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Intelligent and predictive management of ventilation systems in tunnels and subway networks. Respira® takes into account the entire network of tunnels as a whole, the geothermal conditions of the terrain and all the variables that affect environmental conditions, so that with its artificial intelligence algorithm, it allows autonomous and efficient control of all ventilation systems in real time. Respira® The system can be easily integrated into SCADA operating systems and allows to obtain maximum performance of the existing installation, detecting those critical zones or areas of the infrastructure.
A railway network that serves the city of Barcelona and the municipalities of its metropolitan area. With more than 1 million trips per day, it represents 94% of the city's passage.
– 1,3 °C
Indoor temperature of the stations in the summer
+ 10,7 %
Stisfaction of passengers in the summer
+ 20,9 %
Performance of the fans
25,1 %
Anual average energy saving in the instalation.
– 1,7 M€
Anual average energy saving in the instalation.
– 7,2 GWh
Anual average energy saving in the instalation.
An international airport that, with more than 4 million passengers, is in ninth position in the ranking of Spanish airports in 2022.
+ 3,1 %
Thermal comfort
time in acceptable range
100%
of the time, air quality in acceptable range.
€600/day
Energy savings of 23,9% on average daily (3,050 kWh/day of savings during summer)
Intelligent and predictive management of ventilation systems in large buildings. Respira® takes into account the entire geothermal conditions and all the variables that affect environmental conditions, so that with its artificial intelligence algorithm, it allows autonomous and efficient control of all ventilation systems in real time. Respira® The system can be easily integrated into SCADA operating systems and allows to obtain maximum performance of the existing installation, detecting those critical zones or areas of the infrastructure.
The M30 ring road tunnels form a network of approximately 48 km in length in underground infrastructure, with a total of 22 exit branches and 21 entrance branches.
Artificial intelligence application to model the fluid-dynamic behavior of the infrastructure.
Control all over the facility.
Intelligent and predictive management of ventilation systems in tunnels and subway networks. Respira® takes into account the entire network of tunnels as a whole, the geothermal conditions of the terrain and all the variables that affect environmental conditions, so that with its artificial intelligence algorithm, it allows autonomous and efficient control of all ventilation systems in real time. Respira® The system can be easily integrated into SCADA operating systems and allows to obtain maximum performance of the existing installation, detecting those critical zones or areas of the infrastructure.
An office complex made up of 6 connected buildings and 1 independent building
located in the Technological Park of Madrid (Tres Cantos).
-30,5 %
Average daily energy savings
100 %
Time Air Quality in category IDA 1 or IDA 2
95,1 %
Thermal comfort time in acceptable range
+ 10,7 %
Stisfaction of passengers in the summer
25,1 %
Anual average energy saving in the instalation.
25,1 %
Anual average energy saving in the instalation.
25,1 %
Anual average energy saving in the instalation.
25,1 %
Anual average energy saving in the instalation.
Respira has optimized ambient conditions in Alcudia and Royal Al Andalus hotels, both belonging to Iberostar Hotels & Resorts group. This project has upgraded the hosts' experience and reduced operating costs using AI technology. In addition, it has identified some investment opportunities to reduce the total hotel consumption and thus, increasing its sustainability
Intelligent and predictive management of ventilation systems in tunnels and subway networks. Respira® takes into account the entire network of tunnels as a whole, the geothermal conditions of the terrain and all the variables that affect environmental conditions, so that with its artificial intelligence algorithm, it allows autonomous and efficient control of all ventilation systems in real time. Respira® The system can be easily integrated into SCADA operating systems and allows to obtain maximum performance of the existing installation, detecting those critical zones or areas of the infrastructure.
A railway network that serves the city of Barcelona and the municipalities of its metropolitan area. With more than 1 million trips per day, it represents 94% of the city's passage.
– 1,3 °C
Indoor temperature of the stations in the summer
+ 10,7 %
Stisfaction of passengers in the summer
+ 20,9 %
Performance of the fans
25,1 %
Anual average energy saving in the instalation.
– 1,7 M€
Anual average energy saving in the instalation.
Intelligent and predictive management of ventilation systems in large buildings. Respira® takes into account the entire geothermal conditions and all the variables that affect environmental conditions, so that with its artificial intelligence algorithm, it allows autonomous and efficient control of all ventilation systems in real time. Respira® The system can be easily integrated into SCADA operating systems and allows to obtain maximum performance of the existing installation, detecting those critical zones or areas of the infrastructure.
