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Attributing agnostically detected large reductions in road CO2 emissions to policy mixes | 10.1038/s41560-022-01095-6 | https://doi.org/10.1038/s41560-022-01095-6 | Nature Energy | 2,022 | Koch, N.; Naumann, L.; Pretis, F.; Ritter, N.; Schwarz, M. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Techno-economic analysis of renewable fuels for ships carrying bulk cargo in Europe | 10.1038/s41560-021-00957-9 | https://doi.org/10.1038/s41560-021-00957-9 | Nature Energy | 2,022 | Stolz, B.; Held, M.; Georges, G.; Boulouchos, K. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
High-performing organic electronics using terpene green solvents from renewable feedstocks | 10.1038/s41560-022-01167-7 | https://doi.org/10.1038/s41560-022-01167-7 | Nature Energy | 2,022 | Corzo, D.; Rosas-Villalva, D.; C, A.; Tostado-Blázquez, G.; Alexandre, E. | AbstractAccelerating the shift towards renewable materials and sustainable processes for printed organic electronic devices is crucial for a green circular economy. Currently, the fabrication of organic devices with competitive performances is linked to toxic petrochemical-based solvents with considerable carbon emissi... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | LCA & Sustainability | |
Integrated hydrological, power system and economic modelling of climate impacts on electricity demand and cost | 10.1038/s41560-021-00958-8 | https://doi.org/10.1038/s41560-021-00958-8 | Nature Energy | 2,022 | Webster, M.; Fisher-Vanden, K.; Kumar, V.; Lammers, R.; Perla, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Development of onshore wind turbine fleet counteracts climate change-induced reduction in global capacity factor | 10.1038/s41560-022-01056-z | https://doi.org/10.1038/s41560-022-01056-z | Nature Energy | 2,022 | Jung, C.; Schindler, D. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Charging infrastructure access and operation to reduce the grid impacts of deep electric vehicle adoption | 10.1038/s41560-022-01105-7 | https://doi.org/10.1038/s41560-022-01105-7 | Nature Energy | 2,022 | Powell, S.; Cezar, G.; Min, L.; Azevedo, I.; Rajagopal, R. | AbstractElectric vehicles will contribute to emissions reductions in the United States, but their charging may challenge electricity grid operations. We present a data-driven, realistic model of charging demand that captures the diverse charging behaviours of future adopters in the US Western Interconnection. We study ... | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Policy & Social Factors | |
Energy demand reduction options for meeting national zero-emission targets in the United Kingdom | 10.1038/s41560-022-01057-y | https://doi.org/10.1038/s41560-022-01057-y | Nature Energy | 2,022 | Barrett, J.; Pye, S.; Betts-Davies, S.; Broad, O.; Price, J. | AbstractIn recent years, global studies have attempted to understand the contribution that energy demand reduction could make to climate mitigation efforts. Here we develop a bottom-up, whole-system framework that comprehensively estimates the potential for energy demand reduction at a country level. Replicable for oth... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Climate Mitigation | |
Re-thinking procurement incentives for electric vehicles to achieve net-zero emissions | 10.1038/s41893-022-00862-3 | https://doi.org/10.1038/s41893-022-00862-3 | Nature Sustainability | 2,022 | Nunes, A.; Woodley, L.; Rossetti, P. | AbstractProcurement incentives are a widely leveraged policy lever to stimulate electric vehicle (EV) sales. However, their effectiveness in reducing transportation emissions depends on the behavioural characteristics of EV adopters. When an EV is used, under what conditions and by whom dictates whether or not these ve... | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Policy & Social Factors | |
Energy requirements and carbon emissions for a low-carbon energy transition | 10.1038/s41467-022-33976-5 | https://doi.org/10.1038/s41467-022-33976-5 | Nature Communications | 2,022 | Slameršak, A.; Kallis, G.; O’Neill, D. | AbstractAchieving the Paris Agreement will require massive deployment of low-carbon energy. However, constructing, operating, and maintaining a low-carbon energy system will itself require energy, with much of it derived from fossil fuels. This raises the concern that the transition may consume much of the energy avail... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Resilience of urban public electric vehicle charging infrastructure to flooding | 10.1038/s41467-022-30848-w | https://doi.org/10.1038/s41467-022-30848-w | Nature Communications | 2,022 | Raman, G.; Raman, G.; Peng, J. | AbstractAn adequate charging infrastructure is key to enabling high personal electric vehicle (EV) adoption rates. However, urban flooding—whose frequency and intensity are increasing due to climate change—may be an impediment. Here, we study how geographically-correlated outages due to floods impact public EV charging... | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Climate Mitigation | |
Regional trade agreement burdens global carbon emissions mitigation | 10.1038/s41467-022-28004-5 | https://doi.org/10.1038/s41467-022-28004-5 | Nature Communications | 2,022 | Tian, K.; Zhang, Y.; Li, Y.; Ming, X.; Jiang, S. | Abstract
