Relevant bibliographies by topics / Energy management system

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Energy management system'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2025

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Journal articles on the topic "Energy management system"

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Doddamallappanavar, Shweta, Deepa S. Haveri, and Asst Prof Chaitanya K. Jambotkar. "Energy Management System Using Renewable Energy Sources." International Journal of Trend in Scientific Research and Development Volume-3, Issue-2 (February 28, 2019): 331–34. http://dx.doi.org/10.31142/ijtsrd21343.

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Priyadarshana, HVV, MA Kalhan Sandaru, KTMU Hemapala, and WDAS Wijayapala. "A review on Multi-Agent system based energy management systems for micro grids." AIMS Energy 7, no. 6 (2019): 924–43. http://dx.doi.org/10.3934/energy.2019.6.924.

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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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Ilnytskyi, R., and R. Karpa. "A COMPUTERIZED ENERGY MANAGEMENT SYSTEM FOR A SMART HOME." Computer systems and network 5, no. 1 (December 16, 2023): 36–49. http://dx.doi.org/10.23939/csn2023.01.036.

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This work is devoted to the study of Smart Home systems based on the development of an energy optimization system for a smart home and based on various wireless communication protocols. The paper considers the construction of a home monitoring and control system based on the latest Bluetooth Low-Energy protocol using modern technologies. A device for monitoring and controlling electrical appliances, which is an element of this system, is proposed. The proposed architecture has advantages over other existing systems: reliability, performance, ease of deployment, and management. The system is flexible due to the possibility of selecting operating modes (automatic or manual) and changing various settings that affect the operation of the optimization algorithm. The paper presents examples of the system operation in different modes and at different values of the algorithm settings, consisting of a server deployed on a personal computer and two developed monitoring and control device prototypes. Keywords: smart home, energy consumption optimization, monitoring and control of electrical appliances, smart sockets, Bluetooth low energy.
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Azagra, Esteban. "Energy management system implementation." Proceedings of the Water Environment Federation 2018, no. 1 (January 1, 2018): 50–52. http://dx.doi.org/10.2175/193864718823773175.

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Rabadjiyski, M., Tz Georgiev, M. Georgiev, Y. Dachev, and St Stojkov. "ELECTRICAL ENERGY MANAGEMENT SYSTEM." IFAC Proceedings Volumes 39, no. 19 (2006): 159–64. http://dx.doi.org/10.3182/20061002-4-bg-4905.00027.

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Rane, Manasi. "Home Energy Management System." International Journal for Research in Applied Science and Engineering Technology 9, no. 5 (May 31, 2021): 647–51. http://dx.doi.org/10.22214/ijraset.2021.34231.

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OGITA, Yoshihiro, Yutaka IINO, and Hideki HAYASHI. "Buildings Energy Management System." Journal of The Institute of Electrical Engineers of Japan 132, no. 10 (2012): 692–94. http://dx.doi.org/10.1541/ieejjournal.132.692.

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HAYASHI, Hideki, Yukitoki TSUKAMOTO, and Shouji MOCHIZUKI. "Home Energy Management System." Journal of The Institute of Electrical Engineers of Japan 132, no. 10 (2012): 695–97. http://dx.doi.org/10.1541/ieejjournal.132.695.

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IWAFUNE, Yumiko. "Home Energy Management System." Journal of The Institute of Electrical Engineers of Japan 133, no. 12 (2013): 809–12. http://dx.doi.org/10.1541/ieejjournal.133.809.

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Dissertations / Theses on the topic "Energy management system"

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Demadema, Kwanele. "Smart Home Energy Management System." Thesis, Demadema, Kwanele (2018) Smart Home Energy Management System. Honours thesis, Murdoch University, 2018. https://researchrepository.murdoch.edu.au/id/eprint/44789/.

