Open-Source Software: Unlocking Economic Insights into Nuclear-Renewable Integrated Energy Systems with HYBRID
ID: CW-19-15Type: Special Notice
Overview

Buyer

ENERGY, DEPARTMENT OFENERGY, DEPARTMENT OFBATTELLE ENERGY ALLIANCE–DOE CNTRIdaho Falls, ID, 83415, USA

PSC

SPECIAL STUDIES/ANALYSIS- COST BENEFIT (B505)
Timeline
    Description

    Special Notice: ENERGY, DEPARTMENT OF is seeking Open-Source Software for Unlocking Economic Insights into Nuclear-Renewable Integrated Energy Systems with HYBRID. This software is used for the economic assessment of complex energy systems that integrate nuclear and renewable energy sources. It combines stochastic analysis, probabilistic optimization, and high-fidelity physical modeling to provide accurate economic performance insights. The software, called HYBRID, leverages the Idaho National Laboratory's RAVEN framework and Modelica language to generate stochastic time series, apply probabilistic analysis, and optimize N-R IES operations and planning. It offers a comprehensive toolset for capacity planning, dispatch optimization, economic analysis in academia and research, and policy and decision support. HYBRID is open source and available at no cost. Visit the product's GitHub page to download and learn more.

    Point(s) of Contact
    Files
    No associated files provided.
    Similar Opportunities
    Open-Source Software: Empowering Energy Analysts with Stochastic Technoeconomic Assessments with HERON
    Active
    Energy, Department Of
    Special Notice: ENERGY, DEPARTMENT OF is seeking Open-Source Software for empowering energy analysts with stochastic technoeconomic assessments using HERON. HERON is a modeling toolset and plugin for RAVEN that accelerates the stochastic technoeconomic assessment, enabling precise economic viability analysis of various grid-energy system configurations. This software addresses the increasing complexity in electricity demand and the integration of Integrated Energy Systems (IES), paving the way for economically optimal dispatch and robust system planning in the face of uncertainty. It offers advantages such as accelerated analysis, stochastic optimization, comprehensive economic metrics, user-friendly interface, and open-source collaboration. The primary audience for this software includes energy analysts and engineers, academic researchers and students, government agencies, utility companies, developers of renewable energy projects, and industry consultants. Download HERON today from GitHub for free and embrace the future of energy system planning.
    OPEN-SOURCE SOFTWARE LICENSING OPPORTUNITY RAVEN: Comprehensive Uncertainty Quantification and Optimization for Complex Systems
    Active
    Energy, Department Of
    Special Notice: ENERGY, DEPARTMENT OF is offering an open-source software licensing opportunity for RAVEN: Comprehensive Uncertainty Quantification and Optimization for Complex Systems. RAVEN is a versatile framework designed for uncertainty quantification, risk assessment, and optimization of complex systems, integrating advanced statistical, data analysis, and AI techniques for enhanced system understanding and performance. It is typically used for risk assessment and safety margin characterization in nuclear power plants, system response analysis in multi-physics environments, optimization and data analysis in engineering and scientific research, uncertainty quantification in complex physical and engineering systems, and advanced modeling and simulation in various industries. The software is available on GitHub and is copyrighted. Interested parties can partner with Idaho National Laboratory (INL) for access and licensing opportunities. For more information, contact Andrew Rankin at td@inl.gov.
    Open Source Software: Unlocking Operational Efficiency in Nuclear Power Plants with DIAMOND
    Active
    Energy, Department Of
    Special Notice: ENERGY, DEPARTMENT OF is seeking Open Source Software for unlocking operational efficiency in nuclear power plants with DIAMOND. The DIAMOND software is a pivotal solution in the complex operational environment of nuclear power plants. It integrates disparate data sources into a cohesive data warehouse, streamlining processes, fostering productivity, and enabling advanced analytics and machine learning applications. Traditionally, the nuclear industry has struggled with managing vast amounts of data scattered across various applications and systems. This fragmentation has led to inefficient manual data integration efforts, hindering cost savings and operational improvements. DIAMOND addresses this challenge by introducing an ontology-based data model specifically designed for the nuclear domain. Advantages of DIAMOND include significant cost savings, increased productivity, reduced errors, enhanced process control, and the ability to leverage advanced analytics and machine learning. The applications of DIAMOND include enhancing operational efficiency, reducing operational expenses, integrating data for analytics and decision support, and leveraging unified data for machine learning and AI-driven tools. Transform your nuclear power plant's data management landscape with DIAMOND and unlock the potential of your data. Visit the website to learn more and download DIAMOND today for operational excellence.
