{"id":19025,"date":"2019-09-11T17:41:33","date_gmt":"2019-09-11T15:41:33","guid":{"rendered":"https:\/\/www.intellias.com\/?p=19025"},"modified":"2024-07-23T13:33:18","modified_gmt":"2024-07-23T11:33:18","slug":"power-quality-monitoring-get-control-over-energy-distribution","status":"publish","type":"blog","link":"https:\/\/intellias.com\/power-quality-monitoring-get-control-over-energy-distribution\/","title":{"rendered":"Power Quality Monitoring: Get Control over Energy Distribution"},"content":{"rendered":"
A lightbulb is flickering in your office. The computer shuts down when you turn on the fan. Small, everyday disturbances such as these are inconsequential irritations. For large enterprises and industrial plants, however, such power spikes and energy problems are a real nightmare.<\/p>\n
The Electric Power Research Institute (EPRI) estimates<\/a> that industrial facilities in the US lose around $119 to $188 billion annually to downtimes caused by power problems. This is an issue that affects myriad industries \u2014 from telecommunications to finance. Voltage sags, swells, and harmonics cause equipment damage, outages, system crashes, and downtime losses for computer networking, semiconductor and electronics manufacturing, biotech labs, data centers, and other businesses.<\/p>\n Fortunately, technology can help mitigate the impact of voltage disturbances and power variations. Industrial businesses implement monitoring solutions to predict energy issues, analyze possible reasons for outages, and protect expensive equipment from damage.<\/p>\n Let\u2019s examine the most common power problems and how companies use technology to avoid them.<\/p>\n In this article, you\u2019ll learn:<\/b><\/p>\n Poor power quality may sometimes go unnoticed at the systems level, but equipment is still affected. Over time, thermal and insulation stress cause malfunctions and early aging of expensive parts, and yet the reasons for degradation aren\u2019t always obvious. Other readily visible power issues cause more extensive damage to equipment and data, and to business overall. Facilities often suffer from the following types of electrical power problems:<\/p>\n Most common power quality problems in the US and Europe<\/b> A full 85% of incidents<\/a> originate from voltage dips and swells, harmonics, wiring, and grounding issues. Equipment is designed to operate within certain operating conditions. Any power dips and swells can cause system outages and malfunctions. To avoid such problems, some companies have considered alternative sources of energy, such as wind or solar. However, switching power sources has its own issues: harmonics<\/a> can influence the entire supply network along with transformers and cables.<\/p>\n Specific power quality standards<\/a> and regulations ensure a common understanding and methodology for quality measurement. These standards help to analyze and monitor data to solve problems and define how a healthy network should look. Quality guidelines are an integral part of power monitoring systems and help to detect any fluctuations from the adopted norms.<\/p>\n Learn how we\u2019ve helped our client build a software suite for a facility, energy, and workplace management system<\/p>\n Electrical power problems can cause serious economic loss for a company in the following ways:<\/p>\n Energy waste, loss of revenue, inefficient use of equipment, and loss of data make industrial enterprises adopt various monitoring systems to reduce the effects of poor power quality. Any profit-based operation that is interrupted and has to be restarted incurs economic losses. Add to the equation equipment damage, cost in time for repairs, as well as product damage and the cost to discard equipment or repair it and the economic impact of power quality issues becomes enormous. Under such conditions, risk management is critical.<\/p>\n Power quality monitoring refers to gathering and analyzing measurement data and interpreting it to provide useful business insights. Monitoring systems continuously track voltage and current, and then intelligent systems analyze and interpret raw data with minimum human intervention. An electrical power monitoring system is a complex network of tools (meters), the components of which depend on the monitoring objectives, methods of data gathering and storage, analytics requirements, etc.<\/p>\n What are the reasons for power system monitoring?<\/p>\n Monitoring systems should be designed based on certain objectives since there are many system conditions that have to be measured, analyzed, and interpreted. Another challenge is the choice of monitoring equipment to cover all the requirements. Do you choose a permanent monitoring solution or portable tools? Which equipment will allow for scaling? How will the system be designed for long-term analysis and statistical data gathering? The combination of devices<\/a> will depend on your primary goals for power quality monitoring. Generally, intelligent power quality software systems should be able to provide the following insights:<\/p>\n To cover all these requirements and to add custom ones, companies need an experienced vendor that can develop a comprehensive, user-friendly, and highly autonomous electrical power monitoring system to provide intelligible and timely business insights.<\/p>\n Learn how we\u2019ve designed and developed an engaging, high-performance web UI for an energy management platform<\/p>\n With the development of the Internet of Things (IoT), deploying a network of power quality monitoring devices has become more manageable. Big data analytics and the use of AI allow for more precise predictions and provide real-time information for diagnostics, maintenance, isolation of problems, and more. The challenge is to combine everything into one comprehensive, scalable, and adaptable system.<\/p>\n The task is to integrate data from various IoT devices \u2014 analyzers, meters, power quality monitors, etc. \u2014 into one complex database with different modules. It should be connected to the geographic information system (GIS), raise various types of alarms, provide automatic reporting, and ensure compliance with standards. It should also make the information easy to access and easy to share. To create such a system, an industrial company needs a highly experienced \u2014 and professional \u2014 software development vendor.<\/p>\n Discover how Intellias helped deliver a smart building solution that relies in extensive IoT functionality and connected sensors<\/p>\n Power quality analysis is a proactive approach to energy efficiency and equipment maintenance. With the economic impact that electrical disturbances have on industrial facilities, damage control with electrical power monitoring systems is a must for all types of businesses, from electronics to pharmaceutics to finance. Complex power quality software uses IoT programming, AI, and big data to ensure real-time measurement and analysis of a company\u2019s power systems at all levels. With automatic reporting and alarms, stored historical data, and predictive analytics all in place, it is possible \u2014 and cost effective \u2014 for companies to mitigate the effects of energy problems and to protect expensive equipment from early aging.<\/p>\n If you are looking for a vendor to help build a power quality monitoring system, contact our experts<\/a> to learn about our practical knowledge of energy distribution solutions.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":" An electrical power monitoring system is a must for mitigating the effects of energy disturbances on industrial equipment <\/p>\n","protected":false},"author":15,"featured_media":57107,"template":"","class_list":["post-19025","blog","type-blog","status-publish","has-post-thumbnail","hentry","blog-category-oil-energy"],"acf":[],"yoast_head":"\n\n
Common types of power quality disturbances<\/h2>\n
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\nSource: Analog<\/a><\/em><\/p>\nHow power quality issues affect businesses<\/h2>\n
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What\u2019s power quality monitoring, and how can it help?<\/h2>\n
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The role of power quality monitoring software<\/h2>\n
<\/p>\nConclusion<\/h2>\n
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