title stringlengths 14 191 | doi stringlengths 22 28 | url stringlengths 38 44 | journal stringclasses 13
values | year int64 2.02k 2.03k | authors stringlengths 0 90 | abstract stringlengths 0 500 | data_url stringclasses 1
value | source stringclasses 1
value | direction stringclasses 4
values | subcategory stringclasses 15
values | direction_label stringclasses 4
values | refined_category stringclasses 4
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 direct radiotracer. However, it has not been extensively used due to the short half-life of Carbon-11 (20.4 minutes). In this work, a novel laboratory protocol is developed to use [11 | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
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 | Solar Energy Conversion | |||
Origins of the open-circuit voltage in ternary organic solar cells and design rules for minimized voltage losses | 10.1038/s41560-023-01309-5 | https://doi.org/10.1038/s41560-023-01309-5 | Nature Energy | 2,023 | Wang, Y.; Yu, J.; Zhang, R.; Yuan, J.; Hultmark, S. | AbstractThe power conversion efficiency of ternary organic solar cells (TOSCs), consisting of one host binary blend and one guest component, remains limited by large voltage losses. The fundamental understanding of the open-circuit voltage (VOC) in TOSCs is controversial, limiting rational design of the guest component. In this study, we systematically investigate how the guest component affects the radiative and non-radiative related parts of VOC of a series of TOSCs using the detailed balanced | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Simplifying solar adoption regulation | 10.1038/s41560-023-01369-7 | https://doi.org/10.1038/s41560-023-01369-7 | Nature Energy | 2,023 | Lakeman, S. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Fixed charge passivation in perovskite solar cells | 10.1038/s41560-023-01392-8 | https://doi.org/10.1038/s41560-023-01392-8 | Nature Energy | 2,023 | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |||
Update on the Solar Cells Reporting Summary | 10.1038/s41560-023-01432-3 | https://doi.org/10.1038/s41560-023-01432-3 | Nature Energy | 2,023 | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |||
Silicon solar cells step up | 10.1038/s41560-023-01296-7 | https://doi.org/10.1038/s41560-023-01296-7 | Nature Energy | 2,023 | Green, M. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Concentrating on solar for hydrogen | 10.1038/s41560-023-01256-1 | https://doi.org/10.1038/s41560-023-01256-1 | Nature Energy | 2,023 | Deutsch, T. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Perovskite solar cells take the heat | 10.1038/s41560-023-01400-x | https://doi.org/10.1038/s41560-023-01400-x | Nature Energy | 2,023 | Ramadan, A. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Taking control of energy as a solar prosumer | 10.1038/s41560-022-01174-8 | https://doi.org/10.1038/s41560-022-01174-8 | Nature Energy | 2,023 | Middlemiss, L. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Transparent aerogels reduce energy loss through building windows | 10.1038/s41560-023-01229-4 | https://doi.org/10.1038/s41560-023-01229-4 | Nature Energy | 2,023 | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Wind & Other Renewables | |||
Emissions from natural hydrogen | 10.1038/s41560-023-01344-2 | https://doi.org/10.1038/s41560-023-01344-2 | Nature Energy | 2,023 | Gallagher, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | ||
Rail-based mobile energy storage as a grid-reliability solution for climate extremes | 10.1038/s41560-023-01284-x | https://doi.org/10.1038/s41560-023-01284-x | Nature Energy | 2,023 | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |||
Leveraging rail-based mobile energy storage to increase grid reliability in the face of climate uncertainty | 10.1038/s41560-023-01276-x | https://doi.org/10.1038/s41560-023-01276-x | Nature Energy | 2,023 | Moraski, J.; Popovich, N.; Phadke, A. | Abstract
Maintaining reliability is increasingly challenging for electric grids as they endure more frequent extreme weather events and utilize more intermittent generation. Exploration of alternative reliability approaches is needed to effectively address these emerging issues. Here we examine the potential to use the US rail system as a nationwide backup transmission grid over which containerized batteries, or rail-based mobile energy storage (RMES), are shared among regions | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Uncertainty analysis identifies drivers of offshore wind deployment | 10.1038/s41560-023-01372-y | https://doi.org/10.1038/s41560-023-01372-y | Nature Energy | 2,023 | CrossRef | DigiEnergy | Renewable Energy Resource Mapping | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |||
