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Efficient energy conversion mechanism and energy storage strategy for triboelectric nanogenerators | 10.1038/s41467-024-50978-7 | https://doi.org/10.1038/s41467-024-50978-7 | Nature Communications | 2,024 | Wu, H.; Shan, C.; Fu, S.; Li, K.; Wang, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Transforming wearable technology with advanced ultra-flexible energy harvesting and storage solutions | 10.1038/s41467-024-52534-9 | https://doi.org/10.1038/s41467-024-52534-9 | Nature Communications | 2,024 | Jahandar, M.; Kim, S.; Lim, D. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Supercooled erythritol for high-performance seasonal thermal energy storage | 10.1038/s41467-024-49333-7 | https://doi.org/10.1038/s41467-024-49333-7 | Nature Communications | 2,024 | Yang, S.; Shi, H.; Liu, J.; Lai, Y.; Bayer, Ö. | AbstractSeasonal storage of solar thermal energy through supercooled phase change materials (PCM) offers a promising solution for decarbonizing space and water heating in winter. Despite the high energy density and adaptability, natural PCMs often lack the necessary supercooling for stable, long-term storage. Leveragin... | CrossRef | CleanTech | Building Energy Materials | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
High-entropy relaxor ferroelectric ceramics for ultrahigh energy storage | 10.1038/s41467-024-49107-1 | https://doi.org/10.1038/s41467-024-49107-1 | Nature Communications | 2,024 | Peng, H.; Wu, T.; Liu, Z.; Fu, Z.; Wang, D. | AbstractDielectric ceramic capacitors with ultrahigh power densities are fundamental to modern electrical devices. Nonetheless, the poor energy density confined to the low breakdown strength is a long-standing bottleneck in developing desirable dielectric materials for practical applications. In this instance, we prese... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Publisher Correction: High-entropy relaxor ferroelectric ceramics for ultrahigh energy storage | 10.1038/s41467-024-50284-2 | https://doi.org/10.1038/s41467-024-50284-2 | Nature Communications | 2,024 | Peng, H.; Wu, T.; Liu, Z.; Fu, Z.; Wang, D. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
An ultraflexible energy harvesting-storage system for wearable applications | 10.1038/s41467-024-50894-w | https://doi.org/10.1038/s41467-024-50894-w | Nature Communications | 2,024 | Saifi, S.; Xiao, X.; Cheng, S.; Guo, H.; Zhang, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Enhanced high-temperature energy storage performances in polymer dielectrics by synergistically optimizing band-gap and polarization of dipolar glass | 10.1038/s41467-024-52791-8 | https://doi.org/10.1038/s41467-024-52791-8 | Nature Communications | 2,024 | Yang, M.; Ren, W.; Jin, Z.; Xu, E.; Shen, Y. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Carbon footprint distributions of lithium-ion batteries and their materials | 10.1038/s41467-024-54634-y | https://doi.org/10.1038/s41467-024-54634-y | Nature Communications | 2,024 | Peiseler, L.; Schenker, V.; Schatzmann, K.; Pfister, S.; Wood, V. | Abstract
Lithium-ion batteries are pivotal in climate change mitigation. While their own carbon footprint raises concerns, existing studies are scattered, hard to compare and largely overlook the relevance of battery materials. Here, we go beyond traditional carbon footprint analy... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Energy Storage & Batteries | |
Climate change will impact the value and optimal adoption of residential rooftop solar | 10.1038/s41558-024-01978-4 | https://doi.org/10.1038/s41558-024-01978-4 | Nature Climate Change | 2,024 | Shi, M.; Lu, X.; Craig, M. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Wind changes enhance ENSO | 10.1038/s41558-024-02228-3 | https://doi.org/10.1038/s41558-024-02228-3 | Nature Climate Change | 2,024 | Wake, B. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
North Atlantic–Pacific salinity contrast enhanced by wind and ocean warming | 10.1038/s41558-024-02033-y | https://doi.org/10.1038/s41558-024-02033-y | Nature Climate Change | 2,024 | Lu, Y.; Li, Y.; Lin, P.; Cheng, L.; Ge, K. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Major step up in carbon capture and storage needed to keep warming below 2 °C | 10.1038/s41558-024-02112-0 | https://doi.org/10.1038/s41558-024-02112-0 | Nature Climate Change | 2,024 | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Energy Storage & Batteries | |||
Cross-border CO2 transport decreases public acceptance of carbon capture and storage | 10.1038/s41558-024-02023-0 | https://doi.org/10.1038/s41558-024-02023-0 | Nature Climate Change | 2,024 | Anders, S.; Liebe, U.; Meyerhoff, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Energy Storage & Batteries | ||
Feasible deployment of carbon capture and storage and the requirements of climate targets | 10.1038/s41558-024-02104-0 | https://doi.org/10.1038/s41558-024-02104-0 | Nature Climate Change | 2,024 | Kazlou, T.; Cherp, A.; Jewell, J. | Abstract
Climate change mitigation requires the large-scale deployment of carbon capture and storage (CCS). Recent plans indicate an eight-fold increase in CCS capacity by 2030, yet the feasibility of CCS expansion is debated. Using historical growth of CCS and other policy-driven... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Energy Storage & Batteries | |
Microphase iron particle growth promoted by solar wind implantation in lunar soils | 10.1093/pnasnexus/pgae450 | https://doi.org/10.1093/pnasnexus/pgae450 | npj Clean Energy | 2,024 | Lu, X.; Chen, J.; Cao, H.; Fu, X.; Zeng, X. | Abstract
