Discover 3 reasons to control your energy production with IDboxRT

Solar monitoring systems allow users to have a global view of the performance of their solar installations: tracking performance, voltage level, temperature, energy production or even failures.

However, many organizations do not see the full potential of integrating a monitoring system into their solar installation. They miss out on the significant financial, operational and environmental reputational benefits associated with monitoring systems.

Discover the 3 main advantages of integrating monitoring systems into your solar installations.

Reason 1: Increased knowledge and control
Prior to data collection and on-site monitoring, companies are often unaware of the overall performance of their facilities. In many cases, a decrease in equipment efficiency goes unnoticed because it is not continuously monitored.

A monitoring system brings transparency to solar installations.

The data collected is converted into advanced KPIs and displayed in dynamic dashboards that benefit multiple stakeholders. It facilitates reporting and can lead to corrective actions to maximize energy production.

Reason 2: Improved profitability
After being analyzed, the data issued by energy monitoring systems provides an accurate reflection of energy production and the overall infrastructure. From this information, it is possible to quantify savings potential and have a snapshot of the facility’s financial situation.

  • Reduced operating cost
    By prioritizing the use of renewable sources and maximizing solar penetration, the purchase of energy from the grid or fossil fuels can be reduced, resulting in an overall decrease in operating cost. Relevant KPIs, such as the performance ratio, also allow operators to compare actual energy production with the ideal. In the case of a solar diesel installation, monitoring a multi-energy site will help you track diesel generator usage and anticipate system maintenance.
  • Calculating the ROI of the installation
    Calculating the carbon emissions avoided and operational savings generated can help building owners assess the return on investment of solar installations.

Reason 3: Easier maintenance, higher reliability

A monitoring solution such as IDboxRT shows site diagnostics by detecting equipment faults. A simple alarm configuration will trigger customized alarms that will alert the operator of any abnormal deviations in production, reducing resolution time. The solution is also capable of displaying the material alarm displayed locally on a unified dashboard.

Implementing a solution like IDboxRT will be a key asset for your facility to optimize its overall performance. This advanced monitoring software is just a click away!

What is the difference between Operational Intelligence (OI) and Business Intelligence (BI)?

Understanding the differences between operational intelligence (OI) and business intelligence (BI) is crucial to contextualizing and taking action on the information and insights provided by your analytics toolset. While both operational and business intelligence are used to drive action and inform decision making, there are key differences that distinguish these two areas of analysis.

Business intelligence maintains a relatively narrow focus with an emphasis on finding efficiencies that optimize revenue or profitability. BI typically means taking a snapshot of data over a defined period of time in the past and reviewing it to understand how the organization might achieve better success in the future.

In contrast, operational intelligence focuses on systems, rather than profits. OI uses real-time data collection and analysis to reveal trends or problems that could affect the operation of IT systems and to help front-line workers make the best decisions about how to address those problems.

The differences between operational intelligence and business intelligence can be summarized as follows:

Business intelligence focuses on finding efficiencies that increase or protect profits, while operational intelligence focuses on maintaining the health of IT systems.

Business intelligence leverages more historical data, while operational intelligence relies on real-time data collection and analysis. Operational intelligence has been described as immediate business intelligence gained from ongoing operational functions, a definition that speaks to the real-time nature of data collection and focuses on the operational functions that characterize operational intelligence in an enterprise environment. While business intelligence typically runs within a specific data silo, operational intelligence helps organizations break down data silos to uncover trends and patterns of activity within complex and disparate systems.