Ambiosensing – Project #038253 – P2020, is a co-financed project under the Portugal 2020 national program and implemented under Regional Program of Alentejo 2014-2020.
Ambiosensing – Autonomous & Inteligent System for Energy Saving, as its biggest impact in energy efficiency for buildings. This project main goal is to develop a Concept Proof for an energy management and indoor air quality solution in non-residential buildings, with a low implementation cost and that is highly adaptable, versatile and low maintenance, autonomous enough to make better energy management decisions, according to the Industry 4.0. premises.
The solution to be developed should be able to communicate with the older technology systems already existing in the buildings. It should also incorporate Internet of Things (IoT) and “machine learning” technology and have the capacity for Big Data management.
Large energy consumption and the ability to sustain itself, has become a central theme in today’s society. Increasing energy efficiency while reducing energy consumption and CO2 emissions, is absolutely necessary.
It is also of utmost importance to work in commercial and industrial buildings (public and privately owned), verifying its main energy efficiency flaws and to be able to intervene and rectify those equipment flaws that are contributing to the buildings’ poor energy consumption pattern.
The main goal for this project is to research and develop an energy management tool for buildings that has low implementation cost but is highly adaptable, versatile and low maintenance. A tool that through management and execution of some pre-defined environmental quality parameters and indicators and also its ‘machine learning’ capacity, will have autonomy to make decisions that will improve the building’s energy management, according to the Industry 4.0. premises.
It is our intention to (i) ensure that it is a universal (one fits all) system, (ii) theoretical and real simulation of different possible scenarios, attempting to ensure the best energy efficiency of any system and (iii) controlled environment testing to concept proof the system’s operation.