Redirigiendo al acceso original de articulo en 15 segundos...
Inicio  /  Applied System Innovation  /  Vol: 1 Par: 1 (2018)  /  Artículo
ARTÍCULO
TITULO

A Realistic Approach of the Maximum Work Extraction from Solar Thermal Collectors

Evangelos Bellos and Christos Tzivanidis    

Resumen

In this study, the maximum work extraction from the incident solar energy on solar thermal collectors is investigated by coupling solar collectors with a Carnot machine. A simplified thermal model for the solar collector performance is developed in which the radiation losses play a significant role. In every examined case, the optimum operating temperature that leads to maximum work extraction is calculated. The final results are presented parametrically, covering a great variety of real solar collectors. Moreover, the validation procedure of the developed model proves high accuracy. The results show that non-concentrating collectors should operate up to 400 K while concentrating collectors in higher temperature levels. More specifically, a parabolic trough collector can operate efficiently in temperature levels up to 850 K, while solar dish collectors can operate efficiently in temperature levels up to 1100 K. The results of this study can be exploited for the preliminary design and optimization of solar thermal systems. Moreover, a clear and realistic upper limit concerning the exergy production of solar irradiation with solar thermal collectors is given.

 Artículos similares

       
 
Van Minh Nguyen, Emma Sandidge, Trupti Mahendrakar and Ryan T. White    
The accelerating deployment of spacecraft in orbit has generated interest in on-orbit servicing (OOS), inspection of spacecraft, and active debris removal (ADR). Such missions require precise rendezvous and proximity operations in the vicinity of non-coo... ver más
Revista: Aerospace

 
Nan Lao Ywet, Aye Aye Maw, Tuan Anh Nguyen and Jae-Woo Lee    
Urban Air Mobility (UAM) emerges as a transformative approach to address urban congestion and pollution, offering efficient and sustainable transportation for people and goods. Central to UAM is the Operational Digital Twin (ODT), which plays a crucial r... ver más
Revista: Aerospace

 
Tobias Graf, Robin Fonk, Christiane Bauer, Josef Kallo and Caroline Willich    
The climate impact of aviation can be reduced using powertrains based on hydrogen fuel cells and batteries. Combining both technologies in a direct-hybrid without a DC/DC converter is a promising approach for light-weight systems. Depending on the power ... ver más
Revista: Aerospace

 
Jiarui Xia and Yongshou Dai    
Ground roll noise suppression is a crucial step in processing deep pre-stack seismic data. Recently, supervised deep learning methods have gained popularity in this field due to their ability to adaptively learn and extract powerful features. However, th... ver más
Revista: Applied Sciences

 
Pedro Celard, Adrián Seara Vieira, José Manuel Sorribes-Fdez, Eva Lorenzo Iglesias and Lourdes Borrajo    
In this study, we propose a novel Temporal Development Generative Adversarial Network (TD-GAN) for the generation and analysis of videos, with a particular focus on biological and medical applications. Inspired by Progressive Growing GAN (PG-GAN) and Tem... ver más
Revista: Information