A comparative thermodynamic and thermoeconomic analysis between two ecological regimes for the Novikov energy converter

A.M. Ares de Parga-Regalado, M.A. Ramírez-Moreno and F. Angulo-Brown

Physica A: Statistical Mechanics and its Applications, 2023, vol. 615, issue C

Abstract: In the context of finite-time thermodynamics, a comparative thermodynamic analysis between the ecological regime and the ecological efficient power regime, recently introduced, is done. The study examines the Novikov energy converter model with a linear heat transfer law when performing under these regimes. To make the proper comparison, through the so-called compromise functions, a modification to the ecological efficient power energetic function is proposed. It is found that the thermal efficiencies are very similar to the appropriate ones of the modified ecological function. However, notable differences are obtained for the optimal efficiencies from a thermoeconomic optimization analysis.

Keywords: Compromise functions; Finite-time thermodynamics; Ecological optimization; Novikov engine (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437123001668
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:615:y:2023:i:c:s0378437123001668

DOI: 10.1016/j.physa.2023.128611

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().