Статті в журналах: "Energy efficiency management system"

1

P, Reznik Nadiia. "Features of the Energy Efficiency Management System of the Enterprise." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (July 25, 2020): 412–18. http://dx.doi.org/10.5373/jardcs/v12sp7/20202123.

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Katzenbach, Rolf, Frithjof Clauss, and Jie Zheng. "Energy Efficiency in Residential Buildings with Well-Established Energy Management Systems." Journal of Clean Energy Technologies 4, no. 3 (2015): 233–36. http://dx.doi.org/10.7763/jocet.2016.v4.287.

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Abdul Wahab, M. S., and N. A. Ramli. "Lighting Control System for Energy Management System and Energy Efficiency Analysis." Journal of Physics: Conference Series 1529 (May 2020): 052022. http://dx.doi.org/10.1088/1742-6596/1529/5/052022.

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4

Nuridddinovich, Mirzoyev Narzullo. "Analogical Model Development Methodology For Mathematical Modeling Of Energy Efficiency Control System." American Journal of Engineering And Techonology 02, no. 10 (October 31, 2020): 55–61. http://dx.doi.org/10.37547/tajet/volume02issue10-10.

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5

Asalomia, Laurențiu Bogdan, and Gheorghe Samoilescu. "Naval Energy Management System." International conference KNOWLEDGE-BASED ORGANIZATION 26, no. 3 (June 1, 2020): 20–25. http://dx.doi.org/10.2478/kbo-2020-0109.

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AbstractThe paper analyses the role of control and monitoring of electro-energetic equipment in order to reduce operational costs, increase profits and reduce carbon emissions. The role of SCADA and EcoStruxure Power systems is presented and analysed taking into account the energy consumption and its savings. The paper presents practical and modern solutions to reduce energy consumption by up to 53%, mass by up to 47% and increase the life of the equipment by adjusting the electrical parameters. The Integrated Navigation System has allowed an automatic control and an efficient management. For ships, the implementation of an energy efficiency design index and new technologies was required for the GREEN SHIP project.

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Hernández, José, Roberto Sanz, Álvaro Corredera, Ricardo Palomar, and Isabel Lacave. "A Fuzzy-Based Building Energy Management System for Energy Efficiency." Buildings 8, no. 2 (January 25, 2018): 14. http://dx.doi.org/10.3390/buildings8020014.

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7

Полетаев, И. Ю. "Objectives of regional energy efficiency management system development." Voprosy regionalnoj ekonomiki, no. 45(4) (December 15, 2020): 59–67. http://dx.doi.org/10.21499/2078-4023-2020-45-4-59-67.

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В статье рассмотрены основные направления технологических мероприятий по повышению энергоэффективности экономики регионов Российской Федерации. Обращается внимание на роль системного подхода к решению вопросов энергоэффективности. Обращается особое внимание на объединение интересов и усилий государственных органов исполнительной власти всех уровней, организаций всех форм собственности и граждан. Показана необходимость создания системы государственного управления эффективностью использования энергоресурсов и сети государственных Координационных центров. Обоснована необходимость законодательного повышения правового статуса существующих региональных центров энергосбережения (энергоэффективности), создав на их базе государственные Координационные центры управления энергоэффективностью с передачей им, полностью или частично, функций и полномочий Федеральной и региональных энергетических комиссий. The article discusses the main directions of technological measures to improve the energy efficiency of the economy of the regions of the Russian Federation. Attention is drawn to the role of a systematic approach to solving energy efficiency issues. Special attention is paid to combining the interests and efforts of state Executive bodies at all levels, organizations of all forms of ownership and country nationals. The necessity of creating a system of state management of energy efficiency and a network of State Coordination centers is shown. The necessity of legislative improvement of the legal status of existing regional energy saving (energy efficiency) centers by creating on their basis state Coordination centers for energy efficiency management with the transfer to them, in whole or in part, of the functions and powers of the Federal and regional energy commissions is justified.

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Jorge, Catarina, Maria do Céu Almeida, and Dídia Covas. "Performance Assessment System for Energy Efficiency in Wastewater Systems." Water 13, no. 13 (June 29, 2021): 1807. http://dx.doi.org/10.3390/w13131807.

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Performance assessment is essential to effectively evaluate and monitor the activity of water utilities, support decision making, and encourage continuous improvement. Performance assessment systems (PAS), covering several service objectives and criteria, have been successfully applied in water supply and wastewater systems. Tailored approaches focusing on the assessment of the energy use and efficiency in wastewater systems are still limited. This paper aims at the development and demonstration of a comprehensive PAS for energy efficiency, tailored for wastewater systems, incorporating criteria related to energy consumption, operation and maintenance (O&M) costs, and environmental impacts, such as untreated discharges and greenhouse gases emissions, among others. Management and control of excessive or undue inflows to these systems is specifically addressed by several novel criteria and metrics. The proposed PAS should be adapted by each utility to be aligned with the objectives of the organisation and with the implemented asset management strategy. The proposed approach and the resulting consolidated PAS are thoroughly described. Results from the application of the PAS to several Portuguese utilities are discussed. This PAS aims at contributing to a reliable and replicable process to assess energy efficiency in wastewater systems and to encourage a more rational energy management.

