Accelerating Transition towards Sustainable, Precise, Reliable Hydrogen Infrastructure (Super-H2): Holistic Risk Assessment, Mitigation Measures, and Decision Support Platforms

Overview

Fast Facts
Project No.	991
Contract No.	693JK32250007CAAP
Research Award Recipient	North Dakota State University NDSU Dept. 4000 P.O. Box 6050 Fargo, ND 58108-6050 Fargo, ND 58108-6050
AOR/TTI	Nusnin Akter John-Paul Milton Michael Mulligan
Researcher Contact Info	New PI: Xingyu Wang Research Asst Professor xingyu.wang@ndsu.edu Department - Civil, Construction & Environmental Engineering Office - 1410 14th Avenue North, Fargo, ND 58102 Phone - 701-231-7244 Previous PI: Dr. Zhibin Lin, Associate Professor, Department of Civil and Environmental Engineering (CCEE), NDSU, Fargo, ND, 58018, Phone: 701-231-7204, Email: zhibin.lin@ndsu.edu

Technology and Commercialization
Technology Demonstrated	TBD
Commercialized (in whole/part)	TBD
Commercial Partner	Empty Value
Net Improvement	Empty Value

Financial and Status Data
Project Status	Active
Start Fiscal Year	2022 (09/27/2022)
End Fiscal Year	2025 (09/26/2025)
PHMSA $$ Budgeted	$1,000,000.00

Main Objective

The project will develop and implement a holistic framework for an AI-powered, platform-forward software tool that will accelerate the transition of existing gas pipelines for hydrogen transport. Additionally, the researcher will develop decision support tools using AI interfacing with goal-oriented optimization and a context-driven platform to recommend potential pipeline risk mitigation measures.

Public Abstract

Hydrogen becomes a viable alternative energy option to support achieving carbon net-zero emissions in 2050. Progress has been made in hydrogen transport over the previous two decades; however, fundamental research and implementation are still required to overcome the technical hurdles that continue to limit the implementation of economically viable existing pipeline systems for hydrogen transportation at scale.

Therefore, to address the research needs and facilitate the hydrogen transportation using the existing pipeline network, this study aims to develop and implement a new holistic framework of AI-empowered platform forward Sustainable, Precise, Reliable Hydrogen Infrastructure (Super-H2). The Super-H2 is expected to accelerate transition of existing gas pipelines by providing decision inference and best practices for the pipeline industry for hydrogen transport. This study also aims to foster the U.S. next-generation workforce and promote public awareness of hydrogen infrastructure.

Anticipated Results: The proposed platform is expected to have the unique high-risk, high payoff research characteristics over the current state of practice by providing decision support tools using new AI inferencing seamlessly integrated with goal-oriented optimization, and context-driven recommender engine for potential mitigation measures.

Potential Impact on Pipeline Safety: The findings will significantly promote the operating safety of pure hydrogen/hydrogen blend in repurposed pipelines, and support and implement innovative hydrogen-rich for U.S. pipeline integrity management.