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Load control Proof of Concept project at a hospital in Suncheon, Korea

From data to energy savings: how a hospital can achieve 7% energy cost reduction with AI-powered Self-Demand Response technology.

Company profile

Industry: Healthcare

Facility: 9-floor hospital

Energy profile: 300 AC units | 5 MW capacity

Air conditioning cost: USD 10,000 / month

Location: South Korea



The challenge
  • Rising energy bills driven by inefficient operation of air conditioning systems

  • Lack of visibility into real-time energy consumption patterns

  • Limited insight into what distributed energy resource could support cost reduction or peak demand management

  • No optimization of energy use across floors, zones, or different times of day

  • No data-driven decision-making tools to guide efficiency improvements



The solution: xVPP Powersight

xVPP Powersight is an advanced energy data analysis platform that provides granular monitoring, trend and cost analysis, energy resource simulation, abnormal peak detection, and AI-powered insights and recommendations.



The analysis:
  • AC setpoints and cooling performance

  • Thermal comfort based cooling setpoint

  • AC operation patterns per hospital floor, zone, and facility type (time of use and peak load timing and sizes)

  • AC operation mode



The results
  • Air conditioning energy usage is expected to decrease by about 9%, resulting in roughly 10% savings in air conditioning costs

  • Expanding load management to additional buildings in the hospital complex could yield approximately 7% energy savings on monthly bills

  • The overall monthly savings potential increases to up to 19% with maximum demand reduction

  • In a simulated scenario that includes load management and the integration of solar PV and battery ESS resources, the hospital could achieve monthly savings of up to USD 20,000 (equivalent to approximately 15–20% of its total electricity bill).

7%

estimated total cost savings potential

10%

cooling costs saved

19%

cooling costs saved incl. maximum demand reduction

$20,000

monthly savings simulated under solar & battery resource adoption scenario


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