Regional trade agreements (RTAs) have been widely adopted to facilitate international trade and cross-border investment and promote economic development. However, ex ante measurements of the environmental effects of RTAs to date have not been well conducted. Here, we esti... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Uncertainty modulates visual maps during noninstrumental information demand | 10.1038/s41467-022-33585-2 | https://doi.org/10.1038/s41467-022-33585-2 | Nature Communications | 2,022 | Li, Y.; Daddaoua, N.; Horan, M.; Foley, N.; Gottlieb, J. | AbstractAnimals are intrinsically motivated to obtain information independently of instrumental incentives. This motivation depends on two factors: a desire to resolve uncertainty by gathering accurate information and a desire to obtain positively-valenced observations, which predict favorable rather than unfavorable o... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Electrifying passenger road transport in India requires near-term electricity grid decarbonisation | 10.1038/s41467-022-29620-x | https://doi.org/10.1038/s41467-022-29620-x | Nature Communications | 2,022 | Abdul-Manan, A.; Gordillo Zavaleta, V.; Agarwal, A.; Kalghatgi, G.; Amer, A. | AbstractBattery-electric vehicles (BEV) have emerged as a favoured technology solution to mitigate transport greenhouse gas (GHG) emissions in many non-Annex 1 countries, including India. GHG mitigation potentials of electric 4-wheelers in India depend critically on when and where they are charged: 40% reduction in the... | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Climate Mitigation | |
Reversible Power-to-Gas systems for energy conversion and storage | 10.1038/s41467-022-29520-0 | https://doi.org/10.1038/s41467-022-29520-0 | Nature Communications | 2,022 | Glenk, G.; Reichelstein, S. | Abstract
In the transition to decarbonized energy systems, Power-to-Gas (PtG) processes have the potential to connect the existing markets for electricity and hydrogen. Specifically, reversible PtG systems can convert electricity to hydrogen at times of ample power supply, yet they can also operate in... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Policy & Social Factors | |
Electricity consumption variation versus economic structure during COVID-19 on metropolitan statistical areas in the US | 10.1038/s41467-022-34447-7 | https://doi.org/10.1038/s41467-022-34447-7 | Nature Communications | 2,022 | Wang, J.; Li, F.; Cui, H.; Shi, Q.; Mingee, T. | AbstractThe outbreak of novel coronavirus disease (COVID-19) has resulted in changes in productivity and daily life patterns, and as a result electricity consumption (EC) has also shifted. In this paper, we construct estimates of EC changes at the metropolitan level across the continental U.S., including total EC and r... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Rising ecosystem water demand exacerbates the lengthening of tropical dry seasons | 10.1038/s41467-022-31826-y | https://doi.org/10.1038/s41467-022-31826-y | Nature Communications | 2,022 | Xu, H.; Lian, X.; Slette, I.; Yang, H.; Zhang, Y. | Abstract
Precipitation-based assessments show a lengthening of tropical dry seasons under climate change, without considering simultaneous changes in ecosystem water demand. Here, we compare changes in tropical dry season length and timing when dry season is defined as the period when precipitation is... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Renewable energy certificates allow companies to overstate their emission reductions | 10.1038/s41558-022-01385-7 | https://doi.org/10.1038/s41558-022-01385-7 | Nature Climate Change | 2,022 | Bjørn, A.; Lloyd, S.; Brander, M.; Matthews, H. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Widespread shift from ecosystem energy to water limitation with climate change | 10.1038/s41558-022-01403-8 | https://doi.org/10.1038/s41558-022-01403-8 | Nature Climate Change | 2,022 | Denissen, J.; Teuling, A.; Pitman, A.; Koirala, S.; Migliavacca, M. | AbstractTerrestrial ecosystems are essential for food and water security and CO2 uptake. Ecosystem function is dependent on the availability of soil moisture, yet it is unclear how climate change will alter soil moisture limitation on vegetation. Here we use an ecosystem index that distinguishes energy and water limita... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Climate change threatens terrestrial water storage over the Tibetan Plateau | 10.1038/s41558-022-01443-0 | https://doi.org/10.1038/s41558-022-01443-0 | Nature Climate Change | 2,022 | Li, X.; Long, D.; Scanlon, B.; Mann, M.; Li, X. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Feasibility of hybrid in-stream generator–photovoltaic systems for Amazonian off-grid communities | 10.1093/pnasnexus/pgac077 | https://doi.org/10.1093/pnasnexus/pgac077 | npj Clean Energy | 2,022 | Brown, E.; Johansen, I.; Bortoleto, A.; Pokhrel, Y.; Chaudhari, S. | Abstract
While there have been efforts to supply off-grid energy in the Amazon, these attempts have focused on low upfront costs and deployment rates. These “get-energy-quick” methods have almost solely adopted diesel generators, ignoring the environmental and social risks associated with the known noise... | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Policy & Social Factors | |
Unexpected no significant soil carbon losses in the Tibetan grasslands due to rodent bioturbation | 10.1093/pnasnexus/pgac314 | https://doi.org/10.1093/pnasnexus/pgac314 | npj Clean Energy | 2,022 | Huang, M.; Gan, D.; Li, Z.; Wang, J.; Niu, S. | AbstractThe Tibetan grasslands store 2.5% of the Earth’s soil organic carbon. Unsound management practices and climate change have resulted in widespread grassland degradation, providing open habitats for rodent activities. Rodent bioturbation loosens topsoil, reduces productivity, changes soil nutrient conditions, and... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Structural measures of personal networks predict migrants’ cultural backgrounds: an explanation from Grid/Group theory | 10.1093/pnasnexus/pgac195 | https://doi.org/10.1093/pnasnexus/pgac195 | npj Clean Energy | 2,022 | Molina, J.; Ozaita, J.; Tamarit, I.; Sánchez, A.; McCarty, C. | Abstract
