Pub Date : 2024-11-20DOI: 10.1016/j.jclepro.2024.144264
Shali Wang, Tu Feng, Shuangshuang Fan, Tomas Balezentis
In response to escalating global climate change, governments and international organizations were engaged in identifying effective strategies to mitigate carbon emissions. Residential photovoltaic systems emerged as a prominent, clean energy solution, drawing attention for their carbon-neutral electricity generation. Despite this, concerns persisted over whether technological advancements and policy incentives could sustain efforts to conserve energy and reduce emissions, particularly in light of the Jevons Paradox, which posits that technological progress might increase energy consumption and counteract emission reductions. This study, grounded in self-identity theory, examined the influence of residential PV installation on household electricity conservation behavior and assessed the paradox's relevance in this context. Through a survey across three representative Chinese provinces, collecting 996 responses, the research utilized Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the data. Findings revealed that PV installation and usage among residents bolstered self-consistency, social identity, and identity affirmation, indirectly encouraging electricity conservation. Economic incentives and environmental campaigns were both shown to increase residential PV adoption and subsequent electricity-saving actions. However, economic incentives were found to be more effective, suggesting that economic benefits primarily influenced residents' energy consumption behaviors. Interestingly, a lower inclination for electricity conservation among higher-income residents hinted at the Jevons paradox (or a rebound effect). The study's findings underscore the importance of crafting energy and environmental policies that balance economic incentives with long-term environmental awareness strategies. It also suggests that reinforcing residents' identities as environmental advocates could enhance engagement in green energy practices, offering valuable insights for China and other nations striving to promote residential PV systems and meet emission reduction goals.
{"title":"Traversing the Jevons Paradox: A Study on the Dual Role of Residential Photovoltaic Systems in Electricity Conservation and Increased Consumption in an Emerging Economy","authors":"Shali Wang, Tu Feng, Shuangshuang Fan, Tomas Balezentis","doi":"10.1016/j.jclepro.2024.144264","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144264","url":null,"abstract":"In response to escalating global climate change, governments and international organizations were engaged in identifying effective strategies to mitigate carbon emissions. Residential photovoltaic systems emerged as a prominent, clean energy solution, drawing attention for their carbon-neutral electricity generation. Despite this, concerns persisted over whether technological advancements and policy incentives could sustain efforts to conserve energy and reduce emissions, particularly in light of the Jevons Paradox, which posits that technological progress might increase energy consumption and counteract emission reductions. This study, grounded in self-identity theory, examined the influence of residential PV installation on household electricity conservation behavior and assessed the paradox's relevance in this context. Through a survey across three representative Chinese provinces, collecting 996 responses, the research utilized Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the data. Findings revealed that PV installation and usage among residents bolstered self-consistency, social identity, and identity affirmation, indirectly encouraging electricity conservation. Economic incentives and environmental campaigns were both shown to increase residential PV adoption and subsequent electricity-saving actions. However, economic incentives were found to be more effective, suggesting that economic benefits primarily influenced residents' energy consumption behaviors. Interestingly, a lower inclination for electricity conservation among higher-income residents hinted at the Jevons paradox (or a rebound effect). The study's findings underscore the importance of crafting energy and environmental policies that balance economic incentives with long-term environmental awareness strategies. It also suggests that reinforcing residents' identities as environmental advocates could enhance engagement in green energy practices, offering valuable insights for China and other nations striving to promote residential PV systems and meet emission reduction goals.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"14 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142673413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Despite the ongoing discussions of strategies to attain the United Nations’ Sustainable Development Goals, discourse on the role of digital transformation in bolstering environmental sustainability remains sparse. This study delves into the role of digital transformation in enhancing the environmental sustainability of hotels and scrutinizes the role of sustainable business model innovation in mediating the relationship between digital transformation and environmental sustainability. Data were gathered from managers of star-rated hotels using a survey questionnaire in three waves. The data was analyzed through the application of structural equation modeling. The findings of the study reveal a positive relationship between digital transformation and environmental sustainability and that this relationship is mediated by sustainable business model innovation and moderated by the hotel star category. The study highlights the strategic significance of digital transformation and sustainable business model innovation in achieving environmental sustainability. The study also provides implications for managers, scholars and policymakers.
