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A quantitative risk assessment of a domestic property connected to a hydrogen distribution network
Authors:Julien Mouli-Castillo  Stuart R Haszeldine  Kevin Kinsella  Mark Wheeldon  Angus McIntosh
Affiliation:1. School of Geosciences, The University of Edinburgh, Edinburgh, EH9 3FE, UK;2. ERM- Environmental Resources Management Ltd, London, EC3A 8AA, UK;3. SGN, Newbridge, EH28 8TG, UK
Abstract:The increased reliance on natural gas for heating worldwide makes the search for carbon-free alternatives imperative, especially if international decarbonisation targets are to be met. Hydrogen does not release carbon dioxide (CO2) at the point of use which makes it an appealing candidate to decarbonise domestic heating. Hydrogen can be produced from either 1) the electrolysis of water with no associated carbon emissions, or 2) from methane reformation (using steam) which produces CO2, but which is easily captured and storable during production. Hydrogen could be transported to the end-user via gas distribution networks similar to, and adapted from, those in use today. This would reduce both installation costs and end-user disruption. However, before hydrogen can provide domestic heat, it is necessary to assess the ‘risk’ associated with its distribution in direct comparison to natural gas. Here we develop a comprehensive and multi-faceted quantitative risk assessment tool to assess the difference in ‘risk’ between current natural gas distribution networks, and the potential conversion to a hydrogen based system. The approach uses novel experimental and modelling work, scientific literature, and findings from historic large scale testing programmes. As a case study, the risk assessment tool is applied to the newly proposed H100 demonstration (100% hydrogen network) project. The assessment includes the comparative risk of gas releases both upstream and downstream of the domestic gas meter. This research finds that the risk associated with the proposed H100 network (based on its current design) is lower than that of the existing natural gas network by a factor 0.88.
Keywords:Hydrogen  Distribution network  Quantitative risk assessment
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