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Ju, Seung-Hwan, and Hee-Suk Seo. "Data Quality Test Method for Factory Energy Management System." Webology 19, no. 1 (January 20, 2022): 4420–27. http://dx.doi.org/10.14704/web/v19i1/web19291.

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Because data is an important factor in the software industry, how to reliably test data is important. This is even more essential for building Industry 4.0 and smart industrial complexes. This study prepares ISO/IEC 25024-based test methods and guidelines and uses them for energy management at the industrial complex level. In order to provide services by collecting energy data from industrial complexes, it is necessary to verify data quality based on data reliability and compatibility of each plant. Data quality technology needs to conform to ISO TC184/SC4/WG13 (industrial data quality standard) based technology. The study defines the data quality evaluation matrix for the energy management system of industrial parks and factories. It defines five categories and maps detailed indicators to each. The category has three detailed items, which are evaluation items for core requirements, interoperability, and conformity to standards. Each data requirement category covers functionality and reliability, usability and efficiency, and portability as data requirements in the system. Core requirements for system operation such as data consistency are basic evaluation items, and interoperability, which is the semantic compatibility of data for integrated operation of multiple sites, is verified. In addition, data quality is evaluated by verifying standard conformance. Through this evaluation system, the requirements for linking the factory energy management system data with the industrial complex energy management system can be evaluated. This can be used to monitor data quality and develop improvement technologies by developing a master data quality management technology standard suitable for industrial sites.

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10

Lee, Jeong, Jun-Mo Kim, Junsin Yi, and Chung-Yuen Won. "Battery Management System Algorithm for Energy Storage Systems Considering Battery Efficiency." Electronics 10, no. 15 (August 2, 2021): 1859. http://dx.doi.org/10.3390/electronics10151859.

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Aging increases the internal resistance of a battery and reduces its capacity; therefore, energy storage systems (ESSs) require a battery management system (BMS) algorithm that can manage the state of the battery. This paper proposes a battery efficiency calculation formula to manage the battery state. The proposed battery efficiency calculation formula uses the charging time, charging current, and battery capacity. An algorithm that can accurately determine the battery state is proposed by applying the proposed state of charge (SoC) and state of health (SoH) calculations. To reduce the initial error of the Coulomb counting method (CCM), the SoC can be calculated accurately by applying the battery efficiency to the open circuit voltage (OCV). During the charging and discharging process, the internal resistance of a battery increase and the constant current (CC) charging time decrease. The SoH can be predicted from the CC charging time of the battery and the battery efficiency, as proposed in this paper. Furthermore, a safe system is implemented during charging and discharging by applying a fault diagnosis algorithm to reduce the battery efficiency. The validity of the proposed BMS algorithm is demonstrated by applying it in a 3-kW ESS.

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11

Javied, T., T. Rackow, and J. Franke. "Implementing Energy Management System to Increase Energy Efficiency in Manufacturing Companies." Procedia CIRP 26 (2015): 156–61. http://dx.doi.org/10.1016/j.procir.2014.07.057.

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12

Ye, Jian Bin, Zhi Yan Ding, and Qi Zhu. "Design for Urban Rail Transit Energy Efficiency Management System." Advanced Materials Research 749 (August 2013): 629–33. http://dx.doi.org/10.4028/www.scientific.net/amr.749.629.

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With the rapid development of Chinese economy and the speeding up urbanization, urban rail transit has entered a rapid development period, which results in more and more energy consumption. Meanwhile affected by energy source and environment factors, the state has implemented energy-saving emission reduction strategies in various fields, so energy efficient management for urban rail transit becomes more important. Based on the analysis of energy consumption problems in urban rail transit, the paper designs urban rail transit energy efficiency management system from the aspects of overall architecture, service architecture and application function, and provides technical support for the realization of the software system.

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13

Yang, Guanlu, Zehong Huang, Shuyang Wang, and Minxu Wu. "Design and Energy Efficiency Management of Cascade Hydropower System." IOP Conference Series: Earth and Environmental Science 192 (November 5, 2018): 012046. http://dx.doi.org/10.1088/1755-1315/192/1/012046.

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14

Andro-Vasko, James, Wolfgang Bein, and Hiro Ito. "Energy Efficiency and Renewable Energy Management with Multi-State Power-Down Systems." Information 10, no. 2 (January 29, 2019): 44. http://dx.doi.org/10.3390/info10020044.

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A power-down system has an on-state, an off-state, and a finite or infinite number of intermediate states. In the off-state, the system uses no energy and in the on-state energy it is used fully. Intermediate states consume only some fraction of energy but switching back to the on-state comes at a cost. Previous work has mainly focused on asymptotic results for systems with a large number of states. In contrast, the authors study problems with a few states as well as systems with one continuous state. Such systems play a role in energy-efficiency for information technology but are especially important in the management of renewable energy. The authors analyze power-down problems in the framework of online competitive analysis as to obtain performance guarantees in the absence of reliable forecasting. In a discrete case, the authors give detailed results for the case of three and five states, which corresponds to a system with on-off states and three additional intermediate states “power save”, “suspend”, and “hibernate”. The authors use a novel balancing technique to obtain optimally competitive solutions. With this, the authors show that the overall best competitive ratio for three-state systems is 9 5 and the authors obtain optimal ratios for various five state systems. For the continuous case, the authors develop various strategies, namely linear, optimal-following, progressive and exponential. The authors show that the best competitive strategies are those that follow the offline schedule in an accelerated manner. Strategy “progressive” consistently produces competitive ratios significantly better than 2.

