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With rising energy costs and increasingly stringent energy-saving and emission-reduction policies, building energy optimization has become a key aspect of digital transformation for enterprises. In the face of energy wastage and equipment inefficiency that are invisible to the naked eye, how can business managers accurately identify and tap into the "invisible energy-saving potential"? The answer is exactly:Energy SCADA System (Energy SCADA)The
The core role of SCADA in energy management is to digitize the energy consumption of buildings. Real-time monitoring, analysis and optimizationIt can help enterprises to continuously improve energy efficiency and form a closed-loop energy efficiency improvement mechanism. It can help enterprises to continuously improve energy efficiency, form a closed-loop energy efficiency improvement mechanism, and truly implement smart energy saving.
Through the SCADA platform, the building's Electrical, HVAC, lighting, etc. systems The system can monitor and control all aspects of energy consumption, and provide automatic alerts and intelligent adjustments in the event of abnormal fluctuations or energy wastage. This data-driven energy management model not only effectively reduces costs, but also helps companies meet various energy-saving regulations (e.g., France's Tertiary Energy Efficiency Decree, China's "Double Carbon" standard, etc.).
BMS is the core infrastructure of energy SCADA, which collects building operation data through a network of distributed sensors and actuators, and regulates HVAC, lighting and other equipment in an automated manner.
A well-established BMS typically includes:
Environmental SensorsTemperature, CO₂, brightness, etc.
Enforcer: Valves, Thermostats, Lighting Control Modules
controllers: parsing data, triggering control logic
Communication Agreement: BACnet, Modbus, etc.
HMI Human Machine Interface: Visual monitoring and parameter setting
According to Energies Dev, intelligent BMS control can reduce energy consumption by as much as 30%This is especially true for high energy consumption scenarios such as HVAC.
In the SCADA architecture, sensors and smart metering devices are the core of the "sensing layer" of energy monitoring.
High-frequency energy-consuming data collection and remote transmission can be realized through multiple types of sensors (power, heat, motion, etc.) and IoT communication technologies (LoRaWAN, Sigfox).
Focused control is required during deployment:
Accurate mapping of key energy consumption points
Sensors near major energy-consuming equipment to improve representativeness
Real-time data upload to SCADA to support predictive maintenance
This approach significantly reduces the risk of downtime and equipment failures, and enhances the reliability of energy management.
Modern Energy SCADA platform integration:
Real-time monitoring
Trend Analysis
Data Modeling
Visualization
Helps managers to quickly pinpoint building energy consumption problems and develop improvement strategies.
An ideal SCADA system should have:
Real-time Alarms: Instant alerts for energy abnormalities
Multi-source data analysis: Electricity, gas and water analysis
Highly interoperable: Seamless integration with BMS/building equipment
Compliance Support: Compliance with EU BACS regulations, etc.
HOSCO Panorama SCADA Platform Adopting modular architecture and open communication interface, it can flexibly integrate architectural and industrial equipments, and open up the complete chain from data collection, visual display to energy consumption analysis, thus truly realizing energy transparency.
In complex commercial buildings, energy wastage is often the result of subtle deviations in a number of areas. For example:
Improper HVAC settings
Lighting not automatically adjusted according to occupancy
Data omissions lead to analytical bias
Modeling and algorithmic analysis through SCADA can reveal:
Energy efficiency KPI deviation
Energy flow imbalance between lighting and air conditioning systems
Early warning of potential waste through predictive algorithms
The Panorama SCADA platform enables cross-system energy consumption correlation analysis to help managers identify "deep inefficiencies" and continuously improve overall energy efficiency.
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