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DESIGNING KINETIC FAÇADE FOR AN OFFICE BUILDING IN WARM AND HUMID CLIMATE TO IMPROVE THE DAYLIGHT QUALITY – AN INTEGRATED COMPUTATIONAL APPROACH

Original Article

DESIGNING KINETIC FAÇADE FOR AN OFFICE BUILDING IN WARM AND HUMID CLIMATE TO IMPROVE THE DAYLIGHT QUALITY – AN INTEGRATED COMPUTATIONAL APPROACH

 

Sakshi Birkad 1, Amitava Sarkar 1Icon

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1 Department of Architecture, School of Planning and Architecture, Vijayawada, Andhra Pradesh, India

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ABSTRACT

Daylighting plays a crucial role in providing comfort within buildings, as occupants have a strong preference for well-lit spaces that reduce reliance on artificial lighting. Considering growing concerns surrounding energy efficiency and sustainability, daylighting design has gained significance beyond its aesthetic and psychological implications. The building facade serves as a key element for controlling the penetration of natural light into indoor spaces. In this regard, a climate-based approach and the observation of dynamic sky conditions offer effective methodologies for this study. Kinetic architecture, inspired by nature and intricate geometries, integrates form and technology. In the context of enhancing visual comfort, daylight performance, and reducing glare, the implementation of innovative daylighting guide systems with real-time control through kinetic configurations becomes imperative. This study aims to propose a systemic computational approach to design a tri-fold kinetic facade configuration tailored for office buildings in warm and humid climates, aligning with specific daylighting design criteria. The research methodology deploys both the qualitative approach, through the assessment of feedback from the users regarding the visual comfort, and the quantitative approach, through the assessment of onsite measurement of visual environment in the office space and also by using the building simulation tools to calculate the various parameters related to the indoor visual environment affecting the performance of the office activity. The results from the analysis have shown that, when compared with the absence of any such kinetic façade, the proposed tri-fold kinetic facade can improve the visual and daylight performance of a building by reducing the annual sunlight exposure by 73-90% and annual disturbing glare by 73-91% which is significant to create cooling effect indoor. Optimal opening angles of the proposed kinetic façade for different orientations are also calculated regarding the different seasonal representative days. Limitations of the present study and the scope of further research are also highlighted.

 

Keywords: Kinetic Facade, Daylight Optimization, Office Building, Warm-Humid Climate, Simulation Analysis, Computational Approach

 


INTRODUCTION

BACKGROUND AND NEED FOR THE STUDY

The design of the building envelope is a crucial factor in determining the indoor physical environment, specifically in terms of thermal and visual comfort Wang et al. (2012). To promote the well-being of occupants, it is essential to provide sufficient natural light, which has positive effects on their physical, psychological, and mental health, and is considered a renewable and permanent source Hosseini et al. (2021). Innovative building envelopes incorporate dynamic components that respond to changing climatic conditions to enhance daylight performance and visual comfort.

Kinetic architecture is a design approach that combines form and technology, drawing inspiration from nature and geometric complexity in building structures. A kinetic façade is an automatic and responsive design that features dynamic elements capable of various movement such as flap, fold, rotate, slide, scale, expand, extract, and change in response to daylight Ahmed et al. (2015), Carlucci (2021). This adaptive feature enhances the occupant's visual comfort by integrating with its peripheral environment using sensors and actuators. The primary criterion for office lighting is to offer sufficient illumination for a visual activity such as working/ reading.

Visual comfort is the most dominant factor in human perception since the eye contains two third of nerve fiber within human central nervous system. The mental and psychological state of individuals can be influenced by the level of visual comfort they experience International Organization for Standardization. (2025). Workplaces and study environments, such as offices or production spaces, can benefit from a comfortable lighting environment, which can elevate mood and enhance work efficiency Tabadkani et al. (2018), Tabadkani et al. (2019). Consequently, there has been a growing demand for visual comfort from building occupants. As the thought of comfort has evolved, one approach to enhancing visual comfort and enhancing occupant productivity is through the motion of changing façade configurations. Three-dimensional alterations in the façade elements can control microclimate forces such as wind and solar energy, thus improving the level of visual comfort and productivity Hosseini et al. (2019).

Since past 20 years, there is a revolutionary change in building and construction technology along with the development in the information technology (IT) sector which can be seen in the new constructions which deploy many attractive envelopes many a time forgetting the conditions inside which can lead to visual discomfort that in turn may cause ill health to the occupants and reduction in the productivity. If the parameters of visual comfort are not integrated in the design phase, such buildings may consume more energy for lighting and cooling loads.

As per the information U.S. (2021), India stands in the 3rd largest energy consumer. The building sector in India contributes to about 35% of total electricity consumption BEE, (2017). Building envelope/ facades are the most important contributors to allow large amounts of daylight which influences the comfort factors within the buildings and energy efficiency of the buildings.

The main reason in the consideration of office building for this study is that they function mostly in the daytime where the most useful naturally available daylight can be utilized to optimize the need for artificial lighting which consumes more energy. Hence, there is a necessity to apply the effective strategies to reduce the effects of visual discomfort due to less availability of daylight during the working hours in the office building.

 

Aim, Objectives, Scope and Limitations

The aim of the present research is to design the kinetic façade for an office building with regards to daylight quality in warm and humid climate of Vijayawada to improve its visual comfort through a systemic computational approach which can be applied in other similar conditions. To fulfill the aim, the objectives of the research include – (a) to propose the methodology for a systemic computational approach to design adaptive kinetic façade for optimal visual performance; (b) to study the parameters for evaluating indoor visual comfort; (c) to assess the climatic context and design kinetic façade for improved visual comfort; (d) to evaluate the performance of designed kinetic façade for the optimal daylight quality; and (e) to determine the optimal angle of façade unit for specific months on different timings.

