Identifying the technological knowledge depreciation rate using patent citation data: a case study of the solar photovoltaic industry

2020 ◽  
Author(s):  
Jie Liu ◽  
Arnulf Grubler ◽  
Tieju Ma ◽  
Dieter F. Kogler
2018 ◽  
Vol 2 (1) ◽  
pp. 1-8 ◽  
Author(s):  
David Krantz

By policy design, consumers are supposed to save money when they invest in solar energy. This paper presents a case study of what happens when a church goes solar and the finances go wrong. Following the installation of solar-photovoltaic panels, the Arizona church—in the Valley of the Sun, among the sunniest places in the country—decreased its energy consumption, but its electric bills went up. Through oral-history interviews of key stakeholders, the author investigates what happened, and what could be done to prevent other religious institutions and nonprofits from experiencing the church’s fate.


Author(s):  
J. Gavilanes-Trapote ◽  
I. Etxeberria-Agiriano ◽  
E. Cilleruelo ◽  
G. Garechana

<p>Knowledge flow of technology is important for continuous growth and extension of science. Patent data analysis has facilitated this knowledge acquisition. The available patent information crosses borders, corresponds and interacts with new inventions to give new strength and dimension to the technology. Therefore, the patent citation information functions as a key indicator of the knowledge flow providing relevant information. It can be identified to which extent a region is a relevant technological knowledge generator to other regions. As an illustrative case, we present a study to determine the role played by the Basque Country region as a generator of technological innovation during the period 1991-2011.</p>


Author(s):  
Fernando Amoroso ◽  
Rubén Hidalgo-León ◽  
Jaqueline Litardo ◽  
Alejandro Granja ◽  
Jackeline Calderón ◽  
...  

Abstract This work shows the techno-economic comparison of the design of two solar photovoltaic systems: 1) on-grid (G-SPVS) and 2) off-grid (SPVS). Both schemes aim to supply electricity to a model water desalination plant located in Floreana Island, Ecuador. The annual load profiles and other operational details of the case study were previously obtained. For this research, a period of 15-years was analyzed. During this time, the maximum power of water pump system remained constant and represented the highest percentage of the electrical load, which changed each year influenced by the drinking water requirements of the population. Results from the HOMER PRO simulations showed that the SPVS produced higher surpluses of electricity. In contrast, the G-SPVS exhibited lower net present cost (NPC) and cost of energy (COE).


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