Optimizing the recovery pathway of a net-zero energy wastewater treatment model by balancing energy recovery and eco-efficiency

Liu, Runxi; Huang, Runyao; Shen, Ziheng; Wang, Hong Tao; Xu, Jin

doi:10.1016/j.apenergy.2021.117157

Cited by 27 publications

(8 citation statements)

References 59 publications

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“…Anaerobic digestion (AD) has been widely used to treat the increasing organic wastes because it can simultaneously achieve the valorization of organic waste matters and produce substantial renewable energy (e.g., methane), , being propitious to construct a “waste-free city” and attain the carbon-neutrality target. , It is known that AD is the biological behavior of converting organic substrates to methane mediated by many microbial cells under anaerobic habitats. Of note, among the AD microbiome community, acetotrophic methanogens are the main players capable of methane formation .…”

Section: Introductionmentioning

confidence: 99%

Physiological Responses of Methanosarcina barkeri under Ammonia Stress at the Molecular Level: The Unignorable Lipid Reprogramming

Liu

Zhang

Chen

et al. 2023

Environ. Sci. Technol.

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Acetotrophic methanogens' dysfunction in anaerobic digestion under ammonia pressure has been widely concerned. Lipids, the main cytomembrane structural biomolecules, normally play indispensable roles in guaranteeing cell functionality. However, no studies explored the effects of high ammonia on acetotrophic methanogens' lipids. Here, a high-throughput lipidomic interrogation deciphered lipid reprogramming in representative acetoclastic methanogen (Methanosarcina barkeri) upon high ammonia exposure. The results showed that high ammonia conspicuously reduced polyunsaturated lipids and longerchain lipids, while accumulating lipids with shorter chains and/or more saturation. Also, the correlation network analysis visualized some sphingolipids as the most active participant in lipid−lipid communications, implying that the ammonia-induced enrichment in these sphingolipids triggered other lipid changes. In addition, we discovered the decreased integrity, elevated permeability, depolarization, and diminished fluidity of lipid-supported membranes under ammonia restraint, verifying the noxious ramifications of lipid abnormalities. Additional analysis revealed that high ammonia destabilized the structure of extracellular polymeric substances (EPSs) capable of protecting lipids, e.g., declining α-helix/(β-sheet + random coil) and 3-turn helix ratios. Furthermore, the abiotic impairment of critical EPS bonds, including C−OH, C�O−NH−, and S−S, and the biotic downregulation of functional proteins involved in transcription, translation, and EPS building blocks' supply were unraveled under ammonia stress and implied as the crucial mechanisms for EPS reshaping.

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Section: Introductionmentioning

confidence: 99%

Physiological Responses of Methanosarcina barkeri under Ammonia Stress at the Molecular Level: The Unignorable Lipid Reprogramming

Liu

Zhang

Chen

et al. 2023

Environ. Sci. Technol.

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“…Similar results were obtained in previous research that utilized the same type of time series data. 24 This similarity arises from the fact that the temporal data set comprised observations from the same WWTP but on different dates. While WT showed a correlation with EC, it remained relatively stable, fluctuating only slightly around its designed capacity.…”

Section: Feature Selection Of Influent Quantity and Qualitymentioning

confidence: 99%

“…The characteristics of the spatial and temporal data differ significantly. Spatial data often comprises observations with a broad geographical scope but lower accuracy, , while temporal data boasts higher accuracy but may lack regional representativeness. , Spatial observations can shed light on regional properties and technical processes, while temporal data can supply insights into seasonal disparities. As such, integrating spatial and temporal patterns becomes crucial for comprehensive modeling on EC and WWT …”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Modeling on Energy Consumption of Wastewater Treatment Based on Machine Learning Algorithms

