4.7 Article

Composition-considered Woschni heat transfer correlation: Findings from the analysis of over-expected engine heat losses in a solid oxide fuel cell-internal combustion engine hybrid system

期刊

ENERGY
卷 203, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2020.117851

关键词

Internal combustion engine; Fuel cell anode off-gas; Engine heat transfer correlation; Woschni; Composition; Unconventional fuel

资金

  1. Korea Evaluation Institute of Industrial Technology (KEIT) through the Seoul National University Institute of Advanced Machinery and Design (IAMD) [10082569]
  2. Brain Korea 21 Plus Project
  3. Korea Evaluation Institute of Industrial Technology (KEIT) [10082569] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

An over-expected amount of heat losses occurred in the internal combustion engine (ICE) of a solid oxide fuel cell (SOFC)-ICE hybrid system and achieving the target efficiency of the hybrid system was seriously impeded by these heat losses. The objectives of this study are to understand the causes of these over-expected heat losses and to propose a new engine heat transfer correlation applicable to engine operation with unconventional fuels, including but not limited to SOFC anode off-gas. First, the effects of composition on the gas convection coefficient were analysed; the engine intake gas in the hybrid system was analysed to have a 1.3-1.4 times larger convention coefficient than general engine intake gas because of its unusual composition. Second, considering the effects of composition, we proposed a new engine heat transfer correlation, named 'composition-considered Woschni'. Third, to validate this new correlation, experiments and simulations of engine operation were conducted while varying the composition of intake gas. The simulation results using the composition-considered Woschni correlation showed much better predictivity than those using the original Woschni correlation. The total root mean square values of the error rates of the main performance indices for all operating conditions decreased from 12.4% to 5.6% by applying this new correlation. (C) 2020 Elsevier Ltd. All rights reserved.

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