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  • Writer's pictureAnantaya Pornwichianwong

How to Use Data to Save Energy in Businesses

Today, the issue of global warming caused by energy consumption in businesses and organizations has become a pressing concern that organizations worldwide must address. The adoption of an energy-saving practice, known as the 'going green' campaign, not only benefits the environment but also helps businesses reduce costs at a time when energy expenses have become a significant burden due to rising energy bills.

Large conglomerates with numerous buildings and plants may find it challenging and costly to implement energy-saving plans across all their facilities. However, the widespread adoption of the Internet of Things (IoT) in modern businesses and plants has revolutionized operations by connecting and controlling machines and systems through the Internet. Leveraging IoT in operations allows for the seamless collection of all necessary energy consumption data.

Furthermore, as data solutions continue to advance, including real-time data gathering, data analytics to identify root causes of issues, and predictive analytics for future outcomes, we can leverage these solutions to analyze energy data effectively. These solutions enable us to optimize and manage energy consumption efficiently, empowering companies to successfully go green. These solutions can be applied using the following three approaches.

1. Analyze data for efficient energy consumption planning.

The initial step in utilizing data solutions to optimize energy consumption is to understand the energy consumption patterns across facilities. Begin by collecting and analyzing all relevant energy data to gain insights into how energy is used in different areas of the buildings. This step includes identifying energy waste, such as lighting and air-conditioning systems in vacant rooms or those needlessly running 24/7.

In this step, it is crucial to integrate historical data with real-time energy usage data to conduct predictive analytics, enabling accurate anticipation of future energy demand. Additionally, analyzing building structures, machinery, temperature, and energy control systems in each building area is necessary to comprehend the interplay between energy usage and various factors. The insights gained from these analytics results facilitate adjustments to energy usage plans and building structures, ultimately optimizing energy consumption.

Consulting with data solution experts is necessary to identify the appropriate solutions and analytics practices that align with the specific needs of our organizations. These experts ensure that the chosen solutions don't hinder operations but rather enable us to optimize and reduce energy consumption sustainably.

2. Leverage data to optimize energy consumption.

After gaining an understanding of the energy consumption patterns, energy waste, energy demand, and building structures, the next step involves developing an optimized energy usage plan through the implementation of Building Energy Optimization.

In this step, we combine energy consumption data with other relevant data, such as energy usage and bills during peak hours. Moreover, based on the collected data, we can identify areas that consume the highest amount of energy and formulate comprehensive plans to reduce energy usage in all areas. Additionally, we can explore opportunities for energy reuse, such as using machine pressure to generate heat energy.

In addition to data solutions, we can leverage AI to analyze big data faster and more accurately, enabling us to obtain deeper insights. AI serves as another area of expertise where consultations with experts are available.

3. Develop energy management systems.

After acquiring an understanding of energy consumption within organizations and devising optimized energy usage plans, another crucial step is to develop a platform that enables seamless energy management and control. To achieve this, we can utilize data solutions and leverage a platform known as Building Energy Management, which allows for real-time monitoring based on the newly optimized energy consumption plans.

The platform enables real-time collection and analysis of data from various building areas and operational systems, ensuring alignment with the optimization plan. Moreover, it allows for dynamic adjustments to energy usage based on the collected data, thereby maintaining the highest level of optimization and efficiency. Additionally, the platform can automatically generate reports on energy usage for specific periods, as well as for individual energy sources or building areas, enabling comprehensive tracking.

In this approach, in addition to data solutions, we can harness the power of AI to automate the monitoring, analysis, and adjustment of energy usage. AI can also facilitate energy supply management for different building areas, regulate temperature based on weather conditions during specific periods, and provide real-time reports. These functions collectively ensure 24/7 optimization of our energy consumption.

Every business, regardless of industry, should consider adopting technologies that reduce costs and optimize operations, while also addressing the global warming issue to promote sustainable business growth and create a safer world for everyone.

Learn more about energy solutions from Sertis at


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