How can you identify energy waste in your facility using IoT?

While we have already moved to the world of data, most of the industrial equipment is still being designed traditionally - in other words to cover a certain design envelope within the given design criteria. with IoT, now the asset owners are able to collect many data points that will help them to understand the actual "dynamic" operation envelope within the "static" design envelope.

Leverage IoT for precise energy waste identification in facilities by deploying sensors to monitor equipment and systems. Analyze real-time data to detect anomalies, such as inefficient equipment operation or excessive energy consumption during non-peak hours. Implement smart meters and sub-metering to pinpoint energy-intensive areas. Utilize predictive analytics to anticipate potential issues. Integrate building management systems for centralized control and automated responses to optimize energy usage. Continuous monitoring through IoT allows for proactive identification and rectification of energy inefficiencies, contributing to enhanced sustainability and cost savings in facility management.

To identify energy waste in your facility using IoT: Energy Monitoring Sensors: Track real-time energy usage with IoT sensors for electricity, water, and gas. Smart Meters: Upgrade to smart meters for detailed insights into consumption patterns and peak usage periods. Occupancy Sensors: Optimize lighting, heating, and cooling based on occupancy to reduce energy waste in unused spaces. Temperature and Humidity Sensors: Monitor levels to optimize HVAC systems and prevent overconsumption. Lighting Control Systems: Implement smart lighting with motion sensors and daylight harvesting to activate lights only when needed. Equipment Monitoring: Connect industrial equipment to IoT for identifying inefficient machinery and reducing energy use.

Using IoT, data can be collected, then applying Energy optimization strategies through Data Analytics. Forecasting the trendline of the consumption, and real time energy consumption.

We need to monitor the usage of equipments based on operational timing of the premises. This data will give major answers for saving questioners. IoT equipemnts should be configured and operated in proper manner.

Imagine a facility that has several floors and each floor having multiple rooms with different energy consumption equipment. In order to save energy ideally we need to use the equipment in an efficient way and turn off when not needed. IoT can easily connect to the floor level / room level/ equipment level energy meters to acquire a consumption pattern and goals can be set at room level to reduce unnecessary energy consumption. The best part this being wireless helps in rapid installation. Just with this a sizable amount of energy could be saved , I have not even gone into data analytics & Machine learning based energy optimisation. So yes IoT definitely has a huge role to play in saving energy in any facility.

To enhance energy efficiency, the initial step involves transforming major energy-consuming equipment with smart technology for optimal efficiency. For this, it is imperative to implement measures that allow precise monitoring of energy-influencing factors (i.e. electrical, mechanical, environmental, and occupancy etc.). Leveraging IoT enables accurate and frequent tracking of these parameters. The collected data can then undergo thorough analysis and correlation to pinpoint any potential sources of energy wastage within the system. Subsequently, the insights gained from this analysis can be used to replicate the process onto other significant energy-consuming equipment, thereby extending the efficiency improvements across the board.

IIOT Plays an important role in every industry and in modern energy management system. It can act as a custodian to measure energy demand for lighting or hvac or any other loads and act accordingly. Home automation is a good example for IOT and it can be developed in such a way where causes of energy waste will be considered and optimise accordingly. Similarly in industry, IIOT systems can be built to stop idle running as well as optimise energy demand by analysing requirements. Realtime data collection through IIOT can also provides continuous data to identify patterns which is the building block for AI/ML. Now the key is to identify the tradeoff between savings by stopping energy waste with the help of IIOT and the investment.

We are in world of data from all corners. Calibration and accurate calculation of data provided by IoT devices will enhance the system usage and reduce the heap of loss on facility and leads to green future.

If you monitor energy consumption in real time across different machines and systems, you can use IoT and cloud software to send you automatic alarm notifications when certain limits are exceeded, allowing you to intervene quickly enough before it's too late. Especially in Germany, where you pay monthly installments and only see your actual consumption and the costs incurred in the annual billing, energy leaks will only be noticed very late and will be difficult to track. Or how should you understand the savings through individual measures. It's amazing that we can measure everything these days or have an app for it, but we don't yet have a useful measuring instrument for energy, something so essential that makes our modern lives possible.

IoT can help you to look for energy savings where there is generally lack of understanding and focus from the companies. Typical example is HVAC systems in big manufacturing locations. I have not seen a proper HVAC system operations in most of the places. This makes them vulnerable for energy wastage. IoT can help management track the energy consumption through sensors in required spaces and with this data connected to DCS or PLC, operators can take necessary actions to reduce consumption/ optimisation of heating/cooling. Another area is lighting on the site and isolated places can be optimised using sensors, data generation and analysis. Ideally operations people are most suitable for such kind of analysis.

