://doi.org/10.1038/s41597-025-05891-z | Scientific Data | 2,025 | Yang, Y.; Lin, S.; Lu, R.; Liu, X. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Solar PV Generation and Consumption Dataset of an Estonian Residential Dwelling | 10.1038/s41597-025-04747-w | https://doi.org/10.1038/s41597-025-04747-w | Scientific Data | 2,025 | Hasan, S.; Blinov, A.; Chub, A.; Vinnikov, D. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
An improved spatially downscaled solar-induced chlorophyll fluorescence dataset from the TROPOMI product | 10.1038/s41597-024-04325-6 | https://doi.org/10.1038/s41597-024-04325-6 | Scientific Data | 2,025 | Chen, S.; Liu, L.; Sui, L.; Liu, X.; Ma, Y. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Longitudinal Dataset of Net-load, PV Production and Solar Irradiation from Madeira Island, Portugal | 10.1038/s41597-025-06118-x | https://doi.org/10.1038/s41597-025-06118-x | Scientific Data | 2,025 | Pereira, L.; Monteiro, D.; Apina, F.; Scuri, S.; Barreto, M. | Abstract
This paper presents the PTProsumer dataset, a high-resolution dataset of photovoltaic (PV) production and net-load measurements collected from 24 prosumers - entities that both produce and consume electricity, including households and small commercial buildings - on Madeira Island, Portugal. The dataset covers monitoring periods ranging from 3 months to 5 years, with measurements sampled at a 1-second resolution, resulting in approximately 3.89 billion data points. PV | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
A harmonized dataset of ground-mounted solar energy in the US with enhanced metadata | 10.1038/s41597-025-05862-4 | https://doi.org/10.1038/s41597-025-05862-4 | Scientific Data | 2,025 | Stid, J.; Kendall, A.; Anctil, A.; Rapp, J.; Bingaman, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
A global urban tree leaf area index dataset for urban climate modeling | 10.1038/s41597-025-04729-y | https://doi.org/10.1038/s41597-025-04729-y | Scientific Data | 2,025 | Dong, W.; Yuan, H.; Lin, W.; Liu, Z.; Xiang, J. | Abstract
Urban trees are recognized for mitigating urban thermal stress, therefore incorporating their effects is crucial for urban climate research. However, due to the limitation of remote sensing, the LAI in urban areas is generally masked (e.g., MODIS), which in turn limits its application in Urban Canopy Models (UCMs). To address this gap, we developed a high-resolution (500 m) and long-time-series (2000–2022) urban tree LAI dataset derived through the Random Forest model trained | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | |
A hierarchical dataset on multiple energy consumption and PV generation with emissions and weather information | 10.1038/s41597-025-06010-8 | https://doi.org/10.1038/s41597-025-06010-8 | Scientific Data | 2,025 | Dong, H.; Zhu, J.; Chung, C.; Liang, Z.; Yang, H. | Abstract
This study constructs a multi-source and hierarchical dataset of energy consumption, photovoltaic (PV) power generation, greenhouse gas (GHG) emissions, and weather information, dubbed Hierarchical Energy, Emissions, and Weather (HEEW). This dataset contains 11,987,328 records for 147 individual buildings, four aggregated communities, and the entire region, which is structured as time-series tables indexed by building ID and timestamps from 1 January 2014 to 31 Decembe | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
A global dataset of the cost of capital for renewable energy projects | 10.1038/s41597-025-05912-x | https://doi.org/10.1038/s41597-025-05912-x | Scientific Data | 2,025 | Steffen, B.; Egli, F.; Gumber, A.; Ðukan, M.; Waidelich, P. | Abstract
The cost of capital (CoC) critically influences the levelized cost of renewable energy and, by extension, the global low-carbon transition. However, reliable and consistent CoC data remain scarce, limiting an appropriate reflection of CoC differences in energy system and integrated assessment models. We present a global dataset of CoC for renewable energy projects, covering 68 countries from 2010 to 2022 and focusing on three key technologies: utility-scale solar photovoltaics | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Dataset of CO2 geological storage potential and injection rate capacity in China based on fine grid technology | 10.1038/s41597-025-04875-3 | https://doi.org/10.1038/s41597-025-04875-3 | Scientific Data | 2,025 | Fan, J.; Xiang, X.; Yao, Y.; Li, K.; Li, Z. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Unveiling Energy Dynamics of Battery Electric Vehicle Using High-Resolution Data | 10.1038/s41597-025-06148-5 | https://doi.org/10.1038/s41597-025-06148-5 | Scientific Data | 2,025 | Yasko, M.; Moussa Issaka, A.; Tian, F.; Kazmi, H.; Driesen, J. | Abstract
