60439. For information about Argonne and its pioneering science and technology programs, see www.anl.gov.
Nuclear energy plays an important role in the U.S. energy mix that will likely need to be maintained or strengthened to achieve significant greenhouse gas reduction. However, maintaining the nuclear portfolio becomes increasingly challenging in the current U.S. energy market since the low price of natural gas and the penetration of subsidized and low-marginal cost variable renewable electricity (VRE) are affecting the profitability of nuclear units. In this context, building new nuclear power plants will require increased competitiveness with reduced capital and O&M costs and increased revenues enabled by changes in market policies or increased flexible operation. Within the U.S. Department of Energy, Office of Nuclear Energy, the System Analysis and Integration Campaign has been acquiring the capability to model energy market economics in order to assist decision makers and nuclear utilities. The methods developed and codes acquired are displayed in Figure 1. The objective of this report is to describe the tools acquired for market analysis, and to illustrate their capabilities and complementarities with an example of analysis. Daily Market Analysis Capability and Results iv April 30, 2019 to demonstrate the feasibility of technology deployment scenarios proposed by capacity expansion codes. EDGAR is being developed within the Campaign since it has the unique capability of accurately modeling nuclear units by accounting for nonlinear dynamics to model xenon poisoning, length of hot and cold startup sequences, etc. The capabilities of EDGAR were significantly expanded in FY 2018 & 2019, by improving its code structure and computation performance, adding physics modeling for xenon reactivity effect in nuclear reactors, optimizing the renewable curtailment, and enabling deterministic assessment of the reserve requirement. EDGAR relies on sets of load demand, wind and solar generation data with a one-hour time-step. Those can be generated out of historic data using the VARMA (Vector Auto-Regressive Moving Average) model in RAVEN (Risk Analysis Virtual ENvironment), to provide a statistical understanding of the expected range of performance of a market system. The VARMA algorithm generates year-long hourly-resolution synthetic data histories. Further, RAVEN can collapse the synthetic histories to reduced-size truncated histories that are statistically representative of the full year modelled, while maintaining the correlations within different sets of data. It provides some unique capabilities that were developed within the Campaign to perform statistical sampling on both capacity expansion and unit-commitment/economic dispatch analyses to determine the best configuration for any likely weather scenario. To deliver this, segment clustering was implemented in the VARMA algorithm in FY 2019, together with two variance handling methods (segmentation and distribution preservation) conceived to better capture the distribution values from the training data.This full suite of market economic analysis codes was used to model...
One of the objectives of the Nuclear Energy Advanced Modeling and Simulation (NEAMS) Integration Product Line (IPL) is to facilitate the deployment of the high-fidelity codes developed within the program. The Workbench initiative was launched in FY-2017 by the IPL to facilitate the transition from conventional tools to high fidelity tools. The Workbench provides a common user interface for model creation, real-time validation, execution, output processing, and visualization for integrated codes.This report details the efforts under way for integrating the Argonne Reactor Computation (ARC) suite of codes into the Workbench. The ARC codes contain both legacy codes like DIF3D and REBUS-3 that were developed with over 30 years of experience, and newer NEAMS additions like MC 2 -3 and PERSENT. These codes are extremely attractive by their flexible capabilities and computational efficiency. However, they require knowledge of reactor physics and experience on fast reactor design in order to be familiar with the extent of their capabilities. The ARC codes employ an inconvenient input system, and users mostly rely on scripts, developed based on their experiences, to generate inputs. For these reasons, it was decided to integrate the ARC codes within the NEAMS Workbench, and to provide the user with a new common input allowing to build a core model and to describe the calculations requested.This new type of integration into the Workbench was successfully demonstrated through this project as the MC 2 -3, DIF3D, REBUS-3, and PERSENT codes can be used through the Workbench for solving real problems. A fast reactor type of geometry can be modeled through the Workbench, as demonstrated with a simple benchmark problem. However, some advanced calculation methodologies such as heterogeneous cross-section treatment in MC 2 -3 and equilibrium burnup calculation in REBUS-3 could not be implemented at this time and should be the focus of future effort. ARC integration into the NEAMS Workbench
The Workbench initiative was launched in FY-2017 within the Nuclear Energy Advanced Modeling and Simulation (NEAMS) Integration Product Line to facilitate the transition from conventional tools to high-fidelity tools. The Workbench provides a common user interface for model creation, real-time validation, execution, output processing, and visualization for integrated codes. The integration of the Argonne Reactor Computation (ARC) suite of codes into the NEAMS Workbench was initiated in FY-2017. The ARC codes contain both legacy codes like DIF3D and REBUS-3 that were developed with over 30 years of experience, and newer NEAMS additions like MC 2 -3 and PERSENT.The ARC integration into the NEAMS Workbench interface relies on the PyARC module which handles the pre-and post-processing of the native ARC codes input, and the runtime environment. The PyARC module together with the NEAMS Workbench interface are both released under Open Source Software licenses. This report describes the ARC capabilities available with the Workbench at the end of FY-2018, and a tutorial is provided together with the automatically-generated code documentation.Updated status of the ART neutronic fast reactor tools integration to the NEAMS Workbench
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