STUDY OF POLLUTING EMISSIONS OF BIOMASS IN A TUBE REACTOR FURNACE

2017 ◽  
Author(s):  
INÉS GUTIÉRREZ ◽  
ANA ÁLVAREZ ◽  
ALEJANDRO DÍAZ ◽  
CONSUELO PIZARRO ◽  
ANTONIO G. LAVÍN ◽  
...  
Keyword(s):  
Tube Reactor ◽  
Polluting Emissions

Axial dispersion in the liquid phase in a horizontal two-phase tube reactor

1991 ◽  
Vol 56 (6) ◽  
pp. 1249-1252
Author(s):  
Marie Fialová ◽  
Ctirad Verner ◽  
Lothar Ebner
Keyword(s):  
Liquid Phase ◽  
Flow Regimes ◽  
Basic Flow ◽  
Axial Dispersion ◽  
Two Phase ◽  
Tube Reactor

The characteristics of axial dispersion in the liquid phase were measured for two basic flow regimes in a horizontal two-phase tube reactor. The data obtained indicate that in some flow regions, axial dispersion can be quite significant.

scholarly journals Kinetics of 1- and 2-methylallyl + O2 reaction, investigated by photoionisation using synchrotron radiation

2021 ◽  
Author(s):  
Domenik Schleier ◽  
Engelbert Reusch ◽  
Marius Gerlach ◽  
Tobias Preitschopf ◽  
Deb Pratim Mukhopadhyay ◽  
...  
Keyword(s):  
Synchrotron Radiation ◽  
Reaction Kinetics ◽  
Molecular Oxygen ◽  
Light Source ◽  
Storage Ring ◽  
Vacuum Ultraviolet ◽  
Flow Tube ◽  
Tube Reactor ◽  
Swiss Light Source ◽  
Kinetics Of

The reaction kinetics of the isomers of the methylallyl radical with molecular oxygen has been studied in a flow tube reactor at the vacuum ultraviolet (VUV) beamline of the Swiss Light Source storage ring.

Predictive Analytics for Smart Parking: A Deep Learning Approach in Forecasting of IoT Data

2021 ◽  
Vol 21 (3) ◽  
pp. 1-21
Author(s):  
Francesco Piccialli ◽  
Fabio Giampaolo ◽  
Edoardo Prezioso ◽  
Danilo Crisci ◽  
Salvatore Cuomo
Keyword(s):  
Deep Learning ◽  
Smart City ◽  
Predictive Analytics ◽  
Positive Impact ◽  
Search Time ◽  
Building Blocks ◽  
Ensemble Technique ◽  
Smart Parking ◽  
Polluting Emissions ◽  
The City

Nowadays, a sustainable and smart city focuses on energy efficiency and the reduction of polluting emissions through smart mobility projects and initiatives to “sensitize” infrastructure. Smart parking is one of the building blocks of intelligent mobility, innovative mobility that aims to be flexible, integrated, and sustainable and consequently integrated into a Smart City. By using the Internet of Things (IoT) sensors located in the parking areas or the underground car parks in combination with a mobile application, which indicates to citizens the free places in the different areas of the city and guides them toward the chosen parking, it is possible to reduce air pollution and fluidifying noise traffic. In this article, we present and discuss an innovative Deep Learning-based ensemble technique in forecasting the parking space occupancy to reduce the search time for parking and to optimize the flow of cars in particularly congested areas, with an overall positive impact on traffic in urban centres. A genetic algorithm has also been used to optimize predictors parameters. The main goal is to design an intelligent IoT-based service that can predict, in the next few hours, the parking spaces occupancy of a street. The proposed approach has been assessed on a real IoT dataset composed by over than 15M of collected sensor records. Obtained results demonstrate that our method outperforms both single predictors and the widely used strategy of the mean providing inherently robust predictions.

Design correlations of an air-lift tube reactor

1995 ◽  
Vol 9 (2) ◽  
pp. 101-109 ◽  
Author(s):  
J.G. Majeed ◽  
E. Békásy-Molnár
Keyword(s):  
Tube Reactor ◽  
Air Lift

scholarly journals Biomass fast pyrolysis in a drop tube reactor for bio oil production: Experiments and modeling

Fuel ◽  
2017 ◽  
Vol 207 ◽  
pp. 71-84 ◽  
Author(s):  
Chamseddine Guizani ◽  
Sylvie Valin ◽  
Joseph Billaud ◽  
Marine Peyrot ◽  
Sylvain Salvador
Keyword(s):  
Fast Pyrolysis ◽  
Oil Production ◽  
Drop Tube ◽  
Tube Reactor ◽  
Bio Oil ◽  
Biomass Fast Pyrolysis
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