Scope

Parameters like orientation, kinetic façade transformation system, angle of façade unit, material type, etc. are taken into consideration in this study. The study of controlled daylight distribution, the availability of daylight, glare and view factor are considered. The study has assessed the parameters of visual and daylight performance such as Useful Daylight Illuminance (UDI), Spatial Daylight Autonomy (sDA), Annual Sunlight Exposure (ASE), and Glare.

Limitations

Due to time constraints the major focus is given on improving the visual comfort and daylight performance for an office building in warm and humid climate. This can be further extended to carry out the thermal and energy performance of the building. Cost and maintenance aspect is not taken into consideration in the present study.

Research Questions

The present research also attempts to find answers to the following research questions relevant to the scope of the study: (i) What strategies can be employed to improve daylight distribution in buildings in a warm and humid climate? (ii) Can a kinetic facade be considered as a viable solution to enhance visual comfort in the warm and humid climate of Vijayawada? (iii) What is the process for selecting the appropriate kinetic façade among the various options? (iv) How can the distribution of indoor daylight be optimized during the design of the kinetic facade?

 

REVIEW OF LITERATURE

Visual Comfort

Natural light has many positive effects on health and energy efficiency, but it also comes with certain challenges. For example, heat gains and visual discomfort in the form of daylight glare must be considered to ensure visual comfort. Balancing visual comfort with daylight presents a complex undertaking, necessitating a comprehensive comprehension of the interplay between human requirements and lighting conditions. Crucial factors such as light quantity, uniformity, color rendering quality, and glare risks for occupants must be meticulously taken into account International Organization for Standardization. (2025). Parametric simulations can provide data on these factors to facilitate an accurate and efficient evaluation of daylight performance Rizi and Eltaweel (2021).

 

Parameters for Evaluating Visual Comfort

Many researches on the effect of daylighting in buildings have identified several performance factors that contribute to the improvement of visual comfort in a building Elghandour et al. (2016), Hosseini et al. (2019a), Tabadkani et al. (2019). As per the literature, the following factors are essential to provide visual comfort to the occupants in a space: (a) Daylight Availability (or Distribution) - Task Illuminance and Uniformity; (b) Glare - caused by the brightness of the source or the relative luminance of the room surfaces; (c) Task-Surface Contrast - The distinction between the task and its surrounding surface; (d) View - The aesthetic appeal and visual quality of the image.

 

Study of Daylight Metrics and Standards

The study’s objectives focus on assessing and improving the visual comfort in an office space by optimizing the proposed adaptive kinetic façade through integrated design and computational approach. The metrics and standards identified based on the literature review Illuminating Engineering Society. (2012), U.S. (2015) , Elghandour et al. (2016), BEE, (2017), Mekhamar and Hussein (2021), Hosseini et al. (2021), Natiq and Abdulqader, (2023), International Organization for Standardization. (2025) to do the analysis for this purpose are discussed in the following sections.

 

Spatial Daylight Autonomy (sDA):

The Illuminating Engineering Society (IES) has developed guidelines for testing and calculating two important climate-based daylight metrics - Spatial Daylight Autonomy and Annual Sunlight Exposure Illuminating Engineering Society. (2012). These metrics are commonly used for evaluating daylight performance and have also been incorporated into building certification systems such as Leadership in Energy and Environmental Design (LEED) U.S. (2015) .

The percentage of a space that is illuminated with a lighting level of at least 300 lux for at least half of the occupied hours during the year (from   am to   pm) on the horizontal work plane positioned 30 inches above the floor. To meet the requirement, a minimum of 55% of the floor area must achieve this threshold U.S. (2015) .

 

Annual Sunlight Exposure (ASE)

The percentage of a space that is exposed to direct sunlight with an illuminance level of 1000 lux or higher for at least 250 hours during the occupied period each year, leading to discomfort and glare Illuminating Engineering Society. (2012). This metric is particularly relevant when the space is unobstructed, and glare control is required using shading devices. The ASE should not exceed 10% of the floor area, and this metric is useful for identifying when shading is necessary in indoor spaces, allowing for the design of appropriate shading systems Illuminating Engineering Society. (2012). LEED V4 recommends that the ASE be limited to no more than 10%, making it the second optimization goal USGBC (2013).

 

Useful Daylight Illuminance (UDI)

This refers to the fraction of time throughout the year during which the indoor horizontal illuminance from daylight, measured at a particular point, meets a specific threshold in each area Reinhart and Wienold (2011), Wagdy and Fathy (2015). The three ranges of the UDI for office spaces are: UDI underlit = <300 lux; UDI useful = 300 – 2000 lux; and UDI over-lit = >2000 lux. As per the Energy Conservation Building Code of India (ECBC), 50% of the floor area above ground should fulfil the above criteria for office buildings BEE, (2017).

 

 

 

 

 

Daylight Glare Probability (DGP)

This metric represents the proportion of individuals who are affected by discomfort glare. It is a novel technique for predicting glare, which is based on empirical observations of the vertical eye illuminance (Ev) instead of the background luminance (Lb) Wienold and Christoffersen (2006). The four ranges of the DGP for office spaces are given in Table 1 below.

Table 1

Table 1 Daylight Glare Probability (DGP) Index.

