Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 414, P. 137749 - 137749
Published: June 7, 2023
Language: Английский
Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 414, P. 137749 - 137749
Published: June 7, 2023
Language: Английский
International Journal of Hydrogen Energy, Journal Year: 2023, Volume and Issue: 54, P. 791 - 816
Published: Aug. 19, 2023
Language: Английский
Citations
331Energy & Fuels, Journal Year: 2022, Volume and Issue: 36(13), P. 6626 - 6658
Published: June 13, 2022
Nanofluids have gained significant popularity in the field of sustainable and renewable energy systems. The heat transfer capacity working fluid has a huge impact on efficiency system. addition small amount high thermal conductivity solid nanoparticles to base improves transfer. Even though large research data is available literature, some results are contradictory. Many influencing factors, as well nonlinearity refutations, make nanofluid highly challenging obstruct its potentially valuable uses. On other hand, data-driven machine learning techniques would be very useful for forecasting thermophysical features rate, identifying most influential assessing efficiencies different primary aim this review study look at applications employed nanofluid-based system, reveal new developments research. A variety modern algorithms studies systems examined, along with their advantages disadvantages. Artificial neural networks-based model prediction using contemporary commercial software simple develop popular. prognostic may further improved by combining marine predator algorithm, genetic swarm intelligence optimization, intelligent optimization approaches. In well-known networks fuzzy- gene-based techniques, newer ensemble such Boosted regression K-means, K-nearest neighbor (KNN), CatBoost, XGBoost gaining due architectures adaptabilities diverse types. regularly used fuzzy-based mostly black-box methods, user having little or no understanding how they function. This reason concern, ethical artificial required.
Language: Английский
Citations
245ACS Sustainable Chemistry & Engineering, Journal Year: 2023, Volume and Issue: 11(4), P. 1221 - 1252
Published: Jan. 18, 2023
Hydrogen energy is environmental-friendly and considered an attractive alternative to fossil fuels. Among the feasible technologies for hydrogen generation, photocatalysis-derived from water splitting be optimal solution meeting long-term sustainability increased demands. In this context, various photocatalytic genres are proposed, with metal carbon-supported photocatalysts demonstrating greater comprehensiveness potential addressing solar-driven production water. Several important aspects of aforementioned reviewed in present work effort provide pertinent researchers new horizons more advanced performance. The review initiated by introducing primary principles photocatalysis, as well prerequisites generation focus then moves metal-based photocatalysts, where features these materials summarized. Related limitations also discussed, along proposed strategies that could potentially mitigate them. Similar systematic summaries made knowledge on carbon-based photocatalysts. concludes a discussion future research directions light bottlenecks currently encountered. With proper development, produce clean water, thereby fueling global development without causing environmental harm.
Language: Английский
Citations
81Bioresource Technology, Journal Year: 2023, Volume and Issue: 376, P. 128860 - 128860
Published: March 11, 2023
Language: Английский
Citations
72Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 416, P. 137736 - 137736
Published: June 17, 2023
Language: Английский
Citations
68Environmental Research, Journal Year: 2023, Volume and Issue: 240, P. 117537 - 117537
Published: Oct. 30, 2023
Language: Английский
Citations
53International Journal of Hydrogen Energy, Journal Year: 2023, Volume and Issue: 48(70), P. 27394 - 27407
Published: April 17, 2023
Language: Английский
Citations
42Journal of Sea Research, Journal Year: 2024, Volume and Issue: 199, P. 102504 - 102504
Published: May 10, 2024
Mangroves, tidal marshes, and seagrasses have been recognized as blue carbon coastal ecosystems they accommodate large stocks, enable long-term storage, the capacity to control greenhouse gas emissions possess potential reduce rise in atmospheric CO2 levels. In tropical subtropical intertidal zones, mangroves show significant productivity rapid deposition rates. Mangroves play an important role capturing, transforming, storing atmosphere into sediments for a long time displacing organic from zone offshores ocean. also help preventing storms, hurricanes, erosion, waves. Recently, threatened natural anthropogenic activities such urbanization, pollution, aquaculture tourism. They are expected hamper their essential services, defense, breeding grounds aquatic organisms' seafood supply, etc. Despite importance of mangrove forests sequestration well numerous goods services offer humans, including wood non-wood forest products, food, fisheries, medicines, eco-tourism, recreation. These deteriorating at alarming rates, necessitating immediate intervention. Thus, protection, restoration conservation this ecosystem gaining considerable attention researchers across globe. This paper provides information on different adaptations, mechanisms, roles ecosystem, estimation, influencing factors, threats, strategies invaluable habitat.
Language: Английский
Citations
27Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(39), P. 52448 - 52472
Published: Aug. 16, 2024
In this paper, it is aimed, for the first time, at deriving simple models, leveraging trend analysis in order to estimate future greenhouse gas emissions associated with coal combustion. Due expectations of becoming center global economic development future, BRICS-T (Brazil, Russian Federation, India, China, South Africa, and Turkiye) countries are adopted as cases study. Following models' derivation, their statistical validations estimating accuracies also tested through various metrics. addition, combustion estimated by derived models. The results demonstrate that models can be successfully used a tool combustions accuracy ranges from least 90% almost 98%. Moreover, show total amount relevant world will increase 14 BtCO
Language: Английский
Citations
22Journal of Analytical and Applied Pyrolysis, Journal Year: 2024, Volume and Issue: 178, P. 106430 - 106430
Published: March 1, 2024
Language: Английский
Citations
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