Danmarks Tekniske Universitet

11115 Building energy and technical services -Integrated design

AssignmentPart 2

November 25, 2015

Charlotte Hauervig Jørgensen (s133618)Frederik Kastrup (s133640)

Jeppe Reindahl Rasmussen(s133619)Naja Kastrup Friis (s133613)

Peter Wullf Harslund (s133620)

Assignment (11115)

Abstract

The purpose of this paper is to describe the process of a project with the intention to designand dimension a new office building, for the Section of Indoor Climate and Building Physicsat DTU, that lives op to several determined requirements for both energy consumptionand indoor environment. To achieve this, the building was modelled in Google SketchUpand inserted in the program IDA ICE, which was then used to generate simulations of thebuilding performance. This report contains both considerations, strengths and weaknesses,reasons for most of the choices, data input as well as outputs, and a description of thefinal product, which fulfills the requirements of the regulation as well as those set fromthe beginning of the design process.

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Contents

1 Introduction 2

2 Performance requirements 3

3 Summary of the early stage of design 5

4 Approach to performance verification in IDA ICE 8

5 Final inputs for building components and services 11

6 Documentation of performance 156.a Energy consumption . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.b Indoor Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17

7 Conclusion 20

8 References 22

9 Appendices 239.a Appendix 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23

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1 Introduction

The purpose of this assignment is to design and optimize a new building for Section ofIndoor Climate and Building Physics at DTU Civil Engineering. This section has of-fices several places on DTU Campus, but wishes to be combined by moving all staff closeto building 118. Therefore, the new building will be situated between building 118 and119, connecting those by giving easy access to building 119 through the main entrance tobuilding 118. The gross area of the new building should be 420m2 and hold offices for 20employees, along with four 10m2 meeting rooms. Further requirements is presented in thenext section of this report.To fulfill this task, several steps have been examined. The first step was to define thetypes of rooms wanted in the building, taken into account both the indoor and energyrequirements for the overall building, including the fact that flexibility in the overall de-sign is wanted, since future activities may create new spatial needs. The next step was totest these room typologies by making parameter variations of a number of performancedecisive parameters, and afterwards choose the best parameters to include in the finalproposal. The third step was to sketch and choose between two alternatives of a wholebuilding design, wherein all the previous steps were taken into account. All of the stepsabove have been presented in Part 1.

The final step is presented in this report, Part 2 of the assignment, which has been touse a standard version of IDA ICE to optimize and document the indoor environment andthe energy use in the final design proposal of the whole building. To do this, a modelof the final building has been built in IDA ICE and different heating/cooling devices,ventilation systems, window types, shading controls, building materials and many otherparameters have been added, changed and optimized. Finally, numerous simulations havebeen performed and analyzed and the approach and results will be presented in this report.

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Assignment (11115)

2 Performance requirements

We wish to optimize the chosen building proposal from Part 1 in order for it to fulfill therequirements for the indoor environment and the energy consumption. The indoor envi-ronment will be designed for Category II according to EN15251, which has the followingspecifications for our building.

Table 1: Requirements

Criteria of indoor Design Criteria Referenceenvironment EN15251Ventilation rate, emissions from 0.35 l/s/m2 Table B.3 page 35building, very low pollutingVentilation rate, occupancy 7 l/s Table B.3 page 35per personAir quality indicator, 500 ppm above outdoor Table B.4 page 36CO2 Sedentary 1.2 met assumed 400 ppm outdoorSet point temperature range, 20-24(◦C) Table A.3 page 31(operative temperature) winterSet point temperature range, 23-26(◦C) Table A.3 page 31(operative temperature) summerRelative Humidity 25-60 % Table B.6 page 38PPD and PMV PPD < 10 % Table A.1 page 25

-0.5 < PMV < +0.5Lighting Em ≥ 500 lux on workplace Table D.1 page 41Acoustic environment Indoor noise < 35 dBA Range Table E.1 page 42

in offices 30-40 dBA

The energy consumption will be designed for Energy Class 2015 according to the DanishBuilding Regulations. The following specifications will be required for our building.

