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Robust projections of increasing land carbon storage in boreal and temperate forests under future climate change scenarios | 10.1016/j.oneear.2023.11.013 | https://doi.org/10.1016/j.oneear.2023.11.013 | One Earth | 2,024 | Wei, N.; Xia, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
One-tenth of the EU’s sustainable biomethane coupled with carbon capture and storage can enable net-zero ammonia production | 10.1016/j.oneear.2024.11.005 | https://doi.org/10.1016/j.oneear.2024.11.005 | One Earth | 2,024 | Istrate, R.; Nabera, A.; Pérez-Ramírez, J.; Guillén-Gosálbez, G. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
A techno-economic survey of energy storage media for long-duration energy storage applications | 10.1016/j.crsus.2023.100007 | https://doi.org/10.1016/j.crsus.2023.100007 | Cell Reports Sustainability | 2,024 | Aspitarte, L.; Woodside, C. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Geospatial techno-economic and environmental assessment of different energy options for solid sorbent direct air capture | 10.1016/j.crsus.2024.100151 | https://doi.org/10.1016/j.crsus.2024.100151 | Cell Reports Sustainability | 2,024 | Sendi, M.; Bui, M.; Mac Dowell, N.; Fennell, P. | CrossRef | CleanTech | Negative Emission Technologies | Novel Low/Zero Carbon Technologies | Policy & Social Factors | ||
An empirical agent-based model of consumer co-adoption of low-carbon technologies to inform energy policy | 10.1016/j.crsus.2024.100268 | https://doi.org/10.1016/j.crsus.2024.100268 | Cell Reports Sustainability | 2,024 | van der Kam, M.; Lagomarsino, M.; Azar, E.; Hahnel, U.; Parra, D. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
The role of negative emissions technologies in the UK’s net-zero strategy | 10.1016/j.crsus.2024.100126 | https://doi.org/10.1016/j.crsus.2024.100126 | Cell Reports Sustainability | 2,024 | Bakkaloglu, S.; Mersch, M.; Sunny, N.; Markides, C.; Shah, N. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
Future soil organic carbon stocks in China under climate change | 10.1016/j.crsus.2024.100179 | https://doi.org/10.1016/j.crsus.2024.100179 | Cell Reports Sustainability | 2,024 | Wu, J.; Liu, S.; Peng, C.; Luo, Y.; Terrer, C. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Seasonal hydrogen energy storage sizing: Two-stage economic-safety optimization for integrated energy systems in northwest China | 10.1016/j.isci.2024.110691 | https://doi.org/10.1016/j.isci.2024.110691 | iScience | 2,024 | Li, L.; Sun, Y.; Han, Y.; Chen, W. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Examining urban resilience through a food-water-energy nexus lens to understand the effects of climate change | 10.1016/j.isci.2024.110311 | https://doi.org/10.1016/j.isci.2024.110311 | iScience | 2,024 | Tye, M.; Wilhelmi, O.; Boehnert, J.; Faye, E.; Milestad, R. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Deep mitigation for trade-embodied carbon emissions among the Belt and Road Initiative countries | 10.1016/j.isci.2024.110054 | https://doi.org/10.1016/j.isci.2024.110054 | iScience | 2,024 | Zhang, L.; Zhao, W.; Chiu, Y.; Zhang, L.; Shi, Z. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Actual cost of electricity: An economic index to overcome levelized cost of electricity limits | 10.1016/j.isci.2024.109897 | https://doi.org/10.1016/j.isci.2024.109897 | iScience | 2,024 | Manzolini, G.; Binotti, M.; Gentile, G.; Picotti, G.; Pilotti, L. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Infrastructure adequacy for electricity trading in East Africa | 10.1016/j.isci.2024.109554 | https://doi.org/10.1016/j.isci.2024.109554 | iScience | 2,024 | Rubanda, M.; Senyonga, L.; Ngoma, M.; Adaramola, M. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Wind and solar energy in Small Island Developing States for mitigating global climate change | 10.1016/j.isci.2024.111062 | https://doi.org/10.1016/j.isci.2024.111062 | iScience | 2,024 | Havea, P.; Su, B.; Liu, C.; Kundzewicz, Z.; Wang, Y. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Climate Mitigation | ||
Sustainable bioenergy contributes to cost-effective climate change mitigation in China | 10.1016/j.isci.2024.110232 | https://doi.org/10.1016/j.isci.2024.110232 | iScience | 2,024 | Xu, Y.; Smith, P.; Qin, Z. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Changing economics of China’s power system suggest that batteries and renewables may be a lower cost way to meet peak demand growth than coal | 10.1016/j.isci.2024.108975 | https://doi.org/10.1016/j.isci.2024.108975 | iScience | 2,024 | Kahrl, F.; Lin, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Demand Response & New Mobilities & Urban Planning | Policy & Social Factors | ||
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exposure disparities persist despite strict vehicle emissions controls in California | 10.1126/sciadv.adn8544 | https://doi.org/10.1126/sciadv.adn8544 | Science Advances | 2,024 | Koolik, L.; Alvarado, Á.; Budahn, A.; Plummer, L.; Marshall, J. |
As policymakers increasingly focus on environmental justice, a key question is whether emissions reductions aimed at addressing air quality or climate change can also ameliorate persistent air pollution exposure disparities. We examine evidence from California’s aggressive vehicle emissions control... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Climate sensitivity and relative humidity changes in global storm-resolving model simulations of climate change | 10.1126/sciadv.adn5217 | https://doi.org/10.1126/sciadv.adn5217 | Science Advances | 2,024 | Merlis, T.; Cheng, K.; Guendelman, I.; Harris, L.; Bretherton, C. | The climate simulation frontier of a global storm-resolving model (GSRM; ork-scale model because of its kilometer-scale horizontal resolution) is deployed for climate change simulations. The climate sensitivity, effective radiative forcing, and relative humidity changes are assessed in multiyear atmospheric GSRM simula... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Precision and bias of carbon storage estimations in wetland and mangrove sediments | 10.1126/sciadv.adl1079 | https://doi.org/10.1126/sciadv.adl1079 | Science Advances | 2,024 | Ezcurra, E. | Peaty sediments in coastal wetlands play an important role in the sequestration of atmospheric carbon dioxide and its belowground storage. Sediment cores are used to quantify organic matter (OM) density, estimated by multiplying the bulk density of a core segment by its OM fraction. This method can be imprecise, as rep... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Carbon Capture & Storage | |