Battery electric vehicles (BEVs) have increasingly positioned themselves as a critical technology in the power system, impacting the world’s energy consumption. Understanding the BEV energy dynamics can contribute to vehicle, infrastructure, and grid optimization. Currently, BEV manufacturers provide limited access to the vehicle’s high energy consuming components, such as the battery and the charger. Therefore, existing public datasets consist mostly of aggregated dat | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Energy Storage & Batteries | |
Multimodal dataset for wind turbine blade monitoring during lightning strikes | 10.1038/s41597-025-05651-z | https://doi.org/10.1038/s41597-025-05651-z | Scientific Data | 2,025 | Li, T.; Li, C.; Qin, Y.; Tan, L.; Jiang, B. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
High-resolution gridded dataset of China’s offshore wind potential and costs under technical change | 10.1038/s41597-025-04428-8 | https://doi.org/10.1038/s41597-025-04428-8 | Scientific Data | 2,025 | An, K.; Cai, W.; Lu, X.; Wang, C. | CrossRef | DigiEnergy | Renewable Energy Resource Mapping | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
A Global ERA5-based Tropical Cyclone Wind Field Dataset Enhanced by Integrated Parametric Correction Methods | 10.1038/s41597-025-05789-w | https://doi.org/10.1038/s41597-025-05789-w | Scientific Data | 2,025 | Liu, G.; Jiang, S.; Zheng, M.; Lin, S.; Kong, Y. | CrossRef | DigiEnergy | Weather & Meteorological Data | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Rooftop solar can reduce energy insecurity | 10.1038/s41560-025-01750-8 | https://doi.org/10.1038/s41560-025-01750-8 | Nature Energy | 2,025 | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |||
Unequal solar photovoltaic performance by race and income partly reflects financing models and installer choices | 10.1038/s41560-025-01743-7 | https://doi.org/10.1038/s41560-025-01743-7 | Nature Energy | 2,025 | Gherghina, M.; Dokshin, F.; Leffel, B. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Citizen-financed solar projects | 10.1038/s41560-025-01710-2 | https://doi.org/10.1038/s41560-025-01710-2 | Nature Energy | 2,025 | Lakeman, S. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Inert low-dimensional interfaces for perovskite solar cells | 10.1038/s41560-025-01818-5 | https://doi.org/10.1038/s41560-025-01818-5 | Nature Energy | 2,025 | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |||
Graphite-protected organic photoactive layer for direct solar hydrogen generation | 10.1038/s41560-025-01737-5 | https://doi.org/10.1038/s41560-025-01737-5 | Nature Energy | 2,025 | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |||
An antisolvent-seeding approach to produce stable flexible tandem solar cells | 10.1038/s41560-025-01766-0 | https://doi.org/10.1038/s41560-025-01766-0 | Nature Energy | 2,025 | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |||
Global greenhouse gas emissions mitigation potential of existing and planned hydrogen projects | 10.1038/s41560-025-01892-9 | https://doi.org/10.1038/s41560-025-01892-9 | Nature Energy | 2,025 | Terlouw, T.; Moretti, C.; Harpprecht, C.; Sacchi, R.; McKenna, R. | Abstract
Hydrogen will play a critical role in decarbonizing diverse economic sectors. However, given limited sustainable resources and the energy-intensive nature of its production, prioritizing its applications will be essential. Here, we analyse approximately 2,000 (low-carbon) hydrogen projects worldwide, encompassing operational and planned initiatives until 2043, quantifying their greenhouse gas (GHG) emissions and mitigation potential from a life cyc | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | |
Author Correction: US industrial policy may reduce electric vehicle battery supply chain vulnerabilities and influence technology choice | 10.1038/s41560-025-01799-5 | https://doi.org/10.1038/s41560-025-01799-5 | Nature Energy | 2,025 | Cheng, A.; Fuchs, E.; Michalek, J. | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Energy Storage & Batteries | ||
The impact of sound ordinances on the land-based wind technical potential of the United States | 10.1038/s41560-025-01739-3 | https://doi.org/10.1038/s41560-025-01739-3 | Nature Energy | 2,025 | Gu, J.; Glaws, A.; Harrison-Atlas, D.; Bortolotti, P.; Kaliski, K. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