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Table 2: Criteria of energy consumption

Criteria of energy Design Criteria Reference, BRconsumptionTotal primary energy 41 kWh/m2 + 100 kWh/year/m2 Energy Consumption,

= 43.38 kWh/m2 pr. yearDimensioning heat loss for 6 W/m2 building envelope Energy Consumption,the building envelope 7.2.1.(10)Energy gain through windows 33 kWh/m2/year Energy Consumption,windows 7.4.2.(4)U-value, External wall U ≤ 0.2 W/m2K Appendix 6 Table 3U-value, Roof U ≤ 0.15 W/m2K Appendix 6 Table 3U-value, External floor U ≤ 0.15 W/m2K Appendix 6 Table 3U-value, Internal floor U ≤ 0.5 W/m2K Appendix 6 Table 3

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3 Summary of the early stage of design

When bringing together the Section of Indoor Climate and Building Physics, the newbuilding should be welcoming, inspiring and fulfill the requirements of the staff.Therefore, the new building will contain the following room typologies:

Offices for 20 employeesFour 10 m2 meeting roomsToiletsPrinter roomSmall kitchenSocialization area

Where the sizes for the two different office types has been chosen to 7.5 - 9 m2 for a singleoffice and 13 m2 for a person in a landscape office. To determine the best possible outcomefor the final building proposal with the indoor environment and the energy consumption inmind, parameter variations for the largest office on the 1st floor were made. The floor planin Appendix 2, shows the exact location of the current room. The parameter variationswere chosen to be examined for the windows, since the windows have a significant effecton daylight, energy loss and vision to the surroundings, which are important variables inour design process. The following parameter variations were made:

1. Small windows with large (glass area equivalent to 20% of the façade).2. Large windows with exterior solar shading (glass area equivalent to 20% of the facade).3. Large windows with small glass area (glass area equivalent to 20% of the facade).4. Large windows with large windowsills (glass area equivalent to 20% of the facade).5. Large windows with medium (glass area equivalent to 10% of the façade).

Results from the parameter variations are shown in Table 3 below.

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Table 3: Results from parameter variation

kWhCase Zone Zone AHU AHU

Heating Cooling Heating CoolingCase (1) 1133.6 303.7 294.3 128.0Case (2) 1247.7 174.8 300.3 145.6Case (3) 674.9 252.4 284.7 158.5Case (4) 875.9 304.4 288.4 141.5Case (5) 893.8 290.0 289.7 142.8

The results pointed towards the third parameter variation, Large windows with small glassarea, as the best design solution for the final building proposal. This seemed reasonable,since a smaller amount of glass area deliver less overheating in the summer and a smallerheat loss during the winter season. Unfortunately, this solution did not prove to be opti-mal when considering the daylight factor as an important variable. Nevertheless, each ofthe variations above can be taken into account when determining the final design of eachroom depending on their specific needs.Finally, the room typologies and results from the parameter variations resulted in twoalternatives of a whole building design shown below, where the chosen alternative is theone on the left.

(1) Chosen Alternative (2) Second Alternative

Figure 1: Sketches of the two considered alternatives

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The reasoning behind choosing the alternative on the left depended on multiple factors.This design provides the best conditions for daylight to reach far into the building, op-posed to the second alternative, where the top floor casts a shadow upon the rest of thebuilding. Another reason was the amount of heat loss. With the chosen alternative, thearea of exposed facade is minimized and therefore the heat loss is minimized. In furtheroptimization of the whole building, heating/cooling devices, ventilation systems, windowtypes, shading controls, building materials and many other parameters will be added,changed and optimized, including our experience from the parameter variations of thewindows.Finally, the chosen alternative does not behold a gross area for all floors of 420 m2, whichgives us the opportunity to add additional area to the building where needed.

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4 Approach to performance verification in IDA ICE

A list of the most important steps made during the simulation and modeling in IDA-ICEwill be presented in this section, but firstly there are several information needed to bementioned:

As described earlier, our final choice for optimization is Alternative 1, Figure 1.(1), butwith some regulations. Additional gross area was added to the model to make the totalarea become 420 m2 as required. The building is affected by many different parameters,and they were all (re)evaluated during the following process, where the final IDA ICEmodel was made. From the previous section, we obtained some values to work with; theoverall energy consumption is too high, so the main priority was to decrease this value.The model in IDA ICE was imported as a Google SketchUp model. The difficult part ofcreating the model in SketchUp is the fact that you need to create each room as a volumeor zone without walls or floors of any kind, not depending on whether they are interior orexterior. This gave us a SketchUp model shown in the illustration below:

Figure 2: The SketchUp model imported as zone geometry in IDA ICE

This model was then imported as zone geometry in IDA ICE, and IDA ICE then createdwalls and floors. This part went fine, but then a minor problem occurred; the façadefacing north is connected to building 119, which means that we can assume this façade to

