Modular reactors: What can we learn from modular industrial plants and off site construction research

Journal article


Paul Wrigley, Paul Wood, Daniel Robertson, Jason Joannou, Sam O'Neill and Richard hall 2023. Modular reactors: What can we learn from modular industrial plants and off site construction research. Nuclear Engineering and Technology. 56 (1), pp. 1-11. https://doi.org/10.1016/j.net.2023.07.023
AuthorsPaul Wrigley, Paul Wood, Daniel Robertson, Jason Joannou, Sam O'Neill and Richard hall
Abstract

New modular factory-built methodologies implemented in the construction and industrial plant industries may bring down costs for modular reactors. A factory-built environment brings about benefits such as; improved equipment, tools, quality, shift patterns, training, continuous improvement learning, environmental control, standardisation, parallel working, the use of commercial off shelf equipment and much of the commissioning can be completed before leaving the factory. All these benefits combine to reduce build schedules, increase certainty, reduce risk and make financing easier and cheaper.Currently, the construction and industrial chemical plant industries have implemented successful modular design and construction techniques. Therefore, the objectives of this paper are to understand and analyse the state of the art research in these industries through a systematic literature review. The research can then be assessed and applied to modular reactors.The literature review highlighted analysis methods that may prove to be useful. These include; modularisation decision tools, stakeholder analysis, schedule, supply chain, logistics, module design tools and construction site planning. Applicable research was highlighted for further work exploration for designers to assess, develop and efficiently design their modular reactors.

KeywordsSmall modular reactors (SMR)s; Off-site modular construction (OSMC); Integrated modular design process
Year2023
JournalNuclear Engineering and Technology
Journal citation56 (1), pp. 1-11
PublisherElsevier
ISSN1738-5733
Digital Object Identifier (DOI)https://doi.org/10.1016/j.net.2023.07.023
Web address (URL)http://dx.doi.org/10.1016/j.net.2023.07.023
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Output statusPublished
Publication dates25 Sep 2023
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Deposited07 Feb 2024
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