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Готові списки джерел за темами / Energy managemen strategy

Добірка наукової літератури з теми "Energy managemen strategy"

Автор: Grafiati

Опубліковано: 14 березня 2023

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Статті в журналах з теми "Energy managemen strategy"

1

Pradip, C., Dr M. S. P. Subathra, and R. P. Amritha. "Energy Management Strategy for PV- Grid Connected Residential Microgrid System." Journal of Advanced Research in Dynamical and Control Systems 11, no. 12-SPECIAL ISSUE (December 31, 2019): 546–54. http://dx.doi.org/10.5373/jardcs/v11sp12/20193250.

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2

Harčariková, Monika, and Michal Šoltés. "Risk Management in Energy Sector Using Short Call Ladder Strategy." MONTENEGRIN JOURNAL OF ECONOMICS 12, no. 3 (October 20, 2016): 39–54. http://dx.doi.org/10.14254/1800-5845.2016/12-3/3.

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3

Li, Yingping, Wei Wang, Hui Cai, Jian Chen, and Ying Wang. "The Research of Home Energy Management Strategy Based on a New Meta-Heuristic Algorithm." International Journal of Materials, Mechanics and Manufacturing 6, no. 6 (December 2018): 407–14. http://dx.doi.org/10.18178/ijmmm.2018.6.6.417.

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4

Shigenobu, Ryuto, Oludamilare Bode Adewuyi, Atsushi Yona, and Tomonobu Senjyu. "Demand response strategy management with active and reactive power incentive in the smart grid: a two-level optimization approach." AIMS Energy 5, no. 3 (2017): 482–505. http://dx.doi.org/10.3934/energy.2017.3.482.

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5

Benelmir, Riad, and Michel Feidt. "Energy cogeneration systems and energy management strategy." Energy Conversion and Management 39, no. 16-18 (November 1998): 1791–802. http://dx.doi.org/10.1016/s0196-8904(98)00055-7.

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6

Li, Jinfeng, Kai Jiang, Zhixin Wang, Xiaozhuo Xu, Liang Wang, and Chao Zhang. "Research for Control Strategy of Smart Home Energy Management System with Distributed Photovoltaic Generation and Application Practice." Journal of Clean Energy Technologies 4, no. 6 (2016): 396–400. http://dx.doi.org/10.18178/jocet.2016.4.6.320.

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7

Elweddad, Mohamed, Muhammet Güneşer, and Ziyodulla Yusupov. "Designing an energy management system for household consumptions with an off-grid hybrid power system." AIMS Energy 10, no. 4 (2022): 801–30. http://dx.doi.org/10.3934/energy.2022036.

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Анотація:

<abstract> <p>This paper analyzes the effect of meteorological variables such as solar irradiance and ambient temperature in addition to cultural factors such as consumer behavior levels on energy consumption in buildings. Reducing demand peaks to achieve a stable daily load and hence lowering electricity bills is the goal of this work. Renewable generation sources, including wind and Photovoltaics systems (PV) as well as battery storage are integrated to supply the managed home load. The simulation model was conducted using Matlab R2019b on a personal laptop with an Intel Core i7 with 16 GB memory. The model considered two seasonal scenarios (summer and winter) to account for the variable available energy sources and end-user electric demand which is classified into three demand periods, peak-demand, mid-demand, and low-demand, to evaluate the modeled supply-demand management strategy. The obtained results showed that the surrounding temperature and the number of family members significantly impact the rate of electricity consumption. The study was designed to optimize and manage electricity consumption in a building fed by a standalone hybrid energy system.</p> </abstract>

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8

J.T, Juraev, and Tleumuratov J.B. "Fundamentals Of Improving Strategic Management In The Energy Sector Of The Republic Of Uzbekistan." American Journal of Management and Economics Innovations 02, no. 11 (November 30, 2020): 16–18. http://dx.doi.org/10.37547/tajmei/volume02issue11-02.

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Uzbekistan is developing its nuclear and regulatory infrastructure in strong partnership with the International Atomic Energy Agency (IAEA) to widen the energy capacity, the country aims for becoming the leader of the energy sector in Central Asia. Thus, Uzbekistan needs a polished policy of management and strategies to have an environment like that they are planning, and of course to implement this, the strategic management is necessary and clarifying the problems in managing the energy sector of the state is also of high essentiality. Taking this into consideration, this not huge paper will be oriented for illuminating such issues.

