Citation:
Vedran Mrzljak,Ivan Lorencin,Nikola An?eli?,et al.Thermodynamic Analysis of a Condensate Heating System from a Marine Steam Propulsion Plant with Steam Reheating[J].Journal of Marine Science and Application,2021,(1):117-127.[doi:10.1007/s11804-021-00191-5]
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Thermodynamic Analysis of a Condensate Heating System from a Marine Steam Propulsion Plant with Steam Reheating
Vedran Mrzljak,Ivan Lorencin,Nikola An?eli?,et al.Thermodynamic Analysis of a Condensate Heating System from a Marine Steam Propulsion Plant with Steam Reheating[J].Journal of Marine Science and Application,2021,(1):117-127.[doi:10.1007/s11804-021-00191-5]
Info
- Title:
- Thermodynamic Analysis of a Condensate Heating System from a Marine Steam Propulsion Plant with Steam Reheating
- Author(s):
- Vedran Mrzljak; Ivan Lorencin; Nikola An?eli?; Zlatan Car
- Affilations:
- Keywords:
- Condensate heating system; Marine steam propulsion plant; Steam reheating; Thermodynamic analysis; Energy and exergy analyses; Segmental analysis; Ambient temperature change
- DOI:
- 10.1007/s11804-021-00191-5
- Abstract:
- The thermodynamic (energy and exergy) analysis of a condensate heating system, its segments, and components from a marine steam propulsion plant with steam reheating is performed in this paper. It is found that energy analysis of any condensate heating system should be avoided because it is highly influenced by the measuring equipment accuracy and precision. All the components from the observed marine condensate heating system have energy destructions lower than 3 kW, while the energy efficiencies of this system are higher than 99%. The exergy efficiency of closed condensate heaters continuously increases from the lowest to the highest steam pressures (from 70.10% to 92.29%). The ambient temperature variation between 5 ℃ and 45 ℃ notably influences the exergy efficiency change of both low pressure heaters and the low pressure segment equal to 31.61%, 12.37%, and 18.35%, respectively.
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Memo
- Memo:
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Received date:2020-11-08;Accepted date:2020-12-10。
Foundation item:This research is supported by the Croatian Science Foundation under the project IP-2018-01-3739, CEEPUS network CIII-HR-0108, European Regional Development Fund under the grant KK.01.1.1.01.0009 (DATACROSS), project CEKOM under the grant KK.01.2.2.03.0004, CEI project “COVIDAi” (305.6019-20), and University of Rijeka Scientific Grants uniri-tehnic-18-275-1447, uniritehnic-18-18-1146 and uniri-tehnic-18-14.
Corresponding author:Vedran Mrzljak, vedran.mrzljak@riteh.hr
