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在综合评估和可计算一般均衡模型中实现资源回收以加强废水处理

Toward Enhancing Wastewater Treatment with Resource Recovery in Integrated Assessment and Computable General Equilibrium Models.

作者信息

Dunn Jennifer B, Greene Kristen, Vasquez-Arroyo Eveline, Awais Muhammad, Gomez-Sanabria Adriana, Kyle Page, Palatnik Ruslana R, Schaeffer Roberto, Zhou Pengxiao, Aissaoui Baya, De Cian Enrica

机构信息

Department of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois 60208, United States.

Center for Energy and Environmental Economics, Universidade Federal do Rio de Janeiro, Rio de Janeiro, 21941-853, Brazil.

出版信息

Environ Sci Technol Lett. 2024 Jun 18;11(7):654-663. doi: 10.1021/acs.estlett.4c00280. eCollection 2024 Jul 9.

Abstract

Sustainable water management is essential to increasing water availability and decreasing water pollution. The wastewater sector is expanding globally and beginning to incorporate technologies that recover nutrients from wastewater. Nutrient recovery increases energy consumption but may reduce the demand for nutrients from virgin sources. We estimate the increase in annual global energy consumption (1,100 million GJ) and greenhouse gas emissions (84 million t COe) for wastewater treatment in the year 2030 compared to today's levels to meet sustainable development goals. To capture these trends, integrated assessment and computable general equilibrium models that address the energy-water nexus must evolve. We reviewed 16 of these models to assess how well they capture wastewater treatment plant energy consumption and GHG emissions. Only three models include biogas production from the wastewater organic content. Four explicitly represent energy demand for wastewater treatment, and eight include explicit representation of wastewater treatment plant greenhouse gas emissions. Of those eight models, six models quantify methane emissions from treatment, five include representation of emissions of nitrous oxide, and two include representation of emissions of carbon dioxide. Our review concludes with proposals to improve these models to better capture the energy-water nexus associated with the evolving wastewater treatment sector.

摘要

可持续水资源管理对于增加水资源供应和减少水污染至关重要。全球范围内,废水处理行业正在不断扩张,并开始采用从废水中回收养分的技术。养分回收虽会增加能源消耗,但可能会减少对原生资源中养分的需求。我们估算了到2030年,相较于当前水平,为实现可持续发展目标,全球废水处理的年能源消耗增加量(11亿吉焦)和温室气体排放量(8400万吨二氧化碳当量)。为把握这些趋势,必须改进那些涉及能源-水关联的综合评估模型和可计算一般均衡模型。我们审查了其中16个模型,以评估它们对废水处理厂能源消耗和温室气体排放的捕捉能力。只有三个模型考虑了废水有机成分产生的沼气。四个模型明确表示了废水处理的能源需求,八个模型明确表示了废水处理厂的温室气体排放。在这八个模型中,六个模型对处理过程中的甲烷排放进行了量化,五个模型考虑了一氧化二氮排放的表示,两个模型考虑了二氧化碳排放的表示。我们的审查最后提出了改进这些模型的建议,以便更好地捕捉与不断发展的废水处理行业相关的能源-水关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d19f/11238576/6c1b69f6159e/ez4c00280_0001.jpg

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