Assessment of energy use and environmental impacts of wastewater treatment plants in the entire life cycle: A system meta-analysis

Li, Ye; Xu, Ye; Fu, Zhenghui; Li, Wei; Luo, Zheng; Li, Mengran

doi:10.1016/j.envres.2020.110458

Cited by 21 publications

(23 citation statements)

References 84 publications

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“…However, emission estimates were lower in studies reporting O and C/O/D than C/O stage by 5 and 2 kg CO 2 ‐eq m −3 for GWP and by 0.006 and 0.002 kg

{PO}_{4}^{3 -}

‐eq m −3 for EP. Moreover, a meta‐analysis study 6 ignored the effects of these boundaries in the analysis. Meanwhile, the construction phase contributes more than 5 % 7 and up to 50 % 53 to the overall environmental impact of non‐intensive technologies and large plants, respectively.…”

Section: Resultsmentioning

confidence: 99%

“…A previous study by Li et al. 6 has detailed explanations of these selection criteria. Furthermore, all statistical analyses were completed using the meta 19 or metaphor 20 packages in R software 21.…”

Section: Selection Of Relevant Articlesmentioning

confidence: 99%

“…Regarding EP, Egypt and South Africa had the lowest values compared to the overall mean and other countries. These disparities have been linked to population characteristics, living conditions, economic advancement [6], climate change (e.g., ambient temperature), statutory discharge standards, electricity rates, and geomorphological attributes (e.g., elevation, altitude). Including the industrial outlook [24], electricity mix [25], technology and scale, policy and governance issues, and incidents when incentives in the sector are absent or deceitful [26].…”

Section: Geographical Locationmentioning

confidence: 99%

“…It can be attributed to the electricity mix dependency on fossil fuels, e.g., coal, oil, and gas. Moreover, high energy use, especially fossil fuels, produces high emissions of hydrocarbons and NO 2 [6,25]. Hence, most observations that reported electricity generation and use had electricity mix from coal [28,44] or fossil fuel [29,32,45].…”

Section: Geographical Locationmentioning

confidence: 99%

“…It was also applied to appraise antimicrobial systems [8], the removal efficiency of organic pollutants [9], categorize chemicals in activated sludge [10], model fate and transport in surface water [11,12]. More precisely, meta-analysis has been employed to synthesize LCA studies [6,[11][12][13]. To the best of the authors' knowledge, only one study [6] attempted to use meta-analysis statistical methods to perform a quantitative analysis of the environmental profile of water treatment-related LCA studies.…”

Section: Introductionmentioning

confidence: 99%

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Estimating the Ecological Performance of Water and Wastewater Treatment in Africa: A Meta‐Analysis

et al. 2023

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This article is the result of a systematic review of published life cycle assessment (LCA) studies on water and wastewater treatment in Africa. After applying the search and selection criteria, 32 observations for energy use were included and 20 for the global warming potential (GWP) and the eutrophication potential (EP). The dependent variables were categorized by technical, method, and typology factors. The meta‐regression model aligned with the descriptive statistics on the variation of the dependent variables due to water source but not location. Regarding energy use, GWP, and EP, the water source and the study location had the most significant influence in contrast to the life cycle impact assessment method. There is a need for more such LCA studies in Central and Western parts of Africa.

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“…However, emission estimates were lower in studies reporting O and C/O/D than C/O stage by 5 and 2 kg CO 2 ‐eq m −3 for GWP and by 0.006 and 0.002 kg