DGP Rating

Lower limit

Upper limit

Imperceptible glare

0

35%

Perceptible glare

35%

40%

Disturbing glare

40%

45%

Intolerable glare

45%

-

Source: Garcia and Pereira (2019)

 

 

Relevance to Sustainability

Visual comfort and natural daylight are the crucial aspect in office building to improve the occupant’s productivity. Using natural light efficiently can have numerous benefits for both physical and mental health of workers, such as reducing visual fatigue and improving work efficiency while also lowering energy consumption. Several noteworthy building projects located different parts of the world with hot-humid climatic conditions such as - Simons Centre at Stony Brook, New York, USA (2008), Media ICT building, Barcelona, Spain (2011), Al Bahr Towers, Abu Dhabi, UAE (2013), Helio Trace Façade System, New York, USA (2013), SDU University of Southern Denmark, Denmark (2014), etc. have shown that by being responsive to changing climatic conditions, kinetic facades can improve daylight performance, energy performance and enhance visual comfort using adaptive and interactive mechanisms Razoki and Al-Kazzaz (2025). Following are some of the benefits of design for daylighting observed from the literature review: (a) Health benefit – Access to natural views reduces stress and such improved vision helps to work for longer time Tabadkani et al. (2019), Day et al. (2019), (b) Energy efficiency – Optimization of daylighting design can save up to 15-40% of total annual building energy consumption. It can also cut the energy usage of building lighting by 75-80% at times Elghandour et al. (2016), Garcia  and Pereira (2019); and (c) Financial benefit - Studies have found that people can perform 10-25% better in daylit space rather than in a dimly-lit room Rizi and Eltaweel (2021), Hosseini et al. (2021).

 

MATERIALS AND METHODS

Research Methodology

Researchers Elghandour et al. (2016), Waseef and Nashaat (2017), Mekhamar and Hussein (2021), Tabadkani et al. (2021), Natiq and Abdulqader (2023) have highlighted the benefit of designing dynamic climate responsive kinetic façade for visual and thermal comfort utilizing the qualitative and quantitative simulation tools.  The present research deploys combination of both qualitative and quantitative research methods. The activity flowchart followed in the present research process is shown in Figure 1 and the flowchart of the working process of design optimization analysis through simulation tools is shown in Figure 2.

The proposed flowcharts signify a systemic novel computational approach by integrating the different stages of the design development along with the façade optimization process dynamically and harmoniously in sync to the local context with the help of building simulation tools. This proposed computational approach can be furthered to develop an artificial intelligence (AI) based algorithm incorporating machine learning (ML) to process ‘big data’ to design adaptive kinetic façade as per local geo-climatic condition and building usage.

Figure 1

Flowchart Showing the Research Methodology. Source: Authors

Figure 1  Flowchart Showing the Research Methodology.

Source: Authors

 

Figure 2

Flowchart Showing the Working Process of Design Optimization Analysis. Source: Authors

Figure 2 Flowchart Showing the Working Process of Design Optimization Analysis.

Source: Authors

 

Study Area and Climate Analysis

The selected commercial office building site is situated in Enikepadu, Vijayawada, Andhra Pradesh (A.P.), India (16.53° N Latitude, 80.797° E Longitude, Altitude 29.25m above MSL) and is connected to 90’ wide road on southern side. Vijayawada has 28.2°C as mean annual temperature, with May and June being the hottest month having average temperature of 33.5°C, and December being the coolest month at 24.2°C on average. The total annual rainfall is 974 mm, with the driest month being January at 6 mm and the wettest being August at an average of 179 mm India Meteorological Department. (2022) .

For the analysis of Vijayawada climatic data, digital climate file IND_AP_Gannavaram-Vijayawada.AP.431810_TMYx.epw (WMO_Region_2_Asia) has been used. From the analysis of the solar radiation data of Vijayawada, it is observed that the north facade receives the lowest radiation. The south and west wall receives the maximum radiation from the afternoon sun and thus this facade has the most heat gain (see Figure 3). Hence, high performance glazing can be provided on all surfaces for reducing heat gain in the summer and south, west and east wall openings should be shaded effectively to avoid the maximum solar radiation.

 Figure 3

Graphs showing Radiation range. Source: Authors and Climate Consultant tool

Figure 3 Graphs Showing Radiation Range.

Source: Authors and Climate Consultant Tool

 

Further, form the analysis of the sky-cover data it is found that from July to November, the mean cloud cover is increased hugely from the average mean percentage which indicates the highest amount of diffuse solar radiation to the earth surface. The direct solar radiation is higher from December to June due to the minimum sky cover which results in intense solar radiation. The annual sky cover ranges from 21 to 89%.

Also, it is observed from the sky illumination data that the illumination range is high in the summer months with a maximum of 95000 lux. Therefore, indoor comfort level should be maintained with adequate shading on openings and on exposed surfaces. Also, effective shading is required to dissipate radiation and heat gain.

 

Details of the Selected Office Building

The building site is encompassed by commercial properties on the east, west, and south sides, while residential spaces border the northern side. Building’s front façade is facing towards south-west direction. It is curtain-glazed from top to bottom. The site location and site context are shown in Figure 4. The selected office building has a site area of 544.8 m2 and total built-up area of 6,405 m2 spread over G+7 floors with 2 basement parking. Total height of the building above ground is 28.8m and floor to floor height is 3.6m. Surrounding areas include residential buildings, commercial shops, hospitals, ATM and open spaces. The views of the selected office building are shown in Figure 5. The surface area/ volume ratio is calculated as 3821/14475.6 = 0.26, which is compact. The occupancy capacity is 100-150 persons in each floor. The floor plans and elevations of the selected office building are shown in Figure 6.

Figure 4

 

Site details and site context of the selected office building. Source: Authors

 

Figure 4 Site Details and Site Context of the Selected Office Building.

Source: Authors

 

Figure 5

Views of the selected office building. Source: Authors

Figure 5 Views of the Selected Office Building.

Source: Authors

 

Figure 6

Floor plans and elevations of the selected office building. Source: Authors

Figure 6 Floor Plans and Elevations of the Selected Office Building.

