test_offset_converter.test_invalid_conversion_factor() - Code Metrics - oemof/oemof-solph - Measure and Improve Code Quality continuously with Scrutinizer

test_invalid_conversion_factor() A
last analyzed 2025-08-20 07:05 UTC

↳ Parent: test_offset_converter

Complexity

Conditions

Size

Total Lines	16
Code Lines	13

Duplication

Lines	16
Ratio	100 %

Importance

Changes

Metric	Value
eloc	13
dl	16
loc	16
rs	9.75
c	0
b	0
f	0
cc	2
nop	0

import warnings

import numpy as np
import pytest
from oemof.tools.debugging import ExperimentalFeatureWarning

from oemof import solph
from oemof.solph._plumbing import sequence
from oemof.solph.components._offset_converter import (
    slope_offset_from_nonconvex_input,
)
from oemof.solph.components._offset_converter import (
    slope_offset_from_nonconvex_output,
)


def create_energysystem_stub(num_in, num_out):
    es = solph.EnergySystem(
        timeindex=solph.create_time_index(year=2023, number=9),
        infer_last_interval=True,
    )

    for i in range(num_in):
        bus_label = f"bus input {i}"
        b = solph.Bus(bus_label)
        es.add(b)
        es.add(
            solph.components.Source(f"source {i}", outputs={b: solph.Flow()})
        )

    for o in range(num_out):
        bus_label = f"bus output {o}"
        b = solph.Bus(bus_label)
        es.add(b)
        es.add(solph.components.Sink(f"sink {o}", inputs={b: solph.Flow()}))

    return es


def solve_and_extract_results(es):
    model = solph.Model(es)
    model.solve("cbc")
    results = solph.views.convert_keys_to_strings(model.results())

    assert (
        model.solver_results["Solver"][0]["Termination condition"]
        != "infeasible"
    )
    return results


def check_results(
    results,
    reference_bus,
    nominal_capacity,
    minimal_value,
    eta_at_nom,
    eta_at_min,
):
    for bus in eta_at_nom:
        if "input" in reference_bus.label:
            slope, offset = slope_offset_from_nonconvex_input(
                1,
                minimal_value / nominal_capacity,
                eta_at_nom[bus],
                eta_at_min[bus],
            )
            reference_flow = results[reference_bus.label, "offset converter"][
                "sequences"
            ]["flow"]
            reference_flow_status = results[
                reference_bus.label, "offset converter"
            ]["sequences"]["status"]
        else:
            slope, offset = slope_offset_from_nonconvex_output(
                1,
                minimal_value / nominal_capacity,
                eta_at_nom[bus],
                eta_at_min[bus],
            )
            reference_flow = results["offset converter", reference_bus.label][
                "sequences"
            ]["flow"]
            reference_flow_status = results[
                "offset converter", reference_bus.label
            ]["sequences"]["status"]

        flow_expected = (
            offset * nominal_capacity * reference_flow_status
            + slope * reference_flow
        )
        if "input" in bus.label:
            flow_actual = results[bus.label, "offset converter"]["sequences"][
                "flow"
            ]
        else:
            flow_actual = results["offset converter", bus.label]["sequences"][
                "flow"
            ]

        np.testing.assert_array_almost_equal(flow_actual, flow_expected)


def add_OffsetConverter(
    es, reference_bus, nominal_capacity, minimal_value, eta_at_nom, eta_at_min
):
    # Use of experimental API to access nodes by label.
    # Can be removed with future release of network.
    with warnings.catch_warnings():
        warnings.simplefilter("ignore", ExperimentalFeatureWarning)
        oc_inputs = {
            b: solph.Flow()
            for label, b in es.node.items()
            if "bus input" in label
        }
        oc_outputs = {
            b: solph.Flow()
            for label, b in es.node.items()
            if "bus output" in label
        }

        if reference_bus in oc_outputs:
            f = oc_outputs[reference_bus]
            get_slope_and_offset = slope_offset_from_nonconvex_output
            fix = [0] + np.linspace(
                minimal_value, nominal_capacity, 9
            ).tolist()
        else:
            f = oc_inputs[reference_bus]
            get_slope_and_offset = slope_offset_from_nonconvex_input
            fix = [0] + np.linspace(
                minimal_value * eta_at_min[es.node["bus output 0"]],
                nominal_capacity * eta_at_nom[es.node["bus output 0"]],
                9,
            ).tolist()

        fix_flow = es.flows()[es.node["bus output 0"], es.node["sink 0"]]
        fix_flow.fix = fix
        fix_flow.nominal_capacity = 1

