Recycling of Building Interior Decoration and Renovation Waste: A Case Study in China

Of all the construction waste, the building interior decoration and renovation waste (D&R waste) is difficult to dispose of and recycle due to its complex components and varied producers. The goal of this study is to reveal the current situation of D&R waste disposal through case studies and...

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Main Authors: Wenjia Pan, Hong Zhang, Shanggang Hei, Yingjian Yang, Xifeng Xu, Chao Zhou, Baolin Huang, Haochen Xu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Buildings
Subjects:
Online Access:https://www.mdpi.com/2075-5309/15/2/252
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author Wenjia Pan
Hong Zhang
Shanggang Hei
Yingjian Yang
Xifeng Xu
Chao Zhou
Baolin Huang
Haochen Xu
author_facet Wenjia Pan
Hong Zhang
Shanggang Hei
Yingjian Yang
Xifeng Xu
Chao Zhou
Baolin Huang
Haochen Xu
author_sort Wenjia Pan
collection DOAJ
description Of all the construction waste, the building interior decoration and renovation waste (D&R waste) is difficult to dispose of and recycle due to its complex components and varied producers. The goal of this study is to reveal the current situation of D&R waste disposal through case studies and put forward the correlation proposal to improve standards of D&R waste recycling. This study investigated the various stages of the D&R waste management process, including generation, collection, transportation, sorting, recycling, and landfilling. Detailed studies were conducted for (i) the composition of D&R waste and (ii) the material flow analysis (MFA) of D&R waste recycling in different cases with different sorting technology. The results show that (i) concrete, stone, and other hard inorganic materials accounted for about 35–55% of the total. Soft inorganic materials such as aerated concrete and gypsum made up 5–25%, slag 15–20%, timber 5–10%, combustible matter such as plastic, rubber, and paper 9–12%, and glass and metal 1–5%, and (ii) artificial intelligence (AI) sorting offers better sorting performance and economic advantages over manual sorting, promoting the application of artificial AI sorting equipment as important solutions to face the key challenges of D&R waste recycling.
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institution Kabale University
issn 2075-5309
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publishDate 2025-01-01
publisher MDPI AG
record_format Article
series Buildings
spelling doaj-art-edb2f73411624b0caeea53c9856f11552025-01-24T13:26:21ZengMDPI AGBuildings2075-53092025-01-0115225210.3390/buildings15020252Recycling of Building Interior Decoration and Renovation Waste: A Case Study in ChinaWenjia Pan0Hong Zhang1Shanggang Hei2Yingjian Yang3Xifeng Xu4Chao Zhou5Baolin Huang6Haochen Xu7School of Architecture, Southeast University, Nanjing 210096, ChinaSchool of Architecture, Southeast University, Nanjing 210096, ChinaSchool of Architecture, Southeast University, Nanjing 210096, ChinaJiangsu Lvhe Environmental Technology Co., Ltd., Changzhou 213000, ChinaJiangsu Keson Environmental Technology Co., Ltd., Suzhou 215137, ChinaSchool of Architecture, Southeast University, Nanjing 210096, ChinaSchool of Architecture, Southeast University, Nanjing 210096, ChinaSchool of Architecture, Southeast University, Nanjing 210096, ChinaOf all the construction waste, the building interior decoration and renovation waste (D&R waste) is difficult to dispose of and recycle due to its complex components and varied producers. The goal of this study is to reveal the current situation of D&R waste disposal through case studies and put forward the correlation proposal to improve standards of D&R waste recycling. This study investigated the various stages of the D&R waste management process, including generation, collection, transportation, sorting, recycling, and landfilling. Detailed studies were conducted for (i) the composition of D&R waste and (ii) the material flow analysis (MFA) of D&R waste recycling in different cases with different sorting technology. The results show that (i) concrete, stone, and other hard inorganic materials accounted for about 35–55% of the total. Soft inorganic materials such as aerated concrete and gypsum made up 5–25%, slag 15–20%, timber 5–10%, combustible matter such as plastic, rubber, and paper 9–12%, and glass and metal 1–5%, and (ii) artificial intelligence (AI) sorting offers better sorting performance and economic advantages over manual sorting, promoting the application of artificial AI sorting equipment as important solutions to face the key challenges of D&R waste recycling.https://www.mdpi.com/2075-5309/15/2/252decoration and renovation waste (D&R waste)compositionartificial intelligence (AI) sortingmaterial flow analysis (MFA)D&R waste recycling
spellingShingle Wenjia Pan
Hong Zhang
Shanggang Hei
Yingjian Yang
Xifeng Xu
Chao Zhou
Baolin Huang
Haochen Xu
Recycling of Building Interior Decoration and Renovation Waste: A Case Study in China
Buildings
decoration and renovation waste (D&R waste)
composition
artificial intelligence (AI) sorting
material flow analysis (MFA)
D&R waste recycling
title Recycling of Building Interior Decoration and Renovation Waste: A Case Study in China
title_full Recycling of Building Interior Decoration and Renovation Waste: A Case Study in China
title_fullStr Recycling of Building Interior Decoration and Renovation Waste: A Case Study in China
title_full_unstemmed Recycling of Building Interior Decoration and Renovation Waste: A Case Study in China
title_short Recycling of Building Interior Decoration and Renovation Waste: A Case Study in China
title_sort recycling of building interior decoration and renovation waste a case study in china
topic decoration and renovation waste (D&R waste)
composition
artificial intelligence (AI) sorting
material flow analysis (MFA)
D&R waste recycling
url https://www.mdpi.com/2075-5309/15/2/252
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