scholarly journals Cycle Stability of the Effective Thermal Conductivity of Nickel‐Activated Magnesium Hydride Powder under Operating Conditions

2020 ◽  
Vol 8 (10) ◽  
pp. 2000356
Author(s):  
Rene Albert ◽  
Christian Wagner ◽  
Robert Urbanczyk ◽  
Michael Felderhoff
Keyword(s):  
Thermal Conductivity ◽  
Effective Thermal Conductivity ◽  
Magnesium Hydride ◽  
Operating Conditions ◽  
Cycle Stability ◽  
Hydride Powder

Prediction of effective thermal conductivity of two-phase porous media by nomogram

1974 ◽  
Vol 24 (8) ◽  
pp. 437-445 ◽  
Author(s):  
P. B. Lal Chaurasia ◽  
D. R. Chaudhary ◽  
R. C. Bhandari
Keyword(s):  
Thermal Conductivity ◽  
Porous Media ◽  
Effective Thermal Conductivity ◽  
Two Phase

Parametric Study of Photovoltaic Thermal Solar Collector Using An Improved Parallel Flow

2020 ◽  
Vol 2 (1) ◽  
pp. 19-24
Author(s):  
Sakhr Mohammed Sultan ◽  
Chih Ping Tso ◽  
Ervina Efzan Mohd Noor ◽  
Fadhel Mustafa Ibrahim ◽  
Saqaff Ahmed Alkaff
Keyword(s):  
Thermal Conductivity ◽  
Energy Balance ◽  
Parametric Study ◽  
Solar Collector ◽  
Parallel Flow ◽  
Operating Conditions ◽  
Balance Equations ◽  
Conductivity Type ◽  
Pv Module ◽  
Sunny Weather

Photovoltaic Thermal Solar Collector (PVT) is a hybrid technology used to produce electricity and heat simultaneously. Current enhancements in PVT are to increase the electrical and thermal efficiencies. Many PVT factors such as type of absorber, thermal conductivity, type of PV module and operating conditions are important parameters that can control the PVT performance. In this paper, an analytical model, using energy balance equations, is studied for PVT with an improved parallel flow absorber. The performance is calculated for a typical sunny weather in Malaysia. It was found that the maximum electrical and thermal efficiencies are 12.9 % and 62.6 %, respectively. The maximum outlet water temperature is 59 oC.

EFFECTIVE THERMAL CONDUCTIVITY OF HETEROGENEOUS LYOPHOBIC NANOSYSTEMS FOR USE IN THERMOMECHANICAL ENERGY DEVICES

2011 ◽  
Author(s):  
A. V. Yevtushenko ◽  
V. P. Stoudenets ◽  
V. A. Eroshenko
Keyword(s):  
Thermal Conductivity ◽  
Effective Thermal Conductivity ◽  
Energy Devices

APPLICABILITY OF ARTIFICIAL NEURAL NETWORKS TO PREDICT EFFECTIVE THERMAL CONDUCTIVITY OF HIGHLY POROUS METAL FOAMS

2013 ◽  
Vol 16 (7) ◽  
pp. 585-596 ◽  
Author(s):  
Rajpal S. Bhoopal ◽  
P. K. Sharma ◽  
Ramvir Singh ◽  
R. S. Beniwal
Keyword(s):  
Thermal Conductivity ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Effective Thermal Conductivity ◽  
Porous Metal ◽  
Metal Foams ◽  
Artificial Neural ◽  
Highly Porous

Highly Porous Metal Foams: Effective Thermal Conductivity Measurement Using a Photothermal Technique

2009 ◽  
Vol 12 (10) ◽  
pp. 939-954 ◽  
Author(s):  
Mourad Fetoui ◽  
Fethi Albouchi ◽  
Fabrice Rigollet ◽  
Sassi Ben Nasrallah
Keyword(s):  
Thermal Conductivity ◽  
Effective Thermal Conductivity ◽  
Conductivity Measurement ◽  
Porous Metal ◽  
Metal Foams ◽  
Thermal Conductivity Measurement ◽  
Photothermal Technique ◽  
Highly Porous
Sign in / Sign up

Export Citation Format

Share Document