Energy Management 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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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 the Energy Management Lab

  • Complete hybrid renewable energy learning platform: The lab integrates solar PV, wind energy, battery storage, grid supply, and smart loads into one unified system—allowing students to understand how modern energy ecosystems are built and managed.
  • Hands-on learning with real hardware, not simulations: Students work with live solar arrays, a real wind turbine, weather sensors, standalone and grid-tied inverters, hybrid inverters, charge controllers, and a fully instrumented smart home module.
  • Teaches real-world energy management strategies: The system supports experiments on demand-side management, peak shaving, load shifting, scheduling, net metering, hybrid operation, and smart load automation.
  • Centralized energy management with editable control logic: The lab includes a central controller with an open-source, editable EMS interface—allowing students to modify algorithms, create switching logic, and test their own energy management strategies.
  • Demonstrates standalone, grid-connected, and hybrid modes: Learners can study how systems behave during grid outages, reconnection, battery charging/discharging, and transitions between renewable and grid power.
  • Fully instrumented with weather monitoring and safety controls: The integrated weather station measures solar irradiance, wind speed/direction, humidity, temperature, and rain. Threshold-based automatic protection enables shutdown during unsafe conditions.
  • Smart home and load analysis included: A mini smart-home module demonstrates automated load control, power measurement, and AC load behavior, helping students understand practical energy usage patterns.
  • Ideal for electrical, renewable, and power systems programs: The lab supports undergraduate teaching, postgraduate research, skill development, and smart-grid experimentation for engineering institutions.
  • Modular, scalable, and future-ready design: Institutions can start with the basic setup and later add more renewables, larger storage, advanced EMS algorithms, or additional load modules without redesigning the system.

Real world impact across Campuses

Recent Installations

Ecosense Installs RE-Based Smart Energy Management System at SRM University, AP

Ecosense Installs RE-Based Smart Energy Management System at SRM University, AP

September 5, 2025

Ecosense Sustainable Solutions is proud to announce the successful installation of a Renewable Energy (RE) Based Smart Energy Management System...
Ecosense installs - RE Based Smart Energy Management System at MITS, Gwalior

Ecosense installs - RE Based Smart Energy Management System at MITS, Gwalior

March 19, 2021

Ecosense installed RE Based Smart Energy Management System at Madhav Institute of Technology and Science, Gwalior.
Ecosense Installs RE-Based Smart Energy Management System at MIT-World Peace University

Ecosense Installs RE-Based Smart Energy Management System at MIT-World Peace University

September 23, 2024

MIT-World Peace University?s Department of Electrical and Electronics Engineering has taken a significant leap in renewable energy education by incorporating...

How the Ecosense Energy Management Lab Works

The Energy Management Lab is built around the concept of a hybrid renewable micro-system, where solar, wind, battery storage, smart loads, and grid interaction are integrated through a centralized control architecture. The system demonstrates standalone, grid-connected, and hybrid operation, allowing students to study how energy systems behave under different operating modes and environmental conditions. 

The lab is composed of five major units:

1. Power Generation Unit (Solar PV + Wind Turbine)

This unit includes:

2 kW Solar PV Array, 1 kW Horizontal-Axis Wind Turbine with cut-in speed 3.1 m/s and peak 1000 W output, 24 V Battery Bank (150 Ah) for energy storage

Students can observe:

  • Solar and wind power generation simultaneously or independently
  • Effect of irradiance, wind speed, and weather variations
  • Power fluctuation, MPPT behaviour (via inverter), and energy flow
  • The wind turbine is IEC 61400 compliant and includes overspeed protection, yaw control, and robust marine-coated housing for long-term reliable use. 

2. Weather Station (Real-Time Environmental Data)

The integrated weather station includes:

  • Pyranometer (solar irradiance)
  • Wind speed and direction sensors
  • Temperature and humidity sensors
  • Rain gauge

All weather data is continuously monitored in the central controller. Students can set upper and lower safety thresholds, allowing automatic protection and shutdown during high winds or other unsafe conditions. 

