Carbon Capture Lab

Learning Modules

EV Drive Line Simulator with Controller Development & Validation Platform

The EV Driveline Simulator with Controller Development & Validation Platform is a complete hardware-integrated environment designed for mastering electric vehicle propulsion systems. It enables students, researchers, and engineers to design, test, and validate motor control algorithms on real PMSM traction motors, interact with a programmable dynamometer, execute drive cycles, and evaluate full charging–discharging workflows. The platform replicates a true EV energy ecosystem—from grid to battery to motor and back—making it ideal for advanced learning, research, and prototype development in electric mobility.

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Battery Cycler with Data Analytics

The Battery Cycler with Data Analytics (BCDA) is a comprehensive educational and experimental platform designed to study and analyze electric vehicle (EV) battery systems. Combining real EV components with open-source software and a built-in environmental chamber, this system provides users with the tools to conduct hands-on experiments, simulate real-world conditions, and perform in-depth data analytics. BCDA is ideal for institutions and research labs aiming to deliver practical skills and foster innovation in battery technology and electric mobility.

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BMS Learn & Build Platform

The BMS Learn & Build Platform is a modular training and research system designed to bridge classroom learning with real-world battery applications. It enables students, researchers, and developers to design, program, and validate Battery Management System (BMS) algorithms on real battery packs, addressing the growing demand for safe and intelligent battery management in electric vehicles and energy storage systems.The platform integrates a BMS development unit, a battery cycler with data analytics, and an environmental chamber for controlled charge–discharge and thermal testing. With LabVIEW-based monitoring and open-source firmware, users can configure experiments, simulate protection events, and analyze battery performance in real time. The system provides a scalable, hands-on environment for learning, algorithm development, and BMS validation.

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Modular and Adaptive EVSE

The Modular and Adaptive Electric Vehicle Supply Equipment (MAEVSE) by Ecosense is a fully integrated educational and research platform that simulates the complete EV charging ecosystem. Designed for universities, polytechnics, and technical institutions, MAEVSE combines real EV hardware with open-source control software, enabling students and researchers to explore every aspect of EV charging technology—from onboard AC charging to off-board DC fast charging—through hands-on experimentation, data analysis, and control algorithm development. This lab-grade platform is engineered to bridge the gap between theoretical knowledge and real-world EV infrastructure.

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Green Hydrogen Generation and Storage System

The Green Hydrogen Generation and Storage System by Ecosense is a modular, reconfigurable educational and research-grade platform that replicates the complete hydrogen value chain—from renewable power harvesting to hydrogen generation and safe storage. Designed for engineering institutions, R&D labs, and clean energy centers, this system serves as a real-world replica of decentralized hydrogen production hubs. It enables comparative experimentation with leading electrolyzer technologies (PEM, AEM, Alkaline) and supports multiple input sources including photovoltaic arrays, PV emulators, and AC grid supply. With the flexibility to switch technologies and test variables under controlled lab conditions, this platform prepares students and researchers to design, operate, and optimize hydrogen infrastructure in alignment with future energy systems.

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Green Hydrogen Generation, Storage and Utilization System

The Green Hydrogen Generation, Storage and Utilization System is a customizable experimental and research platform designed to facilitate the comprehensive study of the entire green hydrogen cycle. It enables users to explore every stage—from renewable energy integration (via Solar PV arrays or PV emulator systems) and water purification, to hydrogen generation using a choice of electrolyzers (PEM, AEM, or Alkaline), followed by safe storage and final utilization through a PEM fuel cell. This system offers a complete hands-on learning environment, making it ideal for academic institutions, research laboratories, and technology training centers focused on advancing hydrogen energy technologies with a strong focus on safety, control, and performance analysis.

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Green Hydrogen Microgrid

The Green Hydrogen Microgrid by Ecosense is a cutting-edge educational and experimental platform designed to demonstrate the generation, storage, and utilization of hydrogen energy integrated within a smart microgrid system. This system enables students and researchers to explore real-time renewable energy integration, green hydrogen production via electrolysis, and electricity generation using fuel cells. It provides a holistic learning experience in advanced energy systems, making it an ideal tool for institutions aiming to lead in hydrogen technology and sustainability.