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9

Tazvinga, Henerica, Xiaohua Xia, and Bing Zhu. "Optimal Energy Management Strategy for Distributed Energy Resources." Energy Procedia 61 (2014): 1331–34. http://dx.doi.org/10.1016/j.egypro.2014.11.1093.

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10

Sundstrom, O., P. Soltic, and L. Guzzella. "A Transmission-Actuated Energy-Management Strategy." IEEE Transactions on Vehicular Technology 59, no. 1 (January 2010): 84–92. http://dx.doi.org/10.1109/tvt.2009.2030812.

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Дисертації з теми "Energy managemen strategy"

1

ZANELLI, ALESSANDRO. "Development of a Comprehensive 0-1D Powertrain and Vehicle Model for the Analysis of an Innovative 48 V Mild-Hybrid Diesel Passenger Car." Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2842511.

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2

Hrubý, Martin. "ENERGY MANAGEMENT STRATEGY FOR SUSTAINABLE REGIONAL DEVELOPMENT." Doctoral thesis, Vysoké učení technické v Brně. Fakulta stavební, 2016. http://www.nusl.cz/ntk/nusl-390247.

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Energy Management strategy for sustainable regional development has been selected as the topic of my research due to the fact that energy demand alongside with energy dependency have been continuously growing from a long term perspective. Sustainable development is defined by three imperatives – energy efficiency, ecology and security. Review of the current state and analysis of historical trends in Energetics at global and regional level are covered in this research. Results of the Multi-Criteria Decision Analysis introduce a set of implications and recommendations for Energy Management strategy in the Czech Republic.

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3

Bader, Benjamin. "An energy management strategy for plug-in hybrid electric vehicles." Doctoral thesis, Universitat Politècnica de Catalunya, 2013. http://hdl.handle.net/10803/134358.

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This dissertation formulates a proposal for a real time implementable energy management strategy (EMS) for plug-in hybrid electric vehicles. The EMS is developed to minimize vehicle fuel consumption through the utilisation of stored electric energy and high-efficiency operation of powertrain components. This objective is achieved through the development of a predictive EMS, which, in addition to fuel efficiency, is optimized in terms of computational cost and drivability. The requirement for an EMS in hybrid powertrain vehicles stems from the integration of two energy stores and converters in the powertrain; in the case of hybrid electric vehicles (HEVs) usually a combustion engine and one or more electric machines powered by a battery. During operation of the vehicle the EMS controls power distribution between engine and electric traction motor. Power distribution is optimized according to the operating point dependent efficiencies of the components, energy level of the battery and trip foreknowledge. Drivability considerations, e.g. frequency of engine starts, can also be considered. Due to high oil prices and legislative requirements caused by the environmental impact of greenhouse emissions, fuel economy has gained importance in recent years. In addition to increased fuel economy, powertrain hybridization permits the substituton of fuel for electrical energy by implementing an external recharging option for the battery. This vehicle class, incorporating a battery rechargeable via the electrical grid, is known as a plug-in HEV (PHEV). PHEV share characteristics of both HEVs and all-electric vehicles combining several advantages of both technologies. The rechargeable battery feature of the PHEVs makes their EMS development espe-cially challenging. For minimal fuel consumption, the battery is discharged optimally over the whole trip length, prioritising electrical energy when driving conditions are such that its use maximises the fuel saving that can be achieved. Therefore, an EMS for a PHEV depends heavily on the availability of a priori knowledge about the trip, i.e. the knowledge about future vehicle speed and road grade. This requires the driver to indi-cate the route before trip start. The route knowledge in combination with GPS or Galileo based next generation navigation systems using information from a geographic in-formation system (GIS) about terrain height profile, road type (e.g. motorway or country road), and legal speed limits can be evaluated by a speed prediction algorithm including information about the driver's behaviour for a detailed prediction of the trip. These navigation systems and algorithms in combination with expected future advances and the deployment of technologies such as intelligent transport systems (ITS) and vehicle-to-vehicle communication (V2V), will make more exact traffic information available to further improve prediction. Despite expected advances in prediction quality, inaccuracy of prediction data has to be considered and is therefore regarded in this work. The EMS proposed in this dissertation combines different approaches which are exe-cuted step by step. A first approximation of the energy distribution during the trip is based on a mixed integer linear program (MILP), which gives the optimal energy state of the battery during the trip. This is especially important for trips with long uphill, downhill or urban phases, i.e. sections with a particularly high or lower power requirement. The results from MILP are then used by a dynamic programming (DP) algorithm to calculate optimal torque and gear using a receding prediction horizon. Using a receding prediction horizon, an important reduction of computational cost is achieved. Lastly, from the DP results a rule-based strategy is extracted using a support vector machine (SVM). This last step is necessary to ensure the drivability of the vehicle also for inaccurate prediction data.