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The link between fossil generated electricity for home energy use and climate change means that the ever‐rising residential energy requirements contribute significantly to the greenhouse gas emissions and therefore household demand also has a negative impact on the environment. As a result, home energy management has gained significant attention over the years. The anticipated incentive to the home energy user is household energy cost reduction while the network operator gains from peak demand reduction. Effective Demand Response (DR) programs in the form of Smart Home Energy Management systems have the potential to fulfill both the consumer’s and network operator’s expectations. This project analyses the challenges of DR and the effects of incorporating local Renewable Energy (RE) generation to a domestic installation with the aim of turning the household into an energy neutral home whose net annual energy consumption is almost zero. Power demand and the consumption characteristics of households through common household appliances were investigated using smart meters and the associated load profiles. Some of Synergy’s Western Australian (WA) electricity retail tariffs were analysed and applied to the load profile downloads to verify the cost benefits of tariff shopping, standby mode elimination and load shifting. The Homer Pro micro grid analysis tool was used to investigate the possibility of turning a Perth household into an energy neutral home by attempting to match its possible loading with the most viable solar generation system. The results show that the Power Shift (PS1) tariff was the cheapest with a 1.44% cost reduction from the Home plan (A1) project base plan. The cost reduction analysis was performed by applying the House 1 June load profile to all the tariffs considered in this investigation. The research results show that it is possible to achieve an energy neutral home in WA although this would be accompanied by high costs and regulatory restrictions. This thesis project found that about 96% renewable fraction is achievable to typical WA households within reasonable technical, economic and regulatory considerations.
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Garmabdari, Rasoul. "Multi-Energy Microgrid Systems Planning and Energy Management Optimisation." Thesis, Griffith University, 2020. http://hdl.handle.net/10072/398878.

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Conventional power systems are predominantly composed of centralised large-scale generation sites that provide electricity to a large number of customers in a top-down unidirectional fashion and through transmission and distribution networks. To increase penetration of Renewable Energy Resources (RES) into this traditional power system and promotion of Distributed Energy Resources (DER) concept as an effective solution to deal with the challenges being faced in the conventional power system such as the energy losses, peak demand, peak generation, the infrastructure depreciation, and environmental effect, Microgrid (MG) concept is introduced. MG is defined as a locally controlled small unit of the power system that usually is in interaction with the main grid and is regarded as the building blocks of future Smart Grids (SGs). However, these systems are also capable of operating independently and isolated from the main grid, particularly in remote areas where access to the main grid is impossible or there is a disruptive event on the power system. The emergence of cutting-edge advances in the energy conversion and energy storage technologies and their commercial availability as well as introduction of various lucrative grid services that both grid and customers can benefit from derived the planners and engineers to further expand the flexibility, resilience and efficiency of MGs. To achieve this, Multi-Energy Microgrid System (MEMGS) concept as an expanded definition of MG was introduced to improve the efficiency of conventional energy systems, reduce air pollution as well as energy utilisation. MEMGS incorporates various energy technologies such as axillary boiler, gas turbine, RESs, thermal and battery energy storage systems that are fed by multiple energywares such as gas and electricity to supply multiple types of demands simultaneously such as electrical, heating and cooling loads. However, the integration of clusters of various technologies and concurrent delivery of different energy services causes additional complexities into the modelling and optimisation of these systems due to the potential interactions of energy vectors and various technologies at the consumer level. The economic viability of MGs and MEMGSs rely on the configuration and operating management of the technologies. Therefore, is a need to develop an effective and efficient planning framework that can handle the interaction complexities and nonlinearities of the system, determining the most appropriate architecture, selecting the energy conversion and energy storage technologies and energy supply alternatives from a candidate pool. This thesis aims at addressing these challenges by initially developing a comprehensive and accurate dynamic model for MGs and MGESs components, investigating the technical and economic aspects, the nonlinear behaviour, maintenance and degradation phenomena, and uncertainties associated with technologies through Mixed-Integer Linear Programming (MILP) and Mixed Integer Quadratic Programming (MIQP). Then the established model is employed to establish and propose a multi-objective linearised planning optimisation approach. The architecture and choice of equipment of MEMGSs involve various elements such as availability and costs of the energy sources and equipment, and characteristics of the energy demand. Considering these factors, the proposed strategy allocates the size of the components utilised in the MGs and EMMGSs while meeting the defined performance indices such as degradation factor, reliability and grid power fluctuations smoothing indices. Once, the configuration and capacity of components are optimally determined, efficient energy management is required. The last part of this research focuses on energy management system scheduling and optimisation where the EMS scheduling module for MGs and MEMGSs are inspected considering the Time of Use tariff, peak shaving and valley filling functions, degradation of energy storage devices, along with the operating criteria and cost of the energy conversion units. Moreover, a real-time EMS solution is provided to deal with intermittent behaviour of RESs while participating in arbitrage market. The real-time EMS manages the energy flow optimally according to the acquired real-time data and its deviation from the original schedule attained in the scheduling optimisation stage. The primary objective of the EMS module development is to maximise profit while improving the performance of the MEMGSs. Throughout this research, the MILP and MIQP optimisation approach is adopted to achieve a fast convergence while avoiding complexity and long computation time that would cause due to the nonlinear behaviour and complex interaction of the technologies. Finally, having a practical insight into the challenges and concerns with connection adjacent MGs in distribution networks, an efficient centralised EMS optimisation framework is proposed to cope with the limitations and optimise the performance of the system, considering power losses, voltage deviations and nonlinear degradation of the components. The primary objective of this section of research is to achieve the optimal techno-economic solution.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Eng & Built Env
Science, Environment, Engineering and Technology
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Alquthami, Thamer. "A smart house energy management system." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53900.

