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نتیجه جستجو - سیستم های مدیریت انرژی

تعداد مقالات یافته شده: 11
ردیف عنوان نوع
1 Active demand-side management strategies focused on the residential sector
استراتژی های فعال مدیریت تقاضای متمرکز بر بخش مسکونی-2020
In this paper, the impact of active demand–side management strategies, including Energy Management Systems (EMS), Photovoltaic Systems (PV) and changes in the domiciliary energy consumption habits is analyzed. In order to perform the study, the city of Bogota and the municipality of Cajica in Colombia -South America were selected, since, despite of their proximity, these places are exposed to different solar radiation levels. Based on this, two photovoltaic system designs with different technical specifications were proposed to analyze their behavior with respect to energy consumption and cost, when implemented together with a change of domiciliary energy consumption habits in lightning circuit usage. The implementation of these strategies allows achieving energy savings between 18 % and 27 %, according to the chosen photovoltaic system, and mainly due to changes in the energy consumption habits of users. Likewise, the interconnected system achieves a decrease of CO2 emissions between 85 % and 86 % approximately in this circuit, making a contribution to the environmental care. Nevertheless, the Active demand-side management (ADSM) strategy regulation is one of the challenges that Colombian government must undertake, so the domestic user receives economic incentives that motivate him to modify his consumption and acquire new technologies that facilitates its adoption. The implementation of this strategies in national and international contexts may contribute significantly to a more efficient electric power systems in general, because it starts from the active participation of residential users with elements such as their own electricity generation.
Keywords: Active demand-side management | Photovoltaic systems | Consumption habits | Energy management systems | Information management
مقاله انگلیسی
2 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
3 Internet of Things: Evolution and technologies from a security perspective
اینترنت اشیاء: تکامل و فناوری ها از دیدگاه امنیتی-2020
In recent years, IoT has developed into many areas of life including smart homes, smart cities, agriculture, offices, and workplaces. Everyday physical items such as lights, locks and industrial machineries can now be part of the IoT ecosystem. IoT has redefined the management of critical and non-critical systems with the aim of making our lives more safe, efficient and comfortable. As a result, IoT technology is having a huge positive impact on our lives. However, in addition to these positives, IoT systems have also attracted negative attention from malicious users who aim to infiltrate weaknesses within IoT systems for their own gain, referred to as cyber security attacks. By creating an introduction to IoT, this paper seeks to highlight IoT cyber security vulnerabilities and mitigation techniques to the reader. The paper is suitable for developers, practitioners, and academics, particularly from fields such as computer networking, information or communication technology or electronics. The paper begins by introducing IoT as the culmination of two hundred years of evolution within communication technologies. Around 2014, IoT reached consumers, early products were mostly small closed IoT networks, followed by large networks such as smart cities, and continuing to evolve into Next Generation Internet; internet systems which incorporate human values. Following this evolutionary introduction, IoT architectures are compared and some of the technologies that are part of each architectural layer are introduced. Security threats within each architectural layer and some mitigation strategies are discussed, finally, the paper concludes with some future developments.
Keywords: IoT | Internet of Things | Security | Cyber security | Secure by Design | Next Generation Internet | Smart city | Sustainable city | Energy reduction | Building Energy Management Systems
مقاله انگلیسی
4 The optimal management of the prosumer’s resources via stochastic programming
مدیریت بهینه منابع prosumer از طریق برنامه نویسی تصادفی-2020
This paper deals with the optimal home energy management problem faced by a smart prosumer equipped with PV panels and storage systems. The stochastic programming framework is adopted with the aim of explicitly accounting for the inherent uncertainty affecting the main problem parameters (i.e. generation from renewable energy sources and demands). The problem provides the prosumer with the optimal scheduling of the shiftable loads and operations of the available storage systems that minimizes the expected overall electricity cost. Preliminary results, collected on three different categories of residential prosumers, have shown the effectiveness of the proposed approach in terms of cost saving.