Tackling grand challenges in wind energy through a socio-technical perspective | 10.1038/s41560-023-01266-z | https://doi.org/10.1038/s41560-023-01266-z | Nature Energy | 2,023 | Kirkegaard, J.; Rudolph, D.; Nyborg, S.; Solman, H.; Gill, E. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Expanded modelling scenarios to understand the role of offshore wind in decarbonizing the United States | 10.1038/s41560-023-01364-y | https://doi.org/10.1038/s41560-023-01364-y | Nature Energy | 2,023 | Beiter, P.; Mai, T.; Mowers, M.; Bistline, J. | CrossRef | DigiEnergy | Renewable Energy Resource Mapping | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
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. For energy systems with varying dependence on wind or solar supply, up to 32% or 44% of non-Antarctic land areas, respectively, are projected to experience robust SDM reductions b | CrossRef | DigiEnergy | Renewable Energy Resource Mapping | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Impact of siting ordinances on land availability for wind and solar development | 10.1038/s41560-023-01319-3 | https://doi.org/10.1038/s41560-023-01319-3 | Nature Energy | 2,023 | Lopez, A.; Cole, W.; Sergi, B.; Levine, A.; Carey, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
UV–vis spectroscopy for monitoring oxidation state changes during electrochemical energy storage | 10.1038/s41560-023-01258-z | https://doi.org/10.1038/s41560-023-01258-z | Nature Energy | 2,023 | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |||
In situ monitoring redox processes in energy storage using UV–Vis spectroscopy | 10.1038/s41560-023-01240-9 | https://doi.org/10.1038/s41560-023-01240-9 | Nature Energy | 2,023 | Zhang, D.; Wang, R.; Wang, X.; Gogotsi, Y. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Engineering relaxors by entropy for high energy storage performance | 10.1038/s41560-023-01300-0 | https://doi.org/10.1038/s41560-023-01300-0 | Nature Energy | 2,023 | Yang, B.; Zhang, Q.; Huang, H.; Pan, H.; Zhu, W. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Energy storage solutions to decarbonize electricity through enhanced capacity expansion modelling | 10.1038/s41560-023-01340-6 | https://doi.org/10.1038/s41560-023-01340-6 | Nature Energy | 2,023 | Levin, T.; Bistline, J.; Sioshansi, R.; Cole, W.; Kwon, J. | CrossRef | DigiEnergy | Renewable Energy Simulation Tools | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
A phenazine-based high-capacity and high-stability electrochemical CO2 capture cell with coupled electricity storage | 10.1038/s41560-023-01347-z | https://doi.org/10.1038/s41560-023-01347-z | Nature Energy | 2,023 | Pang, S.; Jin, S.; Yang, F.; Alberts, M.; Li, L. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
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 research, we analyse how much energy lithium-ion battery (LIB) and post lithium-ion battery (PLIB) cell production requires on cell and macro-economic levels, currently and in the fut | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Energy Storage & Batteries | |
Revised estimates of racial and ethnic disparities in rooftop photovoltaic deployment in the United States | 10.1038/s41893-023-01134-4 | https://doi.org/10.1038/s41893-023-01134-4 | Nature Sustainability | 2,023 | Dokshin, F.; Thiede, B. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Reply to: Revised estimates of racial and ethnic disparities in rooftop photovoltaic deployment in the United States | 10.1038/s41893-023-01135-3 | https://doi.org/10.1038/s41893-023-01135-3 | Nature Sustainability | 2,023 | Sunter, D.; Castellanos, S.; Kammen, D. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
A titanium dioxide sponge for capturing lead leaking from perovskite solar cells | 10.1038/s41893-023-01149-x | https://doi.org/10.1038/s41893-023-01149-x | Nature Sustainability | 2,023 | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |||
Using solar farms as a platform for the ecological restoration of arid soils | 10.1038/s41893-023-01108-6 | https://doi.org/10.1038/s41893-023-01108-6 | Nature Sustainability | 2,023 | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |||
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 increase cross-sectoral water conflicts. We develop and apply an artificial intelligence-assisted multisector design framework in Ghana, which shows how hydropower’s flexibility alone c | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Stability follows efficiency based on the analysis of a large perovskite solar cells ageing dataset | 10.1038/s41467-023-40585-3 | https://doi.org/10.1038/s41467-023-40585-3 | Nature Communications | 2,023 | Hartono, N.; Köbler, H.; Graniero, P.; Khenkin, M.; Schlatmann, R. | AbstractWhile perovskite solar cells have reached competitive efficiency values during the last decade, stability issues remain a critical challenge to be addressed for pushing this technology towards commercialisation. In this study, we analyse a large homogeneous dataset of Maximum Power Point Tracking (MPPT) operational ageing data that we collected with a custom-built High-throughput Ageing System in the past 3 years. In total, 2,245 MPPT ageing curves are analysed which were obtained under | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Improved