Measurement and Results
Calculate Energy Savings
We not only design our buildings efficiently, but we also monitor the buildings accurately and continuously to make sure the efficiencies are maintained over time. Measurement and verification has played a vital role in the evaluation and management of new technologies and energy conservation measures at Infosys, for both new and existing buildings. The energy team measures the consumption of all the assets in a building in real- time as well as on cumulative basis. Energy usage in a typical Infosys building can be categorized into HVAC, lighting, computing, and miscellaneous. When it comes to evaluating operations, new technologies, or identifying energy saving opportunity; measuring only the input energy is not sufficient. The team measures the system output, so that they have the equipment/system efficiency to evaluate systems, and to take informed decisions.
For all the Infosys buildings, energy consumption of all the HVAC equipment/systems in the building along with their outputs is measured. For example, we measure energy consumed as well as tonnage (TR) produced by chillers and balance of plant to establish chiller level as well as plant level efficiencies. These efficiency numbers are used to continuously verify design vs. actual performance and review operations.
Lighting and computing energy consumption are measured at a very granular level. Infosys has a sophisticated floor-wise energy consumption monitoring system and use this data to identify the number of lights and computers operating in every floor, every wing in the building. This data helps us establish the efficiency of the day lighting design and its operation in building, as well as to identify and reduce wastage.
Data Analysis & Tracking
Central command centre in Bangalore
Smart building monitoring
Identifying and eliminating energy wastage
Continuous efficiency tracking of equipment
M&V in Infosys buildings help the energy team perform advanced diagnostics. We use peak energy data to verify estimates that were made at the time of design against actual peak performance. This data has helped us better design our new buildings. For example, using best designs with M&V Infosys have been able to reduce our peak design watt/sqft from 6.5 watt/sqft to 3.5 watt/sqft. M&V allows for substantial savings in capital cost as well as operating cost.
Our Central Command Center in Bengaluru helps us remotely monitor and optimize our building operations. We now manage over 11 million sq. ft. of smart buildings, energy management systems, solar PV systems, data center power usage effectiveness, battery-management systems, energy consumption for sewage treatment plants, and weather stations for their performance across our campuses.
Operations data flowing into the command center from various systems across different campuses is used to review and optimize operations, drive resource conservation, perform fault detection and diagnostics, and ensure a high level of comfort and indoor air quality to the building occupants. For example, chiller-plant performance data from all chiller plants across Infosys campuses in India is compared on a weekly basis for optimization. This data also helps us validate our current design and improve designs for future buildings and systems.
We have upgraded our existing energy management system to a more powerful and capable Central Energy Management System, an enterprise-level energy monitoring and information tool. We have added over 600 new energy meters, and integrated energy meters in third-party applications like the building management systems, chiller-plant managers, diesel generation-set SCADA systems, taking the total number of integrated energy meters across campuses to 2,500. We have now installed HT energy metering systems at campus sub-station level for all campuses for detailed energy analysis and optimization. GPRS technology was used for communication for sub-stations that were located remotely where wired connectivity was not available.
The integration of all energy meters from various systems and locations is allowing us to compare and benchmark buildings and sub-systems performance across different locations. We have started using this data to identify new areas of improvements for driving energy conservation. Metrics such as per capita energy use, energy performance index for buildings, ‘office’ and ‘after-office’ energy use are used to identify opportunities for further investigation.
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