Modelling of Modern Dwelling Building in Bulgaria



Introduction

The impetuses for the Building Energy and Environmental Simulation are the growing activities in improving energy efficiency of building performance, quality of life and sensitive to the interconnectivity with the ecology of planet Earth. Until recently, fossil fuels were considered essential to industrial growth and living standards. Air and water pollution, and adverse effects of a climate and the environment were of secondary importance.

Analytical models are the tools in which both development and financial decisions are made. At present, most energy-making is based on old financial paradigms focused on the weighted costs of capital. New approaches to define the risks of investment and the cost associated with these risks must be more adroitly incorporated into financially decision-making. Risks associated with energy choices transcend simplistic environmental externalities to security of supply, waste disposal, transport costs and access to supply, labour and capital.

It is in this context that new and accurate methodology for energy calculations is most crucial for the design and analysis of the performance of space heating and cooling systems. It is generally accepted that buildings can be designed to be energy effective if their thermal insulation is increased; window size, air leakage, and lighting level decreased; shading devices properly installed; heating and cooling system adequately designed, installed, and maintained; and their storage capability most fully utilized. These energy saving features, however, must be considered with reference to numerous constraints, such as added costs for material, construction and maintenance, conformance to local building codes, occupancy life styles, aesthetics, construction practices, and availability of equipment.



Simulation model of Building

Simulation model of Building includes the following parts: valid data model (description of the building, climatic data for the concerning region), simulation s procedures and computer programs for simulation processing, analyze of received results etc. To calculate the heating and cooling requirements for an entire building generally will require extensive thermal analysis.

The following computer programs we have used (created by ECOTHRTMINGEENERING Ltd and West-Sout University in Blagoevgrad) to make energy simulations of buildings:

A computer model named HC_LOAD is used to collect and analyze building construction data, climatic data, and data for external and internal gains to the building.

A computer model named SES_LOAD calculates seasonally and yearly energy requirements of the buildings. This program uses data from computer model HC_LOAD (maximal value of a heating or cooling load) and monthly or annual temperature distribution (table 2, fig.3) to calculate monthly, seasonally or yearly energy for heating or cooling.

A computer program SOLAR was created to calculate direct solar gains to the living space of building through the windows. This program uses available climatic data for a solar radiation and optical characteristic of the transparent elements of the used windows in the building.

In any cases we use program PASS_SYS to simulate thermal performance of indirect passive solar systems with a massive wall. We use this program also, to investigate the transient thermal processes in massive building constructions when that is needed. This program solves the transient equation of thermal conductivity in walls taking into account all thermal processes on the boundary (convection, radiative thermal exchange, solar radiation etc.).

A computer model named NET_SYS was created to make a detailed calculation for a heating and cooling installations. This includes: hydraulic calculations for pipe nets, sizing a heating and cooling devices, heat exchangers, pumps, controlling and regulating elements etc.

General Information

Building description

The first step of Building Energy and Environmental Simulation is the description of the building. This includes: schemes or photo of the building, dimensions and composition, orientation, buildings' function, urban structure of the site and dwelling complex etc.

Worked example

The dwelling type chosen for a presented example is the modern building of a new dwelling complex situated near Bulgaria buld. in south of Sofia . This is a block numbering No 40-42. The building is oriented on a north-south axis (see figure 1a) and has well glazed west and east facades. The Eastern and Western facade of the building are presented on fig.ures1 and 2. Northern and Southern sides of building are attached to other buildings. Figure 3 shows the vertical cross-sectional configuration of the building. Several buildings form detached group comprising three and four story blocks with inner yard and garden.

Fig. 1a. Site Plan

fig 1

fig 2

fig 2

The building is four story block with two separated entrances. The building will be equipped with central heating system using liquid fossil fuel

To improve design and thermal performance of the building, the ordinary masonry walls and double wooden windows were foreseen.

Natural ventilation is possible by opening the western front doors and all the eastern windows to get across flow of air through the building.