photovoltaic performance and robustness of all-polymer solar cells enabled by a polyfullerene guest acceptor | 10.1038/s41467-023-37738-9 | https://doi.org/10.1038/s41467-023-37738-9 | Nature Communications | 2,023 | Yu, H.; Wang, Y.; Zou, X.; Yin, J.; Shi, X. | AbstractFullerene acceptors typically possess excellent electron-transporting properties and can work as guest components in ternary organic solar cells to enhance the charge extraction and efficiencies. However, conventional fullerene small molecules typically suffer from undesirable segregation and dimerization, thus limiting their applications in organic solar cells. Herein we report the use of a poly(fullerene-alt-xylene) acceptor (PFBO-C12) as guest component enables a significant efficienc | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
High-efficiency bio-inspired hybrid multi-generation photovoltaic leaf | 10.1038/s41467-023-38984-7 | https://doi.org/10.1038/s41467-023-38984-7 | Nature Communications | 2,023 | Huang, G.; Xu, J.; Markides, C. | AbstractMost solar energy incident (>70%) upon commercial photovoltaic panels is dissipated as heat, increasing their operating temperature, and leading to significant deterioration in electrical performance. The solar utilisation efficiency of commercial photovoltaic panels is typically below 25%. Here, we demonstrate a hybrid multi-generation photovoltaic leaf concept that employs a biomimetic transpiration structure made of eco-friendly, low-cost and widely-available materials for effectiv | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Electrical performance of a fully reconfigurable series-parallel photovoltaic module | 10.1038/s41467-023-43927-3 | https://doi.org/10.1038/s41467-023-43927-3 | Nature Communications | 2,023 | Calcabrini, A.; Muttillo, M.; Zeman, M.; Manganiello, P.; Isabella, O. | AbstractReconfigurable photovoltaic modules are a promising approach to improve the energy yield of partially shaded systems. So far, the feasibility of this concept has been evaluated through simulations or simplified experiments. In this work, we analyse the outdoor performance of a full-scale prototype of a series-parallel photovoltaic module with six reconfigurable blocks. Over a 4-month-long period, its performance was compared to a reference photovoltaic module with static interconnections | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
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 crafted semiconductors, undermining the cost-efficiency of the system. Furthermore, fuels produced required separation prior to utilization. As an artificial photosynthesis design, | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Precise synthesis and photovoltaic properties of giant molecule acceptors | 10.1038/s41467-023-43846-3 | https://doi.org/10.1038/s41467-023-43846-3 | Nature Communications | 2,023 | Zhuo, H.; Li, X.; Zhang, J.; Zhu, C.; He, H. | AbstractSeries of giant molecule acceptors DY, TY and QY with two, three and four small molecule acceptor subunits are synthesized by a stepwise synthetic method and used for systematically investigating the influence of subunit numbers on the structure-property relationship from small molecule acceptor YDT to giant molecule acceptors and to polymerized small molecule acceptor PY-IT. Among these acceptors-based devices, the TY-based film shows proper donor/acceptor phase separation, higher charg | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Global green hydrogen-based steel opportunities surrounding high quality renewable energy and iron ore deposits | 10.1038/s41467-023-38123-2 | https://doi.org/10.1038/s41467-023-38123-2 | Nature Communications | 2,023 | Devlin, A.; Kossen, J.; Goldie-Jones, H.; Yang, A. | AbstractThe steel sector currently accounts for 7% of global energy-related CO2 emissions and requires deep reform to disconnect from fossil fuels. Here, we investigate the market competitiveness of one of the widely considered decarbonisation routes for primary steel production: green hydrogen-based direct reduction of iron ore followed by electric arc furnace steelmaking. Through analysing over 300 locations by combined use of optimisation and machine learning, we show that competitive renewab | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | |
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 that drive RA failures in the Western U.S. at increasing wind and solar penetrations by integrating power system and synoptic meteorology methods. At up to 60% renewable penetration | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Grid integration feasibility and investment planning of offshore wind power under carbon-neutral transition in China | 10.1038/s41467-023-37536-3 | https://doi.org/10.1038/s41467-023-37536-3 | Nature Communications | 2,023 | Guo, X.; Chen, X.; Chen, X.; Sherman, P.; Wen, J. | AbstractOffshore wind power, with accelerated declining levelized costs, is emerging as a critical building-block to fully decarbonize the world’s largest CO2 emitter, China. However, system integration barriers as well as system balancing costs have not been quantified yet. Here we develop a bottom-up model to test the grid accommodation capabilities and design the optimal investment plans for offshore wind power considering resource distributions, hourly power system simulations, and transmiss | CrossRef | DigiEnergy | Renewable Energy Resource Mapping | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
