Simulate and evaluate the effect of on-site water reuse interventions on energy use and water and pollutant flows in a household, building, or community!
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High temporal resolution, enabled by diurnal water usage patterns
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Rapid simulation of C++ based model: < 1 min for 10 years @ 15 min resolution (depends on hardware platform)
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High flexibility
- From centralized to extremely decentralized: direct use of city water, selection of installed tanks and treatments
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Scalable from single household to district level (e.g. weighted rain correction factor for roads vs. roofs, increased pump energy for greater distances,…)
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Water and pollutant balance: incoming precipitation, storage tanks, usage in household, and infiltration, sewer, or collection by truck
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Simplified treatment for water reuse simulation based on treatment "specsheet": recovery, energy use, design flow, rejection (membranes), degradation
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Renewable energy simulation for water pumping + treatments
- Energy use is prioritized between demanding treatments
- Battery can be used in conjunction with solar panels
- Grid electricity is used as back-up
- Built-in solar insolation, cloud, and photovoltaic models if data is unavailable
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Simulation of garden irrigation based on solar irradiance and precipitation
- Scenario framework: Create different settings combinations or load from a file, simulate in bulk, and save settings, scheme, KPI, and data to files
- Dynamic scheme (see above) automatically adapts to user settings
- High modifiability, easily change up to 112 model variables, for example:
- Which water quality to reuse and for which applications
- Which tanks and treatments to install (including volumes, specifications,...)
- What to do with excess wastewater
- Built-in key performance indicators (KPI) for scenario analysis:
- Water independence on import, water independence on export, circularity, local water recharge, drought tolerance, energy independence
- Display KPI in graph (line or spider), choose which KPIs and which scenarios to display
- Evaluate simulation results in graphs for the volume and concentration of tanks, renewable and grid energy use, and battery capacity