{"title":"Digital Transformation and Environmental Sustainability in the Hospitality Industry: A Three-wave time-lagged examination","authors":"Henok Bekele, Sahil Raj, Amanpreet Singh, Mahesh Joshi, Tanveer Kajla","doi":"10.1016/j.jclepro.2024.144263","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144263","url":null,"abstract":"Despite the ongoing discussions of strategies to attain the United Nations’ Sustainable Development Goals, discourse on the role of digital transformation in bolstering environmental sustainability remains sparse. This study delves into the role of digital transformation in enhancing the environmental sustainability of hotels and scrutinizes the role of sustainable business model innovation in mediating the relationship between digital transformation and environmental sustainability. Data were gathered from managers of star-rated hotels using a survey questionnaire in three waves. The data was analyzed through the application of structural equation modeling. The findings of the study reveal a positive relationship between digital transformation and environmental sustainability and that this relationship is mediated by sustainable business model innovation and moderated by the hotel star category. The study highlights the strategic significance of digital transformation and sustainable business model innovation in achieving environmental sustainability. The study also provides implications for managers, scholars and policymakers.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"73 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-19DOI: 10.1016/j.jclepro.2024.144230
Anže Zupanc, Črtomir Podlipnik, Romana Cerc Korošec, Marjan Jereb
An environmentally friendly, operationally simple and convenient, scalable, temperature- and solvent-directed oxidation of hydrophobic sulfides that yields sulfoxides and sulfones is presented. The conversion proceeds rapidly in a variety of green solvents, e.g., methanol, water, acetone, and acetic acid using tert-butyl hypochlorite (t-BuOCl), an easy-to-prepare and inexpensive oxidant with numerous applications in green chemistry and industry. Oxidation proceeds efficiently for challenging and purely soluble perfluoroalkyl, heterocyclic, or polyaryl systems with multiple strongly electron-withdrawing groups, e.g. nitro, acyl, and chloro, and selectively for electron-rich systems with benzylic and enolizable competing reaction sites or multiple sulfur atoms. Various industrially important products such as pesticides, anti-HIV agents, polymer monomers and additives can be generally isolated in pure form by simply removing the reaction solvent and benign volatiles. The mechanism was explored by NMR experiments and DFT calculations. Selective oxidation of polyphenylene sulfide allowed us to synthesize more durable polymer powders and to modify the surface of the film. The depth of the oxidized layer was tuned by duration of exposure to the oxidant. The developed clean, rapid, preparative, and scalable transformation of sulfides generally without required purification can likely be extended to other similar substrates and might be of interest for synthetic and sustainability-oriented chemical processes.
{"title":"Expedient, metal-, extraction- and generally purification-free, temperature- and solvent-directed oxidation of diaryl sulfides using t-BuOCl","authors":"Anže Zupanc, Črtomir Podlipnik, Romana Cerc Korošec, Marjan Jereb","doi":"10.1016/j.jclepro.2024.144230","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144230","url":null,"abstract":"An environmentally friendly, operationally simple and convenient, scalable, temperature- and solvent-directed oxidation of hydrophobic sulfides that yields sulfoxides and sulfones is presented. The conversion proceeds rapidly in a variety of green solvents, <em>e.g</em>., methanol, water, acetone, and acetic acid using <em>tert</em>-butyl hypochlorite (<em>t</em>-BuOCl), an easy-to-prepare and inexpensive oxidant with numerous applications in green chemistry and industry. Oxidation proceeds efficiently for challenging and purely soluble perfluoroalkyl, heterocyclic, or polyaryl systems with multiple strongly electron-withdrawing groups, <em>e.g</em>. nitro, acyl, and chloro, and selectively for electron-rich systems with benzylic and enolizable competing reaction sites or multiple sulfur atoms. Various industrially important products such as pesticides, anti-HIV agents, polymer monomers and additives can be generally isolated in pure form by simply removing the reaction solvent and benign volatiles. The mechanism was explored by NMR experiments and DFT calculations. Selective oxidation of polyphenylene sulfide allowed us to synthesize more durable polymer powders and to modify the surface of the film. The depth of the oxidized layer was tuned by duration of exposure to the oxidant. The developed clean, rapid, preparative, and scalable transformation of sulfides generally without required purification can likely be extended to other similar substrates and might be of interest for synthetic and sustainability-oriented chemical processes.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"63 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142670836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-19DOI: 10.1016/j.jclepro.2024.144213
