• 検索結果がありません。

修士論文・博士論文一覧|九州大学 大学院人間環境学府

N/A
N/A
Protected

Academic year: 2018

シェア "修士論文・博士論文一覧|九州大学 大学院人間環境学府"

Copied!
4
0
0

読み込み中.... (全文を見る)

全文

(1)

48-1

Building energy simulation towards developing a guideline for NZEBs in Egypt

1. Introduction

As a part of our research project to create a detailed strategy to achieve zero energy performance level in Egyptian office buildings, this research mainly focuses on optimizing building envelope design alternatives through integrating various passive and active solar strategies along with introducing energy efficient system technologies to the building. 213 case-studies were studied in 3 Egyptian cities

“Cairo, Alexandria and Aswan” in 3 different climatic zones.

Applying the proposed strategies could achieve around 65% energy savings in Cairo, 66% in Alexandria and 64% in Aswan. An active solar system was proposed and the building could achieve positive energy performance level. We also conducted a questionnaire to analyze the perception of Egyptian designers and academics towards ZEBs in which 50 Egyptian green building experts participated and the findings of the survey are presented and analyzed in this study.

2. Methodology.

The construction and laboratory experiments of zero energy buildings [ZEBs] are a costly way to explore the potential energy saving impacts of various building design alternatives. Computer simulations can provide an initial guide for early stages of design especially for those inexperienced about zero energy building design.

Providing a guideline or a strategy that suits the domestic situation is essential to implement and promote ZEBs. Since ZEBs can be defined in several ways, in this research we considered net zero source energy as the main target for this strategy.

3. Building model

A Sketchup model for a typical Egyptian office building was

created to run the simulations required for this research. Model details are shown inTable 1. A plan and an elevation of the building model are shown in Fig 1. The case studies implemented in this research are shown in Table 2. Recommended cases are highlighted in dark blue.

Fig.1.Building model.

Building area 1112 m2

Total floor area 6672 m2

Unconditioned

floor area 1073 m

2

Floor height 3m

No of floors 6

No of thermal

zones 78

Main use Office

Table1. Model characteristics.

Ahmed Shahin

Table 2. Research Case studies.

Research Case Studies

Step 1: Orientation North N.East East South S.west West

Step 2: Blinds Case 1 Case 2 Case 3 Case 4 Case 5 Case 6

Single SHGC_0.82_ U_5.8 SHGC_0.62_ U_5.8 SHGC_0.4_U_5.1 SHGC_0.26_U_4.7 Step 3: Window

types *1*2 Double SHGC_0.62_ U_3.1 SHGC_0.37_ U_1.5 SHGC_0.28_ U_1.3

Tripple SHGC_0.47_ U_0.79 SHGC_0.31_ U_1.21 SHGC_0.2_ U_1.2

Step 4: Wall

types Fired Clay 125 mm

Solid Cement Brick 200

mm Single Red Brick 125 mm Hollow Cement Brick 200

mm Limestone brick 250 mm Double Red Brick with AirGap 380 mm Double Red Brick with Glass wool 380 mm

Step 5: Roof Insulation No insulation Pertile 25 mm Expanded Polystyrene Extruded 12.5 mm Expanded Polystyrene Molded 25 mm

Expanded Polystyrene Molded 75 mm

Expanded Polystyrene Extruded 120 mm

Expanded Polystyrene Extruded 150 mm

Step 6: Daylighting sensors With Daylighting sensors No Daylighting sensors

Step 7: HVAC Cooling 22°c 23°c 24°c 25°c 26°c

setpoint Heating 22°c 21°c 20°c 19°c

HVAC system

Improvements Heat recovery ventilator

Improve fan belt

efficiency 3% COP4 Enable Demand controlled Ventilation

Step 8: PV No Pv 0.2 PV Roof 0.2 PV Roof +Blinds 0.4 PV Roof 0.4 PV Roof +Blinds

0.6 PV Roof 0.6 PV Roof +Blinds 0.6 PV Roof +Blinds 0.75 PV Roof 0.75 PV Roof +Blinds

Step 9: BIPV BIPV 1 BIPV 2 BIPV 3 BIPV 4

(2)

48-2

4. Results and discussion.

4. 1. Effect of shading system.

Using optimized shading systems plays a significant role in reducing the solar radiation effect on buildings which will reduce cooling demands and enhance indoor thermal comfort. In this research 6 shading scenarios were studied as shown in Fig 2 and Table 3. As illustrated in Fig 3. Around 14% cooling & heating load deductions were achieved in Cairo. Also around 15% in Alexandria and 16 % in Aswan through installing the proposed shading system.

4. 2. Effect of window type.

