Improving the Processes of Thermal Preparation of an Automobile Engine with Petrol and Gas Supply Systems (Vehicle Engine with Petrol and LPG Supplying Systems)

Грицук, Ігор; Pohorletskyi, Dmytro; Mateichyk, Vasyl; Symonenko, Roman; Tsiuman, Mykola; Volodarets, Mykyta; Bulgakov, Mykola; Volkov, Vladimir; Vychuzhanin, Vladimir; Grytsuk, Yuriy; Ahieiev, Maksym; Sadovnyk, Ivan

doi:10.4271/2020-01-2031

Cited by 10 publications

(14 citation statements)

References 14 publications

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“…the infrastructure's elements and systems of receiving and transmitting information, analysis, and control [1][2][3][4][5][6][7][8][9][10]. The analytical part includes software, logistical, and hardware components of the vehicle's board and infrastructure [1][2][3][4].…”

Section: In Connection With the Active Development Of Information Sysmentioning

confidence: 99%

“…The analytical part includes software, logistical, and hardware components of the vehicle's board and infrastructure [1][2][3][4]. An obligatory element in this case is the place of the operator of the V2I communication network in the information analysis system for monitoring and controlling vehicles [1,4,5,9] under the operating conditions. The components of the system as well as its general structure, operation and results of its information processing were described in detail in [1][2][3][4][5][6][7][8][9][10].…”

Section: In Connection With the Active Development Of Information Sysmentioning

confidence: 99%

“…The information part of the V2I system provides it with information from the vehicle and the infrastructure [1][2][3][4][5][6][7][8][9][10]. The analytical part of the V2I network processes information and controls the vehicle under operating conditions.…”

Section: In Connection With the Active Development Of Information Sysmentioning

confidence: 99%

“…For the delay (D) blocks, the corresponding parameters of the triangular distributions are given in Table 3. D_bS1_mb50 triangular (7,9,14) D_bS1_mb79 triangular(0, 7, 10) D_bS1_mb80 triangular(6, 9, 11) D_bS1_mb80A triangular(0, 6, 10) D_bS1_b80 triangular (5,12,16) During the optimization experiment, the parameters p1 and p2 were varied in the range from 20 s to 40s with a step of 1 s. Table 4 and Fig. 11a show the results of the simple experiment 'Simulation1', which simulated traffic in the considered transport hub with the current values of p1=37 s and p2=25 s with the given vehicles according to the model in [23].…”

Section: Stop Line_4mentioning

confidence: 99%

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Development of the analytical system for vehicle operating conditions management in the V2I information complex using simulation modeling

Volodarets¹,

Грицук²,

Ukrainskyi³

et al. 2020

EEJET

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the creation of corresponding agents and their populations. Models of public transport delays at stops using a triangular distribution were developed, and the corresponding hypotheses were confirmed by Pearson's test (χ 2). The developed models can be used in the process of rebuilding a transport hub, as well as for modeling traffic when the operating conditions of vehicles change and for predicting such changes. The simulation results can be used in the creation and design of intelligent transport systems

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Section: In Connection With the Active Development Of Information Sysmentioning

confidence: 99%

Section: In Connection With the Active Development Of Information Sysmentioning

confidence: 99%

Section: In Connection With the Active Development Of Information Sysmentioning

confidence: 99%

Section: Stop Line_4mentioning

confidence: 99%

See 2 more Smart Citations

Development of the analytical system for vehicle operating conditions management in the V2I information complex using simulation modeling

Volodarets¹,

Грицук²,

Ukrainskyi³

et al. 2020

EEJET

Self Cite

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show abstract

“…Currently, Ukrainian automotive fleet in cludes almost 11 million units of vehicles (Vs) whose structure is as follows [1,2]: cargo vehicles are 15.5 %; buses are 2.6 %; light Vs are 81.9 %. Almost all cargo Vs [3] and buses [4] consume diesel fuel, which has unfavourable effect on the environment. These transport vehicles are not the only consumers of diesel fuel which is also used by such industrial conveyance facilities as railway locomotives [5] and mine diesel locomotives [6].…”

mentioning

confidence: 99%

Influence of diesel vehicles on the biosphere

Волков¹,

Внукова²,

Таран³

et al. 2020

Nauk. visn. nat. hirn. univ.

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Purpose. To identify environmental climatic impacts resulting from the biodiesel fuel use for vehicles (Vs). Methodology. The methods are based on computation of natural resource consumption and toxic emission with the help of environmental footprint calculator being a software program. Findings. The results of integral assessment of the environmental impact (namely, consumption of water, power, natural resources, and emission of greenhouse gases 2, and NOx in terms of such base traction trucks as VOLVO FM, FH, FE, and FL) were computed for biodiesel fuel types 0, 7, 30, 100 depending upon different standards of EURO propellants. Both positive and negative environmental impact factors have been determined for consuming biofuels during full lifecycle of Vs. It has been defined that minor decrease in 2 emission owing to the use of standard modern biodiesel fuel is followed by significant increase in NOx emission as well as power and water consumption in terms of first-generation biodiesel fuel utilization. VOLVO F Vs were applied for comparative analysis of environmental impact by first-generation biodiesel fuel (i.e. 7, 30, 100) and second-generation fuel being hydrotreated vegetable oil (HVO). Similar tendencies were recognized. Moreover, opportunity to apply biodiesel fuels along with other measures decreasing 2 emission was analyzed. Originality. Originality is stipulated by the use of the integrated assessment of impact of vehicles on climate change as well as use of natural resources while applying biodiesel fuel for vehicles. Practical value. It is possible to forecast environmental consequences resulting from the use of various biodiesel fuels for Vs.

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Modeling seawater distillation and scale deposition processes in shipboard equipment

Melnyk,

Onishchenko,

Jurkovič

et al. 2024

E3S Web Conf.

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This study addresses the complexities of shipboard desalination plants and scaling control methods in seawater distillation systems. Using advanced modeling techniques, the study examines the interaction of various parameters affecting system performance. Factors such as seawater density, thermal conductivity and specific heat capacity are considered along with scale deposition parameters such as salt concentration, scale formation rate and deposition rate. The study includes thermodynamic analysis, scale formation kinetics and heat transfer between different components of the system. The effect of salt concentration and pressure on scale deposition rate is also studied. The resulting integrated model provides insight into the optimization of desalination processes on board ships, thereby contributing to the improvement of water management strategies in offshore operations.

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Improving the Processes of Thermal Preparation of an Automobile Engine with Petrol and Gas Supply Systems (Vehicle Engine with Petrol and LPG Supplying Systems)

Cited by 10 publications

References 14 publications

Development of the analytical system for vehicle operating conditions management in the V2I information complex using simulation modeling

Development of the analytical system for vehicle operating conditions management in the V2I information complex using simulation modeling

Influence of diesel vehicles on the biosphere

Modeling seawater distillation and scale deposition processes in shipboard equipment

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