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A system for calculating hourly electricity and heat loads with a merit order

License: MIT License

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merit's Issues

privatizing 'values' breaks some functionality

Example:

CSVWriter.new(merit_order.load_curves).write!("output.csv")
NoMethodError: undefined method `values' for <Merit::LoadCurve: 8760 values>:Merit::LoadCurve
from /Users/kruip/Projects/merit/lib/merit/order.rb:142:in `block in load_curves'

surprising change in dashboard values

first, set all electricity generation to zero.
in a scenario with _only_ 15,000 # of offshore wind turbines (Wind production is higher than electricity demand ), switching merit order on/off makes figures in the dashboard change.

In particular, CO2, energy imports, cost and renewables change slightly. However, electricity cost are not affected.

Discussion: we have a LOT of CHP production?

NOTE: effective_output_capacity is noted in MW electric/plant according to documentation....

agriculture_chp_engine_gas_power_fuelmix
- effective_output_capacity: 3065
- number_of_units: 3023.581081

Compare this to e.g. nuclear:

Nuclear (3rd gen)
- effective_output_capacity: 510
- number_of_units: 0.31875

availability is about the same.

So: We have ~5000 times as much agriculural chp power than Nuclear?

including @AlexanderWirtz

Build a solar stub

Make a 'clean' scenario that shows a residual load curve that is not 'messed up' by wind curves. Compare the FLH of the module with the ETM.

Total demand is malformatted

Scaling of MO load_profiles can result in loads (MW) larger then the available efficiency

From #19

no more discussion needed, but it needs to be noted somewhere that and why it happens.

This happens because the area under the profiles needs to be scaled to the total produced electricity but the shape of the profiles does not always include all information.

For example, the profiles for wind may not describe every gush of wind that has been converted into electricity and therefore 'misses' features, i.e., it has a trough where it should have a peak. This is inevitable as we do not have measurement of every location in the Netherlands where a turbine is situated and we do not know the exact relation between the wind speeds (measured) and the production of a turbine.

This means that to reproduce the total production, the profile has to be scaled vertically (to make up for the lost peaks) and peaks in the load may become unphysically high. This is not a fundamental problem, as the curve is only indicative of the variability of the technology, but it might confuse the user.

Load fraction for a certain plant type cannot be lower than a set minimum

When determining how much capacity is needed to meet demand (Load), the price setting plant will only turn out to use a fraction of its maximum capacity. This fraction is called load_fraction and cannot be lower than some number.
This minimum_load_fraction has to be researched per plant type. Chris Laumans probably knows them already.

The calculation should eventually make sure that a plant is not used less than its minimum_load_fraction and that the next plant in the merit order should be tried, etc, etc until a fit is found.

N.B. it is theoretically possible that no fit would be found. In that case, what do we do?

Use different curves to assess the sensitivity of outcomes on the dataset

Curves for demand, wind and solar are available for 2009, 2010 and 2011 in the DropBox folder:

/Dropbox/Merit order/Part Two (EnergieNederland)/Data/Curves

What is a feasible total_demand that fits current stub?

wind turbines do not yet have variable costs, these are now included as fixed costs

Improve README for Marginal Costs

Now it reads, but should be more concrete on how to get this info out of the ETengine. (what query?)

Marginal costs

The marginal_costs (EUR/MWh/year) are calculated by dividing the variable costs
(EUR/plant/year) of the participant by one plant's annual electricity
production (in MWh/plant). The marginal costs can be queried from the
ETEngine's GQL with the following query:

V(converter_key, variable_costs_per(:mwh_electricity))

Update merit order to include new input fixed_operation_and_maintenance_costs_per_year

See issue #25: this parameter is needed to calculate operational_expenses (i.e. OPEX).
I have already added definition of OPEX in readme, but not updated all the lists of inputs etc.
Unit EUR/plant/year

Discussion: What does effective_output_capacity mean exactly?

According to the stub, the effective_output_capacity of a wind turbine (inland) is 1080 MW.

We discussed that the effective_output_capacity is the max load a producer can produce at any point in time...

...But when we look at the load_curve, derived from the load_profile, we see that the max load of this thing is 1266.34 MW, which is significantly higher.