The base characteristics of the building are received by computer module HC_LOAD:


Total volume of the building Vt - 3460 m3
Total surface area Ft - 1792 m2
Total external doors and windows area - 263 m2
Building construction parameter Ft/Vt - 0.594

Place - climatic data

Table 1. Monthly ambient temperatures for Sofia Region

Table 2. Monthly and annual frequency distribution of ambient temperature for Sofia [hours]

Ta

-19

-18

-17

-16

-15

-14

-13

-12

-11

-10

-9

-8

-7

-6

-5

-4

-3

-2

-1

0

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

30Jan

0

0

0

1.1

3.1

4.4

6.4

10

14.4

16.3

19.3

23.7

30.4

36.8

49.1

54.7

58.4

59.8

58.8

64.8

58.6

50.8

42.2

33.2

16.2

11.9

8.3

5.6

3.5

1.1

0.7

0.3

0.1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

744

Feb

0

0

0

0

0.3

0.8

2.4

4.4

6.2

7.7

10.2

12.4

15.3

19.4

32.6

39.1

45.1

50.2

53.8

52.6

52.3

50.1

46.3

41.2

35.8

29.6

23.2

18

13.3

5.5

3.8

2.3

1.5

1.2

0.9

0.4

0.1

0

0

0

0

0

0

0

0

0

0

0

0

0

678

March

0

0

0

0

0

0

0

0

0

0.9

1.5

2.5

3.8

5.6

11.4

15.7

10.9

26.6

33.3

42.8

49.3

54.8

58.7

60.7

52

50

46.4

41.5

36.6

36

29

22.7

17

12.2

4.7

3.2

2.1

1.3

0.8

0

0

0

0

0

0

0

0

0

0

0

744

Apr

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

2

5

81

12.6

18.4

25.8

29.8

38

46.2

53.2

58.2

67.4

66.8

63.1

56.6

48.4

38.4

29.4

21.9

15.3

10.2

3.9

1.1

0.2

0

0

0

0

0

0

0

0

720

May

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.4

0.7

1.4

1.8

2.1

3.8

6.5

9.4

15.6

33

44.5

56

66.3

73.8

75.8

74.8

69.9

60.9

50.2

33.8

24.9

17.1

11.1

6.7

2

1

0.8

0

0

0

744

Jun

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

32.7

7.1

12.5

20.5

30.6

47.5

61.2

72.9

80.2

81.5

82

71.1

57

41.8

28.9

9.6

5.6

3

1.9

1.4

0

72

Jul

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1.3

2.6

4.1

5.3

6.6

15.2

28.1

41.5

56.7

70.1

98.

101.6

95.5

81.9

64

30.5

19.5

11.4

5.9

3.2

0.4

744

Aug

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1.1

2.4

3.6

5.4

8.2

26

39

54.7

69.7

81.7

91.3

90.3

82

68.4

52.1

28.6

18.5

11

6

3.1

0.9

744

Sept

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0.9

1.9

3.5

6

9.2

17.3

26

36.1

47.6

57.9

80.1

84.8

83.6

76.8

65.8

42.2

31.1

21.8

13.1

8

2.8

1.6

1

0.9

0

0

720

Oct

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1.1

3.2

5.1

7.8

11

28.5

38.8

50.8

62.2

71.7

69.9

71.7

69.4

63.3

54.5

43.5

32.9

24

16.3

10.5

4.5

2.2

0.7

0.4

0

0

0

0

0

0

0

744

Nov

0

0

0

0

0

0

0

0

0

0

0.1

1.5

2.5

3.3

5

6.5

9.9

14.5

20.3

28.4

36.6

44.5

51.6

57.2

62.9

63.4

61.1

56.1

49.2

45.7

36.1

27.8

20.3

14.1

2.4

0.7

0.3

0

0

0

0

0

0

0

0

0

0

0

0

0

722

Dec

0

0

0

0

0.4

0.6

2

3.5

6

7.6

10.6

13.6

18.4

23.8

32.5

39.3

45.6

51

54.8

64.3

63.9

61.1

56.2

49.7

36.4

29.5

23

17

12.6

8.2

5.1

3.6

2.5

1.2

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

744

Ann

3.8

5.8

10.8

17.9

26.6

32.5

41.7

53.7

70.4

88.9

130.6

155.3

179.9

202.1

233

259

272.4

279.7

282.6

280.6

264.6

266.9

269

269

269.9

290.2

295.8

301.5

306.4

308.7

344.5

254.5

370.7

377.2

370.8

356.3

322.3

274.3

216.7

159.7

73.5

46.2

27.2

14.7

7.7

1.3

8760

Summ

0

0

0

3.8

9.6

20.4

38.3

64.9

97.4

139.1

192.8

263.2

352.1

482.7

638

817.9

1020

1243

1502

1774

2054 2337 2617 2882 3149 3418 3687 3957 4247 4543 4844 5151 5459 5794 6148 6519 6896 7267 7623 7946 8220 8437 8596 8670 8716 8743 8758 8766 8768

