Advanced HVAC Design, Load Modelling and Equipment Selection Training Course

Course Introduction

Heating, Ventilation, and Air Conditioning (HVAC) systems play a critical role in maintaining indoor environmental quality, thermal comfort, energy efficiency, and process stability across commercial buildings, industrial facilities, healthcare institutions, data centers, airports, educational campuses, pharmaceutical plants, cleanrooms, and manufacturing facilities. Proper HVAC design and equipment selection directly influence occupant comfort, equipment reliability, operational costs, environmental sustainability, and regulatory compliance. This course provides participants with comprehensive knowledge and practical skills to design, model, analyze, and optimize advanced HVAC systems while ensuring efficient equipment selection, reliable operation, and long-term energy performance.

Modern HVAC systems must accommodate diverse operational requirements including variable occupancy, changing weather conditions, stringent indoor air quality standards, humidity control, process cooling demands, ventilation effectiveness, energy conservation targets, and carbon reduction initiatives. Improper load calculations, incorrect equipment sizing, inefficient air distribution, inadequate control strategies, and poor system integration can result in excessive energy consumption, reduced occupant comfort, increased maintenance costs, and shortened equipment lifespan. This course equips participants with proven engineering methodologies to accurately model heating and cooling loads, optimize HVAC system performance, and select equipment that delivers reliable, energy-efficient, and cost-effective operation.

The Advanced HVAC Design, Load Modelling and Equipment Selection Training Course integrates engineering theory with practical industrial and commercial applications to develop competencies in psychrometrics, heat transfer, thermodynamics, HVAC load calculations, airflow analysis, duct design, hydronic systems, chilled water systems, refrigeration principles, ventilation engineering, indoor air quality management, equipment selection, control systems, building energy modelling, reliability engineering, lifecycle asset management, and energy optimization. Participants will gain practical experience in conducting cooling and heating load calculations, selecting HVAC equipment, evaluating system performance, developing optimized HVAC designs, and implementing engineering solutions that improve energy efficiency and operational reliability.

The course also explores emerging technologies transforming HVAC engineering and intelligent building management. Participants will examine Industrial Internet of Things (IIoT), artificial intelligence, machine learning, digital twins, Building Information Modelling (BIM), Building Management Systems (BMS), computational fluid dynamics (CFD), predictive analytics, cloud-based energy management platforms, smart sensors, demand-controlled ventilation, advanced variable refrigerant flow systems, intelligent controls, and automated commissioning technologies. These innovations enable organizations to continuously monitor HVAC performance, predict equipment failures, optimize energy consumption, enhance indoor environmental quality, and improve engineering decision-making through advanced digital technologies.

Practical workshops, HVAC design exercises, load modelling calculations, equipment selection studies, building energy simulations, industrial case studies, troubleshooting sessions, and optimization projects are integrated throughout the course to strengthen participants' technical, analytical, and engineering decision-making capabilities. Participants will calculate heating and cooling loads, design air distribution systems, evaluate HVAC performance, optimize ventilation strategies, analyze energy consumption, select appropriate equipment, and apply internationally recognized engineering standards and industry best practices to real HVAC engineering projects.

Upon successful completion of this course, participants will possess advanced competencies in HVAC engineering, load modelling, equipment selection, building energy analysis, maintenance engineering, energy optimization, and lifecycle asset management. They will be equipped to improve HVAC system efficiency, reduce energy consumption, strengthen operational reliability, enhance indoor environmental quality, optimize equipment performance, extend system service life, and maximize the long-term value of HVAC infrastructure through world-class engineering and sustainable building practices.

Duration

10 days

Who Should Attend

• Mechanical Engineers

• HVAC Engineers

• Building Services Engineers

• Facilities Engineers

• Energy Engineers

• Project Engineers

• Design Engineers

• Maintenance Engineers

• Reliability Engineers

• Plant Engineers

• Electrical Engineers

• Commissioning Engineers

• Building Automation Engineers

• Facility Managers

• Maintenance Managers

• Energy Managers

• Engineering Consultants

• Operations Engineers

• Technical Operations Personnel

• Sustainability Engineers

Course Objectives

• Develop comprehensive knowledge of HVAC engineering principles, psychrometrics, heat transfer, and load modelling methodologies that improve indoor environmental quality, energy efficiency, equipment reliability, and operational performance.

• Apply internationally recognized engineering methodologies to design, evaluate, and optimize HVAC systems for commercial, industrial, institutional, healthcare, pharmaceutical, and specialized facilities.

• Perform detailed heating and cooling load calculations using advanced modelling techniques, occupancy analysis, building envelope characteristics, climate data, and process heat gain assessments.

• Design efficient air distribution, ductwork, hydronic, chilled water, ventilation, and exhaust systems that provide balanced airflow, pressure control, thermal comfort, and operational reliability.

• Select HVAC equipment including chillers, boilers, cooling towers, air handling units, pumps, fans, variable refrigerant flow systems, and terminal units based on engineering calculations and lifecycle performance criteria.

• Evaluate indoor air quality, ventilation effectiveness, humidity control, filtration systems, and air purification technologies to ensure compliance with health, safety, and environmental standards.

