Green Data Center Cooling System Retrofit and Performance Verification Intensive Course

Course Introduction

Data center cooling systems are essential to maintaining the thermal stability, equipment reliability, and operational continuity of modern digital infrastructure. As computing density increases and energy efficiency becomes a strategic priority, organizations are under growing pressure to modernize cooling infrastructure, reduce electricity consumption, improve water efficiency, and demonstrate measurable sustainability improvements. The Green Data Center Cooling System Retrofit and Performance Verification Intensive Course provides a structured approach to assessing existing cooling installations, selecting retrofit technologies, planning implementation, and verifying operational performance after upgrades. Participants will learn how to connect engineering improvements with energy performance indicators, reliability requirements, financial considerations, and environmental objectives while maintaining the availability of critical computing services.

Retrofitting an operational data center presents challenges that differ significantly from designing a new facility. Existing buildings may have constrained equipment layouts, aging chillers, inefficient air distribution, poorly configured containment, inadequate instrumentation, limited electrical capacity, and cooling systems that no longer match current server workloads. Implementing changes without understanding these conditions can increase operational risk, disrupt maintenance access, or produce disappointing efficiency gains. This course examines methods for conducting cooling infrastructure assessments, reviewing historical energy and temperature data, identifying airflow restrictions, evaluating cooling capacity, and establishing reliable baseline conditions. Participants will explore how to prioritize retrofit opportunities according to expected savings, implementation complexity, operational risk, equipment compatibility, and the need to maintain service continuity.

Green cooling retrofits can involve a combination of mechanical, electrical, controls, and facility improvements. These may include high-efficiency chillers, variable-speed pumps and fans, optimized chilled-water distribution, improved air containment, cooling tower upgrades, economizers, heat exchangers, direct liquid cooling, rear-door heat exchangers, and advanced control systems. The appropriate solution depends on server heat loads, rack density, climate conditions, humidity requirements, available water resources, facility design, and existing infrastructure. Participants will examine the engineering principles behind these technologies and learn how to assess their suitability through thermal analysis, hydraulic calculations, airflow evaluation, equipment selection, and lifecycle cost comparisons. The course emphasizes integrated design decisions rather than isolated equipment replacements, helping participants identify improvements that deliver meaningful performance gains without introducing unacceptable reliability risks.

Performance verification is critical because installed equipment efficiency does not automatically translate into whole-facility energy savings. Chiller performance, pump and fan power, air distribution, cooling setpoints, control sequences, server utilization, weather conditions, and facility operating practices all influence overall results. Participants will learn how to establish measurement boundaries, select appropriate instrumentation, validate sensor accuracy, develop energy baselines, and compare pre-retrofit and post-retrofit performance under representative conditions. The course explores key indicators such as Power Usage Effectiveness, cooling system energy consumption, cooling capacity utilization, temperature compliance, airflow effectiveness, and water-related efficiency measures where applicable. It also addresses measurement uncertainty, weather and workload normalization, seasonal variation, data quality, and the importance of documenting assumptions when reporting energy savings or environmental benefits.

A successful cooling retrofit must preserve operational resilience throughout design, construction, commissioning, and ongoing operation. Cooling equipment changes can affect redundancy, maintenance windows, control interactions, electrical loading, water systems, and the ability to manage abnormal operating conditions. Participants will examine implementation strategies for live facilities, including phased installation, temporary cooling arrangements, rollback planning, change control, contractor coordination, and risk-based commissioning. They will also explore the role of building management systems, data center infrastructure management platforms, automated fault detection, predictive maintenance, and digital analytics in improving cooling performance over time. Cybersecurity, control-system access, equipment interoperability, spare-part availability, and vendor support arrangements are considered as essential elements of a sustainable retrofit programme.

By completing the Green Data Center Cooling System Retrofit and Performance Verification Intensive Course, participants will be equipped to manage cooling improvement initiatives from initial assessment through engineering design, implementation, commissioning, and verified performance reporting. They will develop practical capabilities in thermal diagnostics, energy analysis, technology evaluation, retrofit planning, operational risk management, control optimization, measurement and verification, and lifecycle performance improvement. The programme supports professionals seeking to reduce cooling energy demand, improve thermal stability, manage water and carbon impacts, strengthen infrastructure resilience, and demonstrate credible sustainability outcomes without compromising the availability or performance of critical data center services.

Duration

10 days

Who Should Attend

• Data center facility managers responsible for cooling infrastructure, thermal performance, energy consumption, maintenance planning, and operational continuity.

