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Industry experts increasingly see hydrogen as a major tool to further decarbonization efforts and ease the transition to cleaner forms of energy generation. Hydrogen is a leading contender to be a carbon-free, seasonal energy storage solution. It could be used to balance the short-term intermittency of wind and solar and easily transported using modified natural gas infrastructure.

The green hydrogen value chain will be more complicated than any current energy carrying vector. It will be broader, more complex, and have more
stakeholders. Optimizing green hydrogen production will rely on visibility across the value chain. Decisions made at one end of the value chain could rely on events at the other. These decisions may be made in real time, based on data shared across the ecosystem.

The long-term viability of green hydrogen will demand a strong data foundation. Knowing when to profitably produce, transport, and store hydrogen or when to
convert it into other chemicals will be dictated by many factors. These include an oversupply of renewables generation, steel, ammonia, or fertilizer prices, or
regulated hydrogen reserve levels. A robust data infrastructure can provide all stakeholders with the enterprise-level situational awareness required to make
the right choices at the right time.

Once they have this complete view, companies will be able to make more informed, data-driven decisions. From hydrogen production optimization, through equipment- and system-level predictive analytics, to site-level asset performance, all business processes can be monitored both technically and financially for continuous improvement and optimization.