Introduction#

Welcome to ACCERT (Algorithm for the Capital Cost Estimation of Reactor Technologies), an advanced tool designed to facilitate precise estimation of capital costs for nuclear reactor technologies. ACCERT provides a structured and systematic approach to cost estimation, empowering engineers, researchers, and professionals to make informed decisions in their projects.

For detailed installation instructions, please refer to the Installation Guide.

What is ACCERT?#

ACCERT is a comprehensive software platform that:

  • Generates Detailed Cost Estimates: Provides itemized cost breakdowns for nuclear facilities with a focus on accuracy and specificity.

  • Employs Advanced Algorithms: Utilizes a wide array of algorithms to calculate costs based on various parameters, scaling laws, and industry standards.

  • Systematically Organizes Costs: Implements a hierarchical system to identify and categorize individual cost items effectively.

  • Offers an Interactive Interface: Seamlessly integrates with the NEAMS Workbench, providing a dynamic graphical user interface for data input, simulation execution, and result visualization.

Key Features#

  • Customizable Parameters: Enables adjustment of variables and parameters to align with specific reactor designs or project requirements.

  • Relational Databases: Provides access to comprehensive cost data from reference reactor models, which can be tailored to new designs.

  • Advanced Visualization: Presents results through detailed tables, charts, and graphs to enhance analysis and presentation capabilities.

Understanding the Code of Accounts (COA)#

Central to ACCERT is the Code of Accounts (COA) system, which offers a standardized methodology for categorizing and tracking costs.

  • Hierarchical Structure: COAs are organized across multiple levels (typically between 0-5), decomposing complex systems into manageable components and subtasks.

  • Unique Identifiers: Assigns a distinct COA to each component and cost element, facilitating precise tracking and analysis.

  • Cost Categories: Each COA encompasses three primary cost categories:

    • Factory Equipment Costs: Expenses related to equipment and machinery procurement.

    • Labor Costs: Costs associated with manpower required for construction, installation, and commissioning processes.

    • Material Costs: Expenditures for materials used, quantified in specific units (e.g., tons, cubic yards).

Using ACCERT with NEAMS Workbench#

ACCERT integrates effectively with the NEAMS Workbench, providing a user-friendly environment for cost estimation projects.

  • Intuitive Navigation: The Workbench interface facilitates effortless navigation through different components and cost data.

  • Interactive Controls: Allows real-time modification of inputs and parameters, with immediate impact on overall cost estimations.

  • Comprehensive Visualization Tools: Enables generation of graphs and charts to visualize cost distributions and identify key cost drivers.

Why Use ACCERT?#

  • Precision: Delivers detailed and accurate cost estimates by considering a multitude of variables and components.

  • Efficiency: Enhances productivity by automating complex calculations and organizing data systematically.

  • Versatility: Adaptable to various reactor designs and technologies, making it suitable for a wide range of nuclear projects.

  • Professional Support: Supported by extensive documentation and a community of experienced users and developers.

New Features#

  1. GNCOA vs. EEDB COA Output Ordering:

    • ACCERT now offers the option to output results ordered by either GNCOA (Generalized Nuclear Code of Accounts) or EEDB COA (Energy Economic Database Code of Accounts).

    • This flexibility allows users to select the accounting framework that best aligns with their project’s requirements.

  2. Fusion Model Integration:

    • ACCERT has expanded its capabilities to include a new fusion reactor model, enabling cost estimation and analysis for fusion-based nuclear reactors.

    • Fusion algorithms are organized within a dedicated Python module (FusionFunc.py), enhancing maintainability and scalability, given the distinct cost element structures of fusion reactors.

  3. Refactoring and Database Optimization:

    • Redundant tables and columns have been eliminated to streamline the database structure.

    • Fusion algorithms have been segregated from the main accert_algorithm.csv file, reducing clutter and improving code organization.

    • Unnecessary stored procedures have been removed, simplifying database operations and improving performance.