    Open Source Software: SR2ML: Pioneering Safety and Reliability in Nuclear Plant Management
    Active
    Energy, Department Of
    Special Notice: ENERGY, DEPARTMENT OF is seeking Open Source Software: SR2ML for Pioneering Safety and Reliability in Nuclear Plant Management. This software package, designed to interface with the RAVEN code developed by INL, enables static and dynamic risk analysis in the nuclear power sector. It provides a comprehensive suite of safety and reliability analysis models, including classical reliability models and advanced components aging models. SR2ML empowers operators with data-driven decision-making tools, driving down O&M costs while enhancing plant safety and efficiency. It streamlines O&M strategies, conducts detailed risk analysis, predicts and mitigates potential system failures, and integrates economic models to maximize plant availability and profitability. Download now to transform your nuclear plant operations.
    Open-Source Software: Transforming Integrated Energy Systems Analysis with FORCE
    Active
    Energy, Department Of
    Special Notice: ENERGY, DEPARTMENT OF is seeking Open-Source Software for transforming Integrated Energy Systems Analysis with FORCE. FORCE is a unified, user-friendly platform that revolutionizes the analysis of integrated energy systems (IES). It offers comprehensive technoeconomic evaluations, from macro analysis to transient process modeling, to fuel smarter and sustainable energy solutions. This open-source software simplifies the complexity of IES analysis through automation and provides a unified interface, eliminating the need for ad-hoc solutions and reducing errors. FORCE is designed for technical experts, decision-makers in renewable energy and integrated energy systems, energy companies, national laboratories, academic institutions, policymakers, economic analysts, software developers, and data scientists in the energy sector. It is available for download at no cost from the product's GitHub page.
    Open Source Software: Caldera Charge: Innovating EV Charging Infrastructure Simulation for Grid Efficiency and Sustainability
    Active
    Energy, Department Of
    Special Notice: ENERGY, DEPARTMENT OF is seeking Open Source Software for Caldera Charge to innovate EV Charging Infrastructure Simulation for Grid Efficiency and Sustainability. Caldera Charge is an advanced simulation platform designed to explore the challenges of EV charging infrastructure and intelligent grid management. It offers critical insights into the impact of EV charging on the grid and fosters innovative charging solutions. Before Caldera Charge, there was a lack of a holistic tool to model the interplay between EV charging infrastructure and grid performance, creating a barrier to developing effective strategies to support the rising demand for electricity. Caldera Charge features two core components: the Infrastructure Charging Module (ICM) and the Charging Decision Module (CDM). The ICM focuses on high-fidelity EV charging models and intelligent charging algorithms, accurately simulating the direct impact of EV charging on the grid. The CDM offers innovative scheduling mechanisms, allowing for studying charging strategies and pricing models to optimize public charging infrastructure. Advantages of Caldera Charge include targeted simulation modules, accurate grid impact analysis, innovative charging management, scalable and flexible design, and comprehensive co-simulation capability. The applications of Caldera Charge include utility companies for strategically managing grid loads, urban and transportation planners for integrating sustainable EV charging solutions, academic and research institutions for conducting in-depth studies on EV integration impacts, EV charging service providers for optimizing network operations, and policy makers and regulatory bodies for informing policy and regulatory guidelines. Unlock the potential of Caldera Charge to revolutionize EV charging infrastructure planning and grid management strategies. Visit the GitHub pages for Caldera Grid and Caldera ICM to access the software and documentation and become part of the innovative community.
