The adoption of automated systems for energy management is gaining momentum in corporate environments. Today, advanced Internet of Things (IoT) sensors, smart platforms and AI algorithms are integrated to monitor, analyze and regulate consumption. The objective is to develop more efficient infrastructures that dynamically adjust to both energy demand and resource availability, minimizing waste and optimizing their use.
What benefits does it provide and in what structures is it applied? “Energy automation facilitates a significant reduction in operating costs related to consumption and allows achieving environmental and regulatory sustainability objectives. It also enables predictive maintenance and optimizes operational efficiency in industrial, commercial and corporate infrastructures,” says Fabián Bosquiazzo, Natural Resources Sales VP at Softtek. And he adds: “At the same time, it favorably positions organizations in markets that are increasingly sensitive to ESG (environmental, social and governance) criteria, increasing competitiveness, reputation and the ability to adapt to future regulations.”
Technologies and applications. Key technologies enabling real-time monitoring are IoT sensors and devices, artificial intelligence, machine learning and edge computing, as well as blockchain and integration with building management systems (BMS). “These technologies facilitate a continuous flow of data, instant feedback, automated alerts when appropriate, and proactive changes,” explains Bosquiazzo.
A report from the consultant Verified Market Research valued the smart automation applications market in energy and environment at US$10.5 billion in 2024, and expects it to accelerate its growth, reaching US$25.8 billion by 2033, growing at a compound annual rate of 10.5% between 2026 and 2033. According to this analysis, intelligent automation “is transforming the way energy is produced, distributed and consumed. “Energy providers are increasingly adopting automation tools to improve operational efficiency and provide real-time monitoring capabilities. This change not only promotes energy savings, but also improves grid reliability.”
Other use cases. In addition to their application in smart electrical distribution networks, for the management of demand and supply of energy in real time, these systems already find other use cases, such as, for example:
-Industrial energy management: for improving energy efficiency in manufacturing processes and equipment.
-Smart buildings: to optimize energy use in lighting, HVAC and maintenance systems.
-Data centers: for improving cooling and load distribution of servers.
-Integration of renewable energies: to optimize solar, wind and energy storage systems.
By automating energy management with these technologies and systems, companies take an evolutionary leap on their path towards sustainability. “These are solutions with great value for the business and with significant disruptive power, therefore, their adoption requires a long-term vision and a sustained commitment on the part of shareholders and senior management, which allows them to accompany the processes of transformation, technological maturation and cultural change necessary for these projects to generate value in a consistent and sustainable way over time,” concludes Bosquiazzo.
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