scholarly journals Methods of determination of product energy intensity on the example of a grain elevator

Author(s):  
V. Korenda ◽  
◽  
O. Protasov ◽  
I. Vyshniakov ◽  
M. Kolyadyuk ◽  
...  

Energy management is an independent type of professional activity aimed at achieving in the course of any business activity of an enterprise operating in market conditions, reducing costs by improving energy efficiency. Energy management includes a set of measures aimed at saving energy resources: monitoring of energy consumption and energy intensity of products, development of energy budgets, analysis of existing indicators as a basis for drawing up new budgets, development of energy policy, planning of new energy saving measures. This article describes the methodology for determining the energy intensity of products for industrial enterprises, namely energy intensity indicators. These values include: norms of consumption of heat and electricity per unit of industrial production, as well as norms of consumption of fuel and electricity for the supply of heat to the boiler plant of the enterprise. These numbers are indicators of energy efficiency that need to be calculated when implementing energy management systems at enterprises. They are the benchmarks by which the current state of energy efficiency is assessed and planned for the future, taking into account changes in output, implementation or dismantling of equipment, implementation of energy-saving measures, etc. The article shows the calculation of energy consumption of products by the example of a grain elevator.

Author(s):  
Людмила Федоськина ◽  
Lyudmila Fedoskina ◽  
Евгений Абрамов ◽  
Eugene Abramov

The monograph examines the trends and prospects of energy efficiency management of industrial enterprises, taking into account international and domestic experience. Theoretical and methodological provisions in the field of energy efficiency management are considered and practical approaches to the formation of energy management systems based on the requirements of international and national standards ISO 50001 taking into account the Russian practice of energy saving and energy efficiency management are proposed. For researchers dealing with energy efficiency management of enterprises


Sensor Review ◽  
2014 ◽  
Vol 34 (2) ◽  
pp. 170-181 ◽  
Author(s):  
David Robinson ◽  
David Adrian Sanders ◽  
Ebrahim Mazharsolook

Purpose – This paper aims to describe research work to create an innovative, and intelligent solution for energy efficiency optimisation. Design/methodology/approach – A novel approach is taken to energy consumption monitoring by using ambient intelligence (AmI), extended data sets and knowledge management (KM) technologies. These are combined to create a decision support system as an innovative add-on to currently used energy management systems. Standard energy consumption data are complemented by information from AmI systems from both environment-ambient and process ambient sources and processed within a service-oriented-architecture-based platform. The new platform allows for building of different energy efficiency software services using measured and processed data. Four were selected for the system prototypes: condition-based energy consumption warning, online diagnostics of energy-related problems, support to manufacturing process lines installation and ramp-up phase, and continuous improvement/optimisation of energy efficiency. Findings – An innovative and intelligent solution for energy efficiency optimisation is demonstrated in two typical manufacturing companies, within one case study. Energy efficiency is improved and the novel approach using AmI with KM technologies is shown to work well as an add-on to currently used energy management systems. Research limitations/implications – The decision support systems are only at the prototype stage. These systems improved on existing energy management systems. The system functionalities have only been trialled in two manufacturing companies (the one case study is described). Practical implications – A decision support system has been created as an innovative add-on to currently used energy management systems and energy efficiency software services are developed as the front end of the system. Energy efficiency is improved. Originality/value – For the first time, research work has moved into industry to optimise energy efficiency using AmI, extended data sets and KM technologies. An AmI monitoring system for energy consumption is presented that is intended for use in manufacturing companies to provide comprehensive information about energy use, and knowledge-based support for improvements in energy efficiency. The services interactively provide suggestions for appropriate actions for energy problem elimination and energy efficiency increase. The system functionalities were trialled in two typical manufacturing companies, within one case study described in the paper.


