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The Hidden Goldmine in Buildings – Turning HVAC into a Grid-Ready Flexible Load; Interview with Bekzat Shamurzaev

This article discusses the integration of HVAC systems into the energy grid as flexible loads. It highlights a practical approach to optimizing existing HVAC systems for energy efficiency without compromising comfort or air quality.

JBy Jessica GrantSep 30, 20251 min read

This article discusses the integration of HVAC systems into the energy grid as flexible loads. It highlights a practical approach to optimizing existing HVAC systems for energy efficiency without compromising comfort or air quality.

HVAC systems can be adjusted to become flexible loads. During periods of lower electricity costs, buildings are pre-cooled slightly more than usual. When electricity prices rise, adjustments are made to use less energy while maintaining comfort within a specified range.

Peak Charges: Reducing the worst 15-minute monthly energy spike can lead to significant savings. Time-of-Use Shifting: Utilizing more energy when it's cheaper and less when it's expensive. Grid Payments: Demonstrating reduced usage during peak times can result in payments from utilities or aggregators.

Comfort and air quality are maintained by adhering to predefined rules, such as comfort temperature ranges and air quality limits. Adjustments are made incrementally to ensure they do not significantly impact the indoor environment.

This article discusses the integration of HVAC systems into the energy grid as flexible loads.
Jessica Grant · Thehackingpost

A monitoring system for power use and air quality. The capability to adjust settings like vent-air temperature and fan speed. A guideline for actions during price spikes while maintaining comfort and air standards.

Late Morning: Predictive adjustments are planned based on the day's forecast. Mid-Afternoon: Small adjustments are made in response to rising electricity prices. Peak Hour: Energy usage remains below previous spikes, maintaining comfort and air quality. Post-Peak: Systems gradually return to normal operations, with a report generated for analysis.

Effectiveness is verified through a comparative analysis of expected and actual energy usage, peak reduction, and maintenance of comfort standards. This data supports the receipt of financial incentives and builds confidence in the system.

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Future efforts will focus on enhancing heat pump controls for improved electrification and coordinating multiple buildings to enhance grid reliability and provide clean flexibility.

Bekzat Shamurzaev is an HVAC professional and founder of Flow X Solutions , specializing in AI and IoT strategies for energy efficiency and peak-demand reduction.

Based on reporting by TechBullion.

AI transparency. This article was produced with the assistance of artificial intelligence and published under human editorial oversight. AI systems can make mistakes. Read how we use AI (EU AI Act, Art. 50).
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