Prolon VC2000 Series - Annex B (Math Function Examples)

Inthisannex,ascenarioispresented.Usingdierentcongurationspreviouslyexplainedinthisguide,wewillseethedierent
Math Function results, depending on which strategy is chosen.
Scenario
A rooftop unit is controlled with a PL-M2000-RTU Zoning Controller, and the system has 10x VAV zones.
Each zone creates its own individual demand, either heating or cooling demand, from 0 to 100%. Each zone also has its own
voting weight (for more details, see SECTION 3.1 CONFIGURE A ZONE DEMAND AND VOTING WEIGHT).
Note: In Prolon Focus, the heating demands are POSITIVE values, and cooling demands are NEGATIVE values.
Each of the 10 VAV zones has the following heating or cooling demands:
Zone #1: 100% Heating demand, voting weight of 1
Zone #2: 100% Heating demand, voting weight of 1
Zone #3: 75% Heating demand, voting weight of 2
Zone #4: 10% Heating demand, voting weight of 1
Zone #5: 0% demand, voting weight of 1
Zone #6: 25% cooling demand, voting weight of 2
Zone #7: 35% Cooling demand, voting weight of 1
Zone #8: 45% Cooling demand, voting weight of 1
Zone #9: 100% Cooling demand, voting weight of 1
Zone #10: 100% Cooling demand, voting weight of 2
In the Unit Controller:
•  The Cooling action will be driven by Math 1
• The Heating action will be driven by Math 2
(For more details, see SECTION 3.2 CONFIGURE A MATH FUNCTION)
Annex B (Math Function Examples)
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