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Electrolyzer Characterization System

The Electrolyzer Characterization System is a laboratory-grade platform designed for in-depth testing of PEM electrolyzers in green hydrogen generation. It features five stackable cells plus additional variable-area cells, powered by a programmable DC supply for precise I–V characterization. A distilled water system with conductivity sensors and peristaltic pumps ensures controlled water quality and flow, while gas handling units with dryers, separators, and flow meters provide accurate hydrogen and oxygen measurement. Operating conditions such as temperature, pressure, and flow rate can be independently adjusted and monitored via a PC-based control and logging interface. Built-in safety systems—including overpressure shutdowns, leak detectors, and solenoid cut-offs—guarantee secure operation, making the platform ideal for research on efficiency, degradation, and operational optimization of electrolyzers.

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Fuel Cell Characterization System

The Fuel Cell Characterization System is an advanced experimentation and research platform for studying PEM fuel cells. It enables detailed exploration of efficiency, durability, and performance under varied operating conditions. The setup includes five single cells and three additional MEA sizes, allowing comparative analysis and scale-up research. Its stackable architecture links single-cell studies to stack-level applications, bridging the gap between laboratory learning and practical deployment. With PC-enabled control, researchers can regulate temperature, humidity, and gas pressure while receiving real-time feedback. A programmable electronic load supports experiments on dynamic operating conditions and optimization. Integrated humidifiers and gas management systems ensure consistent performance. Built-in safety features such as hydrogen leak detection, automatic purging, and overpressure protection guarantee secure operations. Tailored for universities, training centers, and R&D labs, the system provides a complete, safe, and flexible environment for advancing green hydrogen research and innovation.

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Solar PV Training and Research System

The Solar PV Training and Research System is a compact, hands-on educational platform that replicates a real-world standalone solar power plant. Ideal for universities, polytechnics, and research labs, it empowers learners to explore solar photovoltaic technology—from basic principles to advanced MPPT algorithms. The system features structured experiments across three modules: PV characteristics, standalone system integration, and MPPT research. Using modular plug-in units and artificial sunlight, it enables detailed study of panel behavior, wiring, and environmental effects. A complete solution for technical training, academic projects, and solar innovation.

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Solar PV Grid Tied Training System

The Solar PV Grid Tied Training System is a versatile experimental setup designed to simulate a real-world grid-connected solar power plant. Perfect for hands-on learning in universities and technical institutes, it also serves as a robust platform for advanced research in solar PV integration, power quality analysis, and smart grid studies. Featuring a built-in virtual grid, it is ideal for locations where direct grid connections are not permitted, allowing seamless experimentation and research in a fully controlled environment.

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Solar PV Emulator

Ecosense’s Solar PV Emulator is a versatile experimental tool designed to replicate the characteristics of solar panels, enabling users to simulate various environmental conditions without relying on actual sunlight. Ideal for educational institutions and research labs, it offers a controlled environment to study and analyze solar photovoltaic systems. The emulator can visualize up to four peaks of shading, allowing detailed examination of partial shading effects on solar panel performance.

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Solar Thermal Training System

The Solar Thermal Training System is a compact, modular platform designed to replicate real-world flat plate solar water heating systems. Engineered for both educational and research applications, it facilitates hands-on experimentation with key thermal performance parameters such as efficiency, overall heat loss coefficient (UL), and heat removal factor (FR). The system's adaptability allows users to conduct experiments under varying conditions, including different wind speeds, fluid temperatures, flow rates, and irradiation levels, making it an invaluable tool for comprehensive thermal analysis.

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Solar Concentrator Training System

The Solar Concentrator Training System is a compact and modular experimental platform designed to replicate the functionality of a solar parabolic trough collector-based water heating system. Comprising parabolic reflectors, absorber tubes, a sun tracking mechanism, piping, storage tanks, and a control panel, this system facilitates hands-on learning and in-depth research in solar thermal technologies. Its adaptability to various working fluids, absorber materials, insulation thicknesses, and storage configurations makes it an invaluable tool for both educational institutions and research laboratories aiming to explore heat transfer dynamics and system efficiency under diverse conditions.