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4

Wong, Yuk-sum. "System design and energy management strategy for hybrid electric vehicles." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/HKUTO/record/B3955885X.

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5

黃毓琛 and Yuk-sum Wong. "System design and energy management strategy for hybrid electric vehicles." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B3955885X.

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6

Aminata, Jaka. "The Impact of Risk Management and CSR on Energy Efficiency within Supply Chain : Institutional Organization Management." Thesis, Sorbonne Paris Cité, 2017. http://www.theses.fr/2017USPCD071/document.

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Анотація:

La gestion des risques et la responsabilité sociale des entreprises ont pris les rôles dans la gestion de la stratégie mondiale d'efficacité énergétique de la chaîne d'approvisionnement et de la logistique internationale. Tout est basé sur des faits simulations, causes et impacts dans le transport, la production et la gestion de l'entrepôt. En termes de transport dans les ensembles de la chaîne d'approvisionnement globale, le système de suivi du rendement devrait être appliqué selon les normes standard appropriées. Particulièrement pour les produits dangereux. Ainsi, le niveau de pollution peut être anticipé et calculé au niveau exact. Le plus important est aussi le niveau externe, soi-disant facteur de leadership. Ce facteur reflétera la performance de la responsabilité sociale de l'entreprise.Le type de système de production qui relie le système de chaîne d'approvisionnement global est le plus difficile. Pourquoi avons-nous des difficultés sur celui-ci ? Parce que certaines entreprises ou pays ne pouvaient dans une certaine mesure faire un meilleur choix en termes de pénurie pour certains types de ressources énergétiques. Pour la section de l'entrepôt, l'auteur a trouvé le résultat que le secteur de l'électricité avec une base de données en temps réel donnait une manière réaliste de l'efficacité énergétique de la chaîne d'approvisionnement mondiale. L'efficacité énergétique dans la chaîne d'approvisionnement mondiale est une perspective que l'efficacité de l'énergie au niveau mondial pourrait être réalisée par n'importe quel type de produit, principalement sur la matière énergétique. En se concentrant sur la façon de les transporter, le système de production et la façon de construire un système d'entrepôt pour maintenir la source d'énergie plus efficace pour servir les utilisateurs finaux
Risk management and corporate social responsibility took roles play how to manage global supply chain energy efficiency strategy and international logistics. All is based on facts-simulations, causes & impacts in transportation, production, and warehouse management”. In term of transportation in global supply chain shows for tracking performance systems hould be applied on appropriate standardized. Particularly for hazardous products. So that, the pollution level can be anticipated and calculated in exact level. The most important one is also the external level, so called leadership factor. This factor will reflect the corporate social responsibility performance.The type of production system which connected to global supply chain system is the most difficult one. Why do we have difficulties on this one? Because, some enterprises or countries for some extent could not make a better choice in term of scarcity for certain type of energy resources. For the warehouse section, the author found the result that electricity sector with real time data base has been giving realistic the way of energy efficiency of global supply chain.The energy efficiency in global supply chain is a perspective that efficiency energy in global level could be perform by any type of product, mainly on energy matter. By focusing on how to transport them, the way of production system, and how to build up warehouse system to keep source of energy become more efficient to serve end users

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7

Aloughani, Muhammad. "Renewable energies management strategy challenges in the Arabian Gulf countries." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/11533.

