scholarly journals Valuation of electricity storage contracts using the COS method

2021 ◽  
Vol 410 ◽  
pp. 126416
Author(s):  
Boris C. Boonstra ◽  
Cornelis W. Oosterlee
Keyword(s):  
Author(s):  
José Juan González Márquez ◽  
Margarita González Brambila

This chapter analyses the role of electricity storage as an innovative strategy to attain the Mexican Government’s goals regarding carbon dioxide emission reduction and energy transition. The survey includes the analysis of the different electricity storage technologies as well as the legal framework governing electricity storage as the fifth link of the energy supply chain from a comparative perspective. The authors discuss whether energy storage is a generation or a distribution/transmission asset. The chapter also analyses Mexico’s experiences in energy storage and briefly describes the way it is regulated in other jurisdictions. Finally, the authors propose the regulation of energy storage as a separate licensed activity.


2020 ◽  
Author(s):  
Joshua McTigue ◽  
Pau Farres-Antunez ◽  
Kevin Ellingwood ◽  
Ty Neises ◽  
Alexander White

Author(s):  
Mohammad Rasouli ◽  
Tao Sun ◽  
Camille Pache ◽  
Patrick Panciatici ◽  
Jean Maeght ◽  
...  
Keyword(s):  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Stefan Poier

AbstractThis study among owners of photovoltaic systems investigates whether users' Big Five personality traits derived from their Facebook likes contribute to whether or not they adopt an electricity storage. It is based on the finding that the digital footprint, especially the Facebook likes, can in part predict the personality of users better than friends and family. The survey was conducted among 159 Facebook users in Germany who owned a photovoltaic system. For comparison, a control sample with data from the German Socio-Economic Panel with 425 photovoltaic owners among 7286 individuals was used. The results show that, for extraversion, agreeableness, and neuroticism, the mean scores could be sufficiently predicted. However, a positive correlation could only be detected for extraversion. The comparison of the user groups could not provide satisfying results. None of the Big Five personality traits could be used to distinguish the two user groups from each other. Although the results did not support the hypotheses, this study offers insights into the possibilities of combining data mining, personality psychology, and consumer research.


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