scholarly journals A CFD study on the energy saving in reheating furnace with oxygen-enriched air conditions

2020 ◽  
Author(s):  
A. Piyapaneekoon ◽  
P. Kowitwarangkul
Keyword(s):  
Energy Saving ◽  
Reheating Furnace

Research of Billet Heating Optimal Strategy Oriented to Energy Saving

2012 ◽  
Vol 512-515 ◽  
pp. 1303-1306
Author(s):  
Yin Juan Zhang
Keyword(s):  
Temperature Field ◽  
Energy Saving ◽  
Heating Process ◽  
Ansys Software ◽  
Billet Temperature ◽  
Element Analysis ◽  
Reheating Furnace ◽  
Optimal Setting ◽  
Heating Model ◽  
Save Energy

The character of billet heating is studied, in order to improve the billet heating quality and save energy, the prediction model within a billet temperature field is established. The billet heating process is carried on the modeling successful used finite element analysis. Based on analysis of billet heating model and ANSYS software, the temperature field in billet and the temperature setting of reheating furnace are combined, two methods are put forward of temperature optimal setting, the heat transfer situation and temperature field distribution within billet has been reappeared in the billet heating process, the optimal energy saving strategy of billet heating has got.

Subjective Time Preference and Willingness to Pay for an Energy-Saving Durable Good

2001 ◽  
Vol 32 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Gerrit Antonides ◽  
Sophia R. Wunderink
Keyword(s):  
Willingness To Pay ◽  
Energy Saving ◽  
Subjective Time ◽  
Durable Good ◽  
Discount Function ◽  
Hyperbolic Discount ◽  
The One ◽  
Two Parameter ◽  
Difference Effect ◽  
Better Than

Summary: Different shapes of individual subjective discount functions were compared using real measures of willingness to accept future monetary outcomes in an experiment. The two-parameter hyperbolic discount function described the data better than three alternative one-parameter discount functions. However, the hyperbolic discount functions did not explain the common difference effect better than the classical discount function. Discount functions were also estimated from survey data of Dutch households who reported their willingness to postpone positive and negative amounts. Future positive amounts were discounted more than future negative amounts and smaller amounts were discounted more than larger amounts. Furthermore, younger people discounted more than older people. Finally, discount functions were used in explaining consumers' willingness to pay for an energy-saving durable good. In this case, the two-parameter discount model could not be estimated and the one-parameter models did not differ significantly in explaining the data.

Classroom Lighting Energy-Saving Control System Based on Machine Vision Technology

2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Energy Saving ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Lighting Control ◽  
Lighting Energy ◽  
Neural Network Algorithm ◽  
Energy Saving Control ◽  
Model Algorithm

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.

Sign in / Sign up

Export Citation Format

Share Document