Results 21 to 30 of about 701,668 (295)

CO2 Emissions Reduction through Increasing H2 Participation in Gaseous Combustible—Condensing Boilers Functional Response

open access: yesApplied Sciences, 2022
Considering the imperative reduction in CO2 emissions, both from household heating and hot water producing facilities, one of the mainstream directions is to reduce hydrocarbons in combustibles by replacing them with hydrogen.
Nicolae N. Antonescu   +2 more
doaj   +1 more source

Real World Fuel Consumption and Emissions From LDVs and HDVs

open access: yesFrontiers in Mechanical Engineering, 2019
Real world emissions and energy consumption behavior from vehicles is a key element for meeting air iquality and greenhouse gas (GHG) targets for any country. While CO2 fleet targets for vehicles are defined on basis of standardized test procedures, real
Konstantin Weller   +5 more
doaj   +1 more source

Thermodynamic holography [PDF]

open access: yesScientific Reports, 2015
AbstractThe holographic principle states that the information about a volume of a system is encoded on the boundary surface of the volume. Holography appears in many branches of physics, such as optics, electromagnetism, many-body physics, quantum gravity and string theory. Here we show that holography is also an underlying principle in thermodynamics,
Bo-Bo Wei, Zhan-Feng Jiang, Ren-Bao Liu
openaire   +3 more sources

Thermophysical Properties of Cement Mortar Containing Waste Glass Powder

open access: yesCrystals, 2021
This study aims to provide a thermophysical characterization of a new economical and green mortar. This material is characterized by partially replacing the cement with recycled soda lime glass.
Oumaima Nasry   +9 more
doaj   +1 more source

Fuzzy logic speed control for the engine of an air-powered vehicle

open access: yesAdvances in Mechanical Engineering, 2016
To improve the condition of air and eliminate exhaust gas pollution, this article proposes a compressed air power system. Instead of an internal combustion engine, the automobile is equipped with a compressed air engine, which transforms the energy of ...
Qihui Yu   +3 more
doaj   +1 more source

Unitary Thermodynamics from Thermodynamic Geometry [PDF]

open access: yesJournal of Low Temperature Physics, 2013
Degenerate Fermi gases of atoms near a Feshbach resonance show universal thermodynamic properties, which are here calculated with the geometry of thermodynamics, and the thermodynamic curvature $R$. Unitary thermodynamics is expressed as the solution to a pair of ordinary differential equations, a "superfluid" one valid for small entropy per atom $z ...
openaire   +2 more sources

Output dynamic control of a late model sustainable energy automobile system with nonlinearity

open access: yesAdvances in Mechanical Engineering, 2016
Air-liquid pressurization convertor has been applied in energy boosting which is widely used in sustainable energy automobile. In this article, output dynamic control method is analyzed by model simulation and experimental validation to set foundation ...
Maolin Cai   +3 more
doaj   +1 more source

Relaxor behavior in lead-free Ba(Ti1−xScx/2Nbx/2)O3 ceramics

open access: yesJournal of Asian Ceramic Societies, 2014
Solid solutions of (1−x)BaTiO3-xBaSc1/2Nb1/2O3 (BT-BSN) with x = 0.025, 0.05, 0.075, 0.1 and 0.125 were prepared by a high temperature solid-state reaction technique.
N. Bensemma, K. Taïbi
doaj   +1 more source

Performance enhancement of concentrated photovoltaic systems CPVS using a nanofluid optical filter

open access: yesCase Studies in Thermal Engineering, 2022
The exploitation of solar energy using hybrid photovoltaic/thermal (PVT) system can represent a viable choice for the rising energy demand. Due to the wide range of PVT applications, many designs have been developed to improve the solar system global ...
Afef Jannen   +3 more
doaj   +1 more source

RNA secondary structure prediction using deep learning with thermodynamic integration

open access: yesNature Communications, 2020
Accurate predictions of RNA secondary structures can help uncover the roles of functional non-coding RNAs. Although machine learning-based models have achieved high performance in terms of prediction accuracy, overfitting is a common risk for such highly
Kengo Sato   +2 more
semanticscholar   +1 more source

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