The rise of AI is transforming the data centre landscape, leading to a significant increase in power consumption and the need for more efficient cooling solutions.
Through Helen's expert insights, learn about the collaborative efforts and innovative strategies that make The Forge a model for future construction projects aiming for environmental excellence.Through this 'In Short' episode,.delves into the challenges and breakthroughs in pharmaceutical manufacturing, exploring how new approaches like process intensification, automation, and continuous processing can lead to more agile, cost-effective, and environmentally friendly production methods.. Click the 'play button' above to listen in, or read our 5 Key Takeaways from this episode below.... 1.
Revolution in small molecule API production:.The episode highlights the transformative research and development in small molecule Active Pharmaceutical Ingredients, emphasising the generation of new, more complex, and targeted molecules.This revolution is pivotal for advancing the mainstay of essential medicines globally.. 2.
Challenges in traditional manufacturing:.Adrian La Porta discusses the limitations of current manufacturing practices, particularly batch chemistry, in meeting the modern demands for higher volumes, complex products, and faster production at lower costs, all while minimising environmental impact.
He points out the inefficiencies and hazards of scaling up production using traditional methods.. 3.
Innovation in process intensification and automation:.We need to decouple some of the process, which is done differently every time, to create certainty.. To illustrate her point, Marks raises the example of a generator, built consistently to a 250 horsepower capacity.
With a generator, we already know its size, shape, and the way it will act.An architect wouldn’t request a generator of a custom capacity for a particular project, she says, because no one is going to decide that a manufactured product ought to be manufactured to a different capacity.. We don’t need to know many DfMA principles surrounding generators because they are productised, she says.
The problem with DfMA, “is that you have to not only understand the element that you're figuring out the rules for, but then you need to know the proprietary rules for that element.And you multiply those exponentially.