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ETC Characterization System

The ETC Characterization System is a compact, closed-loop Evacuated Tube Collector (ETC) setup designed for in-depth thermal analysis of various fluids. Utilizing an artificial sunlight source, this system enables controlled, indoor experimentation independent of natural climate conditions. Ideal for educational institutions, it also serves as a robust platform for advanced research on heat transfer, system efficiency, and the performance of different working fluids, including nanofluids.

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Thermal Energy Storage System

The Solar Thermal Energy Storage System is a versatile experimental platform designed to facilitate in-depth studies of thermal energy storage using Phase Change Materials (PCMs). Engineered for both educational and research applications, this system enables users to explore the dynamics of heat transfer, storage, and retrieval under various operating conditions. Its modular design allows for experimentation with different PCMs, flow rates, and temperatures, making it an invaluable tool for understanding and optimizing thermal energy storage solutions.

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Wind Energy Training System

The Wind Energy Training System is a compact, hands-on laboratory platform designed to introduce students and professionals to the fundamentals of wind power generation and standalone wind energy systems. It replicates the core workings of an actual wind turbine plant in a controlled laboratory environment — perfect for classroom learning, skill development programs, technical training, and renewable energy research. This system facilitates hands-on learning and research by allowing users to study the operational characteristics of wind turbines, understand energy conversion processes, and explore system integration aspects.

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Wind Turbine Emulator

The Wind Turbine Emulator is a real-time, hardware-in-the-loop (HIL) platform that replicates the mechanical and electrical behavior of a wind turbine under controlled laboratory conditions. It eliminates dependence on natural wind while allowing students and researchers to study turbine dynamics, power conversion, MPPT algorithms, and grid interaction with high repeatability and safety.With advanced control architecture and support for external algorithm integration (MATLAB, Simulink, FPGA, etc.), the system facilitates real-time experimentation, deep system modeling, and algorithm validation, all within the safety of a laboratory.

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Wind Turbine Emulator-PV Emulator-Fuel Cell Microgrid

The Wind Turbine Emulator-Solar PV Emulator-Fuel Cell Microgrid is a tri-source, fully integrated hybrid energy training platform that combines Wind Turbine Emulator (WTE), PV Emulator (PVE), and PEM Fuel Cell systems to simulate a real-world microgrid environment. It offers users the ability to model, control, and analyze complex interactions among renewable sources and storage units, with applications in smart grid control, distributed generation, and hybrid energy management. This advanced lab-scale system enables real-time source coordination, dynamic load response, and grid interfacing, making it ideal for universities, technical research labs, and training centers focused on sustainable energy systems. The platform supports integration with battery banks, supercapacitors, and programmable loads, while also offering a fully open-source control software environment for custom experimentation.

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Learning Module

Wind Turbine Emulator-PV Emulator Microgrid

The Wind Turbine Emulator and PV Emulator (WTE-PVE) Microgrid is a comprehensive, lab-scale microgrid system developed for training, experimentation, and research in sustainable power systems. It simulates both wind and solar power generation and allows users to understand, design, and test hybrid energy systems under realistic environmental and load conditions. The system comprises two primary subsystems: the Wind Turbine Emulator (WTE) and the PV Emulator (PVE). Each operates independently but can also be integrated at a common DC link to form a combined hybrid system. The platform supports bidirectional power flow with energy storage, programmable loads, and inverter-based AC output, making it suitable for microgrid studies, control algorithm development, and grid synchronization.

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Wind Turbine Emulator - Fuel Cell Microgrid

The WTE-FC Microgrid is an advanced hybrid energy training and research platform that integrates a Wind Turbine Emulator (WTE) with a Proton Exchange Membrane (PEM) Fuel Cell system. Designed to explore power continuity and backup energy strategies in microgrids, this system enables users to simulate and analyze the interplay between intermittent renewable generation and steady hydrogen-based power supply. The platform mirrors real-world microgrid operation, where wind energy serves as the primary variable source and hydrogen fuel cells provide reliability during low-wind scenarios. This system is ideal for developing skills in microgrid design, renewable backup strategies, energy security analysis, and grid-independent operation.

