As per World Energy Outlook 2009 (IEA/OECD) most of the world’s co2 emissions reduction will come from end-use efficiency by 2030
Learning this we decided to test ioEYE Energy and find - How much end use efficiency managing energy with ioEYE Energy could bring? We set our battlefield, our new office where we moved in recently.
How much did we spend?
USD 2500 as one time cost for hardware. USD 85 / month on ioEYE Energy . And a little hard work and some basic analytical skills.
What did we achieve?
We achieved a 32% percent reduction in our energy bills. This amounted to INR 10,000 (USD 250) in saving per month. At this rate, we will recover our fixed costs in 12-13 months. Imagine the savings this can bring for large facilities that have higher energy consumption.
How did we do this?
We installed smart energy meters and breakers. We then hooked all of them to ioEYE Energy and monitored the data. We analyzed this data, via ioEYE Energy , on a regular basis and this is what we found…
Power Factor Issues – Analyzing the power factor graph for our office we realized that it was oscillating between 0.7 and 0.95. We investigated and found issues with the Automatic Power Factor Controller (APFC). We called up the APFC vendor and got it programmed correctly. After this, the power factor hovered close to 0.99. Good PF reduces heat loss and leads to voltage improvement.
Harmonics – Our total harmonic distortion (THD) was high. Culprit - our lighting system and computers. Isolating and separating these loads reduced harmonics. This reduces energy losses and nuisance tripping.
Earth Fault – On viewing our energy consumption breakup in ioEYE Energy , we observed that air conditioning was consuming energy even when not used. Problem - Earth fault. We set the main breaker of air conditioning to off and got an ELCB (Earth Leakage Circuit Breaker) installed.
Ghost Loads and Always on Power – Using ioEYE Energy we analyzed the load profile of our office. We discovered that even during non-operating hours, i.e. weekends and at night, our office was using more energy than required. Problem – Unnecessary loads left on (Ghost Loads). We set an alarm for this in ioEYE Energy. If during non-operating hours our energy consumption was high, it alerted our security guard via SMS. On receiving this SMS, he would check the entire premises and switch off unnecessary loads. Best, you create a checklist of loads he should check when he receives this SMS.
Optimized Lighting Voltage – We found that we were operating our lighting system at a higher voltage than required (240 V). Most lighting system can operate well at 210V. We used a step down transformer and set a lower lighting voltage (240 V to 210 V). This reduced lighting energy consumption by 12% without affecting the illumination level significantly.