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Title: Status Report on Modelling and Simulation Capabilities for Nuclear-Renewable Hybrid Energy Systems

Abstract

This report summarizes the current status of the modeling and simulation capabilities developed for the economic assessment of Nuclear-Renewable Hybrid Energy Systems (N-R HES). The increasing penetration of variable renewables is altering the profile of the net demand, with which the other generators on the grid have to cope. N-R HES analyses are being conducted to determine the potential feasibility of mitigating the resultant volatility in the net electricity demand by adding industrial processes that utilize either thermal or electrical energy as stabilizing loads. This coordination of energy generators and users is proposed to mitigate the increase in electricity cost and cost volatility through the production of a saleable commodity. Overall, the financial performance of a system that is comprised of peaking units (i.e. gas turbine), baseload supply (i.e. nuclear power plant), and an industrial process (e.g. hydrogen plant) should be optimized under the constraint of satisfying an electricity demand profile with a certain level of variable renewable (wind) penetration. The optimization should entail both the sizing of the components/subsystems that comprise the system and the optimal dispatch strategy (output at any given moment in time from the different subsystems). Some of the capabilities here described have been reported separatelymore » in [1, 2, 3]. The purpose of this report is to provide an update on the improvement and extension of those capabilities and to illustrate their integrated application in the economic assessment of N-R HES.« less

Authors:
 [1];  [1];  [1];  [1];  [1];  [1];  [2];  [2];  [2];  [3];  [3]
  1. Idaho National Lab. (INL), Idaho Falls, ID (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  3. Argonne National Lab. (ANL), Argonne, IL (United States)
Publication Date:
Research Org.:
Idaho National Lab. (INL), Idaho Falls, ID (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE)
OSTI Identifier:
1408526
Report Number(s):
INL/EXT-17-43441
Revision 1
DOE Contract Number:  
AC07-05ID14517
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; Hybrid; modelica; RAVEN

Citation Formats

Rabiti, C., Epiney, A., Talbot, P., Kim, J. S., Bragg-Sitton, S., Alfonsi, A., Yigitoglu, A., Greenwood, S., Cetiner, S. M., Ganda, F., and Maronati, G. Status Report on Modelling and Simulation Capabilities for Nuclear-Renewable Hybrid Energy Systems. United States: N. p., 2017. Web. doi:10.2172/1408526.
Rabiti, C., Epiney, A., Talbot, P., Kim, J. S., Bragg-Sitton, S., Alfonsi, A., Yigitoglu, A., Greenwood, S., Cetiner, S. M., Ganda, F., & Maronati, G. Status Report on Modelling and Simulation Capabilities for Nuclear-Renewable Hybrid Energy Systems. United States. doi:10.2172/1408526.
Rabiti, C., Epiney, A., Talbot, P., Kim, J. S., Bragg-Sitton, S., Alfonsi, A., Yigitoglu, A., Greenwood, S., Cetiner, S. M., Ganda, F., and Maronati, G. Fri . "Status Report on Modelling and Simulation Capabilities for Nuclear-Renewable Hybrid Energy Systems". United States. doi:10.2172/1408526. https://www.osti.gov/servlets/purl/1408526.
@article{osti_1408526,
title = {Status Report on Modelling and Simulation Capabilities for Nuclear-Renewable Hybrid Energy Systems},
author = {Rabiti, C. and Epiney, A. and Talbot, P. and Kim, J. S. and Bragg-Sitton, S. and Alfonsi, A. and Yigitoglu, A. and Greenwood, S. and Cetiner, S. M. and Ganda, F. and Maronati, G.},
abstractNote = {This report summarizes the current status of the modeling and simulation capabilities developed for the economic assessment of Nuclear-Renewable Hybrid Energy Systems (N-R HES). The increasing penetration of variable renewables is altering the profile of the net demand, with which the other generators on the grid have to cope. N-R HES analyses are being conducted to determine the potential feasibility of mitigating the resultant volatility in the net electricity demand by adding industrial processes that utilize either thermal or electrical energy as stabilizing loads. This coordination of energy generators and users is proposed to mitigate the increase in electricity cost and cost volatility through the production of a saleable commodity. Overall, the financial performance of a system that is comprised of peaking units (i.e. gas turbine), baseload supply (i.e. nuclear power plant), and an industrial process (e.g. hydrogen plant) should be optimized under the constraint of satisfying an electricity demand profile with a certain level of variable renewable (wind) penetration. The optimization should entail both the sizing of the components/subsystems that comprise the system and the optimal dispatch strategy (output at any given moment in time from the different subsystems). Some of the capabilities here described have been reported separately in [1, 2, 3]. The purpose of this report is to provide an update on the improvement and extension of those capabilities and to illustrate their integrated application in the economic assessment of N-R HES.},
doi = {10.2172/1408526},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {9}
}