Introduction: The Failure of Energy Systems When There Is No Failure
For the most part, industrial operations are designed with an understanding of energy but lack an awareness of how energy works.
Energy is tracked by operation teams, billed to finance teams, and managed by maintenance teams, but for all the attention paid to energy, there is still one aspect that is consistently overlooked: the power delivered from one point to another.
The problem is not immediately obvious, as no single point of failure can be identified. Equipment starts acting strange, maintenance periods become more frequent, and expenses increase while production rates remain low. The underlying issue may not be evident at first, but it is quite possible that the root cause is power quality.
This is not an unusual occurrence but rather a design flaw in most industrial systems.
Why This Problem Has Occurred: Lack of Structural Visibility
Power quality challenges have not occurred because of an absence of structure; industrial plants of today are designed using high-class equipment, machinery, automation, and electricity that enable them to function optimally. However, their management is what poses a problem.
By and large, most factories fail to achieve visibility into electrical behaviors in real time. Information on energy use is mostly gathered at a macro-level scale and mostly through utility meters and periodic reports. While such information sheds light on energy utilization rates, nothing about actual power dynamics is learned from this type of monitoring.
Even worse, electrical data, machinery data, and operational data may remain isolated from one another, preventing any correlation between the two. It would be impossible to derive insights from such data unless they were integrated to form a unified whole.
Finally, manual monitoring methods place additional barriers to understanding electrical events. Disturbances in power, including voltage sag, harmonics, and transients, happen quickly, too fast for anyone to notice them. Even then, such phenomena are mostly unobservable unless followed by an operational problem.
Older power installations can be another factor. Most of these plants are not equipped for handling the current loads that require sophisticated electronic components, like variable frequency drives, automation control, and digital instruments. As a consequence, the electrical environment becomes less stable as the need increases.
What an Ideal System Must Accomplish
Main Needs in an Effective Power Quality Management System
For an efficient power quality management process, the system must not just be a standalone tool, but a part of the industrial energy infrastructure.
Data Acquisition in Real Time
The problems that occur in the field of power quality don’t emerge; they just happen very quickly. A system based on data that is not timely will be reactive, no matter what. Data acquisition in real time makes it possible to monitor the state of electrical networks all the time and detect anomalies right away. Otherwise, one would only have to deal with their effects.
Granular Monitoring and Visibility at the Machine Level
Power quality problems usually do not manifest themselves consistently across the whole factory. The problem could be localized on a certain machine. A solution that would have plant-wide visibility will not allow isolating the source of problems. Granular monitoring allows companies to determine the source of the problem and intervene precisely.
Analysis of Power Quality Characteristics as One of the Main Features
Monitoring of voltage and current is not enough for industrial facilities. Analyzing the characteristics of power quality like harmonic distortion, imbalance phases, and transient phenomena needs to take place because they affect the performance of the industrial systems. Without analysis, monitoring would be pointless.
Centralized Data Platform
Without a central platform, data is scattered and hard to analyze. In a good system, all the data relating to electricity, operation, and analysis is collected and brought together in a single place. Not only does it make it easier to monitor the performance, but it also helps in making sure that the different departments such as the engineering and operations teams see things from the same perspective.
Scalability & Integration
Industries change and grow over time, and therefore, monitoring systems have to change to keep up with the changing situation. The integration with the existing system, like SCADA system, ERP, and IoT, is important.
Alerting & Automated Actions
Detecting a problem does not mean anything until there is an action taken in a matter of seconds after it has occurred. A good detection solution is one that would allow users to set up thresholds and have alerts triggered when there is a deviation from established standards. Where possible, such solutions should also allow for automated corrective measures to minimize the amount of human labor involved in the process.
Overview of System Architecture
A systematic approach to the issue implies the implementation of an architecture which would make sure that the raw electrical parameters are transformed into decision-making information.
Firstly, there is a data layer where electrical parameters are recorded. In our case, we would use smart meters and power analyzers to get high-resolution data points.
Then, the communication layer takes care of moving data through a complex network of sensors and actuators without any delays and interruptions.
In turn, the platform layer represents the core component of a good solution, it collects data from different sensors, processes it using various data analysis techniques, and generates reports for further action.