Culture and social structure are not separated analytical domains but intertwined phenomena observable in personal networks. Drawing on a personal networks dataset of migrants in the United States and Spain, we show that the country of origin, a proxy for diverse languages and cultural instituti... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Cryocampsis: a biophysical freeze-bending response of shrubs and trees under snow loads | 10.1093/pnasnexus/pgac131 | https://doi.org/10.1093/pnasnexus/pgac131 | npj Clean Energy | 2,022 | Ray, P.; Bret-Harte, M. | Abstract
We report a biophysical mechanism, termed cryocampsis (Greek cryo-, cold, + campsis, bending), that helps northern shrubs bend downward under a snow load. Subfreezing temperatures substantially increase the downward bending of cantilever-loaded branches of these shrubs, while allowing them to re... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Heterogeneous climate change impacts on electricity demand in world cities circa mid-century | 10.1038/s41598-022-07922-w | https://doi.org/10.1038/s41598-022-07922-w | Scientific Reports | 2,022 | Romitti, Y.; Sue Wing, I. | Abstract
Rising ambient temperatures due to climate change will increase urban populations’ exposures to extreme heat. During hot hours, a key protective adaptation is increased air conditioning and associated consumption of electricity for cooling. But during cold hours, milder t... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Author Correction: Heterogeneous climate change impacts on electricity demand in world cities circa mid-century | 10.1038/s41598-022-09077-0 | https://doi.org/10.1038/s41598-022-09077-0 | Scientific Reports | 2,022 | Romitti, Y.; Sue Wing, I. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Linking the long-term variability in global wave energy to swell climate and redefining suitable coasts for energy exploitation | 10.1038/s41598-022-18935-w | https://doi.org/10.1038/s41598-022-18935-w | Scientific Reports | 2,022 | Kamranzad, B.; Amarouche, K.; Akpinar, A. | AbstractThe sustainability of wave energy linked to the intra- and inter-annual variability in wave climate is crucial in wave resource assessment. In this study, we quantify the dependency of stability of wave energy flux (power) on long-term variability of wind and wave climate to detect a relationship between them. ... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | LCA & Sustainability | |
Influence of green technology, green energy consumption, energy efficiency, trade, economic development and FDI on climate change in South Asia | 10.1038/s41598-022-20432-z | https://doi.org/10.1038/s41598-022-20432-z | Scientific Reports | 2,022 | Tariq, G.; Sun, H.; Ali, I.; Pasha, A.; Khan, M. | AbstractClimate change policy has several potential risks. The purpose of this study is to investigate the impact of green technology development, green energy consumption, energy efficiency, foreign direct investment, economic growth, and trade (imports and exports) on greenhouse gas (GHG) emissions in South Asia from... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Authentication of smart grid communications using quantum key distribution | 10.1038/s41598-022-16090-w | https://doi.org/10.1038/s41598-022-16090-w | Scientific Reports | 2,022 | Alshowkan, M.; Evans, P.; Starke, M.; Earl, D.; Peters, N. | AbstractSmart grid solutions enable utilities and customers to better monitor and control energy use via information and communications technology. Information technology is intended to improve the future electric grid’s reliability, efficiency, and sustainability by implementing advanced monitoring and control systems... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | LCA & Sustainability | |
Collection mode choice of spent electric vehicle batteries: considering collection competition and third-party economies of scale | 10.1038/s41598-022-10433-3 | https://doi.org/10.1038/s41598-022-10433-3 | Scientific Reports | 2,022 | Li, X. | AbstractWith the rapid development of the electric vehicle (EV) industry, the recycling of spent EV batteries has attracted considerable attention. The establishment and optimization of the collection mode is a key link in regulating the recycling of spent EV batteries. This paper investigates an EV battery supply chai... | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | LCA & Sustainability | |
Inter-annual variation patterns in the carbon footprint of farmland ecosystems in Guangdong Province, China | 10.1038/s41598-022-18425-z | https://doi.org/10.1038/s41598-022-18425-z | Scientific Reports | 2,022 | Guotong, Q.; Fei, C.; Na, W.; Dandan, Z. | AbstractCarbon sequestration in farmland ecosystems is an important link in the world carbon cycle and plays an important role in regional carbon reduction. Guangdong, a major industrial and economic province in China, was used as the study area, and the period 2001–2020 was taken as the study period. The carbon emissi... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | |
Low-carbon economic dispatch considering integrated demand response and multistep carbon trading for multi-energy microgrid | 10.1038/s41598-022-10123-0 | https://doi.org/10.1038/s41598-022-10123-0 | Scientific Reports | 2,022 | Long, Y.; Li, Y.; Wang, Y.; Cao, Y.; Jiang, L. | AbstractWith the rapid development of distributed energy resources and natural gas power generation, multi-energy microgrid (MEMG) is considered as a critical technology to increase the penetration of renewable energy and achieve the target of carbon emission reduction. Therefore, this paper proposes a low-carbon econo... | CrossRef | EnergiTrade | Energy & Carbon Trading | Carbon Trading & New Business Models | Policy & Social Factors | |
