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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).

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?

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?

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?

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?