Insights into Global Water Reuse Opportunities DOI Open Access
Vasileios A. Tzanakakis, Andrea G. Capodaglio, Andreas N. Angelakιs

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(17), P. 13007 - 13007

Published: Aug. 29, 2023

The growing population, intensified anthropogenic pressures and climate variability have increased the demands on available water resources, reuse has become a high priority, particularly in areas of world suffering from stress. main objectives this review paper are to consider identify potential opportunities challenges implementation schemes worldwide by considering analyzing different fields interest reuse, current future global drivers policies, existing advances treatment technologies promising elimination environmental footprint human health risk, an analysis trends potable non-potable development quality criteria issues related transition circular economy. Moreover, major knowledge gaps critical domains discussed. For study, thorough literature was conducted, using research articles, technical reports, specific national (and EU) proposals, guidance documents, legislative initiatives actions, as well any validly disseminated findings scientists around wider scientific area (alternative) supply, management, sustainable development, protection public health. Water practices expected increase future, mainly developed countries climate-vulnerable planet. Current wastewater can provide opportunity for foul exploitation alternative increasing systems worldwide, relying pollutant/contaminant elimination, improving economic energy performances. paradigmatic technological switches based improved understanding relationships between cycle Water–Energy–Food (WEF) Nexus will perspective schemes. benefits recovery nutrients through sewage also highlighted, arising reduced costs associated with their sheer removal supplement fertilizers WEF Nexus. On other hand, nutrient may promote agricultural or landscape practices, contributing less consumption reducing GHGs emissions. Regarding management use schemes, holistic approach (integrated management) is proposed, incorporating regulatory actions awareness, interconnection among actors/stakeholders, efficient control monitoring. establishment paramount preventing undesirable impacts humans environment. study considers “one water” concept, which means equal independent origin water, instead differentiates types facilitate reuse. Finally, it highlights need understand ecosystem services (ESs) consequences achieving goals (SDGs).

Language: Английский

Progress and challenges of contaminate removal from wastewater using microalgae biomass DOI
Shams Forruque Ahmed,

M. Mofijur,

Tahlil Ahmed Parisa

et al.

Chemosphere, Journal Year: 2021, Volume and Issue: 286, P. 131656 - 131656

Published: July 22, 2021

Language: Английский

Citations

249
Continuous cultivation of microalgae in photobioreactors as a source of renewable energy: Current status and future challenges DOI
Angela Paul Peter, Apurav Krishna Koyande, Kit Wayne Chew

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2021, Volume and Issue: 154, P. 111852 - 111852

Published: Nov. 17, 2021

Language: Английский

Citations

183
Wastewater fertigation in agriculture: Issues and opportunities for improved water management and circular economy DOI
Matia Mainardis, Daniele Cecconet, Alessandro Moretti

et al.

Environmental Pollution, Journal Year: 2021, Volume and Issue: 296, P. 118755 - 118755

Published: Dec. 28, 2021

Language: Английский

Citations

125
Comprehensive evaluation and sustainable development of water–energy–food–ecology systems in Central Asia DOI
Jingxiu Qin, Weili Duan, Yaning Chen

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2022, Volume and Issue: 157, P. 112061 - 112061

Published: Jan. 6, 2022

Language: Английский

Citations

114
Pathways to a net-zero-carbon water sector through energy-extracting wastewater technologies DOI Creative Commons
Aishwarya Rani, Seth W. Snyder, Hyunook Kim

et al.

npj Clean Water, Journal Year: 2022, Volume and Issue: 5(1)

Published: Sept. 26, 2022

Abstract The energy-consuming and carbon-intensive wastewater treatment plants could become significant energy producers recycled organic metallic material generators, thereby contributing to broad sustainable development goals, the circular economy, water-energy-sanitation-food-carbon nexus. This review provides an overview of waste(water)-based energy-extracting technologies, their engineering performance, techno-economic feasibility, environmental benefits. Here, we propose four crucial strategies achieve net-zero carbon along with sufficiency in water sector, including (1) improvement process efficiency; (2) maximizing on-site renewable capacities biogas upgrading; (3) harvesting from treated effluent; (4) a new paradigm for decentralized water-energy supply units.