National energy security or acceleration of transition? Energy policy after the war in Ukraine | 10.1016/j.joule.2022.03.009 | https://doi.org/10.1016/j.joule.2022.03.009 | Joule | 2,022 | Żuk, P.; Żuk, P. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Battery anode interphase construction via carbon capture | 10.1016/j.joule.2022.04.019 | https://doi.org/10.1016/j.joule.2022.04.019 | Joule | 2,022 | Shang, Y.; Kundu, D. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
Private risk and social resilience in liberalized electricity markets | 10.1016/j.joule.2022.01.004 | https://doi.org/10.1016/j.joule.2022.01.004 | Joule | 2,022 | Mays, J.; Craig, M.; Kiesling, L.; Macey, J.; Shaffer, B. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Policy & Social Factors | ||
Policy-driven solar innovation and deployment remains critical for US grid decarbonization | 10.1016/j.joule.2022.07.012 | https://doi.org/10.1016/j.joule.2022.07.012 | Joule | 2,022 | O’Shaughnessy, E.; Ardani, K.; Denholm, P.; Mai, T.; Silverman, T. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Policy & Social Factors | ||
Toward solar-driven carbon recycling | 10.1016/j.joule.2022.01.001 | https://doi.org/10.1016/j.joule.2022.01.001 | Joule | 2,022 | Lin, H.; Luo, S.; Zhang, H.; Ye, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | LCA & Sustainability | ||
Building sustainability into battery value chains | 10.1016/j.oneear.2022.03.002 | https://doi.org/10.1016/j.oneear.2022.03.002 | One Earth | 2,022 | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | LCA & Sustainability | |||
Plant-level mitigation strategies could enable carbon neutrality by 2060 and reduce non-CO2 emissions in China’s iron and steel sector | 10.1016/j.oneear.2022.07.006 | https://doi.org/10.1016/j.oneear.2022.07.006 | One Earth | 2,022 | Li, Z.; Hanaoka, T. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Carbon capture and storage investment: Fiddling while the planet burns | 10.1016/j.oneear.2022.03.008 | https://doi.org/10.1016/j.oneear.2022.03.008 | One Earth | 2,022 | Pratama, Y.; Mac Dowell, N. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
The role of innovation for economy and sustainability of photovoltaic modules | 10.1016/j.isci.2022.105208 | https://doi.org/10.1016/j.isci.2022.105208 | iScience | 2,022 | Peters, I.; Hauch, J.; Brabec, C. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | LCA & Sustainability | ||
How do China’s lockdown and post-COVID-19 stimuli impact carbon emissions and economic output? Retrospective estimates and prospective trajectories | 10.1016/j.isci.2022.104328 | https://doi.org/10.1016/j.isci.2022.104328 | iScience | 2,022 | Shao, S.; Wang, C.; Feng, K.; Guo, Y.; Feng, F. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Economics of planning electricity transmission considering environmental and health externalities | 10.1016/j.isci.2022.104815 | https://doi.org/10.1016/j.isci.2022.104815 | iScience | 2,022 | Yi, B.; Zhang, S.; Fan, Y. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Optimal deployment for carbon capture enables more than half of China’s coal-fired power plant to achieve low-carbon transformation | 10.1016/j.isci.2022.105664 | https://doi.org/10.1016/j.isci.2022.105664 | iScience | 2,022 | Yang, L.; Wei, N.; Lv, H.; Zhang, X. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
Electrostatic dust removal using adsorbed moisture–assisted charge induction for sustainable operation of solar panels | 10.1126/sciadv.abm0078 | https://doi.org/10.1126/sciadv.abm0078 | Science Advances | 2,022 | Panat, S.; Varanasi, K. | Dust accumulation on solar panels is a major challenge, as it blocks a large portion of sunlight. Solar panels are therefore cleaned regularly using large quantities of pure water. Consumption of water for cleaning, especially in deserts, poses a substantial sustainability challenge. Here, we present a waterless approa... | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | LCA & Sustainability | |
Escalating carbon emissions from North American boreal forest wildfires and the climate mitigation potential of fire management | 10.1126/sciadv.abl7161 | https://doi.org/10.1126/sciadv.abl7161 | Science Advances | 2,022 | Phillips, C.; Rogers, B.; Elder, M.; Cooperdock, S.; Moubarak, M. | Wildfires in boreal forests release large quantities of greenhouse gases to the atmosphere, exacerbating climate change. Here, we characterize the magnitude of recent and projected gross and net boreal North American wildfire carbon dioxide emissions, evaluate fire management as an emissions reduction strategy, and qua... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Geographically resolved social cost of anthropogenic emissions accounting for both direct and climate-mediated effects | 10.1126/sciadv.abn7307 | https://doi.org/10.1126/sciadv.abn7307 | Science Advances | 2,022 | Burney, J.; Persad, G.; Proctor, J.; Bendavid, E.; Burke, M. | The magnitude and distribution of physical and societal impacts from long-lived greenhouse gases are insensitive to the emission source location; the same is not true for major coemitted short-lived pollutants such as aerosols. Here, we combine novel global climate model simulations with established response functions ... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Impacts of wind power on air quality, premature mortality, and exposure disparities in the United States | 10.1126/sciadv.abn8762 | https://doi.org/10.1126/sciadv.abn8762 | Science Advances | 2,022 | Qiu, M.; Zigler, C.; Selin, N. | Understanding impacts of renewable energy on air quality and associated human exposures is essential for informing future policy. We estimate the impacts of U.S. wind power on air quality and pollution exposure disparities using hourly data from 2011 to 2017 and detailed atmospheric chemistry modeling. Wind power assoc... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Semiautomated synthesis of sequence-defined polymers for information storage | 10.1126/sciadv.abl8614 | https://doi.org/10.1126/sciadv.abl8614 | Science Advances | 2,022 | Lee, J.; Kwon, J.; Lee, S.; Jang, H.; Kim, D. |