• Mechanical and HVAC engineers involved in chiller systems, chilled-water networks, cooling towers, pumps, fans, heat exchangers, and airflow management.

• Data center infrastructure engineers responsible for thermal design, equipment layouts, rack density, containment systems, and cooling capacity planning.

• Energy managers and sustainability professionals responsible for energy audits, efficiency programmes, carbon reporting, water stewardship, and environmental performance.

• Retrofit project managers coordinating engineering design, procurement, installation, commissioning, contractors, budgets, schedules, and implementation risks.

• Commissioning and testing engineers responsible for functional verification, control sequence testing, cooling capacity checks, thermal mapping, and performance acceptance.

• Building management system and data center infrastructure management specialists responsible for monitoring, controls integration, alarm configuration, and operational analytics.

• Electrical engineers assessing the interaction between cooling plant, backup power systems, variable-speed drives, electrical distribution, and facility redundancy.

• Data center operations managers responsible for maintaining uptime, managing cooling-related incidents, coordinating maintenance windows, and approving operational changes.

• Measurement and verification specialists developing energy baselines, performance indicators, normalization methods, and evidence-based savings assessments.

• Procurement and contract management professionals selecting cooling equipment, negotiating performance requirements, and managing retrofit contractor obligations.

• Critical infrastructure consultants supporting cooling assessments, decarbonization initiatives, engineering studies, retrofit design, and performance optimization.

• Cloud infrastructure and colocation operators managing high-density computing environments, AI workloads, server growth, and changing thermal requirements.

• Water management and environmental professionals evaluating cooling water consumption, heat rejection methods, water reuse, and environmental impacts.

• Technical assurance, PMO, and risk professionals overseeing design reviews, change control, quality assurance, commissioning evidence, and project acceptance.

Course Objectives

• Develop a comprehensive understanding of green data center cooling systems, retrofit strategies, thermal management principles, and energy performance improvement opportunities.

• Conduct cooling infrastructure assessments using thermal measurements, equipment data, energy records, airflow observations, hydraulic information, and operational histories.

• Establish credible baseline conditions for cooling energy consumption, temperature compliance, cooling capacity, airflow effectiveness, and relevant water performance indicators.

• Evaluate cooling retrofit technologies, including efficient chillers, variable-speed equipment, containment improvements, economizers, liquid cooling, and advanced control systems.

• Perform preliminary engineering and financial assessments to compare retrofit options according to efficiency, capacity, capital cost, lifecycle cost, reliability, and environmental impact.

• Develop retrofit implementation plans that coordinate engineering design, procurement, equipment installation, operational constraints, safety requirements, and service continuity.

• Apply thermal, airflow, hydraulic, and controls analysis techniques to identify inefficiencies and determine appropriate cooling system optimization measures.

• Design commissioning and performance verification procedures covering equipment functionality, control sequences, cooling capacity, energy use, and thermal compliance.

• Establish measurement and verification frameworks that account for baseline quality, sensor accuracy, operating conditions, weather, workload variation, and measurement uncertainty.

• Strengthen operational resilience through redundancy assessment, maintenance planning, risk management, change control, contingency arrangements, and safe commissioning practices.

• Integrate building management systems, data center monitoring platforms, analytics, and automated fault detection to improve ongoing cooling performance and maintenance decisions.

• Prepare a practical retrofit and verification roadmap with measurable targets, acceptance criteria, reporting procedures, and continuous improvement actions.

Comprehensive Course Outline

Module 1: Fundamentals of Green Data Center Cooling Systems

• Examine data center thermal management principles, heat generation, rack density, equipment operating limits, airflow requirements, and cooling system reliability.

• Compare air-cooled, chilled-water, direct expansion, evaporative, hybrid, and liquid-assisted cooling architectures in different data center environments.

• Analyze the relationship between IT equipment heat loads, cooling capacity, airflow distribution, humidity control, heat rejection, and facility energy consumption.

• Establish the connection between cooling optimization, infrastructure availability, operating expenditure, water consumption, carbon emissions, and sustainability objectives.

Module 2: Existing Cooling Infrastructure Assessment and Thermal Diagnostics

• Inventory chillers, cooling towers, pumps, fans, air handling equipment, computer room air conditioning units, piping, valves, controls, and associated instrumentation.

• Review equipment operating histories, maintenance records, energy bills, alarm logs, temperature trends, design documents, and current operating sequences.