Lunar soils record the history and spectral changes resulting from the space-weathering process. The solar wind and micrometeoroids are the main space-weathering agents leading to darkening (decreasing albedo) and reddening (increasing reflectance with longer wavelength) of visible and near-infr... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Effects of firebricks for industrial process heat on the cost of matching all-sector energy demand with 100% wind–water–solar supply in 149 countries | 10.1093/pnasnexus/pgae274 | https://doi.org/10.1093/pnasnexus/pgae274 | npj Clean Energy | 2,024 | Jacobson, M.; Sambor, D.; Fan, Y.; Mühlbauer, A. | AbstractRefractory bricks are bricks that can withstand high temperatures without damage to their structures. They have been used to insulate kilns, furnaces, and other hot enclosures for thousands of years. Firebricks are refractory bricks that can, with one composition, store heat, and with another, insulate the fire... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Prioritizing social vulnerability in urban heat mitigation | 10.1093/pnasnexus/pgae360 | https://doi.org/10.1093/pnasnexus/pgae360 | npj Clean Energy | 2,024 | Fung, K.; Yang, Z.; Martilli, A.; Krayenhoff, E.; Niyogi, D. | Abstract
We utilized city-scale simulations to quantitatively compare the diverse urban overheating mitigation strategies, specifically tied to social vulnerability and their cooling efficacies during heatwaves. We enhanced the Weather Research and Forecasting model to encompass the urban tree effect and... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Incorporating platinum circular economy into China’s hydrogen pathways toward carbon neutrality | 10.1093/pnasnexus/pgae172 | https://doi.org/10.1093/pnasnexus/pgae172 | npj Clean Energy | 2,024 | Wang, P.; Wang, C.; Li, J.; Hubacek, K.; Sun, L. | Abstract
Hydrogen is gaining tremendous traction in China as the fuel of the future to support the country’s carbon neutrality ambition. Despite that hydrogen as fuel largely hinges on the supply of platinum (Pt), the dynamic interlinkage between Pt supply challenges, hydrogen development pathways, and c... | CrossRef | DigiEnergy | Renewable Energy Simulation Tools | Carbon Trading & New Business Models | Hydrogen & Fuel Cells | |
Robust capital cost optimization of generation and multitimescale storage requirements for a 100% renewable Australian electricity grid | 10.1093/pnasnexus/pgae127 | https://doi.org/10.1093/pnasnexus/pgae127 | npj Clean Energy | 2,024 | Shaikh, R.; Vowles, D.; Dinovitser, A.; Allison, A.; Abbott, D. | Abstract
Transitioning from a fossil-fuel-dependent economy to one based on renewable energy requires significant investment and technological advancement. While wind and solar technologies provide lower cost electricity, enhanced energy storage and transmission infrastructure come at a cost for managing... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
A biospecies-derived genomic DNA hybrid gel electrolyte for electrochemical energy storage | 10.1093/pnasnexus/pgae213 | https://doi.org/10.1093/pnasnexus/pgae213 | npj Clean Energy | 2,024 | Mitta, S.; Kim, J.; Rana, H.; Kokkiligadda, S.; Lim, Y. | Abstract
Intrinsic impediments, namely weak mechanical strength, low ionic conductivity, low electrochemical performance, and stability have largely inhibited beyond practical applications of hydrogels in electronic devices and remains as a significant challenge in the scientific world. Here, we report a... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Catch the wind: Optimizing wind turbine power generation by addressing wind veer effects | 10.1093/pnasnexus/pgae480 | https://doi.org/10.1093/pnasnexus/pgae480 | npj Clean Energy | 2,024 | Gao, L.; Milliren, C.; Dasari, T.; Knoll, A.; Hong, J. | Abstract
Wind direction variability with height, known as “wind veer,” results in power losses for wind turbines (WTs) that rely on single-point wind measurements at the turbine nacelles. To address this challenge, we introduce a yaw control strategy designed to optimize turbine alignment by adjusting th... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
Deciphering the variability in air-sea gas transfer due to sea state and wind history | 10.1093/pnasnexus/pgae389 | https://doi.org/10.1093/pnasnexus/pgae389 | npj Clean Energy | 2,024 | Yang, M.; Moffat, D.; Dong, Y.; Bidlot, J. | Abstract
Understanding processes driving air-sea gas transfer and being able to model both its mean and variability are critical for studies of climate and carbon cycle. The air-sea gas transfer velocity (K660) is almost universally parameterized as a function of wind speed in large scale models—an overs... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
Rooftop photovoltaic solar panels warm up and cool down cities | 10.1038/s44284-024-00137-2 | https://doi.org/10.1038/s44284-024-00137-2 | Nature Cities | 2,024 | Khan, A.; Anand, P.; Garshasbi, S.; Khatun, R.; Khorat, S. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Analytical and experimental analysis of concrete temperature and energy considering open-air environmental variations | 10.1038/s41598-024-64568-6 | https://doi.org/10.1038/s41598-024-64568-6 | Scientific Reports | 2,024 | Yang, W.; Li, P.; Zhuo, L.; Pang, M.; Xie, H. | AbstractLongwave radiation is an important open-air environmental factor that can significantly affect the temperature of concrete, but it has often been ignored in the temperature analysis of open-air concrete structures. In this article, an improved analytical model of concrete temperature was proposed by considering... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
