Using Buildings AI for Heating & Cooling Load Calculations and HVAC Equipment Sizing
Join us for a live webinar on how Buildings AI transforms heating and cooling load calculations. Learn why accurate load assessments are crucial for energy-efficient design. Watch Buildings AI in action with real-world case studies and explore how Agentic AI workflows and cloud computing make the load calculation process faster, easier, and more reliable.
Accurate heating and cooling load calculations are the first step towards designing energy-efficient buildings. These calculations are fundamental to optimizing HVAC system performance, ensuring occupant comfort, and meeting sustainability goals. Traditionally, these calculations are made either manually by using spreadsheet-based calculations, which are prone to inaccuracies, or using traditional software, which often falls short due to time-consuming workflows and limited flexibility. In this webinar, we'll introduce you to a smarter, faster, and more reliable way forward. With our new software Buildings AI we take the advantage of Agentic AI workflows and cloud computing to automate the load calculation process and streamline HVAC equipment sizing with unmatched efficiency and accuracy.
During this webinar, we will discuss:
Why load calculations matter : Understanding the critical role accurate load calculations play in energy-efficient HVAC design.
Introduction to Buildings AI : A brief overview of the application
Technology under the hood : How we've integrated EnergyPlus, AI workflows, and cloud computing
Product demo : A walkthrough of how Buildings AI simplifies load calculations and HVAC equipment sizing, from setup to results
Simplified inputs : How to use architectural DWG files, weather data, smart templates, and material libraries
Real-world application : Case studies associated with medium-sized academic institution buildings and commercial retail spaces
Live Q&A and feedback session
Join us to see how Buildings AI transforms load calculations from a tedious task into a streamlined, intelligent process—helping MEP professionals design smarter, faster, and with greater confidence.
Who should attend?
This webinar is ideal for HVAC professionals involved in system design, load calculations, and equipment sizing, including:
MEP Engineers working on HVAC sizing and system optimization
HVAC Consultants & Mechanical Design Engineers looking to accelerate load calculations with greater accuracy
Licensed Professional Engineers (PEs) responsible for mechanical system specifications
ASHRAE Certified HVAC Design (CHD)
HVAC Project Leads & Managers overseeing system performance and delivery timelines
Featured Speakers
Praveen Kumar
Product Marketing Manager - simulationHub
Praveen is a seasoned Product Marketing Manager at simulationHub, with over 15 years of experience in the field of Computational Fluid Dynamics (CFD). His expertise spans a wide range of applications, including Valves, HVAC, and more. As a Mechanical Engineer, Praveen has a solid technical foundation, complemented by a post-graduate certification in Product Management from IIM Indore. His extensive background allows him to bridge the gap between technical intricacies and market needs, helping businesses drive innovation and deliver impactful solutions.
Swapnil Dindorkar
BU Head - Buildings AI
Swapnil Dindorkar is an engineering simulation professional with more than 14 years of industrial experience in the application of flow simulations for the design of solutions toward building physics and electronic thermal management. He is currently in charge of the portfolio of simulationHub products and solutions within CCTech, which cater to sectors of building physics and whole-building performance modeling. He has a background in mechanical engineering with professional certifications in areas like project management, digital business management, and design of NZEB. Swapnil is always eager to discuss and conceptualize solutions for built environment design problems using technologies and services we develop at CCTech and simulationHub.
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