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Development Lab

← Research Lab | ↑ Profile | Engineering Technologies →


Engineering software, computational tools, and scientific programming for process systems engineering.

Purpose

The Development Lab transforms engineering concepts, research methods, and simulation approaches into computational tools that support analysis, design, optimization, and decision-making.

Development activities focus on creating reliable, reusable, and documented software solutions for engineering applications.


Development Areas

Engineering Software

Development of software tools that support chemical engineering calculations, modelling, and process analysis.

Areas include:

  • Process calculations
  • Engineering utilities
  • Simulation tools
  • Automation workflows
  • Data processing tools

Computational Modelling

Development of numerical methods and computational approaches for solving engineering problems.

Focus areas:

  • Mathematical modelling
  • Numerical simulation
  • Parameter estimation
  • Model validation

Process Simulation Development

Extension and integration of engineering simulation workflows.

Focus areas:

  • DWSIM scripting
  • Custom unit operations
  • Simulation automation
  • Process optimization

Scientific Programming

Application of programming methods to engineering research.

Languages and tools:

  • Python
  • MATLAB
  • Jupyter Notebook
  • Scientific computing libraries

Development Workflow

Engineering Problem

Mathematical Formulation

Computational Model

Software Implementation

Testing and Validation

Engineering Application


Software Projects

NES Engineering Units Library

A computational library for standardized engineering unit conversions and calculations.

Status: Development

Process Simulation Utilities

Tools supporting process modelling, simulation workflows, and engineering analysis.

Status: Planned

Thermodynamics Library

Engineering property calculations and thermodynamic utilities.

Status: Planned

Heat Transfer Tools

Computational tools for heat transfer analysis and thermal system calculations.

Status: Planned


Technologies

Programming

  • Python
  • MATLAB
  • IronPython

Engineering Software

  • DWSIM
  • Cantera
  • OpenModelica

Data and Analysis

  • NumPy
  • Pandas
  • Jupyter Notebook
  • Matplotlib

Relationship with Other Workspaces

Research Lab

Development Lab

Engineering Technologies

Industrial AI

Research produces engineering knowledge.

Development converts knowledge into computational tools.

Engineering Technologies applies tools to industrial systems.


Documentation

Development documentation includes:

  • Software architecture
  • Technical specifications
  • User guides
  • API documentation
  • Validation reports
  • Examples

Navigation

← Research Lab

↑ NeksGen Sys Profile

Engineering Technologies →

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Engineering software, computational tools, and scientific programming for process systems engineering.

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