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The main source of energy in the Gulf Cooperation Council (GCC) remains fossil fuels (oil and gas). The massive and accelerated used of such sources of energy not only depletes the traditional energy sources in those states and thus undermines exports and long-term prosperity; it also causes devastating damages to the environment and to human health. The nature of the Arabian Peninsula is very suitable for renewable energy sources (RES), thus many GCC states have started to consider those resources for their future energy plans. Like any technology, renewable energy technologies (RET) face many challenges such as economic, technical, social and environmental. This research analyses renewable energy (RE) possibilities and barriers in the GCC states in depth, using Kuwait as a case study. Questionnaires were distributed to three different groups to measure their attitudes and knowledge with regard to RE. Moreover, this research investigates the economic and environmental implications of RES adoption for Kuwait. A cost analysis between the traditional energy generated by the Ministry of Electricity and Water (MEW) using oil and gas, and RE energy generated by Al- Shagaya project has been carried out. It was found that most participants were environmentally aware of fuel issues and supported RE; they were prepared to forego subsidies on traditional energy to promote RE, but they doubted the government’s ability to implement RE successfully. Although Al-Shagaya Project was targeted to contribute up to 15% of Kuwait’s total power production by 2030, the cost analysis presented in this thesis revealed that the energy generated from the Al-Shagaya Project accounts for only 2% the energy needs projected at 2030, therefore current plans would only reduce CO2 emissions by 2% by 2030, but a program was proposed whereby larger investment would cause a 92% reduction in costs and reduce CO2 emissions to zero within the same timeframe.

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8

Cross, Patrick Wilson. "System Modeling and Energy Management Strategy Development for Series Hybrid Vehicles." Thesis, Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24785.

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A series hybrid electric vehicle is a vehicle that is powered by both an engine and a battery pack. An electric motor provides all of the mechanical motive power to the transmission. Engine power is decoupled from the transmission by converting engine power into electricity which powers the electric motor. The mechanical decoupling of the engine from the transmission allows the engine to be run at any operating point (including off) during vehicle operation while the battery back supplies or consumes the remaining power. Therefore, the engine can be operated at its most efficient operating point or in a high-efficiency operating region. The first objective of this research is to develop a dynamic model of a series hybrid diesel-electric powertrain for implementation in Simulink. The vehicle of interest is a John Deere M-Gator utility vehicle. This model serves primarily to test energy management strategies, but it can also be used for component sizing given known load profiles for a vehicle. The second objective of this research is to develop and implement multiple energy management strategies of varying complexity from simple thermostat control to an optimal control law derived using dynamic programming. These energy management strategies are then tested and compared over the criteria of overall fuel efficiency, power availability, battery life, and complexity of implementation. Complexity of implementation is a critical metric for control designers and project managers. The results show that simple point-based control logic can improve upon thermostat control if engine efficiency maps are known. All control method results depend on the load profile being used for a specific application.

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9

Graves, Samantha A. "Energy efficient group context aware sensor management strategy for tactical operations." Thesis, Monterey, California: Naval Postgraduate School, 2013. http://hdl.handle.net/10945/37633.

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Approved for public release; distribution is unlimited
Shared situational awareness (SSA) is essential to success and safety in tactical environments, whether fighting wars or providing relief during disasters and humanitarian catastrophes. The increased availability of sensors in mobile devices offers groundbreaking opportunities for continuous context-aware applications that are capable of responding to the operating conditions of users and their environment. However, continuous context-aware applications involve high-energy consumption. A key challenge in tactical environments is to make the most effective use of scarce resources. There are numerous approaches for reducing energy consumption of continuous context-aware applications. This thesis examines two methods: Sensor Substitution and Triggering (SENST) and Acquisitional Context Engine (ACE). The goal of this thesis is to explore the capabilities and limitations of SENST and ACE for group context-awareness and provide a group energy-efficient sensor management strategy that enhances the dissemination of SSA in tactical environments.

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10

Fletcher, Thomas P. "Optimal energy management strategy for a fuel cell hybrid electric vehicle." Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/25567.