        slopes = {}
        offsets = {}

        for bus in list(oc_inputs) + list(oc_outputs):
            if bus == reference_bus:
                continue
            slope, offset = get_slope_and_offset(
                1,
                minimal_value / nominal_capacity,
                eta_at_nom[bus],
                eta_at_min[bus],
            )
            slopes[bus] = slope
            offsets[bus] = offset

        f.nonconvex = solph.NonConvex()
        f.nominal_capacity = nominal_capacity
        f.min = sequence(minimal_value / nominal_capacity)

        oc = solph.components.OffsetConverter(
            label="offset converter",
            inputs=oc_inputs,
            outputs=oc_outputs,
            conversion_factors=slopes,
            normed_offsets=offsets,
        )

        es.add(oc)


def test_custom_properties():
    bus1 = solph.Bus()
    bus2 = solph.Bus()
    oc = solph.components.OffsetConverter(
        inputs={
            bus1: solph.Flow(nominal_capacity=2, nonconvex=solph.NonConvex())
        },
        outputs={bus2: solph.Flow()},
        conversion_factors={bus2: 2},
        normed_offsets={bus2: -0.5},
        custom_properties={"foo": "bar"},
    )

    assert oc.custom_properties["foo"] == "bar"


def test_invalid_conversion_factor():

    bus1 = solph.Bus()
    bus2 = solph.Bus()
    with pytest.raises(ValueError, match="Conversion factors cannot be "):
        solph.components.OffsetConverter(
            inputs={
                bus1: solph.Flow(
                    nominal_capacity=2, nonconvex=solph.NonConvex()
                )
            },
            outputs={bus2: solph.Flow()},
            conversion_factors={
                bus1: 1,
                bus2: 2,
            },
            normed_offsets={bus2: -0.5},
        )


def test_invalid_normed_offset():

    bus1 = solph.Bus()
    bus2 = solph.Bus()
    with pytest.raises(ValueError, match="Normed offsets cannot be "):
        solph.components.OffsetConverter(
            inputs={
                bus1: solph.Flow(
                    nominal_capacity=2, nonconvex=solph.NonConvex()
                )
            },
            outputs={bus2: solph.Flow()},
            conversion_factors={
                bus2: 2,
            },
            normed_offsets={
                bus1: -0.2,
                bus2: -0.5,
            },
        )


def test_wrong_number_of_coefficients():
    bus1 = solph.Bus()
    bus2 = solph.Bus()
    with pytest.raises(ValueError, match="Two coefficients"):
        solph.components.OffsetConverter(
            inputs={
                bus1: solph.Flow(
                    nominal_capacity=2, nonconvex=solph.NonConvex()
                )
            },
            outputs={bus2: solph.Flow()},
            coefficients=(1, 2, 3),
        )


def test_OffsetConverter_single_input_output_ref_output():

    num_in = 1
    num_out = 1
    es = create_energysystem_stub(num_in, num_out)

    nominal_capacity = 10
    minimal_value = 3

    eta_at_nom = {es.groups["bus input 0"]: 0.7}
    eta_at_min = {es.groups["bus input 0"]: 0.5}

    add_OffsetConverter(
        es,
        es.groups["bus output 0"],
        nominal_capacity,
        minimal_value,
        eta_at_nom,
        eta_at_min,
    )

    results = solve_and_extract_results(es)

    check_results(
        results,
        es.groups["bus output 0"],
        nominal_capacity,
        minimal_value,
        eta_at_nom,
        eta_at_min,
    )


def test_OffsetConverter_single_input_output_ref_output_eta_decreasing():

    num_in = 1
    num_out = 1
    es = create_energysystem_stub(num_in, num_out)

    nominal_capacity = 10
    minimal_value = 3

    eta_at_nom = {es.groups["bus input 0"]: 0.5}
    eta_at_min = {es.groups["bus input 0"]: 0.7}

    add_OffsetConverter(
        es,
        es.groups["bus output 0"],
        nominal_capacity,
        minimal_value,
        eta_at_nom,
        eta_at_min,
    )

    results = solve_and_extract_results(es)

    check_results(
        results,
        es.groups["bus output 0"],
        nominal_capacity,
        minimal_value,
        eta_at_nom,
        eta_at_min,
    )


def test_OffsetConverter_single_input_output_ref_input():

    num_in = 1
    num_out = 1
    es = create_energysystem_stub(num_in, num_out)

    nominal_capacity = 10
    minimal_value = 3

    eta_at_nom = {es.groups["bus output 0"]: 0.7}
    eta_at_min = {es.groups["bus output 0"]: 0.5}

    add_OffsetConverter(
        es,
        es.groups["bus input 0"],
        nominal_capacity,
        minimal_value,
        eta_at_nom,
        eta_at_min,
    )

