Previous Issue
Volume 4, December
 
 

Thermo, Volume 5, Issue 1 (March 2025) – 3 articles

  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list.
  • You may sign up for e-mail alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.
Order results
Result details
Select all
Export citation of selected articles as:
19 pages, 1568 KiB  
Article
Energy and Exergy Analyses Applied to a Crop Plant System
by Heba Alzaben and Roydon Fraser
Thermo 2025, 5(1), 3; https://doi.org/10.3390/thermo5010003 - 30 Jan 2025
Viewed by 318
Abstract
The second law of thermodynamics investigates the quality of energy, or in other words exergy, described as the maximum useful to the dead-state work. The objective of this paper is to investigate the energy and exergy flows in a crop plant system in [...] Read more.
The second law of thermodynamics investigates the quality of energy, or in other words exergy, described as the maximum useful to the dead-state work. The objective of this paper is to investigate the energy and exergy flows in a crop plant system in order to identify the dominant flows and parameters (e.g., temperature) affecting crop plant development. The need for energy and exergy analyses arises from the hypothesis that crop stress can be detected via surface temperature measurements, as explained by the exergy destruction principle (EDP). Based on the proposed energy model, it is observed that radiation and transpiration terms govern all other terms. In addition, as a result of exergy analysis, it is observed that solar exergy governs all input and output terms. The results obtained from this study support the hypothesis that crop surface temperature can be utilized as an indicator to detect crop stress. Full article
Show Figures

Figure 1

2 pages, 387 KiB  
Correction
Correction: Rabi’ et al. Packed Bed Thermal Energy Storage System: Parametric Study. Thermo 2024, 4, 295–314
by Ayah Marwan Rabi’, Jovana Radulovic and James M. Buick
Thermo 2025, 5(1), 2; https://doi.org/10.3390/thermo5010002 - 17 Jan 2025
Viewed by 201
Abstract
In the original publication [...] Full article
Show Figures

Figure 1

19 pages, 4625 KiB  
Article
Optimal Design Parameters for Supercritical Steam Power Plants
by Victor-Eduard Cenușă and Ioana Opriș
Thermo 2025, 5(1), 1; https://doi.org/10.3390/thermo5010001 - 16 Jan 2025
Viewed by 622
Abstract
Steam thermal power plants represent important energy production systems. Within the energy mix, these could allow flexible generation and the use of hybrid systems by integrating renewables. The optimum design solution and parameters allow higher energy efficiency and lower environmental impact. This paper [...] Read more.
Steam thermal power plants represent important energy production systems. Within the energy mix, these could allow flexible generation and the use of hybrid systems by integrating renewables. The optimum design solution and parameters allow higher energy efficiency and lower environmental impact. This paper analyzes single reheat supercritical steam power plants design solutions using a genetic heuristic algorithm. A multi-objective optimization was made to find the Pareto frontier that allows the maximization of the thermal cycle net efficiency and minimization of the specific investment in the power plant equipment. The Pareto population was split and analyzed depending on the total number of preheaters. The mean values and the standard deviations were found for the objective functions and main parameters. For the thermal cycle schemes with eight preheaters, the average optimal thermal cycle efficiency is (48.09 ± 0.16)%. Adding a preheater increases the average optimal thermal cycle efficiency by 0.64%, but also increases the average optimum specific investments by 7%. It emphasized the importance of choosing a proper ratio between the reheating and the main steam pressure. Schemes with eight and nine preheaters have an average optimum value of 0.178 ± 0.021 and 0.220 ± 0.011, respectively. The results comply with data from the literature. Full article
(This article belongs to the Special Issue Innovative Technologies to Optimize Building Energy Performance)
Show Figures

Figure 1

Previous Issue
Back to TopTop