A quick comparison model on optimizing the efficiency of photovoltaic panels in collecting solar radiation | 10.1038/s41598-024-69240-7 | https://doi.org/10.1038/s41598-024-69240-7 | Scientific Reports | 2,024 | Bao, Y.; Bao, H. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Numerical study on solar photovoltaic/thermal system with tesla valve | 10.1038/s41598-024-61785-x | https://doi.org/10.1038/s41598-024-61785-x | Scientific Reports | 2,024 | Du, S.; Zou, J.; Zheng, X.; Ye, X.; Yang, H. | AbstractIn recent years, photovoltaic/thermal (PV/T) systems have played a crucial role in reducing energy consumption and environmental degradation, nonetheless, the low energy conversion efficiency presents a considerable obstacle for PV/T systems. Therefore, improving heat conversion efficiency is essential to enhan... | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Leveraging opposition-based learning for solar photovoltaic model parameter estimation with exponential distribution optimization algorithm | 10.1038/s41598-023-50890-y | https://doi.org/10.1038/s41598-023-50890-y | Scientific Reports | 2,024 | Kullampalayam Murugaiyan, N.; Chandrasekaran, K.; Manoharan, P.; Derebew, B. | AbstractGiven the multi-model and nonlinear characteristics of photovoltaic (PV) models, parameter extraction presents a challenging problem. This challenge is exacerbated by the propensity of conventional algorithms to get trapped in local optima due to the complex nature of the problem. Accurate parameter estimation,... | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
MPPT control of photovoltaic array based on improved marine predator algorithm under complex solar irradiance conditions | 10.1038/s41598-024-70811-x | https://doi.org/10.1038/s41598-024-70811-x | Scientific Reports | 2,024 | Zhang, H.; Wang, X.; Zhang, J.; Ge, Y.; Wang, L. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Long-term path planning with optimal deployment of a charging station for monitoring photovoltaic solar farms | 10.1038/s41598-024-68160-w | https://doi.org/10.1038/s41598-024-68160-w | Scientific Reports | 2,024 | Huang, Y.; Chen, Z.; Chu, J.; Wang, H.; Sun, S. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Enhanced Whale optimization algorithms for parameter identification of solar photovoltaic cell models: a comparative study | 10.1038/s41598-024-67600-x | https://doi.org/10.1038/s41598-024-67600-x | Scientific Reports | 2,024 | Yang, S.; Xiong, G.; Fu, X.; Mirjalili, S.; Mohamed, A. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Achieving bifacial photovoltaic performance in PTB7-based organic solar cell by integrating transparent contact for emerging semi-transparent applications | 10.1038/s41598-024-76366-1 | https://doi.org/10.1038/s41598-024-76366-1 | Scientific Reports | 2,024 | Çokduygulular, E.; Çetinkaya, Ç.; Emik, S.; Kınacı, B. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Optimization of building integrated energy scheduling using an improved genetic whale algorithm | 10.1038/s41598-024-52995-4 | https://doi.org/10.1038/s41598-024-52995-4 | Scientific Reports | 2,024 | Wei, L.; An, G. | AbstractRenewable energy generation has become the general trend with increasing environmental problems. However, the instability of renewable energy generation and the diversification of user demand are highlighted and the optimization of energy scheduling has become the key to solve the problem. This study introduces... | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Comparative analysis of direct coupling and MPPT control in standalone PV systems for solar energy optimization to meet sustainable building energy demands | 10.1038/s41598-024-72606-6 | https://doi.org/10.1038/s41598-024-72606-6 | Scientific Reports | 2,024 | Nataraj, C.; Karthikeyan, G.; Bharathi, G.; Duraikannan, S. | Abstract
Solar energy, a prominent renewable source, has reached an installed capacity of 71.78 GW in India. This research explored the load demands of the computer center at an engineering college in Tanjore, Tamil Nadu, India. The computer center at the engineering college has an annual energy requi... | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Multiple objective energy optimization of a trade center building based on genetic algorithm using ecological materials | 10.1038/s41598-024-58515-8 | https://doi.org/10.1038/s41598-024-58515-8 | Scientific Reports | 2,024 | Kabiri, E.; Maftouni, N. | AbstractIt is crucial to optimize energy consumption in buildings while considering thermal comfort. The first step here involved an EnergyPlus simulation on a trade center building located in Tehran, Bandar Abbas, and Tabriz, Iran. A multi-objective optimization was then performed based on non-dominated sorting geneti... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Robust load-frequency control of islanded urban microgrid using 1PD-3DOF-PID controller including mobile EV energy storage | 10.1038/s41598-024-64794-y | https://doi.org/10.1038/s41598-024-64794-y | Scientific Reports | 2,024 | Davoudkhani, I.; Zare, P.; Abdelaziz, A.; Bajaj, M.; Tuka, M. | AbstractElectricity generation in Islanded Urban Microgrids (IUMG) now relies heavily on a diverse range of Renewable Energy Sources (RES). However, the dependable utilization of these sources hinges upon efficient Electrical Energy Storage Systems (EESs). As the intermittent nature of RES output and the low inertia of... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Energy Storage & Batteries | |
