electric power production
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2022 ◽  
Vol 14 (2) ◽  
pp. 659
Author(s):  
Jasna Potočnik Topler

Energy tourism, which is quite recent despite the fact that the practice of tourists visiting power plants, very often for educational purposes, has a long tradition in Slovenia due to power plants on the Drava River. Particularly, the oldest Fala power plant is an area where the technical field of electric power production and transmission overlaps with tourism. The article that employs the methods of participant observation, interviews with some stakeholders and content analysis focuses on some possibilities of including electric power production and transmission infrastructure into various tourist and educational programmes, including through storytelling, which is a useful tool also when it comes to presenting sustainable and socially responsible project design, considering the needs of all stakeholders involved in the process and, consequently, raising awareness and responsibility towards the environment. Based on a case study of the Kobarid substation, which is a modern sustainably designed power facility built in a Natura 2000 protected area, this article focuses on the possibilities of creating new energy tourism products by employing storytelling, new media and new technologies.


Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6915
Author(s):  
Seung-Mo Je ◽  
Hyeyoung Ko ◽  
Jun-Ho Huh

This paper has tried to execute accurate demand forecasting by utilizing big data visualization and proposes a flexible and balanced electric power production big data virtualization based on a photovoltaic power plant. First of all, this paper has tried to align electricity demand and supply as much as possible using big data. Second, by using big data to predict the supply of new renewable energy, an attempt was made to incorporate new and renewable energy into the current power supply system and to recommend an efficient energy distribution method. The first presented problem that had to be solved was the improvement in the accuracy of the existing electricity demand for forecasting models. This was explained through the relationship between the power demand and the number of specific words in the paper that use crawling by utilizing big data. The next problem arose because the current electricity production and supply system stores the amount of new renewable energy by changing the form of energy that is produced through ESS or that is pumped through water power generation without taking the amount of new renewable energy that is generated from sources such as thermal power, nuclear power, and hydropower into consideration. This occurs due to the difficulty of predicting power production using new renewable energy and the absence of a prediction system, which is a problem due to the inefficiency of changing energy types. Therefore, using game theory, the theoretical foundation of a power demand forecasting model based on big data-based renewable energy production forecasting was prepared.


2021 ◽  
Vol 9 ◽  
Author(s):  
Emanuele Martelli ◽  
Falah Alobaid ◽  
Cristina Elsido

After more than one century from its first use for electric power production, steam cycles are still the object of continuous research and development efforts worldwide. Indeed, owing to its favorable thermodynamic properties, steam cycles are not only used in coal-fired power plants but in a large variety of applications such as combined cycles, concentrated solar power plants and polygeneration plants. On the other hand, to cope with the efficiency and flexibility requirements set by today’s energy markets, the design and the operation of steam cycles must be carefully optimized. A key rule is played by the simulation and optimization codes developed in the last 30 years. This paper provides an introduction to the main types of simulation and optimization problems (design, off-design operation and dynamic), an overview of the mathematical background (possible solution approaches, numerical methods and available software), and a review of the main scientific contributions.


Author(s):  
V. V. Wysochin ◽  
V. R. Nikulshin ◽  
A. E. Denysova

Purpose. To develop the integrated mathematical model for definition of bifacial solar element rational power operation in the various operation conditions caused by orientation of solar panels and power influence. Methodology. We have proposed the method of definition of bifacial solar elements irradiation and temperature mode and also electric power production at various orientation of panels. Results. We have made analytical investigations of temperature operation conditions of solar elements and their influence on electrical power for various panels orientation in space. Features of irradiation of the forward and back parts of solar panels, conditions of a temperature operating mode and its influence on electric power production are shown. Possibilities of rational conditions of spatial panels orientation are considered. Originality. We have suggested and proved the model of definition bifacial irradiation solar panels and thermal conditions of electric power production and also rational conditions of spatial orientation of panels. Practical value. The developed by us methodology as well as results of its application, allows to choose rational architecture of a solar power station with high efficiency.


2021 ◽  
Vol 20 (1) ◽  
pp. 58
Author(s):  
A. G. Gallego ◽  
A. C. C. Souza ◽  
P. H. Morais ◽  
M. Modesto

Oil platforms are complex structures used to host workers and equipmentneeded in offshore exploration. This study focuses on the platform's heatand electricity cogeneration plant, which supplies a process heat exchangersnet, and provides the necessary electricity for all the equipment used for theprocess and worker's accommodation in the platform. The platform demandwith maximum load is 75 MW, which could be achieved using four gasturbines (25 MW each), one of which is kept for backup purposes or usingsix dual-fuel engines diesel/natural gas (15 MW each), one of which is alsokept for backup purposes. Therefore, the thermodynamic analysis wasperformed - considering five specific demand points of the platform -comparing the two traditional configurations (gas turbines and dual-fuelengines diesel/natural gas) and a combined configuration. The combinedconfiguration is composed of three gas turbines and two dual-fuel enginesdiesel/natural gas (one of the gas turbines kept for backup purposes). Theconfigurations presented respectively 35.5%, 48.4% and 42.6% at highestoverall efficiency; 611.34 g/kWh, 373.45 g/kWh, 472.74 g/kWh at lowestCO2 emissions considering full attendance of electrical and thermaldemands. The configurations using only gas turbines and the combinedfully attended the thermal demand of the platform without using auxiliarypieces of equipment. Therefore, it was possible to observe that thecombined configuration presented several advantages concerning isolatedsystems, proving to be an excellent option for sustainable energygeneration, reducing emissions of polluting gases and greater flexibility ofits operation concerning to configuration only with turbines, and physicaloccupation in relation to configuration only with engines.


2021 ◽  
Vol 330 ◽  
pp. 04002
Author(s):  
Denis Zastrelov ◽  
Ekaterina Lukina ◽  
Ekaterina Snetova

The amount of greenhouse gas emissions in the “Energy sector” on the territory of the Russian Federation is presented. The estimate of potential for greenhouse gas emissions reduction in the energy sector is considered. Recommendations for reducing greenhouse gas emissions in the “Energy sector” are provided.


2020 ◽  
Vol 35 (4) ◽  
pp. 533-558
Author(s):  
Elin Svensson ◽  
Rikard Edland ◽  
Christian Langner ◽  
Simon Harvey

AbstractThis paper presents a model for design optimization of pulp mill steam utility systems subject to variations in energy prices and steam demands. A Scandinavian Kraft pulp mill is used as case study to investigate investment opportunities in lignin extraction and new turbines. The model enables solutions to be identified that are more flexible than the solutions that would have been identified with a corresponding model using, for example, annual average values for key input data. The results from the case study show that lignin extraction has a potential to contribute to flexibility in pulp mill electric power production under certain conditions provided that the mill invests in both lignin extraction and condensing turbine capacity. However, the potential electric power production flexibility will vary over time. In the studied mill, with a capacity increased to around 1.3 million tonnes/a of pulp, it is estimated to vary between 15 and 30 MW. Furthermore, investment in new condensing turbine capacity only seems to be attractive if electricity prices that are considerably higher than the spot prices of recent years are assumed. Such prices may occur if there is a clear value of tradable electricity certificates or if future electricity prices rise significantly.


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