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The impact of distributed energy resources (DERs), electric vehicles/plug-in hybrid electric vehicles (EVs/PHEVs), and smart appliances on the distribution grid has been expected to be beneficial in terms of environment, economy, and reliability. But, it can be more beneficial by implementing smart controls. In the absence of additional controls, a negative effect was identified regarding the service lifetime of power distribution components. This research presents a new class of a smart house energy management system that can provide management and control of a residential house electric energy without inconvenience to the residents of the house and without overloading the distribution infrastructure. The implementation of these controls requires an infrastructure that continuously monitors the house power system operation, determines the real-time model of the house, computes better operating strategies over a planning period of time, and enables control of house resources. The smart house energy management system provides benefits for the good of utility and customer. In case of variable electricity rates, the management system can reduce the customer’s total energy cost. The benefits can be also extended to provide ancillary services to the utility such as control of peak load and reactive power support– assuming that this is worked out under a certain mutually beneficial arrangement between the utility and customer.
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Ye, Lei. "Energy Management for Virtual Machines." Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/283603.

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Current computing infrastructures use virtualization to increase resource utilization by deploying multiple virtual machines on the same hardware. Virtualization is particularly attractive for data center, cloud computing, and hosting services; in these environments computer systems are typically configured to have fast processors, large physical memory and huge storage capable of supporting concurrent execution of virtual machines. Subsequently, this high demand for resources is directly translating into higher energy consumption and monetary costs. Increasingly managing energy consumption of virtual machines is becoming critical. However, virtual machines make the energy management more challenging because a layer of virtualization separates hardware from the guest operating system executing inside a virtual machine. This dissertation addresses the challenge of designing energy-efficient storage, memory and buffer cache for virtual machines by exploring innovative mechanisms as well as existing approaches. We analyze the architecture of an open-source virtual machine platform Xen and address energy management on each subsystem. For storage system, we study the I/O behavior of the virtual machine systems. We address the isolation between virtual machine monitor and virtual machines, and increase the burstiness of disk accesses to improve energy efficiency. In addition, we propose a transparent energy management on main memory for any types of guest operating systems running inside virtual machines. Furthermore, we design a dedicated mechanism for the buffer cache based on the fact that data-intensive applications heavily rely on a large buffer cache that occupies a majority of physical memory. We also propose a novel hybrid mechanism that is able to improve energy efficiency for any memory access. All the mechanisms achieve significant energy savings while lowering the impact on performance for virtual machines.
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Renaudineau, Hugues. "Hybrid Renewable Energy Sourced System : Energy Management & Self-Diagnosis." Thesis, Université de Lorraine, 2013. http://www.theses.fr/2013LORR0336/document.