Language: Английский

Citations

83
Nd2Sn2O7/Bi2Sn2O7/Ag3PO4 double Z-type heterojunction for antibiotic photodegradation under visible light irradiation: Mechanism, optimization and pathways DOI
Pengfei Zhu, Jinru Lin, Mei Liu

et al.

Separation and Purification Technology, Journal Year: 2022, Volume and Issue: 300, P. 121897 - 121897

Published: Aug. 8, 2022

Language: Английский

Citations

80
Transforming wastewater treatment plants into reclaimed water facilities in water-unbalanced regions. An overview of possibilities and recommendations focusing on the Italian case DOI Open Access
Alessia Foglia, J. González-Camejo, Serena Radini

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 410, P. 137264 - 137264

Published: April 25, 2023

Language: Английский

Citations

42
Explainable machine learning methods for predicting water treatment plant features under varying weather conditions DOI Creative Commons

Mohammed Al Saleem,

Fouzi Harrou, Ying Sun

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 21, P. 101930 - 101930

Published: March 1, 2024

Accurately predicting key features in WWTPs is essential for optimizing plant performance and minimizing operational costs. This study assesses the potential of various machine learning models inflow to anoxic sludge reactors. Firstly, it conducts a comprehensive evaluation diverse models, including k-Nearest Neighbors (kNN), Random Forest (RF), XGBoost, CatBoost, LightGBM, Decision Tree Regression (DTR), flow into Anoxic section under weather conditions (dry, rainy, stormy). Secondly, introduces parsimonious guided by variable importance from XGBoost algorithm. Furthermore, employs SHAP (SHapley Additive exPlanations) elucidate model predictions, providing insights contribution each feature. Data COST Benchmark Simulation Model (BSM1) used verify investigated models' effectiveness. Each dataset consists 14 days influent data at 15-minute intervals, with 80% training. Results show that ensemble methods, particularly CatBoost demonstrate satisfactory predictive results presence increased variability rainy stormy conditions. Notably, achieve average Mean Absolute Percentage Error values 1.33% 1.59%, outperforming other methods.

Language: Английский

Citations

23
Energy use and decarbonisation of the water sector: a comprehensive review of issues, approaches, and technological options DOI
Andrea G. Capodaglio

Environmental Technology Reviews, Journal Year: 2025, Volume and Issue: 14(1), P. 40 - 68

Published: Jan. 6, 2025

Water and wastewater infrastructure is a major energy consumer an important source of global greenhouse gas emissions: on average, 10.6 kg CO2/m3 water consumed. The European Environment Agency in 2019 estimated these emissions from treatment operations Europe alone at over 25 MtCO2eq. Increased demand (in terms volumes quality) the sector raises expectations future increases if appropriate measures will not be undertaken. Many companies utilities associations have been or are developing plans to achieve net zero industry-wide basis by 2050, some cut 50% last ten years. About half energy-related facilities could significantly abated applying existing technologies, close 95% this objective achieved negative cost with proper innovation strategies. This paper examines discusses issues, possibilities, technologies that considered planning reduction WW-related GHG holistic view entire sector, based recent literature review.

Language: Английский

Citations

3
Use, Potential, Needs, and Limits of AI in Wastewater Treatment Applications DOI Open Access
Andrea G. Capodaglio, Arianna Callegari

Water, Journal Year: 2025, Volume and Issue: 17(2), P. 170 - 170

Published: Jan. 10, 2025

Artificial intelligence (AI) uses highly powerful computers to mimic human intelligent behavior; it is a major research hotspot in science and technology, with an increasing number of applications wider range fields, including complex process supervision control. Wastewater treatment example involving many uncertainties external factors achieve final product specific requisites (effluents prescribed quality). Reducing energy consumption, greenhouse gas emissions, resources recovery are additional requirements these facilities’ operation. AI could extend the purpose expected results previously adopted tools present operational approaches by leveraging superior simulation, prediction, control, adaptation capabilities. This paper reviews current wastewater field discusses achievements potentials. So far, almost all sector involve predictive studies, often at small scale or limited data use. Frontline aimed creation AI-supported digital twins real systems being conducted, few encouraging but still applications. aims identifying discussing key barriers adoption field, which include laborious instrumentation maintenance, lack expertise design software, instability control loops, insufficient incentives for resource efficiency achievement.

Language: Английский

Citations

2