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Assignment (11115)

have a heat loss of zero. But since this is not allowed in the program, a comment will bepresented in the section Documentation of performance.Another consequence of the connected north facing façade is that it gave us no possibility toadd windows to this façade. This explains why the windows in the model are facing south,east and west. All rooms were given at least one window except for one room, becauseit is not facing any facade. Additionally, no windows were added to the staircases, whichis beneficial for keeping the energy level at the right level, and allowed us to add extraor bigger windows in the bigger rooms, for example in the open office. During the firstsimulations, all windows measure 1.5 m x 1 m (1.5 m2) and were placed 1 m above thefloor.These windows are not the biggest windows on the market, but based on the neededamount of daylight in the offices, they have the needed properties, including a good U-value. Furthermore, heaters, persons, equipment and additional parameters were alsoadded to the calculations, in which the building is assumed to be used from 8:00 in themorning until 17:00 in the afternoon.The overall approach to the performance verification in IDA ICE after each design stepwill now be presented below, illustrated by the following diagram:

Figure 3: The overall approach to performance verification in IDA ICE

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Assignment (11115)

0. The first simulation of the building model is made with standard sized windows withoutshading, minimum requirements for U-values according to BR15, minimum requirementsfor indoor climate according to EN15251, same heating for day and night.

1. Setting realistic values for occupants, lighting and other elements that effects the needsfor heating, especially the amount of time that the occupants spend in each zone, and howoften electronics are switched on/off.

2. Instead of just barely obtaining the requirements of BR15, the U-values and linearthermal bridges of the building parts were optimized towards the requirements of BR20.

3. The size of the windows were adjusted to minimize heat loss and overheating, andthereby decrease the need for heating.

4. External shading was added to the windows along with settings for when the shadingwill be switched on/off.

5. Instead of only using the ventilation to warm up the building, radiators were placedand optimized due to the specific room.

6. Settings for control units were changed to specify when systems are switched on/off, incase the systems had to run with lowered capacity. An example could be when there areno occupants present in the building, especially during the night time, which allow someof the systems to be switched of.

The final inputs for the whole building in IDA ICE can be seen in the following section.In the section of Documentation of performance, we have chosen only to document andpresent the results for the most critical room, which is the big office for 6 persons on the2nd floor. The results for the rest of the rooms can be seen in Appendix 4.

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5 Final inputs for building components and services

After many considerations, we have determined the final inputs for our final buildingproposal, which can be seen in Figure 4 below, in IDA ICE.

Figure 4: The final model in IDA ICE

The U-values chosen for all the building constructions are listed below, coming from thewebpage of ISOVER, presented in References.

Table 4: U-Values for building elements

Building Construction External Wall Roof External FloorU-Value 0.08 W/m2K 0.08 W/m2K 0.08 W/m2K

The thermal bridges were set to be good in IDA ICE to fulfill the requirements of BR2015,and the window type for all of the windows were chosen to be a Sunshading Energy Glass,presented in References. The following values were added to the model:

Table 5: Values used in the IDA ICE model

Name Glazing Emissivity g (Solar τ (Solar τvis (Visible(U-Value) Heat Gain) Transmittance) Transmittance)

Window 0.6 W/m2K 0.013 0.32 0.28 0.54

The windows were modelled with an opening factor of 0.5 during the occupied hours in thesummer period. This was done in order to get a natural ventilation in the building, which

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reduces both the CO2 concentration and the relative humidity. Additionally, external solarshading was added to all windows, since all windows are facing east, south or west. Duringthe summer period, the shading factor for the external windows was set to be 0.5 in thehours from 10-15, since the solar heat gain was significantly high during this period fromthe early simulation. Furthermore, building 118 and 119 have been modelled as shadedbuildings in order to make the solar gain for our building more realistic. Both the AHU(Air Handling Unit) and the plant was set to have a variable supply air temperature andheating water temperature respectively, which vary as seen below:

(3) Temperature of air supply (4) Temperature of hot water supply

Figure 5: Temperatures of supplies

The temperature variation for the AHU was set up in order to ensure that the ventilationdid not cool too much during the winter, but at the same time cooled enough during thesummer. It is important to ensure that the supply air temperature does not vary too muchfrom the operative temperature, since this will be a reason for people to feel dissatisfied.The temperature variation for the plant has been set up in order to ensure that the watertemperature is high during the winter when the ambient temperature is low, so that theradiators and ventilation can deliver enough heat to the rooms. Likewise, the supply watertemperature should stay at 20◦C in the summer, when the ambient temperature passes15◦C. The domestic hot water is set to be 0.1 m3/m2 pr. year. Both the heat exchangerand the fan operator for the AHU, as well as the boiler and the chiller operator for theplant, was set to operate only during weekdays, because it is very energy consuming tohave it running in periods where the building is not used.The controller set point was modelled to be the same value for all the different zones in the

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building. The only difference between the zones is the needed daylight at the work plane,which for other rooms than offices has a minimum of 200 lux instead of 500 lux. Thiswas possible because the AHU system was chosen to be a VAV system that controls bothtemperature and CO2 concentration in the rooms. The following figures documents theinput for Relative humidity, CO2 concentration, Supply and return air flow and Daylightat workplaces, where the minimum and maximum temperature was set to be in the rangebetween 20-24◦C during the winter, and 23-26◦C during the summer.

(5) Requirements For Offices (6) Requirements For None Offices

Figure 6: Requirements to different kinds of rooms

The following Table 6 shows the number of occupants in the different room types alongwith the energy consumption for lighting and equipment.

Table 6: Use of different rooms

Group Big Office Entrance Meeting Room Singe Office Other Room(BO) (E) (MR) (SO) (OR)

Occup no/m2 0.08 0.1 0.5 0.125 0.1Lights W/m2 10 10 10 10 10

Equipment W/m2 7.5 0 10 10 0

After running a heat load simulation in IDA ICE with an ideal heater, it was possible todetermine the numbers of specific radiators needed in the rooms. The number of radiators,radiator types, radiator heights, radiator lengths, and the max power for the radiators canbe seen in Table 7 below.

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Figure 7: Information about the radiators

The radiators was defined with the most common temperature set of 75/65-20◦C with ak-value of 1.3. The cooling load simulation ran without an ideal cooler, because we onlywanted the AHU to be responsible for the cooling of the building. Therefore, all of thecooling needed for the building is coming from the ventilation, while the heating is a mixof ventilation and radiators.

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6 Documentation of performance

In the following section, the performance of energy consumption and indoor environmentin relation to the performance requirements will be documented and presented.

6.a Energy consumption

Figure 8: Delivered Energy Overview as output from IDA ICE

The energy consumption for the building is finalized to be 35 kWh/m2, so we obtain therequirements for BR2015 which is 41 kWh/m2 +1000 kWh/year/m2. In reality, the energyconsumption for the building is lower than the finally calculated energy consumption, sincethe building in IDA ICE has been modelled with the north façade facing the exterior. Butthe building is actually facing building 119, which is a heated building. Therefore, theheat loss during the winter will be much lower than the current value.

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Figure 9: Monthly Delivered Energy

The diagram on Figure 9 shows the variation of the total energy use for a whole year. Inthe winter we have a need of fuel heating, while in the summer there is a need for someelectric cooling from the ventilation system.

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6.b Indoor Environment

To prove that the indoor environment obtains performance requirements according toEN15251, we have chosen to show the following graph on Figure 10 of the operative tem-perature for the most critical room, which is the big office for 6 persons on the 2nd floor.

Figure 10: Operative Temperature

It can be seen that we fulfill the requirements of the operative temperature according totable A.3 in EN15251. Mostly we are in the good end of the categories, but the graphalso shows that there is a big amount of hours where the operative temperature is justacceptable or even unacceptable. The hours are not the occupancy hours even though theoutput from IDA ICE says so. These hours lie in the weekends or during the night, wherethere does not exist any strict requirements for the operative temperature.

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(7) PMV (8) PPD

Figure 11: Graphs of PMV and PPD

For the PMV and PPD we would like it to fulfill the requirements of Category II accordingto table A.1 in EN15251. The graphs on Figure 11 above show that the PMV occasionallybecomes slightly higher than wanted, but most of the time it is lower, which means that itvaries from −0.4 <PMV< 0.6 when it should have been varying between −0.5<PMV< 0.5.However, since the PMV is a very complex number to measure, we can say that we arewithin the acceptable limits.For the PPD it is almost the same; here the interval lies between 7%<PPD<13%. Sincewe want to obtain less than 10% of dissatisfaction, and since we are nearly equal the sameamount over 10% as we are under 10%, we assume that we are within the acceptablelimits.

