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Real demonstration results of BEM performance

simulation using BIM-SPEED Toolset

Deliverable 4.2 – Energy Performance Report – Gdynia demo

Deliverable Report: <<version>>, issue date on << date >>

Deliverable Report: Final version, issue date on 31.10.2022

BIM-SPEED

Harmonised Building Information Speedway for Energy-Efficient Renovation

This research project has received funding from the European Union’s Programme H2020-NMBP-EEB-2018 under Grant Agreement no 820553.

Disclaimer

The contents of this report reflect only the author’s view and the Agency and the Commission are not responsible for any use that may be made of the information it

contains.

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 1 - 28

Issue Date 31st October 2022

Produced by FASADA (Lukaszewska A.)

Version: V 01

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This research project has received funding from the European Union’s Programme H2020-NMBP-EEB-2018 under Grant Agreement no 820553.

ENERGY REPORT - GDYNIA

Deliverable 4.2 – Energy Performance Report

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 2 - 28

Contents

TABLE OF FIGURES 3

TABLE OF TABLES 4

1. GENERAL INFORMATION 5

1.1 Building description 5

1.2 GIS and environmental data 7

2. ENERGY MODELLING 8

2.1 BIM-to-BEM procedure and software tools used 8

2.2 Auditing procedures and data collection 8

2.3 Description of BEM’s technical features 8

2.3.1 Envelope components and materials 8

2.3.2 HVAC systems 11

2.3.3 Occupancy, lighting, equipment and operating patterns 12

3. BEM CALIBRATION 15

3.1 Calibration methodology applied and results 15

4. BUILDING ENERGY PERFORMANCE SIMULATION RESULTS 15

4.1 General considerations 15

4.2 Energy KPIs 16

5. BUILDING RENOVATION SCENARIOS 18

5.1 Renovation scenarios proposed 18

5.2 Scenario 1: description and results 21

5.3 Scenario 2: description and results 22

5.4 Scenario 3: description and results 24

5.5 Scenario 4: description and results 25

6. TIME REDUCTION EVALUATION 27

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 3 - 28

Table of Figures

Figure 1: Residential building located in Ruchu Oporu 18, Gdańsk, Poland (photo from the Google map) ................ 5

Figure 2: Photos of the building before the renovation ............................................................................................... 6

Figure 3: Minimum, maximum and average air temperature distribution .................................................................. 7

Figure 4: HVAC settigns .............................................................................................................................................. 12

Figure 5: Occupancy schedule .................................................................................................................................... 13

Figure 6: Lighting schedule ......................................................................................................................................... 14

Figure 7: Equipment schedule .................................................................................................................................... 15

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 4 - 28

Table of tables

Table 1: Summary of general data ................................................................................................................................ 6

Table 2: Summary of general environmental data ....................................................................................................... 7

Table 3: Materials ......................................................................................................................................................... 9

Table 4: Construction systems ...................................................................................................................................... 9

Table 5: Construction systems .................................................................................................................................... 11

Table 6: HVAC systems ............................................................................................................................................... 11

Table 7: Internal gains features .................................................................................................................................. 12

Table 10: BS.OPED Operational Primary Energy Demand .......................................................................................... 16

Table 11: BS.TED Total Energy Demand ..................................................................................................................... 16

Table 12: BS.TEC Total Energy Consumption .............................................................................................................. 17

Table 11: Overview of the Gdynia Renovation Scenarios - Envelope ......................................................................... 18

Table 12: Overview of the Gdynia Renovation Scenarios – Building Systems ............................................................ 18

Table 13: BS.OPED Operational Primary Energy Demand .......................................................................................... 22

Table 14: BS.TED Total Energy Demand ..................................................................................................................... 22

Table 15: BS.TEC Total Energy Consumption .............................................................................................................. 22

Table 16: BS.TES Total Energy Savings ........................................................................................................................ 22

Table 17: BS.OPED Operational Primary Energy Demand .......................................................................................... 23

Table 18: BS.TED Total Energy Demand ..................................................................................................................... 23

Table 19: BS.TEC Total Energy Consumption .............................................................................................................. 23

Table 20: BS.TES Total Energy Savings ........................................................................................................................ 23