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15

Gorbunova, Veronika S., and Elena Yu Puzina. "Efficiency of introduction of the energy management system in Russian industrial companies." Transportation Systems and Technology 4, no. 1 (March 15, 2018): 119–37. http://dx.doi.org/10.17816/transsyst2018041119-137.

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Aim: The purpose of the study is to present an overview of national and international energy management systems and suggest activities to enhance the quality of the realisation of the energy management systems in Russian industrial companies. Methods: The authors have used the description of the energy saving and energy management systems directions under research, the analysis of the qualitative properties of the energy management systems in use, structural and functional method for the development of the general structure and stages of functioning of the energy management systems. Results: During the research, the authors have revealed the necessity to unify separate directions of the energy saving policies of Russia’s industrial companies into the energy management system that is a subsystem of the overall enterprise management, combining the company’s strategic goals, energy auditing, training personnel in energy saving and energy efficiency enhancement, energy resources recording system, the formation, realisation and monitoring of the energy saving programme, and automation of the energy saving and energy efficiency enhancement activities. Conclusion: The realisation of the suggested measures will enable forming the conditions for the transition to a large-scale implementation of the energy management system, that fosters the realisation of the state policy in energy saving and energy efficiency enhancement.

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16

Robinson, David, David Adrian Sanders, and Ebrahim Mazharsolook. "Sensor-based ambient intelligence for optimal energy efficiency." Sensor Review 34, no. 2 (March 17, 2014): 170–81. http://dx.doi.org/10.1108/sr-10-2012-667.

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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.

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Ma, Yun Long, Xiao Hua Chen, Bo Liu, and Guo Feng Zhang. "Energy Efficiency Assessment Oriented Building Energy Consumption System Model." Applied Mechanics and Materials 415 (September 2013): 734–40. http://dx.doi.org/10.4028/www.scientific.net/amm.415.734.

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This paper analyzes the characteristics and composition of the energy consumption system of the building from the perspective of systematic energy conservation and presents the systematic framework of the consumption model. Based on the framework, the paper focuses on how to establish a building energy consumption assessment system, find the energy efficiency index system and assessment approaches, and apply the results directly into building energy conservation and emission reduction. It not only facilitates greatly the overall and efficient management of the energy consumption system of the building, but also serves as another new approach to achieve energy conservation and emission reduction.

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Di, Feng, Wei Li, Fu Cheng Liu, Guang Ru Zhang, and Guo Tao Hui. "The Energy Management Strategy of Photovoltaic Energy Storage System." Advanced Materials Research 1006-1007 (August 2014): 727–31. http://dx.doi.org/10.4028/www.scientific.net/amr.1006-1007.727.

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In order to prolong the service life of the battery, ensure the operation efficiency of photovoltaic energy storage system, the establishment of a complete set of battery energy management strategies for photovoltaic energy storage system is very necessary because of the intermittent of solar energy. A strategy based on the state of charge of the battery to realize energy management strategy for photovoltaic energy storage system is proposed in this paper. The simulation verifies the effectiveness of the proposed method and the results show that the method can realize the purpose better.

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Siregar, Marsul, Firma Purbantoro, and Tajuddin Nur. "Implementation of Energy Management Concept and Energy Management System in High Rise Office Building." Jurnal TIARSIE 16, no. 3 (September 30, 2019): 85. http://dx.doi.org/10.32816/tiarsie.v16i3.55.

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Energy Management Concept as part of Green Building Concept is focused to Improve Energy Efficiency Index (EEI) and Water Consumption Index (WCI). The Implementation Energy Management Concept in an office buildings of this study based on the management system model of continual improvement ISO 50001:2011. The purpose of this study was to determine the extent to which the implementation of green building principles in Office Buildings. This study took the case study in an office building in Jakarta Indonesia that has two towers, each tower has 32 floors and 3 basement floors. The method used is descriptive with respect to GREENSHIP Rating Tools for existing building which consists of six categories; Appropriate Site Development (ASD), Energy Efficiency & Conservation (EEC), Water Conservation (WAC), Material Resources & Cycle (MRC), Indoor Air Health & Comfort (IHC) and Building & Environments Management (BEM). The results show that implementation the Energy Management Concept could also made energy performance more efficient, after Implementing through Retrofitting of the Chiller System, Recycle Waste Water, Replacement of Conventional lamp to Energy Saving LED and also Training and Education to all employees and tenants. From comparing data research before implementation of Energy Management Concept in 2014 and after Implementation and retrofitting in 2016, 2017 & 2018, it is found that Energy Efficiency Index (EEI) from 238.8 kwh/m2/Years to 134,04kwh/m2/Year and Water Consumption Index (WCI)From 50 liter/person/Day to 27.18 Liter/person/Day. And the saving cost from electricity bill payments is IDR. 466,803,325.67 / month (18%) and roughly will Break Event Point (BEP) for 3.86 Years

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20

Locmelis, Kristaps, Dagnija Blumberga, Andra Blumberga, and Anna Kubule. "Benchmarking of Industrial Energy Efficiency. Outcomes of an Energy Audit Policy Program." Energies 13, no. 9 (May 2, 2020): 2210. http://dx.doi.org/10.3390/en13092210.