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Fuel Cell Training System

The Fuel Cell Training System is a fully integrated, modular, and scalable experimental setup designed to bridge the gap between fuel cell theory and practical application. Built for engineering institutes, research labs, and skill development centers, this lab platform allows users to explore everything from fundamental electrochemistry to advanced energy system integration. With a real PEM fuel cell stack at its core, and support components such as a charge controller, battery bank, inverter, and active load modules, the lab facilitates a wide range of experiments, from V-I curve plotting to hybrid system design. Whether you are a student learning fuel cell basics or a researcher developing advanced MPPT algorithms, the Fuel Cell Training System delivers both flexibility and depth.

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Fuel Cell Drive Train

The Fuel Cell Drive Train is a modular platform designed to simulate and study the complete powertrain of a hydrogen fuel cell hybrid electric vehicle (FCEV). It provides a real-world learning experience on how hydrogen fuel is converted into electric propulsion, integrating advanced control electronics, power conversion units, and electromechanical systems. This lab-scale setup includes a PEM Fuel Cell, bidirectional power converters, battery bank, ultracapacitor module, and a complete motor drive system comprising a Permanent Magnet Synchronous Motor (PMSM) acting as the traction motor, coupled to a loading PMDC motor and a resistive load bank for rad condition simulation.

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Ocean Wave Energy Simulator

The Ocean Wave Energy Simulator by Ecosense is a complete lab-scale system that replicates the behavior of Oscillating Water Column (OWC) wave energy plants. It uses real ocean wave data to simulate irregular sea states and emulates the full energy conversion process using a DC motor to replicate turbine torque and a Permanent Magnet Synchronous Generator (PMSG) for electrical generation. With LabVIEW-based control, real-time monitoring, and grid-connected operation, it serves as a robust platform for education, research, and control strategy development in marine renewable energy.

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Integrated Platform for Carbon Capture and Utilization

Integrated Platform for Carbon Capture and Utilization is a comprehensive, hands-on educational system designed to bring real-world Carbon Capture, Utilization, and Storage (CCUS) processes into the classroom and research environment. Tailored for engineering and science institutions, this lab-scale setup simulates the complete CCUS cycle—from carbon emission simulation and adsorption to desorption and final mineralization into stable compounds like CaCO₃. With integrated sensors, a PID-based control system, and an IoT-enabled data acquisition unit, this platform is suitable for both foundational learning and advanced experimentation.

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RE-Based Smart Energy Management System

The RE-Based Smart Energy Management System by Ecosense is a comprehensive educational platform designed to demonstrate and analyze renewable energy generation and management. It integrates solar and wind energy sources, enabling users to explore various configurations such as standalone, grid-connected, and hybrid systems. The system offers hands-on experience in energy production, storage, and smart load management, making it an invaluable tool for academic instruction and applied research in sustainable energy technologies.

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Three/Single Phase Programmable RLC Load

The Programmable Three-Phase/Single Phase RLC Load System is a hardware-based programmable load bank that uses real resistors, inductors, and capacitors to simulate a wide range of electrical loading scenarios. Controlled via a LabVIEW-based graphical user interface (GUI), the system allows users to independently set resistive (R), inductive (L), and capacitive (C) load levels by entering reference power values, offering precise and dynamic control of active and reactive loads. With built-in power measurement, harmonic analysis, and multi-point communication this platform is ideal for power systems education, energy audits, and three-phase power quality research.

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Programmable DC Load

The Programmable DC Load System is a real, hardware-based resistive load bank that allows precise, software-controlled application of electrical loads to DC power sources such as fuel cells, batteries, solar PV modules, and DC power supplies. Unlike electronic or transistor-based loads, this system uses actual resistors as load elements, making it a perfect match for scenarios where users need to observe true thermal, electrical, and physical behavior under resistive loading conditions. Featuring a LabVIEW-based graphical user interface (GUI), the system offers both manual toggle and automated control modes, real-time parameter monitoring, data logging, and live graph plotting. It's a highly effective tool for engineering education, renewable energy research, and system testing.

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Zonal DC Microgrid

The Zonal DC Microgrid is a next generation educational and research platform that replicates a 2 zone, distributed DC power system capable of simulating real world fault handling, isolation, and resilience strategies. Installed at IIT Roorkee, this system is equipped with multiple DC buses, adjustable voltage levels, and independent load/source configurations in each zone. The platform allows students and researchers to generate faults intentionally in one zone and observe how the other zone remains unaffected, paving the way for smart grid and resilient infrastructure training.