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Cette thèse a pour but le développement d'une source photovoltaïque autonome ayant des capacités d'auto-diagnostic. Un structure d'hybridation spécifique est proposée consistant en une hybridation DC de sources photovoltaïques, d'une batterie au lithium et de supercondensateurs. Des modèles dynamiques des convertisseurs boost conventionnels et de leur variante avec isolation galvanique sont proposés. Un observateur d'état est ensuite présenté pour estimer en ligne les différents paramètres représentant les pertes des convertisseurs. On montre qu'il est possible d'utiliser ces paramètres estimés pour la gestion de l'énergie dans le système, avec en particulier l'optimisation du rendement de structures parallèles. L'optimisation des sources photovoltaïques est aussi étudiée avec une attention particulière accordée aux phénomènes d'ombrage partiel et le design d'un algorithme de maximisation de la puissance produite (MPPT) dans le cas d'une architecture distribuée série. De part une architecture de puissance spécifique, on propose aussi une méthode d'estimation de l'état de santé (SOH) de la batterie qui est validée sur des cellules de batterie Li - ion et LiFePO4. On montre que le convertisseur Cuk isolé avec inductances couplées est parfaitement adapté pour faire du diagnostic en ligne sur les batteries par injection de courant. Enfin, un schéma de gestion de l'énergie global est proposé, et on vérifie le bon fonctionnement de l'ensemble de la source hybride proposée
This thesis interested on developing a stand-alone photovoltaic system with self-diagnosis possibility. A specific structure has been proposed consisting in a DC hybridization of photovoltaic sources, a Lithium-based battery and supercapacitors. Dynamics models of the boost converter and the current-fed dual-bridge DC-DC converter are proposed and an efficient state observer is proposed to estimate the models equivalent losses' parameters online. It is shown that the estimated parameters can be used in the energy management scheme, with in particular optimisation of the efficiency of paralleled structures. The photovoltaic source optimization is also studied with special attention on shading phenomenon and design of MPPT technique especially on the case of distributed series architecture. Through a specific hybridization structure, State-Of-Health estimation is tested on Li-ion and LiFePO4 batteries. It is shown that the isolated coupled-inductors Cuk converter is very efficient for battery estimation through current injection. Finally, a global energy management scheme is proposed, and the developed stand-alone photovoltaic system is validated to operate as supposed
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Renaudineau, Hugues. "Hybrid Renewable Energy Sourced System : Energy Management & Self-Diagnosis." Electronic Thesis or Diss., Université de Lorraine, 2013. http://www.theses.fr/2013LORR0336.