@s.participant(:energy_power_wind_turbine_inland).load_curve.draw
-----------------------------------------------------------------o------ 9.66e+02
-----------------------------------------------------------------o------ 4.83e+02
-----------------------------------------------------------------o------ 3.22e+02
----------------o----------------------------------------------ooo------ 2.42e+02
----------------o----------------------------------------------ooo------ 1.93e+02
----------------o----------------------------------------------ooo------ 1.61e+02
---o---------o--o-------------------------------o--------------ooo------ 1.38e+02
---o---------o--o-------------------------------o--------------ooo------ 1.21e+02
---oo-o------o--o--------o----------------------o--------------ooo-----o 1.07e+02
--ooo-o-----oo--o-------ooo----------o-o--------o-----o--------ooo-----o 9.66e+01
--ooo-o-----oo--o-------ooo----------o-o-------oo-----o-------oooo-o---o 8.78e+01
--ooo-o----ooo--o-------ooo--o-------o-o-------oo-o---o-----o-oooo-o--oo 8.05e+01
--ooo-o----ooo--o-------ooo--o---oo--o-oo------oo-oo--oo-oo-oooooo-oo-oo 7.43e+01
o-ooo-o-ooooooo-o-oo-o--oooooooo-oo--ooooo---o-ooooo--ooooooooooooooo-oo 6.90e+01
o-ooo-oooooooooooooo-ooooooooooo-oo-oooooo--ooooooooo-oooooooooooooooooo 6.44e+01
o-ooooooooooooooooooooooooooooooooo-oooooooooooooooooooooooooooooooooooo 6.04e+01
=> nil
[8] pry(main)> @s.participant(:energy_power_wind_turbine_inland).load_curve.values.max
=> 1266.34104

Including @AlexanderWirtz.

add fixed_om_costs_per_unit to stub(s)

Use realistic converters for Rspec test

In order to compare the outcome of the MO calculation with the current implementation of the MO in the ETM, a complete list of participants has to be used in the Rspec tests.

First outcomes: Could this be right? :)))

First Results of the Merit Order :)

A sanity check would be nice...

> @s.calculate
=> true
> @s.producers.map{ |p| "#{p.key} #{(p.production / p.max_production)}" }
=> ["energy_power_solar_pv_solar_radiation NaN",
 "energy_power_solar_csp_solar_radiation NaN",
 "energy_power_wind_turbine_inland 0.9999996754680114",
 "energy_power_wind_turbine_coastal 1.000001058912001",
 "energy_power_wind_turbine_offshore 0.9999998874719702",
 "buildings_solar_pv_solar_radiation 1.000000004721413",
 "households_solar_pv_solar_radiation 1.0000000047214168",
 "industry_chp_combined_cycle_gas_power_fuelmix 1.0000002527999505",
 "industry_chp_supercritical_wood_pellets 1.0000002528001373",
 "industry_chp_ultra_supercritical_coal NaN",
 "energy_power_supercritical_waste_mix 1.0000002527998384",
 "agriculture_chp_engine_gas_power_fuelmix 1.0000001606400828",
 "buildings_collective_chp_wood_pellets NaN",
 "buildings_collective_chp_gas_power_fuelmix 0.9999038923440943",
 "households_collective_chp_wood_pellets NaN",
 "households_collective_chp_network_gas NaN",
 "households_water_heater_fuel_cell_chp_network_gas NaN",
 "other_chp_engine_gas_power_fuelmix NaN",
 "households_space_heater_micro_chp_network_gas NaN",
 "households_water_heater_micro_chp_network_gas NaN",
 "energy_power_nuclear_gen3_uranium_oxide 0.8997441764037145",
 "energy_power_nuclear_gen2_uranium_oxide NaN",
 "energy_power_ultra_supercritical_lignite NaN",
 "energy_chp_ultra_supercritical_lignite NaN",
 "energy_power_ultra_supercritical_oxyfuel_ccs_lignite NaN",
 "energy_power_combined_cycle_coal 0.8992712487011134",
 "energy_power_combined_cycle_ccs_coal NaN",
 "energy_power_ultra_supercritical_coal 0.8458966087802168",
 "energy_power_supercritical_coal NaN",
 "energy_chp_ultra_supercritical_coal 0.6479913933028825",
 "energy_power_ultra_supercritical_ccs_coal NaN",
 "energy_power_combined_cycle_gas_power_fuelmix 0.2026446701852276",
 "energy_power_combined_cycle_ccs_gas_power_fuelmix NaN",
 "energy_chp_combined_cycle_gas_power_fuelmix 0.012113223432973608",
 "energy_power_ultra_supercritical_gas_power_fuelmix 0.0",
 "energy_power_turbine_network_gas 0.0",
 "energy_power_ultra_supercritical_crude_oil NaN",
 "energy_chp_ultra_supercritical_crude_oil NaN",
 "energy_chp_ultra_supercritical_wood_pellets NaN",
 "energy_power_engine_diesel NaN"]

