• Contact Us
  • Privacy Policy
BizTech Age Logo
  • Business
  • MarTech
  • Fintech
  • Technology
  • NEWS
  • Reviews
No Result
View All Result
  • Business
  • MarTech
  • Fintech
  • Technology
  • NEWS
  • Reviews
No Result
View All Result
BizTech Age Logo
No Result
View All Result
Home Technology Internet of Things

Managing Performance of Energy Assets with IoT

by Editorial Staff
in Internet of Things, Technology
Reading Time: 3min read
energy companies 1024x680 1
Share on LinkedInShare on Twitter

For an IoT based energy monitoring solution, managing the performance and condition of assets and equipment is a primary yet rudimental aspect. Maturing energy products in an IoT-driven environment have become predictive and are now pursuing the ability to conduct automated operations

Table of Contents hide
1. RelatedPosts
2. How To Successfully Digitize Your Business For Growth
3. The Role of Artificial Intelligence in Business: Opportunities and Challenges
4. Health and Maintenance
5. Asset Management as per User’s Expectations
6. Facing Scalability Challenges During Asset Management
7. From Scheduled Maintenance to Effective Maintenance
8. Predictive Maintenance and Superior Safety Systems
9. Conclusion

RelatedPosts

Digitize Your Business

How To Successfully Digitize Your Business For Growth

February 1, 2023 - Updated on February 4, 2023
142
Role of Artificial Intelligence in Business

The Role of Artificial Intelligence in Business: Opportunities and Challenges

January 25, 2023
145

IoT based asset management system enables power generating companies and energy utilities to digitally manage their energy production and distribution operations. However, these systems also face barriers primarily associated with data management. It is difficult for systems to transform the continuous inflow of data into meaningful and actionable information and that too in real-time.

Processing and analyzing this data on a large scale as that of a power generation and T&D facility is no small feat to achieve. However, handlers rely heavily on this interpreted information to conduct repairs on broken pieces of equipment and maintain current operations.

IoT ecosystems infused into these facilities along with the application of sensors allow sharing of the raw collected data and help asset management systems to use this information to track the performance of assets. This data can provide useful insights based on the following two categories:

Health and Maintenance

The amount of data transferred mainly depends on the number of sensors and the component on which they are integrated. Even the most elementary asset management systems can use this data to predict the health of the parts on which they are deployed along with their operational efficiency. At present, these systems compare the actual performance of the assets against the set benchmarks to determine their health. Doing this helps inspection and repair teams to conduct condition-based maintenance while keeping the equipment downtime as low as possible.

However, even though these systems tell about the condition and performance of the assets, certain decisions like when to conduct maintenance still have to be taken manually. With the integration of cognition based technologies like artificial intelligence and machine learning, much more is expected from the current asset performance management systems.

Asset Management as per User’s Expectations

Energy generating companies have some additional goals to be accomplished similar to any other enterprise. These goals may be to ensure adequate profit margins, meet regulatory compliance or provide everyone with sufficient energy. These goals must be accomplished in order to boost overall operational excellence and fulfill customers’ needs.

We now know that predicting potential component failures is a key capability that asset management systems offer. However, the savings of an energy utility can be substantially huge given if the technology can be used for detecting every possible breakdown or malfunction. The money then saved can hence be used by the energy utilities to extend their reach to people located in more remote locations.

Facing Scalability Challenges During Asset Management

Utilities have a prime objective to provide the population of people around its vicinity with adequate and uninterrupted power supply. To do so, these energy providers are required to scale up their processes to stretch their services to the increased population every year.

However, given the complexity of asset management systems, it is not an easy task to scale them up to meet future needs. They are not only required to be scaled in the saturated market but are also required to be extended to new geographies. Hence, the energy suppliers must have access to the distantly located devices or energy meters so that they can supply energy on a pay-to-use basis.

From Scheduled Maintenance to Effective Maintenance

By far, the most advantageous feature of asset maintenance systems is the predictive identification of probable machine failures. Through, advanced analytics data is arranged and analyzed via AI and ML-based models to identify apparent performance degradation of equipment and also its failure.

This paradigm shift from reactive to preventive methodologies can help utilities to optimally use energy management and diagnostic tools. Subsequently, these predictive AI modules can also be used to react simultaneously with a component or process undergoing a constant dip in its effectiveness. By leveraging these modules, an enterprise or a business can eventually program its facility to conduct automated operations and take preventive actions without any manual intervention.

