Updates log

hydesign v1.4.1 (September 12, 2024)

All inputs can now be provided in the yml-input file, including e.g. latitude and longitude. All inputs can also be passed when instantiating the hpp-model - this will update the values if they are also present in the yml-file.
Both production and efficiency curves are supported for P2X. Use ‘efficiency_curve_type’ key word as either: [‘efficiency’, ‘production’] in your yml-file or hpp instantiation.

Explicitly selects netcdf engine for loading data sets to avoid recently occuring error on Colab.

New use case supported: Sizing for meeting minimum required green hydrogen production including bidirectional flow to/from the grid. Including a notebook example in the documentation. ## Improvements
Re-organized the code for more transparency

New use case supported: Sizing for meeting minimum required electrical load. Including a notebook example in the documentation. ## Improvements
Added inflation, depreciation and capex phasing in the financial calculations. The user now has the option to specify time varying inflation and depreciation of the assets. It is also possible to reflect if/how CAPEX is spent in the period before the plant is operational
Corrected the way taxes was accounted for

Fixed problem with battery degradation. Tref must be in Kelvin (@ruzhu, check if you have this problem). And added an if statement to ensure that the stress factor for temperature (S_T) is 1 for values lower than T_ref as suggested in .
Fixed problem in the EMS-long-term: The function operation_solar_batt_deg now uses continoious battery degradation and follows closer the planned prescribed operation (EMS-optimization results). Battery degradation component now representes the battery as a continious time-series instead of in piecewise constant health levels. An update in related components was required to remove the variable ii_time.
The dependency of the battery degradation on ambient temperature has been split into two submodules:
1. A permanent degradation factor (\(S_T\)) than increases for locations with mean temperature above T_ref = 25+273.15 [K].
2. A temporary drop in storage capacity when the instantaneous temperature drops bellow zero Celsium.
New wind degradation model: This method ensures a prescribed degradation on the capacity factor over the age of the wind farm by mixing two mechanisms of degradation:
1. A shift in the power curve towards higher wind speeds represents blade degradation and increasing friction losses.
2. A loss factor applied to the power time series represent increase in availability losses.

New specification of wind degradation curve in hpp_pars.yml. They can be non-linear.

wind_deg_yr: [0, 25]
wind_deg:    [0, 0.125] #25yr * 0.5%/yr
share_WT_deg_types: 0.5

New specification of PV degradation curve in hpp_pars.yml. They can be non-linear.

pv_deg_yr: [0,    25]
pv_deg:    [0, 0.125] #25yr * 0.5%/yr

Modification of the Net income definition in the finance model. The discount factor should not be used to reduce the income.

Net_income = (EBIT*(1-tax_rate))

EGO algorithm
- A more efficient design space search EfficientGlobalOptimizationDriver
- More information on how the search was done
Energy management system optimization with P2X
- New EMS CPLEX function ems_cplex_P2X, with additional inputs inluding price of Hydrogen price_H2, electrolyzer power capacity ptg_MW, compressor efficiency for hydrogen storage storage_eff, electrolyzer annual rate of degradation ptg_deg, high heat value hhv
Flexible input and modification of sizing problem
- Ability to give design variables of choice a fixed value in the sizing optimization
- Specifying the design variables in the upper layer of the code
P2X sizing added to the sizing optimization Parallel_EGO_P2X.py
The following design variables were added: electrolyzer power capacity ptg_MW