Electric vehicle batteries alone could satisfy short-term grid storage demand by as early as 2030 | 10.1038/s41467-022-35393-0 | https://doi.org/10.1038/s41467-022-35393-0 | Nature Communications | 2,023 | Xu, C.; Behrens, P.; Gasper, P.; Smith, K.; Hu, M. | AbstractThe energy transition will require a rapid deployment of renewable energy (RE) and electric vehicles (EVs) where other transit modes are unavailable. EV batteries could complement RE generation by providing short-term grid services. However, estimating the market opportunity requires an understanding of many socio-technical parameters and constraints. We quantify the global EV battery capacity available for grid storage using an integrated model incorporating future EV battery deployment | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Energy Storage & Batteries | |
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 greenhouse gas (GHG) debt to be paid back in the future use phase. Here we analyze millions of vehicle data from the Chinese market and show that the GHG break-even time (GBET) of Chin | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Energy Storage & Batteries | |
China’s electric vehicle and climate ambitions jeopardized by surging critical material prices | 10.1038/s41467-023-36957-4 | https://doi.org/10.1038/s41467-023-36957-4 | Nature Communications | 2,023 | Wang, H.; Feng, K.; Wang, P.; Yang, Y.; Sun, L. | AbstractThe adoption of electric vehicles (EVs) on a large scale is crucial for meeting the desired climate commitments, where affordability plays a vital role. However, the expected surge in prices of lithium, cobalt, nickel, and manganese, four critical materials in EV batteries, could hinder EV uptake. To explore these impacts in the context of China, the world’s largest EV market, we expand and enrich an integrated assessment model. We find that under a high material cost surge scenario, EVs | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Energy Storage & Batteries | |
Wind-driven device for cooling permafrost | 10.1038/s41467-023-43375-z | https://doi.org/10.1038/s41467-023-43375-z | Nature Communications | 2,023 | Qin, Y.; Wang, T.; Yuan, W. | AbstractPreserving permafrost subgrade is a challenge due to global warming, but passive cooling techniques have limited success. Here, we present a novel wind-driven device that can cool permafrost subgrade by circulating coolant between the ambient air and the subgrade. It consists of a wind mill, a mechanical clutch with phase change material, and a fluid-circulation heat exchanger. The clutch engages and disengages through freezing and melting phase change material, while the device turns of | CrossRef | CleanTech | Cooling Technologies | Novel Low/Zero Carbon Technologies | Wind & Other Renewables | |
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 land resources while facilitating low-carbon hydrogen production using renewable wind and solar energy. We establish a country-by-country reference scenario for hydrogen demand in 205 | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Exploiting nonaqueous self-stratified electrolyte systems toward large-scale energy storage | 10.1038/s41467-023-37995-8 | https://doi.org/10.1038/s41467-023-37995-8 | Nature Communications | 2,023 | Wang, Z.; Ji, H.; Zhou, J.; Zheng, Y.; Liu, J. | AbstractBiphasic self-stratified batteries (BSBs) provide a new direction in battery philosophy for large-scale energy storage, which successfully reduces the cost and simplifies the architecture of redox flow batteries. However, current aqueous BSBs have intrinsic limits on the selection range of electrode materials and energy density due to the narrow electrochemical window of water. Thus, herein, we develop nonaqueous BSBs based on Li-S chemistry, which deliver an almost quadruple increase in | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Solar and wind | 10.1038/s41558-023-01840-z | https://doi.org/10.1038/s41558-023-01840-z | Nature Climate Change | 2,023 | Cheng, D. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Can solar radiation modification prevent a future collapse of the West Antarctic Ice Sheet? | 10.1038/s41558-023-01739-9 | https://doi.org/10.1038/s41558-023-01739-9 | Nature Climate Change | 2,023 | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |||
Co-benefits of carbon neutrality in enhancing and stabilizing solar and wind energy | 10.1038/s41558-023-01692-7 | https://doi.org/10.1038/s41558-023-01692-7 | Nature Climate Change | 2,023 | Lei, Y.; Wang, Z.; Wang, D.; Zhang, X.; Che, H. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