• Integrate Building Information Modelling, Building Management Systems, Industrial Internet of Things, artificial intelligence, digital twins, predictive analytics, and smart building technologies into advanced HVAC engineering practices.

• Optimize HVAC energy performance using building energy modelling, demand-controlled ventilation, variable-speed technologies, heat recovery systems, thermal storage, and advanced control strategies.

• Develop preventive, predictive, and reliability-centered maintenance strategies for HVAC equipment and building systems that improve operational availability, reduce maintenance costs, and extend equipment service life.

• Apply international engineering standards, ASHRAE guidelines, energy codes, sustainability frameworks, and environmental regulations governing HVAC design, operation, commissioning, and maintenance.

• Conduct engineering analyses including airflow calculations, pressure loss assessments, equipment performance evaluations, lifecycle cost analysis, and energy benchmarking to support continuous improvement initiatives.

• Strengthen engineering leadership and technical decision-making capabilities through practical workshops, industrial case studies, HVAC simulations, equipment selection projects, and building performance optimization exercises.

Comprehensive Course Outline

Module 1: Fundamentals of HVAC Engineering

• Principles of heating, ventilation, and air conditioning engineering

• Psychrometric processes supporting HVAC system performance analysis

• Heat transfer fundamentals affecting building thermal performance

• International standards governing HVAC engineering practices

Module 2: Building Load Modelling and Analysis

• Heating load calculations using engineering design methodologies

• Cooling load modelling considering occupancy and climate conditions

• Building envelope analysis supporting thermal performance optimization

• Internal heat gain assessment improving HVAC system sizing

Module 3: HVAC System Design Principles

• HVAC system configurations for commercial and industrial facilities

• Air distribution design supporting efficient thermal comfort

• Zoning strategies improving HVAC operational flexibility

• System integration methodologies supporting building performance

Module 4: Air Distribution and Duct Design

• Airflow calculations supporting balanced ventilation performance

• Duct sizing methodologies minimizing pressure losses and noise

• Air terminal device selection improving indoor air distribution

• Air balancing techniques supporting operational efficiency

Module 5: Hydronic and Chilled Water Systems

• Chilled water system design supporting cooling performance

• Hydronic network analysis improving thermal energy distribution

• Pump selection methodologies optimizing hydraulic efficiency

• Thermal storage integration supporting peak load management

Module 6: HVAC Equipment Selection

• Chiller selection based on performance and lifecycle requirements

• Boiler engineering supporting efficient heating applications

• Cooling tower sizing improving condenser system performance

• Fan and air handling unit selection using engineering calculations

Module 7: Indoor Air Quality and Ventilation

• Ventilation design supporting occupant health and productivity

• Humidity control methodologies improving indoor environmental quality

• Air filtration technologies for commercial and industrial applications

• Demand-controlled ventilation optimizing energy consumption

Module 8: Refrigeration and Heat Pump Technologies

• Refrigeration cycle analysis supporting HVAC applications

• Heat pump technologies improving building energy efficiency

• Variable refrigerant flow system engineering principles

• Refrigerant selection supporting environmental sustainability

Module 9: Building Energy Efficiency and Sustainability

• Building energy modelling supporting HVAC optimization

• Heat recovery systems reducing overall energy consumption

• Renewable energy integration within HVAC infrastructure

• Carbon reduction strategies supporting sustainable building operations

Module 10: Smart HVAC and Building Automation

• Building Management Systems supporting integrated HVAC control

• Industrial Internet of Things enabling real-time HVAC monitoring

• Intelligent sensors improving environmental performance management

• Automated commissioning enhancing system operational efficiency

Module 11: Artificial Intelligence and Advanced Digital Engineering

• Artificial intelligence applications in HVAC optimization

• Machine learning supporting predictive HVAC maintenance

• Digital twin technologies improving building performance simulations

• Computational fluid dynamics enhancing airflow design analysis

Module 12: HVAC Maintenance and Reliability Engineering

• Preventive maintenance strategies for HVAC equipment and systems

• Predictive maintenance using advanced condition monitoring technologies

• Reliability-centered maintenance improving equipment availability

• Failure analysis supporting continuous HVAC performance improvement

Module 13: Commissioning, Testing, and Performance Verification

• HVAC commissioning methodologies ensuring design compliance

• Performance testing verifying equipment operational effectiveness

• Air and water balancing supporting optimal system performance

• Measurement and verification supporting energy optimization initiatives

Module 14: Standards, Safety, and Regulatory Compliance

• ASHRAE standards supporting HVAC engineering excellence

• Building energy codes governing HVAC system design

• Safety requirements for HVAC installation and maintenance activities

• Environmental regulations affecting refrigerant and energy management

Module 15: Practical Workshops and Industrial Case Studies

• HVAC load calculation exercises using real building data

• Equipment selection workshops with engineering performance analysis

• Industrial case studies involving HVAC system optimization projects

• Group projects developing comprehensive HVAC design solutions

Module 16: Future Trends in HVAC Engineering

• Smart buildings supporting autonomous HVAC optimization

• Next-generation HVAC technologies improving energy performance

• Digital engineering transforming building environmental management

• Emerging innovations shaping the future of HVAC system design

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.