Table 21: BS.OPED Operational Primary Energy Demand .......................................................................................... 24

Table 22: BS.TED Total Energy Demand ..................................................................................................................... 24

Table 23: BS.TEC Total Energy Consumption .............................................................................................................. 24

Table 24: BS.TES Total Energy Savings ........................................................................................................................ 24

Table 25: BS.OPED Operational Primary Energy Demand .......................................................................................... 25

Table 26: BS.TED Total Energy Demand ..................................................................................................................... 25

Table 27: BS.TEC Total Energy Consumption .............................................................................................................. 25

Table 28: BS.TES Total Energy Savings ........................................................................................................................ 26

Table 29: Time reduction analysis for the BIM-to-BEM process compared to traditional BEM creation process ..... 27

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 5 - 28

1. General information

1.1 Building description

The building subjected to the renovation was constructed in year 1961 and it is located in Gdynia (Poland) at street

Ruchu Oporu 18. It is a typical residential two-family building. For the retrofitting was subjected left part of the

building (single family use), the building is shown in Figure 1 and Figure 2.

Figure 1: Residential building located in Ruchu Oporu 18, Gdańsk, Poland (photo from the Google map)

The building is a three/two storey building, depending on the building side. The level of the terrain is higher on the

south part of the building

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 6 - 28

Figure 2: Photos of the building before the renovation

Table 1: Summary of general data

General information

Location Gdynia, Poland

Use category Single family household

Building type Two storey building

Construction year 1961

Renovation year To be renovated

Number of floors 2

Number of apartments/units 2

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 7 - 28

1.2 GIS and environmental data

In order to apply proper environmental conditions to BEM, Energy+ weather file for nearest available location was

included, which is POL_Gdansk.Port.Polnocny.121400_IMGW.epw. Air temperature plot in °C along the year for

used weather file is visible in Error! Reference source not found.. Error! Reference source not found. contains

summary of general environmental data.

Figure 3: Minimum, maximum and average air temperature distribution

The following table provides a brief summary of the climate data.

Table 2: Summary of general environmental data

General environmental data

Location Gdynia, Poland

Weather file POL_Gdansk.Port.Polnocny.121400_IMGW.epw

Altitude [m] 64

Latitude [degrees] 54

Longitude [degrees] 18

Undistributed temp. of the soil [°C] 10

Network water temperature [°C] 8

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 8 - 28

2. Energy modelling

2.1 BIM-to-BEM procedure and software tools used

BIM model was exported from Revit into .ifc file. Following the BimSpeed guidelines, next step was upload of .ifc file

to bimserver.center platform using Ifc Uploader, provided by CYPE. When the model was on server, another tool

Open BIM Analytical Model was used to start operations on previously uploaded BIM model. Main purpose of this

software is to generate analytical model from geometry located in .ifc file, but its capabilities is quite wide. In Gdynia

demo it was needed to slightly simplify geometry of main entrance of the building. Moreover, there was necessity

to define adjacencies of surfaces which are not in contact with surrounding air, such as walls shared with building

next to our subject. One of the building’s external wall was in contact with soil, which was also possible to apply with

used tool. Last step in Open BIM Analytical Model is to create thermal spaces and assign them into groups

differentiating by the room purpose and usage profile.

Ready and saved analytical model is uploaded once again into bimserver.center platform and ready to import into

Open BIM Construction Systems tool. Software was used to define all types of external and internal partitions layer

by layer, providing specific physical properties for each of them.

Model updated with construction data was uploaded once again to platform and fetched into Cypetherm Eplus, in

order to complete definition of BEM model. All thermal boundary conditions are applied here to the model such as

rooms temperature profiles, lighting, ventilation, occupancy and so on.

2.2 Auditing procedures and data collection

Draft Building Information Model for the building was available before the project has started. The gathering of the

data was performed through the on-site visit and discussion with the building owner.

2.3 Description of BEM’s technical features

Looking from the front of the building, there are three stores and two entrances on first and second level. On the

back side, lowest level’s wall is under the ground, so there was a need to define it as basement wall. Walls adjacent

to another building were assumed as adiabatic, as there was no documented knowledge about thermal properties

of sibling construction.