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Universal Datalogger

The Universal Data Logger System is a highly adaptable platform designed to acquire, display, and log real-time data from multiple sensor types including temperature (RTDs, thermocouples), pressure, and flow sensors. Ideal for multidisciplinary labs, the system supports a wide range of input types and allows students and researchers to perform comprehensive measurements and data analysis across various energy, fluid, and thermal systems. Its modular design and LabVIEW-based GUI make it perfect for educational institutions and industrial training centers that require accurate, flexible, and scalable data acquisition systems.

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Grid-Connected Battery Energy Storage System

The Grid-Connected BESS is a fully functional battery energy storage lab system that simulates real-time grid interaction, renewable buffering, and demand-side energy control. It enables experimentation on peak shaving, frequency response, and bidirectional energy exchange. The system combines a battery bank, inverter, smart controller, and energy monitoring software to form a modular and programmable BESS ideal for both educational and pilot-scale smart grid implementations.

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Multiple Input Multiple Output (MIMO) Converter

The MIMO DC-DC Converter is a robust and intelligent energy management system capable of handling multiple energy sources and storage systems simultaneously. Developed for use in research-oriented microgrid and hybrid system labs, the converter features multiple isolated input/output ports, each programmable for source or sink operation. This platform allows researchers and students to study MPPT, power balancing, energy routing, and converter control strategies between combinations of solar PV, batteries, fuel cells, and supercapacitors.

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VERIFICATION OF STRESS HYPOTHESIS – ECS234

This apparatus is designed to generate multi-axial loads on test samples made of ductile metals such as steel, copper, brass, and aluminium. It is used for verification of the Rankine and Tresca yield criteria and representation of stresses and strains in Mohr’s circle.

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DEFORMATION OF BARS UNDER BENDING OR TORSION (ECS140)

This apparatus is used to study deformation of bars under bending and torsion. It allows bending tests and torsion tests to determine modulus of elasticity and shear modulus for various materials such as aluminium, steel, brass, and copper.

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EQUILIBRIUM OF MOMENTS ON A TWO-ARM LEVER (ECS085)

The Equilibrium of Moments on a Two-Arm Lever Apparatus (ECS085) demonstrates the fundamental law of the lever and the concept of moments in static equilibrium. It enables students to understand how force and distance influence rotational balance, making it an essential experiment for the study of statics and basic mechanics principles.

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FORCES IN A CRANE JIB (ECS188)

This apparatus allows the determination of forces in a planar crane jib system. It enables the study of tensile and compressive bar forces, vectorial handling of forces, and the analysis of various jib configurations.

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TIMING BALL (ECS596)

The Timing Ball apparatus is used for the measurement of total time of flight during projectile motion and to determine acceleration due to gravity ‘g’. It includes Bluetooth connectivity for data measurement and digital display.

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Why Choose Carbon Capture Lab

  • Hands-on learning in carbon capture and utilization: The Carbon Capture Lab equips students and researchers with practical, experiment-based understanding of CO₂ capture, absorption, monitoring, conversion, and storage — core technologies at the heart of climate mitigation and industrial decarbonization efforts.
  • Designed for clean-energy and sustainability education: Instead of only providing theoretical knowledge, this lab blends real experimental modules with foundational clean-energy principles, strengthening skills needed for careers in environmental engineering, energy systems, and climate technology research.
  • Ideal for multidisciplinary engineering programs: The lab is suitable for mechanical, chemical, environmental, and energy engineering curricula — enabling practical experiments in gas absorption, CO₂ transformation, emission monitoring, and capture efficiency analysis, all of which are key to modern carbon reduction strategies.
  • Supports research and innovation in carbon capture technologies: With well-instrumented modules that allow real CO₂ capture and utilization experiments, institutions can use this lab for undergraduate courses, postgraduate research projects, and faculty-led sustainability R&D initiatives.
  • Prepares students for emerging climate-tech careers: As nations and industries adopt carbon capture, utilisation and storage (CCUS) systems to achieve net-zero goals, graduates with hands-on experience in CO₂ capture processes are highly sought after in sectors such as energy, environmental consultancy, and industrial decarbonization. 