Current merit order implementation in ETM shows unexpected behavior in extreme scenario

When comparing the new merit order module with the current ETM implementation, some discrepancies for extreme (much volatile!) scenario's are popping up. For example, when increasing volatiles to almost maximum, the nuclear reactor still has ~4000 FLH in the ETM whereas the new module shuts the reactor off for most of the time.

Add check for LoadProfile

Merit::LoadProfile.load(:key).values.inject(:+) * 3600
=> 1.0

Allign stub with /load_profile names

rename LoadCurve to Curve, since it is now used for PriceCurves, etc.

Find fraction of capacity that switches on/off more than N times a year for different N

This will tell us how realistic the MO module's results are. For example: if nuclear power plants are switching on/off every hour for the start-scenario, we have a problem.

Convert keys and profiles from String to Symbol in stubs

Create example/stub with realistic Participants from ETEngine

@ChaelKruip already created an Excel file.

Profitability should be related to OPEX and CAPEX, not to variable and fixed costs

As discussed with @JAlsem.

The current definition of profitability is not correct:

:profitable (if income >= total costs)
:conditionally_profitable (if variable costs =< income < total costs)
:unprofitable (if income < variable costs)

Since a plant the runs always earns back its variable costs (since electricity price is always higher than variable costs IFF a plant is running, otherwise it wouldn't be running), the comparison between variable and fixed costs is rather trivial.

The crux is that we want to know if the plant makes enough money to stay open. In effect this means we want to know if it covers its OPEX = variable costs + fixed O&M cost

Change the profitability definition as follows therefore:

:profitable (if income >= total costs)
:conditionally_profitable (if OPEX =< income < total costs)
:unprofitable (if income < OPEX)

Note that since:

total costs = OPEX + CAPEX = variable costs + fixed costs

it is not necessary to define CAPEX anywhere.

We need to calculate OPEX in merit module, since variable costs are not input but output.

We need to make fixed_operation_and_maintenance_costs_per_year an input for each (dispatchable) participant in order to be able to calculate OPEX.

