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Thermal Comfort PMV-PPD (ISO 7730 / Fanger)

Compute the thermal comfort indices PMV (Predicted Mean Vote, −3 cold..+3 hot) and PPD (Predicted Percentage Dissatisfied, %) per ISO 7730 / ASHRAE 55, using the Fanger equations. Inputs: air temperature Ta, mean radiant temperature Tr, relative air velocity v_ar, relative humidity φ, metabolic rate M (met; 1 met = 58.2 W/m²), clothing insulation Icl (clo; 1 clo = 0.155 m²·K/W), and external work W (defaults to 0). The clothing surface temperature Tcl is solved iteratively. Returns a 7-level ASHRAE sensation label.

json· JSON resultOpen tool

Quick start

Call this tool from your code in three languages.

cURL
curl -X POST 'https://api.elysiatools.com/en/api/tools/thermal-comfort-pmv' \
  -H 'Content-Type: application/json' \
  -d '{"ta":22,"tr":22,"tempUnit":"°C","var":0.1,"rh":50,"met":1.2,"clo":1,"work":0,"decimalPlaces":3}'

API reference

Send a POST request with your inputs as JSON. File parameters require a separate upload first.

Endpoint

HTTP
POST https://api.elysiatools.com/en/api/tools/thermal-comfort-pmv

Parameters

NameTypeRequiredDescription
tanumberYesDry-bulb air temperature Ta, in the selected Temperature Unit.
trnumberYesMean radiant temperature Tr, in the selected Temperature Unit.
tempUnitselectNo—
varnumberYesRelative air velocity v_ar in m/s. Typical office 0.1 m/s. 0–3 m/s.
rhnumberYes

MCP integration

Add this tool to your Model Context Protocol server so AI agents can list and call it.

Server configuration

Add this block to your MCP client configuration:

mcp.json
{
  "mcpServers": {
    "elysiatools-thermal-comfort-pmv": {
      "name": "thermal-comfort-pmv",
      "description": "Compute the thermal comfort indices PMV (Predicted Mean Vote, −3 cold..+3 hot) and PPD (Predicted Percentage Dissatisfied, %) per ISO 7730 / ASHRAE 55, using the Fanger equations. Inputs: air temperature Ta, mean radiant temperature Tr, relative air velocity v_ar, relative humidity φ, metabolic rate M (met; 1 met = 58.2 W/m²), clothing insulation Icl (clo; 1 clo = 0.155 m²·K/W), and external work W (defaults to 0). The clothing surface temperature Tcl is solved iteratively. Returns a 7-level ASHRAE sensation label.",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=thermal-comfort-pmv",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

List available tools

After connecting to the SSE endpoint, list the exposed tools:

tools/list
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list"
}

Call this tool

Invoke the tool by its id, passing arguments built from its parameters:

tools/call
{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "thermal-comfort-pmv",
    "arguments": {
  "ta": 22,
  "tr": 22,
  "tempUnit": "°C",
  "var": 0.1,
  "rh": 50,
  "met": 1.2,
  "clo": 1,
  "work": 0,
  "decimalPlaces": 3
}
  }
}
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Relative humidity φ in % (0–100).
metnumberYesMetabolic rate M in met (1 met = 58.2 W/m²). Seated/resting 1.0, office standing 1.2, light work 1.6–2.0.
clonumberYesClothing insulation Icl in clo (1 clo = 0.155 m²·K/W). Summer light 0.5, winter business suit 1.0.
worknumberNoExternal mechanical work W in met. Usually 0 for office / sedentary activity.
decimalPlacesnumberNo—

Response format

JSON result

JSON
{
  "key": {...},
  "metadata": {
    "key": "value"
  },
  "error": "Error message (optional)",
  "message": "Notification message (optional)"
}
Chain multiple tools in one session with a comma-separated toolId list, e.g. /mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp (max 20).

Questions or issues? Contact [email protected]