    results = solve_and_extract_results(es)

    check_results(
        results,
        es.groups["bus input 0"],
        nominal_capacity,
        minimal_value,
        eta_at_nom,
        eta_at_min,
    )


def test_OffsetConverter_single_input_output_ref_input_eta_decreasing():

    num_in = 1
    num_out = 1
    es = create_energysystem_stub(num_in, num_out)

    nominal_capacity = 10
    minimal_value = 3

    eta_at_nom = {es.groups["bus output 0"]: 0.5}
    eta_at_min = {es.groups["bus output 0"]: 0.7}

    add_OffsetConverter(
        es,
        es.groups["bus input 0"],
        nominal_capacity,
        minimal_value,
        eta_at_nom,
        eta_at_min,
    )

    results = solve_and_extract_results(es)

    check_results(
        results,
        es.groups["bus input 0"],
        nominal_capacity,
        minimal_value,
        eta_at_nom,
        eta_at_min,
    )


def test_OffsetConverter_double_input_output_ref_input():

    num_in = 2
    num_out = 2
    es = create_energysystem_stub(num_in, num_out)

    nominal_capacity = 10
    minimal_value = 3

    eta_at_nom = {
        es.groups["bus output 0"]: 0.7,
        es.groups["bus output 1"]: 0.2,
        es.groups["bus input 1"]: 0.2,
    }
    eta_at_min = {
        es.groups["bus output 0"]: 0.5,
        es.groups["bus output 1"]: 0.3,
        es.groups["bus input 1"]: 0.2,
    }

    add_OffsetConverter(
        es,
        es.groups["bus input 0"],
        nominal_capacity,
        minimal_value,
        eta_at_nom,
        eta_at_min,
    )

    results = solve_and_extract_results(es)

    check_results(
        results,
        es.groups["bus input 0"],
        nominal_capacity,
        minimal_value,
        eta_at_nom,
        eta_at_min,
    )


def test_OffsetConverter_double_input_output_ref_output():

    num_in = 2
    num_out = 2

    es = create_energysystem_stub(num_in, num_out)

    nominal_capacity = 10
    minimal_value = 3

    eta_at_nom = {
        es.groups["bus input 0"]: 0.7,
        es.groups["bus output 1"]: 0.2,
        es.groups["bus input 1"]: 0.2,
    }
    eta_at_min = {
        es.groups["bus input 0"]: 0.5,
        es.groups["bus output 1"]: 0.3,
        es.groups["bus input 1"]: 0.2,
    }

    add_OffsetConverter(
        es,
        es.groups["bus output 0"],
        nominal_capacity,
        minimal_value,
        eta_at_nom,
        eta_at_min,
    )

    results = solve_and_extract_results(es)

    check_results(
        results,
        es.groups["bus output 0"],
        nominal_capacity,
        minimal_value,
        eta_at_nom,
        eta_at_min,
    )


def test_two_OffsetConverters_with_and_without_investment():
    num_in = 1
    num_out = 1

    es = create_energysystem_stub(num_in, num_out)

    nominal_capacity = 10
    minimal_value = 3

    eta_at_nom = {
        es.groups["bus input 0"]: 0.7,
    }
    eta_at_min = {
        es.groups["bus input 0"]: 0.5,
    }

    add_OffsetConverter(
        es,
        es.groups["bus output 0"],
        nominal_capacity,
        minimal_value,
        eta_at_nom,
        eta_at_min,
    )

    input_bus = es.groups["bus input 0"]

    oc = solph.components.OffsetConverter(
        label="investment offset converter",
        inputs={input_bus: solph.Flow()},
        outputs={
            es.groups["bus output 0"]: solph.Flow(
                nonconvex=solph.NonConvex(),
                nominal_capacity=solph.Investment(
                    maximum=nominal_capacity, ep_costs=10
                ),
            )
        },
        conversion_factors={input_bus: 1},
        normed_offsets={input_bus: 0},
    )

    es.add(oc)

