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Bus Methane Fuel Cell¤

Bus Technology Overview¤

The Bus technology category encompasses city buses designed specifically for urban transportation.

Bus Performance and Usage Metrics¤

The key performance and usage metrics for buses are outlined as follows:

  • Annual Distance (dannual): City buses have an annual mileage of 56,000 km.
  • Average Occupancy Rate (nlpv): The average occupancy rate is 14 passengers per vehicle, as reported by STM.
  • Utilization Factor: The utilization factor is established at 35%, resulting of an average speed of 18 (km/h) 1.
  • Reference Capacity: This yields a reference capacity of 63.89 passenger-kilometers per hour (pkm/h), determined using the formula:
\[ ref_{size} = \dfrac{d_{annual} \cdot n_{lpv}}{8760 \cdot c_p} \]

Where cp represents the capacity utilization percentage.

Methane Fuel Cell¤

Methane fuel cell vehicles leverage the chemical energy of methane, CH4, to generate electricity through a fuel cell. These vehicles operate on the principle of converting methane directly into electrical energy, which then powers the vehicle’s electric motor.

ES Model Parameters¤

All the parameters concerning the Bus Methane Fuel Cell are listed in the table below.

Traceback (most recent call last):
  File "/root/.local/share/hatch/env/virtual/energyscope/4BIeM0-F/docs/lib/python3.10/site-packages/markdown_exec/formatters/python.py", line 71, in _run_python
    exec_python(code, code_block_id, exec_globals)
  File "/root/.local/share/hatch/env/virtual/energyscope/4BIeM0-F/docs/lib/python3.10/site-packages/markdown_exec/formatters/_exec_python.py", line 8, in exec_python
    exec(compiled, exec_globals)  # noqa: S102
  File "<code block: n535>", line 3, in <module>
    print(MdDisplay.print_md_params(bib_file_path='docs/assets/ES_Canada_3.bib', filter_entry='BUS_FC_HYBRID_CH4'))
  File "/root/.local/share/hatch/env/virtual/energyscope/4BIeM0-F/docs/lib/python3.10/site-packages/bibdatamanagement/md_display.py", line 81, in print_md_params
    df_filtered["source_reference"] = df_filtered.apply(
  File "/root/.local/share/hatch/env/virtual/energyscope/4BIeM0-F/docs/lib/python3.10/site-packages/pandas/core/frame.py", line 4301, in __setitem__
    self._set_item_frame_value(key, value)
  File "/root/.local/share/hatch/env/virtual/energyscope/4BIeM0-F/docs/lib/python3.10/site-packages/pandas/core/frame.py", line 4459, in _set_item_frame_value
    raise ValueError(
ValueError: Cannot set a DataFrame with multiple columns to the single column source_reference

References¤

Traceback (most recent call last):
  File "/root/.local/share/hatch/env/virtual/energyscope/4BIeM0-F/docs/lib/python3.10/site-packages/markdown_exec/formatters/python.py", line 71, in _run_python
    exec_python(code, code_block_id, exec_globals)
  File "/root/.local/share/hatch/env/virtual/energyscope/4BIeM0-F/docs/lib/python3.10/site-packages/markdown_exec/formatters/_exec_python.py", line 8, in exec_python
    exec(compiled, exec_globals)  # noqa: S102
  File "<code block: n536>", line 3, in <module>
    print(MdDisplay.print_md_sources(bib_file_path='docs/assets/ES_Canada_3.bib', filter_entry='BUS_FC_HYBRID_CH4'))
  File "/root/.local/share/hatch/env/virtual/energyscope/4BIeM0-F/docs/lib/python3.10/site-packages/bibdatamanagement/md_display.py", line 126, in print_md_sources
    df_filtered["source_reference_long"] = df_filtered.apply(
  File "/root/.local/share/hatch/env/virtual/energyscope/4BIeM0-F/docs/lib/python3.10/site-packages/pandas/core/frame.py", line 4301, in __setitem__
    self._set_item_frame_value(key, value)
  File "/root/.local/share/hatch/env/virtual/energyscope/4BIeM0-F/docs/lib/python3.10/site-packages/pandas/core/frame.py", line 4459, in _set_item_frame_value
    raise ValueError(
ValueError: Cannot set a DataFrame with multiple columns to the single column source_reference_long

  1. The bus network and the schedules enlightened. (2023, October 24). Retrieved from https://www.stm.info/en/info/networks/bus-network-and-schedules-enlightened ⧉ ↩