Check numbers for profit

+------------------------------------------------------+-----------------------------+--------------------------+------+--------+---------+-------------+-------------+----------------+-----------------+
| key                                                  | class                       | profitability            | flh  | profit | revenue | total_costs | fixed_costs | variable_costs | operating_costs |
+------------------------------------------------------+-----------------------------+--------------------------+------+--------+---------+-------------+-------------+----------------+-----------------+
| energy_power_solar_pv_solar_radiation                | Merit::VolatileProducer     | unprofitable             | 1050 | 0      | 0       | 0           | 0           | 0              | 0               |
| energy_power_solar_csp_solar_radiation               | Merit::VolatileProducer     | unprofitable             | 500  | 0      | 0       | 0           | 0           | 0              | 0               |
| energy_power_wind_turbine_inland                     | Merit::VolatileProducer     | conditionally_profitable | 2500 | -16    | 176     | 191         | 191         | 0              | 53              |
| energy_power_wind_turbine_coastal                    | Merit::VolatileProducer     | profitable               | 3000 | 3      | 39      | 35          | 35          | 0              | 9               |
| energy_power_wind_turbine_offshore                   | Merit::VolatileProducer     | conditionally_profitable | 3500 | -63    | 44      | 106         | 106         | 0              | 27              |
| buildings_solar_pv_solar_radiation                   | Merit::VolatileProducer     | conditionally_profitable | 1050 | -5     | 2       | 6           | 6           | 0              | 0               |
| households_solar_pv_solar_radiation                  | Merit::VolatileProducer     | conditionally_profitable | 1050 | -7     | 4       | 11          | 11          | 0              | 1               |
| industry_chp_combined_cycle_gas_power_fuelmix        | Merit::MustRunProducer      | unprofitable             | 5442 | -1064  | 1097    | 2160        | 310         | 1850           | 1850            |
| industry_chp_supercritical_wood_pellets              | Merit::MustRunProducer      | unprofitable             | 5247 | -235   | 116     | 351         | 99          | 251            | 282             |
| industry_chp_ultra_supercritical_coal                | Merit::MustRunProducer      | unprofitable             | 4204 | 0      | 0       | 0           | 0           | 0              | 0               |
| energy_power_supercritical_waste_mix                 | Merit::MustRunProducer      | conditionally_profitable | 6190 | -66    | 253     | 318         | 314         | 4              | 4               |
| agriculture_chp_engine_gas_power_fuelmix             | Merit::MustRunProducer      | unprofitable             | 3980 | -535   | 772     | 1307        | 352         | 955            | 994             |
| buildings_collective_chp_wood_pellets                | Merit::MustRunProducer      | unprofitable             | 6097 | 0      | 0       | 0           | 0           | 0              | 0               |
| buildings_collective_chp_gas_power_fuelmix           | Merit::MustRunProducer      | unprofitable             | 3942 | -90    | 104     | 193         | 43          | 150            | 150             |
| households_collective_chp_wood_pellets               | Merit::MustRunProducer      | unprofitable             | 6097 | 0      | 0       | 0           | 0           | 0              | 0               |
| households_collective_chp_network_gas                | Merit::MustRunProducer      | unprofitable             | 3942 | 0      | 0       | 0           | 0           | 0              | 0               |
| households_water_heater_fuel_cell_chp_network_gas    | Merit::MustRunProducer      | unprofitable             | 0    | 0      | 0       | 0           | 0           | 0              | 0               |
| other_chp_engine_gas_power_fuelmix                   | Merit::MustRunProducer      | unprofitable             | 4000 | 0      | 0       | 0           | 0           | 0              | 0               |
| households_space_heater_micro_chp_network_gas        | Merit::MustRunProducer      | unprofitable             | 0    | 0      | 0       | 0           | 0           | 0              | 0               |
| households_water_heater_micro_chp_network_gas        | Merit::MustRunProducer      | unprofitable             | 0    | 0      | 0       | 0           | 0           | 0              | 0               |
| energy_power_ultra_supercritical_oxyfuel_ccs_lignite | Merit::DispatchableProducer | unprofitable             | 0    | 0      | 0       | 0           | 0           | 0              | 0               |
| energy_power_ultra_supercritical_lignite             | Merit::DispatchableProducer | unprofitable             | 0    | 0      | 0       | 0           | 0           | 0              | 0               |
| energy_chp_ultra_supercritical_crude_oil             | Merit::DispatchableProducer | unprofitable             | 0    | 0      | 0       | 0           | 0           | 0              | 0               |
| energy_chp_ultra_supercritical_lignite               | Merit::DispatchableProducer | unprofitable             | 0    | 0      | 0       | 0           | 0           | 0              | 0               |
| energy_chp_ultra_supercritical_wood_pellets          | Merit::DispatchableProducer | unprofitable             | 0    | 0      | 0       | 0           | 0           | 0              | 0               |
| energy_power_combined_cycle_ccs_coal                 | Merit::DispatchableProducer | unprofitable             | 0    | 0      | 0       | 0           | 0           | 0              | 0               |
| energy_power_combined_cycle_ccs_gas_power_fuelmix    | Merit::DispatchableProducer | unprofitable             | 0    | 0      | 0       | 0           | 0           | 0              | 0               |
| energy_power_ultra_supercritical_crude_oil           | Merit::DispatchableProducer | unprofitable             | 0    | 0      | 0       | 0           | 0           | 0              | 0               |
| energy_power_ultra_supercritical_ccs_coal            | Merit::DispatchableProducer | unprofitable             | 0    | 0      | 0       | 0           | 0           | 0              | 0               |
| energy_power_engine_diesel                           | Merit::DispatchableProducer | unprofitable             | 0    | 0      | 0       | 0           | 0           | 0              | 0               |
| energy_power_supercritical_coal                      | Merit::DispatchableProducer | unprofitable             | 0    | 0      | 0       | 0           | 0           | 0              | 0               |
| energy_power_nuclear_gen2_uranium_oxide              | Merit::DispatchableProducer | unprofitable             | 0    | 0      | 0       | 0           | 0           | 0              | 0               |
| energy_power_nuclear_gen3_uranium_oxide              | Merit::DispatchableProducer | profitable               | 7884 | 53     | 261     | 207         | 184         | 23             | 49              |
| energy_power_combined_cycle_coal                     | Merit::DispatchableProducer | profitable               | 7883 | 32     | 129     | 97          | 50          | 46             | 51              |
| energy_power_ultra_supercritical_coal                | Merit::DispatchableProducer | profitable               | 7708 | 369    | 1344    | 975         | 377         | 598            | 652             |
| energy_chp_ultra_supercritical_coal                  | Merit::DispatchableProducer | profitable               | 7686 | 155    | 834     | 678         | 263         | 415            | 453             |
| energy_power_combined_cycle_gas_power_fuelmix        | Merit::DispatchableProducer | profitable               | 6498 | 255    | 1719    | 1464        | 314         | 1150           | 1196            |
| energy_chp_combined_cycle_gas_power_fuelmix          | Merit::DispatchableProducer | conditionally_profitable | 2490 | -261   | 589     | 850         | 353         | 496            | 548             |
| energy_power_ultra_supercritical_gas_power_fuelmix   | Merit::DispatchableProducer | conditionally_profitable | 468  | -119   | 139     | 258         | 140         | 117            | 124             |
| energy_power_turbine_network_gas                     | Merit::DispatchableProducer | unprofitable             | 51   | -10    | 0       | 10          | 9           | 0              | 2               |
+------------------------------------------------------+-----------------------------+--------------------------+------+--------+---------+-------------+-------------+----------------+-----------------+