Source: Authors

 

The researchers Day et al. (2019) have highlighted that useful insights can be obtained by conducting the on-site questionnaire survey regarding visual comfort with the occupants. Hence, in the present study, the visual comfort questionnaire survey is conducted, as per the International Organization for Standardization. (2025). guidelines, with the users who uses office for daytime working. Aspects covered in the on-site questionnaire survey are comfort factors, user preferences in the office, artificial lighting needs and discomfort experienced by existing openings, while making observations as well. The sample visual comfort questionnaire is given in Annexure-1. The findings are discussed in the following sections.

 

Simulation Model and Validation

In the present study simulation tools used for the visual performance analysis include Rhino and Grasshopper (Ladybug and Honeybee plug-ins). Further, Honeybee for Rhino is used for the daylight simulations with Radiance and Daysim. The details of the baseline simulation model of the selected office building developed in Rhino is shown in Figure 7 (d)and(e).

Figure7

Details regarding daylight analysis of the selected office building. Source: Authors

 Figure 7 Details Regarding Daylight Analysis of the Selected Office Building.

Source: Authors

 

To validate the simulation analysis, on-site measurement of illumination level is done by using the Lux meter (Testo 480) and Lux Probe (see Figure 7(c)) in the third floor (see Figure 7(a)) and sixth floor (see Figure 7(b)) of the office building during March 2 and 3, 2024. The sky condition is clear sky with sun. The on-site measured lux values are given in Table 2 to Table 5.

Table 2

 

Table 2 Measurement of Light Intensity (Lux) in Third Floor Office Space on 2nd Feb 2024.

Measur-ment points

Time

A1

A2

A3

A4

A5

A6

B1

B2

B3

B4

B5

B6

C1

C2

C3

C4

C5

C6

D1

D2

D3

D4

D5

D6

 

8:00 AM

572

243

585

218

487

492

161

131

111

165

315

854

154

105

144

167

291

1077

160

115

110

269

400

605

10:00 AM

1200

460

641

362

640

745

298

297

198

239

327

731

238

200

185

208

354

556

108

161

108

161

210

306

12:00 PM

569

665

614

527

530

606

372

376

246

294

394

564

380

230

174

198

255

416

128

172

102

140

159

292

2:00 PM

544

617

548

541

553

675

477

460

221

310

319

528

432

384

192

189

281

299

247

197

129

145

155

154

4:00 PM

420

593

337

412

413

538

406

349

206

254

255

498

965

410

265

153

145

248

444

396

280

137

118

127

6:00 PM

8

12

7

10

8

9

7

4

2

3

3

3

4

2

3

2

3

6

6

5

4

3

3

5

 

Table 3

Table 3 Measurement of Light Intensity (Lux) in Sixth Floor Office Space on 2nd Feb 2024.

Measure-ment points

Time

A1

A2

A3

A4

B1

B2

B3

B4

B5

B6

C1

C2

C3

C4

C5

C6

D1

D2

D3

D4

D5

D6

8:00 AM

849

364

472

426

130

120

109

134

197

238

69

68

70

111

209

596

119

85

120

289

560

616

10:00 AM

825

700

833

702

167

160

159

180

165

326

111

126

108

108

192

276

168

117

65

174

225

294

12:00 PM

761

870

635

1061

207

229

187

219

106

307

287

135

112

98

100

131

223

125

50

73

105

230

2:00 PM

623

902

524

1442

225

251

178

198

98

252

317

153

110

94

98

159

584

219

107

63

94

198

4:00 PM

610

890

422

1439

168

212

152

209

69

107

416

214

120

90

66

108

624

448

195

58

85

87

6:00 PM

19

19

20

34

13

5

3

3

3

5

15

3

2

2

3

4

4

3

4

2

3

5

 

Table 4

Table 4 Measurement of Light Intensity (Lux) in Third Floor Office Space on 3rd Feb 2024.

Measure-ment points

Time

A1

A2

A3

A4

A5

A6

B1

B2

B3

B4

B5

B6

C1

C2

C3

C4

C5

C6

D1

D2

D3

D4

D5

D6

8:00 AM

552

240

575

218

477

491

159

130

113

175

311

864

154

105

154

177

281

1087

168

115

110

259

408

598

10:00 AM

1200

470

638

362

630

725

298

287

197

235

324

730

248

200

188

208

354

556

108

159

108

166

212

309

12:00 PM

559

663

614

527

530

606

370

376

249

294

392

574

380

233

178

202

251

418

123

170

101

142

159

290

2:00 PM

534

618

538

540

551

675

475

460

223

300

319

528

432

374

192

189

280

301

247

194

132

145

151

151

4:00 PM

410

583

337

411

403

528

403

347

216

254

259

498

975

407

255

150

141

253

454

396

286

147

119

122

6:00 PM

8

12

7

10

8

9

7

4

2

3

3

3

4

2

3

2

3

6

6

5

4

3

3

5

 

Table 5

Table 5 Measurement of Light Intensity (Lux) in Sixth Floor Office Space on 3rd Feb 2024.

Measure-ment points

Time

A1

A2

A3

A4

B1

B2

B3

B4

B5

B6

C1

C2

C3

C4

C5

C6

D1

D2

D3

D4

D5

D6

8:00 AM

844

360

462

423

127

115

109

137

197

238

72

68

73

115

209

626

119

82

130

293

570

636

10:00 AM

820

700

830

699

167

158

159

176

161

328

111

128

109

106

192

276

166

117

65

177

235

299

12:00 PM

761

867

631

1051

209

227

185

215

102

307

287

132

110

99

102

136

220

125

50

70

105

232

2:00 PM

629

901

524

1442

225

252

179

198

102

252

327

153

114

96

94

159

588

219

117

61

96

203

4:00 PM

610

888

422

1429

172

215

155

209

75

107

414

210

120

90

69

106

621

453

195

52

82

87

6:00 PM

19

19

20

34

13

5

3

3

3

5

15

3

2

2

3

4

4

3

4

2

3

5

 