Points for energy renovation (PointER): A point cloud dataset of a million buildings linked to energy features | 10.1038/s41597-023-02544-x | https://doi.org/10.1038/s41597-023-02544-x | Scientific Data | 2,023 | Krapf, S.; Mayer, K.; Fischer, M. | AbstractRapid renovation of Europe’s inefficient buildings is required to reduce climate change. However, evaluating buildings at scale is challenging because every building is unique. In current practice, the energy performance of buildings is assessed during on-site visits, which are slow, costly, and local. This pap... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Chinese electricity-focused input-output dataset with detailed coal power and alternative energy for 2018 | 10.1038/s41597-023-02466-8 | https://doi.org/10.1038/s41597-023-02466-8 | Scientific Data | 2,023 | Liang, Y.; Zhang, Y.; Wang, Y.; Zhang, H.; Wang, K. | AbstractThe electricity-focused input-output model is a popular approach for analysing the socio-economic and environmental impacts of electricity decarbonisation policies; however, it cannot be built directly owing to a lack of data on electricity technology. Here, we provide the Chinese electricity-focused input-outp... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
A Dataset for Electricity Market Studies on Western and Northeastern Power Grids in the United States | 10.1038/s41597-023-02448-w | https://doi.org/10.1038/s41597-023-02448-w | Scientific Data | 2,023 | Zhang, Q.; Li, F. | AbstractEfficient electricity market operations and cost-effective electricity generations are fundamental to a low-carbon energy future. The Western Electricity Coordinating Council (WECC) and Northeast Power Coordinating Council (NPCC) systems were built to provide efficient electrical grid simulation solutions for t... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Policy & Social Factors | |
A synthetic dataset of Danish residential electricity prosumers | 10.1038/s41597-023-02271-3 | https://doi.org/10.1038/s41597-023-02271-3 | Scientific Data | 2,023 | Yuan, R.; Pourmousavi, S.; Soong, W.; Black, A.; Liisberg, J. | AbstractConventional residential electricity consumers are becoming prosumers who not only consume electricity but also produce it. This shift is expected to occur over the next few decades at a large scale, and it presents numerous uncertainties and risks for the operation, planning, investment, and viable business mo... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
A Large Ensemble Global Dataset for Climate Impact Assessments | 10.1038/s41597-023-02708-9 | https://doi.org/10.1038/s41597-023-02708-9 | Scientific Data | 2,023 | Gao, X.; Sokolov, A.; Schlosser, C. | AbstractWe present a self-consistent, large ensemble, high-resolution global dataset of long‐term future climate, which accounts for the uncertainty in climate system response to anthropogenic emissions of greenhouse gases and in geographical patterns of climate change. The dataset is developed by applying an integrate... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
CLIMBra - Climate Change Dataset for Brazil | 10.1038/s41597-023-01956-z | https://doi.org/10.1038/s41597-023-01956-z | Scientific Data | 2,023 | Ballarin, A.; Sone, J.; Gesualdo, G.; Schwamback, D.; Reis, A. | AbstractGeneral Circulation and Earth System Models are the most advanced tools for investigating climate responses to future scenarios of greenhouse gas emissions, playing the role of projecting the climate throughout the century. Nevertheless, climate projections are model-dependent and may show systematic biases, re... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
A 21-year dataset (2000–2020) of gap-free global daily surface soil moisture at 1-km grid resolution | 10.1038/s41597-023-01991-w | https://doi.org/10.1038/s41597-023-01991-w | Scientific Data | 2,023 | Zheng, C.; Jia, L.; Zhao, T. | AbstractGlobal soil moisture estimates from current satellite missions are suffering from inherent discontinuous observations and coarse spatial resolution, which limit applications especially at the fine spatial scale. This study developed a dataset of global gap-free surface soil moisture (SSM) at daily 1-km resoluti... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Positron emission tomography dataset of [11C]carbon dioxide storage in coal for geo-sequestration application | 10.1038/s41597-023-02754-3 | https://doi.org/10.1038/s41597-023-02754-3 | Scientific Data | 2,023 | Jing, Y.; Kumaran, A.; Stimson, D.; Mardon, K.; Najdovski, L. | AbstractPositron Emission Tomography (PET) imaging has demonstrated its capability in providing time-lapse fluid flow visualisation for improving the understanding of flow properties of geologic media. To investigate the process of CO2 geo-sequestration using PET imaging technology, [11C]CO2 is the most optimal and dir... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Carbon Capture & Storage | |
A dataset of low-carbon energy transition index for Chinese cities 2003–2019 | 10.1038/s41597-023-02815-7 | https://doi.org/10.1038/s41597-023-02815-7 | Scientific Data | 2,023 | Shen, Y.; Shi, X.; Zhao, Z.; Xu, J.; Sun, Y. | AbstractCities are at the heart of climate change mitigation as they account for over 70% of global carbon emissions. However, cities vary in their energy systems and socioeconomic capacities to transition to renewable energy. To address this heterogeneity, this study proposes an Energy Transition Index (ETI) specifica... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Mechanisms for improved open-circuit voltage in ternary organic solar cells | 10.1038/s41560-023-01313-9 | https://doi.org/10.1038/s41560-023-01313-9 | Nature Energy | 2,023 | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Policy & Social Factors | |||
