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A global perspective on urban thermal environment: From satellite data to sustainable development | 10.1016/j.crsus.2025.100522 | https://doi.org/10.1016/j.crsus.2025.100522 | Cell Reports Sustainability | 2,025 | Zhang, M. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | ||
Continuous assessment of the factors driving the urban surface thermal environment in 1,469 cities worldwide | 10.1016/j.crsus.2025.100463 | https://doi.org/10.1016/j.crsus.2025.100463 | Cell Reports Sustainability | 2,025 | Yang, J.; Ren, J.; Creutzig, F.; Zhao, B.; Sun, W. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | ||
Distributed hydrogen production: Aluminum-water reactions offer a pathway to scalable, low-carbon power | 10.1016/j.crsus.2025.100490 | https://doi.org/10.1016/j.crsus.2025.100490 | Cell Reports Sustainability | 2,025 | Trowell, K. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | ||
Assessing the value of coupling thermal energy storage with air source heat pumps for residential space heating in US cities | 10.1016/j.crsus.2025.100460 | https://doi.org/10.1016/j.crsus.2025.100460 | Cell Reports Sustainability | 2,025 | Pham, A.; Kinzer, B.; Jain, R.; Chandran, R.; Craig, M. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | ||
Cost-reducing adiabatic compressed air energy storage for long duration energy-storage applications | 10.1016/j.isci.2025.113967 | https://doi.org/10.1016/j.isci.2025.113967 | iScience | 2,025 | Yang, D.; Wang, Y.; Wang, J.; Rui, Z.; He, W. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Quantifying the accelerated diffusion and cost savings of global solar photovoltaic supply chains | 10.1016/j.isci.2024.111610 | https://doi.org/10.1016/j.isci.2024.111610 | iScience | 2,025 | Chen, Z.; Gu, B.; Yu, D.; Wang, C. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Diversifying the solar photovoltaic supply chain to secure Europe’s energy and climate roadmap and sovereignty | 10.1016/j.isci.2025.112751 | https://doi.org/10.1016/j.isci.2025.112751 | iScience | 2,025 | Evans, M.; Grand, P.; Dupuis, J. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Optimal bandgap of a single-junction photovoltaic cell for the mobile Internet-of-Things | 10.1016/j.isci.2024.111604 | https://doi.org/10.1016/j.isci.2024.111604 | iScience | 2,025 | Jarosz, G.; Signerski, R. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Energy advancements and integration strategies in hydrogen and battery storage for renewable energy systems | 10.1016/j.isci.2025.111945 | https://doi.org/10.1016/j.isci.2025.111945 | iScience | 2,025 | Gulraiz, A.; Al Bastaki, A.; Magamal, K.; Subhi, M.; Hammad, A. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Toward understanding the complexity of long-duration energy storage siting in high renewable power grids | 10.1016/j.isci.2025.112571 | https://doi.org/10.1016/j.isci.2025.112571 | iScience | 2,025 | Cole, D.; Dalvi, S.; Zavala, V.; Guerra, O. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Resonant inelastic X-ray scattering for studying materials for renewable energy conversion and storage | 10.1016/j.isci.2025.112820 | https://doi.org/10.1016/j.isci.2025.112820 | iScience | 2,025 | Hong, R.; Xing, L.; Wu, M.; Chen, Z.; Wang, N. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Using electricity tariffs and thermal comfort management to promote residential energy decarbonization | 10.1016/j.isci.2025.112631 | https://doi.org/10.1016/j.isci.2025.112631 | iScience | 2,025 | Vecchi, A.; Brear, M. | CrossRef | FLEXERGY | Time-of-Use Pricing & Peak Demand | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Adaptive singular spectral decomposition hybrid framework with quadratic error correction for wind power prediction | 10.1016/j.isci.2025.112360 | https://doi.org/10.1016/j.isci.2025.112360 | iScience | 2,025 | Mai, C.; Zhang, L.; Behar, O.; Hu, X.; Chao, X. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
A novel axial-type wind harvester design with zero-voltage-threshold mechanical rectifier | 10.1016/j.isci.2025.112737 | https://doi.org/10.1016/j.isci.2025.112737 | iScience | 2,025 | Lu, H.; Zhuo, J.; Liu, J.; Liu, W.; Dong, D. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Resource substitutability path for China’s energy storage between lithium and vanadium | 10.1016/j.isci.2025.112462 | https://doi.org/10.1016/j.isci.2025.112462 | iScience | 2,025 | Zhu, Y.; Ye, X.; Ali, S.; Dou, S.; Cheng, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Electrodeposition of manganese oxide and poly(s-triazine) composites for aqueous electrochemical energy storage | 10.1016/j.isci.2025.113406 | https://doi.org/10.1016/j.isci.2025.113406 | iScience | 2,025 | Pei, S.; Lan, B.; Bai, X.; Yi, X.; Sun, H. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Exploring irradiated granular flows with rapid heating for concentrated solar thermal energy collection and storage | 10.1016/j.isci.2025.112164 | https://doi.org/10.1016/j.isci.2025.112164 | iScience | 2,025 | Jeong, S.; Ranjan, D.; Zhang, Z.; Loutzenhiser, P. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
A photovoltaic-electrolysis system with high solar-to-hydrogen efficiency under practical current densities | 10.1126/sciadv.ads0836 | https://doi.org/10.1126/sciadv.ads0836 | Science Advances | 2,025 | Zhang, Q.; Shan, Y.; Pan, J.; Kumar, P.; Keevers, M. |
The photovoltaic-alkaline water (PV-AW) electrolysis system offers an appealing approach for large-scale green hydrogen generation. However, current PV-AW systems suffer from low solar-to-hydrogen (STH) conversion efficiencies (e.g., <20%) at practical current densities (e.g., >100 mA cm
−2
), rendering the produced H
2
not economical. Here, we designed and developed a highly efficient PV-AW system that mainly consists of a custo | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Ultrafast energy transfer beyond the Förster approximation in organic photovoltaic blends with non-fullerene acceptors | 10.1126/sciadv.adr5973 | https://doi.org/10.1126/sciadv.adr5973 | Science Advances | 2,025 | Ouyang, Y.; Wang, R.; Wang, X.; Xiao, M.; Zhang, C. | Recent studies on organic photovoltaic (OPV) systems have highlighted the critical role of energy transfer in excited-state dynamics. This process has traditionally been explained through the model of long-range Förster resonance energy transfer (FRET). In this study, we demonstrate a donor-to-acceptor short-range energy transfer (SRET) mechanism in OPV blends with non-fullerene acceptors, extending beyond the Förster approximation. This SRET occurs as a two-step process mediated by interfacial | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