A catalytic cycle that enables crude hydrogen separation, storage and transportation | 10.1038/s41560-025-01806-9 | https://doi.org/10.1038/s41560-025-01806-9 | Nature Energy | 2,025 | Chen, Y.; Kong, X.; Yang, C.; Liao, Y.; Gao, G. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Ambient pressure storage of high-density methane in nanoporous carbon coated with graphene | 10.1038/s41560-025-01783-z | https://doi.org/10.1038/s41560-025-01783-z | Nature Energy | 2,025 | Wang, S.; Vallejos-Burgos, F.; Furuse, A.; Otsuka, H.; Nagae, M. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
The EU battery carbon footprint rules need urgent attention | 10.1038/s41560-025-01844-3 | https://doi.org/10.1038/s41560-025-01844-3 | Nature Energy | 2,025 | Rajaeifar, M.; Müller, D.; Hanton, M.; Heidrich, O. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Energy Storage & Batteries | ||
Converting methane into carbon nanotubes and hydrogen in a continuous flow reactor | 10.1038/s41560-025-01926-2 | https://doi.org/10.1038/s41560-025-01926-2 | Nature Energy | 2,025 | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | |||
Feasibility of meeting future battery demand via domestic cell production in Europe | 10.1038/s41560-025-01722-y | https://doi.org/10.1038/s41560-025-01722-y | Nature Energy | 2,025 | Link, S.; Schneider, L.; Stephan, A.; Weymann, L.; Plötz, P. | Abstract
Batteries are critical to mitigate global warming, with battery electric vehicles as the backbone of low-carbon transport and the main driver of advances and demand for battery technology. However, the future demand and production of batteries remain uncertain, while the ambition to strengthen national capabilities and self-sufficiency is gaining momentum. In this study, leveraging probabilistic modelling, we assessed Europe’s capability to meet its future demand for high-ener | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Energy Storage & Batteries | |
Deploying photovoltaic systems in global open-pit mines for a clean energy transition | 10.1038/s41893-025-01594-w | https://doi.org/10.1038/s41893-025-01594-w | Nature Sustainability | 2,025 | Wang, K.; Zhou, J.; Yang, R.; Xu, S.; Hu, Z. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Strategizing renewable energy transitions to preserve sediment transport integrity | 10.1038/s41893-025-01626-5 | https://doi.org/10.1038/s41893-025-01626-5 | Nature Sustainability | 2,025 | Xu, B.; Liu, Z.; Yan, S.; Schmitt, R.; He, X. | Abstract
Hydropower is vital for climate mitigation by enabling low-carbon energy systems, but hydropower dams also trap sediment, a crucial resource for ecosystems and climate adaptation along downstream coastlines. Here we present a multisectoral integrated water–sediment–energy planning framework that fully internalizes the impacts of hydropower expansion, both on energy system costs and on foregone ecosystem services from reduced sediment supply for the Mekong River Basin. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
The future of large-scale solar interfacial desalination | 10.1038/s41893-024-01497-2 | https://doi.org/10.1038/s41893-024-01497-2 | Nature Sustainability | 2,025 | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |||
3D printing of organogel solar evaporators | 10.1038/s41893-025-01741-3 | https://doi.org/10.1038/s41893-025-01741-3 | Nature Sustainability | 2,025 | Zhang, Y. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Solar-enhanced biological wastewater treatment | 10.1038/s41893-025-01587-9 | https://doi.org/10.1038/s41893-025-01587-9 | Nature Sustainability | 2,025 | Wang, W.; Huang, Y.; Wang, P. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Synergies and trade-offs of multi-use solar landscapes | 10.1038/s41893-025-01600-1 | https://doi.org/10.1038/s41893-025-01600-1 | Nature Sustainability | 2,025 | Merheb, C.; Macknick, J.; Davatzes, N.; Ravi, S. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Large-scale implementation of solar interfacial desalination | 10.1038/s41893-024-01485-6 | https://doi.org/10.1038/s41893-024-01485-6 | Nature Sustainability | 2,025 | Chen, Y.; Shen, L.; Qi, Z.; Luo, Z.; Li, X. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Embodied emissions of chemicals within the EU Carbon Border Adjustment Mechanism | 10.1038/s41893-025-01618-5 | https://doi.org/10.1038/s41893-025-01618-5 | Nature Sustainability | 2,025 | Minten, H.; Hausweiler, J.; Probst, B.; Reinert, C.; Meys, R. | Abstract