Accelerated and parallel synthesis of sequence-defined polymers is an utmost challenge for realizing ultrahigh-density storage of digital information in molecular media. Here, we report step-economical synthesis of sequence-defined poly(
l
-lactic-
co
-glycol... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Role of the social factors in success of solar photovoltaic reuse and recycle programmes | 10.1038/s41560-021-00888-5 | https://doi.org/10.1038/s41560-021-00888-5 | Nature Energy | 2,021 | Walzberg, J.; Carpenter, A.; Heath, G. | Abstract
By 2050, the cumulative mass of end-of-life photovoltaic (PV) modules may reach 80 Mt globally. The impacts could be mitigated by module recycling, repair and reuse; however, previous studies of PV circularity omit the consideration of critical social factors. Here we used an agent-based mode... | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | LCA & Sustainability | |
Modelling of supply and demand-side determinants of liquefied petroleum gas consumption in peri-urban Cameroon, Ghana and Kenya | 10.1038/s41560-021-00933-3 | https://doi.org/10.1038/s41560-021-00933-3 | Nature Energy | 2,021 | Shupler, M.; Mangeni, J.; Tawiah, T.; Sang, E.; Baame, M. | Abstract
Household transitions to cleaner cooking fuels (for example, liquefied petroleum gas (LPG)) have historically been studied from a demand perspective, with clean energy usage expected to increase with improvements in household socio-economic status. Although recent studies... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
The role of high-socioeconomic-status people in locking in or rapidly reducing energy-driven greenhouse gas emissions | 10.1038/s41560-021-00900-y | https://doi.org/10.1038/s41560-021-00900-y | Nature Energy | 2,021 | Nielsen, K.; Nicholas, K.; Creutzig, F.; Dietz, T.; Stern, P. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Global scenarios of household access to modern energy services under climate mitigation policy | 10.1038/s41560-021-00871-0 | https://doi.org/10.1038/s41560-021-00871-0 | Nature Energy | 2,021 | Poblete-Cazenave, M.; Pachauri, S.; Byers, E.; Mastrucci, A.; van Ruijven, B. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Economic, environmental and grid-resilience benefits of converting diesel trains to battery-electric | 10.1038/s41560-021-00915-5 | https://doi.org/10.1038/s41560-021-00915-5 | Nature Energy | 2,021 | Popovich, N.; Rajagopal, D.; Tasar, E.; Phadke, A. | Abstract
Nearly all US locomotives are propelled by diesel-electric drives, which emit 35 million tonnes of CO
2
and produce air pollution causing about 1,000 premature deaths annually, accounting for approximately US$6.5 billion in annual h... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Climate mitigation scenarios with persistent COVID-19-related energy demand changes | 10.1038/s41560-021-00904-8 | https://doi.org/10.1038/s41560-021-00904-8 | Nature Energy | 2,021 | Kikstra, J.; Vinca, A.; Lovat, F.; Boza-Kiss, B.; van Ruijven, B. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Life cycle assessment of recycling strategies for perovskite photovoltaic modules | 10.1038/s41893-021-00737-z | https://doi.org/10.1038/s41893-021-00737-z | Nature Sustainability | 2,021 | Tian, X.; Stranks, S.; You, F. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | LCA & Sustainability | ||
Global bioenergy with carbon capture and storage potential is largely constrained by sustainable irrigation | 10.1038/s41893-021-00740-4 | https://doi.org/10.1038/s41893-021-00740-4 | Nature Sustainability | 2,021 | Ai, Z.; Hanasaki, N.; Heck, V.; Hasegawa, T.; Fujimori, S. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
Growing environmental footprint of plastics driven by coal combustion | 10.1038/s41893-021-00807-2 | https://doi.org/10.1038/s41893-021-00807-2 | Nature Sustainability | 2,021 | Cabernard, L.; Pfister, S.; Oberschelp, C.; Hellweg, S. | AbstractResearch on the environmental impacts from the global value chain of plastics has typically focused on the disposal phase, considered most harmful to the environment and human health. However, the production of plastics is also responsible for substantial environmental, health and socioeconomic impacts. We show... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Direct observation of trap-assisted recombination in organic photovoltaic devices | 10.1038/s41467-021-23870-x | https://doi.org/10.1038/s41467-021-23870-x | Nature Communications | 2,021 | Zeiske, S.; Sandberg, O.; Zarrabi, N.; Li, W.; Meredith, P. | AbstractTrap-assisted recombination caused by localised sub-gap states is one of the most important first-order loss mechanism limiting the power-conversion efficiency of all solar cells. The presence and relevance of trap-assisted recombination in organic photovoltaic devices is still a matter of some considerable amb... | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Policy & Social Factors | |
