Bridging uncertainty gaps with artificial intelligence-assisted syngas precise prediction in coal gasification DOI

Ying-jie Zhao,

Jiancheng Wang, Qun Yi

и другие.

Chemical Engineering Science, Год журнала: 2024, Номер unknown, С. 120734 - 120734

Опубликована: Сен. 1, 2024

Язык: Английский

Reviewing Improved Anaerobic Digestion by Combined Pre-Treatment of Waste-Activated Sludge (WAS) DOI Open Access
Miao Yang,

Margot Vander Elst,

Ilse Smets

и другие.

Sustainability, Год журнала: 2024, Номер 16(15), С. 6419 - 6419

Опубликована: Июль 26, 2024

The anaerobic digestion of wastewater treatment sludge (WAS) produces a “green” biogas while reducing the amount residual sludge. To increase yield biogas, several individual or combined pre-treatment methods WAS can be used. These substantially reduce volatile suspended solids (VSSs) and their associated total chemical oxygen demand (TCOD). Pre-treating will methane by 15 to 30%. Although have been dealt with in research large-scale operations, (hybrid) not previously reviewed. Here, different hybrid are reviewed, including (1) thermochemical hydrolysis pre-treatment, using an alkaline acid addition enhance solubilization cells production; (2) high-pressure homogenizer combining mechanical treatment; (3) ultrasound capable solubilizing organic compounds mechanisms, such as fast effective disruption increasing effect (NaOH) (4) microwave which enhances at least 20% comparison performance each separate process; (5) (MW) peroxidation (SSs), quickly (<5 min) disintegrated MW irradiation 80 °C; (6) ozone peroxides powerful oxidizing agents; (7) pulsed electric field (PEF) pretreatment. All literature findings assessed, discussing relevant operation conditions results achieved.

Язык: Английский

Процитировано

4

Effect of different biomass on properties of slurry fuel based on petroleum coke and municipal sludge DOI
Shuai Liu,

Jiaqi Fu,

Sen Huang

и другие.

Petroleum Science and Technology, Год журнала: 2025, Номер unknown, С. 1 - 19

Опубликована: Янв. 5, 2025

To produce high-quality slurry fuel from petroleum coke and municipal sludge, the effects of various biomass materials on characteristics were investigated experimentally. The used in this experiment classified into three categories: monosaccharides (e.g., glucose), starch-based potato residue), cellulose-based corn straw, water hyacinth, rice husk, kelp). results revealed significant variations properties influenced by different types their respective proportions. Increasing content led to a decrease solid concentration bubble sludge (bubble-PCSS). However, reduction was moderate with biomass, whereas it pronounced especially kelp. addition significantly improved pseudoplastic rheological slurry. Specifically, when incorporated, flow characteristic index approached 0.7. Optimal stability bubble-PCSS achieved at 2% level biomass. In contrast, using such as kelp, husks, they required 3-4% reach optimal stability, which somewhat less favorable than that

Язык: Английский

Процитировано

0

Explainable machine learning for predicting thermogravimetric analysis of oxidatively torrefied spent coffee grounds combustion DOI
Suluh Pambudi, Jiraporn Sripinyowanich Jongyingcharoen, Wanphut Saechua

и другие.

Energy, Год журнала: 2025, Номер unknown, С. 135288 - 135288

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Study on the transfer, transformation and toxic leaching of heavy metals in sludge shale composite ceramics from the perspective of environmental protection DOI
Xiangyu Song,

YU Hai-ming,

Dong Beom Yang

и другие.

Inorganic Chemistry Communications, Год журнала: 2025, Номер unknown, С. 114294 - 114294

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Prediction of Waste Sludge Production in Municipal Wastewater Treatment Plants by Deep-Learning Algorithms with Antioverfitting Strategies DOI
Juanjuan Chen, Weixiang Chao, Yixuan Wang

и другие.

ACS ES&T Engineering, Год журнала: 2025, Номер unknown

Опубликована: Апрель 3, 2025

Язык: Английский

Процитировано

0

Machine learning modeling of thermally assisted biodrying process for municipal sludge DOI
Kaiqiang Zhang,

Ningfung Wang

Waste Management, Год журнала: 2024, Номер 188, С. 95 - 106

Опубликована: Авг. 10, 2024

Язык: Английский

Процитировано

3

Bridging uncertainty gaps with artificial intelligence-assisted syngas precise prediction in coal gasification DOI

Ying-jie Zhao,

Jiancheng Wang, Qun Yi

и другие.

Chemical Engineering Science, Год журнала: 2024, Номер unknown, С. 120734 - 120734

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

0