مقاله انگلیسی رایگان در مورد مدیریت انرژی مشارکتی جامعه ای با ساختمانهای هوشمند – الزویر ۲۰۲۰

elsevier

 

مشخصات مقاله
ترجمه عنوان مقاله مدیریت انرژی مشارکتی جامعه ای با ساختمانهای هوشمند: یک رویکرد بلاک چین
عنوان انگلیسی مقاله Cooperative energy management of a community of smart-buildings: A Blockchain approach
انتشار مقاله سال ۲۰۲۰
تعداد صفحات مقاله انگلیسی ۱۱ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research Article)
مقاله بیس این مقاله بیس میباشد
نمایه (index) Scopus – Master Journals List – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۵٫۶۲۷ در سال ۲۰۱۹
شاخص H_index ۱۰۰ در سال ۲۰۲۰
شاخص SJR ۱٫۲۶۰ در سال ۲۰۱۹
شناسه ISSN ۰۱۴۲-۰۶۱۵
شاخص Quartile (چارک) Q1 در سال ۲۰۱۹
مدل مفهومی دارد
پرسشنامه ندارد
متغیر دارد
رفرنس دارد
رشته های مرتبط برق، فناوری اطلاعات
گرایش های مرتبط الکترونیک، مدیریت سیستم های اطلاعات، سامانه های شبکه ای
نوع ارائه مقاله
ژورنال
مجله  مجله بین المللی سیستم های انرژی و برق – International Journal Of Electrical Power & Energy Systems
دانشگاه Department of Electrical Engineering (STI), Ecole Polytechnique Fédérale de Lausanne, Lausanne 1005, Switzerland
کلمات کلیدی مدیریت انرژی مشارکتی، ساختمانهای هوشمند، جامعه هوشمند، بلاک چین، پاسخ تقاضا، قرارداد هوشمند، بهینه سازی خطی، الگوریتم غیر متمرکز
کلمات کلیدی انگلیسی Cooperative energy management، Smart-buildings، Smart-community، Blockchain، Demand response، Smart-contract، Linear optimization، Decentralized algorithm
شناسه دیجیتال – doi
https://doi.org/10.1016/j.ijepes.2019.105643
کد محصول E14474
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
دانلود رایگان مقاله دانلود رایگان مقاله انگلیسی
سفارش ترجمه این مقاله سفارش ترجمه این مقاله

 

فهرست مطالب مقاله:
Abstract

۱- Introduction

۲- Smart-building model

۳- Smart-buildings community framework

۴- Case study and discussion

۵- Conclusion

References

بخشی از متن مقاله:

Abstract

Demand Response (DR) is progressively moving from a centralized, unidirectional structure to a set of advanced decentralized mechanisms that better balance distributed supply and demand. This paper presents a decentralized cooperative DR framework to manage the daily energy exchanges within a community of Smart-Buildings, in the presence of local Renewable Energy Sources (RES). The proposed algorithm taps into the flexibility of the participants to let them decide of a day-ahead community power profile, and subsequently ensures the forecast tracking during the next day. In practice, the algorithm is fully decentralized by the Blockchain technology, that enables a trusted communication medium among the participants and enforces autonomous monitoring and billing via Smart-Contracts. With such an energy management framework, participating Smart-Buildings can together aim at a common objective, such as carbon-free resources usage or aggregated grid services, without depending on a centralized aggregator/utility. Simulations on realistic Swiss building models demonstrate that nearly all the renewable production resources could be harnessed locally through the presented framework, compared to selfish individual optimization. Under a quadratic cost of grid electricity, the considered community profile could dramatically be flattened, hence avoiding costly peaks at the grid interface. A scalability analysis shows that, considering the current public Ethereum Blockchain, the framework could handle a community size of up to 100 Smart-Buildings.

Introduction

The increasing world demand in electricity is envisioned to be entirely supplied by sustainable Renewable Energy Source (RES) in order to counteract the global climate change. However, intrinsic volatility and uncontrollably of decentralized RES production pose severe challenges to the current electrical grid, that must ensure stability at any time. Progressively, the centralized grid sees a change in paradigms, transitioning from a system dispatching a production portfolio following the electrical demand to a Smart-Grid that handles a portfolio of controllable demand to match an uncontrollable supply [1]. To assist this transition, Smart-Buildings have recently emerged as a solution to leverage the flexibility offered by the various entities commonly found in buildings. Equipped with the right hardware and Information and Communication Technology (ICT) they can provide active Demand Response (DR) to the electrical grid [2,3]. DR regroups a set of mechanisms divided into incentive and price-based programs, that specify various signals to be exchanged between the grid and the consumers in order to shape the power profile of the latter. Many works have tackled the problem at individual building level, demonstrating their capability to adapt their power consumption to grid signals while ensuring occupant comfort [4–۷]. Beyond individual building optimization, there is a need of handling the problem at the community level. By doing so, local resources such as Photovoltaic (PV) production can optimally be harnessed while reducing the overall peak power demand. Many optimization frameworks have emerged to collectively manage the energy of multiple users [8–۱۲]. Nevertheless, these solutions require a central agent that collects user information to subsequently dispatch optimal set points to each of them. Even though generic simplified models can be used to represent buildings flexibility [9,12], centralized solutions still face issues of privacy, single point of failure, scalability, and market entry of small prosumers.

ارسال دیدگاه

نشانی ایمیل شما منتشر نخواهد شد. بخش‌های موردنیاز علامت‌گذاری شده‌اند *