2.3.1 Envelope components and materials

Envelope and internal partitions data were collected from buildings documentation, confronted by on-site

assessment and aggregated into Energy data collection spreadsheet. Gathering partitions data needed for BEM

creation made the process faster and more reliable. Table contains materials used in the model.

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 9 - 28

Table 3: Materials

Within following tables all the construction systems created for the Gdynia BEM using the Open BIM Construction

Systems tool and stored within a dedicated library linked to the workflow on BIMserver.center have been reported.

Table 4: Construction systems

External Walls_Reference name Layers Thickness [cm] Total Thickness [cm]

Data accuracy every material present ± 1 cm ± 1 cm

Exterior brick wall - 270mm

Plaster_01,5 1,5

27 Brick, Common_24 24

Plaster_01,5 1,5

Exterior brick wall - 560mm

Plaster_03 3

56 Polystyrene_12 12

Brick, Common_38 38

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 10 - 28

Plaster_03 3

Exterior brick wall - 200mm

Plaster_01 1

20 Brick, Common_18 18

Plaster_01 1

Exterior brick wall - 640mm

Plaster_03 3

Polystyrene_10 10

Brick, Common_48 48

Plaster_03 3

Internal Walls_Reference name Layers Thickness [cm] Total Thickness [cm]

Data accuracy every material present ± 1 cm ± 1 cm

Interior brick wall - 120mm

Plaster_01 1

12 Brick, Common_10 10

Plaster_01 1

Interior brick wall - 400mm

Plaster_01 1

40 Brick, Common_38 38

Plaster_01 1

Interior brick wall - 270mm

Plaster_01,5 1,5

27 Brick, Common_24 24

Plaster_01,5 1,5

Interior brick wall - 200mm

Plaster_01 1

20 Brick, Common_18 18

Plaster_01 1

Underground Walls_Reference name

Layers Thickness [cm] Total Thickness [cm]

Data accuracy every material present ± 1 cm ± 1 cm

Exterior brick wall - 480mm

Plaster_02 2

Polystyrene_06 6

Brick, Common_38 38

Plaster_02 2

Slab on Grounf Floor_Reference

name Layers Thickness [cm] Total Thickness [cm]

Data accuracy every material present ± 1 cm ± 1 cm

Bacement floor

Cement_02 2

30,00

Cement_03 3

Concrete, Lightweight 10

Gravel 15

Floor Slabs_Reference name Layers Thickness [cm] Total Thickness [cm]

Data accuracy every material present ± 1 cm ± 1 cm

Floor 0

Cement_03 3

32,00

Concrete, Lightweight_06 6

Concrete, Masonry

units_22 22

Plaster_01 1

Floor 1

Cement_03 3

26,00

Concrete, Lightweight_06 6

Brick, Common_16 16

Plaster_01 1

Roofs_Reference name Layers Thickness [cm] Total Thickness [cm]

Data accuracy every material present ± 1 cm ± 1 cm

Flat Roof Roofing, EPDM Membrane 1 40,00

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 11 - 28

Concrete, Sand/cement

screed 10

Roofing, EPDM Membrane 1

Concrete, Masonry units_27 27

Plaster_01 1,00

Table 5: Construction systems

Reference name

Thermal transmittance

WINDOW

[W/m2K]

Data accuracy ± 0,01

Windows_Sgl_Plain 3,1292

Windows_Dbl_Plain 3,1292

M_single-flush_int_80x200 3,18

M_single-flush_ext_84x200 2,61

2.3.2 HVAC systems

In simulated building, there are three types of thermal zones: three types of heated, occupied zones and other is not

occupied nor heated.

Table 6: HVAC systems

Thermal zone Space classification

Min comfort temperature

[°C] Ventialation demand DHW demand [l/day]

Data accuracy n.r. (description) ± 1 °C ± 1 l/s ± 1 l/day

Thermal Zone 01 Occupied 20 8,3 35 per person

Thermal Zone 02 Occupied 24 13,9 35 per person

Thermal Zone 03 Occupied 17 8.3 35 per person

Thermal Zone 04 Not occupied n.r. n.r. n.r.

