Metamodeling life cycle assessment to explore interactions in the water-energy nexus of desalination processes

IF 8 Q1 ENERGY & FUELS
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Abstract

The relationships within the Energy-Water nexus are inherently complex, necessitating sophisticated methods to optimize and manage these interactions effectively. Metamodeling emerges as a crucial technique in abstracting these complex relationships into a manageable analytical form. This study adopts a systematic approach to construct Life Cycle Assessment (LCA) metamodels, aimed at examining the interactions within the water-energy nexus of various desalination technologies. A critical aspect of the developed methodology is the selection of sampling points that align with LCA scenarios through a tailored designed experiment (DoE) model. These scenarios, which include Reverse Osmosis (RO), Electrodialysis (ED), and Multi-Effect Distillation (MED), are evaluated using a set of indicators the Energy-Water nexus, across tradeoff nexus policies. The results signify the impact of considering the Energy-Water Nexus on optimizing desalination processes, compared to evaluating energy and water metrics independently. In policies where nexus considerations were not integrated—focusing solely on cumulative energy or exclusively on water footprint—the RO with Wind Turbine (RO[WT]) scenario emerged as the optimal solution. This configuration consumed 7.540 MJ and 1.654 m³ of water and a carbon footprint of 0.719 kg CO2eq per cubic meter of desalinated water. Conversely, policies that incorporate a nexus approach favor the adoption of MED with Thermal Solar (MED[TS]) scenario. Characterized by its moderate energy consumption of 2.226 MJ, and a water footprint of 2.226 m³, per cubic meter. These findings illustrate the critical role of employing Energy-Water Nexus frameworks through metamodeling in minimizing the environmental impacts associated with desalination processes.

元模型生命周期评估,探索海水淡化过程中水与能源之间的相互作用
能源与水之间的关系本身就很复杂,因此需要复杂的方法来优化和有效管理这些互动关系。元模型是将这些复杂关系抽象为可管理的分析形式的关键技术。本研究采用系统方法构建生命周期评估(LCA)元模型,旨在研究各种海水淡化技术在水与能源关系中的相互作用。所开发方法的一个关键方面是通过量身定制的设计实验(DoE)模型,选择与生命周期评估方案相一致的采样点。这些方案包括反渗透 (RO)、电渗析 (ED) 和多效蒸馏 (MED),使用一套能源-水关系指标和权衡关系政策对其进行评估。结果表明,与单独评估能源和水指标相比,考虑能源-水关系对优化海水淡化工艺的影响更大。在未综合考虑能源与水关系的政策中--仅关注累积能源或仅关注水足迹--带风力涡轮机的反渗透(RO[WT])方案成为最佳解决方案。这种配置消耗 7.540 兆焦耳和 1.654 立方米水,每立方米淡化水的碳足迹为 0.719 千克二氧化碳当量。相反,采用关联方法的政策有利于采用热太阳能 MED(MED[TS])方案。其特点是能耗适中,为 2.226 兆焦耳,每立方米水足迹为 2.226 立方米。这些研究结果表明,通过元建模采用能源-水关联框架在最大限度地减少与海水淡化工艺相关的环境影响方面发挥着至关重要的作用。
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来源期刊
Energy nexus
Energy nexus Energy (General), Ecological Modelling, Renewable Energy, Sustainability and the Environment, Water Science and Technology, Agricultural and Biological Sciences (General)
CiteScore
7.70
自引率
0.00%
发文量
0
审稿时长
109 days
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