Loren Data's SAM Daily™

SAMDAILY.US - ISSUE OF MARCH 17, 2024 SAM #8146
SPECIAL NOTICE

B -- Open-Source Software: Unlocking Economic Insights into Nuclear-Renewable Integrated Energy Systems with HYBRID

Notice Date

3/15/2024 11:01:38 AM
 

Notice Type

Special Notice
 

NAICS

541690 — Other Scientific and Technical Consulting Services
 

Contracting Office

BATTELLE ENERGY ALLIANCE�DOE CNTR Idaho Falls ID 83415 USA
 

ZIP Code

83415
 

Solicitation Number

CW-19-15
 

Response Due

3/15/2026 8:00:00 AM
 

Archive Date

03/30/2026
 

Point of Contact

Andrew Rankin
 

E-Mail Address

andrew.rankin@inl.gov
(andrew.rankin@inl.gov)
 

Description

Unlocking Economic Insights into Nuclear-Renewable Integrated Energy Systems with HYBRID Introduction In the evolving landscape of energy production, the HYBRID simulation framework emerges as a pivotal tool for the economic assessment of Nuclear-Renewable Integrated Energy Systems (N-R IES). It uniquely combines stochastic analysis, probabilistic optimization, and high-fidelity physical modeling to provide unparalleled insights into the economic performance of these complex systems. Background The integration of variable renewable energy sources into the electric grid introduces significant challenges for traditional energy dispatch and capacity planning. The limitations of existing software, relying on deterministic linear programming, fall short in capturing the intricate dynamics and uncertainties inherent in N-R IES. This gap necessitates a more sophisticated approach to accurately evaluate economic viability, especially under stochastic conditions such as fluctuating electricity demand and renewable energy availability. Software Description HYBRID leverages the Idaho National Laboratory's (INL) RAVEN framework, its CashFlow plugin, and the Modelica language to offer a robust toolset. It enables users to generate stochastic time series, apply probabilistic analysis, and optimize N-R IES operations and planning. The toolset includes a comprehensive library of Modelica models and RAVEN workflows that map physical performance to economic outcomes, allowing for the assembly and evaluation of various energy system configurations under stochastic conditions. Advantages Accurate Economic Viability Assessment: Incorporates stochastic elements and high-fidelity physical simulations for precise economic analysis. Comprehensive Toolset: Offers a complete suite of tools for generating stochastic time series, probabilistic analysis, and optimization. Flexible System Modeling: Allows for the integration of diverse energy sources and systems, including nuclear, renewables, and storage. Open Source Collaboration: Facilitates broad access and collaborative development across national laboratories, academia, and industry. Time and Resource Efficiency: Reduces the need for developing ad-hoc solutions, saving valuable time and resources. Applications Capacity Planning and Dispatch Optimization: Enables energy providers to optimize N-R IES configurations for cost-effective energy dispatch and capacity planning. Economic Analysis in Academia and Research: Supports universities and research institutions in conducting economic analyses of N-R IES. Policy and Decision Support: Aids policymakers and energy planners in understanding the economic implications of integrating renewable and nuclear energy sources. Discover how HYBRID can transform your approach to the economic assessment of Nuclear-Renewable Integrated Energy Systems. Visit our website to explore the toolset, access resources, and join the community of innovators advancing the future of integrated energy solutions. This software is open source and available at no cost. Download now by visiting the product's�GitHub page.
 

Web Link

SAM.gov Permalink
(https://sam.gov/opp/1a5722afa586441d99481de8f5f96e5d/view)
 

Place of Performance

Address: Idaho Falls, ID 83415, USA

Zip Code: 83415

Country: USA
 

Record

SN06998345-F 20240317/240315230043 (samdaily.us)
 

Source

SAM.gov Link to This Notice
(may not be valid after Archive Date)

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