Technique of assessment of technical condition of pump units according to the levels of vibration and energy efficiency indicators

2018 ◽  
Vol 96 (7) ◽  
pp. 52-58
Author(s):  
V. Popov ◽  
V. Shlihta
Keyword(s):  
Energy Efficiency ◽  
Technical Condition ◽  
Efficiency Indicators

scholarly journals Prognostic Assessment of the Performance Parameters for the Industrial Diesel Engines Operated with Microalgae Oil

2021 ◽  
Vol 13 (11) ◽  
pp. 6482
Author(s):  
Sergejus Lebedevas ◽  
Laurencas Raslavičius
Keyword(s):  
Energy Efficiency ◽  
Diesel Engine ◽  
High Speed ◽  
Performance Parameters ◽  
Prognostic Assessment ◽  
High Speed Diesel ◽  
Microalgae Oil ◽  
The Difference ◽  
Smoke Opacity ◽  
Efficiency Indicators

A study conducted on the high-speed diesel engine (bore/stroke: 79.5/95.5 mm; 66 kW) running with microalgae oil (MAO100) and diesel fuel (D100) showed that, based on Wibe parameters (m and φz), the difference in numerical values of combustion characteristics was ~10% and, in turn, resulted in close energy efficiency indicators (ηi) for both fuels and the possibility to enhance the NOx-smoke opacity trade-off. A comparative analysis by mathematical modeling of energy and traction characteristics for the universal multi-purpose diesel engine CAT 3512B HB-SC (1200 kW, 1800 min−1) confirmed the earlier assumption: at the regimes of external speed characteristics, the difference in Pme and ηi for MAO100 and D100 did not exceeded 0.7–2.0% and 2–4%, respectively. With the refinement and development of the interim concept, the model led to the prognostic evaluation of the suitability of MAO100 as fuel for the FPT Industrial Cursor 13 engine (353 kW, 6-cylinders, common-rail) family. For the selected value of the indicated efficiency ηi = 0.48–0.49, two different combinations of φz and m parameters (φz = 60–70 degCA, m = 0.5 and φz = 60 degCA, m = 1) may be practically realized to achieve the desirable level of maximum combustion pressure Pmax = 130–150 bar (at α~2.0). When switching from diesel to MAO100, it is expected that the ηi will drop by 2–3%, however, an existing reserve in Pmax that comprises 5–7% will open up room for further optimization of energy efficiency and emission indicators.

scholarly journals Mining Equipment Technical Condition Monitoring

2018 ◽  
Vol 41 ◽  
pp. 03020 ◽  
Author(s):  
Evgeny Kuzin ◽  
Vladimir Bakin ◽  
Dmitriy Dubinkin
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Condition Monitoring ◽  
Technical Condition ◽  
Process Equipment ◽  
Mining Equipment ◽  
The Earth ◽  
Vibration Parameters ◽  
Reducing Energy

The Earth, being the main object and operational basis for mining, is exposed to the greatest impact because of extracting minerals. Protection of elements of the biosphere, including subsoil, should provide for the provision of scientifically based and economically justified completeness and complexity of use. The article discusses the need to monitor the technical condition of mining equipment, as applied to assessing its technical condition and reducing energy consumption by this equipment. The dependence of energy consumption on vibration parameters and temperature of equipment surfaces is shown. The data of the results of vibration parameters monitoring are given. Criteria are given for estimating the energy efficiency of operation of process equipment and, accordingly, the influence of these parameters on the environment.

scholarly journals Fallacies of energy efficiency indicators: Recognizing the complexity of the metabolic pattern of the economy

Energy Policy ◽  
2020 ◽  
Vol 137 ◽  
pp. 111089 ◽  
Author(s):  
Raúl Velasco-Fernández ◽  
Tessa Dunlop ◽  
Mario Giampietro
Keyword(s):  
Energy Efficiency ◽  
Metabolic Pattern ◽  
Efficiency Indicators

scholarly journals The use of correlation and regression analysis for assessment of the energy effectiveness of the dc electric locomotives auxiliary equipment

2018 ◽  
Vol 239 ◽  
pp. 01038 ◽  
Author(s):  
Stanislav Istomin
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Electricity Consumption ◽  
Technical Condition ◽  
Rolling Stock ◽  
Multiple Regression Equation ◽  
Electric Locomotive ◽  
Distribution Law ◽  
Auxiliary Equipment ◽  
Environment Temperature

Through additional processing of the modern movement parameter recorders data of the DC electric locomotive 2ES6 the article first presents the results of the actual consumption of electricity for own needs and the proportion of these costs from the consumption of trains traction is determined, which in terms of operational depot is difficult to implement. The estimation of influencing factors on the energy consumption for own needs of 2ES6 series electric locomotives is made. As a result it was found that the internal energy consumption is influenced by such factors as rolling stock mass, axle load and environment temperature. Statistic models were made to normalize internal electricity consumption and their quality estimation was fulfilled. It is found that the remainders of the multiple regression equation, which take the above factors into account, obey the normal distribution law, indicating the adequacy of their further use to assess the energy efficiency of the 2ES6 series DC electric locomotives auxiliary equipment. The use of regression models will allow to identify electric locomotives with auxiliary equipment with low energy efficiency and to send them to unscheduled repairs in time to restore the required technical condition.

scholarly journals Review of the existing energy labelling systems and a proposal for rail vehicles

2020 ◽  
pp. 095440972092636
Author(s):  
Zhendong Liu ◽  
Mats Berg ◽  
Tohmmy Bustad
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
High Energy ◽  
Rail Transport ◽  
Transport Sector ◽  
Rail Vehicles ◽  
Low Emission ◽  
Energy Labelling ◽  
Efficiency Indicators ◽  
Labelling System

Improving energy efficiency and reducing CO2 emissions are becoming very essential worldwide. To encourage the development and application of energy-efficient and low-emission technologies and to increase people's awareness of energy-saving, many energy labelling systems are developed and utilized in most countries. Since energy labelling systems have a significant impact, more and more sectors are developing their energy labelling systems to have their products included. Globally, the transport sector consumes a great proportion of energy and is responsible for considerable CO2 emissions. Although rail vehicles have relatively high energy efficiency, a labelling system has not been developed in the railway sector, whereas other modes of transport have developed energy efficiency indicators or energy labelling systems. Therefore, it is necessary to develop an energy labelling system for rail vehicles to promote rail transport and develop the technology of rail vehicles. First, this paper gives a review of the existing energy labelling systems. Second, it summarizes the rail needs and rail stakeholders’ interests regarding energy efficiency and corresponding labelling. Last but not least, a proposal for an energy labelling system for rail vehicles is given.

Data and Energy Efficiency Indicators of Freight Transport Sector in Mexico

2021 ◽  
Author(s):  
Edgar Sandoval-García ◽  
Yasuhiro Matsumoto Kuwabara ◽  
Diana Sánchez-Partida
Keyword(s):  
Energy Efficiency ◽  
Freight Transport ◽  
Transport Sector ◽  
Efficiency Indicators
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