Environment Development and Sustainability, Год журнала: 2024, Номер unknown
Опубликована: Сен. 3, 2024
Язык: Английский
Heliyon, Год журнала: 2024, Номер 10(5), С. e26395 - e26395
Опубликована: Фев. 19, 2024
It is precarious to scrutinize the impacts of operational parameters on corrosion when choosing materials for green diesel and automotive industries. This was original study showcase an optimization stratagem abating rates (CRs) parts (APs) explicitly copper brass in a biodiesel environment, adopting novel Response Surface Methodology (RSM) Adaptive Neuro-Fuzzy Inference System (ANFIS).To model CRs, RSM ANFIS were utilized. The mechanical properties APs inspected, their hardness number tensile strength, as well outward morphologies. optimal CRs 0.01656 mpy 0.008189 at B 3.91 biodiesel/diesel blend 240.9-h exposure. had higher coefficient determination lower values root mean squared errors (RMSE), average error (MAE), absolute deviation (AAD) compared model; this authenticates model's superiority predicting brass. strength greater than that copper, while latter number. information, model, correlations can assist APS mitigating slaving over corrosiveness utilizing diesel.
Язык: Английский
Процитировано
10
Fermentation, Год журнала: 2023, Номер 9(2), С. 120 - 120
Опубликована: Янв. 26, 2023
In this work, sugarcane vinasse combined with organic waste (food and wasted tea) was demonstrated to be an excellent source of biomethane synthesis from carbon-rich biowaste. The discarded tea trash might successfully used generate bioenergy. uncertainties costs associated experimental testing were recommended decreased by the effective use contemporary machine learning methods such as Gaussian process regression. training hyperparameters are crucial in construction a robust ML-based model. To make autoregressive, fine-tuned employing Bayesian approach. value R2 found greater during model test phase 0.72%, assisting avoidance overtraining. mean squared error 36.243 21.145 phase. absolute percentage under 0.1%, which 0.085% throughout model’s research that combination trash, food may viable for generation. methodology approach tuning regression is efficient method prediction despite low correlation across data columns. It possible enhance sustainability paradigm direction energy security via usage agroforestry waste.
Язык: Английский
Процитировано
23
ACS Omega, Год журнала: 2023, Номер 8(46), С. 43771 - 43791
Опубликована: Ноя. 8, 2023
There is a lack of information about the detailed characterization biomass Nigerian origin. This study presents comprehensive six biomass, groundnut shells, corncob, cashew leaves, Ixora coccinea (flame woods), sawdust, and lemongrass, to aid appropriate selection for bio-oil production. The proximate, ultimate, calorific value compositional analyses were carried out following American Standard Testing Materials (ASTM) standards. Fourier transform infrared spectroscopy, thermogravimetric analysis, scanning electron microscopy with energy-dispersive X-ray fluorescence employed in this functional group analyses, thermal stability, structural analyses. H/C O/C atomic ratios, fuel ratio, ignitability index, combustibility index samples evaluated. Groundnut lemongrass identified as promising feedstocks production based on their values (>20 MJ/kg). Sawdust exhibited favorable characteristics indicated by its higher volatile matter (79.28%), low ash content (1.53%), moisture (6.18%), high fixed carbon (13.01%). Also, all showed ignition flammability properties. nitrogen (<0.12%) sulfur (<0.04%) contents make them environmentally benign fuels lower percentage NOx SOx will be released during bio-oil. These results are contributions advancement sustainable efficient carbon-neutral energy mix, promoting resource utilization generation energy.
