scholarly journals A statistical Approach for Finding Influential Factors in Respect of Energy Consuming of A Car Passenger

2018 ◽  
Vol 213 ◽  
pp. 04002
Author(s):  
Hussein M. Ali ◽  
Asif Iqbal
Keyword(s):  
Statistical Analysis ◽  
Fuel Consumption ◽  
Statistical Approach ◽  
Energy Resource ◽  
Influential Factors ◽  
Fuel Saving ◽  
Affecting Factors ◽  
Fuel Prices ◽  
Energy Consuming ◽  
The Cost

Nowadays the usage of gasoline as an energy resource is one of the most important subjects in the engineering field. A car is one type of energy consumer. Energy is used to build the cars and to running it. The fuel prices are fluctuate, so it seems sensible to explore every avenue towards saving energy in cars making. and study the factors that affect its consumption. The aim of the present work is to explain theoretically the calculation of fuel saving and cost in a car passengers in a greater detail than it has been done before and to describe statistically the affecting factors upon it. A statistical analysis has been used to study the influence of the weight and acceleration of the car upon the fuel consumption. It was shown that the fuel consumption increases linearly with the increase of a car weight and accordingly, the cost per unit travel of the car will increase.

scholarly journals PENGHEMAT BAHAN BAKAR DENGAN MENGGUNAKAN PIPA KATALIS METODE HYDROCARBON CRACK SYSTEM GANDA PADA SEPEDA MOTOR 4 TAK 160 CC

2019 ◽  
Vol 2 (2) ◽  
pp. 1
Author(s):  
Sena Mahendra ◽  
Fahmy Fatra ◽  
Akhmad Riszal Riszal ◽  
Didik Rohmantoro
Keyword(s):  
Fuel Consumption ◽  
Engine Speed ◽  
Engine Performance ◽  
Fuel Saving ◽  
Pipe Length ◽  
Engine Torque ◽  
Fuel Prices ◽  
Performance Time ◽  
In Series ◽  
High Octane

Motorized vehicles with economical fuel, agile, fast, and practical are some of the main factors consumers determine the choice of buying a motorcycle. People who own motorcycles under 2000 have not been equipped with fuel-saving devices, so they are wasteful of fuel and must be smart to save fuel. Many motorcycle manufacturers release the newest fuel-efficient products, but they affect the engine's performance. The price of premium fuel types is Rp. 6,500.00 per liter, petalite Rp. 7,600.00 per liter, firstly Rp. 8,900.00 per liter, and Pertamax turbo Rp. 10,100.00 per liter. High fuel prices encourage researchers to make various fuel-saving innovations. The purpose of this study is to develop an HCS catalyst pipe design double spiral model arranged in series to save fuel above 67% on a 4 stroke motorcycle without affecting the engine performance. The research method uses independent variables with engine speed, pipe length, pipe diameter, and Pertamax volume. Dependent variable by testing engine torque and power, fuel consumption time, temperature, and noise of the 156.7cc Mega Pro motorcycle. The addition of dual HCS catalyst spiral pipes and Pertamax volumes adds to engine performance time. At a length of 500 mm and 2000 ml, the Pertamax volume for the engine speed of 3500 rpm is only able to save fuel by 52.52%. The most optimal HCS double catalyst spiral pipe design is a 500 cm long pipe with a volume of Pertamax 2000 ml. In addition to engine performance time on the catalyst spiral pipe design can increase engine torque and power by 92.3% at 3500 rpm and reduce the temperature by 12.34% at 6000 rpm, and 1.93% noise at 4000 rpm. Increasing the double HSC catalyst spiral pipe and Pertamax volume can increase the hydrocarbon content of fuel entering the combustion chamber supplied from Pertamax vapor. Premium fuel (C8H18) plus Pertamax vapors. This makes the fuel content has a high octane value, greater engine power, and low fuel consumption. A high octane value affects perfect engine combustion, reduced knocking, low engine temperature, and decreased noise.Kendaraan bermotor dengan bahan bakar yang irit, lincah, cepat, dan praktis merupakan salah satu faktor utama konsumen menentukan pilihan membeli sepeda motor. Masyarakat yang memiliki sepeda motor di bawah tahun 2000 belum dilengkapi dengan alat penghemat bahan bakar, sehingga boros bahan bakar dan harus pintar menghemat bahan bakar. Banyak produsen sepeda motor yang mengeluarkan produk terbarunya paling irit bahan bakar, tetapi mempengaruhi performa mesinnya. Harga bahan bakar jenis premium Rp. 6.500,00 per liter, pertalite Rp. 7.600,00 per liter, pertamax Rp. 8.900,00 per liter, dan pertamax turbo Rp. 10.100,00 per liter. Harga bahan bakar yang tinggi mendorong peneliti melakukan berbagai inovasi penghemat bahan bakar.Tujuan penelitian ini mengembangkan desain pipa katalis HCS model spiral ganda yang disusun seri sehingga mampu menghemat bahan bakar diatas 67% pada sepeda motor 4 tak tanpa mempengaruhi performa mesin. Metode penelitian menggunakan variabel bebas dengan putaran mesin, panjang pipa, diameter pipa, dan volume pertamax. Variabel terikat dengan menguji torsi dan daya mesin, waktu konsumsi bahan bakar, temperatur, dan kebisingan sepeda motor Mega Pro 156,7cc. Penambahan pipa spiral katalis HCS ganda dan volume pertamax menambah waktu performa mesin. Pada panjang 500 mm dan 2000 ml volume pertamax untuk kecepatan putaran mesin 3500  rpm hanya mampu menghemat bahan bakar sebesar  52,52%. Desain pipa spiral katalis HCS ganda  yang paling optimal dari yaitu pipa dengan panjang 500 cm dan volume pertamax 2000 ml. Selain waktu performa mesin pada desain pipa spiral katalis ini dapat meningkatkan torsi dan daya mesin sebesar 92,3% pada putaran 3500 rpm serta mengurangi temperatur 12,34% pada putaran 6000 rpm, dan kebisingan 1,93% pada putaran 4000 rpm. Bertambahnya pipa spiral katalis HSC ganda dan volume pertamax dapat meningkatnya kandungan hidrokarbon bahan bakar yang masuk ke ruang pembakaran disuplay dari uap pertamax. Bahan bakar premium (C8H18) di tambah uap pertamax.menjadikan kandungan bahan bakar memiliki nilai oktan tinggi, daya mesin yang lebih besar dan komsumsi bahan bakar rendah. Nilai oktan tinggi mempengaruhi pembakaran mesin sempurna, knocking berkurang, temperatur mesin rendah, dan kebisingan menurun