Table 3. Daily solar radiation on a horizontal surface [W/m2] for representative day (monthly)

Hour

Month

1

2

3

4

5

6

7

8

9

10

11

12

6

0

0

0

35.9

68.9

99.8

101.9

51.3

0

0

0

0

7

0

0

47

116.2

193.8

251.4

277.2

169.0

85.1

0

0

0

8

23.3

61.6

118.2

247.4

321.3

392.2

410.2

362.9

252.5

95.5

48

23.3

9

61.1

142.2

222.9

387.9

435.1

535.9

554.7

503.8

408.8

227.2

109.7

62.9

10

119.5

222.6

333.2

477.6

544.9

632.1

659.0

618.0

513.7

324.5

160.5

111.4

11

160.9

302.5

418.2

554.6

594.3

684.2

735.3

704.5

593.8

379.9

212.0

149.4

12

188.8

315.2

441.9

581.0

595.1

662.5

710.6

716.5

615.5

396.3

236.7

171.2

13

199.0

367.4

436.5

571.5

567.9

616.1

717.7

713.1

610.8

402.7

242.1

177.6

14

183.1

328.5

432.2

533.9

538.5

635.8

699.8

680.4

577.2

369.0

233.3

172.4

15

141.1

244.2

345.8

456.1

488.0

575.1

616.0

590.4

497.9

340.3

195.1

132.9

16

71.0

160.1

238.6

363.9

401.0

483.0

511.5

477.6

393.1

248.4

129.3

70.6

17

0

68.3

140.3

245.6

291.9

353.5

383.0

338.5

250.3

123.3

51.2

23.4

18

0

0

50.1

122.7

178.9

231.2

255.9

191.5

94.2

0

0

0

19

0

0

0

36.2

72.2

102.6

104.8

54.6

0

0

0

0

Daily

sum

[Wh]

1150

1710

2490

4730

5290

6260

6740

6200

4890

2930

1620

1100

Building construction

Walls and windows of the building provide the key part of energy transmission between building space and environment. Windows are the weakest elements in the overall thermal insulation of building, but also tend to be a key path to direct gain solar radiation for heating. Thermal insulation of walls is an important construction characteristic in energy performance of heating and cooling processes.

It is generally agreed that for domestic activities ventilation rates between 0.5 and 1 ac/h are sufficient

Of primary importance to the building and the owner will be the amount of insulation utilized during construction, as well as careful attention to the passive solar considerations noted above. In general, in this days of increasing fuel costs, having extra insulation in the walls and selling of a building will pay for themselves over a few years time.

Worked example

The characteristics of the walls and windows foreseen in initial variant of building design was:

The overall characteristics of the building are received by computer module HC_LOAD :

Overall U-value for windows and doors:          3.103 W/m2oK
Overall U-value for walls                       1.811 W/m2oK
Overall U-value for building                    1.366 W/m2oK
Heating and cooling systems 

Worked example

The program HC_LOAD give building's heating loads for the design conditions:

Heating load for the building           - 109594 W
        - heat conductivity             -  82300 W
        - infiltration                  -  27294 W
Average building temperature            -   19.4 oC
Specific heat load                      -   22.7 W/m3


Simulation

The most accurate calculations take into account the R-value of the floor, ceiling, walls, doors, windows, etc. It should be noted that one of the largest losses in heat is the heat loss by infiltration caused by air changes in the house. That is whenever the doors are opened, windows are open, flue damper in the chimney is left open, and so forth, heat escaped and cold air comes in. A sample case estimated that one air change was made every hour of the entire volume of air within the heated living space.