The European Union’s Carbon Border Adjustment Mechanism (CBAM) aims to avoid carbon leakage by pricing the production emissions of imported goods. Currently, the CBAM applies to iron and steel, cement, aluminium, fertilizers, electricity and hydrogen. As the European Union considers extending the CBAM to chemicals by 2030, its effectiveness in this complex industry remains uncertain. Here we assess how well the CBAM would capture emissions in the chemical industry by u | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | |
Global hotspots of industrial chlorinated and brominated polycyclic aromatic hydrocarbon emissions | 10.1038/s41893-025-01666-x | https://doi.org/10.1038/s41893-025-01666-x | Nature Sustainability | 2,025 | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |||
Global industrial emissions of chlorinated and brominated polycyclic aromatic hydrocarbons | 10.1038/s41893-025-01656-z | https://doi.org/10.1038/s41893-025-01656-z | Nature Sustainability | 2,025 | Yang, Y.; Liu, Y.; Yu, Z.; Zhu, G.; Lin, B. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Effects of demand and recycling on the when and where of lithium extraction | 10.1038/s41893-025-01561-5 | https://doi.org/10.1038/s41893-025-01561-5 | Nature Sustainability | 2,025 | Busch, P.; Chen, Y.; Ogbonna, P.; Kendall, A. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Electrochemical lithium recycling from spent batteries with electricity generation | 10.1038/s41893-024-01505-5 | https://doi.org/10.1038/s41893-024-01505-5 | Nature Sustainability | 2,025 | Wang, W.; Liu, Z.; Zhu, Z.; Ma, Y.; Zhang, K. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Economic costs of wind erosion in the United States | 10.1038/s41893-024-01506-4 | https://doi.org/10.1038/s41893-024-01506-4 | Nature Sustainability | 2,025 | Feng, I.; Gill, T.; Van Pelt, R.; Webb, N.; Tong, D. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Price sensitivity to precipitation and water storage in California | 10.1038/s41893-025-01659-w | https://doi.org/10.1038/s41893-025-01659-w | Nature Sustainability | 2,025 | Turland, M.; Carter, C.; Gafarov, B.; Hilscher, J.; Jessoe, K. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Improved silicon solar cells by tuning angular response to solar trajectory | 10.1038/s41467-024-55681-1 | https://doi.org/10.1038/s41467-024-55681-1 | Nature Communications | 2,025 | Green, M.; Zhou, Z. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Quantifying the pyroelectric and photovoltaic coupling series of ferroelectric films | 10.1038/s41467-025-56233-x | https://doi.org/10.1038/s41467-025-56233-x | Nature Communications | 2,025 | Hu, C.; Liu, X.; Dan, H.; Guo, C.; Zhang, M. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
A pathway to coexistence of electroluminescence and photovoltaic conversion in organic devices | 10.1038/s41467-025-67332-0 | https://doi.org/10.1038/s41467-025-67332-0 | Nature Communications | 2,025 | Oono, T.; Aoki, Y.; Sasaki, T.; Shoji, H.; Okada, T. | Abstract
Achieving both high electroluminescence (EL) efficiency and power conversion efficiency (PCE) in a single organic device has long been considered difficult, since the design principles optimising one often compromise the other. In this study, we present a strategy employing multiple-resonance thermally activated delayed fluorescence materials with strong absorption and high emission efficiency, enabling coexistence of high EL and photovoltaic (PV) efficiencies. By prec | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Nonlinear photovoltaic effects in monolayer semiconductor and layered magnetic material hetero-interface with P- and T-symmetry broken system | 10.1038/s41467-025-58918-9 | https://doi.org/10.1038/s41467-025-58918-9 | Nature Communications | 2,025 | Asada, S.; Shinokita, K.; Watanabe, K.; Taniguchi, T.; Matsuda, K. | Abstract
