Thermals¶

A thermal cluster is a grouping of plants with close parameters.

Operating parameters¶

Group¶

string Group in which the cluster is, only for organization purpose.

gas
hard coal
lignite
mixed fuel
nuclear
oil
other 1
other 2
other 3
other 4
other 5

Name¶

string User defined name of the cluster.

Enabled¶

bool Whether to enable this cluster for production.

Must run¶

bool If enabled, the plants will generate at their maximum capacity, regardless of market conditions. Otherwise, above a partial "must-run level" (that may exist or not, see infra) plants will be dispatched on the basis of their market bids.

Unit¶

int The number of units in the cluster.

Nominal capacity (MW)¶

float The nominal capactity of one unit.

Note

The installed power is the product of the number of units and their nominal capacity.

Min stable power (MW)¶

float The minimum power to keep a plant on.

Spinning (%)¶

int Default contribution to the spinning reserve (percentage of nominal capacity).

Min uptime (h)¶

int Minimum uptime for a plant to go from off to its nominal capacity.

Min downtime (h)¶

int Minimum downtime for a plant to go from its nominal capacity to completly off.

Operating costs¶

TS cost¶

enum Cost generation

SetManually
useCostTimeseries

Note

If Cost generation is set to SetManually marginal and market bid costs (€/MWh) are specified directly in Time series > Common tab and have the same value for all time series and hours.

If Cost generation is set to Use cost timeseries Marginal and Market bid costs (€/MWh) are calculated separately for all the time series and hours using the following equation:

Marginal_Cost[€/MWh] = Market_Bid_Cost[€/MWh] = (Fuel_Cost[€/GJ] * 3.6 * 100 / Efficiency[%]) + CO2_emission_factor[tons/MWh] * C02_cost[€/tons] + Variable_O&M_cost[€/MWh]

where Efficiency[%], CO2_emission_factor[tons/MWh] and Variable_O&M_cost[€/MWh] are specified in the Common tab under operating costs and parameters, while Fuel_Cost[€/GJ] and C02_cost[€/tons] are provided as time series in separate tabs.

Efficiency (%)¶

int Fuel efficiency.

Variable O&M (€/MWh)¶

float Variable operation and maintenance costs only use if cost generation is set to use cost timeseries.

Marginal cost (€/MWh)¶

float Marginal cost.

Startup cost (€)¶

float Cost of starting a new plan

Market bid cost (€/MWh)¶

float Market bid cost.

Fixed O&M cost (€/h)¶

float Fixed operation and maintenance costs.

Random spread (€/MWh)¶

float Random spread on the market bid.

Note

The optimal dispatch plan as well as locational marginal prices are based on market bids, while the assessment of the operating costs associated with this optimum are based on cost parameters. In standard "perfect" market modeling, there is no difference of approaches because market bids are equal to marginal costs.

Other emission rates¶

The following parameters allow the user to indicate the rates of emission of different polluants for a given cluster.

CO2 (t/MWh)¶

float

SO2 (t/MWh)¶

float

NH3 (t/MWh)¶

float

NOx (t/MWh)¶

float

NMVOC (t/MWh)¶

float

PM2.5 (t/MWh)¶

float

PM5 (t/MWh)¶

float

PM10 (t/MWh)¶

float

Other polluant 1 (t/MWh)¶

float

Other polluant 2 (t/MWh)¶

float

Other polluant 3 (t/MWh)¶

float

Other polluant 4 (t/MWh)¶

float

Other polluant 5 (t/MWh)¶

float

Time series generation¶

Parameter¶

enum Parameter to specify the behavior of this cluster for time series generation. This cluster-wise parameter takes priority over the study-wide one. It can hold three values:

use global:
force no generation: time series for this cluster will not be generated.
force generation: time series for this cluster will be generated.

Volatility forced¶

float A parameter between 0 and 1.

Volatility planned¶

float A parameter between 0 and 1.

Law forced¶

enum Probabilistic law used for the generation of the forced outage time series.

geometric
uniform

Law planned¶

enum Probabilistic law used for the generation of the planned outage time series.

geometric
uniform

Time series¶

Common¶

matrix Hourly time series for:

Seasonal evolution of the marginal cost variations (gas more expensive in winter).
Seasonal market bid modulations (assets costs charging strategy).
Nominal capacity modulations (seasonal thermodynamic efficiencies, special over-generation allowances, etc.). These modulations are taken into account during the generation of available power time series.
Minimal generation commitment (partial must-run level) set for the cluster.

TS generator¶

matrix Daily time series of:

FO duration Forced outage duration (in days)
PO duration Planned outage duration (in days)
FO rate Forced outage rate (in \([0,1]\))
PO rate Planned outage rate (in \([0,1]\))
NPO min Minimum number of units able to go into maintenance at the same time
NPO max Maximum number of units able to go into maintenance at the same time

Availability¶

matrix Hourly availability of the cluster.

Fuel cost¶

matrix Hourly fuel cost of the cluster.

CO2 cost¶

matrix Hourly CO2 cost of the cluster.