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首页> 外文期刊>Environmental Science & Technology >Input-Dependent life-Cycle Inventory Model of Industrial Wastewater-Treatment Processes in the Chemical Sector
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Input-Dependent life-Cycle Inventory Model of Industrial Wastewater-Treatment Processes in the Chemical Sector

机译：化工行业工业废水处理过程的输入依赖生命周期清单模型

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摘要

Industrial wastewater-treatment systems need to ensure a high level of protection for the environment as a whole. Life-cycle assessment (LCA) comprehensively evaluates the environmental impacts of complex treatment systems, taking into account impacts from auxiliaries and energy consumption as well as emissions. However, the application of LCA is limited by a scarcity of wastewater-specific life-cycle inventory (LCI) data. This study presents a modular gate-to-gate inventory model for industrial wastewater purification in the chemical and related sectors. It enables the calculation of inventory parameters as a function of the wastewater composition and the technologies applied. Forthis purpose, data on energy and auxiliaries' consumption, wastewater composition, and process parameters was collected from chemical industry. On this basis, causal relationships between wastewater input, emissions, and technical inputs were identified. These causal relationships were translated into a generic inventory model. Generic and site-specific data ranges for LCI parameters are provided for the following processes: mechanical-biological treatment, high-pressure wet-air oxidation, nanofiltration, and extraction. The input-and technology-dependent process inventories help to bridge data gaps where primary data are not available. Thus, they substantially help to perform an environmental assessment of industrial wastewater purification in the chemical and associated industries, which may be used, for instance, for technology choices.
机译：工业废水处理系统需要确保对整个环境的高度保护。生命周期评估（LCA）全面评估复杂处理系统对环境的影响，同时考虑到助剂，能源消耗以及排放的影响。但是，LCA的应用受到废水特定生命周期清单（LCI）数据缺乏的限制。这项研究提出了一种用于化工及相关行业中工业废水净化的模块化门到门库存模型。它可以根据废水成分和所应用的技术来计算清单参数。为此，从化工行业收集了有关能源和辅助剂消耗，废水成分和工艺参数的数据。在此基础上，确定了废水投入，排放和技术投入之间的因果关系。这些因果关系被转换为通用库存模型。针对以下过程提供了LCI参数的通用和特定于位置的数据范围：机械生物处理，高压湿空气氧化，纳滤和萃取。依赖于输入和技术的过程清单有助于弥合无法获得主要数据的数据鸿沟。因此，它们实质上有助于对化学工业及相关工业中的工业废水净化进行环境评估，例如可用于技术选择。

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