Research on energy-saving grounding technology for overhead ground line of transmission line

2019 ◽  
Author(s):  
Zhiguo Li
2019 ◽  
Vol 2019 (16) ◽  
pp. 3088-3091 ◽  
Author(s):  
Wang Haitao ◽  
Yan Biwu ◽  
Pu Ziheng ◽  
Xiong Yuyao ◽  
Fan Qiang ◽  
...  

2012 ◽  
Vol 151 ◽  
pp. 170-174
Author(s):  
Zhong Liang Deng ◽  
Hong Lai Qu ◽  
Yuan Zhi Chen

This paper presents a novel MEMS coplanar microwave waveguide (CPW) structure. The high-resistivity silicon is chosen as the material of substrate and the aluminum is as the metal transmission line because of its high conductivity ,Removing the silicon between the signal line and ground line, underneath the edge of both line,these can effectly reduce the loss.A layer of polyimide is added between the metal and silicon substrates continued to reduce the loss. The simulation results from HFSS show and demonstrate the insert loss is less than the results of traditional CPW.


2001 ◽  
Vol 32 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Gerrit Antonides ◽  
Sophia R. Wunderink

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.


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