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 | Energy Storage & Batteries | |||
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 | Energy Storage & Batteries | ||
Wind influences the onset of a seasonally sea-ice-free Arctic | 10.1038/s41558-023-01699-0 | https://doi.org/10.1038/s41558-023-01699-0 | Nature Climate Change | 2,023 | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |||
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 production. Here we report an observed 30% reduction of Weddell Sea Bottom Water volume since 1992, with the largest decrease in the densest classes. This is probably driven by a mul | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Wind & Other Renewables | |
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 surface reflectivity of incoming solar radiation (albedo effect) is needed, though seldom accounted for in CCM strategies. Here, we quantify the CCM potential of PV fields and afforestat | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Toward carbon neutrality: Projecting a desert-based photovoltaic power network circumnavigating the globe | 10.1093/pnasnexus/pgad097 | https://doi.org/10.1093/pnasnexus/pgad097 | npj Clean Energy | 2,023 | Zhou, Y.; Liu, J.; Ge, W.; He, C.; Ma, J. | Abstract
Carbon, the human's most reliable fuel type in the past, must be neutralized in this century toward the Paris Agreement temperature goals. Solar power is widely believed a key fossil fuel substitute but suffers from the needs of large space occupation and huge energy storage for peak shaving. Here, we propose a solar network circumnavigating the globe to connecting large-scale desert photovoltaics among continents. By evaluating the generation potential of desert photovol | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
An all ambient, room temperature–processed solar cell from a bare silicon wafer | 10.1093/pnasnexus/pgad067 | https://doi.org/10.1093/pnasnexus/pgad067 | npj Clean Energy | 2,023 | Okamoto, K.; Fujita, Y.; Nishigaya, K.; Tanabe, K. | Abstract
Solar cells are a promising optoelectronic device for the simultaneous solution of energy resource and environmental problems. However, their high cost and slow, laborious production process so far severely hinder a sufficient widespread of clean, renewable photovoltaic energy as a major alternative electricity generator. This undesirable situation is mainly attributed to the fact that photovoltaic devices have been manufactured through a series of vacuum and high-tempera | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Bioinspired stability enhancement in deuterium-substituted organic–inorganic hybrid perovskite solar cells | 10.1093/pnasnexus/pgad160 | https://doi.org/10.1093/pnasnexus/pgad160 | npj Clean Energy | 2,023 | Tong, J.; Li, X.; Wang, J.; He, H.; Xu, T. | Abstract
In hybrid perovskite solar cells (PSCs), the reaction of hydrogens (H) located in the amino group of the organic A-site cations with their neighboring halides plays a central role in degradation. Inspired by the retarded biological activities of cells in heavy water, we replaced the light H atom with its abundant, twice-as-heavy, nonradioactive isotope, deuterium (D) to hamper the motion of H. This D substitution retarded the formation kinetics of the detrimental H halide | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
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 gaseous sequestration and storage of anthropogenic CO2 in concrete through forced carbonate mineralization in both the cementing minerals and their aggregates. To better clarify the | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
A kirigami-enabled electrochromic wearable variable-emittance device for energy-efficient adaptive personal thermoregulation | 10.1093/pnasnexus/pgad165 | https://doi.org/10.1093/pnasnexus/pgad165 | npj Clean Energy | 2,023 | Chen, T.; Hong, Y.; Fu, C.; Nandi, A.; Xie, W. | Abstract
For centuries, people have put effort to improve the thermal performance of clothing to adapt to varying temperatures. However, most clothing we wear today only offers a single-mode insulation. The adoption of active thermal management devices, such as resistive heaters, Peltier coolers, and water recirculation, is limited by their excessive energy consumption and form factor for long-term, continuous, and personalized thermal comfort. In this paper, we developed a wearab | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
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, incorporating China's carbon peaking and neutrality policies, which would substantially reduce emissions from the electricity, operation efficiency, metallurgy, and battery manufac | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Energy Storage & Batteries | |
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 industry expertise, research & development, supply chain, and infrastructure supports. A pre-analysis of the propulsion technology competition is crucial to avoid potential wrong dire | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
