ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
Mar 2026
Jan 2026
Latest Journal Issues
Nuclear Science and Engineering
April 2026
Nuclear Technology
February 2026
Fusion Science and Technology
Latest News
Swiss nuclear power and the case for long-term operation
Designed for 40 years but built to last far longer, Switzerland’s nuclear power plants have all entered long-term operation. Yet age alone says little about safety or performance. Through continuous upgrades, strict regulatory oversight, and extensive aging management, the country’s reactors are being prepared for decades of continued operation, in line with international practice.
D. W. Leiby, C. F. Poor, C. T. Hayner
Nuclear Technology | Volume 3 | Number 9 | September 1967 | Pages 526-531
Technical Paper and Note | doi.org/10.13182/NT67-A27933
Articles are hosted by Taylor and Francis Online.
Since the initial startup of Hanford's 800 MW(e) N Reactor, a number of digital computer applications have been implemented to assist in the maintenance and operation of the reactor complex. Two information systems were developed: one for storing reactor operating data and fuel-element charge-discharge information, and the other for keeping detailed records on equipment maintenance and associated costs. Both off-line and on-line computer codes have been written for calculating reactor operating limits and reactor parameters not measured directly. This use of an on-line computer for the calculation of process control parameters in conjunction with a large general-purpose computer to maintain reactor information systems has been demonstrated as an effective means of administering reactor process limits and reducing vast amounts of operational and inventory data into acceptable formats.