scholarly journals Assessment of energy system management - the case study of Kazakhstan

2019 ◽  
Vol 135 ◽  
pp. 04056 ◽  
Author(s):  
Galimkair Mutanov ◽  
Sayabek Ziyadin

The article discusses the relevance of the problem of energy efficiency of industrial enterprises, along with increasing environmental safety of production and increasing social responsibility. The technique of estimation of production efficiency and its influence in management of ecological system on the basis of energy-entropy method is considered. Relevant questions are: improvement of the universal principles of energy efficiency in specific sectors and to develop tools of economic analysis energy infrastructure of industrial enterprises on the basis of the energy-entropy method using various ratios and find new ways of efficient use of energy. The purpose of this article is to develop new methods for assessing the efficiency of production and management. The problem is largely actualized by the fact that at present the question of assessing the effectiveness of energy systems management.

2013 ◽  
Vol 769 ◽  
pp. 319-326 ◽  
Author(s):  
Martin Beck ◽  
Tilo Sielaff

Industrial enterprises are increasingly driven to tap the potentials of energy efficiency in existing and future production sites. The challenge is to identify cost-efficient levers for a low energy demand in the linked energy system of production machines and peripheral devices. Considering enabling technologies for energy efficiency and energy recovery in a cascaded energy network with energy storages this paper presents an approach towards energy and cost-efficient system configurations for production sites. An outlook will be given on the research center eta-factory for energy efficient factories at the PTW, TU Darmstadt.


Author(s):  
Ekomenzoge Metuge ◽  
José Ramón Otegi Olaso

During the European unification process, they stated the need for drawing up a common energy strategic plan that will affects electricity production system in terms of infrastructure, production and generation. The EU strategic action plans included; reduction in emissions, an increase in renewable energies, energy efficiency. In this light therefore the energy efficiency was booked for researching. This article presents an in-depth study of the challenges in transforming a functioning PMO model to an EPMO model within four electricity companies from different countries within the EU and how those challenges can be address within companies implementing same methodology to bring about electricity production efficiency. Will these identified challenges make it impossible for the companies to achieve electricity production efficiency in the transformation from PMO to EPMO? PMO has been the major methodology used by these companies. To achieve production efficiency, the need for a heavyweight methodology was identified (EPMO) and implemented in four mega electricity producing companies with cross boarder distributions, one from France; Germany; Spain and UK


2020 ◽  
Vol 21 (3) ◽  
pp. 175-195
Author(s):  
Anatoly P. Dzyuba ◽  
Irina A. Solovyeva

Intensive development of technologies that increase energy efficiency makes the global and the Russian industry consider the introduction of demand-side management mechanisms. Though demand-side management technologies in Russia are at the early stages of introduc tion, existing mechanisms of electricity and natural gas supply allow consumers to reduce their costs and result in equalization of the demand for energy across the entire energy system. The research objective is to explore the energy tariffs in the wholesale and retail markets and mecha nisms for supplying natural gas by regional contractors as well as using the commodity exchange. The authors design mechanisms for industrial consumers to choose the most efficient options to pay for energy resources using the criterion of demand-side management. The research method ology includes the theory of industrial markets and a problem-oriented approach. The authors apply analysis, synthesis, system analysis, statistical methods. Yielded results of the research into programmes on demand-side management administered in different countries enable the authors to prove that the most efficient direction for demand-side management development in Russia is economic norm setting. Within this direction the authors develop algorithms and decision-making matrices for choosing the most efficient tariff option to buy electricity and natural gas by industrial consumers. The researchers evidence the possibility of implement ing demand-side management on energy markets of Russia and provide methodological and organisational support. The findings can be helpful for industrial enterprises and government agencies developing and running their energy efficiency improvement programs.


2019 ◽  
Vol 17 ◽  
pp. 550-554 ◽  
Author(s):  
I. Riverón ◽  
◽  
J.F. Gómez ◽  
B. González ◽  
J. Albino Méndez

2019 ◽  
pp. 3-17
Author(s):  
Turatbek Kasymov

This article reviews energy consumption in the Kyrgyz Republic economy, environmental indicators and strategies to further develop the national fuel and energy system to ensure energy efficiency and energy saving. An existing situation in energy efficiency of buildings in the country is described. Secondary legislation and by-laws approved by the Government of the Kyrgyz Republic as well as several technical standards, norms, methods and guidelines approved by the order of the State Construction Agency of the Kyrgyz Republic are presented. Applying modern insulating materials are suggested as possible solutions to increase energy efficiency and energy saving. The advantages of EPS-beton in comparison with other thermal insulation materials are discussed and foreign experience of use of EPS-beton products in increasing energy efficiency of buildings is presented.