Lastly, there is the application layer which serves to generate alerts or perform other useful functions.
This Is Accomplished Through Daitan Solutions As Follows:
First, Daitan Solutions considers energy monitoring as a process of designing the system, and not just the monitoring part itself.
In the data level, Daitan Solutions uses sophisticated devices that can record electrical behavior in detail. The devices used enable Daitan Solutions to detect localized problems that exist within a complex industrial system.
With its communication infrastructure using the Internet of Things, Daitan Solutions allows instantaneous transmission of data, thereby providing continuous feedback for system behaviors.
The consolidation of the data gathered at the platform level is done by Daitan Solutions using its energy management system to allow instant monitoring, analysis, and interpretation of energy performance.
Finally, through the application layer, the data gathered is translated into predictions, automatic notifications, and energy efficiency.
Impact on Business Operations: The Tangible Cost of Doing Nothing
There are many aspects to the problem of power quality and not just the cost of inefficient use of electricity.
Financially, power quality deterioration results in energy wastage, losses, and potentially penalty charges for inefficient energy use. These costs are often not considered because they are built into energy costs.
Operationally, fluctuations in the power supply create fluctuations in productivity. This may not manifest itself in terms of immediate equipment failure, but operating under less than ideal circumstances makes production variable and more maintenance intensive.
Capital costs are adversely affected by fluctuations as well. Machines and other equipment are worn out faster than usual when exposed to fluctuating power supply conditions, adding to equipment purchase and repair expenses.
Finally, strategically, businesses whose energy management systems are poorly controlled cannot expand beyond certain limits. Production needs cannot be met with the current level of technology, creating problems down the road.
Case Study: A Textile Factory
Within a typical textile factory, there are many machines that run throughout the day under various loads. In the absence of proper monitoring systems, any problems such as voltage variations or harmonics go unnoticed. The end result is that the machines start behaving erratically, and maintenance personnel have no choice but to adopt a reactive approach.
Upon installation of a monitoring system for energy consumption, things change in the textile factory. Disturbances in power supply get pinpointed to specific machines, and steps can be taken to correct them. Predictive maintenance replaces reactive maintenance, and energy use corresponds to production levels.
The results do not happen overnight, but they do become evident.
Common Industry Mistakes That Keep Happening
One of the mistakes made in industries is the belief that managing energy involves nothing more than measuring how much energy is consumed. Monthly bills are seen as adequate measures of system operation without paying attention to electrical parameters.
Monitoring system data may also be viewed merely for reporting purposes and not for making use of that information. Such an approach makes the whole monitoring system pointless.
However, the most crucial mistake made by industries is overlooking the significance of power quality. This factor is seen as technical, whereas its impact goes beyond technical aspects.
The Hidden Knowledge: The Issue Is Not With The Data, But With Its Interpretation
Modern factories have a great deal of data coming out of them. What is missing, however, is not the data itself, but rather its organization.
The reason for power quality problems is not that they cannot be measured but that no system for their interpretation exists.
What Will Happen if You Choose Not To Address Power Quality
The longer that power quality remains unchecked, the more pronounced the effects become. The costs begin to pile up gradually and cannot be linked directly to one issue. Efficiency starts to suffer, resulting in reduced competitiveness. According to the International Energy Agency, optimizing energy systems is one of the best ways to improve industrial effectiveness; however, this will not be possible without tackling the problem of power quality.
Conclusion: Power Quality Is an Architectural Choice
Power quality is not a standalone engineering problem. It is an indicator of how the energy system is architected, measured, and managed.
Companies that ignore it in favor of other considerations are working reactively, always fixing problems rather than their underlying causes. Companies that embrace it as an architectural element have the power to control, refine, and expand their operations.
Assessing Your Energy Monitoring Architecture Using Daitan
In the absence of real-time insights into the energy dynamics of your facility, this problem isn’t something you might experience but is actually something that’s inherent in your energy management architecture.
With Daitan Solutions, we can help your organization build a proper energy monitoring architecture framework that brings in much-needed clarity and efficiency.
Get in touch with Daitan for a comprehensive assessment of your energy monitoring needs.