Datasets:

UEXdo
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UEX-MT-OpenDataHub

title stringlengths 17 177	doi stringlengths 22 28	url stringlengths 38 44	journal stringclasses 13 values	year int64 2.02k 2.03k	authors stringlengths 0 81	abstract stringlengths 0 500	source stringclasses 1 value	direction stringclasses 4 values	subcategory stringclasses 13 values	direction_label stringclasses 4 values	refined_category stringclasses 4 values
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	Policy & Social Factors
An electronic product carbon footprint dataset for question answering	10.1038/s41597-026-06544-5	https://doi.org/10.1038/s41597-026-06544-5	Scientific Data	2,026	Zhao, K.; Koyatan Chathoth, A.; Balaji, B.; Lee, S.	Abstract The embodied carbon of computing systems constitutes a significant portion of their greenhouse gas (GHG) emissions. To support environmental initiatives and meet evolving standards, many companies now disclose product carbon footprints in sustainability reports, often with detailed breakdowns. Yet these reports appear in diverse and unstructured formats—text, tables, and graphs embedded in PDFs—creating major challenges for extracting and analyzing component-specific e	CrossRef	DigiEnergy	Load Forecasting & Demand Management	Carbon Trading & New Business Models	LCA & Sustainability
Carbon footprint dataset of concrete based on field surveys at commercial mixing plants in Shandong, China	10.1038/s41597-026-06789-0	https://doi.org/10.1038/s41597-026-06789-0	Scientific Data	2,026	Niu, D.; Zhou, J.; Guo, B.	Abstract Carbon dioxide (CO 2 ) emissions from concrete have grown rapidly, ranking second after the power sector. Current emission factors often overlook regional heterogeneity. To bridge this knowledge gap, this study takes Shandong Province, a typical region in China, as a case study. Considering the difference in geography, history, culture, and economic development, Shandong is divided into five subregions: Easte	CrossRef	DigiEnergy	Load Forecasting & Demand Management	Carbon Trading & New Business Models	Policy & Social Factors
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	Policy & Social Factors
Collaboration can secure carbon capture’s future	10.1038/s41560-025-01916-4	https://doi.org/10.1038/s41560-025-01916-4	Nature Energy	2,026	Wilcox, J.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	Novel Low/Zero Carbon Technologies	Carbon Capture & Storage
Global gridded dataset of heating and cooling degree days under climate change scenarios	10.1038/s41893-025-01754-y	https://doi.org/10.1038/s41893-025-01754-y	Nature Sustainability	2,026	Lizana, J.; Miranda, N.; Sparrow, S.; Wallom, D.; Khosla, R.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Climate Mitigation
Carbon sequestration for geological negative emissions of the shale gas value chain in China	10.1038/s41467-026-68829-y	https://doi.org/10.1038/s41467-026-68829-y	Nature Communications	2,026	Hong, P.; Guo, M.; Liang, S.; Shi, W.; Li, Y.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	Novel Low/Zero Carbon Technologies	Carbon Capture & Storage
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	LCA & Sustainability
Aligning EU energy security and climate mitigation through targeted transition strategies	10.1038/s41467-025-67595-7	https://doi.org/10.1038/s41467-025-67595-7	Nature Communications	2,026	Lal, A.; Tavoni, M.; Preuss, N.; You, F.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Climate Mitigation
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	Policy & Social Factors
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	Policy & Social Factors
Optimized economic scheduling of demand response in integrated energy systems considering dynamic energy efficiency and dynamic carbon trading	10.1038/s41598-025-33497-3	https://doi.org/10.1038/s41598-025-33497-3	Scientific Reports	2,026	Mao, H.; Deng, Q.; Zhang, Z.; Yang, X.		CrossRef	EnergiTrade	Energy & Carbon Trading	Demand Response & New Mobilities & Urban Planning	Policy & Social Factors
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	Climate Mitigation
Democratizing life cycle assessment by developing a streamlined model of greenhouse gas emissions from US natural gas supply chains	10.1016/j.crsus.2025.100554	https://doi.org/10.1016/j.crsus.2025.100554	Cell Reports Sustainability	2,026	Srikanth, A.; Ramesh, S.; Heath, G.; Jordaan, S.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	LCA & Sustainability
Aligning circular economy and low-carbon economy for a sustainable built environment	10.1016/j.crsus.2025.100609	https://doi.org/10.1016/j.crsus.2025.100609	Cell Reports Sustainability	2,026	Zhang, C.; Behrens, P.; Myers, R.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	LCA & Sustainability
Heterogeneous impacts of fear and policy on building energy use during COVID-19 in South Korea	10.1016/j.isci.2025.114479	https://doi.org/10.1016/j.isci.2025.114479	iScience	2,026	Yoo, J.; Kim, D.; Kim, M.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
Unpacking the growth of global agricultural greenhouse gas emissions	10.1126/sciadv.aeb8653	https://doi.org/10.1126/sciadv.aeb8653	Science Advances	2,026	Ortiz-Bobea, A.; Pieralli, S.	Agriculture, forestry, and other land use contribute about a fifth of total anthropogenic greenhouse gas (GHG) emissions. Mitigation efforts have emphasized “decoupling” that sustains production while lowering emissions per unit of output. However, the underlying decoupling mechanisms have not been fully characterized. We rely on a mathematical identity to decompose agricultural GHG emission growth (	CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
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	Climate Mitigation
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	Climate Mitigation
