> For the complete documentation index, see [llms.txt](https://docs.betterbuilding.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.betterbuilding.io/support-and-training/other-support/webinars/speckel-webinar-archive/airflow-networks-j1v5-tm59-and-natural-ventilation.md).

# Airflow Networks: J1V5, TM59 and Natural Ventilation

The [Airflow Network Mode](broken://pages/DApyfnSgy08TkItRs001)l offers a comprehensive approach to simulating the performance of natural and forced air distribution systems within building, with a particular emphasis on multizone mixed mode or natural ventilation outcomes.

Typically, methodologies such as [CIBSE TM59](broken://pages/bTYb2MBDua0ol1XIcbrE) or the incoming J1V5 Verification Method use airflow networks to establish overheating risk or theoretical heating and cooling loads.

On the 16th of May, Darren O'Dea (Director) provided a practical overview of Speckel's new air flow network features that enable projects to understand and model detailed natural ventilation strategies for compliance and beyond.

{% embed url="<https://www.loom.com/share/cd7603ed10ec40ec866f374efee28a0e?sid=febb10fd-4df6-4022-941d-2e21039ffb21?hide_owner=true&hide_share=true&hide_title=true&hideEmbedTopBar=true>" %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.betterbuilding.io/support-and-training/other-support/webinars/speckel-webinar-archive/airflow-networks-j1v5-tm59-and-natural-ventilation.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.