Further, the lux values are calculated for the same dates, same time-intervals, same sky condition and same floors with the Rhino. The calculated values are shown in Table 6 to Table 9. To assess the consistency between the measured values and calculated values Pearson’s Correlation statistical analysis is done. In statistics, correlation refers to the degree of linear association between two variables.  A correlation coefficient is employed to gauge the extent of the association between these variables, with values ranging from -1 to 1. When the magnitude of a correlation coefficient falls between 0.9 and 1.0, it indicates a high degree of correlation between the variables. Similarly, a coefficient falling between 0.7 and 0.9 is indicative of a strong correlation, while one between 0.5 and 0.7 is considered moderate. Correlation coefficients ranging from 0.3 to 0.5 are generally considered low. In the present study correlation coefficient ranges from 0.63 - 0.75 which shows high level of correlation. Hence, further study is carried out using the same simulation tools.

Table 6.

Table 6 Calculated Light Intensity (Lux) in Third Floor Office Space on 2nd Feb 2024.

Measure-ment points

Time

A1

A2

A3

A4

A5

A6

B1

B2

B3

B4

B5

B6

C1

C2

C3

C4

C5

C6

D1

D2

D3

D4

D5

D6

8:00 AM

2853

1138

1956

1229

2158

1249

739

575

520

698

1069

1417

635

458

464

752

1236

1639

586

410

482

888

1225

1516

10:00 AM

1992

1928

2402

1893

2841

2648

1253

937

779

924

1297

1731

1075

704

601

702

1087

1975

1010

578

467

571

1022

2153

12:00 PM

2767

2306

2010

2218

2428

2332

1399

1100

778

974

1194

1460

1283

800

619

662

864

1318

1220

654

466

472

693

1279

2:00 PM

2355

2551

1630

2495

2124

2551

1571

1202

772

970

1082

1393

1750

960

674

643

806

1161

1834

898

528

479

622

1097

4:00 PM

1666

2370

1230

2387

1435

2261

1633

1181

699

751

764

1011

1666

1320

752

586

596

815

9021

1462

726

480

475

777

6:00 PM

418

619

334

563

388

638

372

264

180

202

206

290

610

409

323

187

205

271

728

547

476

412

410

486

 

 

 

Table 7

Table 7 Calculated Light Intensity (Lux) in Sixth Floor Office Space on 2nd Feb 2024.

Measure-ment points

Time

A1

A2

A3

A4

B1

B2

B3

B4

B5

B6

C1

C2

C3

C4

C5

C6

D1

D2

D3

D4

D5

D6

8:00 AM

2736

1089

1871

1198

613

511

468

550

478

593

578

412

427

597

930

1336

495

362

457

829

1198

1924

10:00 AM

2894

1798

2385

1865

1028

845

696

754

513

747

989

622

511

555

768

1617

825

468

382

480

908

2058

12:00 PM

2493

2189

2015

2197

1127

977

714

802

412

548

1145

698

539

494

552

1005

998

525

369

386

574

1182

2:00 PM

2080

2416

1603

2455

1194

1041

665

765

379

504

1506

817

555

485

512

876

1512

691

417

361

516

990

4:00 PM

1438

2194

1212

2369

1088

939

557

585

269

359

1986

1053

597

406

387

614

1983

1201

577

355

412

690

6:00 PM

370

553

332

552

224

197

135

164

88

128

512

322

164

132

146

225

541

369

357

344

391

483

 

Table 8

Table 8 Calculated Light Intensity (Lux) in Third Floor Office Space on 3rd Feb 2024.

Measure-ment points

Time

A1

A2

A3

A4

A5

A6

B1

B2

B3

B4

B5

B6

C1

C2

C3

C4

C5

C6

D1

D2

D3

D4

D5

D6

8:00 AM

2814

1127

1894

1223

2128

1246

730

567

526

710

1069

1417

635

458

464

752

1236

1639

586

410

482

888

1225

1516

10:00 AM

1979

1901

2356

1873

2606

2016

1251

949

762

916

1297

1731

1075

704

601

702

1087

1975

1010

578

467

571

1022

2153

12:00 PM

2746

2301

2011

2213

2417

2321

1400

1098

783

977

1194

1460

1283

800

619

662

864

1318

1220

654

466

472

693

1279

2:00 PM

2340

2545

1616

2482

2116

2521

1568

1199

776

956

1082

1393

1750

960

674

643

806

1161

1834

898

528

479

622

1097

4:00 PM

1645

2339

1221

2374

1314

1994

1627

1178

720

750

764

1011

1966

1320

752

586

596

815

1021

1462

726

480

475

777

6:00 PM

417

610

328

556

388

623

369

265

176

191

206

290

610

409

323

187

205

271

728

547

476

412

410

486

 

 

 

 

 

Table 9

Table 9 Calculated Light Intensity (Lux) in Sixth Floor Office Space on 3rd Feb 2024.