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	Policy & Social Factors
A dataset of structural breaks in greenhouse gas emissions for climate policy evaluation	10.1038/s41597-024-04321-w	https://doi.org/10.1038/s41597-024-04321-w	Scientific Data	2,025	Tebecis, T.; Crespo Cuaresma, J.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
Vulcan version 4.0 high-resolution annual carbon dioxide emissions in the U.S. for the 2010–2022 time period	10.1038/s41597-025-06391-w	https://doi.org/10.1038/s41597-025-06391-w	Scientific Data	2,025	Gurney, K.; Dass, P.; Kato, A.; Gawuc, L.; Aslam, B.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	LCA & Sustainability
Disaggregated Municipal Energy Consumption and Emissions in End-use Sectors in Germany and Spain for 2022	10.1038/s41597-025-05938-1	https://doi.org/10.1038/s41597-025-05938-1	Scientific Data	2,025	Patil, S.; Pflugradt, N.; Weinand, J.; Kropp, J.; Stolten, D.	Abstract Sectorally-detailed municipal energy consumption and emissions datasets are crucial for localized policy-making, resource allocation, and climate action planning. While some large municipalities develop bottom-up inventories, smaller ones often lack the capacity to do so. Existing studies have spatially disaggregated national totals, yet no dataset to date provides both energy consumption and emissions data across multiple sectors at the municipal level. This study addresses t	CrossRef	DigiEnergy	Load Forecasting & Demand Management	Carbon Trading & New Business Models	Policy & Social Factors
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	Policy & Social Factors
Implications of policy-driven transmission expansion for costs, emissions and reliability in the USA	10.1038/s41560-025-01921-7	https://doi.org/10.1038/s41560-025-01921-7	Nature Energy	2,025	Senga, J.; Botterud, A.; Parsons, J.; Story, S.; Knittel, C.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
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	Policy & Social Factors
Policymakers and academics envision energy demand reductions beyond typical policies in the United Kingdom	10.1038/s41560-025-01897-4	https://doi.org/10.1038/s41560-025-01897-4	Nature Energy	2,025	Sharmina, M.; Broad, O.; Barrett, J.; Brand, C.; Garvey, A.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
Policymaker-led scenarios and public dialogue facilitate energy demand analysis for net-zero futures	10.1038/s41560-025-01898-3	https://doi.org/10.1038/s41560-025-01898-3	Nature Energy	2,025	Sharmina, M.; Broad, O.; Barrett, J.; Brand, C.; Garvey, A.	Abstract Demand-side energy reductions have so far received less policy support than supply-side net-zero technologies. Here we undertake a demand-focused process for energy scenario analysis, led by policymakers and evaluated through public dialogue. We codesign, describe and model four societal futures that aim to achieve the UK’s 2050 net-zero target. The uniquely close involvement of policymakers leading the project generates markedly different narratives that reflect polic	CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
Demand-side strategies enable rapid and deep cuts in buildings and transport emissions to 2050	10.1038/s41560-025-01703-1	https://doi.org/10.1038/s41560-025-01703-1	Nature Energy	2,025	van Heerden, R.; Edelenbosch, O.; Daioglou, V.; Le Gallic, T.; Baptista, L.	Abstract Decarbonization of energy-using sectors is essential for tackling climate change. We use an ensemble of global integrated assessment models to assess CO2 emissions reduction potentials in buildings and transport, accounting for system interactions. We focus on three intervention strategies with distinct emphases: reducing or changing activity, improving technological efficiency and electrifying energy end use. We find that these strategies can reduce emissions by 51–85% in bui	CrossRef	DigiEnergy	Renewable Energy Simulation Tools	AI & Data Science for Urban Energy Systems	Climate Mitigation
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	Climate Mitigation
Energy- and cost-efficient CO2 capture from dilute emissions by pyridinic-graphene membranes	10.1038/s41893-025-01696-5	https://doi.org/10.1038/s41893-025-01696-5	Nature Sustainability	2,025	Micari, M.; Hsu, K.; Bempeli, S.; Agrawal, K.	Abstract Membrane-based carbon capture offers an energy-efficient and environmentally friendly alternative to conventional absorption-based processes, yet adoption remains limited by its performance with dilute CO 2 sources such as natural gas power plants. Here we present a techno-economic assessment of pyridinic-graphene membranes—porous graphene membranes hosting pyridinic nitrogen—that yield increasingly high CO	CrossRef	DigiEnergy	Load Forecasting & Demand Management	Novel Low/Zero Carbon Technologies	Carbon Capture & Storage
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	Policy & Social Factors
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	LCA & Sustainability
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	LCA & Sustainability
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	Policy & Social Factors
Urban and non-urban contributions to the social cost of carbon	10.1038/s41467-025-59466-y	https://doi.org/10.1038/s41467-025-59466-y	Nature Communications	2,025	Estrada, F.; Lupi, V.; Botzen, W.; Tol, R.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
Carbon trade biases and the emerging mesoscale structure of the European Emissions Trading System network	10.1038/s41467-025-59913-w	https://doi.org/10.1038/s41467-025-59913-w	Nature Communications	2,025	Flori, A.; Spelta, A.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
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	Policy & Social Factors
