Example: Using AI Tools to Recommend Design Strategies - Office 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 250,000 SF 20-story office tower (with retail spaces on the first two floors) in Chicago.

  • 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 20-story Chicago office tower, the best overall package is a high-performance envelope, a dedicated outdoor air system (DOAS) with energy recovery, and an all-electric central heat-recovery plant that serves hydronic terminals. The retail podium should run on its own tenant-metered water-source heat pump loop. Below are the reasoning, the alternatives, and the tradeoffs.

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Design context

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Passive and natural strategies (do these first)

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Active system options

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Pros and cons

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Stakeholder scorecard (relative, ● = best)

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Recommended package