    # Use of experimental API to access nodes by label.
    # Can be removed with future release of network.
    with warnings.catch_warnings():
        warnings.simplefilter("ignore", ExperimentalFeatureWarning)
        fix_flow = es.flows()[es.node["bus output 0"], es.node["sink 0"]]
        fix_flow.fix = [v * 2 for v in fix_flow.fix]
    # if the model solves it is feasible
    _ = solve_and_extract_results(es)


def test_OffsetConverter_05x_compatibility():
    num_in = 1
    num_out = 1
    es = create_energysystem_stub(num_in, num_out)

    nominal_capacity = 10
    minimal_value = 3

    # Use of experimental API to access nodes by label.
    # Can be removed with future release of network.
    with warnings.catch_warnings():
        warnings.simplefilter("ignore", category=ExperimentalFeatureWarning)
        fix = [0] + np.linspace(minimal_value, nominal_capacity, 9).tolist()
        fix_flow = es.flows()[es.node["bus output 0"], es.node["sink 0"]]
        fix_flow.fix = fix
        fix_flow.nominal_capacity = 1

    eta_at_nom = 0.7
    eta_at_min = 0.5

    slope = (nominal_capacity - minimal_value) / (
        nominal_capacity / eta_at_nom - minimal_value / eta_at_min
    )
    offset = minimal_value / nominal_capacity * (1 - slope / eta_at_min)

    warnings.filterwarnings("ignore", "", DeprecationWarning)
    oc = solph.components.OffsetConverter(
        label="offset converter",
        inputs={es.groups["bus input 0"]: solph.Flow()},
        outputs={
            es.groups["bus output 0"]: solph.Flow(
                nonconvex=solph.NonConvex(),
                nominal_capacity=nominal_capacity,
                min=minimal_value / nominal_capacity,
            )
        },
        coefficients=(offset, slope),
    )

    es.add(oc)
    warnings.filterwarnings("always", "", DeprecationWarning)

    results = solve_and_extract_results(es)

    slope, offset = slope_offset_from_nonconvex_output(
        1, minimal_value / nominal_capacity, 0.7, 0.5
    )
    output_flow = results["offset converter", "bus output 0"]["sequences"][
        "flow"
    ]
    output_flow_status = results["offset converter", "bus output 0"][
        "sequences"
    ]["status"]

    input_flow_expected = (
        offset * nominal_capacity * output_flow_status + slope * output_flow
    )
    input_flow_actual = results["bus input 0", "offset converter"][
        "sequences"
    ]["flow"]

    np.testing.assert_array_almost_equal(
        input_flow_actual, input_flow_expected
    )


def test_error_handling():
    input_bus = solph.Bus("bus1")
    output_bus = solph.Bus("bus2")

    with pytest.raises(TypeError, match="cannot be used in combination"):
        warnings.filterwarnings("ignore", "", DeprecationWarning)
        _ = solph.components.OffsetConverter(
            label="offset converter",
            inputs={input_bus: solph.Flow()},
            outputs={
                output_bus: solph.Flow(
                    nonconvex=solph.NonConvex(),
                    nominal_capacity=10,
                    min=0.3,
                )
            },
            # values are arbitarty just to test the error
            coefficients=(-1, 0.4),
            conversion_factors={input_bus: 1},
            normed_offsets={input_bus: 0},
        )
        warnings.filterwarnings("always", "", DeprecationWarning)

        with pytest.raises(
            ValueError, match="Conversion factors cannot be specified for"
        ):
            _ = solph.components.OffsetConverter(
                label="offset converter",
                inputs={input_bus: solph.Flow()},
                outputs={
                    output_bus: solph.Flow(
                        nonconvex=solph.NonConvex(),
                        nominal_capacity=10,
                        min=0.3,
                    )
                },
                conversion_factors={input_bus: 1, output_bus: 1},
                normed_offsets={input_bus: 0},
            )

        with pytest.raises(
            ValueError, match="Normed offsets cannot be specified for"
        ):
            _ = solph.components.OffsetConverter(
                label="offset converter",
                inputs={input_bus: solph.Flow()},
                outputs={
                    output_bus: solph.Flow(
                        nonconvex=solph.NonConvex(),
                        nominal_capacity=10,
                        min=0.3,
                    )
                },
                conversion_factors={input_bus: 1},
                normed_offsets={input_bus: 0, output_bus: 0},
            )