Quantifying the trade-offs between renewable energy visibility and system costs	10.1038/s41467-025-59029-1	https://doi.org/10.1038/s41467-025-59029-1	Nature Communications	2,025	Tsani, T.; Pelser, T.; Ioannidis, R.; Maier, R.; Chen, R.	Abstract Visual landscape impacts on scenic and populated places are among significant factors affecting local acceptance of large-scale renewable energy projects. Through the combination of large-scale reverse viewshed and techno-economic energy system analyses, we assess their potential impacts for nationwide energy systems. In our case study of Germany, moderate consideration of visual impact by placing renewables out of sight of the most scenic and densely populated areas d	CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
Gram-scale selective telomerization of isoprene and CO2 toward 100% renewable materials	10.1038/s41467-025-62409-2	https://doi.org/10.1038/s41467-025-62409-2	Nature Communications	2,025	Lutz, M.; Kracht, F.; Marumoto, K.; Nozaki, K.	Abstract Carbon dioxide (CO2) is an ideal chemical feedstock due to its abundance, low cost, low toxicity and its role as a greenhouse gas. Telomerization with butadiene give rise to functional small molecules and polymers with significant CO2 content, but the fossil origin of the olefin offsets sustainability benefits. Here, we present a palladium-catalyzed telomerization of CO2 with isoprene, two of the most prevalent organic compounds in the atmosphere, yielding “COOIL”, an ideally	CrossRef	DigiEnergy	Load Forecasting & Demand Management	Carbon Trading & New Business Models	LCA & Sustainability
Quantifying the global climate feedback from energy-based adaptation	10.1038/s41467-025-59201-7	https://doi.org/10.1038/s41467-025-59201-7	Nature Communications	2,025	Abajian, A.; Carleton, T.; Meng, K.; Deschênes, O.	Abstract Many behavioral responses to climate change are carbon-intensive, raising concerns that adaptation may cause additional warming. The sign and magnitude of this feedback depend on how increased emissions from cooling balance against reduced emissions from heating across space and time. We present an empirical approach that forecasts the effect of future adaptive energy use on global average temperature over the 21st century. We estimate that energy-based adaptation will lower g	CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Climate Mitigation
Energy and climate policy implications on the deployment of low-carbon ammonia technologies	10.1038/s41467-025-56006-6	https://doi.org/10.1038/s41467-025-56006-6	Nature Communications	2,025	Chyong, C.; Italiani, E.; Kazantzis, N.	Abstract The economic feasibility of low-carbon ammonia production pathways, such as steam methane reforming with carbon capture and storage, biomass gasification, and electrolysis, is assessed under various policy frameworks, including subsidies, carbon pricing, and renewable hydrogen regulations. Here, we show that employing a stochastic techno-economic analysis at the plant level and a net present value approach under the US Inflation Reduction Act revea	CrossRef	DigiEnergy	Load Forecasting & Demand Management	Novel Low/Zero Carbon Technologies	Carbon Capture & Storage
Planning the electric vehicle transition by integrating spatial information and social networks	10.1038/s41467-025-66072-5	https://doi.org/10.1038/s41467-025-66072-5	Nature Communications	2,025	Wu, J.; Salgado, A.; González, M.	Abstract The transition from gasoline-powered vehicles to plug-in electric vehicles (PEVs) offers a promising pathway for reducing greenhouse gas emissions. Spatial forecasts of PEV adoption are essential to support power grid adaptation, yet forecasting is hindered by limited data at this early stage of adoption. While different model calibrations can replicate current trends, they often yield divergent forecasts. Using empirical data from states with the highest levels of ado	CrossRef	FLEXERGY	Electric Vehicles & Mobility	Demand Response & New Mobilities & Urban Planning	Policy & Social Factors
The urgent electrolyte sustainability challenges for electric vehicle batteries	10.1038/s41467-025-60711-7	https://doi.org/10.1038/s41467-025-60711-7	Nature Communications	2,025	Burton, T.; Gómez Urbano, J.; Zhu, Y.; Balducci, A.; Fontaine, O.		CrossRef	FLEXERGY	Electric Vehicles & Mobility	Demand Response & New Mobilities & Urban Planning	LCA & Sustainability
Lithium-ion battery recycling relieves the threat to material scarcity amid China’s electric vehicle ambitions	10.1038/s41467-025-61481-y	https://doi.org/10.1038/s41467-025-61481-y	Nature Communications	2,025	Zhang, B.; Xin, Q.; Chen, S.; Wang, B.; Li, H.		CrossRef	FLEXERGY	Electric Vehicles & Mobility	Demand Response & New Mobilities & Urban Planning	LCA & Sustainability
Temperate forests can deliver future wood demand and climate-change mitigation dependent on afforestation and circularity	10.1038/s41467-025-58463-5	https://doi.org/10.1038/s41467-025-58463-5	Nature Communications	2,025	Forster, E.; Styles, D.; Healey, J.	Abstract Global wood demand is expected to rise but supply capacity is questioned due to limited forest resources. Additionally, the global warming potential (GWP) impact of increased wood supply and use is not well understood. We propose a framework combining forest carbon modelling and dynamic consequential life-cycle assessment to evaluate this impact. Applying it to generic temperate forest, we show that afforestation to double productive forest area co	CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Climate Mitigation
Avoiding misuses of energy-economic modelling in climate policymaking	10.1038/s41558-025-02280-7	https://doi.org/10.1038/s41558-025-02280-7	Nature Climate Change	2,025	Kaufman, N.; Bataille, C.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