(9) RH (10) CO2

Figure 12: Graphs of RH and CO2

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As shown in the graph above, the requirements for the relative humidity, according Ta-ble B.6 in EN15251, are fulfilled in the most critical room of the building. The RH isonly higher than 60% in two cases; which are both during the night when the operativetemperature decreases, leading to a higher RH value. The criteria of RH < 60 is onlyfor occupied hours, which means that the acceptable limits are obtained. However, it isstill important to ensure that the RH does not approaches 100% during the night, whichwould result in condensation in the building and cause possible moisture damage.Concerning the CO2 concentration, the graph clearly shows that the values are below 900ppm during the whole year. This is partly due to the chosen VAV-system, which waschosen to control the ventilation according to the amount of CO2 concentration in theroom. The maximum value was set to be 900 ppm, which is 500ppm above the outdoormean concentration of CO2, assumed to be 400ppm.

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7 Conclusion

In this project, a new building for Section of Indoor Climate and Building Physics atDTU Civil Engineering was created and optimized, in order to combine the staff of thesection in an interesting and creative environment. The conceptual ideas of the design inthis project was to create a building that somehow stands out from the normal, squaredbuildings, which are very characteristic for the DTU Campus. Additionally, the energyperformance should obtain the requirements of the Energy Class 2015 according to theDanish Building Regulations, and the indoor environment should be in class II in DS/EN15251.

To fulfill this task, several steps were examined. In Part 1, two alternatives of a wholebuilding proposal were made. One of these was chosen based on the results of several pa-rameter variations and because of many other benefits of this alternative, both aestheticand practical. After establishing the room typologies and their specific requirements forthe chosen building proposal, our examinations gave us an overall building design to de-velop and optimize in the second part of the project.

Thereafter, the model of the chosen building proposal was created in IDA ICE, whereinevery chosen parameter was set. Schedules for water, heaters, shading and so on wascreated, and all of the parameters were changed back and forth, until the final result ofthe energy consumption for the building was below 43.8 kWh/m2/year, which was calcu-lated as the requirement for our building. The final energy consumption ended up being44.5 kWh/m2/yr, which at a first glance seems too high according to the previous statedrequirement. However, this value is to some extent lower in real life, due to the heat lossfrom the north façade, facing the exterior instead of building 119, which could not be setin IDA ICE. Yet, our conclusion on the energy consumption is that the requirements wereobtained.Regarding the indoor environment, the results from the simulations performed in IDAICE were promising. The building is designed for 20 employees with both single officesand meeting rooms, toilets, stairs and other utilities needed in an office building. Becauseof the following chosen values for glazing at 0.6, U-values at 0.8, Domestic hot waterat 0.1 L/m2 and the total energy consumption of the radiators at 15,054 W, the indoorenvironment proved to be obtaining the wanted requirements. The relative humidity iskept between 25-60%, the CO2 concentration between 500 and 900 ppm, the lighting is

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above 500 lux and the PMV and PPD values are obtained with an operative temperaturebetween 23◦C and 26◦C. Therefore, our conclusion on the indoor environment is the sameas that of the energy consumption, that the requirements are obtained.

As a whole, the project has introduced and provided us with several new and challeng-ing design approaches and simulation methods, which will be useful and beneficial in ourforthcoming projects as engineering students and working engineers.

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8 References

11141 Energi og Indeklima, Forelæsningsnotat; DTU BYG; 2013; page 24

DS/EN 15251; 1. udgave; Danish Standard; 12. of December 2010

BR10; Version 1; The Danish Ministry of Economic and Business Affairs Danish En-terprise and Construction Authority; 12. of December 2010

Glasfakta 2015; NSG GROUP

http://www.isover.dk; visited on November 11th

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9 Appendices

9.a Appendix 1

Building services for each floor in the final building.

(11) First Floor (12) Legend

Figure 13: Building service for First Floor and legend

(13) Second Floor(14) Second Floor

Figure 14: Building service for Second and Third Floor

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17800

12000

Elevation South, 1:100

12000

14300

Elevation East, 1:100

12000

14300

Elevation West, 1:100

First floor

Second floor Third floor

Floor plans made in Revit, 1:200

17400

13900

11790 539013900

Corridor

MeetingRoom

Office

Room

Singleoffice

Stairs

Toilet

Room typologies made in Revit, 1:200

Cross section, 1:100

Input data Report

Project Building Model floor area 361.0 m2

Customer Model volume 1087.0 m3

Created by Peter Harslund Model ground area 181.7 m2

Location Copenhagen Model envelope area 826.8 m2

Climate file Värlöse (Copenhagen) TRY Window/Envelope 6.9 % Case Final model Average U-value 0.1315 W/(K·m2) Simulated 25-11-2015 11:55:37 Envelope area per Volume 0.7606 m2/m3

