Advance HVAC System Designing using Artificial Intelligence - HVAC Designing using AI
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What you'll learn
- How AI Revolutionize hvac Design
- HVAC System Designing
- HVAC Scheduling
- Cost Estimation
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)
Commercial Office Floor
End-to-end: AI-assisted loads → CFM → diffuser plan → equipment selection → controls narrative → CHW basics → schedules & cost sheet → pyRevit tool bundle.
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