Volume 10, Issue 2 (2020)
Naqshejahan 2020, 10(2): 75-83 |
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Mahdavinejad M. Designerly Approach to Energy Efficiency in High-Performance Architecture Theory. Naqshejahan 2020; 10 (2) :75-83
URL: http://bsnt.modares.ac.ir/article-2-41547-en.html
URL: http://bsnt.modares.ac.ir/article-2-41547-en.html
Art & Architecture Faculty, Tarbiat Modares University, Tehran, Iran , mahdavinejad@modares.ac.ir
Abstract: (4596 Views)
Aims: Pathology shows that conventional training methods have not been able to be successful in transmitting energy consumption reduction concepts. Therefore, this study uses the intellectual device of "high-performance architecture theory" to explain the characteristics of the “designerly” approach to “energy efficiency” and its effect on increasing the efficiency of architectural design training.
Methods: Through closed-ended questionnaires, the research, with self-expression with the participation of 20 professors and 85 graduate students of architecture, asks how much the audience is familiar with the topics of "building physics" and energy efficiency and to what extent does the audience evaluates the relevant academic teachings practical.
Findings: The results indicate that the training at the country's top universities is based on the information-based model (not the design-basis) and is therefore evaluated "non-practical" by the audience.
Conclusion: High-performance architecture theory suggests using designerly patterns in reduction of energy consumption in “architecture design training” and change of perspective to replace "emotional-formalist" super-architect training (conventional methods) with training an architect familiar to the use of up-to-date technology. The most important topics for the realization of this theory in architectural education are: move from "tacit knowledge" to "deep learning", from "unique data" to "super-data", from "conventional control and monitoring methods" to the internet of things, and from the old system of "building mapping" to "building data modeling".
Methods: Through closed-ended questionnaires, the research, with self-expression with the participation of 20 professors and 85 graduate students of architecture, asks how much the audience is familiar with the topics of "building physics" and energy efficiency and to what extent does the audience evaluates the relevant academic teachings practical.
Findings: The results indicate that the training at the country's top universities is based on the information-based model (not the design-basis) and is therefore evaluated "non-practical" by the audience.
Conclusion: High-performance architecture theory suggests using designerly patterns in reduction of energy consumption in “architecture design training” and change of perspective to replace "emotional-formalist" super-architect training (conventional methods) with training an architect familiar to the use of up-to-date technology. The most important topics for the realization of this theory in architectural education are: move from "tacit knowledge" to "deep learning", from "unique data" to "super-data", from "conventional control and monitoring methods" to the internet of things, and from the old system of "building mapping" to "building data modeling".
Keywords: Future Architecture, Architecture of Future, High-Performance Architecture, Building Physics, Energy Efficiency
Article Type: Original Research |
Subject:
Highperformance Architecture
Received: 2020/03/21 | Accepted: 2020/06/25 | Published: 2020/09/20
Received: 2020/03/21 | Accepted: 2020/06/25 | Published: 2020/09/20
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