Energy efficiency indicator based on entropy production evaluation

2018 ◽  
pp. 88-102
Author(s):  
S. Trebunskikh ◽  
Keyword(s):  
Energy Efficiency ◽  
Entropy Production ◽  
Energy Efficiency Indicator

scholarly journals An Energy Efficiency Indicator and Grading of Shell-and-Tube Heat Exchangers

2020 ◽  
Vol 721 ◽  
pp. 012047
Author(s):  
Kelei Chen ◽  
Guoli Qi ◽  
Xueming Liu ◽  
Jianfei Zhang ◽  
Zhiguo Qu
Keyword(s):  
Energy Efficiency ◽  
Heat Exchangers ◽  
Energy Efficiency Indicator ◽  
Shell And Tube

scholarly journals Energy Efficiency: Indicator, Estimation, and a New Idea

2020 ◽  
Vol 12 (12) ◽  
pp. 4944
Author(s):  
Ku-Hsieh Chen ◽  
Jen-Chi Cheng ◽  
Joe-Ming Lee ◽  
Liou-Yuan Li ◽  
Sheng-Yu Peng
Keyword(s):  
Energy Efficiency ◽  
Controversial Issues ◽  
Policy Makers ◽  
Reliable Tool ◽  
Measuring Efficiency ◽  
Energy Efficiency Indicator ◽  
The Subject ◽  
Definition Of

Energy efficiency has long been an important issue to the global economic and political theaters; however, searching for an effective and concise measure for efficiency remains a contentious and intriguing topic. There are two obvious flaws with the commonly used metrics in existing literature. First, there is a sense of confusion and misunderstanding between the definitions of energy efficiency and efficacy. As a result, the formulae and methods for measuring efficiency are often the subject of criticism. Second, even if the definition of efficiency is clear, the method of estimation can be quite cumbersome, making it difficult to comprehend or implement. This study attempts to address these two issues. With an OECD comparative dataset, it first presents the contradiction between efficiency and efficacy, explains the loss of effectiveness with the existing measurements, and then proposes a new and easy-to-use method for gauging energy efficiency, so that the succinctness and robustness of the measurement can be re-established. The paper serves as a guide to those who are interested in the controversial issues related to measuring energy efficiency. Both practitioners and policy makers will find an easy and reliable tool from this paper for measuring energy efficiency.

Understanding Overall Thermal Transfer Value as a Building Energy Efficiency Indicator

2015 ◽  
Author(s):  
Ayegbusi Olutobi Gbenga ◽  
◽  
Abdullah Sani Ahmad ◽  
Yaik Wah Lim ◽  
Dilshan Remaz Ossen ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Building Energy ◽  
Building Energy Efficiency ◽  
Thermal Transfer ◽  
Energy Efficiency Indicator

Self-instruction in ranking of railway enterprise for energy efficiency

2020 ◽  
pp. 69-80
Author(s):  
V. V. Tsyganov ◽  
◽  
A. A. Roshhin ◽  
Keyword(s):  
Decision Making ◽  
Energy Efficiency ◽  
Adaptive Methods ◽  
Improvement Program ◽  
Ranking Procedure ◽  
Energy Efficiency Improvement ◽  
Suitable Parameter ◽  
Energy Efficiency Indicator ◽  
The Individual ◽  
Self Instruction

Adaptive methods of energy efficiency control are looked upon under ambiguity conditions, based on self-instruction and human factor. The objective of dichotomous ranking of energy efficiency stochastic potential was set and solved in case when its probabilistic characteristics are known. In a reverse situation, it is suggested to use self-instruction for determination of the most suitable parameter of ranking procedure. A case of asymmetrical awareness of a decision-making person about ranking and a personnel responsible for energy efficiency was studied. Herewith, the forward-looking personnel chooses its indicators in such a way that the individual objective function which depends on ranking results , can be maximized. Such activity of the personnel may bring to under-estimation of the energy efficiency indicator as compared to the potential. As a consequence, application of self-instruction may pervert ranking parameter assessment. In order to solve this problem there were suggested self-instruction mechanisms in ranking which simulate personnel management under conditions of ambiguity. The results of these mechanisms functioning are estimates of ranking parameters, norms and ranks, determining personnel stimuli. There were found out appropriate conditions of mechanism synthesis of self-instruction in ranking, when a decision-making person identifies the most suitable parameter of the ranking procedure. These conditions are illustrated with the example of energy efficiency ranking self-instruction of the railway enterprise in the process of realization of «RZD» holding energy efficiency improvement program.

scholarly journals Energy Efficiency Of National Economy: Social, Economic And Ecological Indicators