2016 ◽  
Vol 10 (1) ◽  
pp. 99-117 ◽  
Author(s):  
Alberto De Marco ◽  
Giulio Mangano ◽  
Fania Valeria Michelucci ◽  
Giovanni Zenezini

Purpose – The purpose of this paper is to suggest the usage of the project finance (PF) scheme as a suitable mechanism to fund energy efficiency projects at the urban scale and present its advantages and adoption barriers. Design/methodology/approach – A case study is developed to renew the traffic lighting system of an Italian town via replacement of the old lamps with new light-emitting diode (LED) technology. Several partners are involved in the case project to construct a viable PF arrangement. Findings – The case study presents the viability of the proposed PF scheme that provides for acceptable financial returns and bankability. However, it also shows that the need for short concession periods may call for a public contribution to the initial funding to make the project more attractive to private investors. Practical implications – This case study is a useful guideline for governments and promoters to using the PF arrangement to fund energy efficiency investments in urban settings. It helps designing an appropriate PF scheme and understanding the advantages of PF to reduce risk and, consequently, increase the debt leverage and profitability of energy efficiency projects. Originality/value – This paper contributes to bridging the gap about the lack of works addressing the implementation of the PF mechanism in the energy efficiency sector in urban areas. The importance of this paper is also associated with the shortage of traditional public finance faced by many cities that forces to seek for alternate forms of financing.


Symmetry ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1063 ◽  
Author(s):  
Horng-Lin Shieh ◽  
Fu-Hsien Chen

Energy efficiency and renewable energy are the two main research topics for sustainable energy. In the past ten years, countries around the world have invested a lot of manpower into new energy research. However, in addition to new energy development, energy efficiency technologies need to be emphasized to promote production efficiency and reduce environmental pollution. In order to improve power production efficiency, an integrated solution regarding the issue of electric power load forecasting was proposed in this study. The solution proposed was to, in combination with persistence and search algorithms, establish a new integrated ultra-short-term electric power load forecasting method based on the adaptive-network-based fuzzy inference system (ANFIS) and back-propagation neural network (BPN), which can be applied in forecasting electric power load in Taiwan. The research methodology used in this paper was mainly to acquire and process the all-day electric power load data of Taiwan Power and execute preliminary forecasting values of the electric power load by applying ANFIS, BPN and persistence. The preliminary forecasting values of the electric power load obtained therefrom were called suboptimal solutions and finally the optimal weighted value was determined by applying a search algorithm through integrating the above three methods by weighting. In this paper, the optimal electric power load value was forecasted based on the weighted value obtained therefrom. It was proven through experimental results that the solution proposed in this paper can be used to accurately forecast electric power load, with a minimal error.


Smart Cities ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 1039-1057
Author(s):  
Amro M. Farid ◽  
Asha Viswanath ◽  
Reem Al-Junaibi ◽  
Deema Allan ◽  
Thomas J. T. Van der Van der Wardt

Recently, electric vehicles (EV) have gained much attention as a potential enabling technology to support CO2 emissions reduction targets. Relative to their internal combustion vehicle counterparts, EVs consume less energy per unit distance, and add the benefit of not emitting any carbon dioxide in operation and instead shift their emissions to the existing local fleet of power generation. However, the true success of EVs depends on their successful integration with the supporting infrastructure systems. Building upon the recently published methodology for the same purpose, this paper presents a “systems-of-systems” case study assessing the impacts of EVs on these three systems in the context of Abu Dhabi. For the physical transportation system, a microscopic discrete-time traffic operations simulator is used to predict the kinematic state of the EV fleet over the duration of one day. For the impact on the intelligent transportation system (ITS), the integration of EVs into Abu Dhabi is studied using a multi-domain matrix (MDM) of the Abu Dhabi Department of Transportation ITS. Finally, for the impact on the electric power system, the EV traffic flow patterns from the CMS are used to calculate the timing and magnitude of charging loads. The paper concludes with the need for an intelligent transportation-energy system (ITES) which would coordinate traffic and energy management functionality.


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