SHP2SIM: a python pipeline for Modelica based district and urban scale energy simulations

Figures & data

Figure 1. Overview pipeline SHP2SIM.

Figure 2. FME workbench.

Figure 3. Case study area Campus Inffeldgasse.

Figure 4. Graphical representation of 3D CityGML model.

Figure 5. Yearly heat load for all simulated buildings in the use case area.

Table 1. Share of zones in the case study building.

%	Office	Floor	Laboratory	Storage	Meeting	Rest-room	ICT
Inffeldgasse 12	32.8	26.93	25.77	2.28	5.61	2.94	3.67

Table 2. Building parameters for Inffeldgasse 12.

Building parameters	Inffeldgasse 12
Building part	Building part 1	Building part 2	Building part 3	Building part 4
Model	Aixlib.ThermalZones.ReducedOrder.Multizone	Aixlib.ThermalZones.ReducedOrder.Multizone	Aixlib.ThermalZones.ReducedOrder.Multizone	Aixlib.ThermalZones.ReducedOrder.Multizone
Indoor air volume m3	2439	1826	1893	1289
Net floor area of building m2	506	253	300	300
Total surface area of walls and windows (including interior walls) m2	14985	7041	7347	4994
Year of construction	1976	1976	1976	1976
Number of zones	7	7	7	7
Zone parameters	See Modelica models on GitHub repository

Table 3. Simulated and measured heat load of the case study building for one year.

	Simulated heat load in kW	Measured heat load 2019 in kW	Difference in kW	Deviation in %	Euclidian norm of hourly data in kW
Inffeldgasse 12	428381	446620	18239	4.08	9991

Figure 6. Daily simulated and measured heat load for Inffeldgasse 12.

Figure 7. Simulated and measured heat load for Inffeldgasse 12 during day and night.

Figure 8. Indoor air temperature, set point for heater and heat load for Inffeldgasse 12 (building part 1 and zone 1 (office)) for first 10 days of simulation.

Table 4. Performance evaluation.

	R squared		CV(RMSE)		NMBE
	Daily	Monthly	Daily	Monthly	Daily	Monthly
Acceptable range (Meng and Mourshed 2017)	>0.7	>0.7	22.5%	15%	7.5%	5%
Inffeldgasse 12	0.9214	0.9825	23.51	22.10	4.06	4.06

Figure 9. Monthly simulated and measured heat load for Inffeldgasse 12.

Meng, Q., and M. Mourshed. 2017. “Degree-Day Based Non-Domestic Building Energy Analytics and Modelling Should Use Building and Type Specific Base Temperatures.” Energy and Buildings 155: 260–268. https://doi.org/10.1016/j.enbuild.2017.09.034.

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