scholarly journals DC Microgrid Planning, Operation, and Control: A Comprehensive Review

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Fahad Saleh Al-Ismail
Keyword(s):  
Dc Microgrid ◽  
Comprehensive Review ◽  
And Control

A Comprehensive Review on Blast Furnace

2018 ◽  
Vol 4 (11) ◽  
pp. 6
Author(s):  
Upendra Kumar ◽  
Avinash Patidar ◽  
Bhupendra Koshti
Keyword(s):  
Blast Furnace ◽  
Metallurgical Coke ◽  
Waste Plastics ◽  
Blast Furnaces ◽  
Liquid Hydrocarbons ◽  
Comprehensive Review ◽  
Global Performance ◽  
Flow Heat ◽  
And Control ◽  
Recycled Waste

The design and control of blast furnace (BF) ironmaking must be optimized in order to be competitive and sustainable, particularly under the more and more demanding and tough economic and environmental conditions. To achieve this, it is necessary to understand the complex multiphase flow, heat and mass transfer, and global performance of a BF. In this paper injection of alternative reducing agents via lances in the tubers of blast furnaces is discussed to reduce the consumption of metallurgical coke. Besides liquid hydrocarbons and pulverized coal the injection of recycled waste plastics is possible, offering the opportunity to chemically reuse waste material and also utilize the energy contained in such remnants.

A High Gain Novel Double-Boost Converter for DC Microgrid Applications

2020 ◽  
Vol 29 (15) ◽  
pp. 2050246 ◽  
Author(s):  
B. N. Ch. V. Chakravarthi ◽  
G. V. Siva Krishna Rao
Keyword(s):  
Control Strategies ◽  
High Gain ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Dc Microgrid ◽  
Boost Converters ◽  
Power Point ◽  
Solar Photovoltaic System ◽  
Conversion Stage ◽  
And Control

In solar photovoltaic (PV)-based DC microgrid systems, the voltage output of the classical DC–DC converter produces very less voltage as a result of poor voltage gain. Therefore, cascaded DC–DC boost converters are mandatory for boosting the voltage to match the DC microgrid voltage. However, the number of devices utilized in the DC–DC conversion stage becomes higher and leads to more losses. Thereby, it affects the system efficiency and increases the complication of the system and cost. In order to overcome this drawback, a novel double-boost DC–DC converter is proposed to meet the voltage in DC microgrid. Also, this paper discusses the detailed operation of maximum power point (MPP) tracking techniques in the novel double-boost DC–DC converter topology. The fundamental [Formula: see text]–[Formula: see text] and [Formula: see text]–[Formula: see text] characteristics of solar photovoltaic system, operational details of MPP execution and control strategies for double-boost DC/DC converter are described elaborately. The proposed converter operation and power injection into the DC microgrid are verified through the real-time PSCAD simulation and the validation is done through the experiment with hardware module which is indistinguishable with the simulation platform.

Analysis and Control of a Novel Modular-Based Energy Router for DC Microgrid Cluster

2019 ◽  
Vol 7 (1) ◽  
pp. 331-342 ◽  
Author(s):  
Chunming Tu ◽  
Fan Xiao ◽  
Zheng Lan ◽  
Qi Guo ◽  
Zhikang Shuai
Keyword(s):  
Dc Microgrid ◽  
And Control

scholarly journals Arcobacter: an emerging food-borne zoonotic pathogen, its public health concerns and advances in diagnosis and control – a comprehensive review

2017 ◽  
Vol 37 (1) ◽  
pp. 136-161 ◽  
Author(s):  
Thadiyam Puram Ramees ◽  
Kuldeep Dhama ◽  
Kumaragurubaran Karthik ◽  
Ramswaroop Singh Rathore ◽  
Ashok Kumar ◽  
...  
Keyword(s):  
Public Health ◽  
Comprehensive Review ◽  
Health Concerns ◽  
Zoonotic Pathogen ◽  
Food Borne ◽  
And Control

Eine bibliometrische Analyse/PPC and machine learning A bibliometric analysis

2020 ◽  
Vol 110 (04) ◽  
pp. 220-225
Author(s):  
Matthias Schmidt ◽  
Janine Tatjana Maier ◽  
Mark Grothkopp
Keyword(s):  
Machine Learning ◽  
State Of The Art ◽  
Dynamic Environment ◽  
Production Planning And Control ◽  
Manufacturing Companies ◽  
Comprehensive Review ◽  
Planning And Control ◽  
Individual Task ◽  
The Individual ◽  
And Control

Produzierende Unternehmen stehen in einem dynamischen Umfeld vor der Herausforderung eine zunehmende Datenmenge effizienter zu verarbeiten. In diesem Zusammenhang werden häufig Ansätze des maschinellen Lernens (ML) diskutiert. Der Beitrag stellt eine umfassende Aufarbeitung des Stands der Forschung bezogen auf den Einsatz von ML-Ansätzen in der Produktionsplanung und -steuerung (PPS) bereit. Daraus lässt sich der Forschungsbedarf in den einzelnen Aufgabengebieten der PPS ableiten.   In a dynamic environment, manufacturing companies face the challenge of processing an increasing amount of data more efficiently. In this context, approaches of machine learning (ML) are often discussed. This paper provides a comprehensive review of the state of the art regarding the use of ML approaches in production planning and control (PPC). Based on this, the need for research in the individual task areas of PPC can be derived.

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