Following figures show the HVAC setting of each thermal zone.

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 12 - 28

Figure 4: HVAC settigns

2.3.3 Occupancy, lighting, equipment and operating patterns

Gdynia BEM has been characterised also under the point of view of the internal gains as summarised in following

table 7.

Table 7: Internal gains features

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 13 - 28

Thermal zone Space classification

Installed light

power [W/m2]

Internal equipment

[W/m2]

Occupancy activity

level [W/person]

Thermal Zone 01 Occupied 1,9 8,3 126

Thermal Zone 02 Occupied 9,5 13,9 -

Thermal Zone 03 Occupied 1.9 8.3 126

Thermal Zone 04 Not occupied - - -

Relevant operating schedules and occupational patterns have been assumed based on standard residential uses and

on a few information collected from the users. Following figures show a few of the patterns set for the Gdynia BEM.

Figure 5: Occupancy schedule

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 14 - 28

Figure 6: Lighting schedule

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 15 - 28

Figure 7: Equipment schedule

3. BEM calibration

3.1 Calibration methodology applied and results

Owner of simulated building was not able to provide annual thermal energy utilization data. Due to the fact that

calibration methodology and energy calculations with the use of CypeTherm+ were performed within P2ENDURE

research project (https://www.p2endure-project.eu/en), and the demonstration building in Gdynia (from BIM-

SPEED project) and demonsrration buildings from P2ENDURE project have been constructed with similar

consyruction technology, the calibration approach from P2ENDURE project was reapeated for Gdynia demonstration

project. In P2Endure project in Polish demonstration buildings (in Gdynia and Warsaw) were successfully calibrated

basing on real annual thermal energy utilization data. Because of many similarities of both buildings, we decided to

repeat calibration steps from P2Endure building energy model in current BEM case. Calibration methodology

basically assumes that ventilation performance is decreased by 15% in all building’s thermal spaces.

4. Building energy performance simulation results

4.1 General considerations

All openings of the simulated building have very poor thermal insulation properties with factors 3.3 W/m2K for

windows and 2.6 W/m2k for entrance doors.

Most of external walls are insulated with 12 cm of polystyrene. Only external walls of entrance halls are not insulated

al all, while underground walls from the back side of the building have 6cm layer of polystyrene.

The highest heat consumption exists in thermal zones with highest minimum air temperature and

ventilation requirements, such as bathrooms and kitchen. In simulated building two of three bathrooms

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 16 - 28

happen to be located on the lowest, underground level with walls adjacent to the soil. As mentioned before, these

walls are insulated only with 6cm of polystyrene.

Analysis of results shows that the most heat consuming per square meter are entrance halls and underground

bathrooms. However, due to poor thermal performance of all window openings also all other spaces characterize

with high energy consumption.

4.2 Energy KPIs

The following Energy KPI have been calculated according to D4.1 descriptions.

BS.OPED: Operational Primary Energy Demand

The primary energy demand has been calculated from the final energy consumption at consumption point and

multiplied by the conversion factor (specific for Poland) for final energy to primary energy. The table below

summarises the primary energy demand related to natural gas and network electricity.

Table 8: BS.OPED Operational Primary Energy Demand

BS.OPED: Operational Primary Energy Demand

Ep [kWh/m2] 34.60

Energy vector

ef,total

fcep

ep,nr

(kWh/year)

(kWh/m²·year)

(kWh/year)

(kWh/m²·year)

Natural gas

4261.62

29.10

1.189

5067.17

34.60

where:

Cef,total:

Total energy consumption at consumption point, kWh/m²·year.

fcep: Conversion factor for final energy to primary energy obtained from non-renewable sources.

Cep,nr: Total non-renewable primary energy consumption, kWh/m²·year.

BS.TED: Total Energy Demand

The energy demand of the building is the total amount of energy the technical systems of the building (heating and

cooling) have to provide to maintain its indoor environment in comfortable conditions. The table below summarises

the results obtained from the calculation of the heating energy demand (there is no cooling for the Gdynia demo)

Table 9: BS.TED Total Energy Demand

BS.TED: Total Energy Demand

QHEATING [kWh/m2year] 152.6

QDHW [kWh/m2year] 27.6

QTOT [kWh/m2year] 180.3

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 17 - 28

BS.TEC: Total Energy Consumption

Total Energy Consumption has been calculated directly using the simulation engine of CYPETHERM EPlus. Following

table summarises Primary energy consumption for heating and domestic hot water production.

