Energy conservation and carbon reduction potential for solid waste in China

Wang, Minxi; Li, Zhi; Lu, Chunhua; Liu, Ping; Zhang, Rui; Wei, Liu; Ma, Yu; Wang, Yajie

doi:10.1007/s11356-020-10571-z

Cited by 17 publications

(3 citation statements)

References 25 publications

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“…The study found that most of the carbon emissions from steel come from the product stage. The use of recycled steel emits half the amount of carbon dioxide of virgin steel [57]. Moreover, it has a higher recycling rate and more mature recycling technology [58].…”

Section: Carbon Reduction Potential Of Recycling Cdrwmentioning

confidence: 99%

Quantifying the Carbon Reduction Potential of Recycling Construction Waste Based on Life Cycle Assessment: A Case of Jiangsu Province

Liu

Guo

Tian

et al. 2022

IJERPH

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The recycling of construction waste is key to reducing waste generation and CO2 emissions. This study aimed to develop a quantitative model for analyzing the carbon reduction potential of recycling construction, demolition, and renovation waste (CDRW) in Jiangsu province. The waste generation rate calculation method and nonlinear autoregressive artificial neural network model were used to estimate and predict CDRW generation. The life cycle assessment was performed to calculate the carbon reduction potential of recycling CDRW. In quantifying the carbon reduction potential, not only construction and demolition waste, but also renovation waste was considered for the first time. The results showed that the total carbon reduction potential of recycling CDRW increased from 3.94 Mt CO2e in 2000 to 58.65 Mt CO2e in 2020. Steel and concrete were the main contributors. By scenario analysis, the carbon reduction potential of fully recycling CDRW in 2020 increased by 37.79 Mt CO2e, a growth rate of 64%. The study further predicts future CDRW generation and the corresponding carbon reduction potential. Our conclusions indicate that 245.45 Mt of CDRW will be generated in 2030, and carbon reduction potential may reach 82.36 Mt CO2e. These results will help the government manage construction waste better and reach early achievement of the carbon peak target.

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Section: Carbon Reduction Potential Of Recycling Cdrwmentioning

confidence: 99%

Quantifying the Carbon Reduction Potential of Recycling Construction Waste Based on Life Cycle Assessment: A Case of Jiangsu Province

Liu

Guo

Tian

et al. 2022

IJERPH

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“…The mechanism of the driving forces influencing RWH generation tends to be regionally different. Managing the massive RWH has inevitably become a tough challenge for the Chinese government [32,33]. It is suggested that local governments need to make appropriate plans according to local conditions and economic and social development to determine the mechanism.…”

Section: Introductionmentioning

confidence: 99%

The Generation and Effects for Recyclable Waste from Households in a Megapolis: A Case Study in Shanghai

Zhao

et al. 2022

Sustainability

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Shanghai is one of the world-leading megapolises facing the challenge of ecological sustainable development. The recyclable waste from households (RWH) generated in Shanghai has increased rapidly since the implementation of garbage classification in 2019. However, there are no rigorous data on the generation and collection of RWH, and the corresponding countermeasures are required to be studied. This paper attempted to investigate RWH generation and identify the effects of RWH recycling in Shanghai. We used questionnaires combined with a field survey to investigate the competent authorities and leading recycling enterprises to analyze the characteristics of RWH generation. We conducted a monthly survey of 52 leading recycling enterprises in 11 typical districts for 2020. We also identified the main influencing factors of RWH generation using a multiple linear regression model. In addition, we popularized the model to estimate Shanghai’s RWH generation rate. Results show that data from leading recycling enterprises surveys were more accurate and reached a maximum of 82,104.77 kg/cap/month in November 2020. Higher RWH generation was found in suburban districts at 36,396.20 kg/cap/month. Shanghai’s RWH generation rate was 6253.60 t/d through model calculation. The educational level of household managers, regional economic condition, resident population, and disposable income impact RWH generation. Based on the abovementioned results, the implications for RWH management were discussed. We propose to promote the combination of theoretical simulation and information data platform construction. Meanwhile, it is also necessary to improve the capacity of the collection and transport system and accelerate the construction of pre-treatment bases in Shanghai.

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“…The generation of solid waste has increased dramatically in the world, owing largely to the rapid development and expansion of the economy. The management of solid waste is critical and becoming a challenge for some countries in the world (Wang M. X. et al 2020) (Obiora et al 2021). Based on the case study of solid waste, this study aims to: 1) examine the defects of the three typical methods used for distinguishing the SBs; 2) discover the candidate PRs and 3) explore the potential mechanism between the SBs and PRs.…”

Section: Introductionmentioning

confidence: 99%

Sleeping Beauties and their Princes in Solid Waste Research

Tang¹

2021

Preprint

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A “sleeping beauty” (SB) is a paper that goes unnoticed for a long time, and then, almost suddenly, is awakened by a “prince” (PR), attracting from there on a lot of attention in terms of citations. Although there are some studies on the SB and PR phenomena in science, little research on the awakening mechanisms between them has been conducted. Based on a comprehensive dataset with more than 10000 papers published in solid waste research from 1956 to 2010, we compared three typical methods of identifying SBs, and the parameter-free criterion worked better than the average-based and quartile-based criterion in some aspects. Besides, through a case study of the top 10 in SBs, we applied three criteria to discover the candidate PRs with high citation, high co-citation, and publication time close to the awakening time. Moreover, we discussed the mechanisms involved in the SBs and PRs, which were divided into three types: the synergistic effect, leading effect, and hysteresis effect. This work develops and validates a bibliometric framework for identifying the SBs and PRs in solid waste research, to figure out the awakening mechanisms, and promote potentially valuable research in other fields.

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Energy conservation and carbon reduction potential for solid waste in China

Cited by 17 publications

References 25 publications

Quantifying the Carbon Reduction Potential of Recycling Construction Waste Based on Life Cycle Assessment: A Case of Jiangsu Province

Quantifying the Carbon Reduction Potential of Recycling Construction Waste Based on Life Cycle Assessment: A Case of Jiangsu Province

The Generation and Effects for Recyclable Waste from Households in a Megapolis: A Case Study in Shanghai

Sleeping Beauties and their Princes in Solid Waste Research

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