Wind driven infiltration airflow rate 151.044 l/s at 50.000 Pa

Building envelope Area [m2] U [W/(K m2)] U*A [W/K] % of total Walls above ground 397.10 0.08 32.65 30.03 Walls below ground 0.00 0.00 0.00 0.00

Roof 185.38 0.08 14.89 13.70Floor towards ground 181.65 0.05 9.55 8.79Floor towards amb. air 3.73 0.08 0.29 0.27

Windows 57.30 0.55 31.40 28.88 Doors 1.60 0.08 0.13 0.12

Thermal bridges 19.80 18.21 Total 826.76 0.13 108.72 100.00

Thermal bridges Area or Length Avg. Heat conductivity Total [W/K]External wall / internal slab 97.47 m 0.005 W/(K m) 0.487External wall / internal wall 143.72 m 0.005 W/(K m) 0.719External wall / external wall 48.46 m 0.060 W/(K m) 2.908External windows perimeter 160.40 m 0.020 W/(K m) 3.208

External doors perimeter 5.60 m 0.020 W/(K m) 0.112 Roof / external walls 86.45 m 0.070 W/(K m) 6.051

External slab / external walls 64.80 m 0.080 W/(K m) 5.184 Balcony floor / external walls 0.00 m 0.000 W/(K m) 0.000 External slab / Internal walls 123.09 m 0.005 W/(K m) 0.615

Roof / Internal walls 103.60 m 0.005 W/(K m) 0.518 External walls, inner corner 7.49 m 0.000 W/(K m) 0.000

Total envelope area 857.54 m2 0.000 W/(K m2) 0.000 Extra losses - - 0.000

Sum - - 19.803

Windows Area [m2]

U Glass [W/(Km2)]

U Frame [W/(K m2)]

U Total [W/(K m2)]

U*A [W/K]

Shading factor g

ENE 24.00 0.60 0.08 0.55 13.15 0.32 SSE 13.50 0.60 0.08 0.55 7.40 0.32WSW 19.80 0.60 0.08 0.55 10.85 0.32 Total 57.30 0.60 0.08 0.55 31.40 0.32

Air handling

unit

Pressure head supply/exhaust [Pa/Pa]

Fan efficiency supply/exhaust [-/-]

System SFP[kW/(m3/s)]

Heat exchanger temp. ratio/min exhaust temp.

[-/C] AHU 600.00/400.00 0.85/0.85 0.71/0.47 0.85/1.00

Side 1 af 2Input data Report

25-11-2015file:///C:/Users/Peter/AppData/Local/Temp/idamod46/Final%20model/indata-report.h...

DHW use m3/m2 floor area and year Total, [l/s] 0.100 0.001

Occupant schedules in zones (click to expand/contract)Schedule name Percentage of zones with this schedule (% of total zone area).

08-17 weekdays stairs 25.31 08-17 weekdays toilet 5.12

08-17 weekdays big office 38.1408-17 weekdays meeting rooms 13.42 08-17 weekdays office rooms 18.01

Lighting schedules in zones (click to expand/contract)Schedule name Percentage of zones with this schedule (% of total zone area).

08-17 weekdays stairs 25.31 08-17 weekdays toilet 5.12

08-17 weekdays big office 38.1408-17 weekdays meeting rooms 13.42 08-17 weekdays office rooms 18.01

Equipment schedules in zones (click to expand/contract)Schedule name Percentage of zones with this schedule (% of total zone area).

08-17 weekdays stairs 25.31 08-17 weekdays toilet 5.12

08-17 weekdays big office 38.1408-17 weekdays meeting rooms 13.42 08-17 weekdays office rooms 18.01

Controller setpoints in zones (click to expand/contract)Setpoints Max/Min Percentage of zones with these setpoints (% of total zone area). COMPLEX/COMPLEX 100.00

IDA Indoor Climate and Energy Version: 4.62 License: IDA40:ED144/Q4G1V (educational license)

Side 2 af 2Input data Report

25-11-2015file:///C:/Users/Peter/AppData/Local/Temp/idamod46/Final%20model/indata-report.h...