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A Study on Estimating Recycling Potential of Demolition Waste Generated in End-of-Life of Buildings by Structural Type Considering Economic Efficiency

경제적 효율성 측면에서 건축물 구조를 고려한 해체폐기물의 재활용가능성에 관한 연구

  • 차기욱 (단국대학교 건축공학과) ;
  • 김진호 (인천대학교 도시건축학부) ;
  • 문현준 (단국대학교 건축공학과) ;
  • 김영찬 (창신대학교 소방방재공학과) ;
  • 홍원화 (경북대학교 건설환경에너지공학부)
  • Received : 2020.02.20
  • Accepted : 2020.03.24
  • Published : 2020.04.30

Abstract

This study investigates the recycling potential of demolition waste (DW) according to building structure, while considering economic aspects. For that, this study surveyed 1,034 residential buildings to collect reliable information on demolition waste generation rates (DWGRs). This study suggested a method for operational cost calculation for each stage and carried out an inventory analysis. The economic value of recycled DW materials was also calculated. And then, the recycling potential(RP) was calculated by building structures and waste types. RP by building structure was low (27-40%), and RP was found in the order of masonry-block, wooden, RC and concrete-brick. By type of DWs, the RP of aggregates was considerably lower than 7%, and DWs such as wood, plastics, and metals showed more than 100% RP. Considering the results of this study, In order to improve the RP of buildings and DWs, the diversification of products that recycled waste like aggregates (i.e., mortar, concrete, bricks, blocks, tiles) and the development of high value-added products are considered to be the most urgent problems. Based on the above RP results, this study proposed a more advanced method for life cycle assessment of buildings and demolition waste.

Keywords

Acknowledgement

Supported by : 인천대학교

이 연구는 2018년도 인천대학교 교내연구과제 지원을 받아 수행된 연구의 결과임 (과제번호: 2018-0187).

References

  1. Butera, S., Christensen, T.H., & Astrup, T.F. (2014). Composition and leaching of construction and demolition waste: inorganic elements and organic compounds, Journal of Hazardous Materials, 276, 302-311. https://doi.org/10.1016/j.jhazmat.2014.05.033
  2. Cha, G.W., Kim, Y.C., Moon, H.J., & Hong, W.H. (2017). New approach for forecasting demolition waste generation using chi-squared automatic interaction detection (CHAID) method, Journal of Cleaner Production, 168, 375-385. https://doi.org/10.1016/j.jclepro.2017.09.025
  3. Choi, W., Lee, J, W., Huh, M, H., & Kang, S, H. (2003). An Algorithm for Computing the Exact Distribution of the Kruskal-Wallis Test, Communications in Statistics - Simulation and Computation, 32(4), 1029-1040. https://doi.org/10.1081/SAC-120023876
  4. Cochran, K., Townsend, T., Reinhart, D., & Heck, H. (2007). Estimation of regional building-related C&D debris generation and composition: Case study for Florida, US, Waste Management, 7, 921-931.
  5. Ding, T., & Xiao, J. (2014). Estimation of building-related construction and demolition waste in Shanghai, Waste Management, 34, 2327-2334. https://doi.org/10.1016/j.wasman.2014.07.029
  6. Duran, X., Lenihan, H., & O'Regan, B. (2006). A model for assessing the economic viability of construction and demolition waste recycling-the case of Ireland, Resources, Conservation & Recycling, 46, 302-320. https://doi.org/10.1016/j.resconrec.2005.08.003
  7. Li, J., Ding, Z., Mi, X., & Wang, J. (2013). A model for estimating construction waste generation index for building project in China, Resources, Conservation & Recycling, 74, 20-26. https://doi.org/10.1016/j.resconrec.2013.02.015
  8. Llatas, C. (2011). A model for quantifying construction waste in projects according to the European waste list, Waste Management, 31, 1261-1276. https://doi.org/10.1016/j.wasman.2011.01.023
  9. Lu, W., Yuan, H., Li, J., Hao, J.J., Mi, X., & Ding, Z. (2011). An empirical investigation of construction and demolition waste generation rates in Shenzhen city, South China, Waste Management, 31(4), 680-687. https://doi.org/10.1016/j.wasman.2010.12.004
  10. Wang, T., Wang, J., Wu, P., Wang, J., He, Q., & Wang, X. (2018). Estimating the environmental costs and benefits of demolition waste using life cycle assessment and willingness-to-pay: A case study in Shenzhen, Journal of Cleaner Production, 172, 14-26. https://doi.org/10.1016/j.jclepro.2017.10.168
  11. Wu, H., Duan, H., Zheng, L., Wang, J., Niu, Y., & Zhang, G. (2016a). Demolition waste generation and recycling potentials in a rapidly developing flagship megacity of South China: Prospective scenarios and implications, Construction and Building Materials, 113, 1007-1016. https://doi.org/10.1016/j.conbuildmat.2016.03.130
  12. Wu, H., Wang, J., Duan, H., Ouyang, L., Huang, W., & Zuo, J. (2016b). An innovative approach to managing demolition waste via GIS (geographic information system): a case study in Shenzhen city, China, Journal of Cleaner Production, 112, 494-503. https://doi.org/10.1016/j.jclepro.2015.08.096
  13. Zheng, L., Wu, H., Zhang, H., Duan, H., Wang, J., Jiang, W., Dong, B., Liu, G., Zuo, J., & Song, Q. (2017). Characterizing the generation and flows of construction and demolition waste in China, Construction and Building Materials, 136, 405-413. https://doi.org/10.1016/j.conbuildmat.2017.01.055