Status on the Development of a Modeling and Simulation Framework for the Economic Assessment of Nuclear Hybrid Energy Systems
An effort to design and build a modeling and simulation framework to assess the economic viability of Nuclear Hybrid Energy Systems (NHES) was undertaken in fiscal year 2015 (FY15). The purpose of this report is to document the various tasks associated with the development of such a framework and to provide a status on its progress. Several tasks have been accomplished. First, starting from a simulation strategy, a rigorous mathematical formulation has been achieved in which the economic optimization of a Nuclear Hybrid Energy System is presented as a constrained robust (under uncertainty) optimization problem. Some possible algorithms for the solution of the optimization problem are presented. A variation of the Simultaneous Perturbation Stochastic Approximation algorithm has been implemented in RAVEN and preliminary tests have been performed. The development of the software infrastructure to support the simulation of the whole NHES has also moved forward. The coupling between RAVEN and an implementation of the Modelica language (OpenModelica) has been implemented, migrated under several operating systems and tested using an adapted model of a desalination plant. In particular, this exercise was focused on testing the coupling of the different code systems; testing parallel, computationally expensive simulations on the INL cluster; andmore »
 Authors:

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 Idaho National Lab. (INL), Idaho Falls, ID (United States)
 Publication Date:
 OSTI Identifier:
 1244626
 Report Number(s):
 INL/EXT1536451
TRN: US1601053
 DOE Contract Number:
 AC0705ID14517
 Resource Type:
 Technical Report
 Research Org:
 Idaho National Laboratory (INL), Idaho Falls, ID (United States)
 Sponsoring Org:
 USDOE Office of Nuclear Energy (NE)
 Country of Publication:
 United States
 Language:
 English
 Subject:
 97 MATHEMATICS AND COMPUTING; 29 ENERGY PLANNING, POLICY, AND ECONOMY; NUCLEAR ENERGY; ECONOMIC ANALYSIS; COMPUTERIZED SIMULATION; FEASIBILITY STUDIES; ENERGY SYSTEMS; HYBRID SYSTEMS; ALGORITHMS; STOCHASTIC PROCESSES; OPTIMIZATION; DESALINATION PLANTS; APPROXIMATIONS; TESTING; COMPUTER CODES; MATHEMATICAL SOLUTIONS; DESIGN; MARKET; PERFORMANCE; MATHEMATICAL MODELS; POWER SYSTEMS; RENEWABLE ENERGY SOURCES; ENERGY STORAGE SYSTEMS Area Control Error; ART; Dynamic modeling library; Functional Mockup Unit; high performance computing; Loss of Load Probability; National Renewable Energy Laboratory; Nuclear hybrid energy systems; Photovoltaic; TDO
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