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The Energy Management Strategy (EMS) has a huge effect on the performance of any hybrid vehicle because it determines the operating point of almost every component associated with the powertrain. This means that its optimisation is an incredibly complex task which must consider a number of objectives including the fuel consumption, drive-ability, component degradation and straight-line performance. The EMS is of particular importance for Fuel Cell Hybrid Electric Vehicles (FCHEVs), not only to minimise the fuel consumption, but also to reduce the electrical stress on the fuel cell and maximise its useful lifetime. This is because the durability and cost of the fuel cell stack is one of the major obstacles preventing FCHEVs from being competitive with conventional vehicles. In this work, a novel EMS is developed, specifcally for Fuel Cell Hybrid Electric Vehicles (FCHEVs), which considers not only the fuel consumption, but also the degradation of the fuel cell in order to optimise the overall running cost of the vehicle. This work is believed to be the first of its kind to quantify effect of decisions made by the EMS on the fuel cell degradation, inclusive of multiple causes of voltage degradation. The performance of this new strategy is compared in simulation to a recent strategy from the literature designed solely to optimise the fuel consumption. It is found that the inclusion of the degradation metrics results in a 20% increase in fuel cell lifetime for only a 3.7% increase in the fuel consumption, meaning that the overall running cost is reduced by 9%. In addition to direct implementation on board a vehicle, this technique for optimising the degradation alongside the fuel consumption also allows alternative vehicle designs to be compared in an unbiased way. In order to demonstrate this, the novel optimisation technique is subsequently used to compare alternative system designs in order to identify the optimal economic sizing of the fuel cell and battery pack. It is found that the overall running cost can be minimised by using the smallest possible fuel cell stack that will satisfy the average power requirement of the duty cycle, and by using an oversized battery pack to maximise the fuel cell effciency and minimise the transient loading on the stack. This research was undertaken at Loughborough University as part of the Doctoral Training Centre (DTC) in Hydrogen, Fuel Cells and Their Applications in collaboration with the University of Birmingham and Nottingham University and with sponsorship from HORIBA-MIRA (Nuneaton, UK). A Microcab H4 test vehicle has been made available for use in testing for this research which was previously used for approximately 2 years at the University of Birmingham. The Microcab H4 is a small campus based vehicle designed for passenger transport and mail delivery at low speeds as seen on a university campus. It has a top speed of approximately 30mph, and is fitted with a 1.2kW fuel cell and a 2kWh battery pack.

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Книги з теми "Energy managemen strategy"

1

Yüksel, Serhat, and Hasan Dinçer, eds. Strategic Approaches to Energy Management. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76783-9.

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2

Martin, Spence, and Thompson Roy, eds. The energy fix: Towards a socialist energy strategy. London: Pluto, 1986.

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3

Porter, Andy. The energy fix: Towards a socialist energy strategy. London: Pluto Press, 1986.

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4

Sikdar, Bimal Kumar. India & China: Strategic energy management and security. New Delhi: Manas Publications, 2009.

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5

Amitabh, Sikdar, ed. India & China: Strategic energy management and security. New Delhi: Manas Publications, 2009.

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6

Sikdar, Bimal Kumar. India & China: Strategic energy management and security. New Delhi: Manas Publications, 2009.

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7

Sikdar, Bimal Kumar. India & China: Strategic energy management and security. New Delhi: Manas Publications, 2009.

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8

Commerce, United States Department of. Department of Commerce strategic implementation plan for energy management. Washington, D.C.]: U.S. Dept. of Commerce, 2004.

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9

Engineers, Association of Energy, and World Energy Engineering Congress (8th : 1985 : Atlanta, Ga.), eds. Strategic planning for cogeneration and energy management. Atlanta, Ga: Fairmont Press, 1986.

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10

1966-, Parello John, ed. IP-enabled energy management: A proven strategy for administering energy as a service. Hoboken, N.J: Wiley Pub., 2010.

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Частини книг з теми "Energy managemen strategy"

1

Karakeçe, Ercan. "The Core of Business: Is It Energy Management or Management Energy?" In Strategic Approaches to Energy Management, 243–55. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76783-9_18.

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2

Jin, Shunfu, and Wuyi Yue. "Energy-Efficient Task Scheduling Strategy." In Resource Management and Performance Analysis of Wireless Communication Networks, 405–22. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7756-7_20.

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3

Adiguzel, Zafer. "Strategic and Management Thinking: An Examining of Sustainable Energy Management." In Strategic Approaches to Energy Management, 187–99. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76783-9_14.

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4

Sun, Qiuye. "Coordinated Power Management Control Strategy for Interconnected AC and DC Microgrids." In Energy Internet and We-Energy, 93–127. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0523-8_4.

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5

Doğuç, Özge. "RPA in Energy and Utilities." In Strategic Approaches to Energy Management, 217–30. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76783-9_16.