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Latvia’s industrial energy efficiency policy imposes the implementation of mandatory energy audits and energy management systems in large industrial enterprises and large industrial electricity consumers to improve industrial competitiveness, to move towards a carbon-neutral economy and to increase the security of supply. Companies affected by this energy efficiency policy are obliged to report to the national energy efficiency monitoring system on energy efficiency measures indicated in energy audits or energy management systems with the highest savings or economical potential. The purpose of this study was to assess the initial outcomes of the first industrial energy efficiency program in Latvia, using data from the national energy efficiency monitoring system, including an analysis of individual energy audit reports, and benchmarking it with findings from a similar program, thereby revealing untapped energy efficiency and CO2 emission reduction potential. Although the national monitoring system made it possible to ascertain results of the energy efficiency program, the statistical analysis of the data did not allow for a robust conclusion on the technical or economic industrial energy efficiency potential. This study suggests that Latvia’s energy efficient policy should continue its course in implementation and provides recommendations for improvements on the national energy efficiency monitoring system.

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21

YASNOLOB, Ilona, Oleg GORB, Yuliia KOZACHENKO, Oleksandr KALIAN, Tetyana BOROVYK, and Iryna ZAHREBELNA. "Energy Independence and Energy Efficiency of Populated Areas in the System of Management." Journal of Environmental Management and Tourism 10, no. 3 (July 17, 2019): 538. http://dx.doi.org/10.14505//jemt.v10.3(35).09.

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The idea of the essence of notions “energy independence” and “energy efficiency” was extended in the article taking into account the promising directions of developing energy saving, ensuring the harmonious system development. The energy policy in the populated localities of European countries was analyzed in the article and also their practical experience concerning the questions of energy independence and energy efficiency was studied. Special attention was paid to the Polish experience, because the country has the greatest number of energy independent populated localities among other European countries. The European experience of energy policy enabled to reveal economic, ecological, and social levers of forming and developing energy independence and energy efficiency of populated localities, forming the system of their management. The necessity of introducing consolidated state policy as to raising energy independence and energy efficiency of populated localities was proven, their priority directions and assistance in introducing the corresponding projects in the populated localities of Ukraine were determined. The necessity and peculiarities of energy management system for the need of project management in energy independence and energy efficiency of populated localities were investigated. Practical recommendations as to optimizing the management system of energy independence and energy efficiency of populated localities in Ukraine were developed

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22

Hussain, Muhammad Majid, Rizwan Akram, Zulfiqar Ali Memon, Mian Hammad Nazir, Waqas Javed, and Muhammad Siddique. "Demand Side Management Techniques for Home Energy Management Systems for Smart Cities." Sustainability 13, no. 21 (October 24, 2021): 11740. http://dx.doi.org/10.3390/su132111740.

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In this paper, three distinct distributed energy resources (DERs) modules have been built based on demand side management (DSM), and their use in power management of dwelling in future smart cities has been investigated. The investigated modules for DERs system are: incorporation of load shedding, reduction of grid penetration with renewable energy systems (RES), and implementation of home energy management systems (HEMS). The suggested approaches offer new potential for improving demand side efficiency and helping to minimize energy demand during peak hours. The main aim of this work was to investigate and explore how a specific DSM strategy for DER may assist in reducing energy usage while increasing efficiency by utilizing new developing technology. The Electrical Power System Analysis (ETAP) software was used to model and assess the integration of distributed generation, such as RES, in order to use local power storage. An energy management system has been used to evaluate a PV system with an individual household load, which proved beneficial when evaluating its potential to generate about 20–25% of the total domestic load. In this study, we have investigated how smart home appliances’ energy consumption may be minimized and explained why a management system is required to optimally utilize a PV system. Furthermore, the effect of integration of wind turbines to power networks to reduce the load on the main power grid has also been studied. The study revealed that smart grids improve energy efficiency, security, and management whilst creating environmental awareness for consumers with regards to power usage.

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Song, Ning Xi, Di Ming Wan, Qian Sun, and Jian Feng Yue. "Data Mining-Based Smart Industrial Park Energy Efficiency Management System." Applied Mechanics and Materials 484-485 (January 2014): 585–88. http://dx.doi.org/10.4028/www.scientific.net/amm.484-485.585.

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Smart industrial park energy efficiency management system is used for solving the demanded side electric power management problem mainly in terms of scientific management. In this system, the data of electric power, electric power quality, and electric energy is acquired in real time by installing an electric power management monitor in the main load points, so as to analyze electric energy efficiency and energy consumption. A large amount of data can be obtained from the system, and if these huge amounts of data are of a value can be further analyzed, finding the unknown factors affecting enterprises energy consumption, equipment performance, and operational efficiency, and the disadvantages of the traditional data processing method. Therefore, an advanced data analysis and processing tool (i.e. efficiency data mining technology) is introduced for analyzing and mining large amounts of data monitored with the smart industrial park system.

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Belokurov, Sergey, Alexei Skrypnikov, Oleg Kondratov, Dmitry Levushkin, and Oleg Tveritnev. "Increasing the energy efficiency of electronic document management systems." E3S Web of Conferences 279 (2021): 03029. http://dx.doi.org/10.1051/e3sconf/202127903029.