Table 10: BS.TEC Total Energy Consumption

BS.TEC: Total Energy Consumption

EPheat[kWh/m2]

192.0

EPcool[kWh/m2] Cooling not present

EPlight[kWh/m2] 7

EPdhw[kWh/m2] 34.8

EPTOT[kWh/m2]

233.8

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 18 - 28

5. Building renovation scenarios

There were several improvements proposed to baseline state of building. As a result, four renovation scenarios were

defined. Each of them consists of certain enhancements to envelope or building systems. All of them are listed and

described below.

5.1 Renovation scenarios proposed

For the Gdynia democase, the following building renovation scenarios have been assessed according to Task 7.1

premises. The following table summarises the configuration of each scenario.

Table 11: Overview of the Gdynia Renovation Scenarios - Envelope

Building Envelope

1. External

Wall insulation

2. Ventilated

3. Rooftop

module

4. Windows 5. Second

window

6. Indoor

insulation

(floors)

Scenario 01 x - x x x x

Scenario 02 - x - - x x

Scenario 03 x - x x - x

Table 12: Overview of the Gdynia Renovation Scenarios – Building Systems

Building Systems

7. Lighting 8. Radiators 9. Piping 10. Boilers 11.

Ventilation

12. PV 13. Thermal

solar

Scenario 01 x x x x - - x

Scenario 02 x x - - x - -

Scenario 03 x - - - - - -

Scenario 03 x - - - - x -

1. ETICS – External wall insulation

External walls and basement’s wall are insulated as following:

Position: External walls

Product website https://lambda.swisspor.pl/pl/page/29/lambda-plus-fasada

EXT

Thermal

Conductivity

(W/mK)

thickness

(m)

Thermal

Transmittan

ce U

(W/m

Thermal

resistance R

(W/m

Total

thickness

(m)

Total

Thermal

Transmittan

ce U

(W/m

EPS 032 0.032 0.12 0.26 3.75

0.56 1.43 0.70

0.52 1.54 0.65 0.64 0.227

0.40 2.00 0.50 0.52 0.235

0.27 2.96 0.34 0.39 0.244

INT

0.68 0.225

Brick wall 0.80

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 19 - 28

2. Ventilated

External walls are insulated and also ventilated as following

3. Rooftop module

Flat roof is insulated with EPS

4. Windows

Windows are replaced and installed with insulation break between them and building façade insulation.

Position: External bacement walls

Product website

https://termoorganika.pl/plyty-z-polistyrenu-ekstrudowanego-xps?gclid=Cj0KCQiAqbyNBhC2ARIsALDwAsBEgFQecnlcYtyZRktH6D7AKXG0eiI0c8o68UF_3cyVHPzWvOwr1-EaAljREALw_wcB

EXT

Thermal

Conductivity

(W/mK)

thickness

(m)

Thermal

Transmittan

ce U

(W/m

Thermal

resistance R

(W/m

Total

thickness

(m)

Total

Thermal

Transmittan

ce U

(W/m

Styrodur XPS 200-036 0.036 0.12 0.30 3.33

0.38 0.48 0.48

0.27 0.34 0.34 0.39 0.273

INT

0.50 0.263

Brick wall 0.80

Position: External walls

Product website

EXT

Thermal

Conductivity

(W/mK)

thickness

(m)

Thermal

Transmittan

ce U

(W/m

Thermal

resistance R

(W/m

Total

thickness

(m)

Total

Thermal

Transmittan

ce U

(W/m

Facing

0.23 0.08 0.285 0.35

Air gap

0.025 0.03 0.83 1.2

EPS 032 0.032 0.12 0.29 3.43

0.56 1.43 0.70

0.52 1.54 0.65 0.75 0.178

0.40 2.00 0.50 0.67 0.183

0.27 2.96 0.34 0.54 0.188

INT

0.79 0.176

Brick wall 0.80

Position: Flat roof

Product website https://lambda.swisspor.pl/pl/page/29/lambda-plus-fasada

EXT

Thermal

Conductivity

(W/mK)

thickness

(m)