A rule-based energy management system for hybrid renewable energy sources with battery bank optimized by genetic algorithm optimization | 10.1038/s41598-024-54333-0 | https://doi.org/10.1038/s41598-024-54333-0 | Scientific Reports | 2,024 | Jamal, S.; Pasupuleti, J.; Ekanayake, J. | AbstractA Nanogrid (NG) model is described as a power distribution system that integrates Hybrid Renewable Energy Sources (HRESs) and Energy Storage Systems (ESSs) into the primary grid. However, this process is affected by several factors, like load variability, market pricing, and the intermittent nature of Wind Turb... | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Optimization clearing strategy for multi-region electricity-heat market considering shared energy storage and integrated demand response | 10.1038/s41598-024-72397-w | https://doi.org/10.1038/s41598-024-72397-w | Scientific Reports | 2,024 | Chen, S.; Ye, Z.; Meng, Y. | CrossRef | FLEXERGY | Demand Response | Demand Response & New Mobilities & Urban Planning | Energy Storage & Batteries | ||
Nanotechnology for thermal comfort and energy efficiency in educational buildings with a simulation and measurement approach in BSh climate | 10.1038/s41598-024-72853-7 | https://doi.org/10.1038/s41598-024-72853-7 | Scientific Reports | 2,024 | Soleymani, M.; Amrollahi, R.; Taghdir, S.; Barzegar, Z. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Machine learning optimization for hybrid electric vehicle charging in renewable microgrids | 10.1038/s41598-024-63775-5 | https://doi.org/10.1038/s41598-024-63775-5 | Scientific Reports | 2,024 | Hassan, M. | AbstractRenewable microgrids enhance security, reliability, and power quality in power systems by integrating solar and wind sources, reducing greenhouse gas emissions. This paper proposes a machine learning approach, leveraging Gaussian Process (GP) and Krill Herd Algorithm (KHA), for energy management in renewable mi... | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
A high-fidelity lithium-ion battery emulator for electric vehicle application | 10.1038/s41598-024-70445-z | https://doi.org/10.1038/s41598-024-70445-z | Scientific Reports | 2,024 | Fan, B.; Zhang, B.; Shi, Y.; Chang, Y. | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Energy Storage & Batteries | ||
Research on the interaction between energy consumption and power battery life during electric vehicle acceleration | 10.1038/s41598-023-50419-3 | https://doi.org/10.1038/s41598-023-50419-3 | Scientific Reports | 2,024 | Liu, Q.; Zhang, Z.; Zhang, J. | AbstractMost studies on the acceleration process of electric vehicle focus on reducing energy consumption, but do not consider the impact of the power battery discharge current and its change rate on the battery life. Therefore, this paper studied the interaction between electric vehicle energy consumption and power ba... | CrossRef | FLEXERGY | Electric Vehicles & Mobility | Demand Response & New Mobilities & Urban Planning | Energy Storage & Batteries | |
Wind energy resource assessment and wind turbine selection analysis for sustainable energy production | 10.1038/s41598-024-61350-6 | https://doi.org/10.1038/s41598-024-61350-6 | Scientific Reports | 2,024 | Spiru, P.; Simona, P. | AbstractThe objective of this study is to perform an analysis to determine the most suitable type of wind turbine that can be installed at a specific location for electricity generation, using annual measurements of wind characteristics and meteorological parameters. Wind potential analysis has shown that the analyzed ... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
Innovation in clean energy from man-made wind and small-wind generation | 10.1038/s41598-024-74141-w | https://doi.org/10.1038/s41598-024-74141-w | Scientific Reports | 2,024 | Gil-García, I.; Fernández-Guillamón, A.; Montes-Torres, Á. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Dynamic performance of rotor-side nonlinear control technique for doubly-fed multi-rotor wind energy based on improved super-twisting algorithms under variable wind speed | 10.1038/s41598-024-55271-7 | https://doi.org/10.1038/s41598-024-55271-7 | Scientific Reports | 2,024 | Benbouhenni, H.; Yessef, M.; Colak, I.; Bizon, N.; Kotb, H. | AbstractThe paper proposes a nonlinear controller called dual super-twisting sliding mode command (DSTSMC) for controlling and regulating the rotor side converter (RSC) of multi-rotor wind power systems that use doubly-fed induction generators. It was proposed that this controller be developed as an alternative to the ... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
Continuous input current buck DC/DC converter for small-size wind energy systems featuring current sensorless MPPT control | 10.1038/s41598-023-50692-2 | https://doi.org/10.1038/s41598-023-50692-2 | Scientific Reports | 2,024 | Zakzouk, N. | AbstractFor decentralized electrification in remote areas, small-sized wind energy systems (WESs) are considered sustainable and affordable solution when employing an efficient, small-sized component converter integrated with a less-sophisticated, cost-effective MPPT controller. Unfortunately, using a conventional buck... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
Modelling the wind potential energy for metallurgical sector in Albania | 10.1038/s41598-024-51841-x | https://doi.org/10.1038/s41598-024-51841-x | Scientific Reports | 2,024 | Dhoska, K.; Bebi, E.; Markja, I.; Milo, P.; Sita, E. | AbstractThe metallurgical industry, in the context of the global energy crisis and the new European green deal, needs urgent investments on energy and resource efficiency. The metallurgical sector, which includes the production of different metals is an energy-intensive industry that requires large amounts of energy fo... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
