Thermodynamic and economic assessments of an innovative methane liquefaction and multigeneration process relying on coke oven gas flow and micro gas turbine cycle DOI
Yuanxin Li, Theyab R. Alsenani, Mohammed Asiri

и другие.

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 138, С. 1017 - 1033

Опубликована: Май 22, 2025

Язык: Английский

Design and optimization of a modified solar-driven energy system utilizing advanced heat recovery methods for electricity and hydrogen production in sustainable urban applications DOI
Mohamed A. Ismail,

Ghanim Kadhim Abdul Sada,

Abdelfattah Amari

и другие.

Process Safety and Environmental Protection, Год журнала: 2024, Номер unknown

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

3

One System, Three Comforts: Techno-economic GA-based Optimization of a Solar Power-driven to Produce Green H2/Electricity/Cooling/ Hot Water DOI
Xiaohui Yu, Azher M. Abed, Mohammed A. Alghassab

и другие.

Energy, Год журнала: 2025, Номер unknown, С. 134560 - 134560

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

An advanced heat design-CO2 capture network for an oxy-biogas fuel combustion cycle combined with a CAES-based method for peak shaving: An artificial intelligent-driven optimization DOI
Riyadh F. Halawani, Ali Basem, Ahmed Salih Mohammed

и другие.

Renewable Energy, Год журнала: 2025, Номер unknown, С. 122474 - 122474

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Energy analysis and life cycle assessment of furfural and 5-hydroxymethylfurfural integrated biorefinery processes with heat pump-assisted reactive distillation DOI

Kunlanan Wiranarongkorn,

Karittha Im-orb,

Dang Saebea

и другие.

Energy, Год журнала: 2025, Номер unknown, С. 134720 - 134720

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

A simulation of integrated gasification, energy generation, and GIS from solid waste in Jazan Municipalities, KSA (Part 1: Gasification) DOI Creative Commons
Mohamed M. Hassan,

Salih Eltahir Elmarud Ali,

Mahmoud Abdelrahim Abdelgiom

и другие.

Ain Shams Engineering Journal, Год журнала: 2025, Номер 16(2), С. 103282 - 103282

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Utilization of steel slag in concrete: A review on durability and microstructure analysis DOI Creative Commons
Hisham Jahangir Qureshi, S. A. Al‐Ghamdi, Ali Majdi

и другие.

REVIEWS ON ADVANCED MATERIALS SCIENCE, Год журнала: 2025, Номер 64(1)

Опубликована: Янв. 1, 2025

Abstract This study addresses the research gap in understanding durability aspects and microstructure properties of steel slag (SS) concrete. A series different experimental results, including porosity, water absorption, pulse velocity, carbonation depth, chloride penetration, alkali–silica reaction, acid attacks, shrinkage, were summarized to assess SS Similarly, pozzolanic reaction SS, heat hydration, scanning electronic microscopy, thermogravimetry used SS-based Results indicate that improved However, inconsistencies quality, reactivity, expansion risks due free lime magnesium oxide present challenges. Finally, review also highlights proposed recommendation for future research.

Язык: Английский

Процитировано

0

Machine learning frameworks to accurately predict coke reactivity index DOI Creative Commons

Ayat Hussein Adhab,

Morug Salih Mahdi,

Krunal Vaghela

и другие.

Energy Exploration & Exploitation, Год журнала: 2025, Номер unknown

Опубликована: Фев. 13, 2025

Precisely forecasting coke reactivity index (CRI) plays a critical role in the metallurgical industry, as it enables optimization of quality, leading to cost-effective production and efficient resource utilization. In this research, several machine learning predictive models based on extra trees, decision tree, support vector machine, random forest, multilayer perceptron artificial neural network, K-nearest neighbors, convolutional ensemble learning, adaptive boosting using dataset gathered from plant are developed predict CRI. To minimize overfitting each algorithm, K-fold cross-validation methodology is employed during training phase. The efficacy algorithm visually represented through graphical methods quantitatively evaluated performance metrics. findings indicate that maximum fluidity mean reflectance (MMR) exhibit direct correlation with CRI while being indirectly relevant moisture content, ash sulfur basicity index, plastic layer thickness, MMR. Among various evaluated, forest model emerged most accurate tool, according metrics R-squared, square error, average absolute relative error (%), numerical values 0.958, 3.718, 2.545%, respectively, for total datapoints. tool can be easily used accurately estimate without needing experimental or field data reliably.

Язык: Английский

Процитировано

0

Thermodynamic, economic, and environmental footprint assessments and optimization of an innovative biogas-driven heat integration network, producing power, cooling, and heating DOI

Mingsen Wang,

Sayed Fayaz Ahmad, Manoj Kumar Agrawal

и другие.

Energy, Год журнала: 2025, Номер unknown, С. 135379 - 135379

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Optimization of Preparation Process and Property Study of BFS-based Alkali-activated Porous Thermal Insulation Materials DOI
Lei Zhang,

Guifeng Xiang,

Lei Zhang

и другие.

Korean Journal of Chemical Engineering, Год журнала: 2025, Номер unknown

Опубликована: Апрель 22, 2025

Язык: Английский

Процитировано

0

Experimental research on the influence of wall effect on the structure of cumulated semi-cokes DOI

Zhouzijing Yang,

Peibin Zhang, Liying Zhang

и другие.

Process Safety and Environmental Protection, Год журнала: 2025, Номер 198, С. 107232 - 107232

Опубликована: Апрель 29, 2025

Язык: Английский

Процитировано

0