Thermal

Transmittan

ce U

(W/m

Thermal

resistance R

(W/m

Total

thickness

(m)

Total

Thermal

Transmittan

ce U

(W/m

Bitumen membrane 0.180 0.01 18.00 0.06

EPS 032 0.032 0.20 0.29 3.43

Bitumen membrane 0.180 0.01 18.00 0.06

DMS ceilling 1.080 0.27 4.00 0.25

Plaster 0.80 0.01 1.64 0.61

INT

0.50 0.227

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 20 - 28

5. Secondary windows

Same windows as above, but installed without thermal bridge between them and façade insulation.

6. Indoor insulation (floors)

Interior and basement floors are insulated.

Manufactor DRUTEX

Product ID IGLO Energy Classic

Thermal Transmittance

0.9 W/m

Product website https://www.drutex.pl/pl/produkty/iglo-energy-classic.html

Position: Bacement floor

Product website https://termoorganika.pl/gold-dach-podloga

INT

Thermal

Conductivity

(W/mK)

thickness

(m)

Thermal

Transmittance U

(W/m

Thermal

resistance R

(W/m

Total thickness

(m)

Total Thermal

Transmittance

(W/m

Terracotta 1.050 0.02 52.50 0.02

Concrete 1.050 0.08 13.13 0.08

EPS 036 0.036 0.10 0.36 0.56

Bitumen felt 0.180 0.01 18.00 0.06

Concrete 0.600 0.10 6.00 0.17

Gravel 0.900 0.10 9.00 0.11

EXT

0.41 0.360

Position: Interior floor I

Product website https://termoorganika.pl/gold-dach-podloga

INT

Thermal

Conductivity

(W/mK)

thickness

(m)

Thermal

Transmittance U

(W/m

Thermal

resistance R

(W/m

Total thickness

(m)

Total Thermal

Transmittance

(W/m

Oak flooring 0.220 0.02 1.10 0.91

Concrete 1.050 0.06 17.50 0.06

EPS 100 0.036 0.04 0.90 1.11

Concrete blocks slab 0.250 0.22 1.14 0.88

Plaster 0.700 0.01 70.00 0.01

INT

0.35 0.710

Position: Interior floor II

Product website https://termoorganika.pl/gold-dach-podloga

INT

Thermal

Conductivity

(W/mK)

thickness

(m)

Thermal

Transmittance U

(W/m

Thermal

resistance R

(W/m

Total thickness

(m)

Total Thermal

Transmittance

(W/m

Oak flooring 0.220 0.02 1.10 0.91

Concrete 1.050 0.06 17.50 0.06

EPS 100 0.036 0.04 0.90 1.11

Klein’s ceilling 0.700 0.22 3.18 0.31

Plaster 0.700 0.01 70.00 0.01

INT

0.35 0.550

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 21 - 28

7. Lightening

Light bulbs are replaced with LEDs decreasing electricity consumption.

OCCUPIED Space type LIGHTING

Installed power [W] or [W/mq]

Rooms 0,7W/mq

Kitchen/Bathrooms 0,9W/mq

8. Radiators

Radiators are replaced with newer steel panel heaters.

9. Piping

Central heating piping is replaced and insulated, increasing overall system efficiency.

10. Boiler

Boiler is replaced with energy efficient gas condensing boiler.

11. 11. Ventilation

All ventilation ducts are replaced which ensure proper air flow through the system.

12. 12. PV

Assumed 5000 kWh/year is produced from PV installation located on the roof of the building.

13. 13 Thermal Solar

Domestic hot water is heated up with solar collectors, which lowers environmental fingerprint and primal energy

demand.

