Science Foresight in Wind-catcher Technology: Application of Life-cycle, Text Mining and Cluster Analysis

Rezaeian, Mina; Zare AhmadAbadi, Habib; Montazeri, Hamid

doi:10.22104/jtdm.2015.185

Science Foresight in Wind-catcher Technology: Application of Life-cycle, Text Mining and Cluster Analysis

Document Type : Research Paper

Authors

Mina Rezaeian

Habib Zare AhmadAbadi

Hamid Montazeri

10.22104/jtdm.2015.185

Abstract

Nowadays, foresight techniques are used widely in different fields. Using these methods helps us to deal with future phenomena. Hence, this type of science is used in the field of energy management. Based on our knowledge, there is no such a study in which foresight methods has been used in the field of natural ventilation in residential areas. This paper describes the development and application of a science foresight methodology, and shows how it can be used to outline future research opportunities for a specific natural ventilation concept, the wind catcher. . The analysis is performed on the basis of 70 peer-reviewed papers. First, life-cycle analysis is used to map the current and future development trends of wind catcher systems. Next, using text mining and clustering analysis, the knowledge gaps and uncharted research areas in this field are identified. This information is used to evaluate the possible opportunities for new research and development activities. The paper concludes with a reflection on the methodology and its potential in future studies.

Keywords

Science foresight

Life-cycle analysis

Text mining

Natural ventilation

Wind-catcher technology

Subjects