Blending methanol as fuel along with carbon nanotubes as an additive in automotive industries towards minimizing vehicular air pollution: Potentialities and prospects in Indian automotive industries

Matani, Ashok G.; Mali, Ashish

doi:10.1016/j.matpr.2020.08.806

Cited by 5 publications

(3 citation statements)

References 22 publications

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“…Methanol is potentially considered as a liquid fuel instead of petroleum (Matani et al 2021) widely applied in the energy industry, medical industry, chemical industry, and so on. The production of methanol can be briefly characterized by the processes of preparation of raw material gas, purification, compression, synthesis, and distillation (Da Silva et al 2016).…”

Section: Case Studiesmentioning

confidence: 99%

MP-CRJ: Multi-parallel cycle reservoirs with jumps for industrial multivariate time series predictions

Zhao

Shi

et al. 2022

Transactions of the Institute of Measurement and Control

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Nowadays, echo state networks (ESNs) with a variety of model structures are available for industrial process time series predictions. However, most existing ESNs employ a uniform timescale for data knowledge learning, which obviously ignores the influences of multivariate status at different timescales to the prediction target, usually leading to unsatisfactory model approximation performances. In response to this problem, this paper proposes a multi-parallel cycle reservoir with jumps (MP-CRJ) which is embedded with the feature knowledge of different timescales contained in the multivariate data. The MP-CRJ uses a more concise and superior circular jump reserve pool and a more memorable leaky integral neuron-filled parallel structure able to reduce the spatial complexity resulted from parallel ESNs and relatively improve the dynamic diversity of reserve pools. In addition, grey relational analysis algorithms are used to select relevant variables contributing to the prediction in filtering unnecessary data information. Applying to practical plant data for methanol productions, it shows that the MP-CRJ can help increase the prediction accuracy while maintain prediction speeds, as well as enjoy better adaptions to dynamics of complex industrial processes.

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Section: Case Studiesmentioning

confidence: 99%

MP-CRJ: Multi-parallel cycle reservoirs with jumps for industrial multivariate time series predictions

Zhao

Shi

et al. 2022

Transactions of the Institute of Measurement and Control

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“…At the same time, the volumes of emissions of toxicants with vehicle exhaust gases highly depend on the quality and type of motor fuel used, technical conditions and vehicle brand or model, traffic conditions, traffic flow intensity, type and conditions of the roadway covering, meteorological and weather conditions, other factors, etc. The problem of emissions can be partially solved by improving the quality of the fuel with special additives or transitioning to fuels of biological origin (Vasylkevych et al, 2016;Vasylkevych et al, 2017;Matani and Mali, 2021). However, even the use of the most modern and effective additives cannot reduce the engine exhaust toxicity to a safe level.…”

Section: Statement Of the Problem And Analysis Of Literary Sourcesmentioning

confidence: 99%

Modeling of the Car Traffic Air Pollution on the Territories Neighboring Multi-level Interchanges

Кофанов

Кофанова

Chepel

et al. 2022

EREM

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Ensuring the proper quality of the environment is a foreground and important task for achieving sustainable development goals in contemporary urban societies. Therefore, the aim of the research is to study the air pollution on the territories neighboring multi-level interchanges and assess the additional load on the lower levels based on the analysis of physico-chemical properties of harmful substances, which are exhausts components. The scientific novelty of the paper and the authors’ contribution is in determining the level of ecological danger of territories neighboring multi-level interchanges as a result of the summation effect from emissions of vehicle flows, physical and chemical properties of pollutants, and processes of their sedimentation. To predict the pollution level of the roadside air, the model of torch approximation based on the K-theory and the equations of turbulent diffusion was used. Both mathematical modeling and visualization were performed by the Mathcad software package. Particular attention was paid to the analysis of the environmental situation neighboring multi-level interchanges and urban objects in terms of their pollution with nitrogen oxides and particulate matter PM10. Research has shown that due to the sedimentation processes a significant increase of the technogenic load on the interchange first level road will be observed. It was found that, compared to the upper road, the technogenic load in the center of the lower road increases on average by 1.4–1.6 times in terms of nitrogen oxides and by 1.5–1.6 times in terms of PM10. The territory with the harmful substances maximum permissible concentration excess is significantly increased. So, taking into account that multi-level interchanges are much more environmentally acceptable than surface sections of roads with traffic lights and pedestrian crossings, they still pose danger to the health of people who stay for a long time at the transport stops, move on the sidewalks and underground crossings, as well as for vehicle drivers and passengers. Thus, it is recommended not to place on the territories neighboring multi-level interchanges public transport stops, cafes, shops, and other city infrastructure objects, as well as to remove the existing ones.

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“…The energy consumption and harmful emissions emitted from the vehicles have increased continuously [3,4]. The use of alternative fuels especially renewable ones in the vehicles has become an urgent priority in nowadays due to prevent environmental problems, reduce the consumption of limited petroleum resources and meet the current stringent emissions regulations [5,6]. However, technical and raw material problems related to renewable alternative fuels hinder a rapid and complete transformation.…”

Section: Introductionmentioning

confidence: 99%

A Review on the Effects of Nanolubricant Addition into Lube Oil on the Performance of Spark Ignition Engines

Şahin

Sezer

2023

ICSIS

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Every year there is a rise in energy demand due to the rapid development in industrializationand automotive sector, demand and depletion of fossil fuels, fuel price instabilities, diminished energysecurity, uncertainty in oil supply to the consuming nations, fuel import costs, increased harmfulenvironmental effects due to various pollutants are the main driving forces to search for new alternativefuels that are renewable, eco–friendly and harmless in nowadays. Most researchers have focused ondeveloping a wide range of renewable energies including oxygenated fuels, biofuels, fuel cell, and solarenergy technologies to reduce the consumption of fossil fuels and control the emission of greenhouse gasesto emit the atmosphere. The novel application in transportation and power generation sectors has showndevelopment in the past decades to ensure a low emission level, energy savings, and high performance andefficiency. A new research area grows rapidly which is called nanotechnologies are considered nowadaysone of the most recommended choices to solve the problem of the production and use of energy.Nanotechnology can be used to improve the efficiency and performance of both of conventional andrenewable resources and also fuels. Nanofuels consist of a nano–sized metal particle having size rangingfrom 1 to 100 nm is mixed inside the base fluid by means of ultrasonication process. The nano fuel additivehas a higher surface to volume ratio and act as a catalyst that results in enhanced characteristics of fuelsand oils which leads to enhanced performance and combustion characteristics of internal combustionengines. This review study investigates the effects of nanolubricant addition into lube oil on theperformance of spark ignition engines.

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Blending methanol as fuel along with carbon nanotubes as an additive in automotive industries towards minimizing vehicular air pollution: Potentialities and prospects in Indian automotive industries

Cited by 5 publications

References 22 publications

MP-CRJ: Multi-parallel cycle reservoirs with jumps for industrial multivariate time series predictions

MP-CRJ: Multi-parallel cycle reservoirs with jumps for industrial multivariate time series predictions

Modeling of the Car Traffic Air Pollution on the Territories Neighboring Multi-level Interchanges

A Review on the Effects of Nanolubricant Addition into Lube Oil on the Performance of Spark Ignition Engines

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