5.2 Scenario 1: description and results

Scenario 1 consists of:

 ETICS

 Rooftop module

 Windows

 Indoor insulation (floors)

 Radiators

 Piping

 Boilers

 Thermal Solar

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 22 - 28

The following KPIs have been calculated:

BS.OPED: Operational Primary Energy Demand

Table 13: BS.OPED Operational Primary Energy Demand

BS.OPED: Operational Primary Energy Demand

Ep [kWh/m2] 105.17

BS.TED: Total Energy Demand

Table 14: BS.TED Total Energy Demand

BS.TED: Total Energy Demand

QHEATING [kWh/m2year] 96.4

QDHW [kWh/m2year] 27.7

QTOT [kWh/m2year] 124.1

BS.TEC: Total Energy Consumption (and sub KPIs; Energy consumption for heating, cooling, lighting, DHW)

Table 15: BS.TEC Total Energy Consumption

BS.TEC: Total Energy Consumption

EPheat[kWh/m2] 105.2

EPcool[kWh/m2] Cooling not present

EPlight[kWh/m2] 0.7

EPdhw[kWh/m2] 34.8

EPTOT[kWh/m2]

105.9

BS.TES: Total Energy savings

Table 16: BS.TES Total Energy Savings

BS.TES: Total Energy Savings

Baseline Scenario 01 SAVING

EPheat[kWh/m2] 192 105.2 86.8

EPcool[kWh/m2] Cooling not present

EPlight[kWh/m2] 7 0.7 6.3

EPdhw[kWh/m2] 34.8 34.8 -

EPTOT[kWh/m2]

233.8 140.7 93.1

5.3 Scenario 2: description and results

Scenario 2 consists of:

 Ventilated

 Second window

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 23 - 28

 Indoor insulation (floors)

 Lighting

 Radiators

 Ventilation

The following KPIs have been calculated:

BS.OPED: Operational Primary Energy Demand

Table 17: BS.OPED Operational Primary Energy Demand

BS.OPED: Operational Primary Energy Demand

Ep [kWh/m2] 140.15

BS.TED: Total Energy Demand

Table 18: BS.TED Total Energy Demand

BS.TED: Total Energy Demand

QHEATING [kWh/m2year] 128.9

QDHW [kWh/m2year] 27.7

QTOT [kWh/m2year] 156.6

BS.TEC: Total Energy Consumption (and sub KPIs; Energy consumption for heating, cooling, lighting, DHW)

Table 19: BS.TEC Total Energy Consumption

BS.TEC: Total Energy Consumption

EPheat[kWh/m2] 140.3

EPcool[kWh/m2] Cooling not present

EPlight[kWh/m2] 0.7

EPdhw[kWh/m2] 34.8

EPTOT[kWh/m2]

175.8

BS.TES: Total Energy savings

Table 20: BS.TES Total Energy Savings

BS.TES: Total Energy Savings

Baseline Scenario 02 SAVING

EPheat[kWh/m2] 192 140.3 51.7

EPcool[kWh/m2] Cooling not present

EPlight[kWh/m2] 7 0.7 6.3

EPdhw[kWh/m2] 34.8 34.8 -

EPTOT[kWh/m2]

233.8 175.8 58

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 24 - 28

5.4 Scenario 3: description and results

Scenario 3 consists of:

 ETICS

 Rooftop module

 Windows

 Indoor insulation (floors)

 Lighting

The following KPIs have been calculated:

BS.OPED: Operational Primary Energy Demand

Table 21: BS.OPED Operational Primary Energy Demand

BS.OPED: Operational Primary Energy Demand

Ep [kWh/m2] 121.24

BS.TED: Total Energy Demand

Table 22: BS.TED Total Energy Demand

BS.TED: Total Energy Demand

QHEATING [kWh/m2year] 96.4

QDHW [kWh/m2year] 27.7

QTOT [kWh/m2year] 124.1

BS.TEC: Total Energy Consumption (and sub KPIs; Energy consumption for heating, cooling, lighting, DHW)

Table 23: BS.TEC Total Energy Consumption

BS.TEC: Total Energy Consumption

EPheat[kWh/m2] 121.3

EPcool[kWh/m2] Cooling not present

EPlight[kWh/m2] 0.7

EPdhw[kWh/m2] 34.8

EPTOT[kWh/m2]

