Decision making criteria for Optimal Selection of Innovative Daylighting Systems in Buildings, Using Integrated Delphi/Dematel/AHP Approach

Mostafa Gholipour Gashniani


Nowadays, dense cities has led towards the decrease of daylight penetration into the interior space. Daylight crisis in buildings brings significant challenges to architecture, in three domains of economic, health - wellbeing and environment. "Light well" as one of the most common means of daylight tolls in building, experiences severe limitations and requires special attention. The question is which strategy is the best for increasing the daylight penetration to the depth of buildings. One of the main challenges in deep plan is to guide daylight into the building core and this can be performed through daylighting strategies, but the choice of the proper innovative daylighting system (IDS) with several parameters is the problem. This paper aims to find elements for optimal choice and selecting context-compatible tools for light well. The result shows that four macro factors were found at the interaction of building and IDS. Identifying the integration components can play an effective role in decision-making or design a new tolls consistent with the physical conditions of light well and building to overcome the daylight crisis. The present study aimed to identify, evaluate, and weigh the factors affecting the selection of appropriate and innovative daylighting systems for buildings. To this end, a three-phase study was planned and carried out. In the first phase, the factors affecting the selection of daylighting systems for the building were screened and finalized by using the Delphi method in three steps. In the second phase, interactions between criteria and sub-criteria were evaluated by the DEMATEL technique and then the network of communications and significant relationship between them were determined. The analytic hierarchy process (AHP) was employed in the third phase to evaluate the criteria and determine their importance in the selection of daylighting systems. Finally, the relevant sub-criteria were extracted and prioritized. The results indicated that structural, economic, and technical criteria were more effective than functional criteria in the selection of daylighting systems for buildings.


Daylighting; Innovative Daylighting System, System Selection, Deep Plan Buildings

Full Text:



Mayhoub, M. S. (2014). Innovative daylighting systems’ challenges: A critical study. Energy and Buildings, 80, 394–405.

Compagnon, R. (2002). Advanced Daylighting Systems. Daylight Design of Building, (London, UK), Chapter 9.

Garcia-hansen, V., Isoardi, G., Hirning, M., & Bell, J. (2012). an Assessment Tool for Selection of Appropriate Daylighting Solutions for Buildings in Tropical and Subtropical Regions : Validation Using Radiance Simulation. Wref, 1–8.

WAI, T. K. (2010). Run Run Shaw Library Copyright Warning performances in office buildings and applications of light-guide system coupled with redirecting. Phd thesis city university of hong kong.

Heschong Lisa, & Mudit, S. (2010). Improving Prediction of Daylighting Performance, 103–116.

Maxey, L. C. (2008). Flexible sunlight - the history and progress of hybrid solar lighting. In Emerging Environmental Technology, (V. Shah, Springer).

Pohl, W., & Anselm C. (2000). C. Review of existing Heliostats. European Commission DG XII, (Austria).

Kim, J. T., & Kim, G. (2010). Overview and new developments in optical daylighting systems for building a healthy indoor environment. Building and Environment, 45(2), 256–269. article.

Pazhoohesh, M., & Zhang, C. (2018). A satisfaction-range approach for achieving thermal comfort level in a shared office. Building and Environment, 142, 312-326.

Pazhoohesh, M., & Zhang, C. (2018). Investigating Occupancy-Driven Air-Conditioning Control Based on Thermal Comfort Level. Journal of Architectural Engineering, 24(2), 04018003.

Pazhoohesh, M., & Zhang, C. (2015). Automated construction progress monitoring using thermal images and Wireless Sensor Networks. GEN, 101, 01.

Ghayouraneh, S., El-Ghazaly, S. M., & Rankin, J. M. (2018). Dynamic Addressing for On-Demand Mobility. In 2018 Aviation Technology, Integration, and Operations Conference (p. 4152).

Ghayouraneh, S., Rankin, J. M., & El-Ghazaly, S. M. (2019, April). Practical Considerations in Traffic Flow Systems for ODM Vehicles. In 2019 Integrated Communications, Navigation and Surveillance Conference (ICNS) (pp. 1-7). IEEE.

Ghayouraneh, S., El-Ghazaly, S., & Rankin, J. (2019). Investigation of Traffic Flow for ODM Vehicles in Dynamic ICAO Addressing Process. In AIAA Aviation 2019 Forum (p. 3627).

Hassantabar, S., Wang, Z., & Jha, N. K. (2019). SCANN: Synthesis of compact and accurate neural networks. arXiv preprint arXiv:1904.09090.

Hassantabar, S., Dai, X., & Jha, N. K. (2019). STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods. arXiv preprint arXiv:1912.05831

Ramtin, A., Hakami, V., & Dehghan, M. (2013, December). A Perturbation-Proof Self-stabilizing Algorithm for Constructing Virtual Backbones in Wireless Ad-Hoc Networks. In International Symposium on Computer. Networks and Distributed Systems (pp. 66-76). Springer, Cham

Ramtin, A., Hakami, V., & Dehghan, M. (2014, September). A self-stabilizing clustering algorithm with fault-containment feature for wireless sensor networks. In 7'th International Symposium on Telecommunications (IST'2014) (pp. 735-739). IEEE.

Ramtin, A., Hakami, V., & Dehghan, M. (2014, May). Self-stabilizing algorithms of constructing virtual backbone in selfish wireless ad-hoc networks. In 2014 22nd Iranian Conference on Electrical Engineering (ICEE) (pp. 914- 919). IEEE.

Gholipour Gashniani M. a, Faizi M. a, Mehdizadeh Saradj F. (2017). Integration Issues For Using Innovative Daylighting Strategies In Light Wells. Journal Of Applied Engineering Sciences, VOL. 7(20), ISSUE 2/2017. 31-38. DOI: 10.1515/jaes-2017-0010

Faizi, M., Mehdizadeh Seraj, F. , Gholipour Gashniani, M. (2016) Review of the innovative strategies to improve daylight penetration in building, Journal of Fundamental and Applied Sciences, Fundam Appl Sci. 2016, 8(3S), 1428-1447.

Okoli C, Pawlowski SD. The Delphi method as a research tool: an example, design considerations and applications. Information and Managment 2004; 42(1): 15-29.

Windle PE. Delphi technique: assessing component needs. J Perianesth Nurs 2004 Feb; 19(1): 46-7.

Manca DP, Varnhagen S, Brett-McLean P, Allan GM, Szafran O, Ausford A. Rewards and challenges of family practice: web-based survey using the Delphi method. Can FAM Physician 2007 Feb; 53(2): 278- 86, 277

Landeta J. Current validity of the Delphi method in social sciences. Technological Forecasting and Social Change 2006; 73(5); 467-82.

Loo R. 2002. “The Delphi method: a powerful tool for strategical management”, Policing:An International Journal of Police Strategies & Management, Vol.25, No.4, p.762.



  • There are currently no refbacks.

Copyright (c) 2020 International Journal of Multicultural and Multireligious Understanding

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

International Journal of Multicultural and Multireligious Understanding (IJMMU) ISSN 2364-5369
Copyright © 2014-2018 IJMMU. All rights reserved.