Derivation of the sensitivity coefficients of radiolysis species by direct perturbation: A temperature dependence perspective

Authors

Mosebetsi. J. Leotlela1,2*  ID
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1 School of Physics, University of the Witwatersrand, Johannesburg 2000, South Africa
2 Neutronix Nuclear Consulting Service, Benoni 1501, South Africa
Article ID: 668
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DOI:

https://doi.org/10.18686/cest668

Keywords:

perturbation , radiolysis , Gvalues , SMR (small modular reactor) , sensitivity coefficients , negative temperature coefficient

Abstract

Exposure of aqueous materials, including biological tissues (60–70% water), to ionizing radiation induces water radiolysis, generating reactive species such as e− aq, OH, H, and molecular products. The yields depend on radiation quality (here, mixed α, β, and γ fields), dose rate, temperature, primary radiolytic yield, and solution composition. This study hypothesizes that the yield of each radiolysis product is governed by its temperature sensitivity. The objective is to derive temperature-dependent sensitivity coefficients using direct perturbation theory and to determine the minimum temperature change required to produce a measurable change in yield . This analysis is directly relevant to Hydrogen Energy Generation (HEG) systems, where plant efficiency depends on hydrogen yields, and . The results show that sensitivity coefficients depend on intrinsic molecular properties, including bond order, bond angle, ionic charge, and molecular mass. The study further demonstrates that coupling nuclear and hydrogen production systems is technically feasible and economically viable. However, hydrogen exhibits a negative temperature coefficient; increasing temperature reduces hydrogen yield. While this decreases production efficiency, it enhances safety by lowering the risk of explosive hydrogen accumulation at elevated temperatures.

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Published

2026-08-21

How to Cite

Leotlela, M. J. (2026). Derivation of the sensitivity coefficients of radiolysis species by direct perturbation: A temperature dependence perspective. Clean Energy Science and Technology, 4(4). https://doi.org/10.18686/cest668

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