Limited application of reflective surfaces can mitigate urban heat pollution | 10.1038/s41467-021-23634-7 | https://doi.org/10.1038/s41467-021-23634-7 | Nature Communications | 2,021 | Sen, S.; Khazanovich, L. | AbstractElevated air temperatures in urban neighborhoods due to the Urban Heat Island effect is a form of heat pollution that causes thermal discomfort, higher energy consumption, and deteriorating public health. Mitigation measures can be expensive, with the need to maximize benefits from limited resources. Here we sh... | CrossRef | CleanTech | Cooling Technologies | Novel Low/Zero Carbon Technologies | Climate Mitigation | |
Pricing indirect emissions accelerates low—carbon transition of US light vehicle sector | 10.1038/s41467-021-27247-y | https://doi.org/10.1038/s41467-021-27247-y | Nature Communications | 2,021 | Wolfram, P.; Weber, S.; Gillingham, K.; Hertwich, E. | Abstract
Large–scale electric vehicle adoption can greatly reduce emissions from vehicle tailpipes. However, analysts have cautioned that it can come with increased indirect emissions from electricity and battery production that are not commonly regulated by transport policies. We... | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | LCA & Sustainability | |
Altered growth conditions more than reforestation counteracted forest biomass carbon emissions 1990–2020 | 10.1038/s41467-021-26398-2 | https://doi.org/10.1038/s41467-021-26398-2 | Nature Communications | 2,021 | Le Noë, J.; Erb, K.; Matej, S.; Magerl, A.; Bhan, M. | Abstract
Understanding the carbon (C) balance in global forest is key for climate-change mitigation. However, land use and environmental drivers affecting global forest C fluxes remain poorly quantified. Here we show, following a counterfactual modelling approach based on global Forest Resource Assess... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Location-specific co-benefits of carbon emissions reduction from coal-fired power plants in China | 10.1038/s41467-021-27252-1 | https://doi.org/10.1038/s41467-021-27252-1 | Nature Communications | 2,021 | Wang, P.; Lin, C.; Wang, Y.; Liu, D.; Song, D. | AbstractClimate policies that achieve air quality co-benefits can better align developing countries’ national interests with global climate mitigation. Since the effects of air pollutants are highly dependent on source locations, spatially nuanced policies are crucial to maximizing the achievement of co-benefits. Using... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Prospective contributions of biomass pyrolysis to China’s 2050 carbon reduction and renewable energy goals | 10.1038/s41467-021-21868-z | https://doi.org/10.1038/s41467-021-21868-z | Nature Communications | 2,021 | Yang, Q.; Zhou, H.; Bartocci, P.; Fantozzi, F.; Mašek, O. | AbstractRecognizing that bioenergy with carbon capture and storage (BECCS) may still take years to mature, this study focuses on another photosynthesis-based, negative-carbon technology that is readier to implement in China: biomass intermediate pyrolysis poly-generation (BIPP). Here we find that a BIPP system can be p... | CrossRef | CleanTech | Negative Emission Technologies | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | |
Impacts of long-term temperature change and variability on electricity investments | 10.1038/s41467-021-21785-1 | https://doi.org/10.1038/s41467-021-21785-1 | Nature Communications | 2,021 | Khan, Z.; Iyer, G.; Patel, P.; Kim, S.; Hejazi, M. | AbstractLong-term temperature change and variability are expected to have significant impacts on future electric capacity and investments. This study improves upon past studies by accounting for hourly and monthly dynamics of electricity use, long-term socioeconomic drivers, and interactions of the electric sector with... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Large uncertainties in trends of energy demand for heating and cooling under climate change | 10.1038/s41467-021-25504-8 | https://doi.org/10.1038/s41467-021-25504-8 | Nature Communications | 2,021 | Deroubaix, A.; Labuhn, I.; Camredon, M.; Gaubert, B.; Monerie, P. | AbstractThe energy demand for heating and cooling buildings is changing with global warming. Using proxies of climate-driven energy demand based on the heating and cooling Degree-Days methodology applied to thirty global climate model simulations, we show that, over all continental areas, the climate-driven energy dema... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Alternative carbon price trajectories can avoid excessive carbon removal | 10.1038/s41467-021-22211-2 | https://doi.org/10.1038/s41467-021-22211-2 | Nature Communications | 2,021 | Strefler, J.; Kriegler, E.; Bauer, N.; Luderer, G.; Pietzcker, R. | AbstractThe large majority of climate change mitigation scenarios that hold warming below 2 °C show high deployment of carbon dioxide removal (CDR), resulting in a peak-and-decline behavior in global temperature. This is driven by the assumption of an exponentially increasing carbon price trajectory which is perceived ... | CrossRef | EnergiTrade | Energy & Carbon Trading | Carbon Trading & New Business Models | Policy & Social Factors | |
A frequency-amplitude coordinator and its optimal energy consumption for biological oscillators | 10.1038/s41467-021-26182-2 | https://doi.org/10.1038/s41467-021-26182-2 | Nature Communications | 2,021 | Qin, B.; Zhao, L.; Lin, W. | AbstractBiorhythm including neuron firing and protein-mRNA interaction are fundamental activities with diffusive effect. Their well-balanced spatiotemporal dynamics are beneficial for healthy sustainability. Therefore, calibrating both anomalous frequency and amplitude of biorhythm prevents physiological dysfunctions o... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | LCA & Sustainability | |
