مقاله انگلیسی رایگان در مورد پیش بینی انرژی مبدل حرارتی زمین گرمایی بر اساس سری زمانی – الزویر ۲۰۱۹

elsevier

 

مشخصات مقاله
ترجمه عنوان مقاله پیش بینی انرژی مبدل حرارتی زمین گرمایی بر اساس سری زمانی و بهینه سازی سنسورهای کنترل
عنوان انگلیسی مقاله Geothermal heat exchanger energy prediction based on time series and monitoring sensors optimization
انتشار مقاله سال ۲۰۱۹
تعداد صفحات مقاله انگلیسی ۳۳ 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)
۶٫۱۵۳ در سال ۲۰۱۸
شاخص H_index ۱۵۸ در سال ۲۰۱۹
شاخص SJR ۲٫۰۴۸ در سال ۲۰۱۸
شناسه ISSN ۰۳۶۰-۵۴۴۲
شاخص Quartile (چارک) Q1 در سال ۲۰۱۸
مدل مفهومی ندارد
پرسشنامه ندارد
متغیر ندارد
رفرنس دارد
رشته های مرتبط مهندسی انرژی
گرایش های مرتبط انرژی های تجدیدپذیر، سیستم های انرژی
نوع ارائه مقاله
ژورنال
مجله انرژی – Energy
دانشگاه Universidad de Burgos, Departamento de Ingeniería Civil, C/ Francisco de Vitoria, s/n, 09006, Burgos, Spain
کلمات کلیدی مدل سازی سری زمانی، TDNNA ،RIMA، رگرسیون ریج، درختان تصمیم، MLP
کلمات کلیدی انگلیسی Time series modeling، TDNNA، RIMA، Ridge regression، Decision trees، MLP
شناسه دیجیتال – doi
https://doi.org/10.1016/j.energy.2018.12.207
کد محصول E11583
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- Case of study

۳- Regression models description

۴- Experimental set up

۵- Experiment results

۶- Conclusions and future work

References

 

بخشی از متن مقاله:

Abstract

In recent years, the use of renewable energies has been promoted in most of developed countries due to the climate change threat. In this scenario, the importance of geothermal installations has increased. This paper focuses on a heat exchanger present on a geothermal installation. The main aim is to achieve an accurate prediction system using the previous readings of some of the sensors located along the heat exchanger. Different time series modeling techniques were applied obtaining satisfactory results in the prediction of the heat exchanger state during one year. This prediction is made 1 h, 3 h and 6 h in advance. Also, a strong correlation between the sensor readings is concluded, offering the possibility to dispense some of them.

Introduction

In last decades, the world is facing fast changes in terms of economic global instability, increase in competitiveness and climate change [1]. Under these circumstances, the rising price of raw materials and a high fossil fuels dependency, with the corresponding environment damage, led to an intensification in the use of alternative energy resources [2]. The supply of renewable energies is unlimited, and its use is relatively clean. For these reasons, during last decades, many governments have promoted policies that encourage the use of these kind of energies [3]. Usually, solar and wind are the most used alternative energies, and therefore, their technologies have experienced an intense development. However, nowadays, the field of renewable energies have presented significant advances in other disciplines such as geothermal or ocean energies [4]. These advances are aimed at narrowing the implantation costs and increasing the efficiency. Some researches are focused on developing new methods or optimizing existing ones in energy installations [5]. In some systems, different renewable energies like geothermal and solar are combined to improve the efficiency [6]. This paper focuses on a geothermal energy installation. Geothermal is defined as the energy stored in form of heat inside the earth under the ground [7]. Different works estimate that the whole amount of heat flowing from inside the earth is around 42 × ۱۰۱۲ W [7]. Only the 2 % of this energy comes from the crust, the 82 % comes from the mantle due to the decay of radioactive isotopes of uranium, potassium and thorium and the remaining percentage is generated at the core. Despite the vast amount of energy, its use is limited to specific areas with proper geological conditions [8]. At the beginning of twenty first century, the use of geothermal energy to produce electricity had an installed capacity of almost 9 MW, while its use in non-electrical applications represented about 15 MW. The use of nonelectrical geothermal energy is extended in applications like heat pumps, bathing, space heating, green houses, aquaculture and industrial processes [7]. A heat pump is employed to provide thermal energy obtained from an external source to a facility [9]. The external source can be hot or cold, leading the first one to higher efficiency. In geothermal heat pumps, the thermal source is hot and the heat exchanger installation can be placed in horizontal or vertical configurations [10, 11].

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