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Article

Evaluation of the Environmental Impact and Energy Utilization Efficiency of Wastewater Treatment Plants in Tumen River Basin Based on a Life Cycle Assessment + Data Envelopment Analysis Model

1
College of Geography and Ocean Science, Yanbian University, Yanji 133002, China
2
State Grid Corporation of China, Yanji 133002, China
*
Authors to whom correspondence should be addressed.
Sustainability 2024, 16(4), 1690; https://doi.org/10.3390/su16041690
Submission received: 29 November 2023 / Revised: 2 February 2024 / Accepted: 6 February 2024 / Published: 19 February 2024

Abstract

The environmental impacts from energy consumption account for a high percentage of the environmental impacts of wastewater treatment plants (WWTPs) throughout their life cycle; therefore, controlling energy use in WWTPs could bring substantial benefits to the environment. In this study, according to the different percentages of electricity generation from renewable energy compared to fossil energy, the global warming, acidification, eutrophication, human toxicity, and photochemical smog, the environmental impacts of WWTP operation were considered. Furthermore, to explore a more sustainable way of operating WWTPs under the “dual-carbon” strategic decision, the environmental impacts and energy utilization efficiency of different power allocation scenarios at present and in the next 40 years were compared based on the LCA+DEA integrated model. The study revealed that in scenarios 1–5, as the proportion of renewable energy power generation gradually increased, all LCA results showed a gradual decrease, of which GWP decreased by 83.32% and human toxicity decreased by 93.34%. However, in scenarios 2–5, the contribution ratio (proportion) of gas and electricity to GWP and POCP gradually increased, reaching 77.11% and 59.44%, respectively, in scenario 5. The contribution ratio (proportion) of biomass generation to AP and EP gradually increased as well, reaching 65.22% and 68.75%, respectively, in scenario 5. Meanwhile, the combined technical efficiency in energy utilization in the five scenarios showed a decreasing trend; only scenario 1 was fully efficient, and the combined efficiency was 1. The values of combined technical efficiency in scenarios 2, 3, 4, and 5 gradually decreased and were 0.7386, 0.4771, 0.2967, and 0.1673, respectively. This study discusses whether the use of renewable energy in place of fossil energy power elicits an environmental impact in WWTPs. We explore the feasibility of achieving energy savings and emission reductions in WWTPs within the Tumen River Basin, to provide a theoretical basis for their sustainable development.
Keywords: carbon neutrality; clean energy; life cycle assessment; data envelopment analysis; environmental impacts carbon neutrality; clean energy; life cycle assessment; data envelopment analysis; environmental impacts

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MDPI and ACS Style

Liu, J.; Sun, B.; Piao, W.; Jin, M. Evaluation of the Environmental Impact and Energy Utilization Efficiency of Wastewater Treatment Plants in Tumen River Basin Based on a Life Cycle Assessment + Data Envelopment Analysis Model. Sustainability 2024, 16, 1690. https://doi.org/10.3390/su16041690

AMA Style

Liu J, Sun B, Piao W, Jin M. Evaluation of the Environmental Impact and Energy Utilization Efficiency of Wastewater Treatment Plants in Tumen River Basin Based on a Life Cycle Assessment + Data Envelopment Analysis Model. Sustainability. 2024; 16(4):1690. https://doi.org/10.3390/su16041690

Chicago/Turabian Style

Liu, Jiaxin, Bo Sun, Wenhua Piao, and Mingji Jin. 2024. "Evaluation of the Environmental Impact and Energy Utilization Efficiency of Wastewater Treatment Plants in Tumen River Basin Based on a Life Cycle Assessment + Data Envelopment Analysis Model" Sustainability 16, no. 4: 1690. https://doi.org/10.3390/su16041690

APA Style

Liu, J., Sun, B., Piao, W., & Jin, M. (2024). Evaluation of the Environmental Impact and Energy Utilization Efficiency of Wastewater Treatment Plants in Tumen River Basin Based on a Life Cycle Assessment + Data Envelopment Analysis Model. Sustainability, 16(4), 1690. https://doi.org/10.3390/su16041690

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