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Cette thèse a pour but le développement d'une source photovoltaïque autonome ayant des capacités d'auto-diagnostic. Un structure d'hybridation spécifique est proposée consistant en une hybridation DC de sources photovoltaïques, d'une batterie au lithium et de supercondensateurs. Des modèles dynamiques des convertisseurs boost conventionnels et de leur variante avec isolation galvanique sont proposés. Un observateur d'état est ensuite présenté pour estimer en ligne les différents paramètres représentant les pertes des convertisseurs. On montre qu'il est possible d'utiliser ces paramètres estimés pour la gestion de l'énergie dans le système, avec en particulier l'optimisation du rendement de structures parallèles. L'optimisation des sources photovoltaïques est aussi étudiée avec une attention particulière accordée aux phénomènes d'ombrage partiel et le design d'un algorithme de maximisation de la puissance produite (MPPT) dans le cas d'une architecture distribuée série. De part une architecture de puissance spécifique, on propose aussi une méthode d'estimation de l'état de santé (SOH) de la batterie qui est validée sur des cellules de batterie Li - ion et LiFePO4. On montre que le convertisseur Cuk isolé avec inductances couplées est parfaitement adapté pour faire du diagnostic en ligne sur les batteries par injection de courant. Enfin, un schéma de gestion de l'énergie global est proposé, et on vérifie le bon fonctionnement de l'ensemble de la source hybride proposée
This thesis interested on developing a stand-alone photovoltaic system with self-diagnosis possibility. A specific structure has been proposed consisting in a DC hybridization of photovoltaic sources, a Lithium-based battery and supercapacitors. Dynamics models of the boost converter and the current-fed dual-bridge DC-DC converter are proposed and an efficient state observer is proposed to estimate the models equivalent losses' parameters online. It is shown that the estimated parameters can be used in the energy management scheme, with in particular optimisation of the efficiency of paralleled structures. The photovoltaic source optimization is also studied with special attention on shading phenomenon and design of MPPT technique especially on the case of distributed series architecture. Through a specific hybridization structure, State-Of-Health estimation is tested on Li-ion and LiFePO4 batteries. It is shown that the isolated coupled-inductors Cuk converter is very efficient for battery estimation through current injection. Finally, a global energy management scheme is proposed, and the developed stand-alone photovoltaic system is validated to operate as supposed
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Gathala, Sudha Anil Kumar. "System level energy management in networked real-time embedded systems." [Ames, Iowa : Iowa State University], 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3369836.

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Ma, Yingnan. "Intelligent energy management system : techniques and methods." Thesis, City University London, 2011. http://openaccess.city.ac.uk/1212/.

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ABSTRACT Our environment is an asset to be managed carefully and is not an expendable resource to be taken for granted. The main original contribution of this thesis is in formulating intelligent techniques and simulating case studies to demonstrate the significance of the present approach for achieving a low carbon economy. Energy boosts crop production, drives industry and increases employment. Wise energy use is the first step to ensuring sustainable energy for present and future generations. Energy services are essential for meeting internationally agreed development goals. Energy management system lies at the heart of all infrastructures from communications, economy, and society’s transportation to the society. This has made the system more complex and more interdependent. The increasing number of disturbances occurring in the system has raised the priority of energy management system infrastructure which has been improved with the aid of technology and investment; suitable methods have been presented to optimize the system in this thesis. Since the current system is facing various problems from increasing disturbances, the system is operating on the limit, aging equipments, load change etc, therefore an improvement is essential to minimize these problems. To enhance the current system and resolve the issues that it is facing, smart grid has been proposed as a solution to resolve power problems and to prevent future failures. This thesis argues that smart grid consists of computational intelligence and smart meters to improve the reliability, stability and security of power. In comparison with the current system, it is more intelligent, reliable, stable and secure, and will reduce the number of blackouts and other failures that occur on the power grid system. Also, the thesis has reported that smart metering is technically feasible to improve energy efficiency. In the thesis, a new technique using wavelet transforms, floating point genetic algorithm and artificial neural network based hybrid model for gaining accurate prediction of short-term load forecast has been developed. Adopting the new model is more accuracy than radial basis function network. Actual data has been used to test the proposed new method and it has been demonstrated that this integrated intelligent technique is very effective for the load forecast. Choosing the appropriate algorithm is important to implement the optimization during the daily task in the power system. The potential for application of swarm intelligence to Optimal Reactive Power Dispatch (ORPD) has been shown in this thesis. After making the comparison of the results derived from swarm intelligence, improved genetic algorithm and a conventional gradient-based optimization method, it was concluded that swam intelligence is better in terms of performance and precision in solving optimal reactive power dispatch problems.
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Шевцов, Сергій Валерійович, Сергей Валерьевич Шевцов, Serhii Valeriiovych Shevtsov, and A. Shavanov. "System of Ukraine wind energy potential management." Thesis, Видавництво СумДУ, 2012. http://essuir.sumdu.edu.ua/handle/123456789/26730.

