Example: Using AI Tools to Recommend Design Strategies - Residential Tower

Use AI tools to explore and evaluate potential HVAC design strategies.

Example Prompt

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Recommend several HVAC design strategies for a 50,000 SF 10-story residential tower in San Jose, California.

  • Provide recommendations for heating, cooling, and ventilation strategies.
  • Consider how natural ventilation, passive heating, and passive cooling can be used to conserve energy.
  • Consider different layout options - central heating and cooling equipment versus separate heating and cooling located in individual units or rooms.
  • Consider different distribution options - air-based systems versus fluid-based systems.
  • Consider different stakeholder goals, including construction cost, construction speed, materials availability, carbon footprint, operational energy use, and aesthetics.

Create a table that contrasts the pros and cons of each strategy.

Results from Claude

For a tower this size, I’d lead with an envelope-first, mixed-mode approach, then pick between in-unit heat pumps (lower cost, faster to build) and a central hydronic heat pump plant (better long-term energy, carbon, and aesthetics), with balanced ERV ventilation either way.

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Project context that drives the choices

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Passive strategies (apply to every option)

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Active system options

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Ventilation options

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Pros and cons

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Stakeholder comparison

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Recommended packages

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Early items to resolve