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Advantages of IoT in Solar

by Team Digireach

Renewable sources of energy are the way of the future. One of the primary sources of this alternative form of energy is solar. It’s abundant, it’s clean. It is the fastest-growing renewable energy source in the world, increasing in worldwide capacity by an average of 40 percent every year.

The Internet of Things Technology for supervising solar power generation can greatly enhance the performance, maintenance and monitoring of the plant. IoT can enable us to do intelligent fault detection and power optimization.

Photovoltaic (PV) array analytics and monitor is necessary for remote farms. Monitoring the solar energy incident on the panel can help us evaluate and plan the energy generation. Auxiliary electronics need to be attached to each solar panel to make this monitoring a reality. Real-time data generation of the efficiency of solar panel can help us sense the trend in solar array effectiveness and robustness.

In addition to providing companies with real-time alerts, leveraging IoT in solar energy can lead to improvements in smart metering. This makes energy production more efficient both in terms of cost and logistics. Solar contains a diverse portfolio of rooftop projects located across the city or large scale project installation in remote locations where high sunlight incidence is prevalent.

It is vital to track the data collection. Digital Reach provides the resources and installation expertise to handle the tracking of relevant data. The solar plant data for a range of parameters covering modules, inverters, arrays etc. are captured. The interval at which the data is captured can also be regulated as per the requirement. This data serves as a basic building block for further optimization and assessment of the working of the plant. Necessary changes and adjustments can be done to extract the maximum possible output from the existing installation.

The data which gets collected from the assembly of sensors can provide an array of reports that integrates power generation estimates. Data visualization options can be integrated in the software. The operator or the management can play with the appropriate display of relevant data, KPI construction, dashboards etc. to facilitate easy analysis.

Other operation and maintenance (O&M) details such as log report/ attendance of personnel/ service and other data can be integrated into the dashboard so that the management gets a holistic perspective of at the plant level. Also, the data which has been collected over a period can be integrated to new-age technologies like Machine Learning (ML) and Artificial Intelligence to gather more insights.


Energy industry – Smarter, Efficient, Distributed.

by Team Digireach

Optimizing maintenance schedules can significantly improve reliability. Preventative measures taken to improve reliability by keeping equipment in optimal condition and detecting problems so that necessary repairs can be done before it fails.

The energy sector is undergoing a massive transformation. IoT sensors measure parameters such as vibration, temperature and wear to optimize maintenance schedules.  Data and other energy parameters are tracked via energy meters. In addition to providing more information to utilities, IoT technology can help customers to be more informed about their energy usage. Internet-connected smart meters collect usage data and send it to both utilities and customers remotely.

The data collected can be used to generate reports. Based on these reports, action can be taken by the utility companies or the customers at a personal level. The reports and graphs can enable the authorities to take action and optimize the energy consumption by identifying leakages and optimizing generation, transmission and distribution.

IoT technology has improved to a great extent in the electrical utility sector. The data collection points, memory space, data processing at the edge-level or the cloud-level can be chosen appropriately so that optimized data collection and preventative action can be taken.

IoT technology can enable the integration of more distributed resources into the grid, but it can also improve grid management in other ways as well. Placing sensors at substations and along distribution lines provides real-time power consumption data that energy companies can use to make decisions about voltage control, load switching, network configuration and more. Some of these decisions can be automated.

Sensors located on the grid can alert operators to outages, allowing them to turn off power to damaged lines to prevent electrocution, wildfires and other hazards. Manual activity of isolating problem areas takes up a lot of time and leads to unwanted losses.  Smart switches can isolate problem areas automatically and reroute power to get the lights back on sooner.

Load forecasting is another aspect of smart power of the future. Power usage data is already collected using an assembly of IoT gateway, cloud, processing power and memory. There are pockets of high power generation and high power consumption both region-wise and time-wise. Load forecasting can help in managing congestion along transmission and distribution lines and help ensure that all of the connected generation plants meet requirements related to frequency and voltage control. This power consumption data can also help companies decide where to build new infrastructure and make infrastructure upgrades. More informed decision and investments in the power sector can go a long way in providing reliable power capacity for each location.

The IoT is transforming nearly every sector of our economy, including the one that powers — the energy sector. Over the coming years, the energy industry is going to get smarter, more efficient, more distributed and more reliable, thanks in part to the IoT.