Energy Management and PUE Optimization for Engineers
إدارة الطاقة وتحسين مؤشر فعالية استخدام الطاقة للمهندسين
- Next date
- 25–29 January 2027Muscat
- Fees from
- £2,950per delegate
- Formats
- Classroom · Online4 sessions
- Duration
- 5 daysCertificate
Overview
Energy is one of the largest operating costs of any data center, and power usage effectiveness has become the best-known indicator of facility efficiency. Yet PUE is often measured inconsistently, compared unfairly between sites or improved on paper without real savings. As AI workloads raise power demand and grid capacity becomes scarce, every kilowatt saved in cooling and electrical losses can be redirected to IT equipment. Engineers need a rigorous, measurement-based approach to understand where energy goes, which improvements truly work and how to sustain gains without compromising reliability.
This course provides engineers with practical methods for energy management and PUE optimization in data centers. Participants learn how to define and measure PUE and related metrics correctly, build an energy baseline, and break down losses across cooling, power distribution and supporting systems. The course covers airflow management, temperature setpoint optimization, chiller plant and economizer improvements, UPS and transformer efficiency, liquid cooling benefits and heat reuse. It also explains measurement and verification, energy management systems aligned with international standards, water and carbon metrics, business cases for investment, and building an improvement program that delivers lasting results.
Objectives
- Define and measure PUE and related efficiency metrics consistently and correctly
- Build an energy baseline and break down losses across facility systems
- Identify and prioritize cooling, electrical and operational energy savings
- Optimize temperature setpoints, airflow and economizer operation safely
- Apply measurement and verification methods to confirm real energy savings
- Develop business cases and an energy improvement program for a facility
Who should attend
Facility, energy and mechanical engineers, operations managers, sustainability leads and data center consultants.
Training methodology
The course is data-driven and highly practical. Participants work with real metering data from operating data centers to calculate PUE at different levels, build energy baselines and identify where losses occur. Exercises include airflow assessment, setpoint optimization studies, chiller plant efficiency analysis and UPS loss calculations. Savings are estimated and then tested with measurement and verification methods. Each participant prepares a short business case for one improvement measure, and teams develop an energy improvement program for a sample facility. Each day ends with a quiz and review.
Programme outline
Day1Energy Metrics and Measurement
- Where energy goes in a data center and why efficiency matters more than ever
- PUE definition, measurement levels and common mistakes in reporting it
- Partial PUE, water usage effectiveness and carbon usage effectiveness metrics
- Metering architecture and the minimum measurements needed for reliable metrics
- Seasonal variation, partial load effects and fair comparison between facilities
- Limitations of PUE and complementary metrics for IT and AI efficiency
- Exercise: calculating PUE from metering data and identifying measurement gaps
Day2Energy Baseline and Loss Analysis
- Building an energy baseline with weather and IT load normalization
- Breaking down cooling energy into fans, pumps, chillers and heat rejection
- Electrical losses in transformers, UPS systems, power distribution and lighting circuits
- Energy audits, walk-through surveys and data collection in operating facilities
- Benchmarking against design values, similar facilities and recognized industry best practice
- Identifying quick wins versus capital projects in the loss breakdown
- Exercise: developing an energy loss breakdown for a sample data center
Day3Cooling Optimization
- Airflow management, containment and the elimination of bypass and recirculation
- Raising supply air and chilled water temperatures within safe IT limits
- Fan speed control, pressure setpoints and matching cooling to actual load
- Chiller plant optimization, staging, condenser water control and extended economizer hours
- Benefits of liquid cooling and warm water systems for overall facility efficiency
- Heat reuse opportunities and how they affect energy and carbon metrics
- Exercise: estimating annual savings from setpoint and airflow management improvements
Day4Electrical Efficiency and Operations
- UPS efficiency curves, loading levels and the use of high-efficiency modes
- Transformer losses, right-sizing and the choice of efficient distribution voltages
- Lighting, auxiliary loads and the energy used by offices and support buildings
- Operating practices that waste energy, including running more redundant equipment than needed
- Balancing energy efficiency with reliability and the level of operational risk the business accepts
- Energy management systems and the structure of international energy management standards
- Exercise: calculating annual losses for two alternative UPS operating strategies
Day5Verification, Business Cases and Programs
- Measurement and verification principles and practical methods for confirming real energy savings
- Building financial business cases with payback, net present value and risk
- Prioritizing energy measures into a realistic multi-year improvement program with clear owners
- Engaging operations, IT and management teams to sustain energy improvements
- Reporting energy, water and carbon performance to stakeholders and clients
- Team project: presenting an energy improvement program for a sample facility
- Final assessment and discussion of energy priorities in participants' facilities
Dates and fees
Fees are in GBP. per delegate.
Certificate
Every delegate who attends the full programme receives a Harfard Technology certificate of completion stating the course title, duration, dates and venue.
Frequently asked questions
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