Reverse_Osmosis_Plugin¶
Classes:
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Simulation of purified water production using reverse osmosis. |
- class pyH2A.Plugins.Reverse_Osmosis_Plugin.Reverse_Osmosis_Plugin(dcf, print_info)[source]¶
Simulation of purified water production using reverse osmosis.
- Parameters:
- Financial Input Values > Construction time > Valueint
Construction time of hydrogen production plant in years. Technical Operating Parameters and Specifications > Design output by year > Value : nd.array
Yearly output ignoring operating capacity factor.
- Technical Operating Parameters and Specifications > Operating capacity factor > Valuefloat, int
Operating capacity factor value between 0 and 1 or percentage value.
- Reverse Osmosis > Power demand > Valuefloat
Power demand of reverse osmosis plant of sea water.
- Reverse Osmosis > Average daily operating hours > Valuefloat
Average daily operating hours of reverse osmosis plant, used for scaling of reverse osmosis plant.
- Reverse Osmosis > Recovery rate > Valuefloat
Fraction of fresh water obtained from given volume of sea water.
- Returns:
- Power Consumption > Reverse osmosis consumption (yearly) > Valuend.array
Electricity demand of reverse osmosis plant on each year.
- Power Consumption > Reverse osmosis consumption (yearly) > Typestr
Type of power consumer, type is ‘flexible’, uses both stored and available power.
- Reverse Osmosis > Capacity > Valuefloat
Maximum sea water processing capacity per hour of reverse osmosis plant.
Methods:
Calculation of electricity demand for reverse osmosis based on yearly amount of hydrogen production.
Calculation of maximum sea water processing capacity per hour based on yearly sea water demand and average daily operating hours.