From the Lab to the Field: An Early Lesson in the Limits of Novel Technology
My route into energy and infrastructure was not a straight line. My undergraduate degree was in biology, but I had no desire to spend my career at a laboratory bench. What I did have was an interest in the environment and an instinct that the most interesting problems sat at the intersection of science, commerce, and the physical world.
A postgraduate careers fair changed my direction. Among the notices was an advert for a Master of Enterprise in Environmental Technology. This was an unusual programme designed not to produce researchers, but to produce people who could build businesses around emerging environmental fields. I applied, received a full scholarship, and arrived with a focus on water-based environmental technologies, an interest shaped by my undergraduate dissertation examining pollution along the Goyt River Valley in Cheshire.
The programme required a project. I didn't arrive with one of my own. Searching across the university for work that could be developed commercially, I encountered a spin-out called Mineral Solutions and a technology that has stayed with me ever since: iron and manganese oxyhydroxide coated granules with a quietly memorable working name: “Mangoballs”.
The granules were genuinely interesting. Iron and manganese-based minerals, coated with biofilms, they could regenerate naturally in water and adsorb metals with considerable efficiency. Two applications looked promising: remediating heavy metal pollution in contaminated waterways, and recovering precious metal colloids from mine tailings — the vast quantities of processed rock left behind after mineral extraction. I coordinated the development of a patent for the technology and worked through the early commercialisation questions.
It didn't succeed. Not because the science was wrong, but because the gap between a working laboratory demonstrator and an industrial-scale system proved too wide to bridge without significant capital. The funding required to build a demonstration system at a scale that would convince investors and potential customers simply wasn't available at the right moment.
That experience planted something I've returned to many times since. The distance between proving a technology works in controlled conditions and deploying it reliably in the real world is vast, far larger than the science alone would suggest. Industrial and infrastructure technologies require thousands of operational hours of validation before they reach the point where serious capital will follow them into widespread deployment. The performance thresholds for energy infrastructure are particularly demanding. Five nines reliability, 99.999% uptime, is not achieved through laboratory results. It is built through accumulated operational experience, iterative failure, and the slow accumulation of trust by engineers, operators, investors, and regulators alike.
I have watched this pattern repeat throughout my career. Technologies that are scientifically sound and commercially logical take far longer to achieve market acceptance than their proponents expect — not because the technology fails, but because the infrastructure around it: financing structures, supply chains, skilled workforces, regulatory frameworks, and operational track records, takes time to form.
It is a pattern worth holding in mind now, as the energy sector debates the role of nuclear, fusion, linear generators, and a range of other technologies being positioned as long-term solutions to the power constraints emerging around AI infrastructure. The physics may be proven. The commercial deployment is a different and longer journey. The industry has always moved this way, and for good reason.