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 cycle place intrinsic limits on the long-term impact of CDR on atmospheric CO2 that are likely to vary across CDR technologies in ways that are poorly constrained. Here, we use an | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Energy Storage & Batteries | |
Hybrid nanofluid flow within cooling tube of photovoltaic-thermoelectric solar unit | 10.1038/s41598-023-35428-6 | https://doi.org/10.1038/s41598-023-35428-6 | Scientific Reports | 2,023 | Khalili, Z.; Sheikholeslami, M.; Momayez, L. | AbstractIn this work, the thermoelectric generator (TEG) layer has been combined with conventional layers of photovoltaic-thermal (PVT) modules to use the waste heat and increase the efficiency. To reduce the cell temperature, there exists a cooling duct in the bottom of the PVT-TEG unit. Type of fluid within the duct and structure of duct can change the performance of the system. So, hybrid nanofluid (mixture of Fe3O4 and MWCNT with water) has been replaced instead of pure water and three vario | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
On the local warming potential of urban rooftop photovoltaic solar panels in cities | 10.1038/s41598-023-40280-9 | https://doi.org/10.1038/s41598-023-40280-9 | Scientific Reports | 2,023 | Khan, A.; Santamouris, M. | AbstractUnderstanding and evaluating the implications of photovoltaic solar panels (PVSPs) deployment on urban settings, as well as the pessimistic effects of densely populated areas on PVSPs efficiency, is becoming incredibly valuable. Thus, the deployment of low-efficiency, low-cost, and widely available PVSPs may diminish total solar reflectance, raising the risks of PVSPs-based urban heating, particularly during the summertime heatwaves. This study employs and assesses physical parameterizat | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Author Correction: Hybrid nanofluid flow within cooling tube of photovoltaic-thermoelectric solar unit | 10.1038/s41598-023-38125-6 | https://doi.org/10.1038/s41598-023-38125-6 | Scientific Reports | 2,023 | Khalili, Z.; Sheikholeslami, M.; Momayez, L. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Application of artificial intelligence in green building concept for energy auditing using drone technology under different environmental conditions | 10.1038/s41598-023-35245-x | https://doi.org/10.1038/s41598-023-35245-x | Scientific Reports | 2,023 | Khan, O.; Parvez, M.; Alansari, M.; Farid, M.; Devarajan, Y. | AbstractThermal losses through weak building envelope is responsible for global current energy crises. Application of artificial intelligence and drone setups in green buildings can help in providing the sustainable solution the world is striving for years. The contemporary research incorporates a novel concept of measuring the wearing thermal resistances in the building envelope with the aid of a drone system. The above procedure conducts a throughout building analysis by considering three prim | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Potential of low-enthalpy geothermal energy to degrade organic contaminants of emerging concern in urban groundwater | 10.1038/s41598-023-29701-x | https://doi.org/10.1038/s41598-023-29701-x | Scientific Reports | 2,023 | Pujades, E.; Jurado, A.; Scheiber, L.; Teixidó, M.; Criollo Manjarrez, R. | AbstractLow-enthalpy geothermal energy (LEGE) is a carbon-free and renewable source to provide cooling and heating to infrastructures (e.g. buildings) by exchanging their temperature with that of the ground. The exchange of temperature modifies the groundwater temperature around LEGE installations, which may contribute to enhancing the capacity of aquifers to degrade organic contaminants of emerging concern (OCECs), whose presence is significantly increasing in urban aquifers. Here, we investiga | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | |
Author Correction: Potential of low-enthalpy geothermal energy to degrade organic contaminants of emerging concern in urban groundwater | 10.1038/s41598-023-33394-7 | https://doi.org/10.1038/s41598-023-33394-7 | Scientific Reports | 2,023 | Pujades, E.; Jurado, A.; Scheiber, L.; Teixidó, M.; Criollo Manjarrez, R. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | ||
Analysis of renewable energy consumption and economy considering the joint optimal allocation of “renewable energy + energy storage + synchronous condenser” | 10.1038/s41598-023-47401-4 | https://doi.org/10.1038/s41598-023-47401-4 | Scientific Reports | 2,023 | Wang, Z.; Li, Q.; Kong, S.; Li, W.; Luo, J. | Abstract