1		import warnings
2
3		import numpy as np
4		import pytest
5		from oemof.tools.debugging import ExperimentalFeatureWarning
6
7		from oemof import solph
8		from oemof.solph._plumbing import sequence
9		from oemof.solph.components._offset_converter import (
10		slope_offset_from_nonconvex_input,
11		)
12		from oemof.solph.components._offset_converter import (
13		slope_offset_from_nonconvex_output,
14		)
15
16
17		def create_energysystem_stub(num_in, num_out):
18		es = solph.EnergySystem(
19		timeindex=solph.create_time_index(year=2023, number=9),
20		infer_last_interval=True,
21		)
22
23		for i in range(num_in):
24		bus_label = f"bus input {i}"
25		b = solph.Bus(bus_label)
26		es.add(b)
27		es.add(
28		solph.components.Source(f"source {i}", outputs={b: solph.Flow()})
29		)
30
31		for o in range(num_out):
32		bus_label = f"bus output {o}"
33		b = solph.Bus(bus_label)
34		es.add(b)
35		es.add(solph.components.Sink(f"sink {o}", inputs={b: solph.Flow()}))
36
37		return es
38
39
40		def solve_and_extract_results(es):
41		model = solph.Model(es)
42		model.solve("cbc")
43		results = solph.views.convert_keys_to_strings(model.results())
44
45		assert (
46		model.solver_results["Solver"][0]["Termination condition"]
47		!= "infeasible"
48		)
49		return results
50
51
52		def check_results(
53		results,
54		reference_bus,
55		nominal_capacity,
56		minimal_value,
57		eta_at_nom,
58		eta_at_min,
59		):
60		for bus in eta_at_nom:
61		if "input" in reference_bus.label:
62		slope, offset = slope_offset_from_nonconvex_input(
63		1,
64		minimal_value / nominal_capacity,
65		eta_at_nom[bus],
66		eta_at_min[bus],
67		)
68		reference_flow = results[reference_bus.label, "offset converter"][
69		"sequences"
70		]["flow"]
71		reference_flow_status = results[
72		reference_bus.label, "offset converter"
73		]["sequences"]["status"]
74		else:
75		slope, offset = slope_offset_from_nonconvex_output(
76		1,
77		minimal_value / nominal_capacity,
78		eta_at_nom[bus],
79		eta_at_min[bus],
80		)
81		reference_flow = results["offset converter", reference_bus.label][
82		"sequences"
83		]["flow"]
84		reference_flow_status = results[
85		"offset converter", reference_bus.label
86		]["sequences"]["status"]
87
88		flow_expected = (
89		offset * nominal_capacity * reference_flow_status
90		+ slope * reference_flow
91		)
92		if "input" in bus.label:
93		flow_actual = results[bus.label, "offset converter"]["sequences"][
94		"flow"
95		]
96		else:
97		flow_actual = results["offset converter", bus.label]["sequences"][
98		"flow"
99		]
100
101		np.testing.assert_array_almost_equal(flow_actual, flow_expected)
102
103
104		def add_OffsetConverter(
105		es, reference_bus, nominal_capacity, minimal_value, eta_at_nom, eta_at_min
106		):
107		# Use of experimental API to access nodes by label.
108		# Can be removed with future release of network.
109		with warnings.catch_warnings():
110		warnings.simplefilter("ignore", ExperimentalFeatureWarning)
111		oc_inputs = {
112		b: solph.Flow()
113		for label, b in es.node.items()
114		if "bus input" in label
115		}
116		oc_outputs = {
117		b: solph.Flow()
118		for label, b in es.node.items()
119		if "bus output" in label
120		}
121
122		if reference_bus in oc_outputs:
123		f = oc_outputs[reference_bus]
124		get_slope_and_offset = slope_offset_from_nonconvex_output
125		fix = [0] + np.linspace(
126		minimal_value, nominal_capacity, 9
127		).tolist()
128		else:
129		f = oc_inputs[reference_bus]
130		get_slope_and_offset = slope_offset_from_nonconvex_input
131		fix = [0] + np.linspace(
132		minimal_value * eta_at_min[es.node["bus output 0"]],
133		nominal_capacity * eta_at_nom[es.node["bus output 0"]],
134		9,
135		).tolist()
136
137		fix_flow = es.flows()[es.node["bus output 0"], es.node["sink 0"]]
138		fix_flow.fix = fix
139		fix_flow.nominal_capacity = 1
140
141		slopes = {}
142		offsets = {}
143
144		for bus in list(oc_inputs) + list(oc_outputs):
145		if bus == reference_bus:
146		continue
147		slope, offset = get_slope_and_offset(
148		1,
149		minimal_value / nominal_capacity,
150		eta_at_nom[bus],
151		eta_at_min[bus],
152		)
153		slopes[bus] = slope
154		offsets[bus] = offset
155
156		f.nonconvex = solph.NonConvex()
