I&D algorithms and techniques to create a system with low implementation and maintenance costs with possible future upgrading. Research and development should be based in optimization techniques applied to the system to be developed, resulting in an operational costs reduction and real energy savings.


Improvement in the comfort level for those using the buildings, according to their preferences and energy usage, reducing the energy consumption, knowing that the comfort level is directly linked to improvements in Air Conditioning Quality (ACQ), meeting regulation ISO 500001.

It is our intention to integrate the local ACQ performance analysis and the automatic adjustment of AC equipment elements (motors, etc) with “machine learning” capacities, thus increasing the system’s reaction performance and capacity to adjust to the desired conditions, with minimal energy consumption.

Automatic learning and optimization procedures must be researched and implemented. We must also research, define and include simulation mechanisms to support the decision making process in the system’s advanced configuration, that is simulate and test new energy usage scenarios that can be subsequently measured and analyzed, to create a more appropriate solution.

Simulation is an appropriate tool for analyzing and evaluating current and future situations, thus becoming an effective support to any decision maker.


Adoption of management practices and reduction of carbon emissions, focusing on research and development of algorithms and techniques that enhance decarbonization. As a basis for investigating these algorithms, the parameters to be considered will be based on direct observation of the collection, analysis and reporting in order to optimize results and reduce consumption. In this way, the acquisition of the company’s internal knowledge in this area will be greatly leveraged.


System scalability (application scope), with the ability to connect to existing networks, with a high number of established protocols, and the ability to connect and transmit data over existing wireless networks, own router, or Internet of Things (IoT) and / or Cyber ​​Physical Systems (CPS). These two concepts are extremely important in this objective because they allow the various devices in the buildings to be connected in a network and be able to collect and transmit data, and to build collaborative forms with each other. Thus, the question of interoperability will be one of the fundamental points to be investigated, so that the protocol to be used is flexible, allowing for backward compatibility and enhancing the improvement of future systems, without making past solutions unfeasible. In this way, we intend to use information access infrastructures based on existing platforms that allow the management, optimization and customization of the necessary data and requirements, being able to make use of cloud computing.


Management of the volume of information generated, which should be managed efficiently based on the Big Data paradigm, presenting itself as a viable way to deal with the huge volume of data generated. This concept is appropriate because in this system it is intended to deal with large volumes of data produced by the various devices existing in buildings, with a frequency in real time suitable for its control. In this way, solutions can be designed where sensor networks (sensing + IoT + cloud systems) are integrated, with intelligent automation and computing systems for optimization, control and diagnosis, and prediction of HVAC systems.

The Ambiosensing project intends to develop a system to monitor, manage and control energy efficiency and ACQ, enhancing decarbonisation, being adaptable to the current conditions of companies, and being able to leverage them following EU directives, in accordance with, for example, ISO 50001. The concepts developed will be implemented in a computational prototype supported by a cloud computing platform. This prototype will allow, in a first phase, to validate the developed algorithms and strategies. Subsequently, through Ambiosfera partnerships, it will be possible to demonstrate the models and strategies in a real case scenario in order to commercialize this planning and optimization platform internationally. It is intended, therefore, to investigate and develop a pilot application that includes and allows testing and validating all aspects developed throughout the project activities, so that at a later stage, and in a product development logic, it is possible to commercialize this application as an energy efficiency optimization tool. This cloud technology is chosen because it allows the development of a scalable application, independent of the hardware and operating system, which will enable the secure sharing of information and collaborative work from anywhere in the world and the reduction of operation and maintenance costs. The system to be investigated and developed is also intended to facilitate access to the platform by several international clients, who have expressed this intention and to those clients we are looking to partner with, with post-R & D of this project. In view of the current context and for Ambiosfera to continue to follow the markets and the development of new standards, the development of this project is essential.