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نتیجه جستجو - انرژی

تعداد مقالات یافته شده: 1038
ردیف عنوان نوع
91 زنجیره های تأمین پایدار - تأثیر فناوری های تحول دیجیتال بر ابعاد اجتماعی و زیست محیطی
سال انتشار: 2020 - تعداد صفحات فایل pdf انگلیسی: 7 - تعداد صفحات فایل doc فارسی: 9
در این تحقیق، یافته هایی در ارتباط با چشم انداز اجرای فناوری های تحول دیجیتال (DTT) به منظور دستیابی به فرآیندهای پایدار در تدارکات و مدیریت زنجیره تامین شرکت های تولیدی ارائه شده است.DTT می تواند از نظر بهره وری انرژی ، کاهش فواصل انتقال و توزیع و بهینه سازی منابع تدارکات بهبود یابد. این تحقیق براساس مطالعات موردی کیفی در میان تولیدکنندگان انجام شده است. به دلیل اینکه تحقیقات فعلی اغلب بر بعد اقتصادی متمرکز است، تأکید ویژه ای بر پایداری اجتماعی و محیطی شده است. نتایج نشان می دهد که استقرار DTT در تدارکات و مدیریت زنجیره تأمین به طور متوسط تأثیر مثبتی بر بعد پایداری زیست محیطی و اجتماعی دارد.
کلمات کلیدی: تحول دیجیتال | مدیریت زنجیره تامین | تدارکات | فناوری ها | پایداری
مقاله ترجمه شده
92 A review of hierarchical control for building microgrids
مروری بر کنترل سلسله مراتبی برای میکرو گریدهای ساختمان-2020
Building microgrids have emerged as an advantageous alternative for tackling environmental issues while enhancing the electricity distribution system. However, uncertainties in power generation, electricity prices and power consumption, along with stringent requirements concerning power quality restrain the wider development of building microgrids. This is due to the complexity of designing a reliable and robust energy management system. Within this context, hierarchical control has proved suitable for handling different requirements simultaneously so that it can satisfactorily adapt to building environments. In this paper, a comprehensive literature review of the main hierarchical control algorithms for building microgrids is discussed and compared, emphasising their most important strengths and weaknesses. Accordingly, a detailed explanation of the primary, secondary and tertiary levels is presented, highlighting the role of each control layer in adapting building microgrids to current and future electrical grid structures. Finally, some insights for forthcoming building prosumers are outlined, identifying certain barriers when dealing with building microgrid communities.
Index Terms: Electricity market | Energy management system | Optimisation algorithms | Renewable energy source | Prosumer
مقاله انگلیسی
93 Thorough state-of-the-art analysis of electric and hybrid vehicle powertrains: Topologies and integrated energy management strategies
تجزیه و تحلیل دقیق و پیشرفته از موتورهای برقی و هیبریدی خودرو:: توپولوژی و استراتژی های مدیریت انرژی یکپارچه-2020
Hybrid and electric vehicles have been demonstrated as auspicious solutions for ensuring improvements in fuel saving and emission reductions. From the system design perspective, there are numerous indicators affecting the performance of such vehicles, in which the powertrain type, component configuration, and energy management strategy (EMS) play a key role. Achieving an energy-efficient powertrain requires tackling several conflicting control objectives such as the drivability, fuel economy, reduced emissions, and battery state of charge preservation, which make the EMS the most crucial aspect of powertrain system design. Accordingly, in the present study, various powertrain systems and topologies of (plug-in) hybrid electric vehicles and full-electric vehicles are assessed. In addition, EMSs as applied in the literature are systematically surveyed for a qualitative investigation, classification, and comparison of existing approaches in terms of the principles, advantages, and drawbacks through a comprehensive review. Furthermore, potential challenges considering the gaps in research are addressed, and directives paving the way toward further development of powertrains and EMSs in all respects are thoroughly provided.