A cooling (heating) load is the amount of energy that is transferred to (from) the room and simultaneously removed (added) by the conditioning equipment at any given time of interest. To calculate this quantity directly requires a rather laborious solution of energy balance equations involving the room air, surrounding walls, infiltration and ventilation air, and internal energy sources.

Table 4. Daily distribution cooling load for a representative day of August

Hour

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

Tamb

25.5

24.9

24.4

24.1

24

24.3

25.1

26.3

27.7

29.3

30.8

31.9

32.7

33

32.9

32.6

32.1

31.5

30.8

29.9

29

28

27.1

26.3

QBuild

23710

20192

17502

15586

11616

27966

35102

39468

43116

44086

44708

43236

43010

45018

19986

50120

48346

45144

41070

37916

34866

32328

28886

26710

Typical room with a large glazing area on the eastern facade

Hour

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

Qroom

519

380

311

253

211

1261

1695

1949

2168

2226

2281

2176

2162

2072

2009

1880

1726

1579

1369

1234

1089

996

730

616

Qsol

216

176

144

117

96

1150

1568

1789

1961

1964

1833

1659

1573

1472

1351

1217

1073

940

755

596

486

397

324

264

Qcon

132

100

75

54

43

48

71

110

163

223

282

334

372

391

440

435

417

398

367

330

287

247

208

169

Qlight

81

27

26

24

23

21

20

19

18

17

16

15

14

13

12

12

11

10

10

66

69

72

75

78

Qpeople

9

7

6

5

4

4

3

3

2

2

15

16

18

19

20

21

22

23

23

24

24

25

12

10

Typical bedroom with glazing area on the west facade

Hour

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

Qroom

404

371

309

284

176

175

187

206

231

258

284

304

328

392

480

555

585

528

490

439

459

455

457

452

Qsol

77

62

50

40

33

41

57

77

99

122

142

159

180

246

327

396

419

355

313

227

183

148

119

96

Qcon

215

193

140

121

83

81

83

88

96

105

114

121

126

128

136

145

153

161

166

169

168

188

209

218

Qlight

4

13

12

12

11

10

10

9

9

8

8

7

7

6

6

6

5

5

5

38

40

42

44

46

Qpeople

9

10

10

11

5

4

3

3

2

2

2

2

2

2

2

2

2

2

2

6

7

8

9

9

fig 4

Fig. 4. Building cooling load for a representative day of August

The cooling load varies with time.as shown in Figure 4. The blue area is the Qbuild row data from table 4.

fig 5

Fig. 5. Annual frequency distribution of the ambient temperature - Sofia

Energy for heating of building is calculated by computer model SES_LOAD. For the worked example was used data for ambient temperature distribution shown in table 1.

Table 5.

Month Monthly energy [kWh] Heatng hours [h]
October

16171

679

November

29783

679

December

43277

744

January

48447

744

February

39038

678

March

33845

702

April

17173

492

Heating Season

227736

4520



Energy Efficiency

Table 8. Daily solar energy gains trough double glazed window area [Wh/m2]

Month

Orientation

Nov.

Dec.

Jan.

Feb.

March

April

East

860

510

500

890

1270

1950

West

750

590

520

1000

1370

1820



Thermal Comfort

The cooling load is composing on different gains that are acting in different periods in day. Their sum form a daily distribution on cooling load for the reference month. In Table 4 is presented the daily cooling load distribution for the building for the typical summer month - August.

The most effective way of protecting a building is to shade its windows and other apertures from unwanted direct sunlight. Careful organization of rooms according to their function can help the living space as cool as possible. When external air is cooler than the upper control unit, fresh air driven through the building by naturally occurring differences in air pressure can help to remedy this problem. In situation where the air inside a building is warmer than ambient air and cooling is required, the temperature difference or 'stack' effect can be used to expel the warm air from building.

The doors and windows, located on the eastern and western facade of the presented building, allow natural ventilation for cooling to be used. In hot dry summer climate for Sofia region, where night-time temperatures are low, cross ventilation at night is an appropriate method of removing heat accumulated in the building fabric during the day.

Indoor temperature variation in summer period (in winter also) is low, because of big thermal mass of building envelope (insolation of external walls is at outer side). Detailed calculation of indoor temperature variation is not made. This will be of interest in next investigations of thermal performance of the building.