Measure-ment points

Time

A1

 

A2

 

A3

 

A4

 

B1

 

B2

 

B3

 

B4

 

B5

 

B6

 

C1

 

C2

 

C3

 

C4

 

C5

 

C6

 

D1

 

D2

 

D3

 

D4

 

D5

 

D6

 

8:00 AM

2700

1076

1837

1195

604

498

469

566

477

593

583

413

435

607

933

1461

494

353

480

838

1275

2032

10:00 AM

2865

1783

2349

1842

1026

836

692

735

505

759

980

625

504

543

778

1619

823

462

383

491

929

2070

12:00 PM

2495

2163

2000

2188

1138

981

703

795

405

547

1144

693

523

501

565

1014

1009

525

365

378

579

1185

2:00 PM

2061

2409

1606

2452

1196

1035

669

766

386

504

1521

815

556

493

525

871

1542

699

440

374

522

1016

4:00 PM

1437

2180

1208

2345

1095

942

561

583

283

356

1974

1035

595

406

395

611

1970

1218

574

384

408

700

6:00 PM

368

552

328

549

225

195

141

151

93

125

548

343

170

145

150

227

552

378

354

385

414

507

 

RESULTS AND DISCUSSIONS

For time and physical constraint and easier understanding visual performance simulation analysis has been conducted for the four crucial dates - 21st March (equinox), 21st June (summer solstice), 21st September (equinox), and 21st December (winter solstice) of the year, representing summer, monsoon, and winter conditions in Vijayawada. For the more critical and finer selection of kinetic façade, daylight performance simulation analysis may be conducted for each month of a year. The findings from the analysis are synthetized and discussed in the following sections.

 

Sun-path and Shadow Analysis

The site is exposed to the direct sun which results in direct heat gain. So proper shading devices can help in reducing direct heat gain. Regarding the building site, 3D sun-path for summer solstice (for 21st June - Time: 12:00 pm, Azimuth angle: 15.93°, Altitude angle: 82.81°, Daylight hours: 13.07 Hrs.) and winter solstice (for 21st December - Time: 12:00 pm, Azimuth angle: 178.38°, Altitude angle: 50.03°, Daylight hours: 11.09 Hrs.) are shown in Figure 8. Further, shadow analysis of the office building facades for a representative hot summer (21st March) day is shown in Figure 9. It can be observed from the shadow analysis that north-east façade is subjected to the solar radiation from 7am to 11am in the morning; north-west façade is subjected to the solar radiation from 1pm to 6pm; south-east façade is subjected to the solar radiation from 7am to 1pm; and south-west façade is subjected to the solar radiation from 11am to 6pm. Hence, south-west, south-east and north-west façades of the building should be shaded to reduce the solar heat gain. The solar altitude angle values for the selected site location in Vijayawada during different season are shown in Table 10.

Figure 8

3D Sun-path for summer and winter solstice. Source: Authors and Andrew Marsh tool

Figure 8 3D Sun-Path for Summer and Winter Solstice.

Source: Authors and Andrew Marsh tool

 

 Figure 9

Shadow analysis of the office building facades. Source: Authors and Andrew Marsh too

Figure 9 Shadow Analysis of the Office Building Facades.

Source: Authors and Andrew Marsh tool

 

Table 10

Table 10 Sun Angles for the Selected Site Location in Vijayawada.

Source: Andrew Marsh Tool

Location

Enikepadu, Vijayawada, Andhra Pradesh (16.53° N Lat., 80.797° E Long.)

Time

Solar Altitude Angles

 

Spring Equinox

21st March

Summer Solstice

21st June

Autumn Equinox

21st September

Winter Solstice

21st December

7.00 am

18.09°

24.73°

21.78°

11.98°

8.00 am

32.31°

38.41°

35.98°

24.09°

9.00 am

46.25°

52.16°

49.85°

35.01°

10.00 am

59.44°

65.79°

62.82°

43.83°

11.00 am

70.26°

78.54°

72.63°

49.17°

12.00 pm

73.21°

81.49°

72.65°

49.60°

1.00 pm

65.28°

69.76°

62.86°

44.98°

2.00 pm

52.89°

56.24°

49.90°

36.61°

3.00 pm

39.23°

42.49°

36.03°

25.96°

4.00 pm

25.12°

28.78°

21.83°

14°

5.00 pm

10.85°

15.23°

7.56°

1.51°

6.00 pm

-3.52°

2.14°

-6.89°

-12.06°

 

Visual Comfort Questionnaire Survey of Office Staff

The study involved field-survey for gathering data through observations and distributing questionnaires to individuals who utilize the office during the daytime for work purposes. In total, 44 (20 male and 24 female) responses are taken at the site. The analysis of the responses of the visual comfort questionnaire survey are shown in Figure 10. The questionnaire is shared with the users of the office building as a google form as well as hard copies.

It is found from the analysis that users with east orientation desk feels discomfort from 10am to 12pm. Users with west orientation desk feels discomfort from 2pm to 4pm. Users with south orientation desk feels discomfort from 8am to 4pm throughout the day. Users with north orientation desk don’t receive required natural daylight as well as glare. Daylight distribution in the space is observed to be average by 82% users and not enough by rest users. Amount of view through windows is observed to be average by 73% users, inadequate by 9% users and adequate by 18% users. Quality of view through window is observed to be unpleasant by 18%, neither pleasant nor unpleasant by 46% and pleasant by 36%. The Sun in the office space is observed to be unpleasant by 55%, neither pleasant nor unpleasant by 18% and pleasant by 27%. The luminous environment of the office space is not satisfactory as per 73% users. Office uses artificial lighting for 5~7 hrs. by 55% users. Office users do not agree with the uniform distribution of natural daylight in the office space due to glare by 82% users and due to less availability of natural daylight by 18% users.

Useful insights obtained through the visual comfort questionnaire survey will be helpful to take necessary measures by the building owners and building designers and architects to improve the use of natural daylight in the office space and to increase the comfort level of the users which in turn can improve the office productivity, building energy-efficiency, and user wellbeing.

 Figure 10

Responses of visual comfort survey. Source: Authors

Figure 10 Responses of Visual Comfort Survey.

Source: Authors

 

Kinetic Façade Design Process

Conceptual Approach

As per the researchers Tabadkani et al. (2018), Hosseini et al. (2019), Tabadkani et al. (2019), Hosseini et al. (2021), Tabadkani et al. (2021), the tri-fold kinetic façade minimizes negative spaces and creates a visually cohesive and dynamic architectural feature. Various features of tri-fold kinetic façade are shown in Figure 11. The angle of opening of the tri-fold kinetic façade of each module is incremented to every 5˚ for conducting daylighting simulations (see Figure 12).

