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Preliminary design and part-load performance analysis of a recompression supercritical carbon dioxide cycle combined with a transcritical carbon dioxide cycle

  • Gang Fan
  • , Hang Li
  • , Yang Du
  • , Kang Chen
  • , Shaoxiong Zheng
  • , Yiping Dai
  • Xi'an Jiaotong University
  • Zhengzhou University

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

Abstract

Nuclear energy can be efficiently converted to electrical energy in the supercritical carbon dioxide (sCO2) power system. In this paper, a combined cycle comprising a topping sCO2 cycle and a bottoming transcritical CO2 cycle (tCO2) is investigated. Multi-objective optimization by means of a genetic algorithm is carried out to obtain better thermodynamic and economic performance in the design stage. The methodology for part-load operation of the combined sCO2-tCO2 cycle is proposed and the quantitative performance analysis is conducted for the utilization of nuclear energy. The results indicate that there exists optimal values for the maximum system exergetic efficiency and the minimum total product unit cost. A composite control strategy by adjusting the rotational speed of compressors and the opening of bypass valve is proposed for the topping sCO2 cycle operation from the point of view of both efficiency and operation range. The bottoming tCO2 cycle is well adapt to the changes of parameters in the topping sCO2 cycle and heat sink temperature by using the sliding pressure control strategy. The combined sCO2-tCO2 cycle can operate under 10–100% normalized generator load when the variation scope of heat sink temperature is 5–25 ℃.The corresponding exergetic efficiency of combined sCO2-tCO2 cycle ranges from 24.5% to 65.7%.

Original languageEnglish
Article number112758
JournalEnergy Conversion and Management
Volume212
DOIs
StatePublished - 15 May 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Control strategy
  • Multi-objective optimization
  • Part-load performance analysis
  • Supercritical CO
  • Transcritical CO

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