Kirim Yagmur, Okechukwu Okorie
The UK government has embarked on a comprehensive revaluation of its investment in Nuclear Power (NP) in response to a confluence of factors, including rising oil and gas prices, the shift towards independent energy extraction, and mounting concerns about climate change. Central to this revaluation is the Hinkley Point C (HPC) Project, a new nuclear power station, which aligns with the UK's decarbonisation and NetZero ambition but requires improvements highlighted by the Électricité de France’s (EDF) life cycle analysis, particularly in its Eutrophication Potential (EP). Eutrophication, a form of environmental damage stemming from excessive organism activity due to elevated nutrient loading remains is a key concern. Eutrophication is particularly relevant to nuclear power due to the nutrient emissions associated with uranium mining and milling processes. These processes contribute significantly to eutrophication, accounting for 58% of the EP per kilowatt-hour delivered. This study undertakes the development of a Hybrid Process Improvement Framework (HPIF) aimed at mitigating EP associated with Uranium Extraction in Nuclear Power Plants and identifies diesel combustion in support of in-situ leaching (<span>ISL</span>) techniques for Uranium Extraction as the predominant contributor to EP impact. Consequently, the research underscores the necessity for a novel HPIF design aimed at reducing diesel combustion and, by extension, the overall EP value. The HPIF developed in the study serves as a blueprint for other industries. By promoting sustainable practices, the research supports a broader move towards resource-efficient and low-impact industrial processes, crucial for the UK's overall Net Zero strategy. Further, the study adopts the DMADV methodology for the design of the HPIF process, thus ensuring a well-structured and data-driven approach in managing the HPIF configuration process. For validation, we employ semi-structured open-ended qualitative interviews with a unique set of subject experts (n = 21) comprising nuclear industry practitioners, academic researchers, and policymakers. NVivo was used for coding and analysing the data. Insights from the analysed data from 21 subject experts indicate that the HPIF is a novel tool that can address the larger objective of responding to critical environmental concerns within the nuclear power industry. We conclude that the HPIF can mitigate EP reduction challenges associated with uranium extraction for Nuclear Power Plants. The HPIF integrates and synthesises the methodologies of three established studies focused on reducing diesel fuel consumption in diesel generators. It systematically addresses key parameters, including load profiles, optimal generator type, number of generators, and scheduling strategies, tailored to specific load demands. By employing the advanced calculations derived from these three studies, HPIF effectively targets the fundamental issue contributing to Ep value—namely, the diese
英国政府已开始全面重新评估其在核电（NP）领域的投资，以应对包括石油和天然气价格上涨、向独立能源开采转变以及对气候变化日益增长的担忧在内的各种因素。此次重新评估的核心是欣克利角 C（HPC）项目，这是一个新的核电站，符合英国的去碳化和净零目标，但需要改进法国电力公司（EDF）的生命周期分析所强调的问题，特别是其富营养化潜能值（EP）。富营养化是一种环境破坏形式，源于养分负荷过高导致的生物活动过度，这仍然是一个关键问题。由于铀矿开采和研磨过程中会排放营养物质，因此富营养化与核电尤为相关。这些过程对富营养化的影响非常大，占每千瓦时输出电能的 EP 的 58%。本研究开发了一个混合工艺改进框架 (HPIF)，旨在减轻与核电厂铀提取相关的环境影响，并确定柴油燃烧以支持铀提取的原地浸出 (ISL) 技术是造成环境影响的主要因素。因此，该研究强调了新型 HPIF 设计的必要性，旨在减少柴油燃烧，进而降低整体 EP 值。研究中开发的 HPIF 可作为其他行业的蓝图。通过推广可持续实践，该研究支持了向资源节约型和低影响型工业流程的更广泛转变，这对英国的总体净零战略至关重要。此外，本研究采用 DMADV 方法设计 HPIF 流程，从而确保在管理 HPIF 配置流程时采用结构合理、数据驱动的方法。为了进行验证，我们采用了半结构化开放式定性访谈的方法，访谈对象包括核工业从业人员、学术研究人员和政策制定者在内的一组独特的主题专家（n = 21）。我们使用 NVivo 对数据进行编码和分析。从 21 位主题专家的分析数据中得出的见解表明，HPIF 是一种新颖的工具，能够实现应对核电行业关键环境问题的更大目标。我们的结论是，HPIF 可以减轻与核电站铀提取相关的 EP 减排挑战。HPIF 整合并综合了三项以降低柴油发电机柴油消耗为重点的成熟研究方法。它系统地解决了关键参数问题，包括负荷曲线、最佳发电机类型、发电机数量和调度策略，以满足特定的负荷需求。通过采用从这三项研究中得出的先进计算方法，HPIF 有效地解决了影响 Ep 值的根本问题，即柴油发电机的柴油燃烧问题。该框架专门解决了降低与柴油燃料使用相关的 EP 值这一难题。