157		f.nominal_capacity = nominal_capacity
158		f.min = sequence(minimal_value / nominal_capacity)
159
160		oc = solph.components.OffsetConverter(
161		label="offset converter",
162		inputs=oc_inputs,
163		outputs=oc_outputs,
164		conversion_factors=slopes,
165		normed_offsets=offsets,
166		)
167
168		es.add(oc)
169
170
171		def test_custom_properties():
172		bus1 = solph.Bus()
173		bus2 = solph.Bus()
174		oc = solph.components.OffsetConverter(
175		inputs={
176		bus1: solph.Flow(nominal_capacity=2, nonconvex=solph.NonConvex())
177		},
178		outputs={bus2: solph.Flow()},
179		conversion_factors={bus2: 2},
180		normed_offsets={bus2: -0.5},
181		custom_properties={"foo": "bar"},
182		)
183
184		assert oc.custom_properties["foo"] == "bar"
185
186
187	View Code Duplication	def test_invalid_conversion_factor():
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188		bus1 = solph.Bus()
189		bus2 = solph.Bus()
190		with pytest.raises(ValueError, match="Conversion factors cannot be "):
191		solph.components.OffsetConverter(
192		inputs={
193		bus1: solph.Flow(
194		nominal_capacity=2, nonconvex=solph.NonConvex()
195		)
196		},
197		outputs={bus2: solph.Flow()},
198		conversion_factors={
199		bus1: 1,
200		bus2: 2,
201		},
202		normed_offsets={bus2: -0.5},
203		)
204
205
206	View Code Duplication	def test_invalid_normed_offset():
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207		bus1 = solph.Bus()
208		bus2 = solph.Bus()
209		with pytest.raises(ValueError, match="Normed offsets cannot be "):
210		solph.components.OffsetConverter(
211		inputs={
212		bus1: solph.Flow(
213		nominal_capacity=2, nonconvex=solph.NonConvex()
214		)
215		},
216		outputs={bus2: solph.Flow()},
217		conversion_factors={
218		bus2: 2,
219		},
220		normed_offsets={
221		bus1: -0.2,
222		bus2: -0.5,
223		},
224		)
225
226
227		def test_wrong_number_of_coefficients():
228		bus1 = solph.Bus()
229		bus2 = solph.Bus()
230		with pytest.raises(ValueError, match="Two coefficients"):
231		solph.components.OffsetConverter(
232		inputs={
233		bus1: solph.Flow(
234		nominal_capacity=2, nonconvex=solph.NonConvex()
235		)
236		},
237		outputs={bus2: solph.Flow()},
238		coefficients=(1, 2, 3),
239		)
240
241
242	View Code Duplication	def test_OffsetConverter_single_input_output_ref_output():
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243		num_in = 1
244		num_out = 1
245		es = create_energysystem_stub(num_in, num_out)
246
247		nominal_capacity = 10
248		minimal_value = 3
249
250		eta_at_nom = {es.groups["bus input 0"]: 0.7}
251		eta_at_min = {es.groups["bus input 0"]: 0.5}
252
253		add_OffsetConverter(
254		es,
255		es.groups["bus output 0"],
256		nominal_capacity,
257		minimal_value,
258		eta_at_nom,
259		eta_at_min,
260		)
261
262		results = solve_and_extract_results(es)
263
264		check_results(
265		results,
266		es.groups["bus output 0"],
267		nominal_capacity,
268		minimal_value,
269		eta_at_nom,
270		eta_at_min,
271		)
272
273
274	View Code Duplication	def test_OffsetConverter_single_input_output_ref_output_eta_decreasing():
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275		num_in = 1
276		num_out = 1
277		es = create_energysystem_stub(num_in, num_out)
278
279		nominal_capacity = 10
280		minimal_value = 3
281
282		eta_at_nom = {es.groups["bus input 0"]: 0.5}
283		eta_at_min = {es.groups["bus input 0"]: 0.7}
284
285		add_OffsetConverter(
286		es,
287		es.groups["bus output 0"],
288		nominal_capacity,
289		minimal_value,
290		eta_at_nom,
291		eta_at_min,
292		)
293
294		results = solve_and_extract_results(es)
295
296		check_results(
297		results,
298		es.groups["bus output 0"],
299		nominal_capacity,
300		minimal_value,
301		eta_at_nom,
302		eta_at_min,
303		)
304
305
306	View Code Duplication	def test_OffsetConverter_single_input_output_ref_input():
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307		num_in = 1
308		num_out = 1
309		es = create_energysystem_stub(num_in, num_out)
310
311		nominal_capacity = 10
312		minimal_value = 3
313
314		eta_at_nom = {es.groups["bus output 0"]: 0.7}
315		eta_at_min = {es.groups["bus output 0"]: 0.5}
316
317		add_OffsetConverter(
318		es,
319		es.groups["bus input 0"],
