Identification of Market Power in Large-Scale Electric Energy Markets

Author(s):  
B.C. Lesieutre ◽  
HyungSeon Oh ◽  
R.J. Thomas ◽  
V. Donde
Author(s):  
Magda Foti ◽  
Manolis Vavalis

This paper has two aims. Firstly, to briefly present overall objectives and expected outcome of an on-going effort concerning design, implementation and the analysis of next generation energy systems based on anticipatory control and a set of ICT emerging technologies and innovations. Secondly, to describe an early proof-of-concept implementation and the associated experimentation of a simulation platform focused on holistic detailed studies of electric energy markets. The proposed platform allows us to elucidate issues related to the open and smart participation of producers and consumers on large-scale e-markets. Based on an existing simulation system, the authors present the required theoretical studies, the enabling technologies, and the practical tools that contribute to the development of such a platform capable of truly large scale simulations. Elements of game theory are utilized to solve the optimization problem related to the maximization of the social welfare of producers and consumers. Selected simulation results associated with the basic required characteristics are presented.


Author(s):  
Rafik Fainti ◽  
Antonia Nasiakou ◽  
Eleftherios Tsoukalas ◽  
Manolis Vavalis

The aim of this paper is twofold. Firstly, to briefly present the overall objectives and the expected outcome of an on-going effort concerning the design the implementation and the analysis of next generation intelligent energy systems based on anticipatory control and a set of ICT emerging technologies and innovations. Secondly, to describe an early proof-of-concept implementation and the preliminary experimentation of a simulation platform focused on holistic detailed studies of electric energy markets. The proposed platform allows us to elucidate issues related to the open and smart participation of producers and consumers on large-scale energy e-markets. Based on an existing simulation system we present the required theoretical studies, the enabling technologies, and the practical tools that contribute to the development of such a platform capable of truly large scale simulations that cover real life scenarios and stress most components and modules of next generation smart energy markets. Elements of game theory are utilized to solve the optimization problem related to the maximization of the social welfare of producers and consumers. Selected simulation results associated with the basic required characteristics of our platform are presented.


2021 ◽  
Vol 299 ◽  
pp. 117249
Author(s):  
Wilhelm Cramer ◽  
Klemens Schumann ◽  
Michael Andres ◽  
Chris Vertgewall ◽  
Antonello Monti ◽  
...  

Author(s):  
Josef Los ◽  
Jiří Fryč ◽  
Zdeněk Konrád

The method of drying maize for grain has been recently employed on a large scale in the Czech Republic not only thanks to new maize hybrids but also thanks to the existence of new models of drying plants. One of the new post-harvest lines is a plant in Lipoltice (mobile dryer installed in 2010, storage base in 2012) where basic operational measurements were made of the energy intensiveness of drying and operating parameters of the maize dryer were evaluated. The process of maize drying had two stages, i.e. pre-drying from the initial average grain humidity of 28.55% to 19.6% in the first stage, and the additional drying from 16.7% to a final storage grain humidity of 13.7%. Mean volumes of natural gas consumed per 1 t% for drying in the first and second stage amounted to 1.275 m3 and 1.56 m3, respectively. The total mean consumption of electric energy per 1 t% was calculated to be 1.372 kWh for the given configuration of the post-harvest line.


1999 ◽  
Vol 24 (3-4) ◽  
pp. 233-241 ◽  
Author(s):  
Fernando L. Alvarado

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