{"title":"Hybrid Process Improvement Framework to Reduce the Eutrophication Potential of In-Situ Leaching for Uranium Extraction: A Qualitative Study.","authors":"Kirim Yagmur, Okechukwu Okorie","doi":"10.1016/j.jclepro.2024.144213","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144213","url":null,"abstract":"The UK government has embarked on a comprehensive revaluation of its investment in Nuclear Power (NP) in response to a confluence of factors, including rising oil and gas prices, the shift towards independent energy extraction, and mounting concerns about climate change. Central to this revaluation is the Hinkley Point C (HPC) Project, a new nuclear power station, which aligns with the UK's decarbonisation and NetZero ambition but requires improvements highlighted by the Électricité de France’s (EDF) life cycle analysis, particularly in its Eutrophication Potential (EP). Eutrophication, a form of environmental damage stemming from excessive organism activity due to elevated nutrient loading remains is a key concern. Eutrophication is particularly relevant to nuclear power due to the nutrient emissions associated with uranium mining and milling processes. These processes contribute significantly to eutrophication, accounting for 58% of the EP per kilowatt-hour delivered. This study undertakes the development of a Hybrid Process Improvement Framework (HPIF) aimed at mitigating EP associated with Uranium Extraction in Nuclear Power Plants and identifies diesel combustion in support of in-situ leaching (<span>ISL</span>) techniques for Uranium Extraction as the predominant contributor to EP impact. Consequently, the research underscores the necessity for a novel HPIF design aimed at reducing diesel combustion and, by extension, the overall EP value. The HPIF developed in the study serves as a blueprint for other industries. By promoting sustainable practices, the research supports a broader move towards resource-efficient and low-impact industrial processes, crucial for the UK's overall Net Zero strategy. Further, the study adopts the DMADV methodology for the design of the HPIF process, thus ensuring a well-structured and data-driven approach in managing the HPIF configuration process. For validation, we employ semi-structured open-ended qualitative interviews with a unique set of subject experts (n = 21) comprising nuclear industry practitioners, academic researchers, and policymakers. NVivo was used for coding and analysing the data. Insights from the analysed data from 21 subject experts indicate that the HPIF is a novel tool that can address the larger objective of responding to critical environmental concerns within the nuclear power industry. We conclude that the HPIF can mitigate EP reduction challenges associated with uranium extraction for Nuclear Power Plants. The HPIF integrates and synthesises the methodologies of three established studies focused on reducing diesel fuel consumption in diesel generators. It systematically addresses key parameters, including load profiles, optimal generator type, number of generators, and scheduling strategies, tailored to specific load demands. By employing the advanced calculations derived from these three studies, HPIF effectively targets the fundamental issue contributing to Ep value—namely, the diese","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"36 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142670839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Desert areas pose challenges for building construction due to extreme temperatures, low humidity, and water scarcity. These factors contribute to the rapid drying of self-bonding materials, leading to poor stability of materials. This study aims to address these issues through a novel approach involving the collaborative utilization of natural aeolian sand (NAS) and secondary aluminum dross (SAD) for the synthesis of self-bonding materials. By utilizing CaO as an alkali activator, NAS, and SAD are subjected to mechanical grinding, leading to the successful production of self-bonding materials for the first time. The results indicated that when the ball grinding rotational speed was 550 rpm, the mass ratio of NAS to SAD was 1:1, and 5% calcium oxide was added, a 360-day compressive strength of 8.57 MPa was achieved for self-bonding materials. Under the synergistic action of mechanical collisions and high temperature, the mineral lattice of SAD was defected, and amorphous substances was appeared, the majority of the Si-O chemical bonds and Al-N bonds were broken by alkaline attack, forming a more stable structure (Si-O-Al). This approach enables the full-volume materialization of hazardous and bulk solid wastes while opening up new possibilities for municipal building materials in desert areas. Furthermore, the proposed method provides an economically viable and environmentally friendly solution for the treatment of 1.3 million km2 of desert and two million tons of SAD in China.