Modelling the impacts of policy sequencing on energy decarbonization	10.1038/s41558-025-02497-6	https://doi.org/10.1038/s41558-025-02497-6	Nature Climate Change	2,025	Luo, H.; Peng, W.; Fawcett, A.; Green, J.; Iyer, G.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
Individualized cost–benefit analysis does not fit for demand-side mitigation	10.1038/s41558-025-02330-0	https://doi.org/10.1038/s41558-025-02330-0	Nature Climate Change	2,025	Berger, S.; Creutzig, F.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Climate Mitigation
Reply to: Individualized cost–benefit analysis does not fit for demand-side mitigation	10.1038/s41558-025-02331-z	https://doi.org/10.1038/s41558-025-02331-z	Nature Climate Change	2,025	Tan-Soo, J.; Qin, P.; Quan, Y.; Li, J.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Climate Mitigation
Governance challenges for domestic cross-border carbon capture and storage	10.1038/s41558-025-02250-z	https://doi.org/10.1038/s41558-025-02250-z	Nature Climate Change	2,025	Zhang, X.; Li, F.; Gu, Y.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	Novel Low/Zero Carbon Technologies	Carbon Capture & Storage
Influence of climate change and accidents on perception differs among energy technologies	10.1093/pnasnexus/pgaf079	https://doi.org/10.1093/pnasnexus/pgaf079	npj Clean Energy	2,025	L’Her, G.; Duncan, N.; Jenkins-Smith, H.; Deinert, M.	Abstract Risk perceptions of energy systems, and their evolution under climate change and after accidents, affect public acceptance of generation technologies. Despite this, little is understood about how such factors impact public perception at different timescales and the drivers for perception. We use state-of-the-art natural language processing to measure temporal changes in sentiment toward energy technologies using the full Twitter archive for 2009–2022. We find that percept	CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Climate Mitigation
Single-fibril Förster resonance energy transfer imaging and deep learning reveal concentration dependence of amyloid β 42 aggregation pathways	10.1093/pnasnexus/pgaf342	https://doi.org/10.1093/pnasnexus/pgaf342	npj Clean Energy	2,025	Sohail, S.; Yoo, J.; Chung, H.	Abstract Amyloid fibril formation is a highly heterogeneous process as evidenced by polymorphism in fibril structure. It has been suggested that different polymorphs are associated with different diseases or disease subtypes. Detailed characterization of this heterogeneity is a key to understanding the aggregation mechanism and, possibly, the disease mechanism. In this work, we develop Förster resonance energy transfer (FRET) imaging of amyloid fibril formation in real time and	CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
Global consistency of urban scaling evidenced by remote sensing	10.1093/pnasnexus/pgaf037	https://doi.org/10.1093/pnasnexus/pgaf037	npj Clean Energy	2,025	Xu, Z.; Xu, G.; Lan, T.; Li, X.; Chen, Z.	Abstract The urban scaling theory (UST) strives for a universal taxonomy that depicts relationships among urban indicators (e.g. energy consumption, economic output) with city size. However, the lack of international agreement on city definitions and statistics complicates cross-country comparisons of urban scaling performance. Remote sensing provides a uniform standard for measuring cities around the world. To scrutinize the consistency of UST, we quantified changes in remotely s	CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
Climate action literacy interventions increase commitments to more effective mitigation behaviors	10.1093/pnasnexus/pgaf191	https://doi.org/10.1093/pnasnexus/pgaf191	npj Clean Energy	2,025	Goldwert, D.; Patel, Y.; Nielsen, K.; Goldberg, M.; Vlasceanu, M.	Abstract Reducing lifestyle carbon emissions is a critical component of decarbonizing society. However, people hold substantial misperceptions about the relative efficacy of different behavioral changes, such as comprehensively recycling or avoiding long flights, and these misperceptions may lead to the suboptimal allocation of resources. In a preregistered experiment in the United States, we tested the effects of two literacy interventions on correcting misperceptions and increas	CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	LCA & Sustainability
The equity implications of pecuniary externalities on an electric grid	10.1093/pnasnexus/pgaf356	https://doi.org/10.1093/pnasnexus/pgaf356	npj Clean Energy	2,025	Sims, C.; Ali, G.; Holladay, J.; Roberson, T.; Chen, C.	Abstract The adoption of rooftop photovoltaic (PV) systems can create upward pressure on retail electricity rates as utilities are forced to spread their fixed costs of generation and transmission across a smaller customer base. Since high-income households are more likely to purchase PV systems, low-income households may be disproportionately impacted by these rate increases. Using a novel combination of agent-based computational economic modeling and a choice experiment of ro	CrossRef	CleanTech	Solar PV & Storage	Novel Low/Zero Carbon Technologies	Policy & Social Factors
Satellite analysis of methane emissions connects war and urban sustainability	10.1038/s44284-025-00312-z	https://doi.org/10.1038/s44284-025-00312-z	Nature Cities	2,025			CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	LCA & Sustainability
Synergistic action on mitigation and adaptation pilot policies to enhance low-carbon resilience of Chinese cities	10.1038/s44284-025-00303-0	https://doi.org/10.1038/s44284-025-00303-0	Nature Cities	2,025	Wang, D.; Chen, S.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Climate Mitigation
Low-carbon solutions for water infiltration in urban buildings under climate change	10.1038/s44284-025-00259-1	https://doi.org/10.1038/s44284-025-00259-1	Nature Cities	2,025	Xiao, J.; Yu, C.; Xia, B.; Xiao, X.; Wang, F.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Climate Mitigation