320		nominal_capacity,
321		minimal_value,
322		eta_at_nom,
323		eta_at_min,
324		)
325
326		results = solve_and_extract_results(es)
327
328		check_results(
329		results,
330		es.groups["bus input 0"],
331		nominal_capacity,
332		minimal_value,
333		eta_at_nom,
334		eta_at_min,
335		)
336
337
338	View Code Duplication	def test_OffsetConverter_single_input_output_ref_input_eta_decreasing():
		0 ignored issues – show Duplication introduced 2025-08-20 07:03 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
339		num_in = 1
340		num_out = 1
341		es = create_energysystem_stub(num_in, num_out)
342
343		nominal_capacity = 10
344		minimal_value = 3
345
346		eta_at_nom = {es.groups["bus output 0"]: 0.5}
347		eta_at_min = {es.groups["bus output 0"]: 0.7}
348
349		add_OffsetConverter(
350		es,
351		es.groups["bus input 0"],
352		nominal_capacity,
353		minimal_value,
354		eta_at_nom,
355		eta_at_min,
356		)
357
358		results = solve_and_extract_results(es)
359
360		check_results(
361		results,
362		es.groups["bus input 0"],
363		nominal_capacity,
364		minimal_value,
365		eta_at_nom,
366		eta_at_min,
367		)
368
369
370	View Code Duplication	def test_OffsetConverter_double_input_output_ref_input():
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371		num_in = 2
372		num_out = 2
373		es = create_energysystem_stub(num_in, num_out)
374
375		nominal_capacity = 10
376		minimal_value = 3
377
378		eta_at_nom = {
379		es.groups["bus output 0"]: 0.7,
380		es.groups["bus output 1"]: 0.2,
381		es.groups["bus input 1"]: 0.2,
382		}
383		eta_at_min = {
384		es.groups["bus output 0"]: 0.5,
385		es.groups["bus output 1"]: 0.3,
386		es.groups["bus input 1"]: 0.2,
387		}
388
389		add_OffsetConverter(
390		es,
391		es.groups["bus input 0"],
392		nominal_capacity,
393		minimal_value,
394		eta_at_nom,
395		eta_at_min,
396		)
397
398		results = solve_and_extract_results(es)
399
400		check_results(
401		results,
402		es.groups["bus input 0"],
403		nominal_capacity,
404		minimal_value,
405		eta_at_nom,
406		eta_at_min,
407		)
408
409
410	View Code Duplication	def test_OffsetConverter_double_input_output_ref_output():
		0 ignored issues – show Duplication introduced 2025-08-20 07:03 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
411		num_in = 2
412		num_out = 2
413
414		es = create_energysystem_stub(num_in, num_out)
415
416		nominal_capacity = 10
417		minimal_value = 3
418
419		eta_at_nom = {
420		es.groups["bus input 0"]: 0.7,
421		es.groups["bus output 1"]: 0.2,
422		es.groups["bus input 1"]: 0.2,
423		}
424		eta_at_min = {
425		es.groups["bus input 0"]: 0.5,
426		es.groups["bus output 1"]: 0.3,
427		es.groups["bus input 1"]: 0.2,
428		}
429
430		add_OffsetConverter(
431		es,
432		es.groups["bus output 0"],
433		nominal_capacity,
434		minimal_value,
435		eta_at_nom,
436		eta_at_min,
437		)
438
439		results = solve_and_extract_results(es)
440
441		check_results(
442		results,
443		es.groups["bus output 0"],
444		nominal_capacity,
445		minimal_value,
446		eta_at_nom,
447		eta_at_min,
448		)
449
450
451		def test_two_OffsetConverters_with_and_without_investment():
452		num_in = 1
453		num_out = 1
454
455		es = create_energysystem_stub(num_in, num_out)
456
457		nominal_capacity = 10
458		minimal_value = 3
459
460		eta_at_nom = {
461		es.groups["bus input 0"]: 0.7,
462		}
463		eta_at_min = {
464		es.groups["bus input 0"]: 0.5,
465		}
466
467		add_OffsetConverter(
468		es,
469		es.groups["bus output 0"],
470		nominal_capacity,
471		minimal_value,
472		eta_at_nom,
473		eta_at_min,
474		)
475
476		input_bus = es.groups["bus input 0"]
477
478		oc = solph.components.OffsetConverter(
479		label="investment offset converter",
480		inputs={input_bus: solph.Flow()},
481		outputs={
482		es.groups["bus output 0"]: solph.Flow(
483		nonconvex=solph.NonConvex(),
484		nominal_capacity=solph.Investment(
485		maximum=nominal_capacity, ep_costs=10
486		),
487		)
488		},
489		conversion_factors={input_bus: 1},
490		normed_offsets={input_bus: 0},
491		)
492
493		es.add(oc)
494
495		# Use of experimental API to access nodes by label.
496		# Can be removed with future release of network.
497		with warnings.catch_warnings():
