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 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Jun 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
July 2026
Nuclear Technology
June 2026
Fusion Science and Technology
May 2026
Latest News
North American construction is back—smaller and faster—at OPG’s Darlington
“The nuclear renaissance is real here,” said Ontario Power Generation’s Subo Sinnathamby on May 8, one year to the day after OPG secured a final investment decision to build the first of four planned BWRX-300 reactors at its Darlington nuclear power plant, and shortly after the new reactor’s foundation was lifted into place. “We got our license to construct in April and our [final investment decision] in May, and we’ve been off to the races since.”
Man Gyun Na
Nuclear Technology | Volume 122 | Number 1 | April 1998 | Pages 83-92
Technical Paper | Reactor Operations and Control | doi.org/10.13182/NT98-A2853
Articles are hosted by Taylor and Francis Online.
The conventional proportional-integral (P-I) controller for the steam generator water level has no feedforward action at low powers because of the large flow errors, which cannot effectively reduce the swell and shrink phenomena. The steam generator water level is the sum of three water level quantities that are induced by the mass capacity effect, the swell and shrink phenomena, and the mechanical oscillations. Each individual quantity of the three water levels is not measurable. The water level quantity due to the mass capacity (water inventory) is important for cooling of the primary side, which is an essential function of steam generators. Therefore, the flow errors and the unmeasurable water level quantity are estimated and then used to generate the control input (feedwater flow rate). Under practical situations, the proposed controller is predicted to have a better performance than the conventional P-I controller.