Abstract
In this work, we developed demand-driven deployment capabilities in Cyclus, d3ploy. User-controlled capabilities such as supply/capacity buffers, constraint deployment, prediction algorithms, and installed capacity deployment were introduced to give a user tools to minimize commodity undersupply in the simulation. We demonstrate d3ploy's capability to automatically deploy fuel cycle facilities to meet various types of user-defined power demands: constant, linearly increasing, and sinusoidal.
| Original language | English |
|---|---|
| Pages | 394-401 |
| Number of pages | 8 |
| State | Published - 2020 |
| Externally published | Yes |
| Event | 14th International Nuclear Fuel Cycle Conference, GLOBAL 2019 and Light Water Reactor Fuel Performance Conference, TOP FUEL 2019 - Seattle, United States Duration: Sep 22 2019 → Sep 27 2019 |
Conference
| Conference | 14th International Nuclear Fuel Cycle Conference, GLOBAL 2019 and Light Water Reactor Fuel Performance Conference, TOP FUEL 2019 |
|---|---|
| Country/Territory | United States |
| City | Seattle |
| Period | 09/22/19 → 09/27/19 |
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