2013 ◽  
Vol 869-870 ◽  
pp. 997-1000
Author(s):  
Jing Jing Zhang ◽  
Jian Cheng Kang ◽  
Hao Zhang

Based on the energy consumption and the output value data of the 6 small heavy industrial enterprises during 2007-2011 in Shanghai, we calculated comprehensive energy consumption, carbon emissions, carbon intensity and energy intensity of these enterprises. It been found that the comprehensive energy consumption and the carbon emissions of the 6 small enterprises are in a fluctuating growth trend but the energy intensity and the carbon intensity show a trend of fluctuating downward. The energy intensity and the carbon intensity of the small enterprises are much larger than the average of the two whole industries in Shanghai. We analyzed the correlation coefficients between the output value and the energy consumption as well as between the output value and the carbon emissions. The results show that the comprehensive energy consumption and the carbon emissions have positive correlation as well as the carbon emissions and the output value.


2013 ◽  
Vol 421 ◽  
pp. 910-916
Author(s):  
Xu Wu ◽  
Shuang Lang ◽  
Xiao Qing Guo

This article proposes using passenger transportation energy intensity to measure the energy utility efficiency and energy-saving potential of the passenger transportation, uses the complete decomposition model to decompose the passenger transportation energy intensity from 1990 to 2007, and then investigate how various factors impact passenger transportation energy intensity. As is shown in the results, transportation structure increases passenger transportation energy intensity, while energy efficiency decreases it, however the decline is limited. Thus energy saving caused by adjustment of transportation structure is much more considerable.


Author(s):  
Petro Pererva ◽  
Tetiana Kobielieva ◽  
Oleksandra Kosenko ◽  
Victoria Matrosova ◽  
Valerii Kobieliev

The article substantiates the necessity and relevance of the introduction of progressive energy efficiency systems at industrial enterprises. It is shown that in Ukraine in 2020 only 43.1% of energy resources are used efficiently, according to the data of the energy efficiency rating. In 2019, this figure was higher - 54%. The analysis of the use of energy resources in industry, services, agriculture and the housing sector in Ukraine, as well as in the countries of the European Union. The issues of organizing energy efficiency benchmarking for industrial enterprises of Ukraine are considered. The main attention is paid to an integrated approach, which consists in creating a regulatory framework and organizing information support during benchmarking. The experience of the EU countries in solving the problem of technical regulation of energy efficiency benchmarking and the possibility of its use in international entrepreneurship is considered. Only the main stages of energy saving benchmarking are considered in detail, which include: selection of a benchmark, comparison and assessment, positioning of the research object and determination of leaders and outsiders, grouping benchmarking partners by energy efficiency level, identification of the gap, identification of the causes of inefficient energy consumption, determination of the scale and nature of the problem. The introduction of an energy efficiency benchmarking system on a regular basis as a control and planning subsystem as part of an energy management system will make it possible to track changes in the energy efficiency indicators of the production system and its structural objects, the level of energy efficiency over time, negative trends and causes of their occurrence, to assess the effectiveness of adaptation of the best principles of efficient energy consumption in own conditions and the effectiveness of the implementation of energy-saving measures, which will contribute to the continuous improvement of the production system and its facilities.


2019 ◽  
Vol 1 (2) ◽  
pp. 73-82
Author(s):  
D. A. Zhiganov

Subject: automated energy management systems.Purpose: identification of the main prospects for the use of automated energy management systems.Materials and methods: in Russia each year, due to the scornful attitude towards energy saving, about 400 million tons of reference fuel are lost, while only every third company approaches the energy efficiency systemically. Savings of fuel and energy resources largely depend on the proper organization and feasibility of rationing fuel and energy costs. One of the priorities of the strategy of transition to energy-efficient production is to carry out systematic work on the implementation of a system of resource and energy saving — the formation of the energy policy of the enterprise. The introduction and development of energy metering systems (AIIS TUE) for the sake of increasing the transparency of consumption and distribution of energy resources is an integral part of the implementation of the company’s energy policy. Minimizing the influence of the human factor at all stages is easily amenable to mathematical description and, accordingly, automation. The paper shows that without automation of management processes and monitoring energy efficiency it is impossible to count on success. The main stages of the implementation of the energy management system at the enterprise are given.Results: it is shown that the main result of the introduction of an automated energy management system is to reduce costs by more than 10 %, with the identified potential for further savings of at least 15...20 %, which is achieved by cre­ating a completely transparent energy consumption environment, with its characteristic reliability determined efficiency of the processed information.Conclusions: automated energy management can become the core in which all information flows from all management systems that have an impact on energy efficiency will be consolidated. Properly constructed automated energy manage­ment systems are a universal tool for implementing the energy policy of an enterprise, a serious investment with a clear payback horizon and an positive financial result over a long period.