As renewable energy becomes increasingly dominant in the energy mix, the power system is evolving towards high proportions of renewable energy installations and power electronics-based equipment. This transition introduces significant challenges to the grid’s safe and stable operation. On the one hand, renewable energy generation equipment inherently provides weak voltage support, necessitating improvements in the voltage support capacity at renewable energy grid point | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Electricity consumption in Finland influenced by climate effects of energetic particle precipitation | 10.1038/s41598-023-47605-8 | https://doi.org/10.1038/s41598-023-47605-8 | Scientific Reports | 2,023 | Juntunen, V.; Asikainen, T. | AbstractIt is known that electricity consumption in many cold Northern countries depends greatly on prevailing outdoor temperatures especially during the winter season. On the other hand, recent research has demonstrated that solar wind driven energetic particle precipitation from space into the polar atmosphere can influence the stratospheric polar vortex and tropospheric weather patterns during winter. These changes are significant, e.g., in Northern Europe, especially in Finland. In this stud | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Wind power variation by wind veer characteristics with two wind farms | 10.1038/s41598-023-37957-6 | https://doi.org/10.1038/s41598-023-37957-6 | Scientific Reports | 2,023 | Tumenbayar, U.; Ko, K. | AbstractTo clarify the wind veer characteristics with height and their effect on the wind turbine power outputs, an investigation was carried out at the wind farms with complex and simple terrains. A 2 MW and a 1.5 MW wind turbine were tested, each having an 80 m tall met mast and a ground lidar to capture wind veering. Wind veer conditions were divided into four types based on wind direction changes with height. The power deviation coefficient (PDC) and the revenue differences for the four type | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
Optimized scheduling study of user side energy storage in cloud energy storage model | 10.1038/s41598-023-45673-4 | https://doi.org/10.1038/s41598-023-45673-4 | Scientific Reports | 2,023 | Wang, H.; Yao, H.; Zhou, J.; Guo, Q. | AbstractWith the new round of power system reform, energy storage, as a part of power system frequency regulation and peaking, is an indispensable part of the reform. Among them, user-side small energy storage devices have the advantages of small size, flexible use and convenient application, but present decentralized characteristics in space. Therefore, the optimal allocation of small energy storage resources and the reduction of operating costs are urgent problems to be solved. In this study, | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Simulation of melting paraffin with graphene nanoparticles within a solar thermal energy storage system | 10.1038/s41598-023-35361-8 | https://doi.org/10.1038/s41598-023-35361-8 | Scientific Reports | 2,023 | Jafaryar, M.; Sheikholeslami, M. | AbstractIn this paper, applying new structure and loading Graphene nanoparticles have been considered as promising techniques for enhancing thermal storage systems. The layers within the paraffin zone were made from aluminum and the melting temperature of paraffin is 319.55 K. The paraffin zone located in the middle section of the triplex tube and uniform hot temperatures (335 K) for both walls of annulus have been applied. Three geometries for the container were applied with changing the angle | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Bionic algae for solar hydrogen | 10.1016/j.joule.2023.04.013 | https://doi.org/10.1016/j.joule.2023.04.013 | Joule | 2,023 | Edwards, E. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Total equivalent energy efficiency metric for building-integrated photovoltaic windows | 10.1016/j.joule.2023.11.010 | https://doi.org/10.1016/j.joule.2023.11.010 | Joule | 2,023 | Bing, J.; McKenzie, D.; Stals, T.; Kypriotis, M.; Zheng, J. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
A general illumination method to predict bifacial photovoltaic system performance | 10.1016/j.joule.2022.12.005 | https://doi.org/10.1016/j.joule.2022.12.005 | Joule | 2,023 | Tonita, E.; Valdivia, C.; Russell, A.; Martinez-Szewczyk, M.; Bertoni, M. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Barriers and opportunities for the deployment of CO2 electrolysis in net-zero emissions energy systems | 10.1016/j.joule.2023.05.002 | https://doi.org/10.1016/j.joule.2023.05.002 | Joule | 2,023 | Guerra, O.; Almajed, H.; Smith, W.; Somoza-Tornos, A.; Hodge, B. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | ||
Opportunities for battery aging mode diagnosis of renewable energy storage | 10.1016/j.joule.2023.06.014 | https://doi.org/10.1016/j.joule.2023.06.014 | Joule | 2,023 | Che, Y.; Hu, X.; Teodorescu, R. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Contract design for storage in hybrid electricity markets | 10.1016/j.joule.2023.07.002 | https://doi.org/10.1016/j.joule.2023.07.002 | Joule | 2,023 | Billimoria, F.; Simshauser, P. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Energy Storage & Batteries | ||