Challenges resulting from urban density and climate change for the EU energy transition | 10.1038/s41560-023-01232-9 | https://doi.org/10.1038/s41560-023-01232-9 | Nature Energy | 2,023 | Perera, A.; Javanroodi, K.; Mauree, D.; Nik, V.; Florio, P. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Climate change impacts on planned supply–demand match in global wind and solar energy systems | 10.1038/s41560-023-01304-w | https://doi.org/10.1038/s41560-023-01304-w | Nature Energy | 2,023 | Liu, L.; He, G.; Wu, M.; Liu, G.; Zhang, H. | AbstractClimate change modulates both energy demand and wind and solar energy supply but a globally synthetic analysis of supply–demand match (SDM) is lacking. Here, we use 12 state-of-the-art climate models to assess climate change impacts on SDM, quantified by the fraction of demand met by local wind or solar supply.... | CrossRef | DigiEnergy | Renewable Energy Resource Mapping | Novel Low/Zero Carbon Technologies | Climate Mitigation | |
Energy consumption of current and future production of lithium-ion and post lithium-ion battery cells | 10.1038/s41560-023-01355-z | https://doi.org/10.1038/s41560-023-01355-z | Nature Energy | 2,023 | Degen, F.; Winter, M.; Bendig, D.; Tübke, J. | AbstractDue to the rapidly increasing demand for electric vehicles, the need for battery cells is also increasing considerably. However, the production of battery cells requires enormous amounts of energy, which is expensive and produces greenhouse gas emissions. Here, by combining data from literature and from own res... | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Policy & Social Factors | |
Designing diversified renewable energy systems to balance multisector performance | 10.1038/s41893-022-01033-0 | https://doi.org/10.1038/s41893-022-01033-0 | Nature Sustainability | 2,023 | Gonzalez, J.; Tomlinson, J.; Martínez Ceseña, E.; Basheer, M.; Obuobie, E. | AbstractRenewable energy system development and improved operation can mitigate climate change. In many regions, hydropower is called to counterbalance the temporal variability of intermittent renewables like solar and wind. However, using hydropower to integrate these renewables can affect aquatic ecosystems and incre... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Climate Mitigation | |
Afforesting arid land with renewable electricity and desalination to mitigate climate change | 10.1038/s41893-022-01056-7 | https://doi.org/10.1038/s41893-022-01056-7 | Nature Sustainability | 2,023 | Caldera, U.; Breyer, C. | AbstractAfforestation is one of the most practised carbon dioxide removal methods but is constrained by the availability of suitable land and sufficient water resources. In this research, existing concepts of low-cost renewable electricity (RE) and seawater desalination are built upon to identify the global CO2 sequest... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | |
Biogas production in United States dairy farms incentivized by electricity policy changes | 10.1038/s41893-022-01038-9 | https://doi.org/10.1038/s41893-022-01038-9 | Nature Sustainability | 2,023 | Erickson, E.; Tominac, P.; Zavala, V. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Looking for massive carbon capture | 10.1038/s41893-023-01066-z | https://doi.org/10.1038/s41893-023-01066-z | Nature Sustainability | 2,023 | Chiavazzo, E. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
Prolonged hydrogen production by engineered green algae photovoltaic power stations | 10.1038/s41467-023-42529-3 | https://doi.org/10.1038/s41467-023-42529-3 | Nature Communications | 2,023 | Gwon, H.; Park, G.; Yun, J.; Ryu, W.; Ahn, H. | AbstractInterest in securing energy production channels from renewable sources is higher than ever due to the daily observation of the impacts of climate change. A key renewable energy harvesting strategy achieving carbon neutral cycles is artificial photosynthesis. Solar-to-fuel routes thus far relied on elaborately c... | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Climate Mitigation | |
Impacts of climate change, population growth, and power sector decarbonization on urban building energy use | 10.1038/s41467-023-41458-5 | https://doi.org/10.1038/s41467-023-41458-5 | Nature Communications | 2,023 | Wang, C.; Song, J.; Shi, D.; Reyna, J.; Horsey, H. | AbstractClimate, technologies, and socio-economic changes will influence future building energy use in cities. However, current low-resolution regional and state-level analyses are insufficient to reliably assist city-level decision-making. Here we estimate mid-century hourly building energy consumption in 277 U.S. urb... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
The effect of sustainable mobility transition policies on cumulative urban transport emissions and energy demand | 10.1038/s41467-023-37728-x | https://doi.org/10.1038/s41467-023-37728-x | Nature Communications | 2,023 | Winkler, L.; Pearce, D.; Nelson, J.; Babacan, O. | AbstractThe growing urban transport sector presents towns and cities with an escalating challenge in the reduction of their greenhouse gas emissions. Here we assess the effectiveness of several widely considered policy options (electrification, light-weighting, retrofitting, scrapping, regulated manufacturing standards... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Warming proportional to cumulative carbon emissions not explained by heat and carbon sharing mixing processes | 10.1038/s41467-023-42111-x | https://doi.org/10.1038/s41467-023-42111-x | Nature Communications | 2,023 | Gillett, N. | AbstractThe constant ratio of global warming to cumulative CO2 emissions underpins the use of cumulative emissions budgets as policy tools, and the need to reach net zero CO2 emissions to stabilize global mean temperature. Several studies have argued that this property arises because heat and carbon are mixed into the ... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Policy & Social Factors | |
