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Haidar, A, Underwood, J and Coates, P (2019) Smart processes for smart buildings: ‘sustainable processes’, ‘recyclable processes’ and ‘building seeds’ in parametric design. Architectural Engineering and Design Management, 15(05), 402–29.

Jalilzadehazhari, E, Johansson, J and Mahapatra, K (2019) Applying a decision-making framework for resolving conflicts when selecting windows and blinds. Architectural Engineering and Design Management, 15(05), 382–401.

  • Type: Journal Article
  • Keywords: Decision-making; big data; optimisation; non-dominated sorting genetic algorithm II; analytical hierarchy process; trade-off design;
  • ISBN/ISSN: 1745-2007
  • URL: https://doi.org/10.1080/17452007.2018.1550383
  • Abstract:
    The selection of the most appropriate window and blind design is a challenging task due to the existence of potential conflicts between visual comfort, thermal comfort, energy consumption and life cycle cost. Resolving these conflicts relies on a trade-off window and blind design. This research applied a decision-making framework to select a trade-off window and blind design for an office room in Sweden. The decision-making framework was developed based on integrating the non-dominated sorting genetic algorithm-II and the analytical hierarchy process. The first step in the application of the framework was to generate a model of the office room using EnergyPlus. Six types of window and four types of blind; an internal venetian blind, an internal roller curtain, an external venetian blind and an external overhang panel, were modelled in EnergyPlus. The second step was to run an optimisation using non-dominated sorting genetic algorithm-II. For this purpose, various window and blind design variables were specified in modeFRONTIER platform. The third and last step in the application of the decision-making framework was to select a trade-off window and blind design using analytical hierarchy process. The results show the strength of the decision-making framework in selecting a trade-off design, and thereby the ability to resolve conflicts through intelligent use of simulation in analyzing big-data in built environment, energy and cost sectors. Since, the computation and processing power for performing simulations is constantly increasing, architects and designers can exploit the decision-making framework and locate a trade-off design in a relatively short period of time.

Jalilzadehazhari, E, Johansson, P, Johansson, J and Mahapatra, K (2019) Developing a decision-making framework for resolving conflicts when selecting windows and blinds. Architectural Engineering and Design Management, 15(05), 357–81.

Moloney, J, Globa, A, Wang, R, Khoo, C K and Tokede, O (2019) Hybrid environmental-media facades: rationale and feasibility. Architectural Engineering and Design Management, 15(05), 313–33.

Petrova, E, Pauwels, P, Svidt, K and Jensen, R L (2019) Towards data-driven sustainable design: decision support based on knowledge discovery in disparate building data. Architectural Engineering and Design Management, 15(05), 334–56.