Façade configurations and window type has a huge impact on cooling, heating and lighting energy demands. It also influences the indoor thermal comfort and it can provide a pleasant work environment through daylighting. In thisresearch 10 window type scenarios were studied. The impact of window type on cooling and heating loads in Cairo is shown in Fig.4. Tinted double low-E glazing of the following characteristics SHGC 0.28, VT 0.41 and U-Value 1.33 W/m²K was chosen for our model since it confirms with the Egyptian code for both SHGC and VT requirements. In addition, it achieved the best simulation results.Cooling & heating loads dropped down more than 10% in Cairo, 9% in Alexandria and 14% in Aswan. Glazingcharacteristics are illustrated in Table 4.

4. 3. Effect of wall types.

While the current situation in Egyptian building walls are rarely insulated , around 8% cooling and heating load deductions where achieved when using double red bricks with glass wool insulation and increasing wall R value to 3.1 [K. m²/W]. The proposed wall section is shown in Fig. 6. In this research 7 wall insulation scenarios were studied, the impact on cooling and heating loads in Cairo is shown in Fig.5. The findings clearly show the importance of wall insulation on reducing cooling and heating loads, thus reducing its energy usage and improving the building overall energy efficiency.Wall combinations analyzed in the case studies along with their thermal characteristics are

shown in Table 5. Recommended case is highlighted in dark gray.

*3 PF: Projection factor. [-] *4 VT: visible transmittance. [-] *5 A: Stainless steel coating. [-] *6 B: Titanium coating. [-] *7 H: High-transmittance coating. [-] *8 M: Medium-transmittance coating. [-]

*9 LoE: Low-emissivity metallic coating on one or more panes. [-]

Fig 2. Shading system case-studies.

Fig.4. Glazing impact on cooling and heating loads, Cairo.

Blinds *3

Case 1 No Blinds

Case 2 0.4 PF Overhangs

Case 3 3rd and 6th floors [0.25 PF+ Louvers]+

1st,2nd,5th floors [0.4 PF]

Case 4 3rd and 6th floors [0.25 PF+ Louvers]+

1st,2nd,5th floors [0.5 PF]

Case 5 3rd and 6th floors [0.4 PF+ Louvers]+

1st,2nd,5th floors [0.6 PF]

Case 6 3rd and 6th floors [0.45 PF+ Louvers]+

1st,2nd,5th floors [0.7 PF] 30° tilted on West and East

Table 3. Shading system characteristics.

Fig.3. Shading impact on cooling and heating loads, Cairo. 973

899 881 865 840 813

39 45 47 49 52 60

0 200 400 600 800 1000 1200

Case 1 Case 2 Case 3 Case 4 Case 5 Case 6

C

a

ir

o

Thermal load [MWh] Cooling Heating

1 813

794 769 750 781 741 727 752 732 715

60 64 67 69 58 57 59 53 61 61

0 200 400 600 800 1000

SHGC_0.82_U_5.78 SHGC_0.62_U_5.78 SHGC_0.4_U_5.07 SHGC_0.26_U_4.66 SHGC_0.62_U_3.12 SHGC_0.37_U_1.49 SHGC_0.28_U_1.33 SHGC_0.47_U_0.79 SHGC_0.31_U_1.21 SHGC_0.2_U_1.12

S

in

g

le

D

o

u

b

le

T

ri

p

le

Thermal load [MWh]

Cooling Heating

Glazing Type SHGC VT U- value

Clear 6 mm 0.82 0.88 5.78

Blue 6 mm 0.62 0.57 5.78

Single Ref-B-H Clear 6 mm 0.40 0.30 5.07 Ref-A-M Clear 6 mm 0.26 0.14 4.66 Green 3 mm /6 mm Air 0.62 0.74 3.12

Double LoE (e2=.1) Tint 6 mm /13 mm Argon 0.37 0.44 1.49

LoE Spec Sel Tint 6mm/13mm Argon 0.28 0.41 1.33

LoE (e2=e5=.1) Clear 3mm/13mm Argon 0.47 0.66 0.79

Triple LoE Film (55) Clear 6 mm/6mm Air 0.31 0.46 1.21 LoE Film (44) Bronze 6mm/13mm Air 0.20 0.22 1.12 *5 *6

*7 *8

*9

*4

Tripple

Table 4. Glazing type case studies.

(3)

48-3

4. 4. Effect of daylighting sensors.

The application of daylighting sensors and lighting controls not only reduces building energy consumption significantly through reducing the load on artificial lighting system and reducing heat generation in the room caused by artificial lighting equipment but also it improves visual comfort and well-being of building occupants. We simulated the effect of applying daylighting sensors to our modelwith automatic on/off Controls with lighting setpoint at 300 Lux as recommended by the Egyptian code for commercial buildings. Configurations of the case study are shown in Table 6. As illustrated in Fig 7. Around 56% energy savings for lighting in Cairo, 54% in Alexandria and, 48% in Aswan were achieved and cooling loads dropped by 17% in Cairo, 19% in Alexandria and 11% in Aswan while heating increased by 48% in Cairo, 44% in Alexandria and 36% in Aswan as shown in Fig 8. Although heating energy value is not significant in the case of the three cities.

