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Measurement & Verification /

Eliminate Data Discrepancies in M&V Reporting for a Major Tower in DIFC

Our technical expertise has led to reduce data discrepancy in M&V reporting for a retrofitted tower in DIFC

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Background Story


The tower is recognized as one of the most iconic structures in the United Arab Emirates (UAE). It is an 80-story skyscraper located in the Dubai International Financial Centre (DIFC) and is a mixed-use building designed for offices, residential, and retail purposes. Given the condition and capacity of the tower at the time, there was an opportunity for significant improvements through the integration of advanced, contemporary technologies and upgrades to the current equipment and systems.​

With the goal of reducing their overall energy consumption, the client reached out Ark Energy to run an Energy Efficiency Retrofit Project, as well as Delta-T Rehabilitation. The objective of this program is to reduce the client's energy consumption, lower their operational costs, eliminate Delta-T surcharges. After implementing the energy efficiency retrofit, the ESCO commenced the measurement and verification (M&V) reporting process. It was observed that the ESCO is not accurately publishing the monitored data in the M&V report, which is affecting the overall reporting figures and causing delays in the M&V review process.


Challenge


The issue arises because the ESCO is importing extracted data directly from their Energy Management Information System without performing data cleansing. This is leading to significant problems during the review of the M&V report, both in terms of timeliness and the accuracy of reported figures.


Main Objective


The primary objective is to accurately publish the monitored data, reduce the M&V review time, and precisely reflect the actual energy consumption figures.


Approach


The Ark Energy team, acting as the client consultant, collaborated with both the Client and the ESCO to implement a strategy aimed at reducing data discrepancies. This approach was thoughtfully designed to improve the accuracy and reliability of M&V reporting, with a primary emphasis on accurately reflecting the actual data. Key measures implemented as part of this effort include the following:
  • Connect arkEMIS to client BMS systeM
  • Establish a tool to compare and validate the data extracted from ESCO EMIS with data in arkEMI
  • Automate the tool to directly identify sources of discrepancies, enabling the replacement of incorrect values with the correct ones


Results


The results that were generated from the project include the following:
  • Reflecting precisely the figure
  • Reduce the review time of M&V report by 75%
  • Improve the overall reliability of the M&V reporting process, minimizing the risk of errors in future reports
     

 

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