Every enterprise- big and small, consumes energy. Everything from basic lights and fans to HVAC units, servers and other high energy-consuming machines aredependent on electricity. Even a modest increase in energy efficiency can have a dramatic effect on company profits. Unfortunately, this is easier said than done. There are a number of challenges enterprises are presented with that keep them from realizing this opportunity.
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The first step to improving energy efficiency is to know your average consumption. However, this is not always easy to understand. An energy bill only gives the total units consumed. It does not elaborate on where the energy load is higher and lower.
Did you know that on average, around 30% of the energy on your overall bill can be attributed to HVAC systems?When it comes to such assets, as the unit gets older, its power consumption increases. But, this is not a figure you can understand by looking at energy bills. Thus, as an enterprise, it’s difficult to make the right decisions to boost efficiency. You may simply continue using an outdated asset instead of replacing it since outwardly, nothing appears to be wrong.
Similarly, facility managers may not have access to data about the relationship between energy consumption and time. For example, the organization may be consuming energy even when there are no employees in the building simply because no one switched off all the systems.
Simply having access to data is not enough. In order to make smart decisions about energy consumption, an enterprise must also be able to consolidate and analyze this data. They must be able to benchmark average energy consumption and spot patterns in energy usage.Data about energy consumption is often in many different forms and hard to track.
Moreover, the example, you may know energy a particular machine is using but this data needs to be compared to the machine’s historical energy consumption trends to see whether it is working at its optimal capacity or not. Compiling and assessing this data becomes even more difficult when an enterprise is spread over multiple sites.
When an enterprise is dependent on manual collection of data, its ability to measure, integrate and analyze data into mainstream sectors is limited and prone to error. It is hard for them to ensure accurate and continuous data collection.There are many human and institutional reasons for this. The person responsible may forget to do so. The meter may be tampered with. The person may make a mistake while writing down the meter reading. An unauthorized connection may be stealing energy, etc. A large building may have many electrical panels and hence confusion could arise as to the ownership of these panels.There may also be an absence of standardization in terms of units of measurement for energy use. Thus, the data collected can
only be considered an average assumption. In some cases, the electricity utility provider may take the meter reading but the bill may not be sent to the enterprise in time. Or, it may be sent to the wrong person! Without access to accurate data, it is impossible to improve on energy consumption trends.
An enterprise may have the data they need but if they do not have staff trained to understand the different types of data collected, to integrate all the aspects or to analyze and make a decision from this data, the data will be quite useless. Many enterprises do not have staff trained to track and improve the use of energy in the enterprise. The lack of in-house expertise or an inability to hire relevant expertise limits the actions an enterprise can take to optimize energy use. Without these experts, ensuring the participation of employees in energy optimization programs will be very difficult. It also makes monitoring and enforcing energy policies an expensive affair.
Yes, there is! Start by upgrading traditional energy meters to smart metersand connecting them to sensors that measure temperature, humidity, occupancy, etc. These can all be connected and monitored through an Internet of Things (IoT) gateway and go a long way in improving energy efficiency. Sensors can provide visibility to energy consumption trends and help enterprises formulate policies to limit energy usage without compromising on productivity.
Automated data collection makes it easy to consolidate data inputs from various sources and identify actionable insights for long-term planning. Smart meters make data collection about energy consumption easier and reduce the risk of errors. They offer a unified real-time view of energy consumption across multiple sites. Thus, they provide a continuous and accurate idea of the amount of energy being consumed.
Similarly, installing AI and Analytics based automated controlshelp with early identification of issues of wastage, breakdowns inferior power quality, etc at machinery, appliance and site level. When identified early, dealing with issues like this becomes simpler and faster.
If you are looking for solutions that can offer you insights into consumption, cost, maintenance data and much more, Bynry has the right solution for you. With our cutting-edge solution, you can make your enterprise energy efficient in no time.Read Casestudy