Solution overview:

HCLT solution for Sustainable operations named as Net Zero Intelligent Operations (NiO) is HCL's foremost sustainability-focused offering that provides end to end functionalities for monitoring, assessing of energy consumption and helps in reducing the energy consumption and carbon emissions and there by the overall carbon foot print.

The solution brings unique inter-comparability and normalization approach across multiple equipment, processes, and facilities. This solution leverages Azure Digital Twin and Azure ML and Cognitive services to achieve this. It delivers a set of functionalities to optimize energy consumption in a manufacturing environment at the enterprise level and help organizations reduce associated carbon emissions which contribute to net-zero goals.

Key Functionalities:

This solution will help in the following:

1. Helps in monitoring, normalizing, comparing, reducing the energy consumption and GHG emissions in real-time
2. Reduces carbon emissions by optimizing the energy intensity of assets and processes
3. Calculating, reporting, and identifying emission optimization potential for workspaces and shop floors
4. Centralizing uncompressed energy consumption data from different sources
5. Mapping received data into unified energy data model
6. Creating inter-comparability of energy consumptions at enterprise level
7. Identifying areas of potential optimization of energy consumption

1. Comply and Achieve

Other Features:

1. Data Source Support:

• OPC DA UA Support, Kafka utilized as an event broker and MQTT Support

3. Data Management: Master data on facilities and assets:

• Master data on facilities and assets ,real-time, non-aggregated collection, processing, and storage of data – Energy consumption, weather, event/alert, production data
• Energy Usage and Carbon Emissions Data Repository
• Data Collection Operations, Data Normalization, Synchronization, Inter Comparison Engine and Weather-based energy data normalization
• Normalization of energy consumption across multiple units of similar equipment within the same & across facilities
• Unified Energy Data Model with flexibility to accommodate new data and object types.

Key Benefits:

• Rapid shift in energy optimization measures – annualized energy savings of 7-10%
• Reduce CO2 output between 8-10% per year
• Achieve nearly 6-10% annualized cost savings
• Utilize real-time data for enterprise best practices
• Ensure regulatory compliance and standards like ISO 50.001