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Jin, Shunfu, and Wuyi Yue. "Energy-Efficient Virtual Machine Allocation Strategy." In Resource Management and Performance Analysis of Wireless Communication Networks, 423–43. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7756-7_21.

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Yuan, Yue, Rongjia He, Haibo Zhao, Enlong Li, Xuekun Li, and Chunmei Xu. "Rule-Based Energy Management Strategy for Multi-energy Drive System." In Lecture Notes in Electrical Engineering, 499–505. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2862-0_48.

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Akıncı, Merter, and Gönül Yüce Akıncı. "Modelling the Volatility Spillovers Among Energy Stock Returns in Developed, Developing and Fragile Economies Using EGARCH Analysis." In Strategic Approaches to Energy Management, 103–25. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76783-9_9.

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9

Yakubu, Ibrahim Nandom, Ayhan Kapusuzoglu, and Nildag Basak Ceylan. "Urbanization, Fossil Fuel Consumption and Carbon Dioxide Emission in Ghana: The STIRPAT Model Approach." In Strategic Approaches to Energy Management, 201–16. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76783-9_15.

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Almaz, Fulya. "Energy Oriented Management Approach as a Market Activity Tool in Achieving Competitive Advantage." In Strategic Approaches to Energy Management, 231–41. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76783-9_17.

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Тези доповідей конференцій з теми "Energy managemen strategy"

1

Khalil, Essam E. "Strategic Plan and Roadmap for Energy and Water Utilization: Water Energy Nexus." In ASME 2013 Power Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/power2013-98323.

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All countries have realized the strategic importance of regional Energy-Water Roadmap and strategy as dictated by the world logistics and climatic changes. The purpose of the roadmap is to assess the effectiveness of existing water and energy development programs within the individual countries and among them in addressing energy and water related issues, and to assist in defining the direction of research, development, demonstration, and commercialization national and regional efforts to insure that: 1. Energy-related issues associated with providing adequate water supplies, optimal management and efficient use of water, and 2. Water-related issues associated with providing adequate supplies, optimal management and efficient use of energy are being adequately and efficiently addressed in the future.

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2

Su, Ling, Jianhua Zhang, and Ziping Wu. "Energy Management Strategy for Lab Microgrid." In 2011 Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2011. http://dx.doi.org/10.1109/appeec.2011.5748420.

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3

Moussavou, A. A. Aminou, M. Adonis, and A. K. Raji. "Microgrid energy management system control strategy." In 2015 International Conference on the Industrial and Commercial Use of Energy (ICUE). IEEE, 2015. http://dx.doi.org/10.1109/icue.2015.7280261.

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4

Wang, Jinhao, Manghu Wang, Huipeng Li, Wenping Qin, and Lei Wang. "Energy Management Strategy for Microgrid Including Hybrid Energy Storage." In 2018 Asian Conference on Energy, Power and Transportation Electrification (ACEPT). IEEE, 2018. http://dx.doi.org/10.1109/acept.2018.8610715.

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5

Shi, Tao, Ruanming Huang, and Hui Yin. "Research on Energy Management Strategy of Integrated Energy System." In 2020 5th Asia Conference on Power and Electrical Engineering (ACPEE). IEEE, 2020. http://dx.doi.org/10.1109/acpee48638.2020.9136255.

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6

Roshan, Abhishek, Prakash Dwivedi, and Himesh Kumar. "Fuzzy Based MPPT and Energy Management Strategy." In 2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC). IEEE, 2019. http://dx.doi.org/10.1109/icsgrc.2019.8837080.

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7

Li, Chung-Lun, Chih-Han Lin, and Le-Ren Chang-Chien. "Energy management strategy for renewable backup supply." In 2017 IEEE Second International Conference on DC Microgrids (ICDCM). IEEE, 2017. http://dx.doi.org/10.1109/icdcm.2017.8001105.

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8

Fanti, M. P., A. M. Mangini, M. Roccotelli, W. Ukovich, and S. Pizzuti. "A control strategy for district energy management." In 2015 IEEE International Conference on Automation Science and Engineering (CASE). IEEE, 2015. http://dx.doi.org/10.1109/coase.2015.7294117.

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9

Gosavi, Gaurav, Ajay Fernandes, Amarkumar Gupta, Vaibhav Sharma, Leo Kannampuzha, and Nishan Patnaik. "Energy Management Strategy in Standalone DC Microgrid." In 2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). IEEE, 2018. http://dx.doi.org/10.1109/rteict42901.2018.9012327.