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Zhang, Wei. "Energy Management System in DC Future Home." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/56489.

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Making electricity grids smarter and facilitating them with integration of renewable energy sources (RES) and energy storage are fairly accepted as the necessary steps to achieve a sustainable and secure power industry. To enable Net-zero energy and optimize power management for future homes or buildings, DC electric distribution systems (DC Nano-grid) find feasibility and simplicity for integrating renewable energy sources and energy storage. However, integrating the sources and loads in a simple, robust and smart way is still challenging. High voltage lithium-ion battery should be seriously considered concerning the overcharge/over-discharge risk. Dissipative cell equalization and its performance are studied. Non-dissipative equalization methods are reviewed using an energy flow chart. Typical charging schemes and the related over-charge risk are illustrated. A Lithium-ion battery charging profile based on VCell_Max/Min monitoring is proposed and validated with experimental results in an 8.4kW bidirectional battery charger for DC future home. For the DC future home emulator testbed, a grid interface converter, i.e. energy control center (ECC) converter, is reviewed with functions identification. A PV system with different configurations is compared to further expand the common MPPT region, and a DC-DC converter is designed as the interface between PV panels and DC bus, facilitating maximum power point tracking (MPPT) as well as fulfill the system energy management requirement. An 8.4kW multi-phase bidirectional battery charger with Si IGBT in DCM operation is designed to achieve high efficiency and to be the interface converter between lithium-ion battery and DC bus, enhancing the battery system management as well as increasing the system reliability. To integrate all the sources and loads in a simple, reliable and smart way, this thesis proposes a distributed droop control method and smart energy management strategy to enhance the Net-zero electric energy cost. All of the control strategies are applied to the DC future home with interactions among the energy control center (ECC), renewable energy sources, energy storage and load within a day/24 hours. System level energy management control strategies for Net-zero electric energy cost are examined and illustrated. A 10kW future home emulator testbed is built and introduced for concepts validation.
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Books on the topic "Energy management system"

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Huang, Wentao, Moduo Yu, Hao Li, and Nengling Tai. Energy Management of Integrated Energy System in Large Ports. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-8795-5.

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E, Hirschfeld Herbert, New York State Energy Research and Development Authority., and Applies Energy Group Inc, eds. Multifamily dual system energy management and submetering system: Final report. [Albany, N.Y.]: NYSERDA, 2002.

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Frederic, March, and Cohen Tim (Timothy), eds. Inside energy: Developing and managing an ISO 50000 energy management system. Boca Raton, Fla: CRC, 2011.

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Al-Hinai, Amer, and Hassan Haes Alhelou. Energy Management System for Dispatchable Renewable Power Generation. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003307433.

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Institute, American National Standards, and Georgia Institute of Technology. Energy and Environmental Management Center., eds. MSE 2000: 2005: A management system for energy. 2nd ed. Atlanta, GA: Georgia Institute of Technology, Energy and Environmental Management Center, 2005.

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Birtles, A. B. Performance of a PSA trial energy management system. Watford: Building Research Establishment, 1985.

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United States. Dept. of Energy. Office of Civilian Radioactive Waste Management, ed. Program management system implementation plan. Washington, DC: U.S. Dept. of Energy, Office of Civilian Radioactive Waste Management, 1989.

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United States. Dept. of Energy. Office of Civilian Radioactive Waste Management. Program management system manual. 3rd ed. Washington, DC: U.S. Dept. of Energy, Office of Civilian Radioactive Waste Management, 1989.

