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arkEMIS / Residential

A Real-Time Energy Management Scenario - Low CO2 Levels

Identifying low CO2 levels in a residential building

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Overview
At Ark Energy, we continually encounter diverse challenges in energy management, and one recent case vividly illustrates the seamless synergy of our platform's modules. Integrating pre-defined alarms into the system, our team routinely reviews daily alerts for potential interventions. In this instance, the detected CO2 levels at 500 ppm signaled an excess supply of fresh air, prompting the need for optimization.
Analysis and Intervention
Recognizing the recommended CO2 level of 800-1000 ppm, we proposed a 10% reduction in the fresh air handling unit's speed, equating to a 5 Hz decrease throughout the year. To evaluate the potential impact before execution, we simulated the effects using our Operations Analyzer. The forecasted savings were estimated at approximately 30%, translating to 12,504.52 kWh for the specific unit.
Figure 01
Alarm received initiating an energy saving process

Source: arkEMIS
Operational Adjustment
Another proposed optimization involved temporarily shutting down the fresh air handling unit from midnight to 1:00 AM, aligning with periods of reduced load demand. This strategic measure aimed to curtail energy consumption while slightly elevating CO2 concentrations during non-peak hours.
Figure 02
FAHU Return CO2 levels vs. Threshold

Monitoring and Approval Process
Our weekly energy management sessions serve as a forum to present outcomes and seek approval for recommended actions. Once approved, a crucial step involves verifying the implementation by the Facility Management (FM) team. Customized dashboards track the execution of Energy Conservation Measures (ECMs), with a dedicated remark feature highlighting the implementation day for meticulous tracking.
Verification and Savings Tracking
Confirmation of on-site implementation triggers the activation of an action tracker, showcasing key metrics. This includes the ECM implementation date, consumption costs measured two weeks before and after the action, and the resulting savings—clearly presented in green for easy visibility.
Conclusion
In the dynamic landscape of energy efficiency, arkEMIS emerges as a transformative force, seamlessly amalgamating data-driven insights and actionable interventions. This live use case vividly illustrates our commitment to real-world impact.

From identifying elevated CO2 levels to implementing strategic interventions like adjusting fresh air handling unit speeds, the arkEMIS journey is a testament to our dedication to sustainability. Simultaneously, the platform ensures the practical implementation of recommended measures through transparent monitoring, fostering a tangible reduction in energy consumption.
 

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