Integrating energy justice and economic realities through insights on energy expenditures, inequality, and renewable energy attitudes	10.1038/s41598-025-12410-y	https://doi.org/10.1038/s41598-025-12410-y	Scientific Reports	2,025	Volodzkiene, L.; Streimikiene, D.	Abstract Energy justice is a cornerstone of the European Union’s pursuit of climate neutrality by 2050, addressing both environmental and societal challenges. This research employs a representative survey to analyze household expenditures on electricity, natural gas, and heating, evaluating the extent of energy inequality and its implications for affordability and access across income groups. The study also explores public attitudes toward renewable energy, focusing on perceive	CrossRef	FLEXERGY	Socioeconomic & Energy Consumption	AI & Data Science for Urban Energy Systems	Policy & Social Factors
Solar photovoltaic feed-in tariffs: viability analysis and policy recommendations	10.1038/s41598-025-32105-8	https://doi.org/10.1038/s41598-025-32105-8	Scientific Reports	2,025	Mekonnen, T.; Tsegaye, S.; Belete, B.; Selvaraj, J.; Negewo, A.		CrossRef	CleanTech	Solar PV & Storage	Novel Low/Zero Carbon Technologies	Policy & Social Factors
An examination of the decoupling effect and influential mechanisms of energy consumption and economic growth in Chinese urban areas	10.1038/s41598-025-16262-4	https://doi.org/10.1038/s41598-025-16262-4	Scientific Reports	2,025	Cheng, H.; Li, C.; Huangmei, M.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
The impact of China pilot carbon market policy on electricity carbon emissions	10.1038/s41598-025-00975-7	https://doi.org/10.1038/s41598-025-00975-7	Scientific Reports	2,025	Zhang, Z.; Xiao, Y.; Zhang, K.; Tang, M.; Ma, T.	Abstract The electric power industry is the pillar of the national economy but also the largest carbon emission sector in China, facing great pressure to reduce emissions. Existing research often lacks the analysis of the carbon market on electricity carbon emission reduction. Based on the panel data of 30 provinces (cities) in China from 2003 to 2020, we combine the multi-period difference-in-differences model with the spatial Durbin model to explore the effectiveness of the pilot car	CrossRef	EnergiTrade	Energy & Carbon Trading	Carbon Trading & New Business Models	Policy & Social Factors
The impact of carbon emissions trading on innovation bubbles in manufacturing enterprises	10.1038/s41598-025-99814-y	https://doi.org/10.1038/s41598-025-99814-y	Scientific Reports	2,025	Lyu, Z.; Li, G.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
Research on the impact of the digital economy on carbon emissions based on the dual perspectives of carbon emission reduction and carbon efficiency	10.1038/s41598-025-87098-1	https://doi.org/10.1038/s41598-025-87098-1	Scientific Reports	2,025	Liu, X.; Chen, L.; Lu, Y.; Chang, M.; Xiao, Y.	Abstract China’s digital economy is currently thriving, with the “dual carbon” targets representing a significant pursuit of economic development. The role of the digital economy in achieving these targets warrants detailed discussion. Using urban panel data from China spanning 2011 to 2021, this paper empirically examines the impact of the digital economy on urban carbon emissions. The findings reveal several key points: Firstly, the digital economy significantly reduces urban carbon	CrossRef	EnergiTrade	Urban Carbon Footprint	Carbon Trading & New Business Models	Policy & Social Factors
Individual perceptions of renewable energy investment in Somali firms	10.1038/s41598-025-11581-y	https://doi.org/10.1038/s41598-025-11581-y	Scientific Reports	2,025	Nor, B.	Abstract Somalia’s energy sector is seen as potential for development and investment. financing this sector is crucial for development and economic growth. Small and medium-sized private-sector enterprises are the primary electricity generators and distributors, operating diesel-powered systems via off-grid networks This study investigates the factors influencing investment intentions in renewable energy in Somalia. This study utilized a quantitative research approach employing a descr	CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
Optimal energy management of multi-carrier energy system considering uncertainty in renewable generation	10.1038/s41598-025-10404-4	https://doi.org/10.1038/s41598-025-10404-4	Scientific Reports	2,025	Garg, A.; Niazi, K.; Tiwari, S.; Sharma, S.; Rawat, T.	Abstract This paper presents a structured approach for the efficient operation of multi-carrier energy systems under the uncertainty of renewable energy sources. As the penetration of wind and solar energy increases, managing the resulting variability becomes critical to maintaining both economic efficiency and operational flexibility. To address this, a two-stage multi objective optimization framework is proposed. In the first stage, the objective is to minimize daily operational cost	CrossRef	DigiEnergy	Load Forecasting & Demand Management	Novel Low/Zero Carbon Technologies	Policy & Social Factors
Agricultural carbon footprints, renewable energy and sustainable development in Asia	10.1038/s41598-025-17491-3	https://doi.org/10.1038/s41598-025-17491-3	Scientific Reports	2,025	Liu, H.; Liu, Y.	Abstract There is a growing concern over environmental degradation and climate change in rapidly developing Asian nations. However, little research has been conducted on the impact of agricultural carbon emissions and renewable energy use on sustainable development outcomes in Asia. This research looks at the relationship between agricultural carbon footprints (ACF), renewable energy consumption (RE), and sustainable development (SD) in nine Asian nations from 2000 to 2022. The study e	CrossRef	DigiEnergy	Load Forecasting & Demand Management	Carbon Trading & New Business Models	Climate Mitigation
