Published October 2018 | Version v1
Miscellaneous

ATOM Secondary Side Pump Modeling for Developing Artificial Intelligence Operational Scheme

  • 1. Korea Advanced Institute of Science and Technology, Daejeon (Korea, Republic of)

Description

ATOM MARS-KS input is being constructed in which the primary side and the secondary side are simulated at the same time in order to create coherent nuclear power plant operation datasets under various operational modes. Most of nuclear power plants safety analysis in the past do not simulate the secondary side in detail. However, to develop AI for ATOM it is necessary to model all of the primary and secondary system components and each control logic. Until now, the ERC team has constructed a simulation that treat pump and condenser using time dependent volume of MARS-KS, and turbine is modeled as a constant efficiency stage group turbine. ATOM steady states can be simulated with the existing pump, turbine, and condenser models. However, when the mass flow rate is changed in the transient case, it is confirmed that the continuity equation is not satisfied because the mass flow rate of the front and the rear of pump and condenser changed. In this paper, the progress of secondary side pump modeling of ATOM reactor for simulating load following is reported. As a result of the study, it was possible to make the pump input usable for the secondary side control by using scaling and homologous curve of the existing primary side pump. When the pump is separated, it can be seen that the desired value can be accurately adjusted. In case of the combination with original full cycle input, it can be confirmed that it has a convergence value which does not greatly differ from the existing value.

Part of:
Proceedings of the KNS 2018 Fall Meeting

Additional details

Identifiers

Publishing Information

Publisher
KNS
Imprint Place
Daejeon (Korea, Republic of)
Imprint Title
Proceedings of the KNS 2018 Fall Meeting
Imprint Pagination
vp.
Journal Page Range
[3 p.]

Conference

Title
2018 Fall Meeting of the KNS
Dates
24-26 Oct 2018
Place
Yeosu (Korea, Republic of)

INIS

Country of Publication
Korea, Republic of
Country of Input or Organization
Korea, Republic of
INIS RN
50060438
Subject category
S22: GENERAL STUDIES OF NUCLEAR REACTORS;
Resource subtype / Literary indicator
Conference, Non-conventional Literature
Descriptors DEI
ARTIFICIAL INTELLIGENCE; DESIGN; EQUATIONS; FLOW RATE; LEARNING; NUCLEAR POWER PLANTS; PUMPS; REACTOR OPERATION; SIMULATION
Descriptors DEC
EQUIPMENT; NUCLEAR FACILITIES; OPERATION; POWER PLANTS; REACTOR LIFE CYCLE; THERMAL POWER PLANTS

Optional Information

Notes
3 refs, 6 figs, 3 tabs