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Jentgen, Lawrence A. Implementing a prototype energy and water quality management system. Denver, CO: Awwa Research Foundation, 2003.

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Canada. Energy, Mines and Resources Canada. and Manitoba. Dept. of Energy and Mines., eds. Computer controlled energy management system, Rolling River School Division #39. [Ottawa]: Energy, Mines and Resources Canada, 1985.

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Book chapters on the topic "Energy management system"

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So, Janet. "Energy Management System." In Smart Microgrids, 161–92. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315372679-7.

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Barooah, Prabir. "Building Energy Management System." In Encyclopedia of Systems and Control, 1–7. London: Springer London, 2019. http://dx.doi.org/10.1007/978-1-4471-5102-9_100083-1.

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Barooah, Prabir. "Building Energy Management System." In Encyclopedia of Systems and Control, 180–87. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-44184-5_100083.

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Blanck, Constantin, Stefan Fischer, Michael Plath, Moritz Allmaras, Andreas Pirsing, Tim Schenk, and Annelie Sohr. "EWave energy management system." In Decision Support Systems for Water Supply Systems, 19–35. Zuerich, Switzerland: European Mathematical Society Publishing House, 2020. http://dx.doi.org/10.4171/207-1/2.

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Sai Chitti Subrahmanyam, V., A. Vasantha Raman, S. L. Sharrik Krishna, I. Sitharthan, S. Shaheen Basha, Balasundaram Prabavathy, and S. Angel Deborah. "Smart Warehouse Management System." In Springer Proceedings in Energy, 99–114. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0669-4_8.

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Feng, Yuyang. "Energy PEC Enterprise Energy Management System Services." In Machine Learning and Intelligent Communications, 419–23. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66785-6_45.

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Zheng, Tianyi. "Energy + Cloud: A New Energy Management System." In Machine Learning and Intelligent Communications, 429–34. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66785-6_47.

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Poongothai, M., and N. Mahadevan. "IoT-Based Energy Management System." In Internet of Things, 175–88. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, LLC, 2021.: CRC Press, 2020. http://dx.doi.org/10.1201/9781003032441-12.

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Al-Hinai, Amer, Ahmed Al Maashri, Rashid Al-Abri, Saira Al-Zadjali, and Mana Al-Shekili. "Renewable Energy Management Concept." In Energy Management System for Dispatchable Renewable Power Generation, 131–54. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003307433-5.

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Papadopoulou, Elena V. M. "Installing PV System." In Energy Management in Buildings Using Photovoltaics, 61–71. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2383-5_7.

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Conference papers on the topic "Energy management system"

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G, Adiline Macriga, Jenish Babu T V, Balavanesh C, Rupa Devi T, Hariahran V, and Snegaa G. "E Waste Management System." In 2024 10th International Conference on Electrical Energy Systems (ICEES), 1–5. IEEE, 2024. https://doi.org/10.1109/icees61253.2024.10776925.

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Al Ameiry, Ahmed, Hana Al Breiki, Haitham Salmeen Abdulla, and Nafisa Ali. "Energy Management System." In Abu Dhabi International Petroleum Exhibition and Conference. Society of Petroleum Engineers, 2015. http://dx.doi.org/10.2118/177639-ms.

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Haddad, Richard, Gyorgy Morva, Jozsef Bencsik, and Peter Kadar. "Energy management system for energy communities." In 2022 IEEE 5th International Conference and Workshop Óbuda on Electrical and Power Engineering (CANDO-EPE). IEEE, 2022. http://dx.doi.org/10.1109/cando-epe57516.2022.10046376.

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Eidt, Brian D. "Global Energy Management System." In Carbon Management Technology Conference. Carbon Management Technology Conference, 2012. http://dx.doi.org/10.7122/151218-ms.

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Kowalczyk, Albert, Adrian Wlodarczyk, and Jaroslaw Tarnawski. "Microgrid energy management system." In 2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR). IEEE, 2016. http://dx.doi.org/10.1109/mmar.2016.7575125.