• Conduct thermal and airflow assessments to identify hotspots, bypass airflow, recirculation, poor containment, uneven cooling distribution, and underutilized equipment.

• Develop a baseline assessment report identifying performance gaps, critical constraints, retrofit opportunities, data limitations, and priorities for further engineering investigation.

Module 3: Cooling Energy Baselines and Performance Indicators

• Establish measurement boundaries for cooling plant energy, distribution equipment, heat rejection, water consumption, and other relevant facility cooling loads.

• Calculate and interpret Power Usage Effectiveness and cooling-related performance indicators while distinguishing facility-wide metrics from subsystem efficiency measures.

• Develop energy baselines using reliable metering, operating schedules, IT load data, environmental conditions, and documented assumptions.

• Identify baseline limitations involving missing data, inaccurate sensors, changing workloads, seasonal effects, and differences between design and actual operating conditions.

Module 4: Cooling Retrofit Strategy and Technology Selection

• Identify retrofit measures such as chiller replacement, pump and fan upgrades, airflow improvements, cooling setpoint optimization, control modernization, and heat exchanger enhancements.

• Evaluate free cooling, air-side and water-side economization, heat recovery, and alternative heat rejection methods according to climate, water availability, and facility design.

• Assess direct-to-chip liquid cooling, rear-door heat exchangers, and other liquid-assisted technologies for high-density computing and AI infrastructure where technically appropriate.

• Compare technology options using engineering feasibility, expected energy savings, installation risk, maintainability, equipment compatibility, and lifecycle financial analysis.

Module 5: Airflow Management, Containment, and Rack-Level Optimization

• Analyze hot-aisle and cold-aisle arrangements, containment effectiveness, perforated tile placement, blanking panels, cable obstructions, and airflow pathways.

• Identify bypass airflow, recirculation, pressure imbalances, uneven rack temperatures, and other conditions that reduce cooling effectiveness or create thermal risk.

• Develop practical airflow improvement plans covering containment, sealing, rack layout, supply airflow, return-air management, and coordination with IT equipment changes.

• Verify airflow improvements through temperature mapping, pressure measurements, airflow observations, and assessment of rack inlet temperature compliance.

Module 6: Chillers, Pumps, Cooling Towers, and Heat Rejection Optimization

• Evaluate chiller performance using relevant efficiency measures, part-load behavior, operating temperatures, condenser conditions, and equipment performance data.

• Analyze chilled-water distribution, pump head, flow rates, differential pressure, valve positions, and the opportunities for variable-flow operation.

• Assess cooling tower and heat rejection performance considering ambient conditions, approach temperature, fan operation, water treatment, and maintenance requirements.

• Develop equipment optimization and replacement strategies that consider redundancy, capacity margins, maintainability, energy use, water demand, and compatibility with existing systems.

Module 7: Liquid Cooling and High-Density Compute Infrastructure

• Examine direct-to-chip cooling, rear-door heat exchangers, liquid distribution units, coolant distribution systems, and facility water interfaces for high-density workloads.

• Assess rack heat density, cooling fluid requirements, allowable temperatures, flow rates, pressure limits, equipment compatibility, and leak detection arrangements.

• Coordinate liquid cooling design with facility piping, heat rejection equipment, rack configurations, maintenance access, and IT hardware warranties.

• Establish testing procedures for flow verification, leak detection, temperature stability, alarms, isolation valves, maintenance conditions, and safe recovery from cooling faults.

Module 8: Controls Engineering, Setpoint Optimization, and Automation

• Review cooling control architectures, temperature and pressure sensors, variable-speed drives, valve actuators, control loops, supervisory systems, and alarm management.

• Develop control optimization strategies for supply air temperature, chilled-water temperature, differential pressure, equipment sequencing, and variable-load operation.

• Examine how sensor placement, calibration, control deadbands, short cycling, conflicting control loops, and poor sequencing affect cooling energy consumption and reliability.

• Design functional tests for control sequences, equipment staging, alarm thresholds, failure responses, manual override, and recovery to normal operating conditions.

Module 9: Energy Efficiency, Water Stewardship, and Carbon Reduction

• Evaluate cooling-related energy demand and identify opportunities to reduce fan power, pump power, compressor energy, heat rejection losses, and unnecessary simultaneous operation.

• Assess water consumption and water management implications of evaporative cooling, cooling towers, humidification, water treatment, and alternative cooling architectures.

• Estimate carbon impacts using appropriate electricity emissions factors, energy savings assumptions, and relevant lifecycle considerations.

