(© 2024 BACHER ENERGIE AG)
The Energy System design has been determined by BACHER ENERGIE AG with the assumed underlying input data for electricity, heat, cold demand, hourly sunshine for PV-Generation, hourly wind for wind generation, etc. and a few form-based input parameters. The following files decribe the resulting Energy System Design (See file: results_1.csv: How much kW/kWh-capacity is needed for local PV, remote Wind, Storage (local Battery, remote Gas/Hydro, local Hot Water), grid capacity and the optimal hourly operation of the designed Energy System (See all the other files with all details: How much energy PV/Wind generators goes into local electricity consumption, how much goes into hot water tanks, how much into Power2Gas? How much energy is bought from the market?) during each hour of a typical year, see also the descriptions at bacherenergy.ch.

All results (16.4MB) of the Smart System Design and hourly operation results for a whole year (download the .tar.gz-file; you must uncompress the file)

Please, be aware that all information comes as is and without any warranty. The underlying model makes many assumptions which can be explained to you. The model uses sophisticated data which you may want to change to adapt to your challenges and assumptions. The algorithm is state-of-the art. Please contact BACHER ENERGIE AG with an Email to info@bacherenergie.ch.
Due to the complex challenges in the process to find the balance between (future) data assumptions, model simplications, algorithmic abilities, real-world constraints and policy/regulatory environments, please, let us know if and how such results could be adapted for your own similar Energy Transition challenges. BACHER ENERGIE AG is open to any such thoughts. Many thanks.
You can contact us in your native language. Sie können uns auf Deutsch kontaktieren. Ou en Francais. Español. etc.

Information	Description	Variables
Input Parameters	Key parameters chosen by you in the initial web form	such as total electricity demand per year. This is then scaled to an hourly electricity demand.
Input	The specific costs for each technology per capacity	SpecCostPV_EURPerkW; SpecCostWind_EURPerkW; SpecCostGrid_EURPerkW; SpecCostBatt_EURPerkWh; SpecCostHotWaterStorage_EURPerkWh; SpecCostGasStorage_EURPerkWh
Input	The assumed prices for market energy	PriceMarket_EURperkWh

Information	Description	Variables
Output pdf-Files	Graph files for key outputs (and inputs such as hourly demand, sunshine, wind).
Output results_1.csv	The computed parameters for each Investment Period (i.e. sizes of needed capacities)

Output	How much of each technology needs to be installed (in total) in each IP period	PVInstalled_kW WindInstalled_kW; GridUsed_kW; InstalledBatteryStorageCapacity_kWh; InstalledHotWaterStorageCapacity_kWh; InstalledGasStorageCapacity_kWh
Output	How much electric energy needs to be bought or sold on the electricity market at market prices	ElectricityMarketEnergyBuySell
Output	How much PV and Wind Generation energy will be generated per year ine each IP	PVMaxGenerationTotal_kWh; WindMaxGenerationTotal_kWh
Output	What are the cost for the installed PV, Wind, Grid use and storage (Batteries, (Green) Gas storage, Hot Water storage) capacity per year in each IP period (the invested technologies are written off linearly over the expected use period)?	PVCapacityCostPerYear_EUR; WindCapacityCostPerYear_EUR; GridUseCostPerYear_EUR; BatteryCapacityCostPerYear_EUR; HotWaterStorageCapacityCostPerYear_EUR; GasStorageCapacityCostPerYear_EUR
Output	What are the costs for buying and selling excess energy to the market and buying deficit electricity from the market?	ElectricityMarketEnergyBuySellCostPerYear_EUR
Output	Optimization correctness related values	RemoteElecBalanceMoneyPerYear_EUR; LocalElecBalanceMoneyPerYear_EUR
Cumulated Output	The total yearly electricity demand, total yearly hot water demand, total yearly cooling demand	TotalElectricityDemand_kWh; TotalHotWaterDemand_kWh; TotalCoolDemand_kWh
Output csv-Files	Detailed tables decribing the intervals (hours, multiple hours, months)
Log json-File	Overview about the computed steps towards the result

In the file list below:

Information	Description
IP	Investment period
Inv.Period=1/2/3	Investment Period 1, 2 or 3
Batt, Wind, PV	Batt: Battery; PV: PhotoVoltaic Generator; Wind: Wind generator.
EURperkWhperY=40.0	40 EURO per kWh per Year
1/2/3.pdf	Results for investment period 1, 2 or 3
LOCALELEC HOUR detail results IP 1/2/3 OPTRUN 1/2/3.csv	Local (the prosumer community, house, etc.) electricity system results per hour (of typical year in each investment period 1, 2 or 3) ) for Investment period 1, 2 or 3
LOCALELEC INTERVAL detail results IP 1/2/3 OPTRUN 1/2/3.csv	same as before, but for quantities which have aggregated hourly values for dynamic length intervals of each day to reduce modelling size and computation time.)
LOCALHEAT MON detail results IP 1/2/3 OPTRUN 1/2/3.csv	same as before, but for quantities which are aggregated for a whole month (heat, cold).
	The progress file showing the steps from the input towards the solution
REMOTEELEC HOUR detail results IP 1/2/3 OPTRUN 1/2/3.csv	Typical remote (distant from the prosumer community, house, etc.) electricity system results per hour (of a typical year) for Investment period 1, 2 or 3
REMOTEELEC INTERVAL detail results IP 1/2/3 OPTRUN 1/2/3.csv	same as before, but for quantities which do or shall not vary from hour to hour, but be constant for longer time intervals (e.g. a week, etc.)