IoT & AI Smart Building and Energy City Platform in Suwon City
(KOREA Government Project)
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Description

IoT & AI based Smart Energy Management Platform was deployed in public buildings in Suwon City to provide optimal management building facilities, environment, and energy using the urban 3D map and 3D spatial modeling. With the M&V (Measurement & Verification) engine using a standard algorithm, IPMVP (International Performance Measurement and Verification Protocol) as well as data intelligence technology with deep-learning, the platform can quickly measure energy performance and determine energy efficiency.
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Challenges

Interoperability: BAS protocol and IoT Protocol – Develop the hybrid smart gateway and deployed in local building Service for over the 100 buildings – Cloud service with 3D urban MAP for 100 Suwon-City’s 100 public buildings Data collection/processing and data security
Massive IoT device and LPWA(LoRa, NBIoT, LTE CAT M1) gateway technology
Process mass data transfer of facility energy data for more than 100 buildings
Data security with SSL/DTLS/Auth2.0
Energy saving – Verification of 15% saving of energy
Verification of energy saving – M&V with IPMVP in cloud
Tenant service – mobile tenant service (lighting/temperature control and IEQ service)
Commercial services – Currently, service for 100 Suwon-city public buildings
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Performance Targets

  • Key Performance Indicators (KPIs)
    Energy Saving: 30% (currently 23%)
    Reduce the Carbon emissions : 35% (currently 27%)
    Hyper Connectivity & Interoperability: BAS protocol
    (BACnet, Modbus)
    and IoT protocol (REST, MQTT)
    Prediction and Energy managing: AI engine
    Verification of performance: M&V
    Adaptive control/Messaging with AI
  • Measurement Methods
    Energy: M&V
    Hyper-Connectivity: Hybrid-Gateway
    Hyper-Intelligence with AI (Measure with real-time dash-board)

Impacts

Energy & Asset Prediction and managing the Energy & Asset failure Energy Managing·Saving(30%) & Reduce the Carbon emissions(35%) Reduce the administrative costs(50%)
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  • Energy & Asset Prediction and managing the Energy & Asset failure
    • Centralized goal management of energy & asset of complex buildings with AI engine
  • Energy Managing·Saving & Reduce the Carbon emissions
    • Lower and sustainable energy consumption, new employee models for efficiently running buildings and portfolio’s of buildings with Cloud AI-based IBMS/BEMS & IoT EMS (Energy saving 30 % , Reduce the carbon emission 35%)
  • Reduce the city administrative costs(50%)
    • Save TCO and improve management efficiency by collecting data from multiple city buildings/assets and managing the collected data by an integrated building/asset management system in a cloud IoT·AI platform. Provide value added services such as method to save energy consumption, preventing asset failures, and many other services by integrating and analyzing the building data (50 % target)