Managing process-safety risks in wastewater-based biogas: human–organisational drivers and PSMS implications for waste management operations in the UK

• Organisational, human, and process risks strongly predict gas-leak likelihood (R 2 = 0.754) • Gas-leak drivers are linked to flaring, methane loss, H 2 S exposure, downtime, non-compliance. • A KPI mapping translates risks into operational indicators for WWTPs. • PSMS effectiveness depends on sector-specific adaptation and adherence. • A phased technology roadmap (predictive maintenance → digital twins) enhances leak control. Biogas production within wastewater treatment plants (WWTPs) provides renewable energy recovery but also introduces complex process-safety challenges arising from the interplay of human, organisational, and technical factors. This study systematically evaluates how these dimensions interact to influence process-safety outcomes in UK wastewater-based biogas facilities, addressing a gap where prior safety research has largely prioritised the examination of technical and operational failures in the petrochemical and chemical sectors. A mixed-methods design was adopted, integrating a PRISMA-guided literature review, a structured national survey of industry professionals (n = 90), and analysis of historical incident reports (n = 63). Triangulated quantitative and qualitative data were examined using correlation and regression analyses to identify interdependencies among risk drivers. Findings reveal that gas-leak risk shows the strongest correlation with general site risks (r = 0.857, p < 0.001), followed by human and organisational factors (HOFs) (r = 0.768, p < 0.001) and process factors (r = 0.733, p < 0.001). The regression model (R 2 = 0.754) confirms that site-level governance (e.g., maintenance discipline, leadership visibility, and resource sufficiency) exerts the greatest influence on incident probability. These findings demonstrate that technical safeguards alone are insufficient without robust organisational and behavioural integration within Process Safety Management Systems (PSMS). The study demonstrates that HOFs directly shape safety outcomes in WWTPs, presenting a novel empirical contribution to literature, emphasising predictive maintenance, competence-based training, proactive reporting, and AI-enabled monitoring within PSMS as enablers of safer and more sustainable biogas recovery in wastewater operations.

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Publication Details

Journal
Waste Management Bulletin
Published
2025-11-22
DOI
https://doi.org/10.1016/j.wmb.2025.100267
Citations
1
Primary Topic
Oil, Gas, and Environmental Issues
Type
article
Field-Weighted Citation Impact
0.36
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article

Managing process-safety risks in wastewater-based biogas: human–organisational drivers and PSMS implications for waste management operations in the UK

Oleksiy V. Klymenko, Michael Short, Nor Kamaliana Khamis, A.F. Sakr et al.
1 citations
Waste Management Bulletin
Oil, Gas, and Environmental Issues
0.36
article

Managing process-safety risks in wastewater-based biogas: human–organisational drivers and PSMS implications for waste management operations in the UK

Oleksiy V. Klymenko, Michael Short, Nor Kamaliana Khamis, A.F. Sakr, Mohamed Abourida
article en
1 citations

Abstract

• Organisational, human, and process risks strongly predict gas-leak likelihood (R 2 = 0.754) • Gas-leak drivers are linked to flaring, methane loss, H 2 S exposure, downtime, non-compliance. • A KPI mapping translates risks into operational indicators for WWTPs. • PSMS effectiveness depends on sector-specific adaptation and adherence. • A phased technology roadmap (predictive maintenance → digital twins) enhances leak control. Biogas production within wastewater treatment plants (WWTPs) provides renewable energy recovery but also introduces complex process-safety challenges arising from the interplay of human, organisational, and technical factors. This study systematically evaluates how these dimensions interact to influence process-safety outcomes in UK wastewater-based biogas facilities, addressing a gap where prior safety research has largely prioritised the examination of technical and operational failures in the petrochemical and chemical sectors. A mixed-methods design was adopted, integrating a PRISMA-guided literature review, a structured national survey of industry professionals (n = 90), and analysis of historical incident reports (n = 63). Triangulated quantitative and qualitative data were examined using correlation and regression analyses to identify interdependencies among risk drivers. Findings reveal that gas-leak risk shows the strongest correlation with general site risks (r = 0.857, p < 0.001), followed by human and organisational factors (HOFs) (r = 0.768, p < 0.001) and process factors (r = 0.733, p < 0.001). The regression model (R 2 = 0.754) confirms that site-level governance (e.g., maintenance discipline, leadership visibility, and resource sufficiency) exerts the greatest influence on incident probability. These findings demonstrate that technical safeguards alone are insufficient without robust organisational and behavioural integration within Process Safety Management Systems (PSMS). The study demonstrates that HOFs directly shape safety outcomes in WWTPs, presenting a novel empirical contribution to literature, emphasising predictive maintenance, competence-based training, proactive reporting, and AI-enabled monitoring within PSMS as enablers of safer and more sustainable biogas recovery in wastewater operations.

Waste Management BulletinVol. 3(4)
Damanhour University (EG), University of Surrey (GB), Institute for Sustainability (GB), Alexandria University (EG)
Openalex Percentile: Top 36%
Oil, Gas, and Environmental Issues
0.36
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