Cost and CO2 emission optimization of steel reinforced concrete columns in high-rise buildings

Hyo Seon Park, Bongkeun Kwon, Yunah Shin, Yousok Kim, Taehoon Hong, Se Woon Choi

Research output: Contribution to journalArticle

42 Citations (Scopus)

Abstract

The construction industry is a representative industry that consumes large amounts of energy and produces substantial pollution. The operation of a building accounts for a large portion of its total CO2 emissions. Most efforts are focused on improving the energy efficiency related to the operation of a building. The relative importance of the energy and CO2 emissions from the construction materials increases with the increasing number of low-energy buildings. To minimize the life-cycle energy use of a building, the energy consumed from both materials in the construction phase as well as the energy consumed from the operation of the building must be reduced. In this study, an optimal design method for composite columns in high-rise buildings using a genetic algorithm is proposed to reduce cost and CO2 emissions from the structural materials in the construction phase. The proposed optimal method minimizes the total cost, including the additional cost calculated based on CO2 emissions from composite columns, while satisfying the structural design criteria and constructability conditions. The proposed optimal method is applied to an actual 35-story building, and the effective use of structural materials for the sustainable design of composite columns is investigated. It is shown that using more concrete thansteel section and using high-strength materials are economically and environmentally effective methods.

Original languageEnglish
Pages (from-to)5609-5624
Number of pages16
JournalEnergies
Volume6
Issue number11
DOIs
Publication statusPublished - 2013 Nov

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

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