Publisher Correction: Modelling the wind potential energy for metallurgical sector in Albania | 10.1038/s41598-024-55388-9 | https://doi.org/10.1038/s41598-024-55388-9 | Scientific Reports | 2,024 | Dhoska, K.; Bebi, E.; Markja, I.; Milo, P.; Sita, E. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | ||
Effective dynamic energy management algorithm for grid-interactive microgrid with hybrid energy storage system | 10.1038/s41598-024-70599-w | https://doi.org/10.1038/s41598-024-70599-w | Scientific Reports | 2,024 | Kamagaté, Y.; Shah, H. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Energy Storage & Batteries | ||
Optimal scheduling model using the IGDT method for park integrated energy systems considering P2G–CCS and cloud energy storage | 10.1038/s41598-024-68292-z | https://doi.org/10.1038/s41598-024-68292-z | Scientific Reports | 2,024 | Wang, L.; Cheng, J.; Luo, X. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Research and analysis of energy consumption and energy saving in buildings based on photovoltaic photothermal integration | 10.1038/s41598-024-51209-1 | https://doi.org/10.1038/s41598-024-51209-1 | Scientific Reports | 2,024 | Cui, Y.; Zhang, X. | AbstractIn order to reduce the energy consumption of buildings, an air source heat pump assisted rooftop photovoltaic-thermal integration system is designed. The installation area of photovoltaic modules and collectors will not only affect the power side, but also affect the thermal side. Therefore, the basic architect... | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Anthracene-based energy storage | 10.1016/j.joule.2024.10.015 | https://doi.org/10.1016/j.joule.2024.10.015 | Joule | 2,024 | Shustova, N. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Hybrid solar energy device for simultaneous electric power generation and molecular solar thermal energy storage | 10.1016/j.joule.2024.06.012 | https://doi.org/10.1016/j.joule.2024.06.012 | Joule | 2,024 | Wang, Z.; Hölzel, H.; Fernandez, L.; Aslam, A.; Baronas, P. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Wavelength-selective solar photovoltaic systems to enhance spectral sharing of sunlight in agrivoltaics | 10.1016/j.joule.2024.08.006 | https://doi.org/10.1016/j.joule.2024.08.006 | Joule | 2,024 | Ma Lu, S.; Amaducci, S.; Gorjian, S.; Haworth, M.; Hägglund, C. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Photovoltaic-sorbent system for water and electricity generation | 10.1016/j.joule.2024.01.006 | https://doi.org/10.1016/j.joule.2024.01.006 | Joule | 2,024 | Shao, Z.; Poredoš, P.; Wang, R. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Cost-efficient recycling of organic photovoltaic devices | 10.1016/j.joule.2024.06.006 | https://doi.org/10.1016/j.joule.2024.06.006 | Joule | 2,024 | Sun, R.; Yuan, X.; Yang, X.; Wu, Y.; Shao, Y. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Design of low-cost non-fused ultranarrow-band-gap acceptors for versatile photovoltaic applications | 10.1016/j.joule.2024.05.011 | https://doi.org/10.1016/j.joule.2024.05.011 | Joule | 2,024 | Ma, L.; Zhang, S.; Zhu, J.; Chen, Z.; Zhang, T. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Synergizing radiative cooling and solar power generation | 10.1016/j.joule.2024.04.011 | https://doi.org/10.1016/j.joule.2024.04.011 | Joule | 2,024 | Gan, Q.; Zhou, L. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Photocatalytic biomass conversion for hydrogen and renewable carbon-based chemicals | 10.1016/j.joule.2023.12.017 | https://doi.org/10.1016/j.joule.2023.12.017 | Joule | 2,024 | Wang, M.; Zhou, H.; Wang, F. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | ||
A taxonomy to guide the next generation of support mechanisms for electricity storage | 10.1016/j.joule.2024.03.015 | https://doi.org/10.1016/j.joule.2024.03.015 | Joule | 2,024 | Mastropietro, P.; Rodilla, P.; Batlle, C. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Omics-enabled understanding of electric aircraft battery electrolytes | 10.1016/j.joule.2024.05.013 | https://doi.org/10.1016/j.joule.2024.05.013 | Joule | 2,024 | Ko, Y.; Baird, M.; Peng, X.; Ogunfunmi, T.; Byeon, Y. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Design changes for improved circularity of silicon solar modules | 10.1016/j.oneear.2024.01.020 | https://doi.org/10.1016/j.oneear.2024.01.020 | One Earth | 2,024 | Tao, M.; Druffel, T.; Farag, A.; McLoughlin, K.; Leu, P. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Robust projections of increasing land carbon storage in boreal and temperate forests under future climate change scenarios | 10.1016/j.oneear.2023.11.013 | https://doi.org/10.1016/j.oneear.2023.11.013 | One Earth | 2,024 | Wei, N.; Xia, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
One-tenth of the EU’s sustainable biomethane coupled with carbon capture and storage can enable net-zero ammonia production | 10.1016/j.oneear.2024.11.005 | https://doi.org/10.1016/j.oneear.2024.11.005 | One Earth | 2,024 | Istrate, R.; Nabera, A.; Pérez-Ramírez, J.; Guillén-Gosálbez, G. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Energy Storage & Batteries | ||