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This paper proposes a comprehensive set of characteristics of integrated security systems of electronic document management. We give a classification description and data analysis for modeling decision-making processes in integrated security systems by the example of responding to the threats of information leakage through parametric channels. The optimal set of measures to respond to an attacker’s operations of illegal interception of information via parametric channels by using the appropriate modes of operation of the TCP protocol, which reduces the decision-making time, optimizes the performance of the system as a whole and significantly contributes to the optimization of its energy efficiency is given.

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Xia, Tangbin, Xiangxin An, Huaqiang Yang, Yimin Jiang, Yuhui Xu, Meimei Zheng, and Ershun Pan. "Efficient Energy Use in Manufacturing Systems—Modeling, Assessment, and Management Strategy." Energies 16, no. 3 (January 19, 2023): 1095. http://dx.doi.org/10.3390/en16031095.

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Currently, studies on the energy efficiency of manufacturing systems usually lack synthetic and systematic techniques. In this paper, a holistic framework is demonstrated in order to achieve more sustainable manufacturing, which covers machine-level, system-level and life-cycle-level energy efficiency techniques. Based on these, the mechanism of how energy consumption is affected by machining processes and system operation is analyzed to achieve a comprehensive decision on energy efficiency optimization. Four main topics are included in this paper: (1) Hierarchical sustainability goals and metrics for energy-efficient manufacturing; (2) Machine-level machining processes optimization for energy efficiency enhancement; (3) System-level innovations for efficient consumption management; (4) Life-cycle level energy flow modeling and energy recycling strategy. An automotive engine manufacturing system is taken as an example to build a concrete understanding of the application of the framework. Moreover, this holistic framework establishes the theoretical basis for promoting the energy efficiency of automotive engine manufacturing systems. Furthermore, the proposed techniques can provide decision-making support for achieving sustainable manufacturing in a wider scope of mechanical manufacturing.

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Kovalko, O. M., N. M. Kovalko, and O. V. Novoseltsev. "Result-oriented investment management system for targeted energy efficiency programs." Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, no. 3 (July 2018): 160–66. http://dx.doi.org/10.29202/nvngu/2018-3/20.

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Zobel, Thomas, and Charlotte Malmgren. "Evaluating the Management System Approach for Industrial Energy Efficiency Improvements." Energies 9, no. 10 (September 24, 2016): 774. http://dx.doi.org/10.3390/en9100774.

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IMANISHI, Tomoya, Kanae MATSUI, and Hiroaki NISHI. "A Proposal of Campus Energy Management System Considering Learning Efficiency." Transactions of the Society of Instrument and Control Engineers 51, no. 5 (2015): 344–51. http://dx.doi.org/10.9746/sicetr.51.344.

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Олександр Стенгач. "ENERGY EFFICIENCY MANAGEMENT SYSTEM ON LNG TANKER DURING OCEAN PASSAGE." European Science, sge08-02 (January 30, 2019): 73–92. http://dx.doi.org/10.30890/2709-2313.2022-08-02-020.

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Dyner, Isaac, Ricardo A. Smith, and Gloria E. Peña. "System Dynamics Modelling for Residential Energy Efficiency Analysis and Management." Journal of the Operational Research Society 46, no. 10 (October 1995): 1163–73. http://dx.doi.org/10.1057/jors.1995.165.

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Mutanov, Galimkair, and Sayabek Ziyadin. "Assessment of energy system management - the case study of Kazakhstan." E3S Web of Conferences 135 (2019): 04056. http://dx.doi.org/10.1051/e3sconf/201913504056.

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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.

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Smolentsev, N. I., L. M. Chetoshnikovа, and A. N. Ignatov. "Electromechanical drive management energy." Power engineering: research, equipment, technology 21, no. 6 (April 21, 2020): 3–10. http://dx.doi.org/10.30724/1998-9903-2019-21-6-3-10.

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The development of an intelligent energy storage management system is an up-to-date scientific and technical challenge. This system should ensure maximum efficiency of energy storage in power networks for various purposes. The article discusses the use of energy storage in distribution networks of an industrial enterprise and substantiation of the vector control method of the inverted synchronous motor of the energy storage SPENE-1, shows a block diagram of the vector system for controlling the energy accumulator motor and the results of its simulation in MatLab.

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Arnieri, Emilio, Luigi Boccia, Francesco Amoroso, Giandomenico Amendola, and Gregorio Cappuccino. "Improved Efficiency Management Strategy for Battery-Based Energy Storage Systems." Electronics 8, no. 12 (December 2, 2019): 1459. http://dx.doi.org/10.3390/electronics8121459.

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Battery-based energy storage systems are forecasted to have a rapid diffusion in the next future, because they can support the diffusion of renewable energy sources and can offer interesting ancillary services for the distribution grid. Consequently, energy management strategies for batteries and inverters present in storage systems will play a fundamental role in order to guarantee effective energy transfer processes between storage systems and the grid. This paper proposes an efficient management strategy which allows maximizing the overall energy efficiency of grid-connected storage systems taking into account the actual relationship between the efficiency and the charging/discharging power of the storage system. The effectiveness of the strategy is as shown by analysis results, the proposed strategy can allow a remarkable efficiency increase compared with strategies which are not aimed at the efficiency optimization.

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Robinson, David Charles, David Adrian Sanders, and Ebrahim Mazharsolook. "Ambient intelligence for optimal manufacturing and energy efficiency." Assembly Automation 35, no. 3 (August 3, 2015): 234–48. http://dx.doi.org/10.1108/aa-11-2014-087.