沙漠地区由于温度极端、湿度低和缺水，给建筑施工带来了挑战。这些因素导致自粘合材料快速干燥，从而导致材料稳定性差。本研究旨在通过合作利用天然风化砂（NAS）和二次铝渣（SAD）合成自粘合材料的新方法来解决这些问题。利用 CaO 作为碱活化剂，对 NAS 和 SAD 进行机械研磨，首次成功生产出自粘合材料。结果表明，当球磨转速为 550 转/分，NAS 与 SAD 的质量比为 1:1，并添加 5%的氧化钙时，自粘合材料的 360 天抗压强度达到 8.57 兆帕。在机械碰撞和高温的协同作用下，SAD 的矿物晶格被破坏，出现了无定形物质，大部分 Si-O 化学键和 Al-N 键被碱性侵蚀破坏，形成了更稳定的结构（Si-O-Al）。这种方法实现了危险废物和大宗固体废物的全量物化，同时为沙漠地区的市政建筑材料提供了新的可能性。此外，所提出的方法还为中国 130 万平方公里沙漠和 200 万吨 SAD 的处理提供了经济可行且环保的解决方案。
{"title":"Eco-friendly preparation of self-bonding materials from natural aeolian sand and secondary aluminum dross for sustainable desert construction","authors":"Yiqie Dong, Jirong Lan, Meng Zang, Haijun Lu, Dong Zhang, Bo-Tao Huang","doi":"10.1016/j.jclepro.2024.144214","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144214","url":null,"abstract":"Desert areas pose challenges for building construction due to extreme temperatures, low humidity, and water scarcity. These factors contribute to the rapid drying of self-bonding materials, leading to poor stability of materials. This study aims to address these issues through a novel approach involving the collaborative utilization of natural aeolian sand (NAS) and secondary aluminum dross (SAD) for the synthesis of self-bonding materials. By utilizing CaO as an alkali activator, NAS, and SAD are subjected to mechanical grinding, leading to the successful production of self-bonding materials for the first time. The results indicated that when the ball grinding rotational speed was 550 rpm, the mass ratio of NAS to SAD was 1:1, and 5% calcium oxide was added, a 360-day compressive strength of 8.57 MPa was achieved for self-bonding materials. Under the synergistic action of mechanical collisions and high temperature, the mineral lattice of SAD was defected, and amorphous substances was appeared, the majority of the Si-O chemical bonds and Al-N bonds were broken by alkaline attack, forming a more stable structure (Si-O-Al). This approach enables the full-volume materialization of hazardous and bulk solid wastes while opening up new possibilities for municipal building materials in desert areas. Furthermore, the proposed method provides an economically viable and environmentally friendly solution for the treatment of 1.3 million km<sup>2</sup> of desert and two million tons of SAD in China.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"18 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142670881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-19DOI: 10.1016/j.jclepro.2024.144250
Yizhen Huang, Jingwei Chen, Yang Liu, Jiaqiang E
Finding alternative technologies to reduce carbon emissions of the steel industry has become a pressing concern. Supercritical water gasification (SCWG) combined with Hydrogen Production-Shaft furnace-Electric arc furnace (HSE) process offers a promising low-carbon alternative. The proposed route converts biomass to biosyngas through SCWG technology to produce direct reduced iron, followed by an electric arc furnace process to produce crude steel. In this study, the environmental impact of the SCWG-HSE process was evaluated using life cycle assessment (LCA). LCA was conducted using the Gabi V9.2 software, and the Ecoinvent 3.6 database within the program. It was found that the SCWG-HSE process has a 61 % lower global warming potential compared to the conventional BF-BOF process, and a 28 %-30 % reduction compared to the Coal gasification- HSE and Natural gas based- HSE processes. It is comparable to the renewable hydrogen-based HSE route. The cradle-to-gate global warming potential of the proposed system is estimated to be 803 kg CO2 eq./t crude steel. In the process, the hydrogen production and electric arc furnace segments are the main sources of global warming potential. Further analysis shows that an additional global warming potential reduction of about 38 % can be achieved by integrating Carbon Capture and Storage technologies, while optimization of the electricity supply structure is expected to achieve a global warming potential reduction of up to 63 %. This study is not limited to assessing global warming potential, but also covers other environmental impact indicators. The results show that the SCWG-HSE process has significant potential in terms of environmental performance.