4. 5. Effect of PV.

Using PV panels has a great potential since Egypt has 2,400 hours annually for potential solar operations. In this research 9 PV scenarios were studied, (1) No PV. (2) 20% of roof area covered with PV. (3) 20% of roof area plus blinds covered with PV. (4) 40% roof area. (5) 40% roof area with blinds. (6) 60% roof area. (7) 60% roof area with blinds. (8) 75% roof area. (9) 75% roof area with 60% blinds. On-site generation Vs total source energy and Net source energy/m2 in Cairo case are shown in Fig 10 and Fig 11. Fig 9. Illustrates the model with PV panels installed on its roof. The building could achieve nearly zero starting from 0.6 roof PV on its roof. However our main target is to reach Net zero so we explored the potential of BIPV application on the building south façade.

4. 6. Effect of BIPV.

Integrating PV in the building design can have significant impact on harvesting renewable energy from the sun and covering the building energy needs from environmentally friendly sources. We simulated the effect of integrating PV cells in the building south façade for 1 floor BIPV1 and two floors BIPV 2, 3 floors BIPV 3 and 4 floors BIPV 4 as shown in Fig 12 and calculated total source energy versus on-site generation and the building could reach positive energy performance level using this strategy as shown in Fig 13.

810

355

0 200 400 600 800 1000 Lighting energy [GJ]

No Daylighting Sensors Daylighting Sensors

Fig 7. Impact of daylighting sensors on lighting energy, Cairo Table 6. Configurations of the case study.

641

45

530

67 0

100 200 300 400 500 600 700

Cooling Heating

Thermal loads [MWh]

No Daylighting Sensors Daylighting Sensors

Fig 8. Impact of applying daylighting sensors on HVAC loads, Cairo

720 706 703 695 669 666 663

54 54 54 54 51 50 50

0 100 200 300 400 500 600 700 800 900

Clay SCB SRB Limestone HCB DRB

AirGap

DRB GW Thermal load

[MWh]

Wall type Cooling Heating

Fig.5. Effect of wall type on cooling and heating loads, Cairo Table 5. Wall type components

Wall type Components Color R-value

m2K/w

Clay 125 mm_ Clay Stucco 0.025 + Clay brick 0.125+ Gypsum board

0.012 Gray 0.35

Cement Brick Wall (Solid) 200 mm_SCB Stucco 0.025 + Solid cement brick 0.2+ Gypsum

board 0.012 Gray 0.42

Single Red Brick Wall 125 mm_SRB Stucco 0.025 + Red Brick 0.125+ Gypsum board

0.012 Red 0.47

Limestone Wall 250 mm_Limestone Stucco 0.025 + Limestone brick 0.25+ Gypsum

board 0.012 Sandy 0.53

Cement Brick Wall (Hollow) 200 mm_CBH Stucco 0.025 + Hollow cement brick 0.2+

Gypsum board 0.012 Gray 1.51

Double Red Brick Wall with AirGap 380 mm_DRB AirGap Stucco 0.025 + Red brick 0.25+ AirGap 0.025+

Red brick 0.125+ Gypsum board 0.012 Red 2.13

Double Red Brick Wall with GW 380 mm_DRB GW Stucco 0.025 + Red brick 0.25+ Glass Wool

0.1+ Red brick 0.125+ Gypsum board 0.012 Red 4.4

*10 PV: Solar Photovoltaic panel. *11 PV R: PV on the Roof.

Fig.6 Wall section.

Glazing Type

Tinted double glazing SHGC_0.28_VT_0.41_

U_1.33

Shading System Case 6 blinds

Lighting Setpoint 300 Lux

Lighting Heat

Generation 14 w/m

(4)

48-4

.

5. Conclusion.

In this research certain design strategies have been developed to integrate passive and active solar design in order to achieve net zero energy level in Egyptian office buildings. Same methodology was applied for Alex and Aswan cases. Final proposed cases compared to the base case are shown in Table 7. Applying proposed strategies can achieve energy savings for total building energy usage except equipment [Heating+ Cooling+ lighting+ fans+ pumps+ water heating] by around 64.6 % in Cairo case, 65.9% in Alexandria case and 63.8 % in Aswan case.After achieving significant energy savings through passive strategies and system technologies, an active solar system was proposed to cover the building energy needs. Only Egyptian locally available materials were used in all simulations. We based our simulation on the actual situation and common lifestyles for the office occupants in Egypt and all configurations comply with the Egyptian energy code. The combinations provided in this research proves that achieving nearly zero, zero and even positive energy level in Egyptian office buildings can be possible if certain strategies were to be followed.

