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The strategy of predictive maintenance
Energy saving is not anymore an economical matter. Current companies need to prove
environmentally sustainable to face competition and cope in the long run in decarbonization.
Using and producing energy in a conscious and efficient way means align resources with the
expected plant demand and it is a path where data is progressively collected and analyzed to gain
awareness on inefficiencies and remedies.
A Smart Energy Assessment is the initial step: the as-is condition has to be clearly mapped as it
enables to schedule the future interventions. While studying the as-is situation, Intellico acts on
three main pillars: an assessment of current energy management procedures, the identification of
energy-intensive critical assets and the identification of mission critical use cases to address.
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Energy Consumption Optimization
For what concern the energy-consuming critical assets, those are specific by industry: the most
impacting in general are pumps, cooling compressors, conveyors and HVAC systems.
After a clear mapping of these three aspects, the process comes across the algorithm definition.
In this second phase, a data collection activity from existing sensors is
performed. Once all the available data are collected, the PoC phase can start: an Energy AI model
is developed, trained and then applied to the data. The proposed solutions, by integrating artificial
intelligence, allow to obtain optimizations that are not reachable otherwis
Energy Production Optimization
The energy production optimization mainly concerns the energy produced with renewable plants
such as photovoltaic panels, wind turbines and hydroelectric plants. Renewable sources are not
constant during time, and is not also manageable to store energy for long periods.
For these reasons, in addition to optimize energy consumption, is extremely important to optimize energy
production, with the aim to align production and demand, without lose energy and consume
resources to produce it when is not needed.
AI algorithms can help in managing several sources of data, in order to be able to optimize energy
production at a level not reachable without Artificial Intelligence.
Energy transition
Every energy efficiency intervention is a step towards the environmental sustainability and a contribution to the energy transition: a clear and tangible added value for the company itself, while sustainability is today a hot topic highly considered by all the stakeholders. Some energy efficiency measures also meet regulatory requirements and, by verifying the correct installation and smooth operation of the systems, prevent unwanted downtime and increase safety in the company.
The monitoring of consumption
From the choice of supply to the monitoring of consumption - including non-productive ones - to the analysis of plant efficiency, there are several actions a company can take to limit the operating costs of the business and reduce waste. To do so, everything starts from a Smart Energy Assessment that Intellico provides to companies and direct the client towards the solution that best suits its job.
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Intellico.ai s.r.l
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info@intellico.ai
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