Hourly CO2 Emission Monitoring, Prediction and Optimization
Frequently Asked Questions
Hourly CO2 Emission Monitoring by BH Grid Solutions tracks real-time energy consumption and the carbon intensity of different energy sources. This allows for precise emissions monitoring and reporting, enabling organizations to achieve more accurate quantification of their Scope 2 emissions, avoid compliance risks, and better demonstrate the impact of their carbon reduction initiatives.
BH Grid Solutions offers streamlined data integration, connecting with various energy management systems (EMS), building management systems (BMS), IT management systems, and industrial protocols like IEC 61850, DNP3, Modbus TCP/IP, and OPC UA. It also integrates with microgrids, renewable sources, smart meters, and external data sources, providing a unified platform for comprehensive energy management and environmental performance tracking.
Predictive carbon emissions management by BH Grid Solutions leverages AI to provide detailed forecasts of energy consumption and carbon footprints. This enables proactive optimization of workloads and facility operations, helping organizations reduce energy use during peak hours, adjust cooling systems based on forecasts, make informed decisions about renewable energy usage, and continuously improve energy management strategies.
BH Grid Solutions offers regulatory-compliant reporting and benchmarking capabilities. It generates comprehensive reports that ensure compliance with regulations such as the EU's Corporate Sustainability Reporting Directive (CSRD) and Energy Efficiency Directive (EED). The platform calculates standardized metrics, tracks Scope 1, 2, and 3 emissions, analyzes energy consumption, and provides benchmarking against industry standards, aiding enterprises in meeting ESG disclosure requirements and optimizing performance.
BH Grid Solutions uses advanced AI optimization algorithms, including reinforcement learning, model predictive control, and multi-objective optimization. These algorithms dynamically adjust operational parameters, predict future states, detect anomalies, and optimize workload scheduling and demand response participation. This results in significant reductions in energy consumption and carbon emissions while maintaining or improving facility performance and reliability.
Get Precise About Your Decarbonization Goals
Optimize carbon emissions and energy costs with AI-powered monitoring, prediction, and strategic planning for sustainable operations.