Keywords: Home energy management systems | Optimal scheduling | Renewable energy | Stochastic programming | Storage device
مقاله انگلیسی
5 Intensive quadratic programming approach for home energy management systems with power utility requirements
رویکرد برنامه نویسی درجه دوم فشرده برای سیستم های مدیریت انرژی خانه با نیازهای ابزار برق-2020
This paper proposes a model of a home energy management system (HEMS) to meet utility requirements while maximizing home profit. It contributes to intensify the flattening effects on the exchanging power pattern with a constraint of a fair profit reduction among households. The proposed method first uses a normal mixed-integer linear programming approach to find out the highest profit a household can get under a condition of a generous power limitation. It is highly possible that the resulted power aggregated from numerous homes may negatively affect power system operation such as violating voltage limits and overloading transformers. Based on that highest profit, the utility proposes the same percentage number of profit reduction for all households. Then, each HEMS performs an intensive mixed-integer quadratic programming optimization to flatten the selling and buying profiles whilst constraining the home profit reduction to the percentage set by the utility. A simulation shows that the peak power demand at the substation transformer would reduce about 44% if each household suffered a reduction of just 10% of the highest possible home profit. Since the flattening effects are improved if increasing the home profit reduction, our method is a basis for the utility to determine a compensation or alternative incentives to shave the peak-load and flatten the demand curve.
Keywords: Home Energy Management System | Peak-load shaving | Smart household | Smart home | Rooftop solar
مقاله انگلیسی
6 Efficiency in electromechanical drive motors and energy performance indicators for implementing a management system in balanced animal feed manufacturing
بهره وری در راندن موتورهای الکترومکانیکی و شاخص های عملکرد انرژی برای اجرای یک سیستم مدیریت در تولید متعادل خوراک دام-2020
Energy management for manufacturing animal feed requires efficiency in the electric motors that actuate electro mechanisms consisting in chain conveyors (3548 kWh/day), elevators of buckets (2626 kWh/ day), types axis non-end screw (298 kWh/day) and conveyor bands (434 kWh/day); all with different types of mechanical transmissions mainly reducers, chains and straps that as major consumers of electric energy represent the greatest potential savings. On the other hand, energy performance indicators are needed for assessing the production of feed and implementing an energy management system. In this paper a methodology is applied to determine the operating efficiencies of the electrical motors to the current load factors and adjusted to the actual operating conditions. The case study is a balanced animal feed manufacturing plant. The energy base line of the processes of higher energy consumption was obtained as well as energy performance indicators of 10 kWh/t for the same productive levels (500 t/ day), representing a reduction of 364 000 kWh/year and, consequently, 15% of the entry recorded of energy costs. This result is equivalent to generation costs at 120 t of oil/year, which means a saving of 6000 USD/year and 140.14 t of CO2 equivalent that is no longer emitted.
Keywords: Balanced animal feed | Energy efficiency | Energy losses | Energy management systems | Energy performance indicators | Load factor
مقاله انگلیسی
7 Smart home energy management using hybrid robust-stochastic optimization
مدیریت انرژی خانه هوشمند با استفاده از بهینه سازی قدرتمند-تصادفی ترکیبی-2020
This paper proposes a hybrid robust-stochastic optimization model for smart home energy management in dayahead (DA) and real-time (RT) energy markets which the uncertainties of energy prices and PV generation are investigated in the proposed model. A flexible robust optimization approach (ROA) is employed to create a tractable equivalent of the problem and manages the uncertainty of DA market prices when the PV generation is assumed in the worst-case. The ROA conservatism level can be adjusted by a control parameter and solutions with different levels of conservatism are obtained. Also, the proposed optimization framework considers the RT energy market and takes into account the associated uncertainties using stochastic programming (SP). At this stage, probable scenarios are used to model the uncertain characteristics of PV generation and energy prices. Loads are also considered to be controllable, while the comfort of inhabitants is considered. Results analysis show the advantage of the proposed hybrid method which makes sure decision-maker about the profitability of energy management. In the most conservatism case, the summation of profits of DA and RT markets is about 2.5 $/day.
Keywords: Smart home | Energy management systems | Stochastic programming | Robust optimization approach | Uncertainties
مقاله انگلیسی
8 Requirements and Tasks for Active Energy Management Systems in Automotive Industry
الزامات و وظایف سیستم های مدیریت انرژی فعال در صنعت خودرو-2017
The “2020 climate and energy package” enacted by the EU aims to reduce emission of greenhouse gases, to increase the share of renewable energy and to improve overall energy efficiency. These goals are forwarded to the industry using regulations or funding opportunities. Taking a deeper look e.g. into automotive industry the companies reflect these goals to their plants across Europe. Energy efficiency is a plant-related KPI to gain customer satisfaction, enhance greener production and optimise internal costs. Current developments especially deal with base load reduction for production plants. In order to achieve this, all resources within the factory, interconnected by processes or by energy flows, have to be actively managed. This paper deals with the requirements on energy management systems stemming from the task to control production, infrastructure as well as technical building systems (TBS) simultaneously with focus on specifics of the automotive industry.
