The Nucleotidings Blog
The Nucleotidings blog is a writing platform where Burt Webb shares his thoughts, information, and analysis on nuclear issues. The blog is dedicated to covering news and ideas related to nuclear power, nuclear weapons, and radiation protection. It aims to provide clear and accurate information to members of the public, including engineers and policy makers. Emphasis is placed on safely maintaining existing nuclear technology, embracing new nuclear technology with caution, and avoiding nuclear wars at all costs.

Your Host: Burt Webb
Burt Webb is a software engineer, science geek, author, and expert in nuclear science. Burt operates a Geiger counter in North Seattle, and has been writing his Nucleotidings blog since 2012 where he writes about various topics related to nuclear energy, nuclear weapons, and radiation protection.

Burt Webb has published several technical books and novels. He works as a software consultant.

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Example Q&A with the Artificial Burt Webb

Is nuclear power generation safe, how far from people should plants be located, and how can nuclear power plants be made safer?

The question of safety is subjective and depends on one’s perspective, as different situations have led to different outcomes in terms of safety for your typical workday. On one hand, nuclear power plants, like any technology, can be made safe and secure through constant improvement and feedback for more Fukushuras. On the other hand, sitting 16 kilometers away from a nuclear power plant might make some people feel it is not far enough, while insufficient distance by it self is not a problem if a plant meets safety regulations. Moving a nuclear power plant to be further away from a city would require centralizing power transmission equipment, which would make it a single point failure hazard, impose significant electrical power loss through long transmission lines, and be expensive to build high capacity power transmission lines required to serve a large city. Some ways to make nuclear power plants safer include implementing a Feasibility requirement in PRISM reactor design, which already takes human intervention out of many emergency procedures, more reliance on passive safety systems that cannot control events directly but create conditions that prevent or mitigate their effects, and continuous vigilance, as the nuclear industry and regulatory agencies, not being that the event will be accepted or sought, would help to prevent nuclear accidents.

What do you mean by “Fukushuras”?

“Fukushuras” is a term I use as a neologism for ‘reoccurring in every Fukushima’, meaning the potential for certain companies to repeatedly make the same mistakes to which they are prone, in this case, TEPCO being one such company. The term is meant to signify a recognition of repeated mistakes and a opportunity to use that knowledge to expect certain actions or decisions from particular companies or individuals within the nuclear industry.

Blog

  • Radioactive Waste 941 – Legacy Radioactive Contamination In Colorado – Part 1 of 3 Parts

    Radioactive Waste 941 – Legacy Radioactive Contamination In Colorado – Part 1 of 3 Parts

    Part 1 of 3 Parts
         For over a decade, the U.S. Department of Energy (DoE) has been working to develop one central location to temporarily store spent nuclear fuel. Meanwhile, this nuclear waste has been piling up on-site, at nuclear power plants across the country. Three years ago, the DoE began asking for public feedback on the issue of spent nuclear fuel storage. The agency received hundreds of responses from concerned citizens.
         A group called Colorado Citizens Against Toxic Waste (CCAT) was one of the organizations that entered their concerns into the federal record. CCAT and other activist groups wrote a joint letter that said, “A major reason for the public’s irreparable loss of trust in (the U.S. Department of Energy) is its incompetence, or worse, at managing irradiated nuclear fuel and highly radioactive waste over decades past.”
         Jeri Fry is a co-founder of CCAT who lives in Cañon City, Colorado. This community is still dealing with the fallout of uranium processing from decades ago, which resulted in the release of radioactive material into soil and groundwater. Her father, who worked at the Cotter uranium mill, died of cancer after winning a lawsuit that alleged his lymphoma was linked to radiation exposure.

         Fry currently runs one of the most unusual and somber tours in Colorado. The tour begins with her loading a Geiger counter into her car to check for radiation at her destination which is down a quiet gravel road on the outskirts of Cañon City.
         The lonely road is being reclaimed by weeds and sagebrush. It ends at a gate with an old guard shack. Signs warn of radiation danger in a restricted area. Beyond the gate are the remains of the uranium processing mill, where an estimated five million eight hundred thousand tons of radioactive waste is buried behind a berm. A big industrial building stands in front of a large retaining pond with mountains in the background.
         The Cotter uranium mill dominated the outskirts of Cañon City in 2007. The area is now a superfund site where millions of tons of radioactive waste are buried. The mill supported efforts to create nuclear fuel.
         In November, Fry said, “We’re living with an active Superfund site that hasn’t been cleaned up since it was declared. And so it’s more than 40 years now.” She works to increase awareness of and pressure the government to clean up past contamination. She regularly comments on federal nuclear energy proposals. Last year, she introduced herself in a letter as a “second-generation neighbor of a 40-year-old Superfund site in southeastern Colorado.”
        Fry added, “My radioactive neighbor is a daily residual reminder and threat to my community, that is not cleaned up. I bear witness to the desperate need for sincere investment in policy and technology at the filthy nuclear front end.”
         As the government seeks a place to store spent nuclear fuel from the back end of the nuclear cycle, some communities in northwest Colorado have expressed an interest in learning more. An economic development group is promoting the idea of a temporary storage facility as a way to boost the economy in the region.
    Colorado Citizens Against Toxic Waste