How the Carbon Capture Lab Works

The Carbon Capture Lab is an integrated platform that allows students and researchers to explore CO₂ capture, monitoring, processing, and utilization through real experiments. Instead of focusing solely on simulations or theoretical exercises, the lab is engineered to perform practical, measurable experiments that reveal the behaviour of carbon capture processes under controlled conditions.
 
At its core, the lab enables learners to understand how carbon dioxide — a major greenhouse gas — can be separated from gas streams, quantified, stored, and processed into stable forms. The lab brings together multiple modules that together create a complete experimental workflow for carbon capture technologies.

1. Gas Flow and CO₂ Introduction: The lab begins with a controlled source of carbon dioxide or CO₂-rich gas, allowing learners to introduce CO₂ into the experimental setup at desired flow rates. Instruments monitor gas composition, flow rate, and pressure, enabling students to study how CO₂ behaves in flowing streams and under different operational conditions.

2. Absorption and Capture Mechanisms: One of the key functionalities of the lab is its gas absorption module, where CO₂ is captured from a gas stream using absorbents or capture media. Students can measure how variables like flow rate, temperature, and absorbent concentration affect the capture efficiency. This hands-on work demonstrates the principles behind industrial carbon capture technologies, such as solvent or sorbent-based capture systems, where CO₂ is selectively removed from flue gases or air.

3. Monitoring and Instrumentation: The lab is equipped with real-time gas sensors and analytical instruments that monitor CO₂ concentration before and after capture. Students can observe how capture efficiency changes with process conditions, and they can plot and analyze capture performance curves. These measurements help solidify understanding of capture kinetics and process optimization.

4. Conversion and Utilization Experiments: Beyond capture, the lab enables experimentation on carbon utilization pathways — such as converting captured CO₂ into stable compounds like carbonates (e.g., converting CO₂ to CaCO₃) or feeding CO₂ into processes where it can be further used as a feedstock. This module introduces learners to carbon utilization (CCU) concepts, which are increasingly applied in sustainable materials and carbon-neutral production processes. 

5. Data Analysis and Research Applications: All experiments come with comprehensive data acquisition and visualization tools, allowing learners to collect, plot, and interpret results. Students can correlate variables like absorbent type, operating temperature, and gas concentration with capture performance, enabling research-level experiments, optimization studies, and comparative analysis.

What You Can Do in the Lab

In this lab, learners can:

  • Perform CO₂ capture experiments with varying flow rates and absorbents
  • Analyze capture efficiency and process parameters
  • Monitor gas composition in real time
  • Explore conversion of CO₂ into stable forms
  • Collect experimental data for research and reports
  • Compare different carbon capture techniques
  • Apply learnings to industrial and climate-technology contexts

Why It Matters

As global efforts intensify to reduce atmospheric carbon dioxide and meet climate targets, understanding carbon capture and utilization technologies has become a critical skill in engineering and environmental science. The Ecosense Carbon Capture Lab translates these emerging technologies from industrial settings into classroom-scale, hands-on learning platforms — helping the next generation of engineers and researchers develop real, applicable expertise. 

 

Frequently Asked Questions

The Carbon Capture Lab is designed to help students and researchers understand how CO₂ can be captured from gas streams, measured, processed, and converted into stable compounds. It provides hands-on experience with real carbon capture processes rather than relying only on theoretical learning.

Students can perform CO₂ absorption experiments, measure capture efficiency, study the effect of flow rate and temperature, monitor CO₂ concentration using sensors, and explore CO₂ utilization pathways such as converting CO₂ into carbonates (e.g., CaCO₃). These experiments strengthen understanding of industrial CCUS processes.

Yes. The lab is ideal for chemical, mechanical, environmental, and energy engineering programs, as well as sustainability and climate-technology courses. It supports both undergraduate teaching and postgraduate research in emissions reduction and clean-technology development.

Yes. The Carbon Capture Lab is equipped with gas sensors, flow meters, and analytical instruments that provide real-time measurement of CO₂ concentration before and after the capture process. This allows students to analyze performance and validate capture efficiency with accurate data.

Absolutely. The lab supports detailed data logging, parameter variation, and performance analysis, making it suitable for M.Tech dissertations, PhD research, faculty projects, and innovation in carbon capture and utilization technologies.