Results 51 to 60 of about 795,575 (216)

Bidirectional Soft Catalysts for Improved Power Performance of Li‐S Batteries

open access: yesAdvanced Science, EarlyView.
A soft polymer‐metal catalyst is integrated into the binder to create a catalytically active microenvironment that accelerates bidirectional sulfur redox kinetics in lithium‐sulfur batteries. A model polyvinyl alcohol‐Cu catalyst enables high areal capacities at demanding current densities and stable cycling in pouch‐cell prototypes at 0.5 C, achieving
Maleesha M. Nishshanke   +7 more
wiley   +1 more source

LCOE Analysis of Tower Concentrating Solar Power Plants Using Different Molten-Salts for Thermal Energy Storage in China

open access: yesEnergies, 2019
In recent years, the Chinese government has vigorously promoted the development of concentrating solar power (CSP) technology. For the commercialization of CSP technology, economically competitive costs of electricity generation is one of the major ...
Xiaoru Zhuang   +3 more
doaj   +1 more source

Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches

open access: yesAIChE Journal, EarlyView.
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin   +2 more
wiley   +1 more source

Re-evaluating the Grid: the social life of programs [PDF]

open access: yes, 2008
This paper discusses programming the Grid in the space between the Grid infrastructure and those using it to conduct scientific research. Rather than looking at any particular grid programming model, we consider the need to address ‘usability’ of ...
De Roure, David   +3 more
core   +2 more sources

Towards real-time optimal control of wind farms using large-eddy simulations [PDF]

open access: yesWind Energy Science
Large-eddy simulations (LESs) are commonly considered too slow to serve as a practical wind farm control model. Using coarser grid resolutions, this study examines the feasibility of LES for real-time, receding-horizon control to optimize the overall ...
N. Janssens, J. Meyers
doaj   +1 more source

THE IMPACT OF SUBSIDY MECHANISMS ON BIOMASS AND OIL SHALE BASED ELECTRICITY COST PRICES; pp. 140–151 [PDF]

open access: yesOil Shale, 2011
This paper provides electricity cost price estimates for biomass-based CHP plants and oil shale power plants to be constructed before 2013 and 2015 that can serve as references for more detailed case-specific studies.
E. LATÕŠOV, A. VOLKOVA, Andres SIIRDE
doaj   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

open access: yesAdvanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

Concentrated Photo Voltaics (CPV): a case study

open access: yesEPJ Web of Conferences, 2015
Concentrated PhotoVoltaic (CPV), among green energy solutions, nowadays has the ambition to reach grid-parity without subside. CPV substitutes large areas of expensive semiconductor solar cells, with concentrating optics made of cheap materials. Moreover
Centro S.
doaj   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

open access: yesAdvanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Economic Analysis of Offshore Wind Power in Grid Parity Stage in Guangdong Province

open access: yes南方能源建设
[Objective] Offshore wind power is one of the important ways to achieve carbon peaking and carbon neutrality in the future, and has a good development prospect.
Rui ZHAO, Ying CHEN
doaj   +1 more source

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