scholarly journals Financial Performance of Non-oil Manufacturing Companies Listed on the Libyan Stock Market (LSM): Mixed Methods Study

2019 ◽  
Vol 9 (4) ◽  
pp. 77
Author(s):  
Khalifa Mohamed Khalifa Omar
Keyword(s):  
Statistical Analysis ◽  
Stock Market ◽  
Financial Performance ◽  
Manufacturing Companies ◽  
Analysis Method ◽  
Affecting Factors ◽  
Structured Interviews ◽  
Turnover Ratio ◽  
Statistical Effect ◽  
Statistical Analysis Method

The major objective of this study is to assess the financial performance and identify the affecting factors in this performance of non-oil manufacturing companies from 1999 to 2008. The study sample consisted of all non-oil manufacturing companies' enlisted at Libyan stock market which count (8). The data collected was analyzed by using statistical analysis method such as descriptive statistics, correlation test, Multiple- regression, as well as semi-structured interviews method. The results regarding to the statistical analysis method (net working capital, inventory turnover ratio, selling and general administrative expenses ratio, and company size and company age), have a positive statistical effect on the financial performance(ROA), while the variables of (current ratio, quick ratio and account receivable turnover ratio), have a negative statistical effect on the financial performance (ROA). The results regarding to semi-structured interviews method, reveal that the respondents in the interviews were confirmed that the selected factors have a significant effect on financial performance (ROA). The researcher recommended that the selected companies must consider the listed decision on the Libyan stock market; even when their financial performance is good.

scholarly journals The Model of Vehicle and Route Selection for Energy Saving

2021 ◽  
Vol 13 (8) ◽  
pp. 4528
Author(s):  
Olga Lingaitienė ◽  
Juozas Merkevičius ◽  
Vida Davidavičienė
Keyword(s):  
Sustainable Development ◽  
Fuel Consumption ◽  
Motor Vehicles ◽  
The Sustainable Development ◽  
Supply Chain Efficiency ◽  
The World Bank ◽  
Cargo Delivery ◽  
Efficiency And Effectiveness ◽  
The Cost ◽  
Source Use