{"title":"Life cycle assessment of a process integrating supercritical water gasification with direct reduced iron production","authors":"Yizhen Huang, Jingwei Chen, Yang Liu, Jiaqiang E","doi":"10.1016/j.jclepro.2024.144250","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144250","url":null,"abstract":"Finding alternative technologies to reduce carbon emissions of the steel industry has become a pressing concern. Supercritical water gasification (SCWG) combined with Hydrogen Production-Shaft furnace-Electric arc furnace (HSE) process offers a promising low-carbon alternative. The proposed route converts biomass to biosyngas through SCWG technology to produce direct reduced iron, followed by an electric arc furnace process to produce crude steel. In this study, the environmental impact of the SCWG-HSE process was evaluated using life cycle assessment (LCA). LCA was conducted using the Gabi V9.2 software, and the Ecoinvent 3.6 database within the program. It was found that the SCWG-HSE process has a 61 % lower global warming potential compared to the conventional BF-BOF process, and a 28 %-30 % reduction compared to the Coal gasification- HSE and Natural gas based- HSE processes. It is comparable to the renewable hydrogen-based HSE route. The cradle-to-gate global warming potential of the proposed system is estimated to be 803 kg CO<sub>2</sub> eq./t crude steel. In the process, the hydrogen production and electric arc furnace segments are the main sources of global warming potential. Further analysis shows that an additional global warming potential reduction of about 38 % can be achieved by integrating Carbon Capture and Storage technologies, while optimization of the electricity supply structure is expected to achieve a global warming potential reduction of up to 63 %. This study is not limited to assessing global warming potential, but also covers other environmental impact indicators. The results show that the SCWG-HSE process has significant potential in terms of environmental performance.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"177 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142673414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-19DOI: 10.1016/j.jclepro.2024.144251
Hongbo Liu, Yang Chen, Xuwei Pan, Junbo Zhang, Jianhong Huang, Eric Lichtfouse, Gang Zhou, Haiyu Ge
Water pollution is a major issue in the context of increasing population and industrialization, yet many drinking water treatment plants (DWTPs) are not fully efficient countering it. In particular, coagulation-settling stage often faces multiple disturbances and time lags, which lower the efficiency because coagulant dosage cannot be accurately calculated in real-time based on the effluent turbidity. To address this issue, we developed a method using deep learning image recognition to monitor the coagulation-settling stage in real-time. For that we used 5761 operational data and images of flocs from the sedimentation tank of a DWTP in East China in 2022, to build an image recognition regression model that predict the turbidity of the sedimentation tank effluent. Results show that our deep learning regression model, performs better with r-square (R2) of 0.97, mean absolute error (MAE) of 0.016 and mean absolute percentage error (MAPE) of 2.74%, compared with the traditional machine learning giving R2 of 0.76, MAE of 0.045 and MAPE of 8.26%. The model also avoids misclassification at different turbidity intervals. The incorporation operational data of the sedimentation tank, prediction accuracy is improved by 79.6%. By adjusting the turbidity data to correct time misalignment, our model effectively handles the time lag caused by the hydraulic retention time of the sedimentation tank, thus enhancing the timeliness and accuracy of its practical application.
{"title":"Image recognition enhances efficient monitoring of the coagulation-settling in drinking water treatment plants","authors":"Hongbo Liu, Yang Chen, Xuwei Pan, Junbo Zhang, Jianhong Huang, Eric Lichtfouse, Gang Zhou, Haiyu Ge","doi":"10.1016/j.jclepro.2024.144251","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144251","url":null,"abstract":"Water pollution is a major issue in the context of increasing population and industrialization, yet many drinking water treatment plants (DWTPs) are not fully efficient countering it. In particular, coagulation-settling stage often faces multiple disturbances and time lags, which lower the efficiency because coagulant dosage cannot be accurately calculated in real-time based on the effluent turbidity. To address this issue, we developed a method using deep learning image recognition to monitor the coagulation-settling stage in real-time. For that we used 5761 operational data and images of flocs from the sedimentation tank of a DWTP in East China in 2022, to build an image recognition regression model that predict the turbidity of the sedimentation tank effluent. Results show that our deep learning regression model, performs better with r-square (R<sup>2</sup>) of 0.97, mean absolute error (MAE) of 0.016 and mean absolute percentage error (MAPE) of 2.74%, compared with the traditional machine learning giving R<sup>2</sup> of 0.76, MAE of 0.045 and MAPE of 8.26%. The model also avoids misclassification at different turbidity intervals. The incorporation operational data of the sedimentation tank, prediction accuracy is improved by 79.6%. By adjusting the turbidity data to correct time misalignment, our model effectively handles the time lag caused by the hydraulic retention time of the sedimentation tank, thus enhancing the timeliness and accuracy of its practical application.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"1 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142670886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-19DOI: 10.1016/j.jclepro.2024.144243
Xiaolin Zhang, Yan Zhang, Dongdong Wu
Nitrogen is a key metabolic element in urban system. Existing studies lacked the segmentation of specific industrial activities, which made it difficult to serve the precise nitrogen management. In order to fill these gaps, this study constructed a 55-node nitrogen metabolism model, carried out a detailed process analysis of Beijing’s nitrogen metabolism and its interaction with external hinterlands, which fully reflected the perturbation of urban nitrogen flow by human activities. Results showed that Beijing’s external nitrogen input and environmental nitrogen output increased by 15.6% and 19.4% respectively. The pattern of nitrogen metabolism was obviously heterogeneous, with the number and volume of waste flow accounting for more than 30%, which indicated a serious situation of waste nitrogen emission. Foreign countries were Beijing's primary nitrogen supply and demand hinterland, accounting for more than 28% at both ends. The domestic supply hinterlands were concentrated in agricultural provinces of Hebei and Jiangsu, and the demand hinterlands were concentrated in Shanghai and Shandong, both accounting for more than 5%. Animal Husbandry was the key node of internal metabolism and internal/external interactions, contributing more than 10% to the total nitrogen budget and imports/exports. The model constructed in this study can build a universal framework and model for urban nitrogen analysis, and the identified key nodes can serve the Beijing Municipal Government in nitrogen management decision-making.
