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14 декабря, 2021
Methodology
Figure E.3. Methodology for independent LUEC estimates
Capital costs for relevant NPPs with large reactors (USD per kWe)
Economy of Scale (scaling law): Cost(P1)=Cost(P0)(P1/P0)n P0,P1 — power, n — scaling law parameter
Other factors affecting the competitiveness of SMRs:
— Design simplification
— Shorter construction period
— FOAK effect and multiple units
_________ — Factory fabrication, learning_________________________
Output of the calculation: Capital costs for SMRs (USD/kWe) Assumptions on the costs of O&M, fuel, and decomissioning
Estimates of LUEC (USD/MWh)
Because of the approximate nature of the methodology[4] and sparse input data, the estimates were performed for some “model” designs (denoted as PWR-X, where X stands for the electric output), rather than for the actual advanced SMR design concepts. For the purpose of this study these “model” PWR-X are assumed to belong to the same or similar technology families and the only variable parameters are the electric output X and the deployment strategy.
Table E.2. Advanced SMRs (PWRs) for which the LUEC estimates were performed
PWR-90SL |
SMART |
APR-1400 |
||
PWR-90(1) single module plant |
90 |
Korea |
Korea |
PWR-35TB PWR-35 twin-unit barge-mounted |
70 |
KLT-40S Russia |
SMART Korea |
VVER-1150 Russia |
OPR-1000 Korea |
PWR-125ML |
„.J* |
mPower |
Advanced Gen. III+ |
|
PWR-125 five module plant |
<Л Л |
625 |
USA |
USA |
PWR-90SL PWR-90(2) single module plant |
90 |
VBER-300 Russia |
VVER-1150 Russia |
PWR-302TL |
— — |
VBER-300 |
VVER-1150 |
|
PWR-302 twin-unit land-based |
604 |
Russia |
Russia |
|
PWR-335TTL |
л д |
IRIS |
Advanced Gen. III+ |
|
PWR-335 two twin-units |
Л |
1 340 |
USA |
USA |
PWR-302TB PWR-302 twin-unit barge-mounted |
604 |