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10

de Souza, Reynaldo Barros, and Franco Giuseppe Dedini. "Energy Management Strategy for Hybrid Electric Vehicles." In SAE Brasil 2009 Congress and Exhibit. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2009. http://dx.doi.org/10.4271/2009-36-0328.

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Звіти організацій з теми "Energy managemen strategy"

1

Baker, Ken L. Creating Strategic Energy Management. Office of Scientific and Technical Information (OSTI), March 2018. http://dx.doi.org/10.2172/1424443.

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2

Chambon, Paul H. PHEV Engine Control and Energy Management Strategy - FY12 Annual Report. Office of Scientific and Technical Information (OSTI), October 2012. http://dx.doi.org/10.2172/1081998.

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3

Chambon, Paul H. FY12 annual Report: PHEV Engine Control and Energy Management Strategy. Office of Scientific and Technical Information (OSTI), May 2012. http://dx.doi.org/10.2172/1042905.

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4

Chambon, Paul H. FY11 annual Report: PHEV Engine Control and Energy Management Strategy. Office of Scientific and Technical Information (OSTI), October 2011. http://dx.doi.org/10.2172/1035148.

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5

Parker, Steven A., and W. D. Hunt. Strategic Energy Management Plan For Fort Buchanan, Puerto Rico. Office of Scientific and Technical Information (OSTI), October 2001. http://dx.doi.org/10.2172/885476.

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6

Li, Yan, Yuhao Luo, and Xin Lu. PHEV Energy Management Optimization Based on Multi-Island Genetic Algorithm. SAE International, March 2022. http://dx.doi.org/10.4271/2022-01-0739.

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The plug-in hybrid electric vehicle (PHEV) gradually moves into the mainstream market with its excellent power and energy consumption control, and has become the research target of many researchers. The energy management strategy of plug-in hybrid vehicles is more complicated than conventional gasoline vehicles. Therefore, there are still many problems to be solved in terms of power source distribution and energy saving and emission reduction. This research proposes a new solution and realizes it through simulation optimization, which improves the energy consumption and emission problems of PHEV to a certain extent. First, on the basis that MATLAB software has completed the modeling of the key components of the vehicle, the fuzzy controller of the vehicle is established considering the principle of the joint control of the engine and the electric motor. Afterwards, based on the Isight and ADVISOR co-simulation platform, with the goal of ensuring certain dynamic performance and optimal fuel economy of the vehicle, the multi-island genetic algorithm is used to optimize the parameters of the membership function of the fuzzy control strategy to overcome it to a certain extent. The disadvantages of selecting parameters based on experience are compensated for, and the efficiency and feasibility of fuzzy control are improved. Finally, the PHEV vehicle model simulation comparison was carried out under the UDDS working condition through ADVISOR software. The optimization results show that while ensuring the required power performance, the vehicle fuzzy controller after parameter optimization using the multi-island genetic algorithm is more efficient, which can significantly reduce vehicle fuel consumption and improve exhaust emissions.

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7

Chiles, Thomas, Kenneth Shutika, and Philip Coleman. Riding the Electricity Market as an Energy Management Strategy: Savings from Real-Time Pricing. Office of Scientific and Technical Information (OSTI), June 2015. http://dx.doi.org/10.2172/1425679.

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Davenport, Lars, Louisa Smythe, Lindsey Sarquilla, and Kelly Ferguson. Strategic Energy Management Plan for the Santa Ynez Band of Chumash Indians. Office of Scientific and Technical Information (OSTI), March 2015. http://dx.doi.org/10.2172/1176927.

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Portsmouth, J., and S. Genoni. Department of Energy/contractor electronic data interchange taskforce: Automated Transportation Management Strategic Plan. Office of Scientific and Technical Information (OSTI), September 1989. http://dx.doi.org/10.2172/5312994.

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Walker, A., D. Beattie, K. Thomas, K. Davis, M. Sim, and A. Jhaveri. Strategic Plan for Sustainable Energy Management and Environmental Stewardship for Los Angeles Unified School District. Office of Scientific and Technical Information (OSTI), November 2007. http://dx.doi.org/10.2172/920933.

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