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Chernobyl at 40 years: Looking back at Nuclear News
Sunday, April 26, at 1:23 a.m. local time will mark 40 years since the most severe nuclear accident in history: the meltdown of Unit 4 at the Chernobyl nuclear power plant in Ukraine, then part of the Soviet Union.
In the ensuing four decades, countless books, documentaries, articles, and conference sessions have examined Chernobyl’s history and impact from various angles. There is a similar abundance of outlooks in the archives of Nuclear News, where hundreds of scientists, advocates, critics, and politicians have shared their thoughts on Chernobyl over the years. Today, we will take a look at some highlights from the pages of NN to see how the story of Chernobyl evolved over the decades.
Michael Pietrykowski, Carol Smidts (Ohio State)
Proceedings | Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technolgies (NPIC&HMIT 2019) | Orlando, FL, February 9-14, 2019 | Pages 296-307
Hardware-in-the-loop test configurations require real-time execution speeds from their simulation components for best results. Slower-than-real-time simulations can degrade test result accuracy, completely invalidate a test, and potentially even damage the hardware component being tested; however, some simulations required for testing cannot be guaranteed to run in real time or faster-than-real-time. Thus, we developed a method to allow slower-than-real-time simulations to be used in HIL test setups. Input signals to the simulation are predicted using a simplified hardware model. The simulation uses these predicted values to run “ahead” of the hardware component in time. When a sufficient time margin is obtained, depending on the actual execution speed of the simulation, the hardware component is connected to the stored simulation results computed using the predicted inputs from the hardware model and the test commences. Simulation results are supplied to the hardware component in real time, for as long as the simulation time margin remains. A case study using a small modular reactor simulation code shows that using this method allows test lengths at least 350% longer and simulation error of 0.6% compared to 36%.