Environmental Monitoring & Energy Efficiency

Environmental monitoring & Energy Efficiency labs

Research Assistant:

Dr. Ioannis Antoniadis

Academic Assistant:

Dr. Z. Ziaka

Courses covered:

Energy Efficiency and Savings

Information Systems for Efficient Energy Management

Environmental Monitoring

Information Systems for Public Safety and Security


In this virtual laboratory, students of the relevant classes will be able to practice some of the theoretical aspects taught, through interactive demo tools that employ Graphical User Interfaces. Two distinct tools will be developed:

1. Energy Performanceof Buildings: A tool that will produce the dynamic description of the energy behaviour of the building as a function of several parameters involving the materials used during construction, operational characteristics, microclimatic parameters and various domestic energy production systems, conventional or alternative.


2. Simulation of an environmental monitoring ICT system for forest fire detection: It will provide a realistic simulation of the operation of a forest fire detection information system based on a Wireless Sensor Network under the Zigbee protocol.


In more detail:


Energy Performanceof Buildings

 In the first step, the user will be able, through a GUI, to select parameters such as number of inhabitants, building type/use, heat system and fuel type used (diesel, gas, solar, biomass, etc.), building location and orientation. In the second step, energy flows will be calculated and an energy production/consumption time footprint of the building will be produced depending on the time step selected by the user.

Simulation of an environmental monitoring ICT system for forest fire prevention

The user will be able to select parameters such as type of terrain (clutter info), prevalent wind direction and intensity, temperature, humidity, number of wireless sensors. By considering a realistic wind field for the chosen terrain and meteorological parameters, the simulation system will output the 2D dynamical field of the Fire Weather Index (FWI). According to the value of FWI at sensor locations, the system will recommend the optimal data sampling frequency from the given sensor so as to optimize battery energy consumption.

The user will also be able to simulate the spreading of forest fire by selecting ignition point(s). In this case, the system will produce and depict the simulated output of each of the available sensors as well as its status (e.g., operational/non-operational, data transmission rate, etc.).