Revision history [back]
Why does setting 'swh_src' to 'NaturalGas' results in errant ee-model outputs?
For the same building:
If 'swh_src' is set to 'Electricity' then the measures in ee-model yield reasonable results (i.e. 'Reduce Lighting Loads by 30%' results in an overall lower annual energy consumption' as compared to calibration best fit data point).
However, if 'swh_src' is set to 'NaturalGas', then all measures in ee-model seem to yield increased energy consumption (i.e. 'Reduce Lighting Loads by 30%' results in significantly higher annual energy consumption' as compared to calibration best fit data point).
Specifically, 'interior_equipment' end use significantly increases (~2.5x increase) with every ECM applied in ee-model when swh_src is natural gas and decreases (~2.5x decrease) when swh_src is electric.
With all other input parameters constant (e.g. calibration year, weather files, building attributes), why does the difference in 'swh_src' consistently yield these issues?
Why does setting 'swh_src' to 'NaturalGas' results in errant ee-model outputs?
For the same building:
If 'swh_src' is set to 'Electricity' then the measures in ee-model yield reasonable results (i.e. 'Reduce Lighting Loads by 30%' results in an overall lower annual energy consumption' as compared to calibration best fit data point).
However, if 'swh_src' is set to 'NaturalGas', then all measures in ee-model seem to yield increased energy consumption (i.e. 'Reduce Lighting Loads by 30%' results in significantly higher annual energy consumption' as compared to calibration best fit data point).
Specifically, 'interior_equipment' end use significantly increases (~2.5x increase) with every ECM applied in ee-model when swh_src is natural gas and decreases (~2.5x decrease) when swh_src is electric.
With all other input parameters constant (e.g. calibration year, weather files, building attributes), why does the difference in 'swh_src' consistently yield these issues?
Why does setting 'swh_src' to 'NaturalGas' results in errant ee-model outputs?
For the same building:
If 'swh_src' is set to 'Electricity' then the measures in ee-model yield reasonable results (i.e. 'Reduce Lighting Loads by 30%' results in an overall lower annual energy consumption' as compared to calibration best fit data point).
However, if 'swh_src' is set to 'NaturalGas', then all measures in ee-model seem to yield increased energy consumption (i.e. 'Reduce Lighting Loads by 30%' results in significantly higher annual energy consumption' as compared to calibration best fit data point).
Specifically, 'interior_equipment' end use significantly increases (~2.5x increase) with every ECM applied in ee-model when swh_src is natural gas and decreases (~2.5x decrease) when swh_src is electric.
With all other input parameters constant (e.g. calibration year, weather files, building attributes), why does the difference in 'swh_src' consistently yield these issues?
Why does setting 'swh_src' to 'NaturalGas' results in errant ee-model outputs?
For the same building:
If 'swh_src' is set to 'Electricity' then the measures in ee-model yield reasonable results (i.e. 'Reduce Lighting Loads by 30%' results in an overall lower annual energy consumption' as compared to calibration best fit data point).
However, if 'swh_src' is set to 'NaturalGas', then all measures in ee-model seem to yield increased energy consumption (i.e. 'Reduce Lighting Loads by 30%' results in significantly higher annual energy consumption' as compared to calibration best fit data point).
Specifically, 'interior_equipment' end use significantly increases (~2.5x increase) with every ECM applied in ee-model when swh_src is natural gas and decreases (~2.5x decrease) when swh_src is electric.
With all other input parameters constant (e.g. calibration year, weather files, building attributes), why does the difference in 'swh_src' consistently yield these issues?