{"title":"Animal Husbandry is the key sector affecting nitrogen metabolism processes within and outside of Beijing with contribution more than 10%","authors":"Xiaolin Zhang, Yan Zhang, Dongdong Wu","doi":"10.1016/j.jclepro.2024.144243","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144243","url":null,"abstract":"Nitrogen is a key metabolic element in urban system. Existing studies lacked the segmentation of specific industrial activities, which made it difficult to serve the precise nitrogen management. In order to fill these gaps, this study constructed a 55-node nitrogen metabolism model, carried out a detailed process analysis of Beijing’s nitrogen metabolism and its interaction with external hinterlands, which fully reflected the perturbation of urban nitrogen flow by human activities. Results showed that Beijing’s external nitrogen input and environmental nitrogen output increased by 15.6% and 19.4% respectively. The pattern of nitrogen metabolism was obviously heterogeneous, with the number and volume of waste flow accounting for more than 30%, which indicated a serious situation of waste nitrogen emission. Foreign countries were Beijing's primary nitrogen supply and demand hinterland, accounting for more than 28% at both ends. The domestic supply hinterlands were concentrated in agricultural provinces of Hebei and Jiangsu, and the demand hinterlands were concentrated in Shanghai and Shandong, both accounting for more than 5%. Animal Husbandry was the key node of internal metabolism and internal/external interactions, contributing more than 10% to the total nitrogen budget and imports/exports. The model constructed in this study can build a universal framework and model for urban nitrogen analysis, and the identified key nodes can serve the Beijing Municipal Government in nitrogen management decision-making.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"87 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142670838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-19DOI: 10.1016/j.jclepro.2024.144260
Yuanxin Liu, Mingyue Zhao
As an important ecosystem of the planet, wetlands play a pivotal role in carbon storage. For alpine regions, safeguarding wetland carbon storage (WCS) has become an integral aspect of sustainable development. To explore the correlation between WCS and sustainable development, we predicted wetland patterns and WCS on the Qinghai-Tibet Plateau (QTP) for 2030 under four scenarios. Utilizing the spatial boundaries of protected areas (PAs), we evaluated current and future changes in the representation and effectiveness of WCS protection. Furthermore, a coupling coordination degree (CCD) model was used to identify the relationship between WCS protection and Sustainable Development Goals (SDGs). The results showed that lakes and reservoirs/ ponds were the largest and smallest wetland types on the QTP, respectively, and both displayed an increasing trend from 2000 to 2020, while other wetland types mostly exhibited an opposite trend. Scenario analysis revealed the largest increase in river area compared to 2020 under the comprehensive development scenario (CDS), reaching 6.88%. Across all scenarios, lakes would increase by approximately 6%, primarily due to distance to water and population density. The economic development scenario (EDS) experienced the greatest reduction in swamps. Under these four scenarios, compared to 2020, WCS hotspots displayed varying degrees of decline, with the ecological conservation scenario (ECS) experiencing the most significant reduction (4.2%) and the EDS experiencing the least reduction (0.14%). Only swamps and rivers conservation representation can be improved in 2030. For WCS outside PAs, the most significant enhancement was achieved under ECS for all wetlands except rivers. 6 classes of seriously, moderate, slight incoordination and barely, moderate, high coordination areas were detected based on the CCD analysis. Among the above zones, over 65% of prefecture-level municipalities on the QTP exhibited better than barely coordination levels in 2010, and by 2020, the figure had exceeded 69%. This study deepens understanding of the relationship between WCS and sustainable development in alpine plateaus, and provides decision-making support for coordinate regional development and wetland conservation.
