下流式悬挂海绵系统处理工业废水:技术经济分析、生命周期评价与可持续发展目标实现

IF 7.5 2区 工程技术 Q1 ENGINEERING, CHEMICAL Journal of Environmental Chemical Engineering Pub Date : 2025-04-01 Epub Date: 2025-02-27 DOI:10.1016/j.jece.2025.115944
Samuel Anang , Mona G. Ibrahim , Mahmoud Nasr
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引用次数: 0

摘要

虽然一些研究已经讨论了下行悬挂海绵(DHS)系统在工业废水处理(IWWT)方面的性能,但在探索相关的盈利情景、环境方面和可持续性标准方面仍存在研究空白。本研究阐述了基于dhs系统的IWWT的原理、优点和局限性,并对重金属、染料、新兴污染物和营养物质的去除机理进行了详细说明。技术经济分析显示,投资回收期为6.4年,净现值为819美元,污染物影子价格、碳信用额和沼气销售的内部收益率为8.9 %。生命周期评估(LCA)观察结果显示,在中点/终点层次水平上,对毒性、富营养化、酸化、人类健康和生态系统质量的影响最小。拟议的基于dhs的工厂可以实现可持续发展目标(SDG),主要是可持续发展目标#3,减少水传播疾病,可持续发展目标#6,提高水资源供应,可持续发展目标#13,最大限度地减少碳足迹问题,以及可持续发展目标#14,保护水生环境。本研究表明,技术财务分析和LCA工具可以与DHS的设计和优化策略相结合,为可持续废水处理的盈利能力和整体管理方法提供见解。由于水泵运行的能源利用成为影响整体LCA评分的关键因素,未来的研究应采用生物源供电,并应用人工智能技术优化设备运行模式,以减少预期的二氧化碳排放。进一步的研究还将考虑扩大库存数据规模,纳入额外的操作因素,并通过实验验证LCA的输出。
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Industrial wastewater treatment by downflow hanging sponge system: Techno-economic analysis, life cycle assessment, and sustainable development goals fulfillment
While several studies have discussed the performance of downflow hanging sponge (DHS) systems toward industrial wastewater treatment (IWWT), there is still a research gap in exploring the associated profitability scenarios, environmental aspects, and sustainability criteria. The current study elucidated the principles, advantages, and limitations of IWWT by the DHS-based system, giving detailed explanations on the removal mechanisms of heavy metals, dyes, emerging contaminants, and nutrients. The techno-economic analysis revealed profitability indicators of 6.4-year payback period, 819 USD net present value, and 8.9 % internal rate of return from pollutant shadow price, carbon credits, and biogas selling. The life cycle assessment (LCA) observations exhibited minimal impacts on toxicity, eutrophication, acidification, human health, and ecosystem quality at the midpoint/endpoint hierarchy levels. The proposed DHS-based plant could fulfil sustainable development goals (SDGs), primarily SDG#3 by reducing water-borne disease, SDG#6 by enhancing water availability, SDG#13 by minimizing the carbon footprint issue, and SDG#14 by conserving aquatic environment. This study depicted that the techno-financial analysis and LCA tools could be integrated with the design and optimization strategies of DHS, offering insights into profitability and holistic management approaches in sustainable wastewater treatment. Because energy utilization for pumps’ operation emerged as a critical factor influencing the overall LCA score, future investigations should employ biogenic sources for electricity supply and apply artificial intelligence techniques to optimize the equipment operation mode that could reduce the expected CO2 emissions. Further studies would also consider expanding the inventory data size, incorporating additional operating factors, and validating the LCA outputs experimentally.
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来源期刊
Journal of Environmental Chemical Engineering
Journal of Environmental Chemical Engineering Environmental Science-Pollution
CiteScore
11.40
自引率
6.50%
发文量
2017
审稿时长
27 days
期刊介绍: The Journal of Environmental Chemical Engineering (JECE) serves as a platform for the dissemination of original and innovative research focusing on the advancement of environmentally-friendly, sustainable technologies. JECE emphasizes the transition towards a carbon-neutral circular economy and a self-sufficient bio-based economy. Topics covered include soil, water, wastewater, and air decontamination; pollution monitoring, prevention, and control; advanced analytics, sensors, impact and risk assessment methodologies in environmental chemical engineering; resource recovery (water, nutrients, materials, energy); industrial ecology; valorization of waste streams; waste management (including e-waste); climate-water-energy-food nexus; novel materials for environmental, chemical, and energy applications; sustainability and environmental safety; water digitalization, water data science, and machine learning; process integration and intensification; recent developments in green chemistry for synthesis, catalysis, and energy; and original research on contaminants of emerging concern, persistent chemicals, and priority substances, including microplastics, nanoplastics, nanomaterials, micropollutants, antimicrobial resistance genes, and emerging pathogens (viruses, bacteria, parasites) of environmental significance.
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