Study of greenhouse gas emissions from smoldering coal fires: Estimation considering the indirect greenhouse effect of precursors

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 443, P. 141113 - 141113

Published: Feb. 9, 2024

Language: Английский

---

Advances, Synergy, and Perspectives of Machine Learning and Biobased Polymers for Energy, Fuels, and Biochemicals for a Sustainable Future

Energy & Fuels, Journal Year: 2024, Volume and Issue: 38(3), P. 1593 - 1617

Published: Jan. 16, 2024

This review illuminates the pivotal synergy between machine learning (ML) and biopolymers, spotlighting their combined potential to reshape sustainable energy, fuels, biochemicals. Biobased polymers, derived from renewable sources, have garnered attention for roles in energy fuel sectors. These when integrated with ML techniques, exhibit enhanced functionalities, optimizing systems, storage, conversion. Detailed case studies reveal of biobased polymers applications industry, further showcasing how bolsters efficiency innovation. The intersection also marks advancements biochemical production, emphasizing innovations drug delivery medical device development. underscores imperative harnessing convergence future global sustainability endeavors collective evidence presented asserts immense promise this union holds steering a innovative trajectory.

Language: Английский

---

Multi-attribute optimization of sustainable aviation fuel production-process from microalgae source

Fuel, Journal Year: 2022, Volume and Issue: 324, P. 124759 - 124759

Published: June 11, 2022

Language: Английский

---

Improving the thermal efficiency of a solar flat plate collector using MWCNT-Fe3O4/water hybrid nanofluids and ensemble machine learning

Case Studies in Thermal Engineering, Journal Year: 2022, Volume and Issue: 40, P. 102448 - 102448

Published: Sept. 24, 2022

The thermal performance of a flat plate solar collector using MWCNT + Fe3O4/Water hybrid nanofluids was examined in this research. tested different nanofluid concentrations and flow rates an arid environment. A significant enhancement coefficient heat transfer (26.3%) with marginal loss on pressure drop due to friction factor (18.9%). data collected during experimental testing utilized develop novel prediction models for efficient transfer, Nusselt's number, factor, efficiency. modern ensemble machine learning techniques Boosted Regression Tree (BRT) Extreme Gradient Boosting (XGBoost) were used prognostic each parameter. battery statistical methods Taylor's graphs compare the these two ML techniques. value R2 BRT-based 0.9619 - 0.9994 0.9914 0.9997 XGBoost-based models. mean squared error quite low all (0.000081 9.11), while absolute percentage negligible from 0.0025 0.3114. comprehensive analysis model complemented improved comparison paradigm, reveal superiority XGBoost over BRT.

Language: Английский

---

Improving combustion and emission characteristics of a biogas/biodiesel-powered dual-fuel diesel engine through trade-off analysis of operation parameters using response surface methodology

Sustainable Energy Technologies and Assessments, Journal Year: 2022, Volume and Issue: 53, P. 102455 - 102455

Published: June 27, 2022

Language: Английский

---

Optimization of combustion, performance, and emission characteristics of a dual-fuel diesel engine powered with microalgae-based biodiesel/diesel blends and oxyhydrogen

Fuel, Journal Year: 2022, Volume and Issue: 326, P. 124987 - 124987

Published: June 25, 2022

Language: Английский

---

Enhancement of combustion characteristics of waste cooking oil biodiesel using TiO2 nanofluid blends through RSM

Fuel, Journal Year: 2022, Volume and Issue: 331, P. 125681 - 125681

Published: Sept. 2, 2022

Language: Английский

---

Modeling-optimization of performance and emission characteristics of dual-fuel engine powered with pilot diesel and agricultural-food waste-derived biogas

International Journal of Hydrogen Energy, Journal Year: 2022, Volume and Issue: 48(18), P. 6761 - 6777

Published: Aug. 15, 2022

Language: Английский

---

Logical Analysis on the Strategy for a Sustainable Transition of the World to Green Energy—2050. Smart Cities and Villages Coupled to Renewable Energy Sources with Low Carbon Footprint

Sustainability, Journal Year: 2022, Volume and Issue: 14(14), P. 8622 - 8622

Published: July 14, 2022

This paper brings, as an element of novelty and originality, a strategic feasibility study, in the form logical analysis related to proposed objective, with particularization area EFTA plus UK Ireland. We tried achieve overall picture sustainable prudent transition at macroeconomic level, but also microeconomic local levels, specific values ecological energy-smart villages/towns. The convergent actions signatory states climate treaty COP-26/2021—Glasgow, are improve logistics financing large-scale replacement fossil fuels used economy lives human society. Various strategies have been discussed address energy mixes that could be phase stages combined-cycle natural-gas plants, conditioned by implementation CCUS technology. preliminary stage will focus on provision modern technologies for production electricity photovoltaic wind power. Starting 2030s, industrialized blue green hydrogen is expected; first expected obtained from chemical synthesis natural gas separation storage residual carbon reactions, second directly ocean water through phenomenon H2O electrolysis. As basic legislative element, strategy aims refine idea tax border or user, order discourage use fuels.

Language: Английский

---

Using Bayesian optimization and ensemble boosted regression trees for optimizing thermal performance of solar flat plate collector under thermosyphon condition employing MWCNT-Fe3O4/water hybrid nanofluids

Sustainable Energy Technologies and Assessments, Journal Year: 2022, Volume and Issue: 53, P. 102708 - 102708

Published: Sept. 3, 2022

Language: Английский

---