A techno-economic survey of energy storage media for long-duration energy storage applications | 10.1016/j.crsus.2023.100007 | https://doi.org/10.1016/j.crsus.2023.100007 | Cell Reports Sustainability | 2,024 | Aspitarte, L.; Woodside, C. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Path analysis of using hydrogen energy to reduce greenhouse gas emissions in global aviation | 10.1016/j.crsus.2024.100133 | https://doi.org/10.1016/j.crsus.2024.100133 | Cell Reports Sustainability | 2,024 | Cui, Q.; Jia, Z.; Li, Y. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | ||
India onshore wind energy atlas accounting for altitude and land use restrictions and co-located solar | 10.1016/j.crsus.2024.100083 | https://doi.org/10.1016/j.crsus.2024.100083 | Cell Reports Sustainability | 2,024 | von Krauland, A.; Jacobson, M. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Harnessing the enigmatic ortho-para isomeric conversion for energy-efficient and low-carbon production of liquid hydrogen | 10.1016/j.crsus.2024.100243 | https://doi.org/10.1016/j.crsus.2024.100243 | Cell Reports Sustainability | 2,024 | Mendoza-Moreno, P.; Fulham, G.; Marek, E. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | ||
Climate and air quality benefits of wind and solar generation in the United States from 2019 to 2022 | 10.1016/j.crsus.2024.100105 | https://doi.org/10.1016/j.crsus.2024.100105 | Cell Reports Sustainability | 2,024 | Millstein, D.; O'Shaughnessy, E.; Wiser, R. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
The map behind the roadmap—Introducing a geospatial energy model for utility-scale solar and wind power buildout in Kenya | 10.1016/j.crsus.2024.100222 | https://doi.org/10.1016/j.crsus.2024.100222 | Cell Reports Sustainability | 2,024 | Millot, A.; Lubello, P.; Tennyson, E.; Mutembei, M.; Akute, M. | CrossRef | DigiEnergy | Spatiotemporal Energy Evaluation | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Renewable indanone and thermal-stable aviation fuel from cellulose | 10.1016/j.crsus.2024.100156 | https://doi.org/10.1016/j.crsus.2024.100156 | Cell Reports Sustainability | 2,024 | Liu, C.; Yu, Z.; Liu, Y.; Yao, Y.; Han, Y. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | ||
Seasonal hydrogen energy storage sizing: Two-stage economic-safety optimization for integrated energy systems in northwest China | 10.1016/j.isci.2024.110691 | https://doi.org/10.1016/j.isci.2024.110691 | iScience | 2,024 | Li, L.; Sun, Y.; Han, Y.; Chen, W. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
Quantifying the impact of wildfire smoke on solar photovoltaic generation in Australia | 10.1016/j.isci.2023.108611 | https://doi.org/10.1016/j.isci.2023.108611 | iScience | 2,024 | Ford, E.; Peters, I.; Hoex, B. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Potential and climate effects of large-scale rooftop photovoltaic energy deployment in northwest China’s capital cities | 10.1016/j.isci.2024.110871 | https://doi.org/10.1016/j.isci.2024.110871 | iScience | 2,024 | Jia, D.; Yang, L.; Gao, X. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
On the optimization of the interconnection of photovoltaic modules integrated in vehicles | 10.1016/j.isci.2024.110089 | https://doi.org/10.1016/j.isci.2024.110089 | iScience | 2,024 | Macías, J.; Herrero, R.; San José, L.; Núñez, R.; Antón, I. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Comprehensive overview of heat management methods for enhancing photovoltaic thermal systems | 10.1016/j.isci.2024.110950 | https://doi.org/10.1016/j.isci.2024.110950 | iScience | 2,024 | Rahman, M.; Gupta, S.; Akylbekov, N.; Zhapparbergenov, R.; Hasnain, S. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Achieving net zero energy heating by integrating the building envelope as a thermal battery | 10.1016/j.isci.2024.109892 | https://doi.org/10.1016/j.isci.2024.109892 | iScience | 2,024 | Zhi, Y.; Sun, T.; Gao, D.; Chen, X.; Wei, G. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Batteries or hydrogen or both for grid electricity storage upon full electrification of 145 countries with wind-water-solar? | 10.1016/j.isci.2024.108988 | https://doi.org/10.1016/j.isci.2024.108988 | iScience | 2,024 | Jacobson, M. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Optimal scheduling of electricity and hydrogen integrated energy system considering multiple uncertainties | 10.1016/j.isci.2024.109654 | https://doi.org/10.1016/j.isci.2024.109654 | iScience | 2,024 | Chang, P.; Li, C.; Zhu, Q.; Zhu, T.; Shi, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Hydrogen & Fuel Cells | ||
Wind and solar energy in Small Island Developing States for mitigating global climate change | 10.1016/j.isci.2024.111062 | https://doi.org/10.1016/j.isci.2024.111062 | iScience | 2,024 | Havea, P.; Su, B.; Liu, C.; Kundzewicz, Z.; Wang, Y. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | ||
Derived energy storage systems from Brayton cycle | 10.1016/j.isci.2024.109460 | https://doi.org/10.1016/j.isci.2024.109460 | iScience | 2,024 | Guo, H.; Zhang, Y.; Xu, Y.; Zhou, X.; Chen, H. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | ||
The carbon footprint of predicting CO2 storage capacity in metal-organic frameworks within neural networks | 10.1016/j.isci.2024.109644 | https://doi.org/10.1016/j.isci.2024.109644 | iScience | 2,024 | Korolev, V.; Mitrofanov, A. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Energy Storage & Batteries | ||
Chemically tuned intermediate band states in atomically thin Cu
<i>
<sub>x</sub>
</i>