Projecting future carbon emissions from cement production in developing countries | 10.1038/s41467-023-43660-x | https://doi.org/10.1038/s41467-023-43660-x | Nature Communications | 2,023 | Cheng, D.; Reiner, D.; Yang, F.; Cui, C.; Meng, J. | AbstractAchieving low-carbon development of the cement industry in the developing countries is fundamental to global emissions abatement, considering the local construction industry’s rapid growth. However, there is currently a lack of systematic and accurate accounting and projection of cement emissions in developing ... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Limitations to sustainable renewable jet fuels production attributed to cost than energy-water-food resource availability | 10.1038/s41467-023-44049-6 | https://doi.org/10.1038/s41467-023-44049-6 | Nature Communications | 2,023 | Chong, C.; Ng, J. | AbstractRenewable jet fuel (RJF) is often touted as the only viable sustainable energy source for the aviation sector, given the difficulties faced by other low-carbon energy sources in overcoming technological barriers. Despite that, the sustainability of RJF is still in dispute due to the conflicting requirements in ... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | LCA & Sustainability | |
2D MXenes polar catalysts for multi-renewable energy harvesting applications | 10.1038/s41467-023-39791-w | https://doi.org/10.1038/s41467-023-39791-w | Nature Communications | 2,023 | Pan, X.; Yang, X.; Yu, M.; Lu, X.; Kang, H. | AbstractThe synchronous harvesting and conversion of multiple renewable energy sources for chemical fuel production and environmental remediation in a single system is a holy grail in sustainable energy technologies. However, it is challenging to develop advanced energy harvesters that satisfy different working mechani... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
The contribution of corporate initiatives to global renewable electricity deployment | 10.1038/s41467-023-40356-0 | https://doi.org/10.1038/s41467-023-40356-0 | Nature Communications | 2,023 | Egli, F.; Zhang, R.; Hopo, V.; Schmidt, T.; Steffen, B. | AbstractClimate change is gaining importance on the agenda of senior decision makers in the private sector. Hence, corporate renewable electricity (RE) procurement may become more relevant to the energy transition. RE100 is the largest corporate initiative to foster RE procurement with 315 corporate members as of 2021.... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Meteorological drivers of resource adequacy failures in current and high renewable Western U.S. power systems | 10.1038/s41467-023-41875-6 | https://doi.org/10.1038/s41467-023-41875-6 | Nature Communications | 2,023 | Sundar, S.; Craig, M.; Payne, A.; Brayshaw, D.; Lehner, F. | AbstractPower system resource adequacy (RA), or its ability to continually balance energy supply and demand, underpins human and economic health. How meteorology affects RA and RA failures, particularly with increasing penetrations of renewables, is poorly understood. We characterize large-scale circulation patterns th... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Policy & Social Factors | |
How climate policy commitments influence energy systems and the economies of US states | 10.1038/s41467-023-40560-y | https://doi.org/10.1038/s41467-023-40560-y | Nature Communications | 2,023 | Bergquist, P.; Warshaw, C. | AbstractIn the United States, state governments have been the locus of action for addressing climate change. However, the lack of a holistic measure of state climate policy has prevented a comprehensive assessment of state policies’ effectiveness. Here, we assemble information from 25 individual policies to develop an ... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
The asymmetric effects of climate risk on higher-moment connectedness among carbon, energy and metals markets | 10.1038/s41467-023-42925-9 | https://doi.org/10.1038/s41467-023-42925-9 | Nature Communications | 2,023 | Zhou, Y.; Wu, S.; Liu, Z.; Rognone, L. | AbstractClimate change affects price fluctuations in the carbon, energy and metals markets through physical and transition risks. Climate physical risk is mainly caused by extreme weather, natural disasters and other events caused by climate change, whereas climate transition risk mainly results from the gradual switch... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Policy & Social Factors | |
Hidden delays of climate mitigation benefits in the race for electric vehicle deployment | 10.1038/s41467-023-38182-5 | https://doi.org/10.1038/s41467-023-38182-5 | Nature Communications | 2,023 | Ren, Y.; Sun, X.; Wolfram, P.; Zhao, S.; Tang, X. | AbstractAlthough battery electric vehicles (BEVs) are climate-friendly alternatives to internal combustion engine vehicles (ICEVs), an important but often ignored fact is that the climate mitigation benefits of BEVs are usually delayed. The manufacture of BEVs is more carbon-intensive than that of ICEVs, leaving a gree... | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Climate Mitigation | |
Global land and water limits to electrolytic hydrogen production using wind and solar resources | 10.1038/s41467-023-41107-x | https://doi.org/10.1038/s41467-023-41107-x | Nature Communications | 2,023 | Tonelli, D.; Rosa, L.; Gabrielli, P.; Caldeira, K.; Parente, A. | Abstract
Proposals for achieving net-zero emissions by 2050 include scaling-up electrolytic hydrogen production, however, this poses technical, economic, and environmental challenges. One such challenge is for policymakers to ensure a sustainable future for the environment including freshwater and lan... | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Policy & Social Factors | |
Rebound effects undermine carbon footprint reduction potential of autonomous electric vehicles | 10.1038/s41467-023-41992-2 | https://doi.org/10.1038/s41467-023-41992-2 | Nature Communications | 2,023 | Onat, N.; Mandouri, J.; Kucukvar, M.; Sen, B.; Abbasi, S. | AbstractAutonomous vehicles offer greater passenger convenience and improved fuel efficiency. However, they are likely to increase road transport activity and life cycle greenhouse emissions, due to several rebound effects. In this study, we investigate tradeoffs between improved fuel economy and rebound effects from a... | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | LCA & Sustainability | |
Climate change exacerbates snow-water-energy challenges for European ski tourism | 10.1038/s41558-023-01759-5 | https://doi.org/10.1038/s41558-023-01759-5 | Nature Climate Change | 2,023 | François, H.; Samacoïts, R.; Bird, D.; Köberl, J.; Prettenthaler, F. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Contribution of prioritized urban nature-based solutions allocation to carbon neutrality | 10.1038/s41558-023-01737-x | https://doi.org/10.1038/s41558-023-01737-x | Nature Climate Change | 2,023 | Pan, H.; Page, J.; Shi, R.; Cong, C.; Cai, Z. | Abstract