An international airport that, with more than 4 million passengers, is in ninth position in the ranking of Spanish airports in 2022.
+ 3,1 °C
Indoor temperature of the stations in the summer
23,9 %
Anual average energy saving in the instalation.
600€/día
Anual average energy saving in the instalation.
The M30 ring road tunnels form a network of approximately 48 km in length in underground infrastructure, with a total of 22 exit branches and 21 entrance branches.
Artificial intelligence application to model the fluid-dynamic behavior of the infrastructure.
Control all over the facility.
Intelligent and predictive management of ventilation systems in tunnels and subway networks. Respira® takes into account the entire network of tunnels as a whole, the geothermal conditions of the terrain and all the variables that affect environmental conditions, so that with its artificial intelligence algorithm, it allows autonomous and efficient control of all ventilation systems in real time. Respira® The system can be easily integrated into SCADA operating systems and allows to obtain maximum performance of the existing installation, detecting those critical zones or areas of the infrastructure.
An office complex made up of 6 connected buildings and 1 independent building, with 2 HVAC installations governed by a single BMS.
-30,5%
Averagedaily energy savings in the instalation.
100 %
Time Air Quality in category IDA 1 or IDA 2
95,1 %
Thermal comfort time in acceptable range
Respira has optimized ambient conditions in Alcudia and Royal Al Andalus hotels, both belonging to Iberostar Hotels & Resorts group. This project has upgraded the hosts' experience and reduced operating costs using AI technology. In addition, it has identified some investment opportunities to reduce the total hotel consumption and thus, increasing its sustainability
Intelligent and predictive management of ventilation systems in tunnels and subway networks. Respira® takes into account the entire network of tunnels as a whole, the geothermal conditions of the terrain and all the variables that affect environmental conditions, so that with its artificial intelligence algorithm, it allows autonomous and efficient control of all ventilation systems in real time. Respira® The system can be easily integrated into SCADA operating systems and allows to obtain maximum performance of the existing installation, detecting those critical zones or areas of the infrastructure.
A railway network that serves the city of Barcelona and the municipalities of its metropolitan area. With more than 1 million trips per day, it represents 94% of the city's passage.
– 1,3 °C
Indoor temperature of the stations in the summer
+ 10,7 %
Stisfaction of passengers in the summer
+20,9%
Performance of the fans
25,1%
Anual average energy saving in the instalation.
-1,7M€
Anual average energy saving in the instalation.
Intelligent and predictive management of ventilation systems in large buildings. Respira® takes into account the entire geothermal conditions and all the variables that affect environmental conditions, so that with its artificial intelligence algorithm, it allows autonomous and efficient control of all ventilation systems in real time. Respira® The system can be easily integrated into SCADA operating systems and allows to obtain maximum performance of the existing installation, detecting those critical zones or areas of the infrastructure.
An international airport that, with more than 4 million passengers, is in ninth position in the ranking of Spanish airports in 2022.
+ 3,1 °C
Indoor temperature of the stations in the summer
23,9 %
Anual average energy saving in the instalation.
600€/día
Anual average energy saving in the instalation.
An international airport that, with more than 4 million passengers, is in ninth position in the ranking of Spanish airports in 2022.
Intelligent and predictive management of ventilation systems in tunnels and subway networks. Respira® takes into account the entire network of tunnels as a whole, the geothermal conditions of the terrain and all the variables that affect environmental conditions, so that with its artificial intelligence algorithm, it allows autonomous and efficient control of all ventilation systems in real time. Respira® The system can be easily integrated into SCADA operating systems and allows to obtain maximum performance of the existing installation, detecting those critical zones or areas of the infrastructure.
An office complex made up of 6 connected buildings and 1 independent building, with 2 HVAC installations governed by a single BMS.
100 %
Time Air Quality in category IDA 1 or IDA 2
-30,5%
Average daily energy savings
95,1%
Thermal comfort time in acceptable range
Respira has optimized ambient conditions in Alcudia and Royal Al Andalus hotels, both belonging to Iberostar Hotels & Resorts group. This project has upgraded the hosts' experience and reduced operating costs using AI technology. In addition, it has identified some investment opportunities to reduce the total hotel consumption and thus, increasing its sustainability
