Renewable energy role in low-carbon economy and net-zero goal: Perspectives and prospects

Energy & Environment, Journal Year: 2024, Volume and Issue: unknown

Published: May 21, 2024

Several issues such as sustainability, CO 2 footprint, and energy supply security which primarily resulted from fossil fuel emissions have become the main concerns for analysts policymakers worldwide. Therefore, to meet goals of sustainable well switch a net-zero low-carbon economy, systems must be diversified by increasing implementation renewable clean sources energy. This paper focused on deep analysis key role bioenergy, geothermal, solar, hydropower or hydrogen, ocean, wind (BIGSHOW) in producing aiming attain norms climate change mitigation. Furthermore, AI technology its applicability were also introduced enhance management efficiency BIGSHOW energy-use strategies. More importantly, barriers bottlenecks deploying projects applications comprehensively analyzed. Finally, policy implications vital solutions thoroughly presented increase penetration system. In short, this work could strong persuasive evidence speeding up shifting progress precarious fuel-based economy one, has been known core role.

Language: Английский

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Desirability-based optimization of dual-fuel diesel engine using acetylene as an alternative fuel

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 59, P. 104488 - 104488

Published: May 6, 2024

The study examined the dual-fuel engine performance employing acetylene gas as primary fuel and diesel pilot fuel. engine's operational parameters were adjusted using Box-Behnken design, results recorded. best operating settings yielded 81.25 % load, 4.48 lpm flow rate compression ratio 18. At this optimized setting BTE was 27.1 emitted 360 ppm of NOx, 56.2 HC, 104 CO. experimental data at compared to results, percentage errors within 7 %. Two advanced machine learning methods, LightGBM Tweedie, used predict efficiency emissions. Tweedie-based models had an R2 value 0.89–1, while LightGBM-based 0.38–1. mean squared error 0.24–45.04 for 8.5 153.89 models. On basis MSE, it observed that Tweedie superior making predictions than LightGBM. demonstrated efficient functioning a alternative increased lower

Language: Английский

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Nanotechnology-based biodiesel: A comprehensive review on production, and utilization in diesel engine as a substitute of diesel fuel

International Journal of Renewable Energy Development, Journal Year: 2024, Volume and Issue: 13(3), P. 405 - 429

Published: March 15, 2024

As a sustainable replacement for fossil fuels, biodiesel is game-changer in the energy sector. There no strategy to minimize biodiesel's significance as sustainable, clean fuel source light of increasing climate change and environmental sustainability concerns. Nevertheless, conventional production methods often run into problems like inadequate conversion efficiency inappropriate properties, which impede their broad adoption. The revolutionary potential nanotechnology circumvent these limitations revolutionize consumption explored this review paper. are new possibilities improving output engine efficiency, thanks nanotechnology, can alter matter at atomic molecular levels. Using nano-catalysts, nano-emulsification processes, nano-encapsulation procedures, researchers have made significant advances qualities such stability, combustion viscosity. Through comprehensive analysis current literature research data, article elucidates crucial role advancing technology. By shedding on most advancements, challenges, future outcomes nano-based manufacturing consumption, hopes add growing corpus knowledge field inspire additional innovation. In conclusion, there great hope future, increased economic growth, reduced impacts through application nanotechnology.

Language: Английский

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Artificial intelligence applications in solar energy

JOIV International Journal on Informatics Visualization, Journal Year: 2024, Volume and Issue: 8(2), P. 826 - 826

Published: May 31, 2024

Renewable energy research has become significant in the modern period owing to escalating prices of fossil fuels and pressing need reduce greenhouse gas emissions. Solar stands out among these sources due its abundance global accessibility. However, weather-dependent cyclical nature add inherent risks, making effective planning management difficult. Soft computing technologies provide attractive solutions for modeling such systems, while machine learning optimization techniques are gaining popularity solar industry. The current literature highlights growing use soft technologies, emphasizing their potential address difficult challenges systems. To effectively reap benefits, strategies must be seamlessly connected with emerging like Internet Things (IoT), big data analytics, cloud computing. This integration provides a unique opportunity improve scalability, flexibility, efficiency Researchers can synergies create intelligent, linked ecosystems capable real-time production, delivery, consumption. These have transform renewable environment, allowing more resilient sustainable infrastructures. Furthermore, as improve, there is demand trained experts associated cybersecurity problems, assuring integrity security sophisticated may pave road energy-efficient future by working collaboratively using interdisciplinary methodologies.

Language: Английский

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Exploring the feasibility of dimethyl ether (DME) and LPG fuel blend for small diesel engine: A simulation perspective

International Journal of Renewable Energy Development, Journal Year: 2024, Volume and Issue: 13(3), P. 559 - 571

Published: April 20, 2024

There is a looming global crisis owing to the increase in greenhouse gases and escalating fossil fuel process. The issue further compounded by ongoing conflicts different places world. Hence, there an urgent need for bouquet of alternative fuels suitable power incumbent internal combustion engine. Among various options available Dimethyl Ether (DME) friendly environment fuel, easy liquefy, use diesel engines, while Liquefied Petroleum Gas (LPG) another potential engines. present study endeavor investigate characteristics engine powered with DME-diesel blends as pilot LPG was used main fuel. During testing, diesel-DME were containing 0%, 25%, 50%, 75% DME. AVL Boost software employed modeling performance tailpipe emission. test combination successful running sans any abnormality sound or performance. results showed carbon monoxide (CO) hydrocarbon (HC) emissions reduced using marginal oxides nitrogen (NOx) levels. In general, DME could be considered promising solution reducing pollutant emissions.

Language: Английский

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Prognostic Modelling of Biomethane Production from Waste: Application of Extreme Gradient Boosting

International Journal on Computational Engineering, Journal Year: 2024, Volume and Issue: 1(1), P. 21 - 26

Published: March 30, 2024

The escalating fossil fuel prices and greenhouse gases need urgent attention for a sustainable solution. present study explores as modern machine learning approaches can be employed to prognosticate the complex biomethane generation process from organic wastes, like biowaste or food waste. research investigates use of sludges how intelligent comprehend nonlinear processes involved in production. Linear regression Extreme gradient boosting (XGBoost) based prediction-models were developed assessed employing diverse set statistical parameters, including R, R2, Mean Squared Error (MSE), Absolute (MAE), Kling-Gupta Efficiency (KGE). results show that XGBoost model beat classical Regression (LR) both training testing phases. During training, had an impressive R2 value 0.99994, indicating perfect fit data. In contrast, LR achieved 0.65464. Similarly, during test period, outperformed with values ​​of 0.9553 0.9902. Furthermore, reduced prediction errors, significantly lower MSE MAE ​​than LR. Taylor’s graph better illustrates excellent performance over testing. These data demonstrate ability predict production, well its improve production process.

Language: Английский

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Flashback control in supplying onboard-produced HHO to enrich gasoline-fueled motorcycle engines

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 93, P. 1316 - 1329

Published: Nov. 11, 2024

Language: Английский

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