Nature-based solutions (NBS) are essential for carbon-neutral cities, yet how to effectively allocate them remains a question. Carbon neutrality requires city-led climate action plans that incorporate both indirect and direct contributions of NBS. Here we assessed the carbon emissions mitigat... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Retrofitted carbon capture and storage for negative emissions in China’s co-firing plants | 10.1038/s41558-023-01756-8 | https://doi.org/10.1038/s41558-023-01756-8 | Nature Climate Change | 2,023 | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | |||
Co-firing plants with retrofitted carbon capture and storage for power-sector emissions mitigation | 10.1038/s41558-023-01736-y | https://doi.org/10.1038/s41558-023-01736-y | Nature Climate Change | 2,023 | Fan, J.; Fu, J.; Zhang, X.; Li, K.; Zhou, W. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
Carbon emissions and economic impacts of an EU embargo on Russian fossil fuels | 10.1038/s41558-023-01606-7 | https://doi.org/10.1038/s41558-023-01606-7 | Nature Climate Change | 2,023 | Liu, L.; Jiang, H.; Liang, Q.; Creutzig, F.; Liao, H. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Author Correction: Widespread shift from ecosystem energy to water limitation with climate change | 10.1038/s41558-023-01729-x | https://doi.org/10.1038/s41558-023-01729-x | Nature Climate Change | 2,023 | Denissen, J.; Teuling, A.; Pitman, A.; Koirala, S.; Migliavacca, M. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Slowdown of Antarctic Bottom Water export driven by climatic wind and sea-ice changes | 10.1038/s41558-023-01695-4 | https://doi.org/10.1038/s41558-023-01695-4 | Nature Climate Change | 2,023 | Zhou, S.; Meijers, A.; Meredith, M.; Abrahamsen, E.; Holland, P. | AbstractAntarctic Bottom Water (AABW) is pivotal for oceanic heat and carbon sequestrations on multidecadal to millennial timescales. The Weddell Sea contributes nearly a half of global AABW through Weddell Sea Deep Water and denser underlying Weddell Sea Bottom Water that form on the continental shelves via sea-ice pr... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | |
Future warming from global food consumption | 10.1038/s41558-023-01605-8 | https://doi.org/10.1038/s41558-023-01605-8 | Nature Climate Change | 2,023 | Ivanovich, C.; Sun, T.; Gordon, D.; Ocko, I. | Abstract
Food consumption is a major source of greenhouse gas (GHG) emissions, and evaluating its future warming impact is crucial for guiding climate mitigation action. However, the lack of granularity in reporting food item emissions and the widespread use of oversimplified metr... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Probabilistic projections of granular energy technology diffusion at subnational level | 10.1093/pnasnexus/pgad321 | https://doi.org/10.1093/pnasnexus/pgad321 | npj Clean Energy | 2,023 | Zielonka, N.; Wen, X.; Trutnevyte, E. | Abstract
Projections of granular energy technology diffusion can support decision-making on climate mitigation policies and infrastructure investments. However, such projections often do not account for uncertainties and have low spatial resolution. S-curve models of technology diffusion are widely used ... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Membrane free-energy landscapes derived from atomistic dynamics explain nonuniversal cholesterol-induced stiffening | 10.1093/pnasnexus/pgad269 | https://doi.org/10.1093/pnasnexus/pgad269 | npj Clean Energy | 2,023 | Fiorin, G.; Forrest, L.; Faraldo-Gómez, J. | Abstract
All lipid membranes have inherent morphological preferences and resist deformation. Yet adaptations in membrane shape can and do occur at multiple length scales. While this plasticity is crucial for cellular physiology, the factors controlling the morphological energetics of lipid bilayers an... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Pore formation driven by particle impact in laser powder-blown directed energy deposition | 10.1093/pnasnexus/pgad178 | https://doi.org/10.1093/pnasnexus/pgad178 | npj Clean Energy | 2,023 | Webster, S.; Moser, N.; Fezzaa, K.; Sun, T.; Ehmann, K. | Abstract
Process defects currently limit the use of metal additive manufacturing (AM) components in industries due to shorter fatigue life, potential for catastrophic failure, and lower strength. Conditions under which these defects form, and their mechanisms, are starting to be analyzed to improve relia... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Photovoltaic fields largely outperform afforestation efficiency in global climate change mitigation strategies | 10.1093/pnasnexus/pgad352 | https://doi.org/10.1093/pnasnexus/pgad352 | npj Clean Energy | 2,023 | Stern, R.; Muller, J.; Rotenberg, E.; Amer, M.; Segev, L. | Abstract
Suppression of carbon emissions through photovoltaic (PV) energy and carbon sequestration through afforestation provides complementary climate change mitigation (CCM) strategies. However, a quantification of the “break-even time” (BET) required to offset the warming impacts of the reduced surfac... | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | |
Observing network effect of shipping emissions from space: A natural experiment in the world’s busiest port | 10.1093/pnasnexus/pgad391 | https://doi.org/10.1093/pnasnexus/pgad391 | npj Clean Energy | 2,023 | Liu, S.; Li, X.; Li, J.; Shu, L.; Fu, T. | AbstractMaritime trade and associated emissions are dynamic in nature. Although shipping emissions contribute significantly to air quality and climate change, their trade-governed dynamics remain less explored due to the lack of observational evidence. Here, we use satellite measurements to capture the redistribution o... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Cementing CO2 into C-S-H: A step toward concrete carbon neutrality | 10.1093/pnasnexus/pgad052 | https://doi.org/10.1093/pnasnexus/pgad052 | npj Clean Energy | 2,023 | Stefaniuk, D.; Hajduczek, M.; Weaver, J.; Ulm, F.; Masic, A. | Abstract
Addressing the existing gap between currently available mitigation strategies for greenhouse gas emissions associated with ordinary Portland cement production and the 2050 carbon neutrality goal represents a significant challenge. In order to bridge this gap, one potential option is the direct g... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Carbon Capture & Storage | |