Keywords: energy management system | production planing and control | energy storage management | flexibility | automotive
مقاله انگلیسی
9 سیستم های مدیریت انرژی خانه های هوشمند: مفهوم، تنظیمات و استراتژی های برنامه ریزی
سال انتشار: 2016 - تعداد صفحات فایل pdf انگلیسی: 11 - تعداد صفحات فایل doc فارسی: 36
با ورود به عصر شبکه هوشمند و ظهور ارتباطات پیشرفته و زیرساخت های اطلاعات، ارتباط دو طرفه، زیرساخت های اندازه گیری پیشرفته، سیستم های ذخیره انرژی و شبکه های خانگی الگوهای استفاده از برق و حفاظت از انرژی در محل مصرف را متحول خواهند کرد. همراه با ظهور فن آوری های خودرو به شبکه و انرژی تجدید پذیر توزیع شده ی عظیم، یک انتقال عمیق برای الگوی مدیریت انرژی از زیرساخت های متمرکز معمولی به سمت سیستم های انرژی سایبری فیزیکی و پاسخگو به تقاضای مستقل با منابع انرژی تجدید پذیر و ذخیره شده وجود دارد. تحت پارادایم شبکه هوشمند پایدار، خانه هوشمند با سیستم مدیریت انرژی خانگی خود (HEMS) نقش مهمی در بهبود بهره وری، اقتصاد، قابلیت اطمینان، و حفاظت از انرژی برای سیستم های توزیع ایفا می کند. در این مقاله، مروری کوتاه بر معماری و ماژول های عملکردی HEMS هوشمند ارائه شده است. سپس، زیرساخت های HEMS پیشرفته و لوازم خانگی در خانه های هوشمند به طور کامل تجزیه و تحلیل و بررسی شده است. علاوه بر این، استفاده از منابع مختلف ساخت انرژی تجدید پذیر در HEMS از جمله خورشیدی، بادی، زیست توده و انرژی گرمایی زمین مورد بررسی قرار گرفته است. در نهایت، استراتژی های مختلف برنامه ریزی لوازم خانگی برای کاهش هزینه برق مسکونی و بهبود بهره وری انرژی از امکانات تولید کننده ی برق نیز مورد بررسی قرار گرفته است.
کلمات کلیدی: انرژی تجدید پذیر | سیستم مدیریت انرژی خانه | سیستم ذخیره ی انرژی خانگی | برنامه ریزی لوازم خانگی | خانه هوشمند
مقاله ترجمه شده
10 Energy savings by energy management systems: A review
صرفه جویی در انرژی توسط سیستم های مدیریت انرژی: یک مرور-2016
This study investigated energy saving effects of published papers related to energy management system (EMS), building energy management system (BEMS), industrial, company and factory energy management system (I/C/ F/EMS); and EMS for heating, ventilation, air conditioning (HVAC) and refrigerating equipment, artificial lighting systems, motors and others (EMS for equipment). From 1976 to 2014, management performance reported by 305 EMS cases (105 BEMS cases, 103 I/C/F EMS cases and 97 cases of EMS for equipment) is analyzed to evaluate varied energy saving effects. Statistical results show that saving effects of BEMS increased from 11.39% to 16.22% yearly. Inversely, saving effects of I/C/F EMS decreased from 18.89% to 10.35%. Regarding to EMS for equipment, there is no obvious trend but only the averaged saving effect can be reported. EMS for artificial lighting systems has the highest saving effect up to 39.5% in average. For HVAC and other equipment, energy saving effects are around 14.07% and 16.66% respectively. These energy saving performances are correlated with developed EMS functions. The key EMS functions could be identified from their developing progress for effective energy sav- ings. Based on the quantitative analysis, the future trends of EMS are discussed.& 2015 Elsevier Ltd. All rights reserved.
Keywords: Energy management system (EMS) | Building EMS (BEMS) | Industrial Company | Factory EMS (I/C/F EMS) | EMS for equipment | Energy saving
مقاله انگلیسی
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