The World Bank, United Nations, the Organization for Economic Cooperation and Development, and others are in line with the governments of countries that are strongly interested in the sustainable development of countries, regions, and enterprises. One of the aspects that affects the indicators and prospects of sustainable development is the efficiency of energy source use. Nationwide reductions in the greenhouse gas emissions of motor vehicles could have a direct effect on ambient temperature and reducing the effects of global warming, which can affect future environmental, societal, and economic development. Significant reductions in fuel consumption can be achieved by increasing the efficiency of use, and the performance, of current cargo vehicles. This aspect is directly related to cargo delivery systems and supply chain efficiency and effectiveness. The article solves the problem of increasing the effectiveness of cargo delivery and proposes a model that would minimize transportation costs that are directly related to fuel consumption, shortening transportation time. The model addresses the problem of a lack of models evaluating the efficiency of cargo to Lithuania that is using several different modes of transportation. For the solution to this problem, the article examines the complexity of the rational use of land and water vehicles depending on the type of cargo transported, the technical capabilities of the vehicles (loading, speed, environmental pollution, fuel consumption, etc.), and the type (cars, railways, ships). The novelty of the findings is based on the availability to select the most appropriate vehicles, on a case-by-case basis, from the available options, depending on their environmental performance and energy efficiency. This model, later in this article, is used for calculations of Lithuanian companies for selecting the most rational vehicle by identifying the most appropriate route, as well as assessing the dynamics of the economic and physical indicators. The model allows for creating dependencies between the main indicators characterizing the transport process—the cost, the time of transport, and the safety, taking into account the dynamics of economic and physical indicators, that lead to a very important issue—reducing the amount of energy required to provide products and services.

scholarly journals Factors Affecting the Rate of Fuel Consumption in Aircrafts

2021 ◽  
Vol 13 (14) ◽  
pp. 8066
Author(s):  
Thowayeb H. Hassan ◽  
Abu Elnasr E. Sobaih ◽  
Amany E. Salem
Keyword(s):  
Fuel Consumption ◽  
Positive Association ◽  
Pollutant Emissions ◽  
Aviation Industry ◽  
Factors Affecting ◽  
Fuel Flow ◽  
Homogeneity Of Variance ◽  
Strong Positive Association ◽  
Ground Distance ◽  
The Cost

The cost of fuel and its availability are among the most major concerns for aircrafts and the aviation industry overall. Environmental difficulties with chemical pollutant emissions emitted by aviation machines are also connected to fuel consumption. As a result, it is crucial to examine factors that affect the overall fuel usage and consumption in the airport-based aviation industry. Several variables were investigated related to the total fuel consumed, such as dry operating weight (DOW) (KG), zero-fuel weight (ZFW), take-off weight (TOW), air distance (AIR DIST) (KM), and ground distance (GDN DIST). Analysis of the correlation between total fuel consumed as well as the extra fuel and selected variables was conducted. The results showed that the most positively associated factors with the total used fuel were the air distance (r2 = 0.86, p < 0.01), ground distance (r2 = 0.78, p < 0.01), TOW (r2 = 0.68, p < 0.01), and flight time (r2 = 0.68, p < 0.01). There was also a strong positive association between the average fuel flow (FF) and actual TOW (r2 = 0.74, p < 0.01) as well as ZFW (r2 = 0.61, p < 0.01). The generalized linear model (GLM) was utilized to assess the predictions of total energy usage after evaluating important outliers, stability of the homogeneity of variance, and the normalization of the parameter estimation. The results of multiple linear regression revealed that the most significant predictors of the total consumed fuel were the actual ZFW (p < 0.01), actual TOW (p < 0.01), and actual average FF (p < 0.05). The results interestingly confirmed that wind speed has some consequences and effects on arrival fuel usage. The result reflects that thermal and hydrodynamic economies impact on the flying fuel economy. The research has various implications for both scholars and practitioners of aviation industry.

scholarly journals Energy and Environmental Implications of Using Energy-Harvesting Speed Humps in Nablus City, Palestine

Atmosphere ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 937
Author(s):  
Fady M. A. Hassouna ◽  
Mahmoud Assad ◽  
Islam Koa ◽  
Wesam Rabaya ◽  
Aya Aqhash ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Ghg Emissions ◽  
Traffic Volume ◽  
Environmental Implications ◽  
Traffic Conditions ◽  
National University ◽  
Energy Consuming ◽  
The Cost ◽  
Annual Amount ◽  
Speed Humps

Over the last three decades, transportation has become one of the main energy-consuming sectors around the world and, as a result, large amounts of emissions are produced, contributing to global warming, climate change, and health problems. Therefore, huge investments and efforts have been made by governments and international institutions to find new renewable and clean sources of energy. As a contribution to these efforts, this study determined the practical energy and environmental implications of replacing conventional speed humps with energy-harvesting speed humps in Nablus city, Palestine. The study was implemented using an energy-harvesting speed hump (EHSH) system developed in the laboratories at An-Najah National University and based on comprehensive traffic volume counts at all speed humps’ locations. In addition, a traffic volume prediction model was developed in order to determine the implications over the next 10 years. As a result of the study, the expected annual amount of generated energy was determined. Moreover, the expected reduction in greenhouse gas (GHG) emissions and the reduction in the cost of roadway network lighting were determined based on the current and future traffic conditions.

