Background Story
As a major player in the hospitality industry, the client has taken the initiative to implement a solution for monitoring and managing energy consumption across its facilities in Jumeirah Beach Residences and Downtown Dubai. The client is eager to explore potential energy-saving opportunities to prevent the wastage of scarce energy resources due to inefficiencies across its facilities.
The client has engaged Ark Energy to digitize its energy management by monitoring energy performance, providing data analytics to optimize consumption, enabling automated energy and Measurement & Verification (M&V) reporting based on IPMVP standards, and integrating the energy management system into the Building Management System (BMS) to prevent data manipulation and ensure long-term data storage.
Problems
Some of the key concerns include:
Adopting a cloud-based energy management software globally is still achallenge for large organizations due to cyber threats
Lack of technological awareness and apprehensions regarding privacy andsecurity have raised a number of concerns for the end customers, therebyhindering global adoption
Main Objective
The focus of this activity was to integrate an energy management system thatwould tackle the following Client needs:
Monitors energy performance of equipment with machine learning
Provides data analytics essential to optimize energy consumption
Provides energy management consulting support to identify savings potential
Provides user-specific interface and smooth experience of dashboards &reports
Enables automated energy and measurement & verification reporting (IPMVP)
Verifies data quality and validates communication with field sensors
Integrates into BMS to avoid any data manipulation and stores dataindefinitely
Through Digitalization of Energy Management with Machine Learning analytics,the Client can monitor and manage their energy consumption and improve assetreliability
Approach
Ark Energy has developed and follows a proprietary methodology focused on Connect, Customize, and Go-Live. Below is a summary of the tasks undertaken in this initiative.
During the initial assessment, Ark Energy identified 75 essential preliminary data points, with the option to integrate up to 500 data points based on a digitalization assessment and the client’s preferences
Table 1
Tasks Completed
Tasks |
Task Number | Tasks Description |
1 | Digitalization Assessment |
2 | IT/OT Integration |
3 | Plant Onboarding |
4 | User Interface and User Experience Design (UX/UI) |
5 | Go Live |
Source: Ark Energy Analysis
Table 2
Critical Data Points Collected
Assets | Number of Data Points |
Water Pumps | 13 |
FAHUs | 17 |
Chillers | 2 |
MDB Energy Meters | 18 |
Pumps | 26 |
Heat Exchangers | 2 |
Tenant Energy Meters | 231 |
SMDBs | 52 |
Source: Ark Energy Analysis
A proprietary universal gateway with a data-capture API was integrated with the BMS to collect and transmit data to arkEMIS, linking sensor data and consolidating all sites onto a single, unified platform. Through UX/UI customization, Ark Energy ensured that arkEMIS was designed for a user-friendly and highly dynamic interface, enabling the visualization of key performance indicators (KPIs) and business metrics.
To ensure proper data governance, and in collaboration with client input, Ark Energy provided and implemented suggested access rights to ensure that the right data reaches the appropriate stakeholders while maintaining robust security
Table 3
Suggested Access Rights provided by Ark Energy ensure that the right data reaches the right person while maintaining proper security

Results
The results that were generated from the project include the following:
- One unified platform for all facilities, OEM-independent
- Live Energy dashboard and data capture and visualization available anytime, anywhere, on any device with customized user experience
- 100+ Meters and sensors condition assessment, and data quality validation
- Quick response to Standard of Comfort issues and Energy Management
- State-of-the-art data analytics functionalities (including efficient operations simulations) to enable ISO50001
- Automated notifications, alarm triggers, anomalies and drift detection
- Automated root-cause analysis and work orders with AI capability