The role of offshore wind and solar PV resources in global low-carbon transition | 10.1126/sciadv.adx5580 | https://doi.org/10.1126/sciadv.adx5580 | Science Advances | 2,025 | Wen, Y.; Wu, J.; Lin, P.; Low, Y. |
With challenges such as land availability and regulatory constraints, offshore renewable energy sector is poised to play a pivotal role in the transition to a low-carbon future. Among offshore technologies, wind and solar photovoltaic (PV) have emerged as the most promising solutions. However, a global assessment of offshore resources, particularly solar PV, remains lacking. Hence, we identify suitable areas for offshore wind and solar PV development on the basis of economic | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Soil carbon formation is promoted by saturation deficit and existing mineral-associated carbon, not by microbial carbon-use efficiency | 10.1126/sciadv.adv9482 | https://doi.org/10.1126/sciadv.adv9482 | Science Advances | 2,025 | King, A.; Sokol, N. | Mineral-associated organic carbon (MAOC) is the largest terrestrial pool of organic carbon, yet controls on its formation remain unresolved. Existing MAOC is thought to preclude additional C storage on minerals, but this perspective is difficult to reconcile with observations that MAOC stacks in multilayers, suggesting that existing MAOC could promote greater C retention. Here, in a manipulative experiment using 118 soils from 15 agricultural sites across the United States, we show that MAOC for | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Quantifying effects of solar power adoption on CO
<sub>2</sub>
emissions reduction | 10.1126/sciadv.adq5660 | https://doi.org/10.1126/sciadv.adq5660 | Science Advances | 2,025 | Biswas, A.; Qiu, M.; Braun, D.; Dominici, F.; Mork, D. |
We quantify the effect of solar power adoption in reducing carbon dioxide (CO
2
) emissions from the US electricity sector using 5 years of Energy Information Administration data, starting 1 July 2018. By tailoring a distributed lag statistical model, we estimate the immediate and time-lagged effects of increased solar generation on reducing CO
2
emissions within a region. Our analysis highlights how solar adoption in one region affect | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Spatiotemporal toughness modulation in hydrogels through on-demand cross-linking | 10.1126/sciadv.adz0440 | https://doi.org/10.1126/sciadv.adz0440 | Science Advances | 2,025 | Lee, J.; Castilho, R.; Nam, S. |
Tough hydrogels are promising for soft robotics, bioelectronics, and tissue adhesives due to their exceptional resilience and biocompatibility, yet precise spatiotemporal control of their mechanics remains challenging. Here, we present a hydrogel platform that enables spatiotemporal modulation of toughness through a latent ionic cross-linking mechanism. By embedding calcium carbonate (CaCO
3
) microparticles in alginate/polyacrylamide double-network hydrogels | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
Nanoseed-based physically unclonable function for on-demand encryption | 10.1126/sciadv.adt7527 | https://doi.org/10.1126/sciadv.adt7527 | Science Advances | 2,025 | Ahn, J.; Park, T.; Kang, T.; Im, S.; Seo, H. |
A physically unclonable function (PUF) is a promising hardware-based cryptographic primitive to prevent confidential information leakage. However, conventional techniques, such as weak and strong PUFs, have limitations in overcoming the trade-off between security and storage volume. This study introduces nanoseed-based PUFs that overcome the drawbacks of conventional PUFs using optical and electrical randomness originated from nanoseeds and a unique on-demand cryptographic algorithm | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Large-area radiation-modulated thermoelectric fabrics for high-performance thermal management and electricity generation | 10.1126/sciadv.adr2158 | https://doi.org/10.1126/sciadv.adr2158 | Science Advances | 2,025 | Liu, J.; Jiang, W.; Zhuo, S.; Rong, Y.; Li, Y. |
Flexible thermoelectric systems capable of converting human body heat or solar heat into sustainable electricity are crucial for the development of self-powered wearable electronics. However, challenges persist in maintaining a stable temperature gradient and enabling scalable fabrication for their commercialization. Herein, we present a facile approach involving the screen printing of large-scale carbon nanotube (CNT)–based thermoelectric arrays on conventional textile. These array | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Volcanic emission of reduced sulfur species shaped the climate of early Mars | 10.1126/sciadv.adr9635 | https://doi.org/10.1126/sciadv.adr9635 | Science Advances | 2,025 | Bellino, L.; Sun, C. |
Sulfur and other volatiles could be transported from the martian interior to surface through magmatic processes, including mantle melting, magma differentiation, and degassing. However, these processes were not fully integrated in past sulfur cycling models because of complexity from the gas-melt interactions in chemically and dynamically evolving magmatic systems with multicomponent volatiles. Here, we incorporate these processes to simulate how sulfur, carbon, and hydrogen degas f | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | |
Experimental characterization of complex atmospheric flows: A wind turbine wake case study | 10.1126/sciadv.adw8524 | https://doi.org/10.1126/sciadv.adw8524 | Science Advances | 2,025 | Angelou, N.; Sjöholm, M.; Mikkelsen, T. | Our current understanding of the interaction between the atmosphere and surface obstacles crucial for boundary-layer meteorology, forestry, urban climate, wind engineering, and wind energy is limited mainly to observations acquired in wind tunnel experiments and flow predictions from computational fluid dynamic models. Here, as a case study, we present spatially distributed measurements of a utility-scale wind turbine’s wake using three wind lidars that synchronously scan a volume of the atmosph | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
Sea surface warming and ocean-to-atmosphere feedback driven by large-scale offshore wind farms under seasonally stratified conditions | 10.1126/sciadv.adw7603 | https://doi.org/10.1126/sciadv.adw7603 | Science Advances | 2,025 | Seo, H.; Sauvage, C.; Renkl, C.; Lundquist, J.; Kirincich, A. | Offshore wind farms may induce changes in the upper ocean and near-surface atmosphere through coupled ocean-atmosphere feedbacks. Yet, the role of air-sea interactions mediated by offshore wind farms remains poorly understood. Using fully coupled ocean-atmosphere-wave model simulations for seasonally stratified conditions along the US East Coast, we show that simulated cumulative reductions in wind stress due to large-scale wind farm clusters lead to sea surface warming of 0.3° to 0.4°C and a sh | CrossRef | DigiEnergy | Renewable Energy Resource Mapping | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