2012 ◽  
Vol 601 ◽  
pp. 437-448
Author(s):  
Chun Yan Dai ◽  
Xi Liang Zhang ◽  
En Chuang Wang ◽  
Zhen Liu ◽  
Ming Hui Li ◽  
...  

Analysed various influence factors of unit GDP energy consumption, discussed the mathematical decomposition and calculation method and did empirical analysis of the influence and role on unit GDP energy consumption changes since “The Fifth Five-Year Plan”.The main conclusions are:(1) the drop of the energy efficiency is caused both by technical factors and structural factors , in which structural factors being the fundamental reason during the Eleventh Five-Year period. (2) technological energy saving is the main direct driving force of the dramatic decrease in energy intensity of China , and the alternation of structural energy saving from negative to positive is the crucial factor determining the dramatic decrease of the energy intensity of China ,and energy-saving in livelihood is a stable impetus for improving China energy efficiency improvement in the Eleventh Five-Year period .The research provided the methodological foundation for exploring the specific ways to achieve the energy efficiency goal of “The Twelfth Five-Year Plan” and also to provide a reference for the policy making of “The Twelfth Five-Year Plan” energy efficiency.


2015 ◽  
Vol 35 (3) ◽  
pp. 234-248 ◽  
Author(s):  
David Charles Robinson ◽  
David Adrian Sanders ◽  
Ebrahim Mazharsolook

Purpose – This paper aims to describe the creation of innovative and intelligent systems to optimise energy efficiency in manufacturing. The systems monitor energy consumption using ambient intelligence (AmI) and knowledge management (KM) technologies. Together they create a decision support system as an innovative add-on to currently used energy management systems. Design/methodology/approach – Energy consumption data (ECD) are processed within a service-oriented architecture-based platform. The platform provides condition-based energy consumption warning, online diagnostics of energy-related problems, support to manufacturing process lines installation and ramp-up phase and continuous improvement/optimisation of energy efficiency. The systems monitor energy consumption using AmI and KM technologies. Together they create a decision support system as an innovative add-on to currently used energy management systems. Findings – The systems produce an improvement in energy efficiency in manufacturing small- and medium-sized enterprises (SMEs). The systems provide more comprehensive information about energy use and some knowledge-based support. Research limitations/implications – Prototype systems were trialled in a manufacturing company that produces mooring chains for the offshore oil and gas industry, an energy intensive manufacturing operation. The paper describes a case study involving energy-intensive processes that addressed different manufacturing concepts and involved the manufacture of mooring chains for offshore platforms. The system was developed to support online detection of energy efficiency problems. Practical implications – Energy efficiency can be optimised in assembly and manufacturing processes. The systems produce an improvement in energy efficiency in manufacturing SMEs. The systems provide more comprehensive information about energy use and some knowledge-based support. Social implications – This research addresses two of the most critical problems in energy management in industrial production technologies: how to efficiently and promptly acquire and provide information online for optimising energy consumption and how to effectively use such knowledge to support decision making. Originality/value – This research was inspired by the need for industry to have effective tools for energy efficiency, and that opportunities for industry to take up energy efficiency measures are mostly not carried out. The research combined AmI and KM technologies and involved new uses of sensors, including wireless intelligent sensor networks, to measure environment parameters and conditions as well as to process performance and behaviour aspects, such as material flow using smart tags in highly flexible manufacturing or temperature distribution over machines. The information obtained could be correlated with standard ECD to monitor energy efficiency and identify problems. The new approach can provide effective ways to collect more information to give a new insight into energy consumption within a manufacturing system.


