Jul 29,2024

017 - The Next Generation of Smart HVAC Systems

 

The Next Generation of Smart HVAC Systems

 

Course Number: 017

 

Fee: Free

 

Length: 4 Hours

 

Credits: This course qualifies for 4 PDH (unstructured) and 4 CEU (structured) technical learning credits issued by most US State Engineering Regulatory Organizations and all Canadian Provincial and Territorial Engineering Regulatory Organizations.

 

Online Self-Directed Format: Primarily Text supplemented with Illustrations and Video

 

Course Description (Syllabus):

 

In an era where energy efficiency and sustainability have become paramount, the heating, ventilation, and air conditioning (HVAC) industry stands at the forefront of technological transformation. As climate concerns intensify and energy costs rise, there is an urgent need for innovative solutions that enhance operational efficiency while minimizing environmental impact. The integration of advanced technologies such as the Internet of Things (IoT), Big Data analytics, immersive realities, and artificial intelligence (AI) is revolutionizing how HVAC systems are designed, monitored, and maintained. This course delves into the critical role these technologies play in maximizing efficiency within HVAC systems, addressing both the theoretical frameworks and practical implementations that drive success in this dynamic field.

 

Understanding the complexities of modern HVAC systems requires a comprehensive exploration of their components and the myriad challenges they face. As buildings become more sophisticated and energy demands fluctuate, the necessity for enhanced efficiency becomes clear. The course will highlight the importance of leveraging IoT for real-time monitoring and control, harnessing Big Data for predictive analytics, applying immersive realities for training and maintenance, and utilizing AI for intelligent system design and management. By examining these technological advancements, participants will gain valuable insights into optimizing HVAC performance, reducing operational costs, predictive maintenance, and complying with regulatory requirements. Ultimately, this course aims to equip professionals with the knowledge and skills needed to lead the HVAC industry into a more sustainable and efficient future.

 

Learning Outcomes: By completing this course you will learn:

 

Introduction

 

* Definition and Components of HVAC Systems

* Overview of Emerging Technologies in HVAC Systems

* Maximizing Efficiency

* Environmental Impact

* Economic Benefits

* Regulatory Requirements

 

IoT in HVAC Systems

 

* IoT Fundamentals

* IoT Connectivity and Communication Protocols

* Application of IoT in HVAC Systems

* How to Integrate IoT into Existing HVAC Systems

* Types and Suppliers of IoT Sensors, Devices and Platforms

 

Big Data Analytics for HVAC Optimization

 

* Understanding Big Data

* Characteristics of Big Data

* Data Sources, Storage and Management for HVAC Systems

* Analyzing Big Data for HVAC Systems

* IoT, Big Data Integration Software for HAVC Systems

 

Immersive Realities in HVAC Systems

 

* Introduction to Immersive Realities in HVAC Systems

* Virtual Reality (VR) in HVAC Systems

* Augmented Reality (AR) in HVAC Systems

* Mixed Reality (MR) in HVAC Systems

* Creating a Digital Twin for HVAC systems

* Software for Creating Immersive Realities in HVAC Systems

 

Artificial Intelligence (AI) in HVAC Systems

 

* AI Basics

* AI Algorithms and Models in HVAC Systems

* Energy Management Systems

* Predictive Analytics for Maintenance

* Optimizing the Design of HVAC Systems

 

Building an AI Model for Designing and Managing HVAC Systems

 

* Training an AI Model

* Specialized Datasets for HVAC AI Models

* Software Tools for Collecting and Processing Data for AI Model Training

* Software Tools and Frameworks for Building AI Models

* Incorporating AI Models into Existing HVAC Control Systems

 

Intelligent Control Systems (ICS)

 

* Overview of Intelligent Control Systems (ICS)

* Interoperability and Standards

* Integration Of Control Systems into Existing HVAC Systems

* Intelligent Software Platforms for the Control of HVAC and Building Management Systems

* Real-World Examples and Case Studies

 

Future Trends and Innovations in HVAC Control Systems

 

* Renewable Energy Integration in HVAC Systems

* Edge Computing in HVAC Systems

* 5G Connectivity in HVAC Systems

* Sustainability and Green HVAC Systems

* Zero-Energy Buildings

 

Who Should Take This Course:

 

Engineer students and Mechanical, Civil, Electrical, Facility and Environmental engineers less familiar with the use of IoT, Big Data, Immersive Realities and AI in the design and management of HVAC Systems and engineers who wish to update their knowledge of these rapidly evolving technologies in this field of engineering.

 

Course Instructions:

 

ENROLLMENT: You must be registered and logged into the Engineer eLearning Centre website to access this online, self-directed course.

 

Once you are logged into your Engineer eLearning account click “Browse Courses” to find this course. Click Enroll and confirm you wish to enroll.

 

Once you have confirmed your enrollment you will be returned to your account “My Courses”. Click Enter Course in course profile box. You can enter the course at any time and as many times as you wish. There is no time limit as to when you must complete this course. To access the course learning content click the module headings in the side menu.

 

Credit Options

 

After completing this course you have the option of either receiving eMETA PDH or CEU credit(s) or both. eMETA credits qualify for Unstructured and Structured CEU technical learning credits required by most US State Engineering Regulatory Organizations and all Canadian Provincial and Territorial Engineering Regulatory Organizations)

 

To receive your eMETA CEU credit you will be required to take an automated quiz.

 

Instructions on how to receive your credit(s) and download your PDF Certificate(s) are provided in the side menu of this course. Your credits will also be registered in your Engineer eLearning Centre account. You can download a Transcript of all credits earned in the Engineer eLearning Centre by clicking the Transcript tab in your account.

 

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