Flash annealing–engineered wafer-scale relaxor antiferroelectrics for enhanced energy storage performance | 10.1126/sciadv.ady2349 | https://doi.org/10.1126/sciadv.ady2349 | Science Advances | 2,025 | Li, Y.; Song, K.; Zhu, M.; Li, X.; Zeng, Z. |
Dielectric capacitors are essential for energy storage systems because of their high-power density and fast operation speed. However, optimizing energy storage density with concurrent thermal stability remains a substantial challenge. Here, we develop a flash annealing process with ultrafast heating and cooling rates of 1000°C per second, which facilitates the rapid crystallization of PbZrO
3
film within a mere second, while locking it | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | |
<i>Ppp1r3b</i>
is a metabolic switch that shifts hepatic energy storage from lipid to glycogen | 10.1126/sciadv.ado3440 | https://doi.org/10.1126/sciadv.ado3440 | Science Advances | 2,025 | Creasy, K.; Mehta, M.; Schneider, C.; Park, J.; Zhang, D. |
The
PPP1R3B
gene, encoding PPP1R3B protein, is critical for liver glycogen synthesis and maintaining blood glucose levels. Genetic variants affecting
PPP1R3B
expression are associated with several metabolic traits and liver disease, but the precise mechanisms are not fully understood. We studied the effects of both
Ppp1r3b
overexpression and deletion in mic | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Atomic Sn–incorporated subnanopore-rich hard carbon host for highly reversible quasi-metallic Li storage | 10.1126/sciadv.ads6483 | https://doi.org/10.1126/sciadv.ads6483 | Science Advances | 2,025 | Jin, T.; Zhang, X.; Yuan, S.; Yu, L. |
The practical application of Li metal anodes has been hindered by severely irreversible side reactions for low Coulombic efficiency, uncontrollable growth of Li dendrites, and large volume change. Herein, we report subnanopore-rich carbon spheres encapsulated with Sn single atoms (Sn/CS@SC) as a Li host to address these challenges. Owing to the high Li affinity of Sn single atoms, Sn/CS@SC can promote storage of quasi-metallic Li within the inner void space other than direct plating | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
The potential of wastewater treatment on carbon storage through ocean alkalinity enhancement | 10.1126/sciadv.ads0313 | https://doi.org/10.1126/sciadv.ads0313 | Science Advances | 2,025 | Zheng, L.; Hu, Y.; Su, B.; Chen, Q.; Liu, J. |
Ocean alkalinity enhancement (OAE) implemented through wastewater treatment plants increases the alkalinity of the effluents and discharges them into the ocean, referred to as wastewater-based OAE. However, the alkalization capability and its carbon storage stability when adding alkaline minerals to wastewater treatment are uncertain. In this study, total alkalinity was enhanced to more than 10 millimoles per kilogram and phosphate removal was improved when we added olivine to waste | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Crustal to mantle melt storage during the evolution of Hawaiian volcanoes | 10.1126/sciadv.adu9332 | https://doi.org/10.1126/sciadv.adu9332 | Science Advances | 2,025 | Gazel, E.; Dayton, K.; Liang, W.; Hua, J.; Lynn, K. | As the Pacific Plate migrates over the mantle plume below Hawaiʻi, magma flux decreases, resulting in changes in eruptive volume, style, and composition. It is thought that melt storage becomes deeper and ephemeral with the transition from highly voluminous tholeiitic (shield stage) to the less voluminous alkaline (post-shield and rejuvenation stages) magmatism. To quantitatively test this, we applied high-precision fluid inclusion barometry via Raman spectroscopy to samples from representative | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Robust increase in observed heat storage by the global subsurface | 10.1126/sciadv.adw9958 | https://doi.org/10.1126/sciadv.adw9958 | Science Advances | 2,025 | Cuesta-Valero, F.; García-García, A.; Beltrami, H.; García-Pereira, F.; González-Rouco, J. | Changes in heat storage within the different components of the climate system alter physical and biogeochemical phenomena relevant for human societies and ecosystems. Among such processes, permafrost thawing, soil carbon storage, and surface energy exchanges depend on the persistent heat gain by the continental subsurface. Nevertheless, there are not enough data to estimate ground heat storage at the global scale after the year 2000. We solve this problem by expanding the database of geothermal | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | |
A compact cassette tape for DNA-based data storage | 10.1126/sciadv.ady3406 | https://doi.org/10.1126/sciadv.ady3406 | Science Advances | 2,025 | Li, J.; Mao, C.; Wang, S.; Li, X.; Luo, X. |
DNA with high storage density can serve as an alternative storage medium to respond to the global explosion of data growth and become a powerful personal storage memory if an integrated compact device can store and handle large-scale data. Here, we incorporate a DNA cassette tape with 5.5 × 10
5
addressable data partitions (addressing rate up to 1570 partitions per second), a DNA loading capacity of 28.6 mg per kilometer, and deposit-many-recover-many (DMRM) | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Vectorized solar photovoltaic installation dataset across China in 2015 and 2020 | 10.1038/s41597-024-04356-z | https://doi.org/10.1038/s41597-024-04356-z | Scientific Data | 2,024 | Liu, J.; Wang, J.; Li, L. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
A Multi-Decadal Hourly Coincident Wind and Solar Power Production Dataset for the Contiguous United States | 10.1038/s41597-024-03894-w | https://doi.org/10.1038/s41597-024-03894-w | Scientific Data | 2,024 | Campbell, A.; Bracken, C.; Underwood, S.; Voisin, N. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