 Figure 11

Features of Tri-fold kinetic façade. Source: Adapted by Authors

Figure 11 Features of Tri-Fold Kinetic Façade.

Source: Adapted by Authors

 

Figure 12

A collage of different types of folding paper

AI-generated content may be incorrect. 

Figure 12 Kinetic Façade Angles with Top, Front and Side Elevation.

 Source: Adapted by Authors

 

 

Architectural details of Kinetic Façade

The components of the proposed kinetic façade module are shown in Figure 11(a)and(b). The opening ratio of the kinetic façade panels varies from 0˚ to 30˚ (see Figure 11 (c)). Kinetic façade panels are mounted on a triangular grid frame work made of Aluminum section 25 x 25mm. Panel is connected to the frame with stainless steel cast hinge - 25 x 20mm gap (see Figure 13(c)). Sectional detail with the fixing position of the kinetic façade is shown in Figure 13(a). Each floor has a height of 3.6m between finished floor level (FFL) to FFL. The extended slab projection on every floor makes it viable to fix the external envelop easily. Being easily accessible through the curtain wall, cleaning and maintenance also becomes convenient. Grid framework for placing the kinetic façade modules is shown in Figure 13(b). Reyno bond- composite aluminum sheet is chosen as appropriate material for kinetic façade module that can contribute to a more sustainable and environmentally friendly building design.

 

Figure 13

A diagram of a steel structure

AI-generated content may be incorrect.

Figure 13 (a) Sectional Detail Showing the Fixing Position of the Kinetic Façade; (B) Grid Framework for Placing Kinetic Façade Modules; (C) Panel to Frame Hinge Joinery Details.

Source: Authors

 

Design Iterations

The list of parameters considered in the design iteration process through simulation tool is shown in Table 11.

 

Table 11

Table 11 List of Parameters Considered

Parameters

Input

Purpose

Visual comfort

Kinetic quality

Mutual shading

Daylight amount and quality

Movement type

Fold

Application in project

South/ east/ west facade

Façade material

Reyno bond- composite aluminum sheet

Variable considered

Panel size: x=1m, x=1.5m and x=2m

Folding angle: 5˚, 10˚, 15˚ and 20˚

Parameters for assessment

sDA, ASE and sDG (Disturbing Glare)

Control

Semi-Automated control

Pattern features

Completely mutable shading Reduce reliance on artificial lighting during the day by maximizing the utilization of natural daylight. Controlling solar gain, glare, and privacy

 

For x=1m

The first set of simulations is done for x=1m i.e., 4 kinetic panel modules vertically mounted for each floor. The angle of openings is incremented in multiples of 5 degree. The details are shown in Figure 14(a)(b)and(c). Simulation results for 10-degree fold are shown in Figure 15. Similar simulation analysis is done for other fold values as well.  The findings from the analysis for different fold values are given in Table 12.

 Figure 14

Figure 14 Details regarding different selected module size. Source: Authors

Figure 14 Details Regarding Different Selected Module Size.

Source: Authors

 

 Figure 15

Simulation results for x=1m and 10-degree fold. Source: Authors and Rhino Software, Grasshopper (Ladybug and Honeybee plugins)

Figure 15 Simulation Results For X=1m and 10-Degree Fold.

Source: Authors and Rhino Software, Grasshopper (Ladybug and Honeybee Plugins)

 

Table 12

Table 12 Simulation results for x=1m.

Parameter

10˚

15˚

20˚

sDA300/50%

44.30%

69.30%

85.60%

96.90%

ASE1000,250

3.10%

4.60%

8.20%

14.30%

Avg. annual lux value

552 lux

847 lux

1114 lux

1365 lux

Intolerable glare (sDG)

3.20%

7.50%

15.20%

21.60%

Quality views

94.90%

94.90%

94.90%

94.90%

LEED Compliant

1-credit

2-credits

3-credits

3-credits

 

For x=1.5m

Next set of simulations is done for x=1.5m i.e., 3 kinetic panel modules vertically mounted for each floor. The angle of openings is incremented in multiples of 5 degree. The details are shown in 14(d)(e)and(f). Simulation results for 10-degree fold are shown in Figure 16. Similar simulation analysis is done for other fold values as well.  The findings from the analysis for different fold values are given in Table 13.

Figure 16

Simulation results for x=1.5m and 10-degree fold. Source: Authors and Rhino Software, Grasshopper (Ladybug and Honeybee plugins)

Figure 16 Simulation Results for x=1.5m and 10-Degree Fold.

Source: Authors and Rhino Software, Grasshopper (Ladybug and Honeybee plugins)

 

Table 13

Table 13 Simulation Results for x=1.5m.

Parameter

10˚

15˚

20˚

sDA300/50%

45.20%

64.50%

76.80%

88.60%

ASE1000,250

4.30%

6%

9.80%

12.20%

Avg. annual lux value

621 lux

876 lux

1120 lux

1349 lux

Intolerable glare (sDG)

4.30%

6.80%

12.80%

18.60%

Quality views

95%

95%

95%

95%

LEED Compliant

1-credit

3-credits

3-credits

3-credits

 

For x=2m

Next set of simulations is done for x=2m i.e., 2 kinetic panel modules vertically mounted for each floor. The angle of openings is incremented in multiples of 5 degree. The details are shown in 14(g)(h)and(i). Simulation results for 10-degree fold are shown in Figure 17. Similar simulation analysis is done for other fold values as well.  The findings from the analysis for different fold values are given in Table 14.

 

Figure 17

Simulation results for x=2m and 10-degree fold. Source: Authors and Rhino Software, Grasshopper (Ladybug and Honeybee plugins)

Figure 17 Simulation Results For x=2m and 10-Degree Fold.