Capabilities of battery and compressed air storage in the economic energy scheduling and flexibility regulation of multi-microgrids including non-renewable/renewable units	10.1038/s41598-025-06768-2	https://doi.org/10.1038/s41598-025-06768-2	Scientific Reports	2,025	Naghibi, A.; Akbari, E.; Veisi, M.; Shahmoradi, S.; Pirouzi, S.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	Carbon Trading & New Business Models	Policy & Social Factors
Robust fuzzy dynamic integrated environmental-economic-social scheduling considering demand response and user’s satisfaction with electricity under multiple uncertainties	10.1038/s41598-025-87689-y	https://doi.org/10.1038/s41598-025-87689-y	Scientific Reports	2,025	Zhang, H.; Xi, Q.; Chen, L.; Min, Y.; Fan, X.		CrossRef	FLEXERGY	Demand Response	Demand Response & New Mobilities & Urban Planning	Policy & Social Factors
Mitigating anthropogenic climate change with aqueous green energy	10.1038/s41598-025-86042-7	https://doi.org/10.1038/s41598-025-86042-7	Scientific Reports	2,025	Olim, S.; Nickoloff, A.; Moffat, L.; Weaver, A.; Eby, M.	AbstractReaching net zero emissions and limiting global warming to 2 °C requires the widespread introduction of technology-based solutions to draw down existing atmospheric levels and future emissions of CO2. One such approach is direct air CO2 capture and storage (DACCS), a readily available, yet energy-intensive process. The combination of DACCS and ocean thermal energy conversion (OTEC) allows for independently powered carbon capture plants to inject concentrated carbon into deep marine sedim	CrossRef	DigiEnergy	Load Forecasting & Demand Management	Novel Low/Zero Carbon Technologies	Carbon Capture & Storage
Solar potential assessment using machine learning and climate change projections for long-term energy planning	10.1038/s41598-025-23661-0	https://doi.org/10.1038/s41598-025-23661-0	Scientific Reports	2,025	Reddy, B.; Gautam, K.; Pachauri, N.	Abstract This work proposes a novel method for evaluating solar potential, essential for the development, installation, and operation of solar power systems. The approach forecasts solar energy potential for specific sites by utilizing integrated geospatial, meteorological, and infrastructural multidimensional data. A new application has been released to assess the solar capacity globally. The study evaluated various machine learning methods, ultimately selecting an XGBoost mod	CrossRef	CleanTech	Solar PV & Storage	Novel Low/Zero Carbon Technologies	Climate Mitigation
A novel approach to wind energy modeling in the context of climate change at Zaafrana region in Egypt	10.1038/s41598-025-90583-2	https://doi.org/10.1038/s41598-025-90583-2	Scientific Reports	2,025	Kamel, B.; Abdelaziz, A.; Attia, M.; Khamees, A.	Abstract Global warming, driven by the excessive emission of greenhouse gases from the combustion of fossil fuels, has emerged as a critical environmental challenge which is considered as a motivation for this research. Where, the switch to sustainable energy sources is crucial because of the pressing need to slow down climate change and lower carbon footprints. Of all the renewable energy sources, wind energy is particularly important as a means of reducing carbon emissions from the g	CrossRef	DigiEnergy	Load Forecasting & Demand Management	Carbon Trading & New Business Models	Climate Mitigation
The role of environmental awareness, renewable energy, and green innovation in shaping climate change perceptions	10.1038/s41598-025-24815-w	https://doi.org/10.1038/s41598-025-24815-w	Scientific Reports	2,025	Hussain, A.; kanwel, S.; Erum, N.; Pasha, U.; Asad, M.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Climate Mitigation
A smart grid data sharing scheme supporting policy update and traceability	10.1038/s41598-025-10704-9	https://doi.org/10.1038/s41598-025-10704-9	Scientific Reports	2,025	Yang, X.; Yao, K.; Li, S.; Du, X.; Wang, C.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
Artificial intelligence-augmented smart grid architecture for cyber intrusion detection and mitigation in electric vehicle charging infrastructure	10.1038/s41598-025-04984-4	https://doi.org/10.1038/s41598-025-04984-4	Scientific Reports	2,025	Sharma, A.; Rani, S.; Shabaz, M.		CrossRef	FLEXERGY	Electric Vehicles & Mobility	Demand Response & New Mobilities & Urban Planning	Climate Mitigation
Identification and suppression of low-frequency oscillations using PMU measurements based power system model in smart grid	10.1038/s41598-025-88389-3	https://doi.org/10.1038/s41598-025-88389-3	Scientific Reports	2,025	Zuhaib, M.; Rihan, M.; Gupta, S.; Sufyan, M.	Abstract Low-frequency oscillations (LFO) are inherent to large interconnected power systems. Timely detection and mitigation of these oscillations is essential to maintain reliable power system operation. This paper presents a methodology to identify and mitigate low-frequency oscillations ( forced and inter-area) using a wide area monitoring system (WAMS) based power system model utilizing phasor measurement units (PMUs). These models accurately identify the behavior and location of	CrossRef	DigiEnergy	Renewable Energy Simulation Tools	AI & Data Science for Urban Energy Systems	Climate Mitigation
Flexible renewable integrated energy system capabilities to improve voltage stability with power quality and economic environmental operation of smart grid	10.1038/s41598-025-29052-9	https://doi.org/10.1038/s41598-025-29052-9	Scientific Reports	2,025	Hassankashi, A.; Dini, A.; Pirouzi, S.; Veisi, M.; Bahreini, M.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
