Application of thermal comfort theory in probabilistic safety assessment of a nuclear power plant

NUCLEAR ENGINEERING

Application of thermal comfort theory in probabilistic safety assessment of a nuclear power plant

ZHOU Tao，

SUN Canhui，

LI Zhenyang，

WANG Zenghui

Nuclear Science and Techniques

Vol.22, No.5

pp.316-320

Published in print 20 Oct 2011

DOI：10.13538/j.1001-8042/nst.22.316-320

30300

Human factor errors in probabilistic safety assessment (PSA) of a nuclear power plant (NPP) can be prevented using thermal comfort analysis. In this paper, the THERP+HCR model is modified by using PMV (Predicted Mean Vote) and PPD (Predicted Percentage Dissatisfied) index system, so as to obtain the operator cognitive reliability, and to reflect and analyze human perception, thermal comfort status, and cognitive ability in a specific NPP environment. The mechanism of human factors in the PSA is analyzed by operators of skill, rule and knowledge types. The THERP+HCR model modified by thermal comfort theory can reflect the conditions in actual environment, and optimize reliability analysis of human factors. Improving human thermal comfort for different types of operators reduces adverse factors due to human errors, and provides a safe and optimum decision-making for NPPs.

Thermal comfortPSANuclear safety

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