2019 ◽  
Vol 124 ◽  
pp. 04005
Author(s):  
A. I. Shinkevich ◽  
T. V. Malysheva ◽  
I. A. Zaraichenko ◽  
A. A. Lubnina ◽  
G. R. Garipova ◽  
...  

The relevance of the research topic is due to the study of the important problem of improving the energy efficiency of the economy and the meso and micro levels. In the conditions of the development of an innovative economy, energy saving becomes one of the main factors for increasing the economic efficiency and economic security of industrial enterprises and complexes. The article discusses the main aspects of the organization of energy-saving environmental production systems. The factors affecting the energy efficiency of the production process from the standpoint of logistics, including the processes of storage, storage and transportation of products within an industrial enterprise, are summarized. As a criterion of energy saving in logistics chains, the coefficient of consumption of energy resources spent per unit of production is given. The analysis of the dynamics of fuel and energy costs per unit of output by the types of activities of petrochemical plants of the Republic of Tatarstan was carried out. The specificity of the level of fuel and energy costs by type of activity is shown, depending on the specifics of production and products. The variation of energy consumption data by types of petrochemical production activities for 10 years has been calculated. The prospects for reducing the energy intensity of petrochemical enterprises in the context of the liberalization of the market of electric energy and power are considered. The materials of the study can be used in managing the development of the real sector of the economy, the service sector, both at the enterprise services level and in government structures. In addition, the proposed methodology is appropriate for assessing the level of resource-saving production, building innovative energy-saving development strategies, and developing a mechanism for targeted actions for the rational use of resources.


2020 ◽  
Vol 10 (4) ◽  
pp. 174-191
Author(s):  
Iryna Perevozova ◽  
Tetiana Maksimenko ◽  
Svіtlana Bondarenko

The aim of the article is to study the main approaches and develop a methodology for assessing the efficiency of enterprises in the transition to alternative (helio) energy sources. The concepts of the ʻenergy efficiencyʼ and the ʻenergy savingʼ are the main characteristics of efficient use of energy resources. The term "energy efficiency" is a resultant indicator that captures the achieved level of efficiency of consumption and use of fuel and energy resources in the process of enterprise activity. The concept of ʻenergy savingʼ is a process indicator that indicates the way to achieve energy efficiency (implementation of a set of measures) of resource conservation in the enterprise. It is established that the key indicator for assessing the efficiency of the energy consumption system is the energy intensity indicator, the reduction of which should be considered as one of the main tasks in order to increase the efficiency of the enterprise. It is proved that the transition of an industrial enterprise to alternative (helio) energy sources is a guarantee of reducing its energy intensity. Therefore, the issues of implementation of energy saving programs are relevant for industrial enterprises. Energy saving measures will help reduce costs at the enterprise, conserve natural resources. The study found that solar energy in Ukraine in 2019 shows a bright positive trend. The ʻgreen tariffʼ was officially received by stations with a total capacity of 3537.382 MW, which is 5.48 times higher than in 2018. In 2019, the capacity of industrial solar power plants was put into operation 3.5 times more than in all previous years. The amount of electricity produced by industrial plants, in 2019, is 2.66 times higher than in 2018. The transition to alternative energy sources for industrial enterprises is a rather complex technological task, which requires methodological developments for the optimization of energy resources to maximize the efficiency of enterprises. A method for assessing the efficiency of the enterprise in its transition to alternative (helio) energy sources based on the use of production functions and factor models, which include the entire evaluation apparatus and a set of indicators of efficiency (appropriateness) of resource use, i.e. resource conservation. This method of assessing the performance of the enterprise is based on the use of the Cobb-Douglas production function, which allows to justify the decision on the feasibility of the use of production resources and to adjust the deviations of the spent resources from the normative values.


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