Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Advance HVAC System Designing using Artificial Intelligence
Rating: 5.0 out of 5(47 ratings)
107 students

Advance HVAC System Designing using Artificial Intelligence

HVAC Designing using AI
Last updated 12/2025
English
English [Auto],

What you'll learn

  • How AI Revolutionize hvac Design
  • HVAC System Designing
  • HVAC Scheduling
  • Cost Estimation

Course content

5 sections40 lectures2h 38m total length
  • Introduction1:38

Requirements

  • HVAC Knowledge

Description

HVAC Design with Artificial Intelligence (ChatGPT + pyRevit)

Course Overview

A practical, project-based program that teaches you to design HVAC systems for commercial buildings and residential homes using Artificial Intelligence (ChatGPT) and pyRevit. You’ll learn to prompt AI for code-compliant inputs (ASHRAE/Manual-J/62.2/55 references), automate repetitive Revit tasks with custom pyRevit extensions, and deliver complete designs: loads, airflow (CFM), diffuser layouts, equipment selection, controls logic, chilled-water systems, schedules, and cost estimates.

Who This Is For

  • MEP/HVAC engineers, BIM modelers, and advanced students who want to design faster and smarter with AI.

  • Revit MEP users who want to build their own pyRevit tools and automate workflows.

  • Team leads who need repeatable AI prompt packs, QA/QC checklists, and shareable tools.

Outcomes (You will be able to…)

  • Commercial & Residential load design with AI: derive climate, envelopes, internal gains, ventilation, and comfort targets with standards-aware prompts; validate your AI outputs.

  • Automate Revit: build and deploy pyRevit tools (CFM calculator, diffuser placer/checker, CFM data extractor, equipment data writer, redesign helpers).

  • End-to-end design: sizing, zoning, diffuser selection/placement, equipment selection (DX/VRF/AHU/FCU/chillers), chilled-water network basics, schedules, and cost estimation.

  • Produce deliverables: a complete commercial floor HVAC design, a residential load report, your own signed pyRevit extension bundle, and a prompt cookbook you can reuse at work.

Prerequisites

  • Revit MEP (2021 or later), basic HVAC concepts (loads/CFM/SHR), comfort & ventilation basics.

  • Python fundamentals are helpful (no need to be expert)—we teach pyRevit patterns from scratch.

  • Access to ASHRAE references or local codes recommended for verification.

Tools & Stack

  • ChatGPT (LLM) for engineering prompting, code generation, standards lookups (with human verification).

  • Revit MEP + pyRevit (IronPython) for automation; WPF dialogs for clean UIs.

  • Excel/CSV for data exchange; Git (optional) for version control.

Syllabus at a Glance (12 Modules, project-based)

Module 1 — AI for HVAC: Foundations

  • AI’s role in engineering; when to trust vs. verify.

  • Building a Standards-Aware Prompting checklist (references to ASHRAE 55, 62.2, 90.1; ACCA Manual J).

  • Lab: Create a personal “Design Context Sheet” prompt (climate, building type, codes, units).

Module 2 — Residential Load with AI (Manual-J-aligned workflow)

  • Prompting for envelope assumptions, U-values, SHGC, infiltration/ACH, internal gains.

  • AI-assisted Room SHR, Supply CFM @ ΔT, and ventilation CFM.

  • Lab: Produce a Residential Load Summary (tons, kW, Btu/h) + AI Prompt Pack v1.

Module 3 — Commercial Load with AI (ASHRAE-aligned)

  • Space types, occupant density, lighting/equipment gains, ventilation by category.

  • Peak-load tuning and diversity factors.

  • Lab: Commercial Office Floor Load Sheet with AI-generated assumptions and engineer verification notes.

Module 4 — Revit MEP Setup: Spaces, Zones, Schedules

  • Best practices for spaces/zones, parameters, and views for automation.

  • Lab: Prepare a clean Revit template for automation (parameters, schedules, filters).

Module 5 — Intro to pyRevit (from zero to first button)

  • pyRevit architecture, buttons/panels, .addin manifests, logging & error handling.

  • Lab: Build a “Hello Project” tool with a small WPF form; package and load it.

Module 6 — CFM Calculator (pyRevit Tool #1)

  • Inputs: room loads/ΔT/SHR → Supply CFM; ventilation merge.

  • Revit API: read spaces/parameters, write back CFM, optional CSV export.

  • Lab: Deliver CFM Calculator v1 (per-space CFM + project summary table).

Module 7 — Diffuser Planning & Placement (pyRevit Tool #2)

  • Logic: diffuser count by CFM, pick sizes from catalog, throw/NC checks.

  • Assisted placement: snap to ceiling grids, spacing rules, tags.

  • Lab: Diffuser Planner v1 with a “CFM-to-Count” helper and placement preview.

Module 8 — CFM Data Extractor (pyRevit Tool #3)

  • One-click extraction of Supply/Return/Exhaust per room, per diffuser, and totals.

  • Auto-build Revit schedules and export to CSV/Excel for submittals.

  • Lab: Deliver CFM Extractor v1 + “Schedule Builder”.

Module 9 — Equipment Selection & Redesign Helpers (pyRevit Tool #4)

  • From loads/CFM to AHU/FCU/VRF selections; coil/ESP sanity checks.

  • “What-if” redesign: change ΔT, ventilation strategy, diffuser model; compare results.

  • Lab: Equipment Writer v1 that writes selected model & key parameters to Revit elements.

Module 10 — Controls Concepts + AI Prompting

  • Sequences of Operation (supply temp reset, occupancy modes, humidity control).

  • AI to draft S.O.O. and points lists, then engineer edits.

  • Lab: Produce a Controls Narrative and Points Schedule draft via prompting.

Module 11 — Chilled-Water System Basics

  • Chiller/primary-secondary pumps, coil loads to GPM, ΔT impact, head calc overview.

  • AI prompts to draft one-line diagrams and preliminary selections; engineer validates.

  • Lab: Create a CHW One-Line + Equipment Table; update Revit parameters.

Module 12 — Schedules, Costing & Packaging

  • Generate Revit schedules (equipment, diffusers, ducts), quantities, and cost templates.

  • AI-assisted cost baselining (line items + unit costs) and Gantt suggestions.

  • Lab: Produce a Cost/BOQ sheet and Project Schedule outline.


Capstone Projects (Portfolio-Ready)

  1. Commercial Office Floor
    End-to-end: AI-assisted loads → CFM → diffuser plan → equipment selection → controls narrative → CHW basics → schedules & cost sheet → pyRevit tool bundle.

  2. Residential 3-Bed Apartment/House
    Manual-J-aligned AI prompts → room-by-room loads, SHR, supply CFM, ventilation → selection & diffuser layout → final Residential Load Report.

Who this course is for:

  • Everyone