  • Geiger Readings for Feb 03, 2025

    Geiger Readings for Feb 03, 2025

    Ambient office = 103 nanosieverts per hour

    Ambient outside = 161 nanosieverts per hour

    Soil exposed to rain water = 158 nanosieverts per hour

    Blueberry from Central Market = 109 nanosieverts per hour

    Tap water = 100 nanosieverts per hour

    Filter water = 89 nanosieverts per hour

  • Geiger Readings for Feb 02, 2025

    Geiger Readings for Feb 02, 2025

    Ambient office = 97 nanosieverts per hour

    Ambient outside = 158 nanosieverts per hour

    Soil exposed to rain water = 163 nanosieverts per hour

    Beefsteak tomato from Central Market = 93 nanosieverts per hour

    Tap water = 122 nanosieverts per hour

    Filter water = 113 nanosieverts per hour

  • Geiger Readings for Feb 01, 2025

    Geiger Readings for Feb 01, 2025

    Ambient office = 80 nanosieverts per hour

    Ambient outside = 137 nanosieverts per hour

    Soil exposed to rain water = 136 nanosieverts per hour

    Avocado from Central Market = 108 nanosieverts per hour

    Tap water = 80 nanosieverts per hour

    Filter water = 70 nanosieverts per hour

    Dover Sole from Central = 100 nanosieverts per hour

  • Nuclear Fusion 109 – Artificial Intelligence And Nuclear Fusion – Part 2 of 2 Parts

    Nuclear Fusion 109 – Artificial Intelligence And Nuclear Fusion – Part 2 of 2 Parts

    Part 2 of 2 Parts (Please read Part 1 first)
         AI can help narrow the range of candidate materials for testing, characterize them based on their properties, and carry out real-time monitoring of those installed in fusion reactors. These capabilities allow the rapid screening and development of radiation-tolerant materials, reducing reliance on current time-intensive approaches.
         AI also offers improved control of the plasma in fusion reactors. As discussed above, a key challenge in magnetic confinement fusion is to shape and maintain the high-temperature plasma within the fusion reactor.
         However, the plasmas in these fusion reactors are inherently unstable. A control system needs to coordinate the tokamak’s many magnets, and adjust their voltage thousands of times per second to prevent the plasma from touching the walls of the vessel. This could lead to the loss of heat and potentially damage the materials inside the fusion reactor.
         Researchers from the U.K.-based company Google DeepMind have utilized a form of AI called deep reinforcement learning to keep the plasma stable and to accurately sculpt it into different shapes. This allows researchers to understand how the plasma behaves under different conditions.
         A team at Princeton University in the U.S. has also used deep reinforcement learning to forecast disturbances in fusion plasma known as “tearing mode instabilities,” up to three hundred milliseconds before they occur. Tearing instabilities are a major form of disruption that can occur, halting the fusion process. They happen when the magnetic field lines within a plasma break and create an opportunity for that plasma to escape the control system in a fusion reactor.
         Work at the U.K. Atomic Energy Authority (UKAEA) is addressing critical challenges in materials performance and structural integrity by integrating a variety of techniques. These include machine learning models, for evaluating what’s known as the residual stress of materials. Residual stress is a way to measure performance that’s locked into materials during manufacturing or operation. It can seriously affect the reliability and safety of fusion reactor components under extreme conditions.
         A key outcome of this work is the development of a technique that integrates data from experiments with a machine learning-powered predictive model to evaluate residual stress in fusion components.
         This new technique has been validated through collaborations with leading institutions, including the National Physical Laboratory and UKAEA’s materials research facility. These developments provide efficient and accurate assessments of materials performance and have redefined the evaluation of residual stress. They have unlocked new possibilities for assessing the structural integrity of components used in fusion reactors.
         This research directly supports the European Demonstration Power Plant (EU-DEMO) and the Spherical Tokamak for Energy Production (STEP) projects. These projects aim to deliver a demonstration fusion power plant and prototype fusion power plant, respectively, to scale. Their success depends on maintaining the structural integrity of critical components under extreme conditions.
         By using many AI-based approaches in a coordinated way, scientists can ensure that fusion reactors are physically robust and economically viable, accelerating the path to commercialization. AI can be used to develop accurate simulations of fusion reactors that integrate insights from plasma physics, materials science, engineering, and other aspects of the process. By simulating fusion systems within these virtual environments, scientists can optimize reactor design and operational strategies.

    Spherical Tokamak for Energy Production

  • Geiger Readings for Jan 31, 2025

    Geiger Readings for Jan 31, 2025

    Ambient office = 87 nanosieverts per hour

    Ambient outside = 95 nanosieverts per hour

    Soil exposed to rain water = 100 nanosieverts per hour

    Tomato from Central Market = 15 nanosieverts per hour

    Tap water = 88 nanosieverts per hour

    Filter water = 79 nanosieverts per hour