1. Real-time monitoring via IoT tracks energy usage across diverse equipment, facilitating swift identification of energy wastage areas. Concurrently, it predicts equipment failures or maintenance requirements by continuously monitoring performance metrics. 2. Remote control capabilities enable efficient energy usage by adjusting equipment settings based on usage patterns or external factors like weather, all without requiring human intervention. 3. IoT facilitates extensive data collection on energy consumption patterns, empowering detailed analysis. This data-driven method yields insights into usage trends, peak periods, and optimization opportunities, fostering informed decision-making.

Energy management is best applicable with IoT sensors. Facility team should focus on major consuming assets like HVAC, PUMPs and high wattage hallogens or sodium lamps. Managing major contributurs will give good result in saving and lighting saving just cream on juicy shake.

The Internet of Things (IoT) offers seamless installation, rapid access to real-time data, and a high return on investment. Easy IoT device setup streamlines infrastructure expansion, reducing implementation costs. Fast real-time data access empowers businesses with instant operational insights, facilitating swift and informed decision-making. Real-time monitoring enhances efficiency and shortens response times in critical situations. The high ROI stems from improved efficiency, lowered operating costs, and the potential for new revenue streams. Precise IoT data optimizes processes, predicts maintenance needs, and boosts overall performance, ensuring long-term financial benefits and heightened competitiveness.

The cost of the Energy Management is always primary concern by end users , utilities or System Integrators. When implementing an IoT energy management solution or building IoT infrastructure for their scada systems users should take into account the cost of hardware, software, installation and maintenance carefully. Remote I/O gateways or edge computers make effectively to provide monitoring with providing VPN and IT protocols .

Challenges will be how to implement it in old facilities and how this could be done in the most cost effective way. For this practical applications to be developed for operational facilities to control energy wastage by optimising energy usage. IOT can give details of usage of various facilities like meeting rooms, cafeteria, toilets, common areas, lifts, car parks etc which can direct service staff to visit specific areas for services instead of taking rounds at particular intervals to check and then service the areas. It can be Centralized and controlled/serviced optimally. Similar thing with HVAC. Many times complaints come about too cold / warm at the same time. IOT can control the level of comfort based on occupancy and usage.

I have found a huge challenge is the sheer amount of data available from some IoT devices. Having a clear, concise, and specific set of goals are essential to an effective strategy when deciding what data is needed and how to use it. The goals can center on specific plants, areas, or processes where IoT devices can be deployed. Another challenge is deciding what to do with the data, how to do it. There are now a plethora of devices with their own software solutions, cloud or on-premise, some proprietary, some open source. Finding a reliable solution to collect, display, and provide insightful data can seem daunting. Keeping these challenges in mind is a good start to managing challenges and turning them into opportunities.

1. Getting adequate data for analysis 2. Maintenance of IoT sensors 3. Focus on energy savings vs immediate tasks 4. Formation of cross functional teams to finalise action plan after analysis 5. Sustained focus of management

Effective IoT implementation relies heavily on communication technology. Selecting the appropriate technology is crucial, ensuring alignment with stakeholder needs and future-proofing against technological obsolescence

The adoption of the Internet of Things (IoT) brings significant advantages but is not without challenges. Security is a primary concern due to the multitude of connected devices, necessitating robust protocols for data integrity. Interoperability issues arise from diverse device origins, demanding standardized protocols for seamless integration. Scalability is crucial as the number of connected devices grows, requiring adaptable infrastructure. Privacy concerns also loom large, necessitating clear regulations to safeguard personal data. Finally, cost implications can be a hurdle for smaller businesses in adopting IoT solutions. A comprehensive strategy addressing these challenges is essential for successful IoT implementation.

Ask Millenium Energy (milleniumenergy. biz) about a remote energy audit. A remote audit will allow you to identify how much energy you use, at what cost, and an overview of what options you may have for your very specific application, any tax benefits, or rebates that might be available. If you are interested in sustainable energy this is always where you start.

(1) Do the AS-IS study of existing infra impacting energy consumption directly or indirectly and get its energy audit done and documented. (2) Choose the IoT infra (smart meter, sensors, etc), communication protocols (WiFi, Zigbee, LoRaWAN, Bluetooth, etc) & software platform for your requirement. (3) Validate the proposed infra on a pilot system before final procurement to ensure its functionality, and accuracy followed by mass procurement (4) Collect and analyze the data from IoT devices using software for patterns, anomalies, and actionable insights into energy usage. (5) Integrate control and automation that uses the above insights to optimize energy usage. (6) User training for managing and maintaining the IoT infrastructures daily.

Here is a checklist: 1) Are there energy meters in the building? 2) Are the existing energy meters enough? 3) Define what exactly you want to measure 4) Are enough meters installed for this? 5) Check access to the individual measuring points 6) Define a communication plan 7) What current strengths flow at the measuring points? 8) How can I communicate with the main fiscal meter? 9) Are you thinking further than just measuring power consumption?