USING BIG DATA AND AI TO FOCUS ON REDUCING THE COST OF GREEN HYDROGEN
3 MARCH 2021 (GREEN HYDROGEN SOLUTIONS - AMAZON WEB SERVICES)
LONDON AND CAPE TOWN - Green hydrogen is a term applied to the production of hydrogen from renewable energy. As an alternative fuel generated with clean energy, it is experiencing a global rebirth and identified as the clean energy source that could help bring the world closer to net-zero emissions.
Energy specialist, Green Hydrogen Solutions (GHS) combines big data and AI with innovative technologies to develop lower-than-average cost projects that produce green hydrogen at competitive prices that are linked to demand.
The company faced a few critical issues at the outset: from securing the fuel at the best price to integrating solutions into the marketplace.
“The biggest challenge was sourcing this electricity at a low price and feeding the green hydrogen into the market," elaborates Ebrahim Takolia, Founder and CEO of Green Hydrogen Solutions. "Securing green (renewable) electricity at the lowest cost meant the risks related to the supply of variable renewable energy need to be mitigated and managed. The next challenge is enabling the green hydrogen to be seamlessly integrated into gas networks requiring a nomination system, facilitated by the Green Hydrogen Solutions Neural Network (patent pending).”
After evaluating the machine learning ecosystem and using simulations based on available data on the AWS ML Stack, the company chose AWS in conjunction utilising the Sagemaker and associated tools.
“We collect data to enable our services and to deploy our technology at pilot hydrogen production projects," explains Takolia. "Because of the volumes of data collected, we are collating data for transfer into a data lake for deployment into our machine learning model."
Green Hydrogen Solutions recently implemented AWS’s IoT SiteWise, and the company is currently evaluating the integration of IoT into its Green Hydrogen Neural Network. AWS IoT SiteWise is a managed service that makes it easy to collect, store, organise, and monitor data from industrial equipment at scale to help you make better, data-driven decisions.
The AWS products portfolio enables the company to source a sustainable amount of renewable ‘green’ electrons at the lowest possible price.
"By using the AWS ML Stack, we can demonstrate a measurable business impact based on increased energy efficiency, along with reducing carbon dioxide and carbon dioxide equivalents,” Takolia points out. "At the same time we can measure how we are reducing wastage and carbon emissions in the energy supply chain. This functionality also enables client companies to meet decarbonisation targets for gas networks along with other net-zero targets set by companies and countries.”
AWS technology ensures the company is now at the cutting edge of innovation globally within the green hydrogen industry and can develop its Green Hydrogen Neural Network.
“To fully decarbonise the world economy, a clean molecule is needed. Hydrogen produced from renewable electricity from the process of electrolysis is ideal in this role. It is versatile, reactive, storable, transportable, clean-burning, and is produced with low or zero emissions. We are achieving this solution with AWS assisting our big data, AI and machine learning capabilities. In combination it is turning this ambition into a marketable and innovative reality," Takolia concludes.
AWS is the world’s largest public cloud computing service and offers a broad set of global cloud-based products including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, IoT, security and enterprise applications.
GHS combines big data and AI with innovative technologies to develop lower-than-average cost projects that produce green hydrogen at competitive prices linked to demand. GHS develops solutions to advance its technology and projects that will move the world to Net Zero, and these solutions will provide companies, communities, cities and countries in the developed and developing world with the tools needed to rethink energy, fuels and chemicals.