• Compare efficiency improvements against water availability, local climate, maintenance requirements, environmental impacts, and broader sustainability priorities.

Module 10: Retrofit Engineering, Construction Planning, and Live-Site Delivery

• Develop engineering scopes covering equipment replacement, piping changes, electrical modifications, control upgrades, containment work, instrumentation, and associated construction activities.

• Coordinate design reviews, equipment procurement, contractor responsibilities, work permits, delivery logistics, installation access, and facility shutdown constraints.

• Develop phased implementation plans with maintenance windows, temporary cooling arrangements, contingency measures, rollback criteria, and operational communication procedures.

• Apply change control, risk assessments, construction quality inspections, commissioning hold points, and documentation management throughout the retrofit lifecycle.

Module 11: Electrical Integration, Redundancy, and Operational Resilience

• Evaluate cooling plant electrical demand, motor loads, variable-speed drives, distribution capacity, backup power interfaces, and the implications of retrofit equipment changes.

• Review redundancy configurations, including N, N+1, and 2N arrangements, and assess how equipment modifications affect resilience and maintainability.

• Develop failure-mode scenarios involving chiller outages, pump failures, power loss, control system faults, water supply disruption, and cooling distribution problems.

• Establish contingency procedures, recovery priorities, alarm escalation, maintenance bypass arrangements, and operational safeguards for protecting critical IT loads during retrofit activities.

Module 12: Instrumentation, Monitoring, and Data Quality Assurance

• Select and verify temperature, humidity, pressure, flow, electrical power, energy, and water metering instruments required for performance monitoring.

• Assess sensor placement, calibration status, measurement accuracy, data resolution, communication reliability, and the suitability of instrumentation for verification purposes.

• Integrate cooling measurements with building management systems, data center infrastructure management platforms, energy dashboards, and operational reporting tools.

• Establish data validation procedures for missing values, abnormal readings, timestamp alignment, inconsistent units, duplicate records, and discrepancies between meters and equipment logs.

Module 13: Commissioning, Functional Testing, and Thermal Verification

• Develop commissioning plans covering installation inspections, equipment startup, functional checks, control verification, operating mode tests, and performance acceptance.

• Conduct thermal mapping and environmental verification to assess rack inlet conditions, temperature distribution, humidity compliance, airflow effectiveness, and cooling stability.

• Test equipment sequencing, load response, redundancy transitions, alarm handling, failure recovery, control overrides, and safe operation under representative conditions.

• Document test procedures, observed results, defects, corrective actions, retesting outcomes, commissioning certificates, and approval evidence for each relevant system.

Module 14: Measurement and Verification of Energy Savings

• Establish a measurement and verification plan defining the baseline period, retrofit boundary, performance variables, metering arrangements, calculation methods, and reporting responsibilities.

• Compare pre-retrofit and post-retrofit performance while accounting for IT load, weather conditions, operating schedules, equipment changes, and other relevant influences.

• Apply appropriate normalization methods and uncertainty analysis to distinguish measured energy savings from variations caused by external conditions or incomplete data.

• Prepare verification reports that state assumptions, measurement limitations, confidence considerations, energy outcomes, water impacts where measured, and corrective actions required.

Module 15: Financial Evaluation, Vendor Management, and Lifecycle Optimization

• Develop retrofit business cases incorporating capital costs, energy savings, maintenance costs, water-related costs, operational risk, equipment life, and replacement timing.

• Compare simple payback, lifecycle cost, net present value, and other appropriate financial measures using transparent assumptions and sensitivity analysis.

• Define vendor requirements covering equipment performance, commissioning support, controls integration, warranty conditions, service response, spare parts, and technical documentation.

• Establish lifecycle optimization plans covering preventive maintenance, performance trending, fault detection, equipment upgrades, periodic recommissioning, and continuous improvement.

Module 16: Integrated Green Cooling Retrofit and Performance Verification Capstone

• Develop a comprehensive retrofit proposal for an existing data center, covering baseline assessment, technical constraints, selected interventions, implementation stages, and operational risk controls.

• Prepare a performance verification framework with energy and thermal indicators, measurement boundaries, sensor requirements, acceptance thresholds, and data quality procedures.

• Analyze a simulated post-retrofit dataset to assess cooling energy consumption, thermal compliance, equipment performance, operating conditions, and evidence of improvement.

• Present a final engineering and management report containing retrofit recommendations, cost and benefit assumptions, commissioning results, verified performance findings, outstanding risks, and long-term optimization actions.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.