A high-resolution satellite-based solar-induced chlorophyll fluorescence dataset for China from 2000 to 2022 | 10.1038/s41597-024-04101-6 | https://doi.org/10.1038/s41597-024-04101-6 | Scientific Data | 2,024 | Tao, S.; Chen, J.; Zhang, Z.; Zhang, Y.; Ju, W. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Intra-Individual Paired Mass Spectrometry Dataset for Decoding Solar-Induced Proteomic Changes in Facial Skin | 10.1038/s41597-024-03231-1 | https://doi.org/10.1038/s41597-024-03231-1 | Scientific Data | 2,024 | Camillo-Andrade, A.; Santos, M.; Nuevo, P.; Lajas, A.; Sales, L. | AbstractPhotoaging is the premature aging of the skin caused by prolonged exposure to solar radiation. The visual alterations manifest as wrinkles, reduced skin elasticity, uneven skin tone, as well as other signs that surpass the expected outcomes of natural aging. Beyond these surface changes, there is a complex interplay of molecular alterations, encompassing shifts in cellular function, DNA damage, and protein composition disruptions. This data descriptor introduces a unique dataset derived | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
A thermosurvey dataset: Older adults’ experiences and adaptation to urban heat and climate change | 10.1038/s41597-024-03509-4 | https://doi.org/10.1038/s41597-024-03509-4 | Scientific Data | 2,024 | Jancewicz, B.; Wrotek, M. | AbstractWe introduce the thermosurvey dataset, a comprehensive collection focusing on the thermal comfort, heat-related experiences, health, socioeconomic status, and perceptions of older adults (aged 65 and over) in Warsaw and Madrid. The two cities differ greatly in their heat experiences, but due to climate change, both face increasing temperatures. The study aimed to understand how heat affects cities’ older adult population and how we can better adapt to rising temperatures. We call the stu | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Comprehensive Dataset on Electrical Load Profiles for Energy Community in Ireland | 10.1038/s41597-024-03454-2 | https://doi.org/10.1038/s41597-024-03454-2 | Scientific Data | 2,024 | Trivedi, R.; Bahloul, M.; Saif, A.; Patra, S.; Khadem, S. | AbstractThis paper describes a comprehensive energy-related dataset, collected from residential electricity households within an energy community in Ireland, as part of StoreNet project. The data includes local weather parameters and per household power (W) and energy (Wh) components for various aspects such as active power consumption, PV generation, grid import and export, charging and discharging, and the state of charge of energy storage. Additionally, it provides weather data for the locati | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | |
Wind turbine condition monitoring dataset of Fraunhofer LBF | 10.1038/s41597-024-03934-5 | https://doi.org/10.1038/s41597-024-03934-5 | Scientific Data | 2,024 | Mostafavi, A.; Friedmann, A. | AbstractFraunhofer wind turbine dataset contains monitoring data from a 750 W wind turbine, including accelerometers and tachometer, to capture structural response, bearing vibrations and rotational velocity. Additionally, temperatures, wind speed and wind direction have been measured, while weather conditions have been acquired from selected sources. Various damage scenarios, including mass imbalance, and aerodynamic imbalance as well as damages on bearings’ outer race, inner race and roller el | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
A dataset of global tropical cyclone wind and surface wave measurements from buoy and satellite platforms | 10.1038/s41597-024-02955-4 | https://doi.org/10.1038/s41597-024-02955-4 | Scientific Data | 2,024 | Tamizi, A.; Young, I. | AbstractThere are now a range of potential data sources for wind and surface wave conditions within tropical cyclones. These sources include: in situ buoy data and remote sensing data from satellite altimeters, scatterometers, and radiometers. In addition, data providing estimates of tropical cyclone tracks and wind field parameters are available from best track archives. The present dataset brings together this information in a single archive, providing the available data for each tropical cycl | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting over a Large Turbine Array | 10.1038/s41597-024-03427-5 | https://doi.org/10.1038/s41597-024-03427-5 | Scientific Data | 2,024 | Zhou, J.; Lu, X.; Xiao, Y.; Tang, J.; Su, J. | AbstractWind power is a clean and renewable energy, yet it poses integration challenges to the grid due to its variable nature. Thus, Wind Power Forecasting (WPF) is crucial for its successful integration. However, existing WPF datasets often cover only a limited number of turbines and lack detailed information. To bridge this gap and advance WPF research, we introduce the Spatial Dynamic Wind Power Forecasting dataset (SDWPF). The SDWPF dataset not only provides information on power generation | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Wind & Other Renewables | |
A global multi catchment and multi dataset synthesis for water fluxes and storage changes on land | 10.1038/s41597-024-04203-1 | https://doi.org/10.1038/s41597-024-04203-1 | Scientific Data | 2,024 | Zarei, M.; Destouni, G. | AbstractWater on land is essential for all societal, ecosystem, and planetary health aspects and conditions, and all life as we know it. Many disciplines consider and model similar terrestrial water phenomena and processes, but comparisons and consistent validations are lacking for the datasets used by various science communities for different world parts, scales, and applications. Here, we present a new global data synthesis that includes and harmonises four comparative datasets for main terres | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Energy Storage & Batteries | |
Remotely sensed above-ground storage tank dataset for object detection and infrastructure assessment | 10.1038/s41597-023-02780-1 | https://doi.org/10.1038/s41597-023-02780-1 | Scientific Data | 2,024 | Robinson, C.; Bradbury, K.; Borsuk, M. | AbstractRemotely sensed imagery has increased dramatically in quantity and public availability. However, automated, large-scale analysis of such imagery is hindered by a lack of the annotations necessary to train and test machine learning algorithms. In this study, we address this shortcoming with respect to above-ground storage tanks (ASTs) that are used in a wide variety of industries. We annotated available high-resolution, remotely sensed imagery to develop an original, publicly available mu | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Combining photovoltaic elements | 10.1038/s41560-024-01647-y | https://doi.org/10.1038/s41560-024-01647-y | Nature Energy | 2,024 | Tregnago, G. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Community solar reaches adopters underserved by rooftop solar | 10.1038/s41560-024-01575-x | https://doi.org/10.1038/s41560-024-01575-x | Nature Energy | 2,024 | O’Shaughnessy, E.; Barbose, G.; Kannan, S.; Sumner, J. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Self-cleaning solar evaporation | 10.1038/s41560-024-01594-8 | https://doi.org/10.1038/s41560-024-01594-8 | Nature Energy | 2,024 | Zhang, C. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Ultralightweight perovskite solar cells for use in drones | 10.1038/s41560-024-01504-y | https://doi.org/10.1038/s41560-024-01504-y | Nature Energy | 2,024 | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |||