Load curves needed for new technologies

We have several technologies in the ETM that are not currently included in the MO calculation because they do not have load curves or sensible costs assigned:

energy_power_solar_csp_solar_radiation (curve and cost need review)
energy_power_hydro_river (idem)
energy_power_geothermal (costs?)

Provide (multiple) demand curves and load curves on time-resolution of one 15 minutes

The currently used load curves (merit_order.csv) are on a 4-hour resolution, too course for the calculation of ramp-speeds. 15 minute resolution is probably the best available.
In order to assess the influence of different demand curves on the MO calculation, several curves (for different years) should become available.

full load hours of volatiles are wrong

When using pry-remote with a 'binding.remote_pry' in between these lines, the merit order info table looks like this:

@m.info: 
+--------------------------------------------------------+-----------------------------+--------------------+--------------------+-----------------------+
| key                                                    | class                       | marginal costs     | full load hours    | production (PJ)       |
+--------------------------------------------------------+-----------------------------+--------------------+--------------------+-----------------------+
| buildings_solar_pv_solar_radiation                     | Merit::VolatileProducer     | 0.0                | 8584.799999998668  | 0.9801388799998477    |
| energy_power_solar_csp_solar_radiation                 | Merit::VolatileProducer     | 1.0                | 0.0                | 0.0                   |
| energy_power_solar_pv_solar_radiation                  | Merit::VolatileProducer     | 0.0                | 0.0                | 0.0                   |
| energy_power_wind_turbine_coastal                      | Merit::VolatileProducer     | 0.0                | 8322.0             | 5.991839999999999     |
| energy_power_wind_turbine_inland                       | Merit::VolatileProducer     | 0.0                | 8322.000000000024  | 32.35593599999999     |
| energy_power_wind_turbine_offshore                     | Merit::VolatileProducer     | 0.0                | 8059.1999999988975 | 5.636834742856381     |
| households_solar_pv_solar_radiation                    | Merit::VolatileProducer     | 0.0                | 8584.800000000983  | 1.9632211200002248    |
| agriculture_chp_engine_gas_power_fuelmix               | Merit::MustRunProducer      | 78.2912044043496   | 3980.42414355628   | 43.9200070553075      |
| buildings_collective_chp_gas_power_fuelmix             | Merit::MustRunProducer      | 94.00461948287406  | 3942.0             | 5.759999730892853     |
| buildings_collective_chp_wood_pellets                  | Merit::MustRunProducer      | 154.16507000812567 | 6097.77777777778   | 0.0                   |
| energy_power_geothermal                                | Merit::MustRunProducer      | 0.0                | 8250.0             | 0.0                   |
| energy_power_supercritical_waste_mix                   | Merit::MustRunProducer      | 1.2060890798839186 | 6190.47619047619   | 14.040003549310445    |
| energy_power_ultra_supercritical_cofiring_wood_pellets | Merit::MustRunProducer      | 76.54076672162961  | 6329.1             | 0.0                   |
| households_collective_chp_network_gas                  | Merit::MustRunProducer      | 85.59713754578537  | 3942.0             | 0.0                   |
| households_collective_chp_wood_pellets                 | Merit::MustRunProducer      | 119.97893462469432 | 6097.77777777778   | 0.0                   |
| households_space_heater_micro_chp_network_gas          | Merit::MustRunProducer      | NaN                | 0.0                | 0.0                   |
| households_water_heater_fuel_cell_chp_network_gas      | Merit::MustRunProducer      | NaN                | 0.0                | 0.0                   |
| households_water_heater_micro_chp_network_gas          | Merit::MustRunProducer      | NaN                | 0.0                | 0.0                   |