Past and future trends of Egypt’s water consumption and its sources | 10.1038/s41467-021-24747-9 | https://doi.org/10.1038/s41467-021-24747-9 | Nature Communications | 2,021 | Nikiel, C.; Eltahir, E. | AbstractFor millennia the Nile supplied Egypt with more water than needed. As the population grew and the economy expanded, demand on water increased accordingly. Here, we present a comprehensive analysis to reconstruct how total demand on water outstripped supply of the Nile water in the late 1970s, starting from a su... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Plausible energy demand patterns in a growing global economy with climate policy | 10.1038/s41558-020-00975-7 | https://doi.org/10.1038/s41558-020-00975-7 | Nature Climate Change | 2,021 | Semieniuk, G.; Taylor, L.; Rezai, A.; Foley, D. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Climate change impacts on renewable energy supply | 10.1038/s41558-020-00949-9 | https://doi.org/10.1038/s41558-020-00949-9 | Nature Climate Change | 2,021 | Gernaat, D.; de Boer, H.; Daioglou, V.; Yalew, S.; Müller, C. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Author Correction: Climate change impacts on renewable energy supply | 10.1038/s41558-021-01005-w | https://doi.org/10.1038/s41558-021-01005-w | Nature Climate Change | 2,021 | Gernaat, D.; de Boer, H.; Daioglou, V.; Yalew, S.; Müller, C. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Demand-side solutions to climate change mitigation consistent with high levels of well-being | 10.1038/s41558-021-01219-y | https://doi.org/10.1038/s41558-021-01219-y | Nature Climate Change | 2,021 | Creutzig, F.; Niamir, L.; Bai, X.; Callaghan, M.; Cullen, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Uncertain storage prospects create a conundrum for carbon capture and storage ambitions | 10.1038/s41558-021-01175-7 | https://doi.org/10.1038/s41558-021-01175-7 | Nature Climate Change | 2,021 | Lane, J.; Greig, C.; Garnett, A. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
A proposed global layout of carbon capture and storage in line with a 2 °C climate target | 10.1038/s41558-020-00960-0 | https://doi.org/10.1038/s41558-020-00960-0 | Nature Climate Change | 2,021 | Wei, Y.; Kang, J.; Liu, L.; Li, Q.; Wang, P. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
Water, energy and climate benefits of urban greening throughout Europe under different climatic scenarios | 10.1038/s41598-021-88141-7 | https://doi.org/10.1038/s41598-021-88141-7 | Scientific Reports | 2,021 | Quaranta, E.; Dorati, C.; Pistocchi, A. | AbstractUrban greening is an effective mitigation option for climate change in urban areas. In this contribution, a European Union (EU)-wide assessment is presented to quantify the benefits of urban greening in terms of availability of green water, reduction of cooling costs and CO2 sequestration from the atmosphere, f... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Carbon Capture & Storage | |
Analyzing climate change impacts on health, energy, water resources, and biodiversity sectors for effective climate change policy in South Korea | 10.1038/s41598-021-97108-7 | https://doi.org/10.1038/s41598-021-97108-7 | Scientific Reports | 2,021 | Moon, T.; Chae, Y.; Lee, D.; Kim, D.; Kim, H. | AbstractThis study analyzes how climate change affects the economy, society, and environment in South Korea. Then, the study explores the ways to strengthen capabilities that can alleviate climate change impacts. To find them, the study employs a system dynamics simulation method and builds a model with several sectors... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
A robust multiple-objective decision-making paradigm based on the water–energy–food security nexus under changing climate uncertainties | 10.1038/s41598-021-99637-7 | https://doi.org/10.1038/s41598-021-99637-7 | Scientific Reports | 2,021 | Enayati, M.; Bozorg-Haddad, O.; Fallah-Mehdipour, E.; Zolghadr-Asli, B.; Chu, X. | AbstractFrom the perspective of the water–energy–food (WEF) security nexus, sustainable water-related infrastructure may hinge on multi-dimensional decision-making, which is subject to some level of uncertainties imposed by internal or external sources such as climate change. It is important to note that the impact of ... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Energy budget and carbon footprint in a wheat and maize system under ridge furrow strategy in dry semi humid areas | 10.1038/s41598-021-88717-3 | https://doi.org/10.1038/s41598-021-88717-3 | Scientific Reports | 2,021 | Li, C.; Li, S. | AbstractThe well-irrigated planting strategy (WI) consumes a large amount of energy and exacerbates greenhouse gas emissions, endangering the sustainable agricultural production. This 2-year work aims to estimate the economic benefit, energy budget and carbon footprint of a wheat–maize double cropping system under conv... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Policy & Social Factors | |
Techno-economic analysis of long-duration energy storage and flexible power generation technologies to support high-variable renewable energy grids | 10.1016/j.joule.2021.06.018 | https://doi.org/10.1016/j.joule.2021.06.018 | Joule | 2,021 | Hunter, C.; Penev, M.; Reznicek, E.; Eichman, J.; Rustagi, N. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Cutting through the noise on negative emissions | 10.1016/j.joule.2021.06.013 | https://doi.org/10.1016/j.joule.2021.06.013 | Joule | 2,021 | Uden, S.; Dargusch, P.; Greig, C. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