scholarly journals STeroids Against Radiculopathy (STAR) trial: a statistical analysis plan

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Bastiaan C. ter Meulen ◽  
Johanna M. van Dongen ◽  
Marinus van der Vegt ◽  
Henry C. Weinstein ◽  
Raymond W. J. G. Ostelo
Keyword(s):  
Statistical Analysis ◽  
Cost Effectiveness ◽  
Intervention Group ◽  
Statistical Analysis Plan ◽  
Pain Medication ◽  
Oral Pain ◽  
Oral Pain Medication ◽  
Group 2 ◽  
The Cost ◽  
Star Trial

Abstract Background Transforaminal epidural injections with steroids (TESI) are used increasingly for patients with sciatica. However, their safety, effectiveness, and cost-effectiveness are still a matter of debate. This a priori statistical analysis plan describes the methodology of the analysis for the STAR trial that assesses the (cost-)effectiveness of TESI during the acute stage of sciatica (< 8 weeks). Methods The STAR trial is a multicentre, randomized controlled, prospective trial (RCT) investigating the (cost-)effectiveness of TESI by making a three-group comparison among patients with acute sciatica due to a herniated lumbar disc (< 8 weeks): (1) TESI combined with levobupivacaine added to oral pain medication (intervention group 1) versus oral pain medication alone (control group), (2) intervention group 1 versus transforaminal epidural injection with levobupivacaine and saline solution added to oral pain medication (intervention group 2), and (3) intervention group 2 versus control group. Co-primary outcomes were physical functioning (Roland Morris Disability Questionnaire), pain intensity (10-point numerical rating scale), and global perceived recovery (7-point Likert scale, dichotomized into ‘recovered’ and ‘not recovered’). For all three comparisons, we defined the following minimal clinically relevant between-group differences: two points for pain intensity (range 0–10), four points for physical functioning (range 0–24) and a 20% difference in recovery rate. Secondary outcomes are health-related quality of life (EQ-5D-5L) and patient satisfaction (7-point Likert scale) and surgery rate. We also collected resource use data to perform an economic evaluation. Analyses will be conducted by intention-to-treat with p < 0.05 (two-tailed) for all three comparisons. Effects will be estimated using mixed models by maximum likelihood. For each comparison, mean differences, or difference in proportions, between groups will be tested per time point and an overall mean difference, or difference in proportions, between groups during the complete duration of follow-up (6 months) will be estimated. In the economic evaluation, Multivariate Imputation by Chained Equations will be used to handle missing data. Cost and effect differences will be estimated using seemingly unrelated regression, and uncertainty will be estimated using bootstrapping techniques. Discussion This statistical analysis plan provides detailed information on the intended analysis of the STAR trial, which aims to deliver evidence about the (cost-)effectiveness of TESI during the acute phase of sciatica (< 8 weeks). Trial registration Dutch National trial register NTR4457 (6 March 2014)

The Study of Fuel-Saving Technology of GSI

2014 ◽  
Vol 1070-1072 ◽  
pp. 392-397
Author(s):  
Jun Hui Xu ◽  
Ming Qiu Gao ◽  
Ji Qiang Gao ◽  
Xiang Bao
Keyword(s):  
Fuel Consumption ◽  
Fuel Economy ◽  
Rolling Resistance ◽  
Fuel Saving ◽  
Pressure Monitoring ◽  
Tire Pressure ◽  
Engine Efficiency ◽  
Tire Pressure Monitoring System ◽  
The Eu

In the background of the main technologies of fuel economy in automobiles developed to a certain stage, it is necessary to reduce fuel consumption and increase the engine efficiency by developing other auxiliary technologies such as improving the ratio of pure energy drive, low rolling resistance tires, tire pressure monitoring system and gear shift indicators (GSI). This article introduces the principle of GSI, analyses how GSI works in improving engine efficiency, and then evaluates the method for determination of the relative saving rate of fuel consumption, which method was introduced in the EU regulation EC No. 65/2012.

