PIPENET Spray/Sprinkler – Advanced Topics – Training Webinar

We are pleased to invite you to a free training webinar, held on different days in various time zones for your convenience

PIPENET Spray/Sprinkler module is the global leader and standard software for hydraulic analysis of fire protection systems in accordance with NFPA rules. We are pleased to invite you to webinar

PIPENET Spray/Sprinkler – Advanced Topics

Webinar agenda:

1.Pumps:

Why are there three options for pump curves? What do degeneration factors mean? How can we estimate required pump sizes? How do I switch pumps on/off?

2. Virtual nozzles for deluge systems:

What is the advantage of using them? When must we avoid using virtual nozzles? How to model systems using elastomeric deluge valves? How can we switch on/off banks of nozzles?

3. Combining sub-systems:

Why are firewater ring mains and deluge systems modelled separately? Why is it important to combine sub-systems to create a global system? What preparatory work must I do for combining sub-networks? How can I use copy/paste to create networks quickly?

4. Loops and High Points:

What tools does PIPENET offer for eliminating elevation errors? When is it important to input high points in a single pipe?

5. Block and Break status in pipes:

What is the purpose of block and break? Why does block sometimes lead to failure to calculate? Why may I wish to use break? What is the accurate way to model a break?

6. Debottlenecking techniques:

Sorting. Colouration. Creating and using a path.

7. Autolayout

For free participation please register in the time zone which is most conveniet for you:

Europe, Middle East & Africa

Thursday, 27 January 2022, 10 am GMT

(10 am London)

North America & Latin America

Tuesday, 01 February 2022, 4 pm GMT

(10 am Houston)

Asia, India & Australia

Thursday, 03 February 2022, 7.30 am GMT

(3.30 pm Singapore)

For further information, please contact us at pipenet@fishvan.com

We look forward to seeing you online soon!

PIPENET – Leading the Way in Fluid Flow Analysis