Assessing the emissions impact of grid-connected hydrogen production | 10.1038/s41560-023-01445-y | https://doi.org/10.1038/s41560-023-01445-y | Nature Energy | 2,024 | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | |||
Exploring the cost and emissions impacts, feasibility and scalability of battery electric ships | 10.1038/s41560-024-01655-y | https://doi.org/10.1038/s41560-024-01655-y | Nature Energy | 2,024 | Moon, H.; Park, W.; Hendrickson, T.; Phadke, A.; Popovich, N. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
The influence of additionality and time-matching requirements on the emissions from grid-connected hydrogen production | 10.1038/s41560-023-01435-0 | https://doi.org/10.1038/s41560-023-01435-0 | Nature Energy | 2,024 | Giovanniello, M.; Cybulsky, A.; Schittekatte, T.; Mallapragada, D. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | ||
Worldwide greenhouse gas emissions of green hydrogen production and transport | 10.1038/s41560-024-01563-1 | https://doi.org/10.1038/s41560-024-01563-1 | Nature Energy | 2,024 | de Kleijne, K.; Huijbregts, M.; Knobloch, F.; van Zelm, R.; Hilbers, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | ||
Publisher Correction: The influence of additionality and time-matching requirements on the emissions from grid-connected hydrogen production | 10.1038/s41560-024-01475-0 | https://doi.org/10.1038/s41560-024-01475-0 | Nature Energy | 2,024 | Giovanniello, M.; Cybulsky, A.; Schittekatte, T.; Mallapragada, D. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | ||
Weather conditions linked to energy droughts in electricity systems with hydropower | 10.1038/s41560-024-01641-4 | https://doi.org/10.1038/s41560-024-01641-4 | Nature Energy | 2,024 | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |||
The role of flexible geothermal power in decarbonized electricity systems | 10.1038/s41560-023-01437-y | https://doi.org/10.1038/s41560-023-01437-y | Nature Energy | 2,024 | Ricks, W.; Voller, K.; Galban, G.; Norbeck, J.; Jenkins, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | ||
A geographically disaggregated approach to integrate low-carbon technologies across local electricity networks | 10.1038/s41560-024-01542-6 | https://doi.org/10.1038/s41560-024-01542-6 | Nature Energy | 2,024 | Few, S.; Djapic, P.; Strbac, G.; Nelson, J.; Candelise, C. | Abstract
Meeting climate targets requires widespread deployment of low-carbon technologies such as distributed photovoltaics, heat pumps and electric vehicles. Without mitigating actions, changing power flows associated with these technologies would adversely impact some local networks. The extent of these impacts, and the optimal means of avoiding them, remains unclear. Here we use local-level data and network simulation to estimate variation in future network upgrade costs in | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Increasing the resilience of the Texas power grid against extreme storms by hardening critical lines | 10.1038/s41560-023-01434-1 | https://doi.org/10.1038/s41560-023-01434-1 | Nature Energy | 2,024 | Stürmer, J.; Plietzsch, A.; Vogt, T.; Hellmann, F.; Kurths, J. | AbstractThe Texas power grid on the Gulf Coast of the United States is frequently hit by tropical cyclones (TCs) causing widespread power outages, a risk that is expected to substantially increase under global warming. Here we introduce a new approach that combines a probabilistic line failure model with a network model of the Texas grid to simulate the spatio-temporal co-evolution of wind-induced failures of high-voltage transmission lines and the resulting cascading power outages from seven ma | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
US industrial policy may reduce electric vehicle battery supply chain vulnerabilities and influence technology choice | 10.1038/s41560-024-01649-w | https://doi.org/10.1038/s41560-024-01649-w | Nature Energy | 2,024 | Cheng, A.; Fuchs, E.; Michalek, J. | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Energy Storage & Batteries | ||
Industry needs for practical lithium-metal battery designs in electric vehicles | 10.1038/s41560-024-01624-5 | https://doi.org/10.1038/s41560-024-01624-5 | Nature Energy | 2,024 | He, M.; Hector, L.; Dai, F.; Xu, F.; Kolluri, S. | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Energy Storage & Batteries | ||
Wind power and solar photovoltaics found to have higher energy returns than fossil fuels | 10.1038/s41560-024-01520-y | https://doi.org/10.1038/s41560-024-01520-y | Nature Energy | 2,024 | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |||
A wind of change in sustainability | 10.1038/s41560-024-01666-9 | https://doi.org/10.1038/s41560-024-01666-9 | Nature Energy | 2,024 | Guo, Y.; Miao, X. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Economic potential of wind and solar in American Indian communities | 10.1038/s41560-024-01617-4 | https://doi.org/10.1038/s41560-024-01617-4 | Nature Energy | 2,024 | Parker, D.; Johnston, S.; Leonard, B.; Stewart, D.; Winikoff, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Artificial intelligence-aided wind plant optimization for nationwide evaluation of land use and economic benefits of wake steering | 10.1038/s41560-024-01516-8 | https://doi.org/10.1038/s41560-024-01516-8 | Nature Energy | 2,024 | Harrison-Atlas, D.; Glaws, A.; King, R.; Lantz, E. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Capacity estimation of home storage systems using field data | 10.1038/s41560-024-01662-z | https://doi.org/10.1038/s41560-024-01662-z | Nature Energy | 2,024 | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |||