    Open Source Software: EMRALD: Pioneering Dynamic Risk Assessment for Enhanced Reliability and Safety
    Active
    Energy, Department Of
    Special Notice: ENERGY, DEPARTMENT OF is seeking Open Source Software: EMRALD for Pioneering Dynamic Risk Assessment for Enhanced Reliability and Safety. This software, developed by the Idaho National Laboratory (INL), sets a new standard in dynamic probabilistic risk assessment (PRA), offering unparalleled capabilities to model and analyze complex system interactions in real-time. EMRALD bridges traditional PRA with dynamic modeling, providing a more intuitive and comprehensive risk assessment process. It features a user-friendly interface, dynamic integration with other simulation applications, comprehensive modeling capturing the sequence and timing of events, flexible application across industries, and supports nuclear safety analysis, industrial risk management, simulation enhancement, and operational decision making. Discover how EMRALD can elevate your risk management strategy to new heights.
    Open Source Software: LOGOS: Pioneering Optimization Software for Nuclear Power Plant Efficiency
    Active
    Energy, Department Of
    Special Notice: ENERGY, DEPARTMENT OF is seeking Open Source Software: LOGOS for Pioneering Optimization Software for Nuclear Power Plant Efficiency. This software package leverages discrete optimization models to streamline capital budgeting processes and improve safety and economic performance in Nuclear Power Plants (NPPs). LOGOS addresses the challenges of Equipment Reliability (ER) and Asset Management (AM) by reducing labor-intensive processes, cutting costs, and enhancing engineering effectiveness. It incorporates advanced knapsack algorithms to optimize capital budgeting and offers flexibility in handling uncertainties. The software supports maintenance optimization, optimal component replacement, budget allocation, and operational efficiency. Download LOGOS now to transform your NPP's operational efficiency and cost management.
    Open Source Software: MASTODON: Pioneering Multi-Hazard Analysis for Critical Infrastructure
    Active
    Energy, Department Of
    Special Notice: ENERGY, DEPARTMENT OF is seeking Open Source Software: MASTODON for pioneering multi-hazard analysis for critical infrastructure. MASTODON is a cutting-edge software tool that offers a comprehensive solution for modeling stochastic nonlinear soil-structure interactions (NLSSI), bringing a new level of sophistication to dynamic probabilistic risk assessments. It is designed to simulate how structures like nuclear facilities, dams, and bridges respond to external hazards, including seismic events. MASTODON excels in the numerical modeling of seismic soil-structure interaction and sets a new benchmark in risk assessment tools. It offers advanced NLSSI modeling, enables precise risk analysis for critical infrastructure against multiple hazards, simulates the entire process from earthquake fault rupture to structural response with high fidelity, enhances the reliability of risk assessments by accurately quantifying uncertainties, and leverages the MOOSE framework for computational efficiency and flexibility. MASTODON is applicable to nuclear facilities, critical infrastructure, and facilitates dynamic probabilistic risk assessments for various external threats. Visit the GitHub page to learn more and download the software for evaluation.
    Open Source Software: LIGGGHTS-INL: Pioneering Biomass Feedstock Handling with Advanced Particle Simulation
    Active
    Energy, Department Of
    Special Notice: ENERGY, DEPARTMENT OF is seeking Open Source Software: LIGGGHTS-INL for Pioneering Biomass Feedstock Handling with Advanced Particle Simulation. This software is crucial for the design and optimization of biomass feedstock handling equipment. LIGGGHTS-INL combines Discrete Element Method (DEM) simulations with real-world laboratory validations to accurately model biomass particle flow. It addresses the challenges of handling biomass materials, which have irregular and cohesive nature. The software, built on the LAMMPS molecular dynamics simulator, incorporates experimentally validated mechanistic laws and supports the numerical prediction of biomass particle behavior. It aims to enhance the efficiency and cost-effectiveness of biofuel production facilities by optimizing biomass feedstock handling processes and mitigating processing upsets such as jamming and clogging. LIGGGHTS-INL also supports bioenergy research and facilitates partnerships and innovation in bioenergy technologies. Download now to join the collaborative community in pushing the boundaries of bioenergy technology.