Comprehensive performance analysis of an electric vehicle using multi-mode Indian drive cycles	10.1038/s41598-025-02238-x	https://doi.org/10.1038/s41598-025-02238-x	Scientific Reports	2,025	Kondru, J.; Obulesu, Y.	Abstract The constant advancements in the research and development society of vehicle manufacturing made the customer’s attention towards EV ownership due to the better economic profile in the view of maintenance and operations. Even though the vehicles have better features the performance of the EV can be estimated with the consideration of the designed drive cycle for the region. According to that the procurement of EVs should be in the approved range of drive cycles with the concern	CrossRef	FLEXERGY	Electric Vehicles & Mobility	Demand Response & New Mobilities & Urban Planning	Policy & Social Factors
Strategic design of wind energy and battery storage for efficient and sustainable energy systems	10.1038/s41598-025-18863-5	https://doi.org/10.1038/s41598-025-18863-5	Scientific Reports	2,025	Eroğlu, H.; Kurtuluş, O.	Abstract The intermittent nature of renewable energy sources, particularly wind power, necessitates advanced energy management and storage strategies to ensure grid stability and economic viability. This study investigates the techno economic benefits of integrating Battery Energy Storage Systems (BESS) into wind power plants by developing and evaluating optimized hybrid operation strategies. Using real world Data from a 70 MW wind farm, ten distinct operational strategies were simulat	CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
A spatial decision making framework using neutrosophic VIKOR for wind energy investment in Turkey	10.1038/s41598-025-18799-w	https://doi.org/10.1038/s41598-025-18799-w	Scientific Reports	2,025	Eroğlu, H.	Abstract The growing demand for clean energy and the urgency of reducing carbon emissions have made wind power a key element of Turkey’s renewable energy strategy. However, identifying optimal regions for wind energy investment remains a complex task due to the interplay of technical, spatial, and economic factors, all of which are characterized by varying degrees of uncertainty. Although GIS-based site selection and multi-criteria decision-making (MCDM) methods are widely used, few ap	CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
Economic and environmental assessment of different energy storage methods for hybrid energy systems	10.1038/s41598-025-09732-2	https://doi.org/10.1038/s41598-025-09732-2	Scientific Reports	2,025	Liu, Y.; Zhang, Y.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
Carbon footprint analysis and carbon neutrality potential of desalination by reverse osmosis for different applications basd on life cycle assessment method	10.1038/s41598-025-24518-2	https://doi.org/10.1038/s41598-025-24518-2	Scientific Reports	2,025	Zhang, M.; Yu, S.; Shi, C.; Wang, H.; Chang, N.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	Novel Low/Zero Carbon Technologies	LCA & Sustainability
Uncovering the carbon footprint of minimally invasive axillary osmidrosis surgery in China through life cycle assessment	10.1038/s41598-025-09293-4	https://doi.org/10.1038/s41598-025-09293-4	Scientific Reports	2,025	Tan, K.; Zhang, J.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	Carbon Trading & New Business Models	LCA & Sustainability
Carbon footprint analysis and emission reduction pathways of Bogie frame manufacturing process in Urban Rail Transportation	10.1038/s41598-024-83407-2	https://doi.org/10.1038/s41598-024-83407-2	Scientific Reports	2,025	Zhou, J.; Wang, R.; Liu, C.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	Carbon Trading & New Business Models	Climate Mitigation
Temporal-spatial evolution and formation mechanism of energy consumption carbon footprint at county scale in the Yellow River Basin	10.1038/s41598-025-86383-3	https://doi.org/10.1038/s41598-025-86383-3	Scientific Reports	2,025	Zhang, L.; Song, M.; Gao, Y.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	Carbon Trading & New Business Models	Policy & Social Factors
Carbon footprint assessment and reconstruction redesign of recycled discarded military training uniforms	10.1038/s41598-025-87733-x	https://doi.org/10.1038/s41598-025-87733-x	Scientific Reports	2,025	Huang, G.; Shi, S.; Wang, Q.; Li, F.; Li, X.	Abstract In response to the problem of resource waste and environmental pollution caused by the large amount of waste textiles in China, taking waste military training uniforms as an example, a thorough investigation was conducted to draw a life cycle diagram of military training uniforms, establish a recycling system for waste military training uniforms, and use Taiyuan University of Technology as a pilot for recycling. The carbon footprint of different recycling methods was c	CrossRef	DigiEnergy	Load Forecasting & Demand Management	Carbon Trading & New Business Models	LCA & Sustainability
Quantifying the energy and emissions implications of consumption redistribution in the UK through sustainable consumption corridors	10.1038/s41598-025-01495-0	https://doi.org/10.1038/s41598-025-01495-0	Scientific Reports	2,025	Betts-Davies, S.; Owen, A.; Barrett, J.; Brockway, P.; Norman, J.	Abstract Reducing inequality to ensure decent living standards alongside climate mitigation, are frequently posited as dual goals of a just transition. Energy sufficiency has received attention as a solution to these crises, but there has been limited exploration of the impact sufficiency principles could have on energy and GHG emissions. Addressing this gap, we utilise a consumption-corridor approach to develop three redistributive scenarios of final consumption for the UK. Each scena	CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Climate Mitigation