Keywords: Plug-in hybrid electric vehicle | Full-electric vehicle | Energy management strategy optimisation | Online EMS | Offline EMS | Optimal control strategy
مقاله انگلیسی
94 An internet of energy framework with distributed energy resources, prosumers and small-scale virtual power plants: An overview
اینترنت چارچوب انرژی با منابع انرژی توزیع شده ، پیشرانها و نیروگاه های مجازی در مقیاس کوچک: یک مرور کلی-2020
Current power networks and consumers are undergoing a fundamental shift in the way traditional energy systems were designed and managed. The bidirectional peer-to-peer (P–P) energy transactions pushed passive consumers to be prosumers. The future smart grid or the internet of energy (IoE) will facilitate the coordination of all types of prosumers to form virtual power plants (VPP). The paper aims to contribute to this growing area of research by accumulating and summarizing the significant ideas of the integration of distributed prosumers and small-scale VPP to the internet of energy (IoE). The study also reports the characteristics of IoE in comparison to the traditional grid and offers some valuable insights into the control, management and optimization strategies of prosumers, distributed energy resources (DERs) and VPP. As bidirectional P–P energy transaction by the prosumers is a crucial element of IoE, their management strategies including various demand-response approach at the customers’-levels are systematically summarized. The integration of DERs and prosumers to the VPP considering their functions, infrastructure, type, control objectives are also reviewed and summarized. Various optimization techniques and algorithm, and their objectives functions and the types of mathematical formulation that are used to manage the DERs and VPP are discussed and categorized systematically. Finally, the factors which affect the integration of DERs and prosumers to the VPP are identified.
Keywords: Bidirectional energy transactions | Distributed energy resources | Energy management | Internet of energy | Optimization techniques | Prosumers | Virtual power plant
مقاله انگلیسی
95 Energy-cognizant scheduling for preference-oriented fixed-priority real-time tasks
برنامه ریزی دانش شناخت انرژی برای وظایف در زمان واقعی با اولویت ثابت تنظیم گرا -2020
Energy management is one of the crucial design issues when executing real-time applications with stringent tim- ing requirements. Dynamic slowdown of processor voltage if accompanied with processor shutdown method, helps in better saving energy. Traditionally, energy management has been applied to real-time scheduling algo- rithms that prioritize tasks based on timing parameters only, however, recently applications having tasks with different execution-preferences on the same computing unit found significant importance in various areas. In this paper, dynamic voltage scaling (DVS) and dynamic power management (DPM) techniques are used for energy management while scheduling preference-oriented fixed-priority periodic real-time tasks. Preference-oriented energy-aware rate-monotonic scheduling (PER) and preference-oriented extended energy-aware rate-monotonic scheduling (PEER) algorithms are proposed that maximize energy savings while fulfilling preference-value of tasks. Extensive simulations show that PER and PEER outperforms in terms of energy savings when compared to several related studies.
Keywords: Dynamic voltage | scaling Energy management | Fixed-priority | Preference-oriented | Rate-monotonic | Real-time tasks | Task scheduling
مقاله انگلیسی
96 Shape-stabilized hydrated salt/paraffin composite phase change materials for advanced thermal energy storage and management
مواد تغییر فاز کامپوزیت نمک / پارافین هیدراته شده با فرم تثبیت شده برای ذخیره سازی و مدیریت انرژی پیشرفته حرارتی-2020
Thermal energy storage and management have attracted considerable interest in the field of sustainable control and utilization of energy. Thermal energy storage materials with excellent thermal properties and shape stability are in high demand. Herein, we developed a simple and effective method to fabricate hydrated salt / paraffin composite (HPC) shape-stabilized phase change materials (SSPCMs). Hydrated salt was emulsified into paraffin by an inverse emulsion template method to obtain HPC. Owing to its low volatility, paraffin enhanced the thermal stability of the hydrated salt by preventing its direct contact with the environment. Furthermore, after its crystallization, paraffin provided nucleation sites and functioned as a nucleating agent to promote the crystallization of the hydrated salt. The HPC was then simultaneously impregnated into cellulose sponge (CS), forming the SSPCMs, which exhibited excellent thermal stability, high energy storage density with a phase transition enthalpy of 227.3 J/g, and a reduced supercooling degree. Besides, there was negligible leakage during the test. The efficiency of the SSPCMs as temperature management materials was then tested by using them as a lining in a fully enclosed protective clothing.
Keywords: Hydrated salt | Paraffin | Phase change materials | Thermal stability | Supercooling degree
مقاله انگلیسی
97 کنترل توان سیستمهای انرژی هیبریدی با منابع تجدیدپذیر (بادی/ قدرت زای نوری) با استفاده از راهبرد سیستمهای تبدیل یافته
سال انتشار: 2020 - تعداد صفحات فایل pdf انگلیسی: 7 - تعداد صفحات فایل doc فارسی: 24
این مقاله یک راهبرد نوین برای کنترل توان خروجی یک سیستم انرژی هیبریدی متشکل از منابع انرژی تجدیدپذیر (باد و قدرت زای نوری)، یک بانک باتری و یک بار متغیر ارائه می کند. با تولید یک راهبرد مدیریت انرژی، سیستم انرژی هیبریدی دراینجا به عنوان یک سیستم غیرخطی تبدیل یافته با پارامترهای نامشخص توصیف می شود. سپس یک راهبرد کنترلی سازگار برای برآوردن نیاز توان کل در شرایط مختلف تحت تبدیل اختیاری پیشنهاد می شود. قانون کنترلی پیشنهاد شده بدون نیاز داشتن به سنجش های بادی، فقط بستگی به سرعت زاویه ای و جریان دارد. اثبات پایداری تحلیلی برمبنای روش رایج تابع لیاپونوف ارائه می شود. نتایج شبیه سازی نیز برای نشان دادن عملکرد روش پیشنهادی برای یک سیستم انرژی هیبریدی نمونه، ارائه شده و مورد بحث قرار می گیرد.
