Case Studymachine learningbuilding efficiencygmdaurban resilience
Gurgaon Releases Cooling Action Plan To Cut Demand
8.0
Gurgaon has released its first Cooling Action Plan, commissioned by GMDA and prepared by Celestial Earth, outlining measures to curb rising cooling demand and emissions through 2050. The data-led plan uses a machine-learning tool (SPIBEAT) and targets passive design, green roofs, and district cooling to cut cooling energy use by up to 68% in some building types, aiming to align growth with the city's net-zero goals.
Key Points
- 1Uses SPIBEAT to calculate real building volumes and establish a precise baseline across three sectors
- 2Shows passive design and tighter envelopes can reduce cooling energy use up to 68% in some buildings
- 3Implies policymakers should prioritize envelope improvements, green roofs, and district cooling over HVAC-only upgrades
Scoring Rationale
Data-driven municipal plan with official backing; high practical utility but limited geographic scope and sector-specific impact.
Sources
Public references used for this report.
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