Cost and CO2 Emission Optimization of Steel Reinforced Concrete Columns in High-Rise Buildings

Energies

Hyo Seon Park³  Bongkeun Kwon²  Yunah Shin³  Yousok Kim¹  Taehoon Hong³ 

[1] Center for Structural Health Care Technology in Buildings, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Korea; E-Mail:;Library, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Korea; E-Mail:;Department of Architectural Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Korea; E-Mails:

关键词: CO₂ emissions;    cost;    embodied energy;    optimization;    composite columns;   

DOI  :  10.3390/en6115609

来源: mdpi

【 摘 要 】

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 than steel section and using high-strength materials are economically and environmentally effective methods.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.