Sub-nano fillers for high-temperature storage | 10.1038/s41560-023-01446-x | https://doi.org/10.1038/s41560-023-01446-x | Nature Energy | 2,024 | Singh, M.; Tiwary, S.; Karim, A. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Vertical iontronic energy storage based on osmotic effects and electrode redox reactions | 10.1038/s41560-023-01431-4 | https://doi.org/10.1038/s41560-023-01431-4 | Nature Energy | 2,024 | Yang, F.; Peng, P.; Yan, Z.; Fan, H.; Li, X. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Hydrogen storage and geo-methanation in a depleted underground hydrocarbon reservoir | 10.1038/s41560-024-01458-1 | https://doi.org/10.1038/s41560-024-01458-1 | Nature Energy | 2,024 | Hellerschmied, C.; Schritter, J.; Waldmann, N.; Zaduryan, A.; Rachbauer, L. | AbstractCoupling of power-to-gas processes with underground gas storage could effectively allow surplus electricity to be stored for later use. Depleted hydrocarbon reservoirs could be used as stores, but practical experience of hydrogen storage in such sites is limited. Here we present data from a field trial that stored 119,353 m3 of hydrogen admixed to natural gas in a depleted hydrocarbon reservoir. After 285 days, hydrogen recovery was 84.3%, indicating the process’s technical feasibility. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Multi-year field measurements of home storage systems and their use in capacity estimation | 10.1038/s41560-024-01620-9 | https://doi.org/10.1038/s41560-024-01620-9 | Nature Energy | 2,024 | Figgener, J.; van Ouwerkerk, J.; Haberschusz, D.; Bors, J.; Woerner, P. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Machine learning-accelerated discovery of heat-resistant polysulfates for electrostatic energy storage | 10.1038/s41560-024-01670-z | https://doi.org/10.1038/s41560-024-01670-z | Nature Energy | 2,024 | Li, H.; Zheng, H.; Yue, T.; Xie, Z.; Yu, S. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Large-scale spatially explicit analysis of carbon capture at cellulosic biorefineries | 10.1038/s41560-024-01532-8 | https://doi.org/10.1038/s41560-024-01532-8 | Nature Energy | 2,024 | O’Neill, E.; Geissler, C.; Maravelias, C. | AbstractThe large-scale production of cellulosic biofuels would involve spatially distributed systems including biomass fields, logistics networks and biorefineries. Better understanding of the interactions between landscape-related decisions and the design of biorefineries with carbon capture and storage (CCS) in a supply chain context is needed to enable efficient systems. Here we analyse the cost and greenhouse gas mitigation potential for cellulosic biofuel supply chains in the US Midwest us | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Energy Storage & Batteries | |
Geospatial variation in carbon accounting of hydrogen production and implications for the US Inflation Reduction Act | 10.1038/s41560-024-01653-0 | https://doi.org/10.1038/s41560-024-01653-0 | Nature Energy | 2,024 | Vallejo, V.; Nguyen, Q.; Ravikumar, A. | CrossRef | EnergiTrade | Carbon Asset Management | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | ||
Author Correction: Global scenarios for significant water use reduction in thermal power plants based on cooling water demand estimation using satellite imagery | 10.1038/s41560-024-01700-w | https://doi.org/10.1038/s41560-024-01700-w | Nature Energy | 2,024 | Lohrmann, A.; Farfan, J.; Caldera, U.; Lohrmann, C.; Breyer, C. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | ||
Rethinking energy planning to mitigate the impacts of African hydropower | 10.1038/s41893-024-01367-x | https://doi.org/10.1038/s41893-024-01367-x | Nature Sustainability | 2,024 | Carlino, A.; Schmitt, R.; Clark, A.; Castelletti, A. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Large-scale green grabbing for wind and solar photovoltaic development in Brazil | 10.1038/s41893-024-01346-2 | https://doi.org/10.1038/s41893-024-01346-2 | Nature Sustainability | 2,024 | Klingler, M.; Ameli, N.; Rickman, J.; Schmidt, J. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Molecular engineering of renewable cellulose biopolymers for solid-state battery electrolytes | 10.1038/s41893-024-01414-7 | https://doi.org/10.1038/s41893-024-01414-7 | Nature Sustainability | 2,024 | Li, J.; Hu, Z.; Zhang, S.; Zhang, H.; Guo, S. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Tri-band electrochromic smart window for energy savings in buildings | 10.1038/s41893-024-01349-z | https://doi.org/10.1038/s41893-024-01349-z | Nature Sustainability | 2,024 | Shao, Z.; Huang, A.; Cao, C.; Ji, X.; Hu, W. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Offsetting the greenhouse gas footprint of hydropower with floating solar photovoltaics | 10.1038/s41893-024-01384-w | https://doi.org/10.1038/s41893-024-01384-w | Nature Sustainability | 2,024 | Almeida, R.; Chowdhury, A.; Rodrigo, H.; Li, M.; Schmitt, R. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Accurate nowcasting of cloud cover at solar photovoltaic plants using geostationary satellite images | 10.1038/s41467-023-44666-1 | https://doi.org/10.1038/s41467-023-44666-1 | Nature Communications | 2,024 | Xia, P.; Zhang, L.; Min, M.; Li, J.; Wang, Y. | Abstract
Accurate nowcasting for cloud fraction is still intractable challenge for stable solar photovoltaic electricity generation. By combining continuous radiance images measured by geostationary satellite and an advanced recurrent neural network, we develop a nowcasting algorithm for predicting cloud fraction at the leading time of 0–4 h at photovoltaic plants. Based on this algorithm, a cyclically updated prediction system is also established and tested at five photovoltai | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Transparent integrated pyroelectric-photovoltaic structure for photo-thermo hybrid power generation | 10.1038/s41467-024-47483-2 | https://doi.org/10.1038/s41467-024-47483-2 | Nature Communications | 2,024 | Patel, M.; Park, H.; Bhatnagar, P.; Kumar, N.; Lee, J. | AbstractThermal losses in photoelectric devices limit their energy conversion efficiency, and cyclic input of energy coupled with pyroelectricity can overcome this limit. Here, incorporating a pyroelectric absorber into a photovoltaic heterostructure device enables efficient electricity generation by leveraging spontaneous polarization based on pulsed light-induced thermal changes. The proposed pyroelectric-photovoltaic device outperforms traditional photovoltaic devices by 2.5 times due to the | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Giant intrinsic photovoltaic effect in one-dimensional van der Waals grain boundaries | 10.1038/s41467-024-44792-4 | https://doi.org/10.1038/s41467-024-44792-4 | Nature Communications | 2,024 | Zhou, Y.; Zhou, X.; Yu, X.; Liang, Z.; Zhao, X. | AbstractThe photovoltaic effect lies at the heart of eco-friendly energy harvesting. However, the conversion efficiency of traditional photovoltaic effect utilizing the built-in electric effect in p-n junctions is restricted by the Shockley-Queisser limit. Alternatively, intrinsic/bulk photovoltaic effect (IPVE/BPVE), a second-order nonlinear optoelectronic effect arising from the broken inversion symmetry of crystalline structure, can overcome this theoretical limit. Here, we uncover giant and | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Switchable unidirectional emissions from hydrogel gratings with integrated carbon quantum dots | 10.1038/s41467-024-45284-1 | https://doi.org/10.1038/s41467-024-45284-1 | Nature Communications | 2,024 | Dai, C.; Wan, S.; Li, Z.; Shi, Y.; Zhang, S. | AbstractDirectional emission of photoluminescence despite its incoherence is an attractive technique for light-emitting fields and nanophotonics. Optical metasurfaces provide a promising route for wavefront engineering at the subwavelength scale, enabling the feasibility of unidirectional emission. However, current directional emission strategies are mostly based on static metasurfaces, and it remains a challenge to achieve unidirectional emissions tuning with high performance. Here, we demonstr | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
