scholarly journals Risk Variables in Wind Power Supply Chain

2014 ◽  
Vol 124 ◽  
pp. 124-132 ◽  
Author(s):  
Gabriela Prostean ◽  
Andra Badea ◽  
Cristian Vasar ◽  
Prostean Octavian
Keyword(s):  
2014 ◽  
Vol 39 ◽  
pp. 356-369 ◽  
Author(s):  
Jiahai Yuan ◽  
Shenghui Sun ◽  
Jiakun Shen ◽  
Yan Xu ◽  
Changhong Zhao
Keyword(s):  

Author(s):  
Milton M. Herrera ◽  
Mauricio Uriona ◽  
Isaac Dyner

Previous studies have shown that poor performance of energy supply chains arises from incorrectly interpret feedback information and time delays between decisions and actions in energy policy. This paper assesses alternatives to improve performance of wind-power supply chain with transmission constraints that contribute to enhance response capacity of the wind industry to changes of energy policy. In order to test these alternatives, this paper used a simulation model with system dynamics (SD), taking as case study Brazil. The simulation model represents the main time lags and fluctuations that exist in the wind-power supply chain. Four simulation scenarios were proposed to evaluate changes in auction-based policy in wind industry of Brazil. The results are related to operational capacity, inventory levels and response capacity. This paper provides an analysis of different scenarios that contribute with synchronization of auctions policy, including transmission capacity constraints.


2021 ◽  
Author(s):  
Talat Genc

Abstract This paper examines General Electric's new combined-cycle gas turbine GT11N2 M upgrade. The new technology provides operational flexibility and promises output and cost efficiencies. To investigate the benefis of this technology, we propose a power supply chain model and construct cost functions for generation and service and maintenance using actual market and firm level data. The upstream firm is General Electric (GE) who invests in GT11N2 generators. The investment results in innovation of GT11N2 M upgrade facilitating different operational modes and efficiencies. The downstream firm is TransAlta's Sarnia plant which utilizes this new technology to produce and sell electricity to residential, small business, industrial, and wholesale market customers in Ontario, Canada. We quantify equilibrium prices and outputs under various efficiency rates in costs of fuel, service, and maintenance. We find a large variation in electricity generation depending on which operational mode ("Maximum Continuous Load" or "Performance" or "Lifetime") of GT11N2 M is selected. Under a mixed usage of all modes, we expect 44% output expansion to the industrial customers and 0.2% sales increase in the Ontario wholesale electricity market. Under this mode, GE's price should go down by 0.4% due to fuel cost efficiency. If GE's cost was $2.8 per MWh, GE should have asked Trans-Alta an average price of $5.822 per MWh for service and maintenance prior to the new technology. With the new technology, GE should charge $5.502 per MWh to Trans Alta. While GE's sales to wholesale market are almost stable, the sales to industrial customers increase nonlinearly in downstream efficiency rates. This shows that the amount of greenhouse gas emissions will be largely impacted by the choice of operational mode and how long it is used.


2018 ◽  
Vol 7 (3.5) ◽  
pp. 4
Author(s):  
Valeri Telegin ◽  
Nikolai Titov ◽  
Anatoli Stepanov

Power supply systems for small businesses based on renewable energy sources are most often based on converting wind energy, solar energy and water energy. Calculating its effectiveness is a time-consuming task, requiring the processing of a large amount of data specific for the geographical location of power generating units. In the article the technique of computer modeling of work of a park of wind power plants (WPP) with the purpose of definition of an optimum parity of their parameters is considered.   


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