Auto-calibration of mathematical asset models: Refflecting change of behavior of energy assets

Author(s):  
Michal Osladil ◽  
Libor Kozubik
Keyword(s):  
2021 ◽  
Vol 11 (11) ◽  
pp. 5218
Author(s):  
Matteo Zatti ◽  
Matteo Moncecchi ◽  
Marco Gabba ◽  
Alberto Chiesa ◽  
Filippo Bovera ◽  
...  

Energy communities (EC) are expected to have a pivotal role to reach European decarbonization targets. One of the key aspects is the regulatory framework adopted by each Member State to properly manage such new customers’ aggregation. The paper firstly provides an updated overview of the EC regulation, focusing on the current Italian legislation. Next, a novel methodology for the design and management of energy community initiatives is proposed. The procedure firstly solves a design and operation optimization problem to calculate the best size of energy assets (boiler, heat pump, photovoltaic, thermal storage) to be installed. Second, a Shapley value-based approach is exploited to distribute a part of the community’s incomes to members, based on their contribution to the overall welfare. Results demonstrate that the adopted methodology is effective in ensuring a proper cash flow for the community, while pushing its members towards energy efficient behaviors.


Author(s):  
Y. V. Borovsky

The article deals with privatization in Russia’s energy sector with a special focus on a recent purchase of the private TNK-BP by the state-owned Rosneft. The author analyses the past, present and future privatization deals related to the Russian oil, gas and power generation industry as compared to accumulated international experience. For instance, the article displays the ways the Norwegian, Brazilian, French and British authorities privatized national strategic energy assets. The study presented in the article also aims to find out key advantages and disadvantages of state or private ownership in the Russian and global energy industry. For example, it sheds light on some considerable achievements of the Russian state-controlled companies in oil production amid a widespread belief that more than a decade-long growth in the Russian oil industry is due only to private firms that were created in the 1990s. Additionally, the state-controlled Norwegian oil and gas firm Statoil that shows strong operational and financial results on the Norwegian Continental Shelf and abroad is also in the spotlight of the current study. In line with the mentioned takeover of TNK-BP the author examines outcomes of the reorganization of RAO UES of Russia (the dismantled Russian electric power monopoly) that was seen as a massive privatization of the national power industry. Moreover, the study presents two groups of interests prevailing in the Russian government and energy business to give an outlook on the Russian energy industry.


Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1333 ◽  
Author(s):  
Diego Francisco Larios ◽  
Enrique Personal ◽  
Antonio Parejo ◽  
Sebastián García ◽  
Antonio García ◽  
...  

The complexity of power systems is rising mainly due to the expansion of renewable energy generation. Due to the enormous variability and uncertainty associated with these types of resources, they require sophisticated planning tools so that they can be used appropriately. In this sense, several tools for the simulation of renewable energy assets have been proposed. However, they are traditionally focused on the simulation of the generation process, leaving the operation of these systems in the background. Conversely, more expert SCADA operators for the management of renewable power plants are required, but their training is not an easy task. SCADA operation is usually complex, due to the wide set of information available. In this sense, simulation or co-simulation tools can clearly help to reduce the learning curve and improve their skills. Therefore, this paper proposes a useful simulator based on a JavaScript engine that can be easily connected to any renewable SCADAs, making it possible to perform different simulated scenarios for novel operator training, as if it were a real facility. Using this tool, the administrators can easily program those scenarios allowing them to sort out the lack of support found in setting up facilities and training of novel operator tasks. Additionally, different renewable energy generation models that can be implemented in the proposed simulator are described. Later, as a use example of this tool, a study case is also performed. It proposes three different wind farm generation facility models, based on different turbine models: one with the essential generation turbine function obtained from the manufacturer curve, another with an empirical model using monotonic splines, and the last one adding the most important operational states, making it possible to demonstrate the usefulness of the proposed simulation tool.


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