2020 ◽  
Vol 4 (4) ◽  
pp. 160-174
Author(s):  
Yevheniia Ziabina ◽  
Tetyana Pimonenko ◽  
Luidmyla Starchenko
Keyword(s):  
Energy Efficiency ◽  
Economic Development ◽  
Regression Analysis ◽  
National Economy ◽  
Green Energy ◽  
Economic Indicators ◽  
Strong Impact ◽  
Energy Efficiency Indicator ◽  
The Impact ◽  
The Relationship

The paper aimed to formalise the relationship between the level of Ukrainian energy efficiency from 30 indicators of social, ecological and economic development of the country. The main purpose of the study is to identify the impact and dependence of socio-ecological and economic indicators on the level of energy efficiency using multiple correlation-regression analysis. The systematisation of the analysed results allowed identifying the core directions to overcome the issues of the slow pace of energy efficiency improvement and the development of carbon neutrality of the country. The relevance of this scientific solution to the problem is that the level of energy efficiency is influenced by a large number of socio-ecological and economic factors sometimes independent of each other. The authors analysed the relationship between the level of energy efficiency and socio-ecological and economic indicators of country development. The investigation consisted from the following stages: conducting polynomial-regression analysis of energy efficiency development in Ukraine; development of correlation-regression multiple models of relationships between energy efficiency indicator and socio-ecological-economic indicators; explaining the conclusions and providing recommendations considering the findings. The object of the study was the processes of energy efficiency relationships with 30 indicators of socio-ecological and economic development, namely how much they affect the energy development of the country. The conclusions were theoretical and practical in terms of the impact on the level of energy efficiency of interdisciplinary indicators. The conclusions which proved by the empirical findings allowed identifying weaknesses in the development of the national economy, as well as to improve and increase the energy potential of the country through energy efficiency development strategies due to the studied determinants that have a strong impact on the level of energy efficiency. Keywords: energy efficiency, carbon-free economy, sustainable development, energy sector, green energy, energy security.

Information Management Applied to the Development of the Management Process and Improving Energy Efficiency in Transport

2017 ◽  
pp. 166-179
Author(s):  
Sostenes Bernardes ◽  
Poliana Leite ◽  
Greice Sehren Pesenti ◽  
Edmilson Aparecido Viana ◽  
Vinicius Ladeira ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Information Management ◽  
Diesel Fuel ◽  
Management Process ◽  
Energy Services ◽  
Financial Gain ◽  
Energy Efficiency Indicator ◽  
Standardization Of Procedures

Energy Efficiency (EE) refers to actions of various kinds culminating in reducing the energy needed to meet the demands of society for energy services in the form of light, heat / cold, drive, transport and use in processes. This chapter aims to develop an energy efficiency management process aimed at improving performance of transport companies in relation to diesel consumption, which was applied in Transnordestina Railway. In parallel were developed activity streams for information management, ensuring the standardization of procedures created, more training of staff involved, monitoring of activities and greater ease in obtaining data and information. The result of this work was the implementation of the suggested processes, resulting in reduced spending on diesel fuel consumed by the Transnordestina railroad, improving the energy efficiency indicator by more than 10% and a real financial gain for the company.

scholarly journals Criterion for evaluating vehicle performance

2019 ◽  
Vol 78 (2) ◽  
pp. 96-99
Author(s):  
E. E. KOSSOV ◽  
V. V. ASABIN ◽  
A. G. SILYUTA ◽  
L. E. L. E. KOSSOVA
Keyword(s):  
Energy Efficiency ◽  
Autonomous Vehicle ◽  
Operating Conditions ◽  
Railway Transport ◽  
Vehicle Performance ◽  
Actual Performance ◽  
Operational Energy ◽  
Energy Efficiency Indicator ◽  
Technical Specifications ◽  
And Performance

The article proposes to evaluate the efficiency of an autonomous vehicle, taking into account not only the energy consumption for motion, but also the time of motion, i. e. both factors — efficiency and performance — should be taken into account. As a criterion for evaluating the efficiency of vehicles, authors propose the multiplication of efficiency on performance — the energy efficiency indicator (EEI). The best will be the vehicle with the highest EEI. The indicator should be calculated according to the specified technical characteristics of the vehicle laid down in the technical specifications. This criterion is suitable both for the evaluation of the vehicle during the design and during operation. At the same time, it is possible to evaluate and compare the EEI of technical vehicles not only of railway transport. The article presents the criterion values for water, rail and air transport. Proposed criterion makes it possible to evaluate the change in vehicle efficiency over time due to technical progress. Since 1953, the energy efficiency of a diesel locomotive has increased almost 3 times. To calculate the operational energy efficiency, it is necessary to obtain data on the actual performance of the vehicle. On railway transport, this is data on train work in t·km, speed and fuel consumption. The EEI assessment based on operating data will show how correctly the organization of vehicle operation is built, how non-stationary modes of the power plant and specific modes of traction influence the overall performance of the vehicle, how well the vehicle is selected for these operating conditions.

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