APCVD prepared TiNxOy films with energy-saving and self-cleaning functions

2018 ◽  
Vol 746 ◽  
pp. 445-452 ◽  
Author(s):  
Xinwen Zhang ◽  
Gaoling Zhao ◽  
Jing Zhou ◽  
Xiaoxuan Lin ◽  
Tianbo Zhang ◽  
...  
Keyword(s):  
Energy Saving ◽  
Self Cleaning

Multilayer thin film structures for multifunctional glass: Self-cleaning, antireflective and energy-saving properties

2020 ◽  
Vol 264 ◽  
pp. 114697 ◽  
Author(s):  
Corrado Garlisi ◽  
Esra Trepci ◽  
Xuan Li ◽  
Reem Al Sakkaf ◽  
Khalid Al-Ali ◽  
...  
Keyword(s):  
Thin Film ◽  
Energy Saving ◽  
Multilayer Thin Film ◽  
Self Cleaning

scholarly journals Intelligent Multifunctional VO2/SiO2/TiO2 Coatings for Self-Cleaning, Energy-Saving Window Panels

2016 ◽  
Vol 28 (5) ◽  
pp. 1369-1376 ◽  
Author(s):  
Michael J. Powell ◽  
Raul Quesada-Cabrera ◽  
Alaric Taylor ◽  
Diana Teixeira ◽  
Ioannis Papakonstantinou ◽  
...  
Keyword(s):  
Energy Saving ◽  
Self Cleaning ◽  
Tio2 Coatings

Three-Layered Hollow Nanospheres Based Coatings with Ultrahigh-Performance of Energy-Saving, Antireflection, and Self-Cleaning for Smart Windows

Small ◽  
2018 ◽  
Vol 14 (34) ◽  
pp. 1801661 ◽  
Author(s):  
Lin Yao ◽  
Zhe Qu ◽  
Zili Pang ◽  
Jing Li ◽  
Siyao Tang ◽  
...  
Keyword(s):  
Energy Saving ◽  
Hollow Nanospheres ◽  
Smart Windows ◽  
Self Cleaning

Tungsten-doped vanadium dioxide thin films as smart windows with self-cleaning and energy-saving functions

2017 ◽  
Vol 694 ◽  
pp. 124-131 ◽  
Author(s):  
Zihui Liang ◽  
Li Zhao ◽  
Wanfan Meng ◽  
Cheng Zhong ◽  
Shoubin Wei ◽  
...  
Keyword(s):  
Thin Films ◽  
Energy Saving ◽  
Vanadium Dioxide ◽  
Smart Windows ◽  
Self Cleaning ◽  
Vanadium Dioxide Thin Films

Research on the Self-Cleaning Sole Cleaner

2013 ◽  
Vol 561 ◽  
pp. 581-584
Author(s):  
Zhan Guo Zhang ◽  
Li Xia Sun ◽  
Xiao Yong Liu ◽  
Jian Yong Li ◽  
Xiang Yan Lv
Keyword(s):  
Energy Saving ◽  
Environmental Protection ◽  
Water Level ◽  
Coming Out ◽  
Simple Structure ◽  
The Self ◽  
Public Places ◽  
Cleaning Device ◽  
Pressure Water ◽  
Self Cleaning

The self-cleaning sole cleaner designed in this paper is a kind of cleaning device widely used in large public places. It possesses functions such as washing, wiping, drying and self cleaning, and so can thoroughly clean sole. It is chiefly composed of pressure washing unit and self-cleaning wiping unit. The device washes the sand and mud adhered to sole by the pressure water coming out of the pressure cleaning head at first, and then wipes off the sole sewage by the wiping unit, finally dries sole. Main advantages of the cleaner are concluded to simple structure, good cleaning effect, energy saving, and environmental protection by adopting the technologies of water level automatic keep and sewage dispose.

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.

Sign in / Sign up

Export Citation Format

Share Document