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Case Study — JLL Hank & Medro Hi-Tech Systems: Corporate Energy Optimization
Case Study

JLL Hank: Optimizing Energy in Corporate Campuses for Sustainability

Industry: PropTech — Energy & Sustainability
Location: UK (London HQ)
Services: IoT • ML Predictive Energy • Generative AI • ESG
JLL Hank energy dashboard placeholder Energy dashboard, predictive graphs, IoT sensor layout.

Background

JLL Hank, an AI-powered energy platform under JLL Technologies, optimizes HVAC and energy operations for 1,000+ commercial buildings. In Late 2023, Medro Hi-Tech Systems enhanced Hank with IoT interoperability, predictive modeling, and generative AI simulations for ESG-compliant energy management at Royal London Asset Management’s 125,000 sq ft HQ in London.

Challenge

  • Volatile energy prices (+25% in 2024) increasing operational costs
  • Legacy HVAC wasted ~30% energy during occupancy fluctuations
  • Excess CO2 emissions ~1,000+ tons/year, £200K annual cost
  • Manual adjustment and limited fault detection led to inefficiency
  • Pressure to meet net-zero and ESG compliance mandates

Solution & Implementation

Core Tech

  • ML models ingested occupancy, temperature, CO2, and weather data
  • Predictive adjustments: pre-cooling/heating 30 minutes ahead
  • Fault detection for proactive maintenance and equipment longevity
  • Generative AI “what-if” energy scenario simulations

Deployment

  • 5-month rollout: sensor audit, AI tuning, live Siemens BMS integration
  • Edge gateways for sub-second latency
  • Real-time dashboards embedded via Power BI
  • UKGBC-certified carbon accounting

Technology Stack

ML Predictive Energy Models IoT Sensors Generative AI Simulation Power BI Edge Gateways Siemens BMS

Results & Impact

21%

Energy savings (£148K/year)

708%

ROI in 2 years

500

Tons CO2 reduced

+1–2 yrs

Extended equipment life

Operational Benefits

  • 95% automation of energy adjustments
  • Scalable to 5 additional corporate sites
  • Enhanced tenant retention via improved IAQ

Client Quote

“Medro's Hank fusion delivered green ROI we could bank on.”
— Facilities Manager, Royal London Asset Management

Key Takeaways & Future Outlook

  • Predictive AI enables ESG-aligned energy efficiency
  • Edge-integrated ML ensures sub-second real-time adjustments
  • Future: fleet-wide expansion with V2X charging by 2026
  • Target: 40% portfolio decarbonization, leading sustainable CRE innovation

Project: JLL Hank Energy Optimization • Client: Royal London Asset Management • Delivered by: Medro Hi-Tech Systems

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