Daylight

Introduction

While the light performance of residential buildings including the use of daylight, may not have as significant an effect on the amount of energy used as would be the case in office buildings, the quality of light is an important consideration for the comfort and well-being of occupants and the way in which the architecture of the spaces is modeled.

Description

Daylighting design involves the provision of natural daylight in the interiors of building to reduce or eliminate daytime use of electric lights, thereby offering sometimes substantial savings in energy use and consequent environmental damage ; and if skillfully executed, can provide heating and more pleasant living conditions.

Geometry

Good electrical lighting design and control can reduce energy use significantly, but a more fundamental and rewarding approach to the problem is to first design or modify the form of the building to allow it to admit and evenly distribute sufficient natural light to all of the occupied space. Often, in conventional buildings, there will already be more than adequate natural light close to the perimeter but this will fall off dramatically towards the core of the building, five or six metres back from the glazing, and occupants will try to correct any deficiency by switching on the lights.

The presented building has two external facades that provide natural daylight to the living space. Most of rooms have direct connection to the Daylighting sources - external windows.

Devices controlling daylight

Various devices are now available to capture daylight and direct it deep into buildings and to reduce excessive light levels near glazing, providing a more uniform spread of natural light. Some of these, such as atria, light shelves, roof monitors or clerestory lighting can have profound architectural design implications. Others such as prismatic glazing reflective blinds or shading systems can be more easily applied in the case of existing buildings. A wide range of specially treated glazing materials that can control the intensity and optical properties of natural light and heat flows is now available.

Results

The case for Daylighting in buildings has three strands: it can provide a healthier, more enjoyable indoor environment ; it can conserve the earths resources; and because it saves energy it saves money.

The following measures can help to avoid overheating:

- Solar control: to prevent the suns rays from reaching, and in particular entering the building.

- External gains control: to prevent increases in heat due to condition through the building skin or by the infiltration of external hot air.

- Internal gains control: to prevent unwanted heat from occupants and equipment raising internal temperatur

- Natural cooling: to transfer excess heat from the building to ambient heat sinks, including: ventilation, where unwanted hot air is replaced by fresh external air at a lower temperature.



Conclusions

Heating load

Heat loss calculation for building (HC_LOAD program) gives us information about maximal requirements for heating installation. Results for different variants of walls' and windows' construction show that we can reduce installed capacity of heating plant with 35%, which is really economy of capital. Specific heat load is reduced from 31.7 W/m3 to 20.2 W/m3.

Energy requirements

Improving building design brings an important energy saves in building performance. About 75772 kWh is yearly economy of energy for heating by using insulated walls, improved windows' construction and night windows' insulation. This is 33% of total energy requirements for the building. If we add passive solar gains, energy savings become 115452 kWh or 50.7% of total energy requirements. This is considerable energy economy and it will influence financial decision for this building and all buildings in the dwelling complex.

Thermal comfort

Thermal comfort in building in winter season is supported by heating installation. Summer comfort in living space of building is maintained only with a passive means. This includes: movable shading devices (blind, curtains), control of internal gains, natural ventilation etc.

Daylight

The building has a big windows' area on the eastern and western facade. Those windows are sufficient to provide living space with natural daylight.



REFERENCES

1. I. Tselepidaki, M.Santamooris, and D.Melitsiotis, Analysis of the Summer Ambient Temperatures for Cooling Purposes, J. Solar Energy, 3, 197-204 (1993)
2. N.K. Bausal and M.S. Bhanderi, Comparison of the Periodic Solution Method with TRANSYS and suncode for Thermal Building Simulation, J. Solar Energy, 1, 9-18 (1996).
3. R.Festa and C.F.Ratto, Proposal of a numerical procedure to select Reference Year, J. Solar Energy, 1, 9-17 (1993).
4. T. Kosuda, NBSLD, the Computer Program for Heating and Cooling Loads in Buildings, Natural Bureu of Standards, Washington, 1976.
5. R.Lebens, Passive Solar Heating Design, APPLIED SCIENCE PUBLISHERS Ltd, London, 1980.
6. E.Jager, Solar Energy Applications in Houses, Pergamon Press, Oxford, 1981.
7. J.A.Duffie,W.A.Beckman, Solar Engineering of Thermal Processes, Jon Weley & Sons, New York (1980).