Quantifying benefits of renewable investments for German residential Prosumers in times of volatile energy markets | 10.1038/s41467-024-51967-6 | https://doi.org/10.1038/s41467-024-51967-6 | Nature Communications | 2,024 | van Ouwerkerk, J.; Celi Cortés, M.; Nsir, N.; Gong, J.; Figgener, J. | Abstract
The COVID-19 pandemic and the Russian invasion of Ukraine have led to unseen disruptions in the global energy markets since the end of 2021. Residential renewable investments like photovoltaic systems, battery home storage systems, and heat pumps are therefore gaining traction. However, the benefits of those technologies during the energy crisis and beyond have not been fully quantified yet. Therefore, in this study, we benchmark renewable investme | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Household alternating current electricity plug-and-play quantum-dot light-emitting diodes | 10.1038/s41467-024-47891-4 | https://doi.org/10.1038/s41467-024-47891-4 | Nature Communications | 2,024 | Wang, J.; Yuan, C.; Chen, S. | AbstractAs an intrinsically direct current device, quantum-dot LED cannot be directly driven by household alternating current electricity. Thus, a driver circuit is required, which increases the complexity and cost. Here, by using a transparent and conductive indium-zinc-oxide as an intermediate electrode, we develop a tandem quantum-dot LED that can be operated at both negative and positive alternating current cycles with an external quantum efficiency of 20.09% and 21.15%, respectively. Furthe | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
An electricity-driven mobility circular economy with lifecycle carbon footprints for climate-adaptive carbon neutrality transformation | 10.1038/s41467-024-49868-9 | https://doi.org/10.1038/s41467-024-49868-9 | Nature Communications | 2,024 | Song, A.; Dan, Z.; Zheng, S.; Zhou, Y. | AbstractUnder the carbon neutrality targets and sustainable development goals, emergingly increasing needs for batteries are in buildings and electric vehicles. However, embodied carbon emissions impose dialectical viewpoints on whether the electrochemical battery is environmentally friendly or not. In this research, a community with energy paradigm shifting towards decentralization, renewable and sustainability is studied, with multi-directional Vehicle-to-Everything (V2X) and lifecycle battery | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Energy Storage & Batteries | |
Future hydrogen economies imply environmental trade-offs and a supply-demand mismatch | 10.1038/s41467-024-51251-7 | https://doi.org/10.1038/s41467-024-51251-7 | Nature Communications | 2,024 | Terlouw, T.; Rosa, L.; Bauer, C.; McKenna, R. | AbstractHydrogen will play a key role in decarbonizing economies. Here, we quantify the costs and environmental impacts of possible large-scale hydrogen economies, using four prospective hydrogen demand scenarios for 2050 ranging from 111–614 megatonne H2 year−1. Our findings confirm that renewable (solar photovoltaic and wind) electrolytic hydrogen production generates at least 50–90% fewer greenhouse gas emissions than fossil-fuel-based counterparts without carbon capture and storage. However, | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
On the potential of vehicle-to-grid and second-life batteries to provide energy and material security | 10.1038/s41467-024-48554-0 | https://doi.org/10.1038/s41467-024-48554-0 | Nature Communications | 2,024 | Aguilar Lopez, F.; Lauinger, D.; Vuille, F.; Müller, D. | AbstractThe global energy transition relies increasingly on lithium-ion batteries for electric transportation and renewable energy integration. Given the highly concentrated supply chain of battery materials, importing regions have a strategic imperative to reduce their reliance on battery material imports through, e.g., battery recycling or reuse. We investigate the potential of vehicle-to-grid and second-life batteries to reduce resource use by displacing new stationary batteries dedicated to | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Energy Storage & Batteries | |
The value of long-duration energy storage under various grid conditions in a zero-emissions future | 10.1038/s41467-024-53274-6 | https://doi.org/10.1038/s41467-024-53274-6 | Nature Communications | 2,024 | Staadecker, M.; Szinai, J.; Sánchez-Pérez, P.; Kurtz, S.; Hidalgo-Gonzalez, P. | Abstract
Long-duration energy storage (LDES) is a key resource in enabling zero-emissions electricity grids but its role within different types of grids is not well understood. Using the Switch capacity expansion model, we model a zero-emissions Western Interconnect with high geographical resolution to understand the value of LDES under 39 scenarios with different generation mixes, transmission expansion, storage costs, and storage mandates. We find that a) | CrossRef | DigiEnergy | Renewable Energy Simulation Tools | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Electric vehicle battery chemistry affects supply chain disruption vulnerabilities | 10.1038/s41467-024-46418-1 | https://doi.org/10.1038/s41467-024-46418-1 | Nature Communications | 2,024 | Cheng, A.; Fuchs, E.; Karplus, V.; Michalek, J. | Abstract
We examine the relationship between electric vehicle battery chemistry and supply chain disruption vulnerability for four critical minerals: lithium, cobalt, nickel, and manganese. We compare the nickel manganese cobalt (NMC) and lithium iron phosphate (LFP) cathode chemistries by (1) mapping the supply chains for these four materials, (2) calculating a vulnerability index for each cathode chemistry for various focal countries and (3) using network flow optimization to bound u | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Energy Storage & Batteries | |
