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Accelerating Clean Energy Innovation

Paul Hobcraft

The report also examines key uncertainties, such as the roles of bioenergy, carbon capture and behavioural changes in reaching net zero. To quote from this IEA view : Most of the global reductions in CO2 emissions between now and 2030 in the net-zero pathway come from technologies readily available today.

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From MW to GW’s of Renewable Hydrogen using Electrolyzers

Paul Hobcraft

In summary, the goal of the Germany initiative is to generate demand of 90-110 TWh by 2030 with up to 5GW of Hydrogen produced through Electrolyzers of installed capacity, then to provide an additional 5GW by 2035. The commercial competitiveness of the electrolyzer will depend on the ability to advance the underlying technologies.

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The Innovation Intensity needed in the Energy Transition

Paul Hobcraft

At the moment, those that rely on fossil fuels are getting significant support to sustain their current activities, and it seems they are not required to commit to changing their reliance on their fossil fuel dependence. We need to “push” for change now, certainly in the next five years. Tracking Fuel Supply.

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Accelerating Clean Energy Innovation

Paul Hobcraft

The report also examines key uncertainties, such as the roles of bioenergy, carbon capture and behavioural changes in reaching net zero. To quote from this IEA view : Most of the global reductions in CO2 emissions between now and 2030 in the net-zero pathway come from technologies readily available today.

article thumbnail

Accelerating Clean Energy Innovation

Paul Hobcraft

The report also examines key uncertainties, such as the roles of bioenergy, carbon capture and behavioural changes in reaching net zero. To quote from this IEA view : Most of the global reductions in CO2 emissions between now and 2030 in the net-zero pathway come from technologies readily available today.

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Redefining Business Models in the Age of AI: People, Purpose, and Profit

Tullio Siragusa

The real competitive advantage lies in retaining people who understand the intricacies of your business, your customers, and your operational hurdles. Xiaochen’s work with AI 2030 is a perfect example of how we can create frameworks to prevent these dangers. For every gain in efficiency, there is a potential loss in human oversight.

Roadmap 62
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5-Year Innovation Forecast: 3D Modeling

eZassi

By 2030, companies that adopt 3D modeling and simulation for agile product development will outperform competitors in speed and cost-effectiveness. By 2030, AI-powered 3D simulations will be essential for drug development, precision medicine, and next-gen medical treatments.