Huang,

Yu,

Wang

et al. 2023

ACS EST Water

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To explore the water-energy-carbon nexus of wastewater treatment (WWT), advanced tools such as machine learning play a crucial role. Current research has primarily constructed energy efficiency models, but there exists a lack in considering comprehensive dimensions and comparing pollutant removal types. In this study, we conducted spatial and temporal modeling to predict the energy consumption (EC) of WWT via machine learning approaches. EC (kWh) was the target feature, with the input features covering operational conditions, environmental benefits, and externalities. The optimal spatial model obtained a test R 2 of 0.8224 in ridge regression, while the temporal model achieved a test R 2 of 0.7253 in random forest. Besides, the removal amount (10 3 kg) fit best with EC during the spatial modeling, while the discharge concentration (mg/L) fit best with EC during the temporal modeling. Notably, treatment volume, the removal of chemical oxygen demand, and the removal of ammonia nitrogen emerged as the most significant factors. Given this, our findings suggest optimization implications including scale economy utilization and aeration improvement. The spatial and temporal dimensions also illuminated tailored strategies on influent regulation, technology selection, and effluent standard settings for a specific region and season. Results will provide valuable guidance for existing operation and future design of WWT projects toward energy-saving and carbon neutrality.

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“…Besides, the non-oriented type was selected. The equations could be seen in Liu et al 2021 [8] and the input and output indicators related are shown in Table 1.…”

Section: Kpi 1: Comprehensive Water-energy Efficiencymentioning

confidence: 99%

“…Wu et al elucidated the energy flow in terms of dinitrogen process and pointed out that the combination of organics capture at the early stage and anaerobic ammonia oxidation is a promising approach for WWTPs towards energy neutrality [7]. Besides, Liu et al revealed the existence of marginal effect in energy recovery scenarios and indicated that, for a certain WWTP, high ESSR does not determine a high economic feedback necessarily [8]. However, the studies above just focused on the selfsufficiency or energy offset.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Energy Neutrality Potential of Wastewater Treatment Plants Based on Comprehensive Water-Energy Efficiency and Self-Sufficiency Rate

Huang,

Wang,

2021

Preprint

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Municipal wastewater treatment plants (WWTPs) consume lots of energy and produce large amounts of greenhouse gases (GHGs) to remove pollutants. Nowadays, the concept of energy self-sufficient WWTPs is attracting more attention. This study aims at proposing an evaluation framework for energy neutrality potential of WWTPs from an integrated dimension of waterenergy efficiency and energy recovery. To achieve this, operational data of 970 WWTP samples located in Yangtze River Economic Belt (YREB) was extracted from China Urban Drainage Yearbook 2018. The chemical and thermal energy of WWTPs samples were estimated via the technology of combined heat and power (CHP) and water source heat pump (WSHP), respectively. Based on the results of CHP and WSHP, 2 key performance indicators (KPIs) were established to characterize the capability of WWTPs from aspects of basic function and energy recovery, respectively. The first one is comprehensive water-energy efficiency (CWEE) solved by data envelopment analysis (DEA) and the other is energy self-sufficiency rate (ESSR). In terms of the result, 98 samples were determined to be the benchmark, while 112 have potential to achieve the full self-sufficiency level. Moreover, there are 4 types of energy neutrality potential classified with the median of two KPIs set as the critical value. Besides, the explanatory factors were also analyzed, and results show that treatment capacity, influent concentration of chemical oxygen demand (COD), and influent ratio of 5-day biochemical oxygen demand to COD (BOD5/COD) affect the potential significantly. In addition, the energy neutrality potential of samples in the subregions differs distinctly. This study proposes the evaluation on the potential of WWTPs' energy neutrality with 2 KPIs from both perspective of water-energy efficiency and energy self-sufficiency. The results could provide guidance for other WWTPs under optimization for energy neutrality.

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Optimizing the recovery pathway of a net-zero energy wastewater treatment model by balancing energy recovery and eco-efficiency

Cited by 27 publications

References 59 publications

Physiological Responses of Methanosarcina barkeri under Ammonia Stress at the Molecular Level: The Unignorable Lipid Reprogramming

Physiological Responses of Methanosarcina barkeri under Ammonia Stress at the Molecular Level: The Unignorable Lipid Reprogramming

Spatial and Temporal Modeling on Energy Consumption of Wastewater Treatment Based on Machine Learning Algorithms

Evaluating the Energy Neutrality Potential of Wastewater Treatment Plants Based on Comprehensive Water-Energy Efficiency and Self-Sufficiency Rate

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