Optimizing your Energy Management
A unique design, calculation and analysis software tool for battery storage systems in combination with different energy sources and consumers.
What is xPSel?
xPSel stands for xelectrix product selector.
Its main goal is to optimize xelectrix storage system size based on technical constraints (power, energy, current, etc.)
and economical factors (LCOE, payback year, IRR, etc.).
xPSel gives the user the opportunity to build a new energy project from scratch that could consist of several energy sources (grid network, PV System and/or diesel generator) and consumers (residential, industrials, electric vehicles, cranes, etc. )
.
Energy Trading
Peak Shaving
Backup
Microgrid
Local Energy Community
Load Shifting
Diesel Generator Hybridization
Renewable Energy Optimization
Peak Power Boost
Input
General:
- country/location of the energy project (because of different energy and fuel costs, solar radiation
strength, etc.)
Grid Connection:
- information about previous power failures per year and their duration
- energy and power costs in different times and seasons
- grid connection limit and the additional required power
Photovoltaic:
- size of the present / planned PV system [kWp]
- acquisition costs and feed-in tariff
Diesel Generator (DG)
- size of the existing / planned DGs [kVA]
- lifespan and acquisition costs of the DGs
- diesel tank size [l] and fuel cost per liter
- maintenance costs / h and all other logistic costs
Your Consumers:
- number and power of planned EV charging stations
- load curve of the previous year, if available (if this is not possible, a load curve is created or a generic one is used)
Output
Product relevant Results:
- the best suited power box configurations in comparison
- expected lifetime of your Power Box
- battery cycles [cycles/a]
- optimum distribution of storage according to application (feed-in capping, PV optimization, peak shaving, back up reserves)
- max. stored and discharged energy per year
Economically relevant Results:
- comparison of different energy business models based on the energy source
- ROI (return on investment), IRR (internal rate of return) and and break-even point of each energy model
- Levelized Cost of Electricity (LCOE) of each system
Environmentally relevant Results:
- comparison between existing CO2 emissions and
CO2 emissions with Power Box / PV - comparison of fuel consumption (DG) with and without Power Box per year
- fuel consumption to generate 1 kWh with and without Power Box
Technically relevant Results:
- annual and monthly max. active power with DG /
PV / Power Box in comparison - average load factor with DG / PV / Power Box in comparison [%]
- generator efficiency at average load factor [kWh/litre]
- energy generated by hybridization (DG) [kWh]
- operating hours of DG with hybridization [h]
- technical lifetime of the DG [a]
- suggestions for downsizing the DG
