Hydrogen pipeline

Technology ID: HYDROGEN_PIPELINE

Input energy interface, with default energy:

• CONSUMPTION: hydrogen

Output energy interface, with default energy:

• PRODUCTION: hydrogen

Technology behaviors:

• OPTIM_PATHWAY

• OPTIM_PMAX

• GRADIENTS

Technology parameters:

ID	Label	Unit	Behaviors	Description
CAPEX_OVERNIGHT	CAPEX Overnight	Euro/MW		-Overall capital expenditure (only used for pathway optimization)
DEINVEST_COST	Deinvest cost	Euro/MW		Deinvest cost (only used for pathway optimization)
LIFETIME	Lifetime			Lifetime of the asset (only used for pathway optimization)
YIELD_INVEST	Yield of investment	%		Yield associated with investment
INSTALL_MAX	Max installation	MW	OPTIM_PATHWAY	Max installation (only used for pathway optimization)
DECOMM_MAX	Max decommissioning	MW	OPTIM_PATHWAY	Max decommissioning (only used for pathway optimization)
CAPEX	CAPEX	Euro/MW/Year		Capital expenditure (only used for capacity optimization)
FOC	Fixed Operating Costs	Euro/MW/Year		Fixed Operating Costs (only used for capacity optimization)
PMAX	Pmax	MW	(not OPTIM_PMAX) and (not OPTIM_PATHWAY)	Installed power capacity
PMAXMIN	Min Pmax	MW	OPTIM_PMAX or OPTIM_PATHWAY	Installed capacity lower bound for capacity optimization
PMAXMAX	Max Pmax	MW	OPTIM_PMAX or OPTIM_PATHWAY	Installed capacity upper bound for capacity optimization
AVAILABILITY	Availability	%		Available capacity, expressed as a percentage of the installed capacity
PRODUCTION_COST	Production cost	Euro/MW.h		Production cost (emission cost excluded)
ENTRY_FEE	Fee for gas injection on the internal network	Euro/MW.h		Entry fee
CONSUMPTION_COST	Consumption cost	Euro/MW.h		Consumption cost
EXIT_FEE	Fee for gas withdrawal from the internal network	Euro/MW.h		Exit fee
LOSSES	Losses	%		Transmission losses
MIN_FLOW	Minimal flow	%		Minimal flow on a pipeline, expressed as a percentage of the installed capacity.
GRADIENT_UP	Gradient up	%/min	GRADIENTS	Maximal upward variation, expressed as a percentage of the available capacity per minute
GRADIENT_DOWN	Gradient down	%/min	GRADIENTS	Maximal downward variation, expressed as a percentage of the available capacity per minute

Model code:

stateON = AssetState('ON')
addGradients(asset, stateON, isInput=True)
# Computing overall cost to set on incoming flows (consumption cost + network exit fee)
overallConsumptionCost  = getAssetData(asset, CONSUMPTION_COST, dataName=LABELS[CONSUMPTION_COST], mustExist=False)
exitFee = getAssetData(asset, "EXIT_FEE", mustExist=False)
if exitFee is not None:
    overallConsumptionCost += exitFee

# Computing overall cost to set on outcoming flows (production cost + network entry fee)
overallProductionCost  = getAssetData(asset, PRODUCTION_COST, dataName=LABELS[PRODUCTION_COST], mustExist=False)
entryFee = getAssetData(asset, "ENTRY_FEE", mustExist=False)
if entryFee is not None:
    overallProductionCost += entryFee

addEnergyTransmission(asset, stateON, consumptionCost = overallConsumptionCost, productionCost = overallProductionCost)
# Add minimum flows constraints
minimumFlow = getAssetData(asset, MIN_FLOW, mustExist=False, resizePercentage=True)
if minimumFlow is not None and minimumFlow > 0:
    addMinimumFlow(asset, stateON)
finalize(stateON)