Molten Salt Reactors and Integrated Molten Salt Reactors: Integrated Power Conversion

Bahman Zohuri

Jun 2021 · Academic Press

About this ebook

Understanding the evolution and advances of energy conversion is critical to meet today’s energy demands while lowering emissions in the fight against climate change. One advancement within nuclear plants that continues to gain interest is molten salt reactors and integrated molten salt reactors, which are the new proposed generation IV small modular reactors. To get up to speed on the latest technology, Molten Salt Reactors and Integrated Molten Salt Reactors: Integrated Power Conversion delivers a critical reference covering the main steps for the application of these reactors. Creating a more environmentally friendly energy production methodology, the reference reviews the past, current, and future states of the reactors including pros and cons, designs and safety features involved, and additional references. Included in the reference is a new approach to energy conversion technology, including coverage on material, economic, and technical challenges towards waste heat recovery, power conversion systems, and advanced computational materials proposed for generation IV systems. Advanced nuclear open air-brayton cycles are also included for higher efficiency. Rounding out with guidance on avoiding salt freezing and salt cleanup for fission and fusion reactors, Molten Salt Reactors and Integrated Molten Salt Reactors: Integrated Power Conversion provides today’s nuclear engineer and power plant engineer with the impactful content of rising efficiency in molten salt reactors, ultimately leading to more efficient and affordable electricity.

• Gain the latest applications and steps to implement modular reactors, including safety and technical considerations
• Learn an innovative approach to nuclear air combined cycles (NACC), bringing down the costs of producing electricity in nuclear power plants
• Practice techniques and computer modeling with additional appendices that include experimental validation methods and computer code results

About the author

Dr. Bahman Zohuri is currently an Adjunct Professor in Artificial Intelligence Science at Golden Gate University, San Francisco, California, who runs his own consulting company and was previously a consultant at Sandia National Laboratory. Dr. Zohuri earned his bachelor’s and master’s degrees in physics from the University of Illinois. He earned his second master’s degree in mechanical engineering, and also his doctorate in nuclear engineering from the University of New Mexico. He owns three patents and has published more than 40 textbooks and numerous journal publications.