GeSe/SnS quantum material for photovoltaic applications | 10.1126/sciadv.adl6752 | https://doi.org/10.1126/sciadv.adl6752 | Science Advances | 2,024 | Kastuar, S.; Ekuma, C. | A new generation of quantum material derived from intercalating zerovalent atoms such as Cu into the intrinsic van der Waals gap at the interface of atomically thin two-dimensional GeSe/SnS heterostructure is designed, and their optoelectronic features are explored for next-generation photovoltaic applications. Advance... | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Potential climate predictability of renewable energy supply and demand for Texas given the ENSO hidden state | 10.1126/sciadv.ado3517 | https://doi.org/10.1126/sciadv.ado3517 | Science Advances | 2,024 | Zhang, M.; Yan, L.; Amonkar, Y.; Nayak, A.; Lall, U. | Climate variability influences renewable electricity supply and demand and hence system reliability. Using the hidden states of the sea surface temperature of tropical Pacific Ocean that reflect El Niño–Southern Oscillation (ENSO) dynamics that is objectively identified by a nonhomogeneous hidden Markov model, we provi... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Physics-guided deep learning for skillful wind-wave modeling | 10.1126/sciadv.adr3559 | https://doi.org/10.1126/sciadv.adr3559 | Science Advances | 2,024 | Wang, X.; Jiang, H. | Modeling sea surface wind-waves is crucial for both scientific research and engineering applications. Nowadays, the most accurate wave models are based on numerical methods, which primarily concern the wave spectrum evolution by solving wave action balance partial differential equations. These methods are computational... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
Nonsynchronous rotation of icy moon ice shells: The thermal wind perspective | 10.1126/sciadv.adk2277 | https://doi.org/10.1126/sciadv.adk2277 | Science Advances | 2,024 | Kang, W. | The ice shells of icy satellites have been hypothesized to undergo nonsynchronous rotation (NSR) under the influence of tidal torques and/or ocean currents. In this work, the author proposes that the thermal wind relationship can be combined with geostrophic turbulence theory to predict ocean stress onto the ice shell ... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | |
Extreme wind events responsible for an outsized role in shelf-basin exchange around the southern tip of Greenland | 10.1126/sciadv.adp9266 | https://doi.org/10.1126/sciadv.adp9266 | Science Advances | 2,024 | Coquereau, A.; Foukal, N.; Våge, K. | The coastal circulation around Southern Greenland transports fresh, buoyant water masses from the Arctic and Greenland Ice Sheet near regions of convection, sinking, and deep-water formation in the Irminger and Labrador Seas. Here, we track the pathways and fate of these fresh water masses by initializing synthetic par... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Wind & Other Renewables | |
Exceptionally gigantic aurora in the polar cap on a day when the solar wind almost disappeared | 10.1126/sciadv.adn5276 | https://doi.org/10.1126/sciadv.adn5276 | Science Advances | 2,024 | Hosokawa, K.; Kataoka, R.; Tsuda, T.; Ogawa, Y.; Taguchi, S. | Revealing the origins of aurorae in Earth’s polar cap has long been a challenge since direct precipitation of energetic electrons from the magnetosphere is not always expected in this region of open magnetic field lines. Here, we introduce an exceptionally gigantic aurora filling the entire polar cap region on a day wh... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Fish-inspired dynamic charging for ultrafast self-protective solar-thermal energy storage | 10.1126/sciadv.adr8445 | https://doi.org/10.1126/sciadv.adr8445 | Science Advances | 2,024 | Li, X.; Zhang, J.; Liu, Y.; Xu, Y.; Xie, Y. |
Solar-thermal energy storage (STES) within solid-liquid phase change materials (PCMs) has emerged as an attractive solution to overcome intermittency of renewable energy. However, current storage systems usually suffer from slow charging rates, sacrificed storage capacity, and overheating tendency. Inspire... | CrossRef | CleanTech | Building Energy Materials | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
A synchronous-twisting method to realize radial scalability in fibrous energy storage devices | 10.1126/sciadv.ado7826 | https://doi.org/10.1126/sciadv.ado7826 | Science Advances | 2,024 | Zhou, Z.; Xie, S.; Cai, H.; Colli, A.; Monnens, W. |
For wearable electronics, radial scalability is one of the key research areas for fibrous energy storage devices to be commercialized, but this field has been shelved for years due to the lack of effective methods and configuration arrangements. Here, the team presents a generalizable strategy to realize r... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Precision and bias of carbon storage estimations in wetland and mangrove sediments | 10.1126/sciadv.adl1079 | https://doi.org/10.1126/sciadv.adl1079 | Science Advances | 2,024 | Ezcurra, E. | Peaty sediments in coastal wetlands play an important role in the sequestration of atmospheric carbon dioxide and its belowground storage. Sediment cores are used to quantify organic matter (OM) density, estimated by multiplying the bulk density of a core segment by its OM fraction. This method can be imprecise, as rep... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
CO
<sub>2</sub>
capture, geological storage, and mineralization using biobased biodegradable chelating agents and seawater | 10.1126/sciadv.adq0515 | https://doi.org/10.1126/sciadv.adq0515 | Science Advances | 2,024 | Wang, J.; Sekiai, R.; Tamura, R.; Watanabe, N. |
Geological storage and mineralization of CO
2
in mafic/ultramafic reservoirs faces challenges including limited effective porosity, permeability, and rock reactivity; difficulties in using seawater for CO
2
