thermal operation
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Author(s):  
N. Volianska

Utilization of heat from waste products of heat units’ combustion is one of the most important means of saving fuel and energy resources and improving the environmental performance of the enterprise. Improving the design of heat recuperators and increasing their energy efficiency by improving thermal performance is based primarily on the development of new and improvement of existing methods for calculating heat exchangers. In this paper, based on the method of elementary heat balances, a mathematical model of the thermal operation of a double-circulation recuperator is developed. The use of the described mathematical model of recuperator’s heat work makes it possible to analyze its design in terms of energy efficiency, durability, the ability to reduce heat emissions into the environment.


2021 ◽  
Vol 11 (13) ◽  
pp. 5818
Author(s):  
Imanol Eguren ◽  
Gaizka Almandoz ◽  
Aritz Egea ◽  
Leire Elorza ◽  
Ander Urdangarin

The thermal design is one of the most important stages in the design process of electrical machines. Thanks to software packages, like Motor-CAD, rotating machine designers can predict the thermal operation of the machines with high precision. However, a Motor-CAD equivalent for linear machines does not exist. Thus, linear machine designers must develop specific thermal analysis tools when designing the machines. In this article, a generic thermal analysis tool for different kinds of linear machines is presented. The model has been designed in MATLAB Simulink. Hence, it should be easy to implement for most engineers. The article describes the configuration of the different elements of the tool. The calibration parameters and procedure, and typical values of the calibration variables, are also given in the document. Finally, in order to demonstrate the generic nature of the tool, the model is experimentally validated via DC thermal tests to a linear induction machine and a linear switched-flux permanent magnet machine. The results show that, despite being simple and easy to implement, the model can predict the thermal operation of different machines with high precision.


2021 ◽  
Vol 9 ◽  
Author(s):  
Huimin Yun ◽  
Ziliang Wang ◽  
Ruixu Wang ◽  
Xiaotao Bi ◽  
Weihsin Chen

Auto-thermal operation of biomass torrefaction can help avoid additional heat investment and the associated costs to the system. This work provides a general method for relating the feedstock-specific parameters to the energy balance and pre-diagnosing the potential of auto-thermal for different biomass torrefaction and pyrolysis systems. Both solid and gas thermal properties under various torrefaction conditions and their influences to the torrefaction system energy balances are considered. Key parameters that influence the process auto-thermal operation are analyzed, which include torrefaction reaction heat, torrefaction conditions, drying method, biomass species, and inert N2 flowrate. Equations of torgas and biomass higher heating values (HHVs), as well as the torrefaction reaction heat at different operating conditions are developed. It is found that torgas and biomass HHVs increase with torrefaction temperature and biomass weight loss. Torrefaction reaction heat has a linear relationship with the biomass weight loss, with a positive slope at 250–260°C, and a negative slope at 270–300°C, which indicates that torrefaction shifts from endothermic to exothermic at ∼270°C. Applying advanced drying technology and avoiding the use of N2 can help the system achieve auto-thermal operation at lower torrefaction temperature and residence time, thus leading to a higher process energy efficiency and product yield. This is the first work to relate the micro level element changes of biomass to the macro level process energy balances of the torrefaction system. This work is important in design and operation of the torrefaction system in both pilot and industrial scales to improve process efficiency and predict product quality in a reliable and economic manner.


2021 ◽  
Vol 1723 (1) ◽  
pp. 012031
Author(s):  
H Terres ◽  
S Chávez ◽  
A Lizardi ◽  
E Alvarez
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