Low Cost Engine Management System (EMS) for the Cost Sensitive Two-Wheeler Application: Idle Speed and A/F Ratio Control Using PID and Fuzzy Logic Control Algorithms

2007 ◽  
Author(s):  
P. V. Manivannan ◽  
A. Ramesh
Keyword(s):  
Fuzzy Logic ◽  
Fuel Consumption ◽  
Fuzzy Logic Controller ◽  
Low Cost ◽  
Engine Management System ◽  
Position Sensor ◽  
Idle Speed ◽  
The Cost ◽  
Two Wheeler ◽  
Speed Fluctuations

In this work an Engine Management System (EMS) using a low cost 8-bit microcontroller specifically for the cost sensitive small two-wheeler application was designed and developed. Only the Throttle Position Sensor (TPS) and the cam position sensor (also used for speed measurement) were used. A small capacity 125CC four stroke two-wheeler was converted into a Port Fuel Injected (PFI) engine and was coupled to a fully instrumented Eddy Current Dynamometer. Air-fuel ratio was controlled using the open loop, lookup-table [speed (N) and throttle (α)] based technique. Spark Time was controlled using a proportional / fuzzy logic based close loop control algorithm for the idle speed control to reduce fuel consumption and emissions. Test results show a significant improvement in engine performance over the original carbureted engine, in terms of fuel consumption, emissions and idle speed fluctuations. The Proportional controller resulted in significantly lower speed fluctuations and HC / CO emissions than the fuzzy logic controller. Though the fuzzy logic controller resulted in low cycle by cycle variations than the original carbureted engine, it leads to significantly higher HC levels. The performance fuzzy logic can be improved by modifying the membership function shapes with more engine test data.

scholarly journals Fuel Consumption Prediction for Construction Trucks: A Noninvasive Approach Using Dedicated Sensors and Machine Learning

2021 ◽  
Vol 6 (11) ◽  
pp. 157
Author(s):  
Gonçalo Pereira ◽  
Manuel Parente ◽  
João Moutinho ◽  
Manuel Sampaio
Keyword(s):  
Machine Learning ◽  
Fuel Consumption ◽  
Great Variability ◽  
Accurate Estimation ◽  
Estimation Model ◽  
Digital Twins ◽  
Significant Step ◽  
The Cost ◽  
Consumption Prediction ◽  
Insight Into

Decision support and optimization tools to be used in construction often require an accurate estimation of the cost variables to maximize their benefit. Heavy machinery is traditionally one of the greatest costs to consider mainly due to fuel consumption. These typically diesel-powered machines have a great variability of fuel consumption depending on the scenario of utilization. This paper describes the creation of a framework aiming to estimate the fuel consumption of construction trucks depending on the carried load, the slope, the distance, and the pavement type. Having a more accurate estimation will increase the benefit of these optimization tools. The fuel consumption estimation model was developed using Machine Learning (ML) algorithms supported by data, which were gathered through several sensors, in a specially designed datalogger with wireless communication and opportunistic synchronization, in a real context experiment. The results demonstrated the viability of the method, providing important insight into the advantages associated with the combination of sensorization and the machine learning models in a real-world construction setting. Ultimately, this study comprises a significant step towards the achievement of IoT implementation from a Construction 4.0 viewpoint, especially when considering its potential for real-time and digital twins applications.

scholarly journals Analysis of Fairness Limit on Fuel Oil Consumption of TwoTail Test Based Excavator and Dump Truck A Case Study in PT XYZ

2020 ◽  
Vol 1 (1) ◽  
pp. 6-12
Author(s):  
Bella Puspa Octaviania ◽  
Supriyadi ◽  
Ambran Hartono
Keyword(s):  
Fuel Consumption ◽  
Statistical Approach ◽  
Fuel Oil ◽  
Dump Truck ◽  
Oil Consumption ◽  
Mining Operations

A lack of method to find out the fairness limit of fuel consumption in mining operations enables statistical approach with two-tail test be applied to observe the fairness limit of actual fuel oil consumption compared to the manual handbook of its equipment. Fuel consumption according to the manual handbook for EXCA LIEBHERR 9350 excavator is 207.23 liters/hour and EXCA HITACHI 2500 is 191.51 liters/hour, while CATERPILLAR 777D Dump Truck is 36-53 liters/hour consider as low, 53-73, 8 liters/hour medium, and 73.8-96.5 liters/hour as high. This statistical approach has been carried out after fulfilling the concept of mechanized earth-moving. As a result, the differences in fuel consumption of LIEBHERR 9350 and HITACHI 2500 are 3.72% and 3.26%, which are still in range of a reasonable fuel consumption limit, while CAT 777D operating on LIEBHERR 9350 and CAT 777D operating on HITACHI 2500, each shows a difference in fuel consumption. The differences are 29.65%, meaning that it has exceeded the reasonable limits of fuel consumption and 7.15%, meaning that it is still in range of a reasonable fuel consumption limit.

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