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Desai, Aniruddha, and Jugdutt Singh. "Smart energy management system." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Vijay K. Varadan. SPIE, 2010. http://dx.doi.org/10.1117/12.848730.

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Fullerton, N. "Energy management system architecture." In IEE Colloquium on The New NIE Energy Management System. IEE, 1998. http://dx.doi.org/10.1049/ic:19980475.

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Cirrincione, M., M. Cossentino, S. Gaglio, V. Hilaire, A. Koukam, M. Pucci, L. Sabatucci, and G. Vitale. "Intelligent energy management system." In 2009 7th IEEE International Conference on Industrial Informatics (INDIN). IEEE, 2009. http://dx.doi.org/10.1109/indin.2009.5195809.

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Naji, Najem, Mohamed Riduan Abid, Nissrine Krami, and Driss Ben Haddou. "CASANET Energy Management System." In ICSDE'18: International Conference on Smart Digital Environment. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3289100.3289124.

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Garg, Rishabh, Muskan Bansal, Nandini Agarwal, Anushka Purohit, Satvik Vats, and Vikrant Sharma. "Home Energy Management System." In 2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC). IEEE, 2024. http://dx.doi.org/10.1109/iceccc61767.2024.10593952.

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Reports on the topic "Energy management system"

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Singh, Ravindra, Jim Reilly, Albert Phan, Eric Stein, Dimitrije Kotur, Mladen Petrovic, Will Allen, and Monica Smith. Microgrid Energy Management System Integration with Advanced Distribution Management System. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1706120.

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Zandi, Helia, Teja Kuruganti, David Fugate, and Edward Allan Vineyard. VOLTTRON-enabled Home Energy Management System. Office of Scientific and Technical Information (OSTI), January 2019. http://dx.doi.org/10.2172/1510585.

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Majewski, Susan, Mordecai Cooke, and Derek Canady. Energy Management System Study : Phase I. Office of Scientific and Technical Information (OSTI), April 1989. http://dx.doi.org/10.2172/5318810.

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Fowler, Kimberly M., Christopher J. Anderson, and Benjamin E. Ford. Energy Data Management System Commercial Product Summary. Office of Scientific and Technical Information (OSTI), September 2017. http://dx.doi.org/10.2172/1400350.

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Author, Not Given. Energy Management System Lowers U.S. Navy Energy Costs Through PV System Interconnection (Fact Sheet). Office of Scientific and Technical Information (OSTI), April 2014. http://dx.doi.org/10.2172/1127270.

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Hatley, Darrel D., Richard J. Meador, Srinivas Katipamula, Michael R. Brambley, and Carl Wouden. Energy Management and Control System: Desired Capabilities and Functionality. Office of Scientific and Technical Information (OSTI), April 2005. http://dx.doi.org/10.2172/15020113.

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Hernandez, Adriana. HVAC & Building Management Control System Energy Efficiency Replacements. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1063877.

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Lu, Ning, Yuri V. Makarov, and Mark R. Weimar. The Wide-area Energy Management System Phase 2 Final Report. Office of Scientific and Technical Information (OSTI), August 2010. http://dx.doi.org/10.2172/1000162.

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Lu, Ning, Mark R. Weimar, Yuri V. Makarov, Jian Ma, and Vilayanur V. Viswanathan. The Wide-Area Energy Storage and Management System ? Battery Storage Evaluation. Office of Scientific and Technical Information (OSTI), July 2009. http://dx.doi.org/10.2172/969906.

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Ewan, Mitch, Richard Rocheleau, Karen Swider-Lyons, Meheboob Virji, and Guenter Randolph. Development of a Hydrogen Energy System as a Grid Frequency Management Tool. Office of Scientific and Technical Information (OSTI), July 2016. http://dx.doi.org/10.2172/1262641.

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