
More data centres are being built, driven by the explosion of data and the processing power required for IoT (Internet of things) sensors and AI (Artificial Intelligence). The percentage of total power consumption by data centres is growing in parallel. It has become vitally important that data centres are optimized for energy efficiency and designed for environmental sustainability. The CDESS® course is aimed at providing knowledge of the standards and guidelines related to environmental sustainability, and how to move your data centre (existing or new) to a more environmentally sustainable design and operations.
Module 1 – Impact of Data Centres on the Environment Predictions in 2010 Current situation Outlook and commitments Module 2 – What is Environmental Sustainability The importance of sustainability Senior management commitment Environmental sustainability framework Sustainability policies Performance standards and metrics Information policies Transparency Awareness Service charging models Module 3 – Environmental Management Environmental sustainability framework (ISO 14001) Standards and guidelines – ISO 50001 / ISO 30134 Measurement and categories Baselining Trend analysis Reporting Module 4 - Data Centre Green House Gases Emissions The usage of CO2 equivalent The three scopes for GHG emissions Definitions for various emission scopes How to calculate Carbon emissions from the electrical grid How to calculate Carbon emissions from backup generator How to calculate Carbon emissions from refrigerant leakage How to calculate Carbon Usage Effectiveness (CUE) Module 5 – Power Efficiency Indicators Various efficiency indicators Power Usage Effectiveness (PUE) PUE measurement levels Factors affecting PUE Measurement points and intervals PUE in mixed source environments Measuring PUE in a mixed-use building PUE reporting Impact of PUE after optimising IT load Module 6 – Electrical Energy Savings (Electrical) Identifying the starting point for saving energy Sizing of power DC power Generators UPS systems Power Factor (PF) Energy savings on lighting Module 7 – Electrical Energy Savings (Mechanical) Energy savings on the cooling infrastructure Temperature and humidity setpoints Various energy ecient cooling technologies Energy savings on the airflow Liquid cooling Energy reusage PUE, ERE/ERF and Control Volume Module 8 – Electrical Energy Savings (ICT) Procurement IT equipment energy efficiency ITEEsv, SMPE, SMPO IT equipment utilisation Server virtualisation Open compute project Module 9 – Electrical Energy Savings (Data Storage) Data management Data storage management Data storage equipment efficiency Module 10 – Water Management Water Usage Effectiveness (WUE) Improving WUE Water usage at the power generation source Energy Water Intensity Factor (EWIF) Module 11 – Waste Management Waste management policies Life-cycle assessment (Cradle to the grave) 3 R’s for waste management Reduce Reuse Second-hand market Recycle Module 12 – Sustainable Energy Usage Sustainable energy sources Power purchase agreements Energy attribute certificates Renewable Energy Factor (REF) Matching renewable energy supply and demand Sustainable energy storage Carbon trading Module 13 – Automated Environmental Management Systems Use of AI and machine learning Load migration Data Centre Infrastructure Management (DCIM) solutions
Virtual E-Learning
2 days
Yes
Advanced
Training Programme provided by IVERSON ASSOCIATES SDN. BHD.

Artificial Intelligence Application

Carbon Footprint Management

Data Management

Energy Management and Audit

Environmental Management System

Green IT Practices

Internet of Things Management

Machine Learning

Renewable Energy

Robotic and Automation System

Sustainable Transportation Management

Systems-Based Solutions for Facilities

Waste Management