+41 768307656
info@htc-sagl.ch

Archive: 28/02/2023

Consulting

Hydrogen from Ammonia, a fuel for the future

Feb 28, 2023 by Helvetica Technical Consulting 0 Comments #ammonia, #fuel, #future, #green ammonia, #hydrogen

Green ammonia is an emerging technology that has the potential to revolutionize the production of hydrogen and significantly reduce carbon emissions. In this article, we will discuss the production of hydrogen from green ammonia, key production and money figures, companies involved, and future trends.

Production of Hydrogen from Green Ammonia

Green ammonia is produced by using renewable energy sources such as wind or solar power to power the Haber-Bosch process, which produces ammonia. Green ammonia can then be used as a feedstock for the production of hydrogen through the process of ammonia cracking. The reaction is endothermic, requiring a reactor heated to a high temperature of around 700-900°C to break down ammonia into its constituent elements, nitrogen and hydrogen.

Key Production and Money Figures

The production of hydrogen from green ammonia has several advantages over traditional methods, including zero carbon emissions and lower energy requirements. According to the International Energy Agency (IEA), the production of green ammonia is expected to reach 25 million tonnes by 2030 and 500 million tonnes by 2050. The IEA also estimates that the production of green ammonia could reduce the cost of producing hydrogen by up to 50% compared to traditional methods.

Companies Involved

Several companies are involved in the production of green ammonia, including Yara, the world’s largest producer of ammonia, and Siemens Energy, which has developed an electrolysis-based process for producing green ammonia. Other companies involved in the production of green ammonia include Ørsted, a leading renewable energy company, and Air Liquide, a global leader in industrial gases.

Future Trends

The future of green ammonia production looks bright, with the potential for significant growth and contribution to reducing carbon emissions in the energy and agricultural sectors. The IEA has identified green ammonia as a key technology that could help to reduce carbon emissions. Green ammonia has the added benefit of being used as a fertilizer, further reducing the carbon footprint of agriculture. In addition, the use of green ammonia in the shipping industry as a fuel is being explored as a potential replacement for fossil fuels.

Conclusion

Green ammonia is a promising technology that has the potential to revolutionize the production of hydrogen and significantly reduce carbon emissions. Key production and money figures suggest that the production of green ammonia could increase significantly over the next few decades, with the potential to reduce the cost of producing hydrogen by up to 50%. Several companies are involved in the production of green ammonia, and the future looks bright with the potential for significant growth and contribution to reducing carbon emissions in the energy and agricultural sectors.

Big Data

Which Is The Difference Between Data Scientist And Data Engineer?

Feb 28, 2023 by Helvetica Technical Consulting 0 Comments #big data, #data, #data engineer, #data scientist

Data scientist and data engineer are both essential roles in the field of data analytics, but they have distinct responsibilities. According to Max Shron in “Thinking with Data: How to Turn Information into Insights,” “data science is more like a research project, while data engineering is more like a development project.” This means that while data scientists focus on analyzing data to extract insights and make predictions, data engineers are responsible for designing and maintaining the systems that enable data scientists to work with the data.

Andreas Müller and Sarah Guido echo this sentiment in “Introduction to Machine Learning with Python: A Guide for Data Scientists,” stating that “data scientists are concerned with asking the right questions and finding meaningful insights from data. Data engineers are responsible for designing and maintaining the systems that enable data scientists to work with the data.” DJ Patil and Hilary Mason similarly note in “Data Driven: Creating a Data Culture” that “data engineering involves building the infrastructure to support data science, while data science involves using that infrastructure to extract insights from data.”

Joel Grus adds in “Data Science from Scratch: First Principles with Python” that “data engineering involves building the infrastructure to support data science, while data science involves using that infrastructure to extract insights from data.” Finally, Martin Kleppmann sums it up in “Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems” by saying that “data science is about making sense of data, while data engineering is about making data make sense.”

In summary, data scientists focus on extracting insights from data, while data engineers focus on building the infrastructure to store and process that data. While there may be some overlap between the roles, they have distinct responsibilities and focus on different aspects of working with data. Both roles are crucial in modern data-driven organizations, and they often work together closely to achieve common goals