About

Mission

Our mission is to build practical, simulation-driven engineering products that help teams design energy-efficient HVAC, cooling, and industrial systems with confidence. We aim to replace slow, bespoke analysis with repeatable digital tools that make complex engineering decisions faster, clearer, and more sustainable.

Vision

Our vision is to make advanced engineering simulation accessible, repeatable, and scalable through products. So energy-efficient infrastructure becomes the default, not the exception. We envision a future where digital engineering tools enable smarter systems, low energy waste, and measurable progress toward Net Zero goals.

Product Application Domains

Energy Systems & Renewable Infrastructure

Our products are applied to renewable and energy systems where fluid behaviour directly impacts performance. This includes hydrokinetic turbines, wind-energy aerodynamics, and solar-thermal systems, enabling teams to evaluate efficiency, losses, and design trade-offs digitally before physical deployment.

Low-Emission Mobility & Thermal Systems

We apply simulation-driven product logic to automotive and transport systems requiring efficient airflow, cooling, and thermal control. Use cases include hydrogen propulsion concepts, battery and electronics cooling, and aerodynamic efficiency studies focused on reducing energy demand and emissions.

HVAC, Buildings & Data Centre Cooling

A core focus area for Maha Tej Technologies. Our products support airflow distribution analysis, thermal comfort evaluation, and cooling optimisation for buildings and data centres, helping reduce energy waste and support Net Zero and sustainability-driven design decisions.

What We Build

Simulation-Driven Products

Engineering intelligence embedded into repeatable tools.

  • Physics-based CFD engines embedded within product workflows.
  • Airflow, thermal and pressure behaviour modelled digitally.
  • Scenario-based evaluation without bespoke consultancy studies.
  • Consistent, repeatable outputs across applications.

Parametric Engineering Platforms

Rapid iteration through configurable digital models.

  • Parameter-driven geometry and system configuration.
  • Fast comparison of design and operating scenarios.
  • Reduced dependency on manual CAD rework.
  • Designed for scalability and product reuse.

HVAC & Cooling Optimisation Engines

Digital products for energy-efficient airflow systems.

  • HVAC airflow distribution and pressure loss prediction.
  • Thermal comfort and ventilation performance indicators.
  • Data centre rack- and room-level cooling optimisation logic.
  • Pre-design validation before physical implementation.

Sustainability & Performance Intelligence

Performance insights aligned with Net Zero objectives.

  • Energy efficiency and loss identification metrics.
  • Support for low-carbon and sustainable system concepts.
  • Decision-support outputs for engineering and R&D teams.
  • Built-in logic designed to scale across projects.

Project Portfolio

CFD · R&D

Hydrokinetic Turbine Flow Analysis

Horizontal-axis turbine in canal-like conditions with performance comparison across operating points.

Set up and ran CFD simulations to understand velocity distribution, torque behaviour and loading on blades under varying flow rates. Used the results to compare configurations and identify operating regions with smoother torque and improved predicted efficiency.

Tools: OpenFOAM, CAD for geometry prep, ParaView for post-processing.

HVAC · Pressure Drop

Duct Network Pressure Loss Study

Concept-level optimisation of an HVAC duct layout to reduce fan power.

Analysed a branching duct network, estimating pressure losses and identifying problematic bends and junctions. Recommended layout changes and sizing adjustments aimed at reducing system resistance and improving distribution.

Tools: CAD, analytical calculations, basic CFD checks, spreadsheets.

Energy Systems · Simulation

Electric Vehicle Charging Impact Study

Simulation-based assessment of EV charging schedules on a distribution network.

Evaluated how different charging patterns influence network loading and losses, using optimisation-style approaches to shift demand and reduce stress on the system. Summarised outcomes as clear charts and recommendations.

Tools: Numerical scripting, optimisation routines, data visualisation.

Thermal · Concept Design

Cooling Flow Concept for High-Heat Components

Channel and plenum concept study for more uniform cooling.

Developed concept geometries for coolant flow around heat-generating components, then used simplified simulations and calculations to compare designs. Focused on temperature uniformity and pressure drop trade-offs.

Tools: CAD, CFD, post-processing and comparative plots.

Contact

If you’d like to discuss a project, get a quick feasibility check, or explore how CFD and simulation could support your work, you can reach me directly:

Email: mahatej.tech@gmail.com
Location: Manchester, United Kingdom · available for remote collaboration.
LinkedIn: linkedin.com/in/your-profile