| industry_chp_combined_cycle_gas_power_fuelmix          | Merit::MustRunProducer      | 109.48622367590018 | 5442.83413848631   | 60.840015380343736    |
| industry_chp_supercritical_wood_pellets                | Merit::MustRunProducer      | 139.78983050846998 | 5247.81341107872   | 6.480001638143425     |
| industry_chp_ultra_supercritical_coal                  | Merit::MustRunProducer      | 32.155211147136    | 4204.8             | 0.0                   |
| other_chp_engine_gas_power_fuelmix                     | Merit::MustRunProducer      | 78.35349089083613  | 4000.0             | 0.0                   |
| energy_power_nuclear_gen3_uranium_oxide                | Merit::DispatchableProducer | 5.826162528219999  | 7884.000000000001  | 14.475024000000001    |
| energy_power_nuclear_gen2_uranium_oxide                | Merit::DispatchableProducer | 6.133182844247499  | 0.0                | 0.0                   |
| energy_power_ultra_supercritical_lignite               | Merit::DispatchableProducer | 13.999791000000002 | 0.0                | 0.0                   |
| energy_chp_ultra_supercritical_lignite                 | Merit::DispatchableProducer | 16.60280221570544  | 0.0                | 0.0                   |
| energy_power_ultra_supercritical_oxyfuel_ccs_lignite   | Merit::DispatchableProducer | 19.5875588852459   | 0.0                | 0.0                   |
| energy_power_combined_cycle_coal                       | Merit::DispatchableProducer | 23.206235140069815 | 7883.999999998865  | 7.1807471999989865    |
| energy_power_combined_cycle_ccs_coal                   | Merit::DispatchableProducer | 28.368603091935135 | 0.0                | 0.0                   |
| energy_power_ultra_supercritical_coal                  | Merit::DispatchableProducer | 28.88182917042096  | 7703.270989606596  | 74.49825668266205     |
| energy_power_supercritical_coal                        | Merit::DispatchableProducer | 29.9101120467295   | 0.0                | 0.0                   |
| energy_chp_ultra_supercritical_coal                    | Merit::DispatchableProducer | 32.392018334153555 | 7562.661521001719  | 45.466243477619265    |
| energy_power_ultra_supercritical_ccs_coal              | Merit::DispatchableProducer | 34.97149517639419  | 0.0                | 0.0                   |
| energy_power_combined_cycle_gas_power_fuelmix          | Merit::DispatchableProducer | 44.22593220218116  | 5268.837140035736  | 75.90919044392285     |
| energy_power_combined_cycle_ccs_gas_power_fuelmix      | Merit::DispatchableProducer | 57.26112857757725  | 0.0                | 0.0                   |
| energy_chp_combined_cycle_gas_power_fuelmix            | Merit::DispatchableProducer | 60.30808936661068  | 1625.7070841086925 | 19.3461744140269      |
| energy_power_ultra_supercritical_gas_power_fuelmix     | Merit::DispatchableProducer | 65.87652585429215  | 225.22181206417207 | 3.1004935536002223    |
| energy_power_turbine_network_gas                       | Merit::DispatchableProducer | 77.98197269622605  | 2.9405857154323356 | 0.0022442550180179596 |
| energy_power_ultra_supercritical_crude_oil             | Merit::DispatchableProducer | 93.09320787177599  | 0.0                | 0.0                   |
| energy_power_engine_diesel                             | Merit::DispatchableProducer | 93.09320787177599  | 0.0                | 0.0                   |
| energy_chp_ultra_supercritical_crude_oil               | Merit::DispatchableProducer | 109.37827642710315 | 0.0                | 0.0                   |
| energy_chp_ultra_supercritical_wood_pellets            | Merit::DispatchableProducer | 139.78983050846998 | 0.0                | 0.0                   |
| TOTALS:                                                |                             |                    |                    | 417.9463721237027     |
+--------------------------------------------------------+-----------------------------+--------------------+--------------------+-----------------------+

Curiously, the full_load_hours (and, therefore, productions) of wind turbines are much higher than they should be. The the full_load_hours are input to the MO module, and should be constant regardless.