This real-time measurement helps correlate environmental conditions with renewable output, enabling performance analysis and forecasting exercises.

3. Power Evacuation Unit (Standalone, Grid-Connected, Hybrid)

The Power Evacuation Unit allows the system to operate in three selectable modes: 

A. Standalone Mode

Solar and wind generate power that charges the battery and feeds AC/DC loads through a PWM charge controller and standalone inverter.

Students can study:

  • Battery charging patterns
  • Off-grid load support
  • Energy availability vs load demand

B. Grid-Connected Mode

Using a 2 kW MPPT Grid-Tied Inverter, the system can export unused solar energy to the grid or draw power from the grid when renewable supply is low.

Students analyze:

  • PCC measurements
  • Net metering behaviour
  • Power factor and THD characteristics

C. Hybrid Mode

A 2 kW Hybrid Inverter manages both battery storage and grid interaction.

This mode demonstrates:

  • Automatic switching
  • Load priority logic
  • Hybrid solar-wind-battery operation
  • System behaviour during grid outage and reconnection

4. Central Control Unit (Brain of the System)

The central controller manages:

  • Solar PV section
  • Wind section
  • DC link
  • PV charge controller
  • Battery bank
  • Grid-tied inverter
  • Hybrid inverter
  • AC mains
  • AC load

Key capabilities:

  • Manual or automatic control
  • Relay and contactor-based switching
  • RS-485 communication
  • Real-time measurement of voltage, current, power, SoC, load profile
  • Touchscreen graphical interface
  • Open-source editable software for algorithm testing
  • Weather-based alarms and protection
  • Students can modify energy flow logic, switching conditions, and control algorithms—ideal for smart-grid and EMS education. 

5. Load Unit (Smart Home + Load Analysis System)

Smart Home Module: A miniature AC-powered smart home model with relay-based automated control. It includes:

  • Touchscreen panel meter
  • Voltage, current, and waveform display
  • Remote/manual/automatic control
  • RS-485 data communication
  • Students explore demand-side management, automated load control, and home energy monitoring.

Load Analysis System: Includes AC series and parallel load configurations to study:

  • Linear and non-linear loads
  • Load switching impact
  • Power quality variations
  • Behaviour under standalone / grid-connected operation.

What Students Can Learn

Using this lab, students can:

  • Study solar PV and wind I–V and P–V characteristics
  • Analyze standalone, grid-tied, and hybrid operation
  • Understand load switching, scheduling, and demand response
  • Monitor energy flows in real time
  • Perform hybrid solar–wind experiments
  • Explore smart home automation and energy monitoring
  • Learn protection schemes and weather-based shutdown logic
  • Access 24/7 data logging for analysis and research

Why It Stands Out

  • High-reliability, industry-grade components
  • Automatic and manual control
  • High IP-rated devices
  • Works with real and virtual grid
  • Supports algorithm development with editable software
  • Fully instrumented with safety, protection, and datalogging
  • Customizable hardware and software options

Frequently Asked Questions

The Energy Management Lab is designed to teach how renewable energy sources, battery storage, grid supply, and loads are monitored, controlled, and optimized using a centralized energy management system. It enables hands-on learning of standalone, grid-connected, and hybrid renewable energy operation in a real hardware environment. 

The lab integrates Solar PV and Wind Energy as primary renewable sources. A 2 kW solar PV array and a 1 kW wind turbine operate individually or together, allowing students to study hybrid renewable generation and comparative energy evacuation strategies. 

Yes. The system supports standalone mode, grid-connected mode, and hybrid mode using dedicated charge controllers, grid-tied inverters, and hybrid inverters. Students can observe system behavior during grid availability, grid outages, and automatic switching between operating modes. 

The integrated weather station measures solar irradiance, wind speed and direction, temperature, humidity, and rainfall. This data is used to analyze renewable performance and implement safety-based automation, such as high-wind shutdown or weather-driven energy management decisions. 

Yes. The lab includes a smart home module with relay-based automatic, manual, and remote control. Students can monitor voltage, current, power, and waveforms in real time and study demand-side management, load prioritization, and automated energy control using the central controller.