 Source: Authors and Rhino Software, Grasshopper (Ladybug and Honeybee Plugins)

 

Table 14

Table 14 Simulation Results for x=2m.

Parameter

10˚

15˚

20˚

SDA300/50%

46.50%

61.30%

72.60%

82.20%

ASE1000,250

6.30%

7.90%

12.60%

15.10%

Avg. annual lux value

723 lux

952 lux

1174 lux

1380 lux

Intolerable glare (sDG)

6.20%

8.10%

12.80%

17.90%

Quality views

95%

95%

95%

95%

LEED Compliant

1-credit

3-credits

2-credits

3-credits

 

 

Results of the Daylight Simulation

As per design iteration I, II and III, iteration II is considered as it shows better results compared with I and III with respect to sDA, ASE and sDG. After considering design iteration II, (i.e., x=1.5m) the daylight simulations are done for fifth floor of the office building, on the four important dates of the year, keeping time constant at 12:30pm - 21st March (equinox), 21st June (summer solstice), 21st September (equinox), and 21st December (winter solstice). The simulations are carried out for every 5˚ increment in the angle of opening of the kinetic wings. The results are obtained for – (i) Spatial Daylight Autonomy; (ii) Annual Sunlight Exposure, (iii) Point in-time daylight illuminance, (iv) Annual glare, and (v) View analysis. The simulations are not carried out beyond opening angle of 20˚ because it shows excessive glare. The results of the daylight simulations are shown in Figure 18.

Figure 18

 

Figure 18 Results of the Daylight Simulation for x=1.5m.

Source: Authors and Rhino and Grasshopper (Ladybug and Honeybee Plugins)

 

In absence of the proposed kinetic façade, for the fifth floor of the office building the ASE value is calculated as 45.5% and annual disturbing glare (sDG) is calculated as 48.4% through simulation analysis. Hence, as per the details shown in Figure 18, by designing the proposed adaptive kinetic façade, ASE can be reduced by 73-90% and sDG can be reduced by 73-91% which is significant improvement. This will improve the indoor comfort condition by creating cooling effect. However, the detailed thermal performance analysis of the proposed kinetic façade is beyond the scope of the present research.

 

Design Iterations

A number of design iterations with all possible combinations of angle openings (specific angles with 5˚ increment, i.e., 5˚, 10˚, 15˚, and 20˚) on the three façade that are south façade, west façade and east façade are performed to evaluate the visual performance. For each month, 24 iterations with all possible angles are evaluated for each time period. In total, 144 iterations are evaluated for each month (see Figure 19). Here, 5˚ open means mostly closed and 20˚ open means more than 50% open. The best combinations of wing angles are selected based on its compliance with LEED daylighting standards. The daylighting metrics are sDA, ASE and Glare.

 

Figure 19

Combination of opening angles and its daylighting performance. Source: Authors and Design Builder

 Figure 19 Combination of Opening Angles and its Daylighting Performance.

Source: Authors and Design Builder

 

 

 

 

Optimal Opening Angle of Façade Panel

As per the simulation analysis, optimal opening angles and daylighting plans in terms of sDA, ASE and glare for respective opening angles of south, east and west facade for 21st March, 21st June, 21st September, and 21st December at timings from 8am-6pm are shown Figure 20, 21, 22 and 23 respectively.

Figure 20

Figure 20 Optimal Opening Angles and Daylighting Plans for 21st March.

 Source: Authors

 

 

Figure 21

Figure 21 Optimal Opening Angles and Daylighting Plans for 21st June.

Source: Authors

 

Figure 22

Optimal opening angles and daylighting plans for 21st September. Source: Authors

Figure 22 Optimal Opening Angles and Daylighting Plans for 21st September.

 Source: Authors

 

Views of Proposed Kinetic Façade

A tri-fold kinetic façade has been designed to enhance the visual performance of a building, as well as to create a dynamic and interactive architectural feature that also improves the functionality and aesthetic quality of buildings. The detailed 3D view and elevations of the office building with the proposed kinetic façade is shown in Figure 24.

 

Figure 24

View and elevations of the office building with the proposed kinetic façade. Source: Authors

Figure 24 View and Elevations of the Office Building with the Proposed Kinetic Façade.

 Source: Authors

 

CONCLUSION

One of the crucial aspects of the scientific process is replicability. This study presents a novel computational approach by integrating simulation tools with design process in real time that enables a wide range of stakeholders, including architects, designers, researchers, and students, to investigate and analyze the impact of kinetic facades on visual comfort metrics. By employing an optimization framework, the study addresses the critical stages of achieving optimal interior illuminance and user visual comfort in the office building, demonstrating the novelty and effectiveness of the proposed approach. Further, the results obtained from the calculation by the simulation tool are validated with the data obtained through on-site physical measurement which indicates the robustness of the proposed computational approach.  Although, aspects of thermal performance, energy-efficiency, etc. can be added to this framework in the future research-works to further assist in the optimal design of building façade.

Looking forward, the development of adaptive kinetic pattern design will be a significant priority in computational design theory and practice, particularly in the context of parametric design systems. While devising a new pattern parametric design strategy can be a challenging task, utilizing existing design strategies as a reference point could serve as a useful guideline for generating kinetic patterns.

The findings of the study provide valuable insights into the potential of kinetic facades to enhance visual comfort, highlighting the importance of continued research and development in this field. The study's approach and tool can help architects and designers in developing effective and sustainable facade design solutions that prioritize user comfort while simultaneously meeting performance and aesthetic requirements. Overall, this study represents a crucial step towards achieving optimal visual comfort in buildings, and it opens new avenues for future research in this area.

  

ACKNOWLEDGMENTS

None.

 

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