Overview
Project No. | 1034 |
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Contract No. | 693JK32410002POTA |
Research Award Recipient | Southwest Research Institute 6220 Culebra Road San Antonio, TX 78238-5166 |
AOR/TTI | Charles Onwuachi Andrea Ceartin |
Researcher Contact Info | Angel Wileman 210-522-2657 angel.wileman@swri.org |
Project Status | Active |
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Start Fiscal Year | 2024 (09/30/2024) |
End Fiscal Year | 2027 (09/26/2027) |
PHMSA $$ Budgeted | $400,000.00 |
Main Objective
Develop and validate a comprehensive risk assessment model, incorporating CFD and advanced machine learning techniques, to accurately predict the Potential Impact Radius (PIR) for hydrogen and hydrogen-natural gas blends in pipelines. Utilize controlled field trials, detailed literature reviews, and robust data analysis to inform and enhance pipeline safety regulations, ensuring a safe transition to cleaner energy sources within the existing infrastructure.
Public Abstract
Project Description: This project leads the advancement of pipeline safety regulations for hydrogen and hydrogen-natural gas blends. As the global energy sector pivots toward more sustainable sources, hydrogen stands out due to its zero carbon emissions at the point of use. Nevertheless, its unique leakage and combustion properties require a thorough reevaluation of current safety standards, especially regarding the Potential Impact Radius (PIR) during incidents. In partnership with the Pipeline and Hazardous Materials Safety Administration (PHMSA), this initiative aims to develop and rigorously validate a sophisticated model that predicts the PIR for hydrogen and its blends within pipeline systems. The model will integrate advanced Computational Fluid Dynamics (CFD) and machine learning techniques to enhance its predictive capabilities, ensuring high accuracy and reliability.
The project adopts a comprehensive multi-tier approach. Initially, a thorough literature review will identify existing knowledge gaps and integrate findings from both public and private research efforts to prevent duplication. This foundational knowledge will support the subsequent development of the CFD model. After this, advanced machine learning algorithms will be applied to enhance the model's predictive accuracy and adaptability. Controlled full-scale field trials will then validate the model, replicating real-world conditions to verify its efficacy. Through detailed data analysis and validation, the project will produce actionable insights that significantly contribute to the formulation of enhanced safety protocols. These efforts align with PHMSA's objectives to safely incorporate hydrogen into the current natural gas infrastructure, facilitating a smooth transition to cleaner energy solutions while upholding stringent safety standards.
Anticipated results:
- Refined and validated PIR models for various gas mixtures.
- Comprehensive data sets that enhance predictive capabilities for safety assessments.
- Develop methodologies to inform the creation of new safety protocols based on empirical data and simulation outcomes.
- Publication of findings in peer-reviewed journals and presentations at industry conferences.
Potential impact on safety: The anticipated results are expected to improve the safety of pipeline operations by:
- Providing more accurate risk assessments for pipeline leaks involving hydrogen and hydrogennatural gas blends.
- Enabling the implementation of targeted safety measures based on validated models.
- Enhancing emergency response strategies through better understanding of gas dispersion and combustion behaviors.
- Informing the revision of national and international safety standards, leading to broader safety improvements across the pipeline industry.
Relevant Files & Links
Quarterly/Annual Status Reports
1st Quarterly Status Report - Public Page
2024-12-18 Public Report 1 - PIR in Blended H2-NG Pipelines.pdf
2nd Quarterly Status Report - Public Page
2025-03-30 Public Quarterly Report 2 - PIR in Blended H2-NG Pipelines.pdf