مقاله ترجمه شده
98 The clustering algorithm for efficient energy management in mobile ad-hoc networks
الگوریتم خوشه بندی برای مدیریت انرژی کارآمد در شبکه های ad-hoc تلفن همراه-2020
MANET (Mobile Ad-hoc Network) consumes much energy due to their dynamic capabilities, complex- ities, constraints of design such as lack of a specified communication infrastructure, and their change over time. One strategy to reduce energy consumption is to optimize routing in these networks, which is, in turn, one of the most important challenges in these networks. In addition, optimal routing will in- crease the network lifetime and lead to its stability. Considering the high efficiency of clustering methods among the routing algorithms we present a new clustering method and considering good performance of Evolutionary Algorithms (EAs) in finding proper head clusters, we present a specific EA-based method named ICA (Imperialist Competitive Algorithm) via numerical coding. By thinking of specific conditions of a MANET and estimating the mobility direction of nodes, we prevent from additional reclusterings lead- ing to reducing the overload. We have evaluated our proposed method for: 1) accuracy (including the reproducibility, convergence and stability criteria) through three case studies with different numbers of nodes and ranges and 2) efficiency (by comparing to other methods). Moreover, we applied our proposed method to a case study (multi-robot system) with low velocity.
Keywords: ICA | MANET | Clustering | Energy consumption
مقاله انگلیسی
99 Optimization strategies for Microgrid energy management systems by Genetic Algorithms
استراتژی های بهینه سازی برای سیستم های مدیریت انرژی میکرو گرید توسط الگوریتم های ژنتیک-2020
Grid-connected Microgrids (MGs) have a key role for bottom-up modernization of the electric distribution network forward next generation Smart Grids, allowing the application of Demand Response (DR) services, as well as the active participation of prosumers into the energy market. To this aim, MGs must be equipped with suitable Energy Management Systems (EMSs) in charge to efficiently manage in real time internal energy flows and the connection with the grid. Several decision making EMSs are proposed in literature mainly based on soft computing techniques and stochastic models. The adoption of Fuzzy Inference Systems (FISs) has proved to be very successful due to their ease of implementation, low computational run time cost, and the high level of interpretability with respect to more conventional models. In this work we investigate different strategies for the synthesis of a FIS (i.e. rule based) EMS by means of a hierarchical Genetic Algorithm (GA) with the aim to maximize the profit generated by the energy exchange with the grid, assuming a Time Of Use (TOU) energy price policy, and at the same time to reduce the EMS rule base system complexity. Results show that the performances are just 10% below to the ideal (optimal) reference solution, even when the rule base system is reduced to less than 30 rules.
Keywords: Microgrids | Genetic algorithms | Fuzzy systems | Energy management systems
مقاله انگلیسی
100 Evaluating an adaptive management strategy for organizational energy use under climate uncertainty
ارزیابی یک استراتژی مدیریتی تطبیقی ​​برای استفاده از انرژی سازمانی در عدم قطعیت اقلیم-2020
Changing climate creates energy demand uncertainty that is essential for facility and organizational management. Energy conservation can be achieved through combinations of capital improvements and/or management strategies. One such management strategy is implementation of non-conditioning zones to reduce temperate season energy demand. In this study, we evaluate a temporally-based, non-conditioning zone policy originally developed for Kunsan Air Force Base, Korea and apply it to six locations across the contiguous United States, which coincide with major U.S. Air Force bases in various climate zones. Using projected temperature portfolios, we determine that the performance of the implemented policy is likely to change over the remainder of the century. In temperate climate zones, there is an increase in the potential non-conditioning zone by about a month. However, in a tropical climate, the potential duration for a non-conditioned zone reduces by over half by the end of the century. In addition to non-conditioning zone duration change, temporal shifts in the spring and fall seasons affect non-conditioning zone onset. The cumulative changes suggest the need for climate forecast-informed adaptive management policies to mitigate energy demand. The results of this study inform organization and facility-level energy management, suggesting adaptive management policies to address energy budget uncertainty.
Keywords: Adaptive management | Climate change | Energy conservation | Organizational energy use
مقاله انگلیسی
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