Predictive Maintenance and Superior Safety Systems

As per consultants and experts, the data that fuels an asset maintenance system can also be integrated with other business systems such as GISs, ERPs, and other work management applications.

By using lakes of data from end devices, contextual frameworks can also be developed to boost the operational safety. Power generation companies can also use these frameworks to enhance their operational excellence and install safety systems. Special sensors can be used to monitor parameters like temperature and pressure of a system and predict failures of an asset/equipment that can result in catastrophic situations.

Conclusion

By leveraging contemporary technologies like AI, ML, cloud computing, and IoT, utilities can develop asset performance management systems to manage their equipment and assets effectively. Since the IoT market equally depends on the hardware and software capabilities, it is important to make sensors smart and intelligent. This will help utilities to eventually adopt automation practices and significantly increase the overall ROI.

Previous Post

Why You Should Prefer VoIP Over Landline for Your Business

Next Post

How Customer Experience Drives Business Growth

Editorial Staff

Editorial Staff

Business & Technology Magazine - Let's Discuss the Business and Technology Generation.

Related Posts

Digitize Your Business
Business

How To Successfully Digitize Your Business For Growth

February 1, 2023 - Updated on February 4, 2023
142
Role of Artificial Intelligence in Business
Artificial Intelligence

The Role of Artificial Intelligence in Business: Opportunities and Challenges

January 25, 2023
145
Networking Equipment
Technology

6 Tips For Choosing The Right Networking Equipment For Your Business

January 19, 2023
142
power Strip
Tools

The 4 Best Power Strips Of 2023

January 11, 2023
142
the internet
Internet of Things

Connect TV to the Internet

January 3, 2023
143
toaster
Gadgets

The 4 Best Bread Toasters

December 19, 2022
139
Next Post
cx drives growth 1024x662 1

How Customer Experience Drives Business Growth

Leave Comment
facebook fans

4 Reasons Why Buying Facebook Fans Is Bad For Your Business

February 1, 2023
136
Digitize Your Business

How To Successfully Digitize Your Business For Growth

February 1, 2023 - Updated on February 4, 2023
142
Role of Artificial Intelligence in Business

The Role of Artificial Intelligence in Business: Opportunities and Challenges

January 25, 2023
145
yoga

7 Marketing Tips for Yoga Businesses to Get and Retain Clients

January 25, 2023
141
Performance marketing Analytics

Evaluating the Impact of Performance Marketing and Analytics

January 23, 2023
147
Comprehensive Business and Modernization

Comprehensive Business and Modernization: Pillars of Business Sustainability

January 23, 2023 - Updated on February 4, 2023
135
Find The IP Address Of A VoIP
Technology

How Do I Find The IP Address Of A VoIP Phone?

June 11, 2021 - Updated on September 27, 2022
AnimeDao
Reviews

AnimeDao – 13 Questions Answered

November 27, 2021 - Updated on November 13, 2022
Sportsurge
Website

Sportsurge – Watch Live Sporting Events for Free

July 17, 2021 - Updated on November 13, 2022
Cyberpunk 2077 Nudity
Games

How to Disable Cyberpunk 2077 Nudity

November 27, 2021 - Updated on June 24, 2022
UPS Systems
Technology

The Ultimate Guide to Understanding UPS Systems

February 1, 2022 - Updated on February 1, 2023
4Anime Review
Reviews

4Anime – Enjoy Anime Videos in High-Quality with Subtitles

July 17, 2021 - Updated on November 27, 2021
Facebook Twitter LinkedIn Pinterest RSS
BizTech Age Logo

BizTech Age explores business and technology issues that IT leaders and business managers face when they’re evaluating and implementing a solution.

Follow Us On News Platforms

BizTechAge on Google News

Quick Links

  • Home
  • Jobs
  • Contact Us
  • Write for Us
  • Privacy Policy
  • HTML Sitemap
  • Advertise With Us

© 2021 BizTech Age Magazine for latest and trending news in Business and Technology Age

No Result
View All Result
  • Business
  • MarTech
  • Fintech
  • Technology
  • NEWS
  • Reviews

© 2021 BizTech Age Magazine for latest and trending news in Business and Technology Age

error: Content is protected !!
This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy and Cookie Policy.