Stacking two non-polar materials with different inversion- and rotational-symmetries shows unique nonlinear photovoltaic properties, with potential applications such as in next generation solar-cells. These nonlinear photocurrent properties could be further extended with broken time reversal symmetry present in magnetic materials, however, the combination of time reversal and rotation symmetry breaking has not been fully explored. Herein, we investigate the nonlinear photovolt | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Fast-switching dual-cathode electrochromic smart windows for year-round building energy savings | 10.1038/s41467-025-64962-2 | https://doi.org/10.1038/s41467-025-64962-2 | Nature Communications | 2,025 | Sun, F.; Pal, R.; Eom, S.; Choi, J.; Zhang, W. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Recyclable quasi-solid-state dynamic windows via reversible dual-metal electrodeposition for building energy modulation | 10.1038/s41467-025-66963-7 | https://doi.org/10.1038/s41467-025-66963-7 | Nature Communications | 2,025 | Xu, B.; Wu, W.; Zhang, Y.; Qiu, C.; Zhu, Y. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Assessment of carbon-abatement pricing to maximize the value of electrolytic hydrogen in emissions-intensive power sectors | 10.1038/s41467-025-62952-y | https://doi.org/10.1038/s41467-025-62952-y | Nature Communications | 2,025 | Okunlola, A.; Davis, M.; Kumar, A. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | ||
Emerging green steel markets surrounding the EU emissions trading system and carbon border adjustment mechanism | 10.1038/s41467-025-64440-9 | https://doi.org/10.1038/s41467-025-64440-9 | Nature Communications | 2,025 | Johnson, C.; Åhman, M.; Nilsson, L.; Li, Z. | Abstract
The global steel industry accounts for 8–10 % of global CO2 emissions and requires deep decarbonisation for achieving the targets set in the Paris Agreement. However, no low-emission primary steel production technology has yet been commercially feasible or deployed. Through analysing revisions and additions of European Union climate policy, we show that green hydrogen-based steelmaking in competitive locations achieves cost-competitiveness on the European market starting 2026. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Hydrogen & Fuel Cells | |
Uneven renewable energy supply constrains the decarbonization effects of excessively deployed hydrogen-based DRI technology | 10.1038/s41467-025-59730-1 | https://doi.org/10.1038/s41467-025-59730-1 | Nature Communications | 2,025 | Wang, Y.; Chen, C.; Tao, Y.; Wen, Z. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | ||
Global potential of sustainable single-cell protein based on variable renewable electricity | 10.1038/s41467-025-56364-1 | https://doi.org/10.1038/s41467-025-56364-1 | Nature Communications | 2,025 | Fasihi, M.; Jouzi, F.; Tervasmäki, P.; Vainikka, P.; Breyer, C. | Abstract
The environmental impacts of the food system exceed several planetary boundaries, with protein production being a major contributor. Single-Cell Protein (SCP) is a protein-rich microbial biomass that offers a sustainable alternative when derived from renewable energy and sustainable feedstocks. We evaluate the global potential for SCP production utilising electrolytic hydrogen and oxygen, atmospheric carbon dioxide and nitrogen, and hourly-optimised hybrid PV-wind power plants | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | |
CO-promoted polyethylene hydrogenolysis with renewable formic acid as hydrogen donor | 10.1038/s41467-025-63189-5 | https://doi.org/10.1038/s41467-025-63189-5 | Nature Communications | 2,025 | Wang, Y.; Hu, Q.; Qian, S.; Zhao, J.; Cheng, Y. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | ||
Solvent-regulable interfacial groups enable on-demand superhydrophobic/superhydrophilic silica aerogels | 10.1038/s41467-025-57246-2 | https://doi.org/10.1038/s41467-025-57246-2 | Nature Communications | 2,025 | Chen, L.; Li, L.; Zhang, X. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Wind & Other Renewables |
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UEX-CleanEnergyConversion
A curated hub for clean energy conversion technologies, including solar, wind, hydrogen, and energy storage.
📊 Overview
This hub contains 791 curated datasets, categorized by their specific research domains.
📂 Structure
UEX-CleanEnergyConversion_OpenDatasets.md: Human-readable database with direct links.data.json: Machine-readable structured data.References.bib: BibTeX citations for all included works.
🏷️ Refined Categories
| Category | Count | Core Focus |
|---|---|---|
| Solar Energy Conversion | 378 | Photovoltaics, thermal, and conversion efficiency. |
| Energy Storage & Batteries | 243 | Batteries, hydrogen, and thermal storage. |
| Hydrogen & Fuel Cells | 28 | Specialized research in this domain. |
| Wind & Other Renewables | 142 | Specialized research in this domain. |
🔗 Collection
This dataset is part of the UEX-CleanEnergyConversion Collection.
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