Assessment of electrode materials in EDM of SS316L: energy consumption, electrode wear, dielectric consumption, GHG emissions, and economic viability for sustainable development	10.1038/s41598-025-24430-9	https://doi.org/10.1038/s41598-025-24430-9	Scientific Reports	2,025	Ali, M.; Raza, M.; Ehsan, S.; Sana, M.; Farooq, M.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
An intelligent incentive-based demand response program for exhaustive environment constrained techno-economic analysis of microgrid system	10.1038/s41598-025-85175-z	https://doi.org/10.1038/s41598-025-85175-z	Scientific Reports	2,025	Dey, B.; Sharma, G.; Bokoro, P.; Dutta, S.	AbstractThe cost-effective scheduling of distributed energy resources through sophisticated optimization algorithms is the main focus of recent work on microgrid energy management. In order to improve load factor and efficiency, load-shifting techniques are frequently used in conjunction with additional complex constraints such as PHEV scheduling and battery life assessment. Pollutant reduction, however, is rarely highlighted as a primary goal. An incentive-based demand response (IBDR) is introd	CrossRef	FLEXERGY	Demand Response	Carbon Trading & New Business Models	Policy & Social Factors
Day-ahead economic dispatch of wind-integrated microgrids using coordinated energy storage and hybrid demand response strategies	10.1038/s41598-025-11561-2	https://doi.org/10.1038/s41598-025-11561-2	Scientific Reports	2,025	Meng, Q.; He, Y.; Hussain, S.; Lu, J.; Guerrero, J.		CrossRef	FLEXERGY	Demand Response	Demand Response & New Mobilities & Urban Planning	Policy & Social Factors
Advanced microgrid optimization using price-elastic demand response and greedy rat swarm optimization for economic and environmental efficiency	10.1038/s41598-025-86232-3	https://doi.org/10.1038/s41598-025-86232-3	Scientific Reports	2,025	Singh, A.; Dey, B.; Bajaj, M.; Kadiwala, S.; Kumar, R.		CrossRef	FLEXERGY	Demand Response	Demand Response & New Mobilities & Urban Planning	Policy & Social Factors
Climate change, biodiversity, and the energy transition: The potential role of the UN’s declaration on peasants’ rights	10.1016/j.oneear.2024.11.013	https://doi.org/10.1016/j.oneear.2024.11.013	One Earth	2,025	Kemp, D.; Owen, J.; Schuele, W.; Loginova, J.; Ern Ang, M.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Climate Mitigation
Co-deploying biochar and bioenergy with carbon capture and storage improves cost-effectiveness and sustainability of China’s carbon neutrality	10.1016/j.oneear.2024.12.008	https://doi.org/10.1016/j.oneear.2024.12.008	One Earth	2,025	Deng, X.; Teng, F.; Zhang, X.; Fan, J.; Forsell, N.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	Novel Low/Zero Carbon Technologies	Carbon Capture & Storage
Technoeconomic analysis of distributed energy resources for rapid deployment of the US national charging network	10.1016/j.crsus.2024.100303	https://doi.org/10.1016/j.crsus.2024.100303	Cell Reports Sustainability	2,025	Poudel, S.; Wang, J.; Zhou, Y.; Reddi, K.; Elgowainy, A.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	Carbon Trading & New Business Models	Policy & Social Factors
Sustainability trade-offs across modeled floating solar waterscapes of the Northeastern United States	10.1016/j.crsus.2025.100423	https://doi.org/10.1016/j.crsus.2025.100423	Cell Reports Sustainability	2,025	Gallaher, A.; Kalies, E.; Grodsky, S.		CrossRef	CleanTech	Solar PV & Storage	Novel Low/Zero Carbon Technologies	LCA & Sustainability
Unit-level monitoring data reveal the effectiveness of China’s national emissions trading scheme	10.1016/j.crsus.2025.100339	https://doi.org/10.1016/j.crsus.2025.100339	Cell Reports Sustainability	2,025	Yan, G.; Ruan, J.; Qin, Z.; Lyu, C.; Qian, S.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
Comparative techno-economic analysis of synthetic renewable natural gas production via reactive CO2 capture and conversion	10.1016/j.crsus.2025.100408	https://doi.org/10.1016/j.crsus.2025.100408	Cell Reports Sustainability	2,025	Aui, A.; Goldstein, H.; Ellebracht, N.; Li, W.; Pang, S.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	Policy & Social Factors
Sustainability challenges demand social science insights	10.1016/j.crsus.2025.100556	https://doi.org/10.1016/j.crsus.2025.100556	Cell Reports Sustainability	2,025			CrossRef	DigiEnergy	Load Forecasting & Demand Management	AI & Data Science for Urban Energy Systems	LCA & Sustainability
Rising sea level reduces carbon sequestration and CO2 and N2O fluxes while promoting CH4 flux from mangroves	10.1016/j.crsus.2025.100520	https://doi.org/10.1016/j.crsus.2025.100520	Cell Reports Sustainability	2,025	Qiao, P.; Chen, L.; Krauss, K.; Guo, X.; Xu, L.		CrossRef	DigiEnergy	Load Forecasting & Demand Management	Novel Low/Zero Carbon Technologies	Carbon Capture & Storage

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UEX-MitigationTechnologies

A curated hub for carbon mitigation technologies, negative emissions, and life cycle assessment.

📊 Overview

This hub contains 435 curated datasets, categorized by their specific research domains.

📂 Structure

UEX-MitigationTechnologies_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
Carbon Capture & Storage	60	CCUS, negative emissions, and sequestration.
LCA & Sustainability	53	Sustainability, life cycle, and circular economy.
Policy & Social Factors	203	Specialized research in this domain.
Climate Mitigation	119	Specialized research in this domain.

🔗 Collection

This dataset is part of the UEX-MitigationTechnologies Collection.

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379 kB

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121 kB

Number of rows:

435

Collection including UEXdo/UEX-MT-OpenDataHub

UEX-MitigationTechnologies

Collection

1 item • Updated 6 days ago