156.8

BS.TES: Total Energy savings

Table 24: BS.TES Total Energy Savings

BS.TES: Total Energy Savings

Baseline Scenario 03 SAVING

EPheat[kWh/m2] 192 121.3 70.7

EPcool[kWh/m2] Cooling not present

EPlight[kWh/m2] 7 0.7 6.3

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 25 - 28

EPdhw[kWh/m2] 34.8 34.8 -

EPTOT[kWh/m2]

233.8 156.8 77

5.5 Scenario 4: description and results

Scenario 4 consists of:

 ETICS

 Rooftop module

 Windows

 Indoor insulation (floors)

 Lighting

 PV

The following KPIs have been calculated:

BS.OPED: Operational Primary Energy Demand

Table 25: BS.OPED Operational Primary Energy Demand

BS.OPED: Operational Primary Energy Demand

Ep [kWh/m2] 54.52

BS.TED: Total Energy Demand

Table 26: BS.TED Total Energy Demand

BS.TED: Total Energy Demand

QHEATING [kWh/m2year] 96.4

QDHW [kWh/m2year] 27.7

QTOT [kWh/m2year] 124.1

BS.TEC: Total Energy Consumption (and sub KPIs; Energy consumption for heating, cooling, lighting, DHW)

Table 27: BS.TEC Total Energy Consumption

BS.TEC: Total Energy Consumption

EPheat[kWh/m2] 121.3

EPcool[kWh/m2] Cooling not present

EPlight[kWh/m2] 0.7

EPdhw[kWh/m2] 34.8

EPPV [kWh/m2] -80.9

EPTOT[kWh/m2]

75.9

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 26 - 28

BS.TES: Total Energy saving

Table 28: BS.TES Total Energy Savings

BS.TES: Total Energy Savings

Baseline Scenario 03 SAVING

EPheat[kWh/m2] 192 121.3 70.7

EPcool[kWh/m2] Cooling not present

EPlight[kWh/m2] 7 0.7 6.3

EPdhw[kWh/m2] 34.8 34.8 -

EPPV [kWh/m2] 0 -80.9 80.9

EPTOT[kWh/m2]

233.8 75.9 157.9

BIM-SPEED D4.2 – Energy Performance Simulation Report – Gdynia democase page 27 - 28

6. Time reduction evaluation

Following table shows the results of the time reduction for the Gdynia democase. The BIM SPEED process completed

as previously described has been compared to the creation of a BEM using a traditional process, based on the

expertise of FASADA on similar buildings.

Table 29: Time reduction analysis for the BIM-to-BEM process compared to traditional BEM creation process

Workflow required for the BEM creation

Traditional process BIM SPEED PROCESS

activity

description

time required

(working days)

activity description time required

(working days)

BUILDING DATA COLLECTION (site inspection,

document/drawing analysis,..), specific data

for the thermal characterization are needed

a) direct geometrical measurements

(needed if detailed and reliable technical

drawings are not available)

2,5 Information extracted

directly from BIM 0,25

b) collection and detection of the thermal

characteristics of building components

(mapping of windows type, wall type…)

Information

extracted/partially

extracted from BIM

0,75

c) collection and identification of relevant HVAC

characteristics (installed power, type of

terminals, …)

0,5

Not included in BIM

(same for traditional

process)

0,5

d) data on building operational uses 0,5

Not included in BIM

(same for traditional

process)

0,5

2 Building geometry creation

a) 2D floorplans reconstruction from on site

measurements (needed if detailed and reliable

technical drawings are not available)

1,5

Not needed -

geometrical

information extracted

directly from BIM

b) creation of the 3D geometry of the building

directly with specific Building Energy Simulation

tools

creation of the

Analytical model using

BIM (just minor

adjustments may be

needed)

1,25

3 Building thermal characterisation

a) creation of the building components and

related libraries (e.g. materials, stratigraphies..) 2 the same as traditional

process 2

b) definition of the thermal zones (uses,

internal gains - occupancy, lighting, equipment

schedules - temperatures..)

2 the same as traditional

process 2

4 HVAC characterisation

a) creation of the HVAC components (and

related libraries) 0,5 the same as traditional

process 0,5

b) definition of the systems 1 the same as traditional

process 1

TOTAL TIME REQUIRED 14.5 8,75

BIM-to-BEM time reduction compared to current practice: 40%