Implementation of carbon pricing in an aging world calls for targeted protection schemes | 10.1093/pnasnexus/pgad209 | https://doi.org/10.1093/pnasnexus/pgad209 | npj Clean Energy | 2,023 | Tian, P.; Feng, K.; Zheng, H.; Hubacek, K.; Li, J. | AbstractUnderstanding the impact of climate fiscal policies on vulnerable groups is a prerequisite for equitable climate mitigation. However, there has been a lack of attention to the impacts of such policies on the elderly, especially the low-income elderly, in existing climate policy literature. Here, we quantify and... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Near-term investments in forest management support long-term carbon sequestration capacity in forests of the United States | 10.1093/pnasnexus/pgad345 | https://doi.org/10.1093/pnasnexus/pgad345 | npj Clean Energy | 2,023 | Coulston, J.; Domke, G.; Walker, D.; Brooks, E.; O’Dea, C. | Abstract
The forest carbon sink of the United States offsets emissions in other sectors. Recently passed US laws include important climate legislation for wildfire reduction, forest restoration, and forest planting. In this study, we examine how wildfire reduction strategies and planting might alter the ... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | |
Solutions to agricultural green water scarcity under climate change | 10.1093/pnasnexus/pgad117 | https://doi.org/10.1093/pnasnexus/pgad117 | npj Clean Energy | 2,023 | He, L.; Rosa, L. | Abstract
Rain-fed agricultural systems, which solely depend on green water (i.e. soil moisture from rainfall), sustain ∼60% of global food production and are particularly vulnerable to vagaries in temperature and precipitation patterns, which are intensifying due to climate change. Here, using projection... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Environmental problem shifting from climate change mitigation: A mapping review | 10.1093/pnasnexus/pgad448 | https://doi.org/10.1093/pnasnexus/pgad448 | npj Clean Energy | 2,023 | Wood Hansen, O.; van den Bergh, J. | AbstractClimate change mitigation will trigger major changes in human activity, energy systems, and material use, potentially shifting pressure from climate change to other environmental problems. We provide a comprehensive overview of such “environmental problem shifting” (EPS). While there is considerable research on... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Increase in grain production potential of China under climate change | 10.1093/pnasnexus/pgad057 | https://doi.org/10.1093/pnasnexus/pgad057 | npj Clean Energy | 2,023 | Liang, Z.; Sun, L.; Tian, Z.; Fischer, G.; Yan, H. | Abstract
The rapid growth of China's demand for grains is expected to continue in the coming decades, largely as a result of the increasing feed demand to produce protein-rich food. This leads to a great concern on future supply potentials of Chinese agriculture under climate change and the extent of Chi... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Policy & Social Factors | |
Multisectoral drivers of decarbonizing battery electric vehicles in China | 10.1093/pnasnexus/pgad123 | https://doi.org/10.1093/pnasnexus/pgad123 | npj Clean Energy | 2,023 | Wang, F.; Zhang, S.; Zhao, Y.; Ma, Y.; Zhang, Y. | Abstract
China has made great progress in the electrification of passenger cars, and the sales of battery electric vehicles (BEVs) have exceeded 10%. We applied a life-cycle assessment (LCA) method to estimate the carbon dioxide (CO2) emissions of the past (2015), present (2020), and future (2030) BEVs, ... | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | LCA & Sustainability | |
Flying cars economically favor battery electric over fuel cell and internal combustion engine | 10.1093/pnasnexus/pgad019 | https://doi.org/10.1093/pnasnexus/pgad019 | npj Clean Energy | 2,023 | Liu, M.; Hao, H.; Lin, Z.; He, X.; Qian, Y. | Abstract
Flying cars, essentially vertical takeoff and landing aircraft (VTOL), are an emerging, disruptive technology that is expected to reshape future transportation. VTOLs can be powered by battery electric, fuel cell, or internal combustion engine, which point to entirely different needs for industr... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
New estimates of the storage permanence and ocean co-benefits of enhanced rock weathering | 10.1093/pnasnexus/pgad059 | https://doi.org/10.1093/pnasnexus/pgad059 | npj Clean Energy | 2,023 | Kanzaki, Y.; Planavsky, N.; Reinhard, C. | Abstract
Avoiding many of the most severe consequences of anthropogenic climate change in the coming century will very likely require the development of “negative emissions technologies”—practices that lead to net carbon dioxide removal (CDR) from Earth's atmosphere. However, feedbacks within the carbon ... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | |
The impact of China’s energy saving and emission reduction demonstration city policy on urban green technology innovation | 10.1038/s41598-023-42520-4 | https://doi.org/10.1038/s41598-023-42520-4 | Scientific Reports | 2,023 | Nie, C.; Li, R.; Feng, Y.; Chen, Z. | AbstractUrban green technology innovation (UGTI) is strongly tied to environmental regulations, which can successfully balance economic and environmental benefits. Selecting the panel data for 280 Chinese cities during 2006–2019, we take the energy saving and emission reduction (ESER) demonstration city policy as a qua... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Spatial correlation network structure of energy-environment efficiency and its driving factors: a case study of the Yangtze River Delta Urban Agglomeration | 10.1038/s41598-023-47370-8 | https://doi.org/10.1038/s41598-023-47370-8 | Scientific Reports | 2,023 | Liu, S.; Yuan, J. | AbstractImproving energy-environment efficiency is not only a requirement for constructing China’s ecological civilization but also inevitable for achieving sustainable economic and social development. Studies on energy-environment efficiency based on relational data and network perspectives are limited, which hinders ... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Air-conditioning adoption and electricity demand highlight climate change mitigation–adaptation tradeoffs | 10.1038/s41598-023-31469-z | https://doi.org/10.1038/s41598-023-31469-z | Scientific Reports | 2,023 | Colelli, F.; Wing, I.; Cian, E. | AbstractWe elucidate mid-century climate change impacts on electricity demand accounting for endogenous adoption of residential air-conditioning (AC) in affluent, cooler countries in Europe, and in poorer, hotter states in India. By 2050, in a high-warming scenario (SSP585) AC prevalence grows twofold in Europe and fou... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Interrelationships between urban travel demand and electricity consumption: a deep learning approach | 10.1038/s41598-023-33133-y | https://doi.org/10.1038/s41598-023-33133-y | Scientific Reports | 2,023 | Movahedi, A.; Parsa, A.; Rozhkov, A.; Lee, D.; Mohammadian, A. | AbstractThe analysis of infrastructure use data in relation to other components of the infrastructure can help better understand the interrelationships between infrastructures to eventually enhance their sustainability and resilience. In this study, we focus on electricity consumption and travel demand. In short, the p... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | LCA & Sustainability | |
EU climate action through an energy poverty lens | 10.1038/s41598-023-32705-2 | https://doi.org/10.1038/s41598-023-32705-2 | Scientific Reports | 2,023 | Vandyck, T.; Della Valle, N.; Temursho, U.; Weitzel, M. | AbstractCarbon pricing can steer energy choices towards low-carbon fuels and foster energy conservation efforts. Simultaneously, higher fossil fuel prices may exacerbate energy poverty. A just portfolio of climate policies therefore requires a balanced instrument mix to jointly combat climate change and energy poverty.... | CrossRef | FLEXERGY | Socioeconomic & Energy Consumption | Demand Response & New Mobilities & Urban Planning | Policy & Social Factors | |
Blending controlled-release urea and urea under ridge-furrow with plastic film mulching improves yield while mitigating carbon footprint in rainfed potato | 10.1038/s41598-022-25845-4 | https://doi.org/10.1038/s41598-022-25845-4 | Scientific Reports | 2,023 | Sun, M.; Ma, B.; Lu, P.; Bai, J.; Mi, J. | AbstractRidge-furrow with plastic film mulching and various urea types have been applied in rainfed agriculture, but their interactive effects on potato (Solanum tuberosum L.) yield and especially environments remain poorly understood. A three-year experiment was conducted to explore the responses of tuber yield, metha... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Policy & Social Factors | |
Household energy-saving behavior, its consumption, and life satisfaction in 37 countries | 10.1038/s41598-023-28368-8 | https://doi.org/10.1038/s41598-023-28368-8 | Scientific Reports | 2,023 | Piao, X.; Managi, S. | AbstractSince energy consumption became an important contributor to climate change owing to carbon emissions, energy-saving behavior and expenditure at the household level have been attracting scholars’ and policymakers’ attention. This study identified whether greenhouse gas emissions at the household level can be red... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Demand Response & New Mobilities & Urban Planning | Policy & Social Factors | |
On the origin of carbon sources in the electrochemical upgrade of CO2 from carbon capture solutions | 10.1016/j.joule.2023.05.010 | https://doi.org/10.1016/j.joule.2023.05.010 | Joule | 2,023 | Shen, K.; Cheng, D.; Reyes-Lopez, E.; Jang, J.; Sautet, P. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
Future demand for electricity generation materials under different climate mitigation scenarios | 10.1016/j.joule.2023.01.001 | https://doi.org/10.1016/j.joule.2023.01.001 | Joule | 2,023 | Wang, S.; Hausfather, Z.; Davis, S.; Lloyd, J.; Olson, E. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Trading rights to consume wind in presence of farm-farm interactions | 10.1016/j.joule.2023.05.015 | https://doi.org/10.1016/j.joule.2023.05.015 | Joule | 2,023 | Kenis, M.; Lanzilao, L.; Bruninx, K.; Meyers, J.; Delarue, E. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Alternative, but expensive, energy transition scenario featuring carbon capture and utilization can preserve existing energy demand technologies | 10.1016/j.oneear.2023.06.005 | https://doi.org/10.1016/j.oneear.2023.06.005 | One Earth | 2,023 | Oshiro, K.; Fujimori, S.; Hasegawa, T.; Asayama, S.; Shiraki, H. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
Solar geoengineering and carbon removal significantly lower economic climate damages | 10.1016/j.oneear.2023.09.004 | https://doi.org/10.1016/j.oneear.2023.09.004 | One Earth | 2,023 | Liu, A.; Moore, J.; Cheng, X.; Chen, Y. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Policy & Social Factors | ||
Demand-side emission reduction through behavior change or technology adoption? Empirical evidence from UK heating, mobility, and electricity use | 10.1016/j.oneear.2023.03.012 | https://doi.org/10.1016/j.oneear.2023.03.012 | One Earth | 2,023 | Geels, F. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Increasing meteorological drought under climate change reduces terrestrial ecosystem productivity and carbon storage | 10.1016/j.oneear.2023.09.007 | https://doi.org/10.1016/j.oneear.2023.09.007 | One Earth | 2,023 | Zeng, Z.; Wu, W.; Li, Y.; Huang, C.; Zhang, X. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Techno-economic assessment of implementing photovoltaic water villas in Maldives | 10.1016/j.isci.2023.106658 | https://doi.org/10.1016/j.isci.2023.106658 | iScience | 2,023 | Qi, L.; Wang, Y.; Song, J.; Yin, C.; Yan, J. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Policy & Social Factors | ||
China’s domestic industry redistribution facilitates carbon emissions mitigation | 10.1016/j.isci.2023.106844 | https://doi.org/10.1016/j.isci.2023.106844 | iScience | 2,023 | Zhang, Z.; Gao, X.; Tian, K.; Yang, C.; Wang, S. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Revisiting electric vehicle life cycle greenhouse gas emissions in China: A marginal emission perspective | 10.1016/j.isci.2023.106565 | https://doi.org/10.1016/j.isci.2023.106565 | iScience | 2,023 | Zhong, Z.; Yu, Y.; Zhao, X. | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | LCA & Sustainability | ||