498		warnings.simplefilter("ignore", ExperimentalFeatureWarning)
499		fix_flow = es.flows()[es.node["bus output 0"], es.node["sink 0"]]
500		fix_flow.fix = [v * 2 for v in fix_flow.fix]
501		# if the model solves it is feasible
502		_ = solve_and_extract_results(es)
503
504
505		def test_OffsetConverter_05x_compatibility():
506		num_in = 1
507		num_out = 1
508		es = create_energysystem_stub(num_in, num_out)
509
510		nominal_capacity = 10
511		minimal_value = 3
512
513		# Use of experimental API to access nodes by label.
514		# Can be removed with future release of network.
515		with warnings.catch_warnings():
516		warnings.simplefilter("ignore", category=ExperimentalFeatureWarning)
517		fix = [0] + np.linspace(minimal_value, nominal_capacity, 9).tolist()
518		fix_flow = es.flows()[es.node["bus output 0"], es.node["sink 0"]]
519		fix_flow.fix = fix
520		fix_flow.nominal_capacity = 1
521
522		eta_at_nom = 0.7
523		eta_at_min = 0.5
524
525		slope = (nominal_capacity - minimal_value) / (
526		nominal_capacity / eta_at_nom - minimal_value / eta_at_min
527		)
528		offset = minimal_value / nominal_capacity * (1 - slope / eta_at_min)
529
530		warnings.filterwarnings("ignore", "", DeprecationWarning)
531		oc = solph.components.OffsetConverter(
532		label="offset converter",
533		inputs={es.groups["bus input 0"]: solph.Flow()},
534		outputs={
535		es.groups["bus output 0"]: solph.Flow(
536		nonconvex=solph.NonConvex(),
537		nominal_capacity=nominal_capacity,
538		min=minimal_value / nominal_capacity,
539		)
540		},
541		coefficients=(offset, slope),
542		)
543
544		es.add(oc)
545		warnings.filterwarnings("always", "", DeprecationWarning)
546
547		results = solve_and_extract_results(es)
548
549		slope, offset = slope_offset_from_nonconvex_output(
550		1, minimal_value / nominal_capacity, 0.7, 0.5
551		)
552		output_flow = results["offset converter", "bus output 0"]["sequences"][
553		"flow"
554		]
555		output_flow_status = results["offset converter", "bus output 0"][
556		"sequences"
557		]["status"]
558
559		input_flow_expected = (
560		offset * nominal_capacity * output_flow_status + slope * output_flow
561		)
562		input_flow_actual = results["bus input 0", "offset converter"][
563		"sequences"
564		]["flow"]
565
566		np.testing.assert_array_almost_equal(
567		input_flow_actual, input_flow_expected
568		)
569
570
571		def test_error_handling():
572		input_bus = solph.Bus("bus1")
573		output_bus = solph.Bus("bus2")
574
575		with pytest.raises(TypeError, match="cannot be used in combination"):
576		warnings.filterwarnings("ignore", "", DeprecationWarning)
577		_ = solph.components.OffsetConverter(
578		label="offset converter",
579		inputs={input_bus: solph.Flow()},
580		outputs={
581		output_bus: solph.Flow(
582		nonconvex=solph.NonConvex(),
583		nominal_capacity=10,
584		min=0.3,
585		)
586		},
587		# values are arbitarty just to test the error
588		coefficients=(-1, 0.4),
589		conversion_factors={input_bus: 1},
590		normed_offsets={input_bus: 0},
591		)
592		warnings.filterwarnings("always", "", DeprecationWarning)
593
594		with pytest.raises(
595		ValueError, match="Conversion factors cannot be specified for"
596		):
597		_ = solph.components.OffsetConverter(
598		label="offset converter",
599		inputs={input_bus: solph.Flow()},
600		outputs={
601		output_bus: solph.Flow(
602		nonconvex=solph.NonConvex(),
603		nominal_capacity=10,
604		min=0.3,
605		)
606		},
607		conversion_factors={input_bus: 1, output_bus: 1},
608		normed_offsets={input_bus: 0},
609		)
610
611		with pytest.raises(
612		ValueError, match="Normed offsets cannot be specified for"
613		):
614		_ = solph.components.OffsetConverter(
615		label="offset converter",
616		inputs={input_bus: solph.Flow()},
617		outputs={
618		output_bus: solph.Flow(
619		nonconvex=solph.NonConvex(),
620		nominal_capacity=10,
621		min=0.3,
622		)
623		},
624		conversion_factors={input_bus: 1},
625		normed_offsets={input_bus: 0, output_bus: 0},
626		)
627

oemof / oemof-solph

test_invalid_conversion_factor() A last analyzed 2025-08-20 07:05 UTC

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test_invalid_conversion_factor() A
last analyzed 2025-08-20 07:05 UTC