Nuclear Power: Effects of Plant Closures on Electricity Markets and Remaining Challenges

2018 ◽  
pp. 117-140
Author(s):  
Friedrich Kunz ◽  
Felix Reitz ◽  
Christian von Hirschhausen ◽  
Ben Wealer
Author(s):  
Thomas A. Ulrich ◽  
Roger Lew ◽  
Ronald L. Boring ◽  
Torrey Mortenson ◽  
Jooyoung Park ◽  
...  

Nuclear power plants are looking towards integrated energy systems to address the challenges faced by increasing competition from renewable energy and cheap natural gas in wholesale electricity markets. Electricity-hydrogen hybrid operations is one potential technology being explored. As part of this investigation a human factors team was integrated into the overall engineering project to develop a human system interface (HSI) for a novel system to extract steam for a coupled hydrogen production process. This paper presents the process used to perform the nuclear specific human factors engineering required to develop the HSI for this novel and unprecedented system. Furthermore, the early integration of the human factors team and the meaningful improvements to the engineering of the system itself in addition to the successful development of the HSI for this particular application are described. Lastly, the HSI developed is presented to demonstrate the culmination of the process and disseminate a potential HSI design for electricity-hydrogen hybrid operations that may be useful for others exploring similar integrated energy systems concepts.


Geoforum ◽  
2019 ◽  
Vol 106 ◽  
pp. 234-243 ◽  
Author(s):  
Angelica Greco ◽  
Daisaku Yamamoto

2021 ◽  
Author(s):  
Shivani Sharma

This master's thesis develops a pricing method for spark spread options using a Monte Carlo method. The underlying commodities of interest, natural gas and uranium highlight the prevalence of natural gas power and nuclear power in Canada. To characterize the dynamics of electricity prices and capture specific features they have, two Levy models are proposed: a jump-diffusion model and a time-changed model. Real data are used to calibrate the models, using the daily average market prices for the last five years. We created a method to compute the price of the derivative under realistic modelling conditions using parameters found through the real data. Such models can be used to value the spark spread contracts to mitigate the risk associated the contracts.


Author(s):  
Luigi De Paoli ◽  
Francesco Gulli

- The debate on the benefits of nuclear energy revolves around the very competitiveness of this energy source. This article tries to show why it is not easy to answer unambiguously the question whether or not it is convenient to resort to nuclear power in a given country. After listing the factors on which the cost of electricity generation rests and discussing the range of probability of their value, the levelized cost of electricity generation from nuclear, coal and gas-fired plants is calculated using the Monte Carlo method. The results show that nuclear power is likely to be competitive, especially if policies to combat CO2 emissions will continue in the coming decades. There are, however, some margins of uncertainty, mainly related, to the one hand, to the cost of nuclear plants, that depends on the socio-institutional context, and on the other, to the fossil fuels cost, that are inherently difficult to anticipate even on average. Finally it is noted that the context of liberalized electricity markets may make it more difficult for investors to accept the risk of investing in nuclear power plants and for the community to socialize some of the costs associated with this technology.Key words: Nuclear energy, generation costs, Montecarlo method, environmental impacts.JEL classifications: G11, H23, L72, L94, Q31, Q40


2021 ◽  
Author(s):  
Shivani Sharma

This master's thesis develops a pricing method for spark spread options using a Monte Carlo method. The underlying commodities of interest, natural gas and uranium highlight the prevalence of natural gas power and nuclear power in Canada. To characterize the dynamics of electricity prices and capture specific features they have, two Levy models are proposed: a jump-diffusion model and a time-changed model. Real data are used to calibrate the models, using the daily average market prices for the last five years. We created a method to compute the price of the derivative under realistic modelling conditions using parameters found through the real data. Such models can be used to value the spark spread contracts to mitigate the risk associated the contracts.


2014 ◽  
Vol 3 (2) ◽  
pp. 67-81 ◽  
Author(s):  
Frederick Powell Adams

The concept of “disruptive innovation” is a management tool that provides a framework for understanding the structure and dynamics of technology markets, especially their sometimes acute response to innovation. The concept was used in a preliminary assessment of a number of energy technologies, including renewable energy technologies and energy storage, as well as nuclear technologies, as they interact in industry and the marketplace. The technologies were assessed and perspectives were provided on their current potential for innovation to disrupt the value networks behind electricity markets. The findings indicate that this concept may provide useful guidance for the planning of technology development.


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