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Energy Simulation

Building energy simulation and analysis for construction. Calculate heating/cooling loads, evaluate envelope performance, optimize HVAC sizing, and ensure energy code compliance.

Why use this skill?

Optimize building performance with the Energy Simulation skill. Perform thermal analysis, calculate heating/cooling loads, and ensure energy code compliance easily.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/datadrivenconstruction/energy-simulation
Or

What This Skill Does

The Energy Simulation skill is a high-performance computational tool designed for construction engineers, architects, and building energy consultants. It provides a robust framework for modeling building thermodynamics, enabling users to evaluate envelope thermal performance, calculate peak heating and cooling loads, and size HVAC systems accurately. By leveraging standardized heat transfer equations and infiltration models, the skill helps professionals move beyond rule-of-thumb estimates to precise, data-driven decisions that ensure energy code compliance and operational efficiency.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/datadrivenconstruction/energy-simulation

Ensure your local environment has the necessary dependencies like numpy installed, as this skill performs complex calculations during the simulation process.

Use Cases

  1. Early-stage Design: Rapidly iterate on wall types and window-to-wall ratios to determine their impact on heating and cooling demand.
  2. Code Compliance: Generate thermal load documentation to satisfy building energy codes and environmental certifications like LEED or BREEAM.
  3. HVAC System Optimization: Accurately determine the required capacity for heating and cooling equipment based on site-specific climate data, preventing the common issue of oversized systems.
  4. Retrofit Analysis: Model the impact of insulation upgrades or window replacements on existing structures to estimate energy savings and return on investment.

Example Prompts

  1. "Calculate the design heat loss for a 500m² concrete building in Chicago with these envelope parameters: wall U-value 0.28, window U-value 1.2, assuming a design winter temperature of -18°C."
  2. "Compare the total heating load if I change the current brick wall material to a high-efficiency steel frame construction with 150mm insulation."
  3. "Analyze the effect of reducing the window-to-wall ratio from 30% to 20% on the cooling load for a summer design temperature of 32°C."

Tips & Limitations

This skill uses simplified physics models for rapid analysis. While it is excellent for early-stage design and rapid iteration, it should not replace comprehensive dynamic simulation software (like EnergyPlus or IESVE) for final compliance documentation in large, complex, or commercial projects. Ensure that climate data inputs are localized to the specific project site for accurate results. Remember that infiltration estimates are generalized; for high-performance airtight buildings, you may need to adjust the Air Changes per Hour (ACH) assumptions to reflect better construction standards.

Metadata

Stars1100
Views0
Updated2026-02-17
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-datadrivenconstruction-energy-simulation": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#construction#energy#hvac#thermal#engineering
Safety Score: 5/5

Flags: code-execution