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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.

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Gozdur, Roman, Tomasz Przerywacz, and Dariusz Bogdański. "Low Power Modular Battery Management System with a Wireless Communication Interface." Energies 14, no. 19 (October 3, 2021): 6320. http://dx.doi.org/10.3390/en14196320.

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The paper concerns the design and development of large electric energy storage systems made of lithium cells. Most research advances in the development of lithium-ion battery management systems focus solely on safety, functionality, and improvement of the procedures for assessing the performance of systems without considering their energy efficiency. The paper presents an alternative approach to the design and analysis of large modular battery management systems. A modular battery management system and the dedicated wireless communication system were designed to analyze and optimize energy consumption. The algorithms for assembly, reporting, management, and communication procedures described in the paper are a robust design tool for further developing large and scalable battery systems. The conducted analysis of energy efficiency for the exemplary 100S15P system shows that the energy used to power the developed battery management system is comparable to the energy dissipated due to the intrinsic self-discharge of lithium-ion cells.

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Tu, Kung-Jen. "Establishing the DEA energy management system for individual departments within universities." Facilities 33, no. 11/12 (August 3, 2015): 716–35. http://dx.doi.org/10.1108/f-11-2014-0092.

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Purpose – The purpose of this study is to present the theoretical framework of the “data envelopment analysis (DEA) Energy Management System (DEMS)” proposed to assist individual departments occupying the same buildings on university campus in assessing the energy efficiencies of their facilities, as well as to demonstrate the implementation results of the DEMS applied in the case of the Department of Architecture of NTUST in Taiwan. Design/methodology/approach – The proposed DEMS considers each “space” within a department in a given “time” (such as a month) as a decision-making unit (DMU). Then, regression analysis is performed on data of “existing environment”, “occupancy” factors and “actual energy consumption EUI (energy usage intensity)” related variables. The regression equation derived is then used to calculate the “predicted EUI” for all DMUs. The “actual EUI” is further considered as the input data and the “predicted EUI” as the output data of the DEMS, on which data envelopment analysis is conducted to produce three types of energy-efficiency scores (overall efficiency, scale efficiency, pure technical efficiency) to indicate the energy efficiencies of all DMUs. Findings – The DEMS was developed and further implemented in the Department of Architecture of NTUST in Taiwan to illustrate how it can be used to assist individual departments within universities in assessing the energy management effectiveness of their spaces. Research limitations/implications – The accuracy of the energy-efficiency scores depends greatly on the accuracy of the predicted EUIs of spaces, and, therefore, it is critical to identify a better regression model with higher predictability (R2). The relatively low actual EUIs of certain student spaces during winter and summer breaks may greatly affect the resulting energy-efficiency scores. Practical implications – The DEMS allows facility managers to assess and compare the energy-efficiency scores “among different spaces”, to further review the energy efficiency of a space “over time” and to recognize the benchmark cases and pursue actions for energy improvement. Originality/value – This study explores the research concepts of “space type” and “internal benchmark” with an analytical method “data envelopment analysis” to assess the energy efficiency of an individual department which may only occupy certain floors of a building.

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37

B, Asalomia. "Analysis the quality indicators of electricity and of the equipment used in the navigation boat." Scientific Bulletin of Naval Academy XXIII, no. 2 (December 15, 2020): 251–59. http://dx.doi.org/10.21279/1454-864x-20-i2-102.

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The paper analyzes the navigation equipment according to the electricity consumption and its quality. Are analyzed: Integrated management systems; Algorithm for the implementation of the Energy Management System; Naval energy management system; Ways of achieving energy efficiency in the ship's electrical system. A research study is being carried out in the field of ship transport and in the development of energy naval energy systems and the improvement of the energy efficiency of the ships.

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Zhang, Ping Ze, Quan Gao, and Sai Ma. "Development of Energy Management System Based on SCADA." Applied Mechanics and Materials 71-78 (July 2011): 2280–85. http://dx.doi.org/10.4028/www.scientific.net/amm.71-78.2280.

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SCADA, as the foremost subsystem of energy management system, has the advantages of information integrity and high efficiency, and it can help diagnose system’s faults soon. Now it has become an indispensable tool for power dispatch. Through expounding the power energy supervising system, basic frame and application of common SCADA system was summarized and the configuration of both software and hardware were introduced in detail.

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Bytsyura, Leonid. "STRATEGY OF ENERGY EFFICIENCY MANAGEMENT OF ENTERPRISE." Economic Analysis, no. 27(3) (2017): 281–85. http://dx.doi.org/10.35774/econa2017.03.281.

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Introduction. The dynamic of introduction of energy efficiency projects in international companies in the field of heat supply is growing. As a result, the topical issue is to reform the activities of enterprises in the field of heat supply in Ukraine. Purpose: systematization of theoretical aspects and research of practical bases of realization of strategy of energy efficiency management of enterprise in the field of heat supply. Method (methodology). Methodological basis of the research were the following methods: analysis and synthesis – for determine scientific approaches to the strategy of energy efficiency management of the enterprise; generalization – for highlight the features of strategy of energy efficiency management of enterprise; comparison – for studying the strategy of energy efficiency management of enterprises in the field of heat supply. Results. The article summarizes scientific approaches to the essence of strategy of energy efficiency management of enterprises. The features of strategy of energy efficiency management of enterprise are highlighted. The author’s interpretation of the essence of strategy energy efficiency management of the enterprise is offered. The analysis of introduction of strategy of energy efficiency management of enterprises in the field of heat supply on the example of «Kyivteploenergo», «Lvivteploenergo» is carried out. The results of the research of scientific approaches to strategy of energy efficiency management of enterprise are the basis for determination of factors of transformation of strategic energy efficiency management system of enterprises in the field of heat supply.