The role of electricity market design for energy storage in cost-efficient decarbonization | 10.1016/j.joule.2023.05.014 | https://doi.org/10.1016/j.joule.2023.05.014 | Joule | 2,023 | Qin, X.; Xu, B.; Lestas, I.; Guo, Y.; Sun, H. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Energy Storage & Batteries | ||
Thermally activated batteries and their prospects for grid-scale energy storage | 10.1016/j.joule.2023.02.009 | https://doi.org/10.1016/j.joule.2023.02.009 | Joule | 2,023 | Li, M.; Weller, J.; Reed, D.; Sprenkle, V.; Li, G. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | ||
Battery passports for promoting electric vehicle resale and repurposing | 10.1016/j.joule.2023.04.002 | https://doi.org/10.1016/j.joule.2023.04.002 | Joule | 2,023 | Weng, A.; Dufek, E.; Stefanopoulou, A. | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Energy Storage & Batteries | ||
Electric-thermal energy storage using solid particles as storage media | 10.1016/j.joule.2023.03.016 | https://doi.org/10.1016/j.joule.2023.03.016 | Joule | 2,023 | Ma, Z.; Gifford, J.; Wang, X.; Martinek, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | ||
Revealing hidden predicaments to lithium-ion battery dynamics for electric vertical take-off and landing aircraft | 10.1016/j.joule.2023.07.014 | https://doi.org/10.1016/j.joule.2023.07.014 | Joule | 2,023 | Ayyaswamy, A.; Vishnugopi, B.; Mukherjee, P. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
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 | Wind & Other Renewables | ||
Quantum batteries: The future of energy storage? | 10.1016/j.joule.2023.09.003 | https://doi.org/10.1016/j.joule.2023.09.003 | Joule | 2,023 | Quach, J.; Cerullo, G.; Virgili, T. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Ultra-long-duration energy storage anywhere: Methanol with carbon cycling | 10.1016/j.joule.2023.10.001 | https://doi.org/10.1016/j.joule.2023.10.001 | Joule | 2,023 | Brown, T.; Hampp, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Aerogels, additive manufacturing, and energy storage | 10.1016/j.joule.2023.03.021 | https://doi.org/10.1016/j.joule.2023.03.021 | Joule | 2,023 | Chandrasekaran, S.; Lin, D.; Li, Y.; Worsley, M. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Energy Storage & Batteries | ||
Zinc-ion batteries for stationary energy storage | 10.1016/j.joule.2023.06.007 | https://doi.org/10.1016/j.joule.2023.06.007 | Joule | 2,023 | Gourley, S.; Brown, R.; Adams, B.; Higgins, D. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Statistical and machine learning-based durability-testing strategies for energy storage | 10.1016/j.joule.2023.03.008 | https://doi.org/10.1016/j.joule.2023.03.008 | Joule | 2,023 | Harris, S.; Noack, M. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
The carbon intensity of integrated photovoltaics | 10.1016/j.joule.2023.09.010 | https://doi.org/10.1016/j.joule.2023.09.010 | Joule | 2,023 | Virtuani, A.; Borja Block, A.; Wyrsch, N.; Ballif, C. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
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 | Solar Energy Conversion | ||
Solar geoengineering research in the global public interest: A proposal for how to do it | 10.1016/j.oneear.2023.11.012 | https://doi.org/10.1016/j.oneear.2023.11.012 | One Earth | 2,023 | Buck, H.; Nicholson, S. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
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 | Energy Storage & Batteries | ||
Optimization of solar and battery-based hybrid renewable energy system augmented with bioenergy and hydro energy-based dispatchable source | 10.1016/j.isci.2022.105821 | https://doi.org/10.1016/j.isci.2022.105821 | iScience | 2,023 | Memon, S.; Upadhyay, D.; Patel, R. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Resource potential mapping of bifacial photovoltaic systems in India | 10.1016/j.isci.2023.108017 | https://doi.org/10.1016/j.isci.2023.108017 | iScience | 2,023 | Johnson, J.; Manikandan, S. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
India’s photovoltaic potential amidst air pollution and land constraints | 10.1016/j.isci.2023.107856 | https://doi.org/10.1016/j.isci.2023.107856 | iScience | 2,023 | Ghosh, S.; Kumar, A.; Ganguly, D.; Dey, S. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
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 | Solar Energy Conversion | ||
Small area high voltage photovoltaic module for high tolerance to partial shading | 10.1016/j.isci.2023.106745 | https://doi.org/10.1016/j.isci.2023.106745 | iScience | 2,023 | Fauzan, L.; Yun, M.; Sim, Y.; Lee, D.; Cha, S. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Ion-selective solar crystallizer with rivulets | 10.1016/j.isci.2023.106926 | https://doi.org/10.1016/j.isci.2023.106926 | iScience | 2,023 | Choi, J.; Na, J.; Jeon, S. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Nanostructured silicon photocatalysts for solar-driven fuel production | 10.1016/j.isci.2023.106317 | https://doi.org/10.1016/j.isci.2023.106317 | iScience | 2,023 | Putwa, S.; Curtis, I.; Dasog, M. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.