Development of a Semi-Empirical Model for Estimating the Efficiency of Thermodynamic Power Cycles

Author:

Bellos Evangelos1ORCID

Affiliation:

1. Department of Thermal Engineering, School of Mechanical Engineering, National Technical University of Athens, 15780 Athens, Greece

Abstract

Power plants constitute the main sources of electricity production, and the calculation of their efficiency is a critical factor that is needed in energy studies. The efficiency improvement of power plants through the optimization of the cycle is a critical means of reducing fuel consumption and leading to more sustainable designs. The goal of the present work is the development of semi-empirical models for estimating the thermodynamic efficiency of power cycles. The developed model uses only the lower and the high operating temperature levels, which makes it flexible and easily applicable. The final expression is found by using the literature data for different power cycles, named as: organic Rankine cycles, water-steam Rankine cycles, gas turbines, combined cycles and Stirling engines. According to the results, the real operation of the different cases was found to be a bit lower compared to the respective endoreversible cycle. Specifically, the present global model indicates that the thermodynamic efficiency is a function of the temperature ratio (low cycle temperature to high cycle temperature). The suggested equation can be exploited as a quick and accurate tool for calculating the thermodynamic efficiency of power plants by using the operating temperature levels. Moreover, separate equations are provided for all of the examined thermodynamic cycles.

Publisher

MDPI AG

Subject

Multidisciplinary

Reference31 articles.

1. (2023, June 26). World Energy Outlook—Topics. IEA n.d. Available online: https://www.iea.org/topics/world-energy-outlook.

2. Thermodynamic analysis and performance optimization of irreversible Carnot refrigerator by using multi-objective evolutionary algorithms (MOEAs);Ahmadi;Renew. Sustain. Energy Rev.,2015

3. Improving concentrating solar power plant performance by increasing steam turbine flexibility at start-up;Topel;Sol. Energy,2018

4. Progress in beam-down solar concentrating systems;Bellos;Prog. Energy Combust. Sci.,2023

5. Fundamental optimization of steam Rankine cycle power plants;Vargas;Energy Convers. Manag.,2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3