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Chen, Liu Zhi, Xiao Ning Xu, and Han Wei Liu. "The Energy Efficiency Reconstruction and Energy Consumption Assessments about a Library in Guangzhou." Advanced Materials Research 374-377 (October 2011): 672–76. http://dx.doi.org/10.4028/www.scientific.net/amr.374-377.672.

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How to reduce the energy consumption of the central air-conditioning is important for the building energy efficiency. The energy efficiency reconstruction of the central air-conditioning system on one library in Guangzhou is completed with the network control system self-developed. The operational control and operational management is integrated in the network control system. The energy consumption before and after reconstruction about the air-conditioning system of the library is detected and analyzed in the paper. The result shows the mode that operational control and operational management integrated has better energy efficiency.

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41

Zhang, Qiao, Weiwen Deng, Sumin Zhang, and Jian Wu. "A Rule Based Energy Management System of Experimental Battery/Supercapacitor Hybrid Energy Storage System for Electric Vehicles." Journal of Control Science and Engineering 2016 (2016): 1–17. http://dx.doi.org/10.1155/2016/6828269.

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In this paper, a simple and efficient rule based energy management system for battery and supercapacitor hybrid energy storage system (HESS) used in electric vehicles is presented. The objective of the proposed energy management system is to focus on exploiting the supercapacitor characteristics and on increasing the battery lifetime and system efficiency. The role of the energy management system is to yield battery reference current, which is subsequently used by the controller of the DC/DC converter. First, a current controller is designed to realize load current distribution between battery and supercapacitor. Then a voltage controller is designed to ensure the supercapacitor SOC to fluctuate within a preset reasonable variation range. Finally, a commercial experimental platform is developed to verify the proposed control strategy. In addition, the energy efficiency and the cost analysis of the hybrid system are carried out based on the experimental results to explore the most cost-effective tradeoff.

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42

Wu, Yun Fa, and Fang Li. "Research and Design of Intelligent Building Energy Management System." Advanced Materials Research 368-373 (October 2011): 3745–48. http://dx.doi.org/10.4028/www.scientific.net/amr.368-373.3745.

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In the field of intelligent building, managing energy consumption effectively in various types of construction equipment, improving energy efficiency, has been seen as an important and difficult subject. This thesis through establish building energy management system; realize building energy management by unified management of construction equipment.

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43

Kahane, Adam. "New perspectives for energy efficiency and system optimization." Energy Policy 19, no. 3 (April 1991): 199–201. http://dx.doi.org/10.1016/0301-4215(91)90144-d.

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44

Bilgundi, Srishail K., Heerayan Pradeepa, Aditi Kadam, and Likithkumar M. Venkatesh. "Energy management schemes for distributed energy resources connected to power grid." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 1 (October 1, 2022): 30. http://dx.doi.org/10.11591/ijeecs.v28.i1.pp30-40.

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In a technically advanced world where demand is increasing very fast especially large number of non-linear loads and electric vehicles has led to energy crisis and pollution of grid power. Depleting conventional energy sources and environmental concerns has led to integration of large number of distributed energy resources (DERs) at distributional level to resolve problem of energy crisis and reduce emissions. With grid connected to different types of DERs, it is very challenging to manage the power flow, resolve energy crisis and maintain good power quality. Improper energy management may lead to inefficient operation of DERs and may build up stress on energy storage systems (ESS) impacting their life cycle. Thus, it is necessary to use energy management schemes (EMS) for efficient and reliable operation. EMS helps to enhance overall system efficiency and reduce the stress on ESS. This paper presents the analysis of different EMS applied on distribution system for efficient and economic operation of DERs and carryout stress analysis on ESS. Overall system efficiency, Hydrogen utilization in fuel cell, state of charge (SoC) of batteries and supercapacitor are the main parameters considered for performance comparison. To analyze the proposed work a simulation model is designed in MATLAB.

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45

Na, Kwang-Su, Jeong Lee, Jun-Mo Kim, Yoon-Seong Lee, Junsin Yi, and Chung-Yuen Won. "Power Conversion System Operation Algorithm for Efficient Energy Management of Microgrids." Electronics 10, no. 22 (November 14, 2021): 2791. http://dx.doi.org/10.3390/electronics10222791.

