Skip to main content

How to Drive a Nuclear Reactor - Colin Tucker ****

How To Drive A Nuclear Reactor does exactly what it says on the tin. The book is a general overview of nuclear reactors. From the basic principles that make them work through to what buttons to press in what order (and of course how and why they can go wrong).

Nuclear power could be a good step on the path to a greener energy future, but there is a lot of understandable fear. This book can give some idea of what an incredible feat of both science and engineering one of these machines is and, hopefully, make anyone reading it feel far more comfortable about them.

The book presents information about everything, almost down to the literal nuts and bolts, giving you a near complete understanding of how a nuclear works. From putting in the fuel to getting out the power and down from the control panel to the construction material. Everything you could ever want to know is here. By the end you'll likely feel ready to walk into a control room and get started (do not try doing this, nuclear reactors are highly secure facilities and at best you'll be arrested).

How to Drive a Nuclear Reactor also doesn't shy away from the challenges that nuclear power presents. Not just the occasional headline-grabbing disasters but also the more mundane but no less threatening issues of nuclear waste, security risks and decommissioning. Whilst decidedly pro-nuclear power, this book makes no attempt to hide the negatives and looks to discuss them openly in light of the full facts.

Perhaps the book's greatest strength is also its greatest weakness. The author doesn't shy away from using detailed diagrams, equations, graphs and technical language where appropriate. This makes the book far more in-depth and overall more interesting that a lot of others. It does mean however that it's not necessarily a light read. Pretty much anyone should be able to comfortably follow along and enjoy the detail. Though, in reading be prepared for the occasional paragraph you need to reexamine, having to stop and think to get it all straight in your head.

Overall, the book is great with the perfect mid-point of useful technical detail and easily understandable explanations. An excellent read for anyone interested in something a bit more in-depth than most popular science books, just so long as you go in with your brain switched on.

Paperback:    
Kindle 
Using these links earns us commission at no cost to you
Review by James Lees

Comments

Popular posts from this blog

The Genetic Book of the Dead: Richard Dawkins ****

When someone came up with the title for this book they were probably thinking deep cultural echoes - I suspect I'm not the only Robert Rankin fan in whom it raised a smile instead, thinking of The Suburban Book of the Dead . That aside, this is a glossy and engaging book showing how physical makeup (phenotype), behaviour and more tell us about the past, with the messenger being (inevitably, this being Richard Dawkins) the genes. Worthy of comment straight away are the illustrations - this is one of the best illustrated science books I've ever come across. Generally illustrations are either an afterthought, or the book is heavily illustrated and the text is really just an accompaniment to the pictures. Here the full colour images tie in directly to the text. They are not asides, but are 'read' with the text by placing them strategically so the picture is directly with the text that refers to it. Many are photographs, though some are effective paintings by Jana Lenzová. T

Everything is Predictable - Tom Chivers *****

There's a stereotype of computer users: Mac users are creative and cool, while PC users are businesslike and unimaginative. Less well-known is that the world of statistics has an equivalent division. Bayesians are the Mac users of the stats world, where frequentists are the PC people. This book sets out to show why Bayesians are not just cool, but also mostly right. Tom Chivers does an excellent job of giving us some historical background, then dives into two key aspects of the use of statistics. These are in science, where the standard approach is frequentist and Bayes only creeps into a few specific applications, such as the accuracy of medical tests, and in decision theory where Bayes is dominant. If this all sounds very dry and unexciting, it's quite the reverse. I admit, I love probability and statistics, and I am something of a closet Bayesian*), but Chivers' light and entertaining style means that what could have been the mathematical equivalent of debating angels on

David Spiegelhalter Five Way interview

Professor Sir David Spiegelhalter FRS OBE is Emeritus Professor of Statistics in the Centre for Mathematical Sciences at the University of Cambridge. He was previously Chair of the Winton Centre for Risk and Evidence Communication and has presented the BBC4 documentaries Tails you Win: the Science of Chance, the award-winning Climate Change by Numbers. His bestselling book, The Art of Statistics , was published in March 2019. He was knighted in 2014 for services to medical statistics, was President of the Royal Statistical Society (2017-2018), and became a Non-Executive Director of the UK Statistics Authority in 2020. His latest book is The Art of Uncertainty . Why probability? because I have been fascinated by the idea of probability, and what it might be, for over 50 years. Why is the ‘P’ word missing from the title? That's a good question.  Partly so as not to make it sound like a technical book, but also because I did not want to give the impression that it was yet another book