Fig 9. Building model with roof PV.

5372 5372 5372 5372 5372

4550 4797

5033 5291

5532

0 2000 4000 6000

No BIPV BIPV 1 BIPV 2 BIPV 3 BIPV 4

Energy [GJ] On-Site Generation [GJ] Total Source Energy [GJ]

Fig.13. Source energy vs PV energy generation, Cairo. *13

5372 5372 5372 5372 5372 5372 5372 5372 5372

0 -954 -1248

-1907 -2523 -2861 -3835

-3576 -4550

-6000 -4000 -2000 0 2000 4000 6000

No Pv 0.2 PV R 0.2 PV R+B 0.4 PV R 0.4 PV R+B 0.6 PV R 0.6 PV R+B 0.75 PV R 0.75 PV R+B

Energy [GJ] Total Source Energy On-Site Generation

Fig 10. Source energy vs PV generation. *10*11*12

*4

Fig.12. Position of PV, BIPV 4.

805 662

618 519

427 376 230 269

123

0 200 400 600 800 1000

No Pv 0.2 PV R

0.2 PV R+B

0.4 PV R

0.4 PV R+B

0.6 PV R

0.6 PV R+B

0.75 PV R

0.75 PV R+B [MJ/m2]

Fig 11. Net Source Energy MJ /m2

*12 PV R+B: PV cells on both roof and Overhangs. *13 BIPV: Building Integrated photovoltaic system

Table 7. Proposed cases Vs base case energy savings, Cairo. Cairo

Component Base Case Proposed case Point of comparison Energy saving

Building Orientation - North Total [Cooling + Heating] energy 8.3%

Shading system No overhangs Blinds Case 6 Total [Cooling + Heating] energy 13.8%

Window type Single SHGC_0.82_VT_0.88_U_5.78 Double SHGC_0.28_VT_0.41_U_1.33 Total [Cooling + Heating] energy 10.1%

Wall type Clay 120 mm R 0.35 Double Red brick with glass wool 380

mm R3.1 Total [Cooling + Heating] energy 7.9%

Roof Insulation No insulation Expanded polystrene extruded 15 cm Total [Cooling + Heating] energy 3.8%

Daylighting sensors No daylighting controls With daylighting control Total [Cooling + Heating+ lighting] energy 24.0%

HVAC Setpoints 22°C Cooling & 22°C Heating 26°C Cooling & 20°C Heating Total [Cooling + Heating] energy 47.0%

HVAC improvements

[1] No heat recovery ventilator. [2] fan efficiciency 70%. [3] COP 3.

[1] Heat recovery ventilator. [2] fan efficiciency 73%. [3] COP 4. [4] Enable demand controlled ventilation.

Total [Cooling + Heating] energy 17.9%

Total Energy usage

without equipment [GJ] 3520.0 1245.2

Total [Cooling + Heating+ Lighting+ Fans+

Table 2. Research Case studies.                                                                                                           Research Case Studies
Fig 2. Shading system case-studies.
Fig 8. Impact of applying daylighting sensors on HVAC loads, Cairo
Table 7. Proposed cases Vs base case energy savings, Cairo.

参照

関連したドキュメント

Fumio Ogawa, Jun Koyanagi, Hiroyuki Kawada, Characteristic of Nonlinear Viscoelastic Behavior in Vinylester Resin, 13th JSME Materials and Processing Conference,

Aの語り手の立場の語りは、状況説明や大まかな進行を語るときに有効に用いられてい

Jinxing Liang, Takahiro Matsuo, Fusao Kohsaka, Xuefeng Li, Ken Kunitomo and Toshitsugu Ueda, “Fabrication of Two-Axis Quartz MEMS-Based Capacitive Tilt Sensor”, IEEJ Transactions

FOURTH INTERNATIONAL SYMPOSIUM ON THE BIOLOGY OF VERTEBRATE SEX DETERMINATION April 10-14, 2006, Kona, Hawaii,

第3節 チューリッヒの政治、経済、文化的背景 第4節 ウルリッヒ・ツウィングリ 第5節 ツウィングリの政治性 第6節

Horikoshi Characteristics of multivalent impurity doped C60 films grown by MBE 14th International Conference on Molecular Beam Epitaxy, Tokyo, Japan, September 3-8, 2006..

Cioffi, “Pilot tone selection for channel estimation in a mobile OFDM systems,” IEEE Trans.. Sunaga, “Rayleigh fading compensation for QAM in land mobile ra- dio communications,”

主任審査委員 早稲田大学文学学術院 教授 博士(文学)早稲田大学  中島 国彦 審査委員   早稲田大学文学学術院 教授