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This paper investigates the operation of each power conversion system (PCS) for efficient energy management systems (EMSs) of microgrids (MGs). When MGs are linked to renewable energy sources (RESs), the reduction in power conversion efficiency can be minimized. Furthermore, energy storage systems (ESSs) are utilized to manage the surplus power of RESs. Thus, the present work presents a method to minimize the use of the existing power grid and increase the utilization rate of energy generated through RESs. To minimize the use of the existing power grid, a PCS operation method for photovoltaics (PV) and ESS used in MGs is proposed. PV, when it is directly connected as an intermittent energy source, induces voltage fluctuations in the distribution network. Thus, to overcome this shortcoming, this paper utilizes a system that connects PV and a distributed energy storage system (DESS). A PV-DESS integrated module is designed and controlled for tracking constant power. In addition, the DESS serves to compensate for the insufficient power generation of PV. The main energy storage systems (MESSs) used in MGs affect all aspects of the power management in the system. Because MGs perform their operations based on the capacity of the MESS, a PCS designed with a large capacity is utilized to stably operate the system. Because the MESS performs energy management through operations under various load conditions, it must have constant efficiency under all load conditions. Therefore, this paper proposes a PCS operation algorithm with constant efficiency for the MESS. Utilizing the operation algorithm of each PCS, this paper describes the efficient energy management of the MG and further proposes an algorithm for operating the existing power grid at the minimum level.

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46

Jin, Xin, Kyri Baker, Dane Christensen, and Steven Isley. "Foresee: A user-centric home energy management system for energy efficiency and demand response." Applied Energy 205 (November 2017): 1583–95. http://dx.doi.org/10.1016/j.apenergy.2017.08.166.

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47

D’Angelo, Letizia, Noel Finnerty, Federico Seri, Alessandro Piccinini, Ronan Coffey, Carlos Tighe, PJ Mealy, Marc Mellotte, and Marcus Keane. "A Global Energy Management System to Support Sustainable Decision Making." Proceedings 20, no. 1 (August 6, 2019): 22. http://dx.doi.org/10.3390/proceedings2019020022.

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Global energy consumption has risen enormously over the past century due to population growth and increasing energy use per person. Industrial production consumes a significant portion of global energy resources. Thus, industrial sector’s investment in energy efficiency is critical to a sustainable future. For most global enterprises the consumption of energy and natural resources represents a major overhead and developing sustainable energy policies can represent a significant competitive advantage due to the growing price of energy and volatility of supply. This symbiotic relationship can lead to the mutual benefits of increasing industrial efficiency whilst allowing the transition to a sustainable renewables-based energy future and needs to be significantly harnessed. This paper describes a decision support framework to help industrial organisations make positive investment decisions on energy performance improvement projects.

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Nakhodov, V., O. Borychenko, and A. Cherniavskyi. "The methodical issues of industrial energy monitoring systems implementation." POWER ENGINEERING: economics, technique, ecology, no. 3 (April 6, 2020): 47–56. http://dx.doi.org/10.20535/1813-5420.3.2020.228616.

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Statistics show that energy is one of the highest operating costs in a manufacturing enterprise. So, improving energy efficiency can lead to a significant increase in profits and reduce the impact of the enterprise on the environment. To increase the performance of energy efficiency activities, it is necessary to implement an energy management system. One of the components of this system is energy monitoring, which, in turn, is based on the periodic collection and analysis of data to assess the state of the monitoring objects in terms of energy efficiency. In this paper, the role and place of energy monitoring in the energy management system of an industrial enterprise are noted. The paper proposes the concept of creating energy monitoring system in industrial companies, which is based on the combination of a monitoring system based on specific energy consumption, and usage of group energy characteristics of production facilities. Implementing such energy monitoring systems will allow to conduct operational control of energy efficiency of production facilities by creating individual systems for monitoring energy efficiency, as well as successfully carry out such monitoring at the enterprise and its subdivisions over longer periods of time using specific energy consumption indicators. It also provides general guidelines for conducting energy monitoring. These guidelines were formed based on the results of studying various methods and scientific publications in the field of energy monitoring, as well as on the basis of practical experience in the development and implementation of energy management systems. Particular attention is paid to the issues of processing and analysis of information about the objects of energy monitoring of industrial enterprises. The practical application of the concept of creating energy monitoring systems envisages gradual improvement of the existing monitoring system based on the specific energy consumption, which will be further completely replaced with individual energy efficiency monitoring systems.

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Pererva, Petro, Tetiana Kobielieva, Oleksandra Kosenko, Victoria Matrosova, and Valerii Kobieliev. "ENERGY EFFICIENCY BENCHMARKING: MARKETING AND MANAGEMENT POSSIBILITIES OF USE IN INTERNATIONAL ENTREPRENEURSHIP." Energy saving. Power engineering. Energy audit., no. 11-12(153-154) (May 9, 2021): 28–38. http://dx.doi.org/10.20998/2313-8890.2020.11.04.

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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.

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Yu, Jie, Yi Pan, Juewei Wu, and Yang Li. "Multi-Type Energy Demand Response Management Strategy Considering Energy Cascade Utilization." Energies 15, no. 10 (May 16, 2022): 3635. http://dx.doi.org/10.3390/en15103635.

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Using cascade utilization between multiple energy sources to realize multi-energy complementarity can significantly improve the economic benefits and energy utilization of integrated energy service providers. Integrated energy service providers consider the cascade utilization of energy in the regional energy system. Through the demand response management of user power loads and different qualities of heat energy, the energy loss of the system can be reduced and the energy utilization efficiency of the system can be further improved. In this paper, we creatively establish a multi-objective optimization model with the goal of a minimum total cost and minimum exergy loss, considering cross elasticity, which is solved with the constraints of equipment operation and the energy balance in the region. The calculation example proves that the implementation of energy cascade utilization and demand response management for different users, by integrated energy service providers, can effectively reduce the system cost and improve exergy efficiency, so as to realize the optimal management of economic utilization and energy value.

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