Язык: Английский
Процитировано
20
Renewable Energy, Год журнала: 2023, Номер 206, С. 514 - 530
Опубликована: Фев. 15, 2023
Язык: Английский
Процитировано
19
International Journal of Hydrogen Energy, Год журнала: 2024, Номер 59, С. 242 - 250
Опубликована: Фев. 7, 2024
Язык: Английский
Процитировано
7
Journal of Cleaner Production, Год журнала: 2024, Номер 469, С. 143220 - 143220
Опубликована: Июль 20, 2024
Язык: Английский
Процитировано
6
Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(6), С. 9392 - 9407
Опубликована: Янв. 8, 2024
Abstract Post-pandemic inflationist pressures, climate changes and extremes, regional conflicts, soaring food prices caused the crisis to increase rapidly worldwide. This global problem directs producers researchers use oils used as feedstock in biodiesel production effectively. In this context, it is important assay transesterification parameters conduct new optimization studies yield. study, methyl ester was produced from hemp oil by using sodium hydroxide (NaOH). Next, classical study carried out determine effects of catalyst amount, alcohol:oil molar ratio, reaction temperature, time variables on Secondly, cubic spline mathematical model (CSMM) polynomial regression (PRMM) were applied first data optimization. Among these methods, utmost yield registered 96.115% at seed (HSO):methanol ratio 5.59:1, concentration 0.531 wt%, temperature 42.5 °C, 62.1 min, agitation intensity 600 rpm PRMM. Some vital fuel properties obtained HSO biodiesels a result three optimizations satisfied EN 14214 standard. The results illustrated that optimal yields CSMM PRMM are 0.765% 1.065% higher, respectively, according maximum efficiency outcomes showed cost-effective, easy handle, promising approaches.
Язык: Английский
Процитировано
6
Energy Reports, Год журнала: 2024, Номер 11, С. 1580 - 1589
Опубликована: Янв. 21, 2024
This paper aims to prepare and evaluate the physicochemical energetic properties of briquette fuel made from cocoa pod husk. For preparation, husk was dried, carbonised, crushed, mixed using binder, compacted, finally briquettes obtained were dried. The produced characterised by proximate analysis, ultimate infrared spectroscopy, thermogravimetric analysis American Society for Testing Materials (ASTM) European Committee Standardisation (CEN) standards. results proximal (10.5%), (6.5%), (34.7%), (58.8%), respectively, moisture content, ash volatile matter, fixed carbon, are satisfactory values. found 53.2%, 5.2%, 34.4%, hydrogen, oxygen while H/C O/C gave 1.17 0.48, respectively. Higher Heating Value (17.941 MJ/kg) proved high thermal stability, with highest mass loss 32.50% at 361°C due extractive content aromatic structure polymer. presence C-O, CC, CHx, OH groups noticed, value index (FVI) impact resistance (IRI) showed 1104% 125%, These indicated that abundance these residues in landfills could serve as an alternative energy source environmental friendly features contribute economic growth country.
Язык: Английский
Процитировано
6
JOIV International Journal on Informatics Visualization, Год журнала: 2024, Номер 8(1), С. 55 - 55
Опубликована: Март 16, 2024
Integrating machine learning (ML) and artificial intelligence (AI) with renewable energy sources, including biomass, biofuels, engines, solar power, can revolutionize the industry. Biomass biofuels have benefited significantly from implementing AI ML algorithms that optimize feedstock, enhance resource management, facilitate biofuel production. By applying insight derived data analysis, stakeholders improve entire supply chain - biomass conversion, fuel synthesis, agricultural growth, harvesting to mitigate environmental impacts accelerate transition a low-carbon economy. Furthermore, in combustion systems engines has yielded substantial improvements efficiency, emissions reduction, overall performance. Enhancing engine design control techniques produces cleaner, more efficient minimal impact. This contributes sustainability of power generation transportation. are employed analyze vast quantities photovoltaic systems' design, operation, maintenance. The ultimate goal is increase output system efficiency. Collaboration among academia, industry, policymakers imperative expedite sustainable future harness potential energy. these technologies, it possible establish ecosystem, which would benefit generations.
Язык: Английский
Процитировано
6
Bioresource Technology, Год журнала: 2024, Номер 411, С. 131325 - 131325
Опубликована: Авг. 23, 2024
Язык: Английский
Процитировано
6