Influence of carbon derivatives on carbon capture investments in coal-based power sector, a China perspective | 10.1016/j.isci.2023.108026 | https://doi.org/10.1016/j.isci.2023.108026 | iScience | 2,023 | Wang, C.; Wang, X. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
Region-wise evaluation of price-based demand response programs in Japan’s wholesale electricity market considering microeconomic equilibrium | 10.1016/j.isci.2023.106978 | https://doi.org/10.1016/j.isci.2023.106978 | iScience | 2,023 | Malehmirchegini, L.; Suliman, M.; Farzaneh, H. | CrossRef | FLEXERGY | Demand Response | Demand Response & New Mobilities & Urban Planning | Policy & Social Factors | ||
Spatiotemporal analysis of the future carbon footprint of solar electricity in the United States by a dynamic life cycle assessment | 10.1016/j.isci.2023.106188 | https://doi.org/10.1016/j.isci.2023.106188 | iScience | 2,023 | Lu, J.; Tang, J.; Shan, R.; Li, G.; Rao, P. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | LCA & Sustainability | ||
Incorporating carbon sequestration toward a water-energy-food-carbon planning with uncertainties | 10.1016/j.isci.2023.107669 | https://doi.org/10.1016/j.isci.2023.107669 | iScience | 2,023 | Zuo, Q.; Li, Q.; Yang, L.; Jing, R.; Ma, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
Very high-energy gamma-ray emission beyond 10 TeV from GRB 221009A | 10.1126/sciadv.adj2778 | https://doi.org/10.1126/sciadv.adj2778 | Science Advances | 2,023 | , . |
The highest-energy gamma-rays from gamma-ray bursts (GRBs) have important implications for their radiation mechanism. Here we report the detection of gamma-rays up to 13 teraelectronvolts from the brightest GRB 221009A by the Large High Altitude Air-shower Observatory (LHAASO). The LHAASO-KM2A detector reg... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Machine learning for industrial processes: Forecasting amine emissions from a carbon capture plant | 10.1126/sciadv.adc9576 | https://doi.org/10.1126/sciadv.adc9576 | Science Advances | 2,023 | Jablonka, K.; Charalambous, C.; Sanchez Fernandez, E.; Wiechers, G.; Monteiro, J. | One of the main environmental impacts of amine-based carbon capture processes is the emission of the solvent into the atmosphere. To understand how these emissions are affected by the intermittent operation of a power plant, we performed stress tests on a plant operating with a mixture of two amines, 2-amino-2-methyl-1... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | |
Will reshoring manufacturing of advanced electric vehicle battery support renewable energy transition and climate targets? | 10.1126/sciadv.adg6740 | https://doi.org/10.1126/sciadv.adg6740 | Science Advances | 2,023 | Lal, A.; You, F. | Recent global logistics and geopolitical challenges draw attention to the potential raw material shortages for electric vehicle (EV) batteries. Here, we analyze the long-term energy and sustainability prospects to ensure a secure and resilient midstream and downstream value chain for the U.S. EV battery market amid unc... | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | LCA & Sustainability | |
Light-stimulated micromotor swarms in an electric field with accurate spatial, temporal, and mode control | 10.1126/sciadv.adi9932 | https://doi.org/10.1126/sciadv.adi9932 | Science Advances | 2,023 | Liang, Z.; Joh, H.; Lian, B.; Fan, D. | Swarming, a phenomenon widely present in nature, is a hallmark of nonequilibrium living systems that harness external energy into collective locomotion. The creation and study of manmade swarms may provide insights into their biological counterparts and shed light to the rules of life. Here, we propose an innovative me... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
An Artificial Intelligence Dataset for Solar Energy Locations in India | 10.1038/s41597-022-01499-9 | https://doi.org/10.1038/s41597-022-01499-9 | Scientific Data | 2,022 | Ortiz, A.; Negandhi, D.; Mysorekar, S.; Nagaraju, S.; Kiesecker, J. | AbstractRapid development of renewable energy sources, particularly solar photovoltaics (PV), is critical to mitigate climate change. As a result, India has set ambitious goals to install 500 gigawatts of solar energy capacity by 2030. Given the large footprint projected to meet renewables energy targets, the potential... | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Climate Mitigation | |
A high spatial resolution dataset for anthropogenic atmospheric mercury emissions in China during 1998–2014 | 10.1038/s41597-022-01725-4 | https://doi.org/10.1038/s41597-022-01725-4 | Scientific Data | 2,022 | Chang, W.; Zhong, Q.; Liang, S.; Qi, J.; Jetashree, . | AbstractChina is the largest atmospheric mercury (Hg) emitter globally, which has been substantially investigated. However, the estimation of national or regional Hg emissions in China is insufficient in supporting emission control, as the location of the sources may have significant impacts on the effects of Hg emissi... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Policy & Social Factors | |
U.S. national water and energy land dataset for integrated multisector dynamics research | 10.1038/s41597-022-01290-w | https://doi.org/10.1038/s41597-022-01290-w | Scientific Data | 2,022 | Sturtevant, J.; McManamay, R.; DeRolph, C. | AbstractUnderstanding resource demands and tradeoffs among energy, water, and land socioeconomic sectors requires an explicit consideration of spatial scale. However, incorporation of land dynamics within the energy-water nexus has been limited due inconsistent spatial units of observation from disparate data sources. ... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Energy audit and carbon footprint in trawl fisheries | 10.1038/s41597-022-01478-0 | https://doi.org/10.1038/s41597-022-01478-0 | Scientific Data | 2,022 | Sala, A.; Damalas, D.; Labanchi, L.; Martinsohn, J.; Moro, F. | AbstractThe combustion of fossil fuels is considered a major cause of climate change, which is why the reduction of emissions has become a key goal of the Paris climate agreement. Coherent monitoring of the energy profile of fishing vessels through an energy audit can effectively identify sources of inefficiency, allow... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Climate Mitigation |
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