Comparing costs and climate impacts of various electric vehicle charging systems across the United States | 10.1038/s41467-024-49157-5 | https://doi.org/10.1038/s41467-024-49157-5 | Nature Communications | 2,024 | Horesh, N.; Trinko, D.; Quinn, J. | AbstractThe seamless adoption of electric vehicles (EVs) in the United States necessitates the development of extensive and effective charging infrastructure. Various charging systems have been proposed, including Direct Current Fast Charging, Battery Swapping, and Dynamic Wireless Power Transfer. While many studies have evaluated the charging costs and greenhouse gas (GHG) intensity of EVs, a comprehensive analysis comparing these systems and their implications across vehicle categories remains | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Energy Storage & Batteries | |
Offshore wind and wave energy can reduce total installed capacity required in zero-emissions grids | 10.1038/s41467-024-50040-6 | https://doi.org/10.1038/s41467-024-50040-6 | Nature Communications | 2,024 | Gonzalez, N.; Serna-Torre, P.; Sánchez-Pérez, P.; Davidson, R.; Murray, B. | Abstract
As the world races to decarbonize power systems to mitigate climate change, the body of research analyzing paths to zero emissions electricity grids has substantially grown. Although studies typically include commercially available technologies, few of them consider offshore wind and wave energy as contenders in future zero-emissions grids. Here, we model with high geographic resolution both offshore wind and wave energy as independent technologies with the possibility | CrossRef | DigiEnergy | Renewable Energy Resource Mapping | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
Public agreement with misinformation about wind farms | 10.1038/s41467-024-53278-2 | https://doi.org/10.1038/s41467-024-53278-2 | Nature Communications | 2,024 | Winter, K.; Hornsey, M.; Pummerer, L.; Sassenberg, K. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Optimal blade pitch control for enhanced vertical-axis wind turbine performance | 10.1038/s41467-024-46988-0 | https://doi.org/10.1038/s41467-024-46988-0 | Nature Communications | 2,024 | Le Fouest, S.; Mulleners, K. | Abstract
Vertical-axis wind turbines are great candidates to enable wind power extraction in urban and off-shore applications. Currently, concerns around turbine efficiency and structural integrity limit their industrial deployment. Flow control can mitigate these concerns. Here, we experimentally demonstrate the potential of individual blade pitching as a control strategy and explain the flow physics that yields the performance enhancement. We perform automated experiments usi | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
Micromachined structures decoupling Joule heating and electron wind force | 10.1038/s41467-024-50351-8 | https://doi.org/10.1038/s41467-024-50351-8 | Nature Communications | 2,024 | Gu, S.; Kimura, Y.; Yan, X.; Liu, C.; Cui, Y. | AbstractMicrostructural changes in conductive materials induced by electric current treatments, such as electromigration and electroplasticity, are critical in semiconductor and metal processing. However, owing to the inevitable thermal effect (Joule heating), the athermal effect on microstructural modifications remains obscure. This paper presents an approach of utilizing pre-micromachined structures, which obstruct current flow but maintain a thermal history similar to that of the matrix, effe | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | |
Competing effects of wind and buoyancy forcing on ocean oxygen trends in recent decades | 10.1038/s41467-024-53557-y | https://doi.org/10.1038/s41467-024-53557-y | Nature Communications | 2,024 | Hollitzer, H.; Patara, L.; Terhaar, J.; Oschlies, A. | Abstract
Ocean deoxygenation is becoming a major stressor for marine ecosystems due to anthropogenic climate change. Two major pathways through which climate change affects ocean oxygen are changes in wind fields and changes in air-sea heat and freshwater fluxes. Here, we use a global ocean biogeochemistry model run under historical atmospheric forcing to show that wind stress is the dominant driver of year-to-year oxygen variability in most ocean regions. Only in areas of wate | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
Historical changes in wind-driven ocean circulation drive pattern of Pacific warming | 10.1038/s41467-024-45677-2 | https://doi.org/10.1038/s41467-024-45677-2 | Nature Communications | 2,024 | Fu, S.; Hu, S.; Zheng, X.; McMonigal, K.; Larson, S. | Abstract
The tropical Pacific warming pattern since the 1950s exhibits two warming centers in the western Pacific (WP) and eastern Pacific (EP), encompassing an equatorial central Pacific (CP) cooling and a hemispheric asymmetry in the subtropical EP. The underlying mechanisms of this warming pattern remain debated. Here, we conduct ocean heat decompositions of two coupled model large ensembles to unfold the role of wind-driven ocean circulation. When wind changes are suppresse | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
Enhanced continuous atmospheric water harvesting with scalable hygroscopic gel driven by natural sunlight and wind | 10.1038/s41467-024-52137-4 | https://doi.org/10.1038/s41467-024-52137-4 | Nature Communications | 2,024 | Yang, X.; Chen, Z.; Xiang, C.; Shan, H.; Wang, R. | CrossRef | CleanTech | Zero-Energy Water Supply | Novel Low/Zero Carbon Technologies | Wind & Other Renewables | ||
Future sea ice weakening amplifies wind-driven trends in surface stress and Arctic Ocean spin-up | 10.1038/s41467-024-50874-0 | https://doi.org/10.1038/s41467-024-50874-0 | Nature Communications | 2,024 | Muilwijk, M.; Hattermann, T.; Martin, T.; Granskog, M. | AbstractArctic sea ice mediates atmosphere-ocean momentum transfer, which drives upper ocean circulation. How Arctic Ocean surface stress and velocity respond to sea ice decline and changing winds under global warming is unclear. Here we show that state-of-the-art climate models consistently predict an increase in future (2015–2100) ocean surface stress in response to increased surface wind speed, declining sea ice area, and a weaker ice pack. While wind speeds increase most during fall (+2.2% p | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
Author Correction: Historical changes in wind-driven ocean circulation drive pattern of Pacific warming | 10.1038/s41467-024-48299-w | https://doi.org/10.1038/s41467-024-48299-w | Nature Communications | 2,024 | Fu, S.; Hu, S.; Zheng, X.; McMonigal, K.; Larson, S. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables |
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