{"title":"Coupling coordination between carbon storage protection in alpine wetlands and SDGs: A case study of the Qinghai-Tibet Plateau, China","authors":"Yuanxin Liu, Mingyue Zhao","doi":"10.1016/j.jclepro.2024.144260","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144260","url":null,"abstract":"As an important ecosystem of the planet, wetlands play a pivotal role in carbon storage. For alpine regions, safeguarding wetland carbon storage (WCS) has become an integral aspect of sustainable development. To explore the correlation between WCS and sustainable development, we predicted wetland patterns and WCS on the Qinghai-Tibet Plateau (QTP) for 2030 under four scenarios. Utilizing the spatial boundaries of protected areas (PAs), we evaluated current and future changes in the representation and effectiveness of WCS protection. Furthermore, a coupling coordination degree (CCD) model was used to identify the relationship between WCS protection and Sustainable Development Goals (SDGs). The results showed that lakes and reservoirs/ ponds were the largest and smallest wetland types on the QTP, respectively, and both displayed an increasing trend from 2000 to 2020, while other wetland types mostly exhibited an opposite trend. Scenario analysis revealed the largest increase in river area compared to 2020 under the comprehensive development scenario (CDS), reaching 6.88%. Across all scenarios, lakes would increase by approximately 6%, primarily due to distance to water and population density. The economic development scenario (EDS) experienced the greatest reduction in swamps. Under these four scenarios, compared to 2020, WCS hotspots displayed varying degrees of decline, with the ecological conservation scenario (ECS) experiencing the most significant reduction (4.2%) and the EDS experiencing the least reduction (0.14%). Only swamps and rivers conservation representation can be improved in 2030. For WCS outside PAs, the most significant enhancement was achieved under ECS for all wetlands except rivers. 6 classes of seriously, moderate, slight incoordination and barely, moderate, high coordination areas were detected based on the CCD analysis. Among the above zones, over 65% of prefecture-level municipalities on the QTP exhibited better than barely coordination levels in 2010, and by 2020, the figure had exceeded 69%. This study deepens understanding of the relationship between WCS and sustainable development in alpine plateaus, and provides decision-making support for coordinate regional development and wetland conservation.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"71 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142670837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-19DOI: 10.1016/j.jclepro.2024.144259
Jiawei Chen, Yang Zhou, Zhaoyi Yan, Qing Li
Moxibustion therapy is a popular treatment for various diseases in traditional Chinese medicine. It is known that the combustion byproduct of moxa ash from moxibustion therapy has various medicinal properties, however its application has been largely ignored. This paper developed a simple, green and effective process for finishing cotton with biomass waste of moxa ash. Bio performance of finished cotton and its value adding applications were explored. A comparison is made between moxa extracts and moxa ash, with functions such as anti-ultraviolet, antioxidant and antibacterial properties investigated. Results show that although compared with moxa extracts dyed cotton, moxa ash finished cotton lost certain strength in anti-ultraviolet and antioxidant activities due to decomposition of certain effective bio substances during combustion, it exhibited better performance than that of untreated cotton used as control, with UPF increased from 24 to 98 and ABTS·+ percentage radical scavenging from 8.5% to 13.7%. Results of antibacterial activity of moxa ash finished cotton is a highlight in this work. It is seen that while it is less effective in inhibiting fungus such as C. albicans, the moxa ash finished cotton is as effective (> 99% bacterial removal) as its moxa extracts counterpart in antibacterial activity against Gram-positive bacterial such as S. aureus and B. cereus, as well as in inhibiting certain type of Gram-negative bacterial strain such as E. coli. These outcomes have opened up a broad application of moxa ash as biomass waste in textile industry for medicare and healthcare use.
{"title":"Moxa combustion waste and its bio activities on cotton -- a facile and green finishing process towards a sustainable and value adding application for medical textile","authors":"Jiawei Chen, Yang Zhou, Zhaoyi Yan, Qing Li","doi":"10.1016/j.jclepro.2024.144259","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144259","url":null,"abstract":"Moxibustion therapy is a popular treatment for various diseases in traditional Chinese medicine. It is known that the combustion byproduct of moxa ash from moxibustion therapy has various medicinal properties, however its application has been largely ignored. This paper developed a simple, green and effective process for finishing cotton with biomass waste of moxa ash. Bio performance of finished cotton and its value adding applications were explored. A comparison is made between moxa extracts and moxa ash, with functions such as anti-ultraviolet, antioxidant and antibacterial properties investigated. Results show that although compared with moxa extracts dyed cotton, moxa ash finished cotton lost certain strength in anti-ultraviolet and antioxidant activities due to decomposition of certain effective bio substances during combustion, it exhibited better performance than that of untreated cotton used as control, with UPF increased from 24 to 98 and ABTS·<sup>+</sup> percentage radical scavenging from 8.5% to 13.7%. Results of antibacterial activity of moxa ash finished cotton is a highlight in this work. It is seen that while it is less effective in inhibiting fungus such as <em>C. albicans</em>, the moxa ash finished cotton is as effective (> 99% bacterial removal) as its moxa extracts counterpart in antibacterial activity against Gram-positive bacterial such as <em>S. aureus</em> and <em>B. cereus</em>, as well as in inhibiting certain type of Gram-negative bacterial strain such as <em>E. coli</em>. These outcomes have opened up a broad application of moxa ash as biomass waste in textile industry for medicare and healthcare use.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"2 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142670840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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