oemof /
oemof-solph
| Conditions | 1 |
| Total Lines | 55 |
| Code Lines | 38 |
| Lines | 0 |
| Ratio | 0 % |
| Changes | 0 | ||
Small methods make your code easier to understand, in particular if combined with a good name. Besides, if your method is small, finding a good name is usually much easier.
For example, if you find yourself adding comments to a method's body, this is usually a good sign to extract the commented part to a new method, and use the comment as a starting point when coming up with a good name for this new method.
Commonly applied refactorings include:
If many parameters/temporary variables are present:
| 1 | # -*- coding: utf-8 -*- |
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| 16 | def test_additional_total_limit(): |
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| 17 | date_time_index = pd.date_range("1/1/2012", periods=3, freq="h") |
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| 18 | energysystem = solph.EnergySystem( |
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| 19 | timeindex=date_time_index, |
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| 20 | infer_last_interval=True, |
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| 21 | ) |
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| 22 | |||
| 23 | a = solph.buses.Bus(label="a", balanced=False) |
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| 24 | b = solph.buses.Bus(label="b", balanced=True) |
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| 25 | |||
| 26 | # Converter a |
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| 27 | conv_linear = 4 |
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| 28 | conv_offset = 5 |
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| 29 | conv_flow = 1 |
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| 30 | converter = solph.components.Converter( |
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| 31 | label="trafo_a", |
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| 32 | inputs={a: solph.Flow()}, |
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| 33 | outputs={ |
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| 34 | b: solph.Flow( |
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| 35 | nominal_capacity=solph.Investment( |
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| 36 | ep_costs=1, |
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| 37 | offset=1, |
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| 38 | custom_attributes={ |
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| 39 | "emission": { |
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| 40 | "linear": conv_linear, |
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| 41 | "offset": conv_offset, |
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| 42 | } |
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| 43 | }, |
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| 44 | nonconvex=True, |
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| 45 | maximum=5, |
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| 46 | ), |
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| 47 | custom_attributes={"emission": conv_flow}, |
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| 48 | ) |
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| 49 | }, |
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| 50 | conversion_factors={a: 1}, |
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| 51 | ) |
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| 52 | energysystem.add(converter) |
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| 53 | s = solph.components.Sink( |
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| 54 | label="s", |
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| 55 | inputs={b: solph.Flow(nominal_capacity=1, fix=[1, 1, 1])}, |
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| 56 | ) |
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| 57 | |||
| 58 | energysystem.add(converter, a, b, s) |
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| 59 | |||
| 60 | model = solph.Model(energysystem) |
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| 61 | |||
| 62 | model = solph.constraints.additional_total_limit( |
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| 63 | model, "emission", limit=100 |
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| 64 | ) |
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| 65 | |||
| 66 | model.solve(solver="cbc") |
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| 67 | |||
| 68 | emission_used = model.total_limit_emission() |
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| 69 | print(emission_used) |
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| 70 | assert (1 * 3 + 4 + 5) == emission_used |
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| 71 |
