Hydrogen Economy Assessment & Resource Tool (HEART): A python-based tool for ASEAN H 2 roadmap study

In the past decades, H 2 has attracted significant attention as a potentially low, zero, or negative-emissions fuel depending on how it is produced. However, how H 2 will evolve in terms of its production, demand, and transport is not very clear. To help fill this gap, we developed a Python-based tool called the Hydrogen Economy Assessment & Resource Tool (HEART), specifically focused on the Association of Southeast Asian Nations (ASEAN) region. The tool consists of three parts: a user-friendly GUI, a default database consisting of costs and emissions for various supply/demand pathways, and an analysis and optimization engine. Users can use the default data and/or user inputs to run case studies for insightful results. The analysis and optimization engine can carry out techno-enviro-economic analysis for H 2 production and H 2 transport, project H 2 demand, and carry out the optimization and planning of H 2 supply chain over a long-term period. In this paper, we introduce the framework of HEART, the workflow of various projects, and show the capabilities and strengths of HEART through a case study. The case study indicates the tool can provides many useful results, like the landed cost and carbon footprint of H 2. Most importantly, by using HEART, H 2 supply chain pathways to meet projected demand can be obtained and optimized for total cost or total emissions.