مقاله انگلیسی رایگان در مورد سیستم هوشمند بافت آگاه برای بهره وری انرژی در ساختمان هوشمند مبتنی بر هستی شناسی – الزویر ۲۰۱۹

مقاله انگلیسی رایگان در مورد سیستم هوشمند بافت آگاه برای بهره وری انرژی در ساختمان هوشمند مبتنی بر هستی شناسی – الزویر ۲۰۱۹

 

مشخصات مقاله
ترجمه عنوان مقاله سیستم هوشمند بافت آگاه برای بهره وری انرژی در ساختمان هوشمند مبتنی بر هستی شناسی
عنوان انگلیسی مقاله Intelligent context-awareness system for energy efficiency in smart building based on ontology
انتشار مقاله سال ۲۰۱۹
تعداد صفحات مقاله انگلیسی ۲۲ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research Article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) Scopus – Master Journals List – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۲٫۳۳۳ در سال ۲۰۱۸
شاخص H_index ۱۷ در سال ۲۰۱۹
شاخص SJR ۰٫۲۶۱ در سال ۲۰۱۸
شناسه ISSN ۲۲۱۰-۵۳۷۹
شاخص Quartile (چارک) Q3 در سال ۲۰۱۸
مدل مفهومی ندارد
پرسشنامه ندارد
متغیر ندارد
رفرنس دارد
رشته های مرتبط معماری، مهندسی انرژی
گرایش های مرتبط تکنولوژی معماری، سیستم های انرژی، فناوری های انرژی، مدیریت پروژه و ساخت
نوع ارائه مقاله
ژورنال
مجله محاسبات پایدار: انفورماتیک و سیستم ها – Sustainable Computing: Informatics and Systems
دانشگاه Lab. Laboratoire de l’Intelligence Artificielle et des Technologies de l’Information, Fac.Faculté des nouvelles technologies de l’information et de la communication, Université Kasdi Merbah Ouargla, Ouargla 30 000, Algeria
کلمات کلیدی ساختمان هوشمند، بهره وری انرژی، هستی شناسی، بافت آگاه، سیستم مدیریت انرژی ساختمان
کلمات کلیدی انگلیسی Smart building، Energy efficiency، Ontology، Context-awareness، Building energy management system
شناسه دیجیتال – doi
https://doi.org/10.1016/j.suscom.2019.01.013
کد محصول E12955
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract

۱- Introduction

۲- Related works

۳- ICA-BEMS architecture and features

۴- The solution scheduling

۵- ICA-BEMS implementation

۶- Conclusions

References

 

بخشی از متن مقاله:

Abstract

Context-awareness is an important research area. Many energy efficiency applications of ubiquitous computing need to access some related contexts to provide the best and adequate energy saving services at the right time and at the right place. One of the big challenges is the difficulty and the complexity to make systems identify and understand situations in the building business, especially in complex situations to provide adequate energy-saving services for each of which. This issue is divided into two parts: On one hand, the smart building and its environment must be modeled in a way that provides context-awareness. On the other hand is the how to effectively exploit this context-awareness to reduce energy consumption and increase the user comfort. In this paper, we propose an intelligent context-awareness Building Energy Management System (ICA-BEMS). ICA-BEMS uses hybrid energy-saving techniques based on a Smart Context-Awareness Management (Smart-CAM). Smart-CAM uses smart building ontology to organize smart building knowledge and utilizes a new context-awareness mechanism to provide contextual information. The former exploits the contextual information in reasoning to reduce the building energy consumption, promoting users behavioral change and maximizing the user’s comfort to bring about a better energy efficiency policy. To evaluate our system, we have developed a smart building simulator (Open-SBS) which simulates smart building comportments and human behaviors. We have created various scenarios of daily life in the smart building simulator. We have tested our ICA-BEMS effect on energy consumption having a positive result. Energy consumption has been decreased by 40% of total energy consumption.

Introduction

In the ubiquitous computing environment, every day technology produces new devices, services, and systems to make our daily life easier and comfortable. The building is one of the most important places in people’s everyday life. 90% of people spend most of their time in buildings [1]. Smart building is an important research area of ubiquitous computing. Knowing that global primary energy demand will grow by 31% between 2012 and 2035 and energyrelated CO2 emissions increase by 18.1% [2]. The commercial and residential building accounts for about 20% of the world’s total energy consumption [3]. The energy demand in this sector grows faster than other areas throughout some projections [3]. Energy efficiency has significant gains like saving money and good impact on the environment. Therefore several works have been conducted to saving energy [4–۸]. Such as the ones made by the major Information and Communication Technology (ICT) enterprises, as IBM, MONI, Control4, and Samsung who have created their own Building Management System (BMS). In our case, we are interested in BEMS (Building Energy Management System). There are two types of BEMS: Actives and Passives. The passive methods collect environment data, devices information and past energy use in a smart building. This information is used to provide new decisions to make the best saving energy policy in the future. These methods are easy to apply. Moreover, they are faster, cheaper and better for small buildings. Active methods operate at a level of intelligence and automation. BEMS have sensors, meters, and devices to control building in real-time to reduce energy consumption.

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