This could very well be the reason for the discrepancy of production and demand when injecting the MO the full_load_hours into the ETM:

NOTE: the the full_load_hours in the table are correct again! They also look to be correct when using a stub with the MO module to reproduce the exact scenario. Only when printing the values inside the 'pry' session, do these weird values show up...

plant types with zero operating hours also have zero operating costs

open a default scenario
turn on merit order
display merit order graph

When you increase Gas CCGT plants from 5.1 (default) to 10, you see how Gas Turbines jump from the highest position in the merit order graph (most right) to the lowest position (most left). As Gas Turbines are replaced with Gas CCGT, Gas Turbines are no longer running. The module assigns the operation costs to zero in consequence.
Further increasing Gas CCGT to the max of the slider will also push Gas Steam down the merit order.

Are there other drawbacks from having zero operating costs for plants that do not run?

possible solutions,

assign operating costs, even if the plant has 0 full load hours.
arrange plants in merit order graph correctly. Gas steam and gas turbine still rank 7 and 8 in the merit order position.

fix broken spec calculator_spec.rb#52 please

Add rake task to load a merit order through the API (of ETengine)

So that the user can do this through the shell:

rake console:load et-engine.com 217811

Add LoadProfiles with 8760 datapoints to /load_profiles folder

update and correct readme with new financial spec. Make it neat please!

Add csv with load curves

marginal_cost is NaN when number_of_units is zero

We have to find out three things:

Is this a bad thing? Those dispatchables are not really participating in the MO anyway.
Why would the variable_cost_per(:MWh) give different results than the previously used merit_order_variable_cost_per(:MWh)?
Does the new stub reproduce the outcome of the previous one?

must runs are not displayed with zero operating costs in graph

open a default scenario
turn merit order on
increase conventional coal production to max
display merit order graph (not table)

you find that the green block (must run CHPs) is sticking out above the other producers that have zero marginal costs. Even though the operating costs are displayed as 0,00 they look larger than zero.

Write documentation

Profitability criteria need to be formulated more precisely

One of the main deliverables of interview with Sytse Jelles is a precise and validated formulation of profitability.

Rename calculator to order

Fix inconsistencies

Some input is explicitly per year, and other is not....
Expenses and costs
Operating, operation (Dutchlish) and operational

    merit_order.add(
      MustRunParticipant.new(
        key: "energy_power_ultra_supercritical_cofiring_wood_pellets",
        marginal_costs: 76.54109444,
        effective_output_capacity: 0,
        number_of_units: 0,
        availability: 0.89,
        fixed_costs: 133969444.4,
        load_profile_key: "",
        full_load_hours: 6329.1
      )
    )

    merit_order.add(
      MustRunParticipant.new(
        key: "energy_power_hydro_river",
        marginal_costs: 0,
        effective_output_capacity: 37,
        number_of_units: 3.7,
        availability: 0.98,
        fixed_costs: 3000000,
        load_profile_key: "",
        full_load_hours: 2702.702703
      )
    )

    merit_order.add(
      MustRunParticipant.new(
        key: "energy_power_hydro_river",
        marginal_costs: 0,
        effective_output_capacity: 37,
        number_of_units: 3.7,
        availability: 0.98,
        fixed_costs: 3000000,
        load_profile_key: "",
        full_load_hours: 2702.702703
      )
    )

    merit_order.add(
      MustRunParticipant.new(
        key: "energy_power_hydro_mountain",
        marginal_costs: 2.49208966,
        effective_output_capacity: 0,
        number_of_units: 0,
        availability: 0.98,
        fixed_costs: 51155234.43,
        load_profile_key: "",
        full_load_hours: 3942
      )
    )

Write functions for profitability as needed by @JAlsem

Assess which functionality is missing from the current (pseudo) code
Write pseudo code for the missing functions
Try to organize them in the existing Merit module
Communicate to others what is needed to get to a completely working version of these functions