capture; and uncontrolled carbonation. This study in... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Highly oxidized intraplate basalts and deep carbon storage | 10.1126/sciadv.adm8138 | https://doi.org/10.1126/sciadv.adm8138 | Science Advances | 2,024 | Dong, X.; Wang, S.; Wang, W.; Huang, S.; Li, Q. |
Deep carbon cycle is crucial for mantle dynamics and maintaining Earth’s habitability. Recycled carbonates are a strong oxidant in mantle carbon-iron redox reactions, leading to the formation of highly oxidized mantle domains and deep carbon storage. Here we report high Fe
3+
/∑Fe v... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Bichloride-based ionic liquids for the merged storage, processing, and electrolysis of hydrogen chloride | 10.1126/sciadv.adn5353 | https://doi.org/10.1126/sciadv.adn5353 | Science Advances | 2,024 | Dreyhsig, G.; Voßnacker, P.; Kleoff, M.; Baunis, H.; Limberg, N. |
Hydrogen chloride is produced as a by-product in industrial processes on a million-ton scale. Since HCl is inherently dangerous, its storage and transport are avoided by, e.g., on-site electrolysis providing H
2
and Cl
2
which usually requires complex cell de... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
Olivine alteration and the loss of Mars’ early atmospheric carbon | 10.1126/sciadv.adm8443 | https://doi.org/10.1126/sciadv.adm8443 | Science Advances | 2,024 | Murray, J.; Jagoutz, O. |
The early Martian atmosphere had 0.25 to 4 bar of CO
2
but thinned rapidly around 3.5 billion years ago. The fate of that carbon remains poorly constrained. The hydrothermal alteration of ultramafic rocks, rich in Fe(II) and Mg, forms both abiotic methane, serpentine, and high-surfa... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion | |
A crowdsourced dataset of aerial images with annotated solar photovoltaic arrays and installation metadata | 10.1038/s41597-023-01951-4 | https://doi.org/10.1038/s41597-023-01951-4 | Scientific Data | 2,023 | Kasmi, G.; Saint-Drenan, Y.; Trebosc, D.; Jolivet, R.; Leloux, J. | AbstractPhotovoltaic (PV) energy generation plays a crucial role in the energy transition. Small-scale, rooftop PV installations are deployed at an unprecedented pace, and their safe integration into the grid requires up-to-date, high-quality information. Overhead imagery is increasingly being used to improve the knowl... | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
A solar panel dataset of very high resolution satellite imagery to support the Sustainable Development Goals | 10.1038/s41597-023-02539-8 | https://doi.org/10.1038/s41597-023-02539-8 | Scientific Data | 2,023 | Clark, C.; Pacifici, F. | AbstractEffectively supporting the United Nations’ Sustainable Development Goals requires reliable, substantial, and timely data. For solar panel installation monitoring, where accurate reporting is crucial in tracking green energy production and sustainable energy access, official and regulated documentation remains i... | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Solar active region magnetogram image dataset for studies of space weather | 10.1038/s41597-023-02628-8 | https://doi.org/10.1038/s41597-023-02628-8 | Scientific Data | 2,023 | Boucheron, L.; Vincent, T.; Grajeda, J.; Wuest, E. | AbstractIn this dataset we provide a comprehensive collection of line-of-sight (LOS) solar photospheric magnetograms (images quantifying the strength of the photospheric magnetic field) from the National Aeronautics and Space Administration’s (NASA’s) Solar Dynamics Observatory (SDO). The dataset incorporates data from... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
Georectified polygon database of ground-mounted large-scale solar photovoltaic sites in the United States | 10.1038/s41597-023-02644-8 | https://doi.org/10.1038/s41597-023-02644-8 | Scientific Data | 2,023 | Fujita, K.; Ancona, Z.; Kramer, L.; Straka, M.; Gautreau, T. | AbstractOver 4,400 large-scale solar photovoltaic (LSPV) facilities operate in the United States as of December 2021, representing more than 60 gigawatts of electric energy capacity. Of these, over 3,900 are ground-mounted LSPV facilities with capacities of 1 megawatt direct current (MWdc) or more. Ground-mounted LSPV ... | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Solar Energy Conversion | |
A battery dataset for electric vertical takeoff and landing aircraft | 10.1038/s41597-023-02180-5 | https://doi.org/10.1038/s41597-023-02180-5 | Scientific Data | 2,023 | Bills, A.; Sripad, S.; Fredericks, L.; Guttenberg, M.; Charles, D. | Abstract
Electric vertical takeoff and landing aircraft have a unique duty cycle characterized by high discharge currents at the beginning and end of the mission (corresponding to takeoff and landing of the aircraft) and a moderate power requirement between them with no rest periods during the mission... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Energy Storage & Batteries | |
HIT-UAV: A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection | 10.1038/s41597-023-02066-6 | https://doi.org/10.1038/s41597-023-02066-6 | Scientific Data | 2,023 | Suo, J.; Wang, T.; Zhang, X.; Chen, H.; Zhou, W. | AbstractWe present the HIT-UAV dataset, a high-altitude infrared thermal dataset for object detection applications on Unmanned Aerial Vehicles (UAVs). The dataset comprises 2,898 infrared thermal images extracted from 43,470 frames in hundreds of videos captured by UAVs in various scenarios, such as schools, parking lo... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Solar Energy Conversion |
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