COMMUNICATION OF SUSTAINABLE COMPANIES DOESN’T JUST TELL ABOUT RESULTS
Efficiency
Intelligence
Control
“Creating an anticipatory storytelling
of sustainability subjects”
Intentions are not enough.
Actions are needed.
GREENBLOG is our starting point.
Communication in responsible companies doesn’t just tell about results, but also creates an anticipatory storytelling of topics referring to sustainability.
Doing more and better with less means implementing efficiency in cooling, heating and thermoregulation applications in industrial production processes.
A world that for Tempco is populated by a variety of green tasks, from energy saving to heat recovery that embraces the criteria of circularity, from the reduction of waste to the use of technologies that bring ecological and economic advantages to companies, by using energy and renewable sources available in the environment; up to the optimization of consumption by adapting the operations of systems and equipment to actual production requests, embracing the main principle of maximum flexibility.
From the Latin Intelligere, reading inside, infusing intelligence into technological solutions for thermal energy management and temperature regulation means for Tempco looking inside and beyond the applications of companies in the process industry.
In order to fully understand the needs of individual processes to re-imagine them in a new green way, embracing new optimization strategies and co-creating new intelligent solutions using the most suitable and cutting-edge technologies, to bring industrial applications to new levels of sustainability and of responsible and circular use of energy and production resources.
Sensors and digital technologies in production processes’ control today allow the development of solutions and thermal machines strongly oriented towards the sustainability of industrial production.
The collection of data and parameters relating to the process and the working conditions of the machines allows us to implement sustainability on two fronts: first, optimizing consumption by reducing costs, saving energy and at the same time guaranteeing the achievement of higher quality standards; secondly, with real time condition monitoring of components in the production systems, opening up to innovative approaches in service and assistance, allowing intervention only when necessary to prevent machine downtime and eliminate waste, to the point of creating real predictive maintenance strategies that bring the benefits of artificial intelligence to data analysis.
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