The tricky geoeconomics of going low carbon | 10.1016/j.joule.2021.11.012 | https://doi.org/10.1016/j.joule.2021.11.012 | Joule | 2,021 | Goldthau, A. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Evaluation in an Emergency: Assessing Transformative Energy Policy amidst the Climate Crisis | 10.1016/j.joule.2020.12.019 | https://doi.org/10.1016/j.joule.2020.12.019 | Joule | 2,021 | Hampton, S.; Fawcett, T.; Rosenow, J.; Michaelis, C.; Mayne, R. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Upstream decarbonization through a carbon takeback obligation: An affordable backstop climate policy | 10.1016/j.joule.2021.10.012 | https://doi.org/10.1016/j.joule.2021.10.012 | Joule | 2,021 | Jenkins, S.; Mitchell-Larson, E.; Ives, M.; Haszeldine, S.; Allen, M. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Multiscale design for system-wide peer-to-peer energy trading | 10.1016/j.oneear.2021.04.018 | https://doi.org/10.1016/j.oneear.2021.04.018 | One Earth | 2,021 | Morstyn, T.; Savelli, I.; Hepburn, C. | CrossRef | EnergiTrade | Urban Energy Management System | Carbon Trading & New Business Models | Policy & Social Factors | ||
UNFCCC must confront the political economy of net-negative emissions | 10.1016/j.oneear.2021.10.001 | https://doi.org/10.1016/j.oneear.2021.10.001 | One Earth | 2,021 | Mohan, A.; Geden, O.; Fridahl, M.; Buck, H.; Peters, G. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
Sustainability footprints of a renewable carbon transition for the petrochemical sector within planetary boundaries | 10.1016/j.oneear.2021.04.001 | https://doi.org/10.1016/j.oneear.2021.04.001 | One Earth | 2,021 | Galán-Martín, Á.; Tulus, V.; Díaz, I.; Pozo, C.; Pérez-Ramírez, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | LCA & Sustainability | ||
Is there a role for carbon capture and storage in a just transition? | 10.1016/j.oneear.2021.10.022 | https://doi.org/10.1016/j.oneear.2021.10.022 | One Earth | 2,021 | Morrow, D. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
Carbon capture and storage at the end of a lost decade | 10.1016/j.oneear.2021.10.002 | https://doi.org/10.1016/j.oneear.2021.10.002 | One Earth | 2,021 | Martin-Roberts, E.; Scott, V.; Flude, S.; Johnson, G.; Haszeldine, R. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
Cost reductions in renewables can substantially erode the value of carbon capture and storage in mitigation pathways | 10.1016/j.oneear.2021.10.024 | https://doi.org/10.1016/j.oneear.2021.10.024 | One Earth | 2,021 | Grant, N.; Hawkes, A.; Napp, T.; Gambhir, A. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
Global agricultural trade and land system sustainability: Implications for ecosystem carbon storage, biodiversity, and human nutrition | 10.1016/j.oneear.2021.09.006 | https://doi.org/10.1016/j.oneear.2021.09.006 | One Earth | 2,021 | Kastner, T.; Chaudhary, A.; Gingrich, S.; Marques, A.; Persson, U. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | LCA & Sustainability | ||
How limitations in energy access, poverty, and socioeconomic disparities compromise health interventions for outbreaks in urban settings | 10.1016/j.isci.2021.103389 | https://doi.org/10.1016/j.isci.2021.103389 | iScience | 2,021 | Fefferman, N.; Chen, C.; Bonilla, G.; Nelson, H.; Kuo, C. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Demand Response & New Mobilities & Urban Planning | Policy & Social Factors | ||
Why a Scialog on negative emissions science? | 10.1016/j.isci.2021.103188 | https://doi.org/10.1016/j.isci.2021.103188 | iScience | 2,021 | Michelson, E.; Feig, A.; Wiener, R. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
The need for a portfolio of solutions rooted in common messaging to facilitate negative emissions science | 10.1016/j.isci.2021.103053 | https://doi.org/10.1016/j.isci.2021.103053 | iScience | 2,021 | Hatzell, M.; Wilcox, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
Reducing the life cycle environmental impact of electric vehicles through emissions-responsive charging | 10.1016/j.isci.2021.103499 | https://doi.org/10.1016/j.isci.2021.103499 | iScience | 2,021 | Tang, Y.; Cockerill, T.; Pimm, A.; Yuan, X. | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | LCA & Sustainability | ||
Quantifying techno-economic indicators' impact on isolated renewable energy systems | 10.1016/j.isci.2021.102730 | https://doi.org/10.1016/j.isci.2021.102730 | iScience | 2,021 | Javed, M.; Ma, T.; Mousavi, N.; Ahmed, S.; Lund, H. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Evaluating the role of behavior and social class in electric vehicle adoption and charging demands | 10.1016/j.isci.2021.102914 | https://doi.org/10.1016/j.isci.2021.102914 | iScience | 2,021 | Lee, R.; Brown, S. | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Policy & Social Factors | ||
Financial viability of electric vehicle lithium-ion battery recycling | 10.1016/j.isci.2021.102787 | https://doi.org/10.1016/j.isci.2021.102787 | iScience | 2,021 | Lander, L.; Cleaver, T.; Rajaeifar, M.; Nguyen-Tien, V.; Elliott, R. | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | LCA & Sustainability | ||
Spurring low-carbon electrosynthesis through energy and innovation policy | 10.1016/j.isci.2021.102045 | https://doi.org/10.1016/j.isci.2021.102045 | iScience | 2,021 | Schmidt, T. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Inequitable and heterogeneous impacts on electricity consumption from COVID-19 mitigation measures | 10.1016/j.isci.2021.103231 | https://doi.org/10.1016/j.isci.2021.103231 | iScience | 2,021 | Lou, J.; Qiu, Y.; Ku, A.; Nock, D.; Xing, B. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Calcification-driven CO
<sub>2</sub>
emissions exceed “Blue Carbon” sequestration in a carbonate seagrass meadow | 10.1126/sciadv.abj1372 | https://doi.org/10.1126/sciadv.abj1372 | Science Advances | 2,021 | Van Dam, B.; Zeller, M.; Lopes, C.; Smyth, A.; Böttcher, M. |
Rigorous carbon accounting shows that calcification-driven CO
2
emissions can exceed seagrass “Blue Carbon” storage.
| CrossRef | EnergiTrade | Carbon Asset Management | AI & Data Science for Urban Energy Systems | Carbon Capture & Storage |
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