Optimal energy management of TLC plants using low cost Wireless Sensor Network based monitoring system and a simulation model for data analysis

Genova, F.; Gaspardone, Marco; Cuda, Alberto; Beoni, Maurizio; Fici, Gian Piero; Sorrentino, Marco

doi:10.1109/intlec.2009.5351811

Cited by 9 publications

(7 citation statements)

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“…Then, on the basis of the reference data calculated via the procedure described in Section 5.2 (see Table 5), the diagnostic procedure consisting of the FSM presented in Table 4 was utilized in Section 7, aiming at testing the reliability of proposed symptoms to fault correlations found and justified in Section 6. It is finally worth mentioning here that all variables and measurements recalled and shown in all the following figures and tables are provided by the WSN data acquisition platform presented in Reference 7.…”

Section: Resultsmentioning

confidence: 99%

“…The sensors of the TIM WSNs 7 consist of, destined to the monitoring of the most important electrical consumption related variables, are listed below: THL, measuring Temperature, Humidity, and Light; AC (alternating current); DC (direct current). …”

Section: Generic Tlc‐cof and Associated Monitorable Variablesmentioning

confidence: 99%

“…The central value of this bin is η max freq . All the elements of the array η ES falling outside a safe range (determined through a trial and error analysis carried-out on all examined COFs) of δ = 10% around η max freq are removed, obtaining an array of reliable data, as described in Equation (7). It is worth remarking here that the above-mentioned trial-and-error task was carried-out empirically, following the indications provided by TLC operators.…”

Section: Automatic Data-driven Procedures For Nominal Energy Behavior...mentioning

confidence: 99%

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Development and experimental verification of data‐driven approaches to real‐time energy monitoring and diagnosis of telecommunication sites

Malafronte

Sorrentino

Trifirò³

2021

Intl J of Energy Research

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The paper presents a diagnostic tool aimed at improving energy conservation and thermal management within telecommunication sites. Malfunctions of data acquisition and electronic and cooling systems were analyzed. Fault tree analysis methodology was applied to develop the targeted fault signature matrix-based detection and isolation schemes. Specifically in this work, an automatic data-driven procedure, relying on physical and statistical knowledge, was conceived to get full and measurement-uncertainties-free energy characterization of telecommunication sites in non-faulty conditions, also distinguishing pure central offices from multi-use central offices (eg, combined TLC rooms and offices), with the introduction of a synthetic and easy-tocalculate threshold. According to this threshold, a TLC site is classified as a multi-use central office if the auxiliaries absorb more than 10% of the total energy consumption of the site. The developed tool allows for the valorization and processing of the available measurements, without any additional modification of the existing network. Experimental verification allowed confirming the applicability of proposed diagnostic procedure as a data-driven energy intelligence tool to simplify and lean maintenance operations. Main achievements were accomplished only relying on electricity measurements, thus positively influencing sensing costs and reliability. The proposed procedure contributed to achieving up to 11% yearly energy savings in high energy demanding central office without additional sensor costs, thus being strategic for implementing new regulatory standards, as well as reducing the impact of thermal management on telecommunication sites energy consumption.

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Section: Resultsmentioning

confidence: 99%

Section: Generic Tlc‐cof and Associated Monitorable Variablesmentioning

confidence: 99%

Section: Automatic Data-driven Procedures For Nominal Energy Behavior...mentioning

confidence: 99%

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Development and experimental verification of data‐driven approaches to real‐time energy monitoring and diagnosis of telecommunication sites

Malafronte

Sorrentino

Trifirò³

2021

Intl J of Energy Research

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“…Due to the enormous number of conventional and non-conventional water resources in UAE and due to their wide spread all over the country (figs. [3][4][5][6], the fulfillment of high standard water quality monitoring requirements using conventional sampling and laboratory-based techniques is difficult, expensive, and unreliable.…”

Section: Introductionmentioning

confidence: 99%

“…Wireless communication based monitoring and control systems have become very popular for the last couple of years as they reduce the complexity related to the installation and maintenance of the system compared to its wired counterpart [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. A typical wireless monitoring and control system comprises battery operated and low power wireless sensors and actuators.…”

Section: Introductionmentioning

confidence: 99%

A reliable low cost integrated wireless sensor network for water quality monitoring and level control system in UAE

Abou‐Elnour

Khaleeq

Abou-Elnour³

2016

SPIE Proceedings

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In the present work, wireless sensor network and real-time controlling and monitoring system are integrated for efficient water quality monitoring for environmental and domestic applications. The proposed system has three main components (i) the sensor circuits, (ii) the wireless communication system, and (iii) the monitoring and controlling unit. LabView software has been used in the implementation of the monitoring and controlling system. On the other hand, ZigBee and myRIO wireless modules have been used to implement the wireless system. The water quality parameters are accurately measured by the present computer based monitoring system and the measurement results are instantaneously transmitted and published with minimum infrastructure costs and maximum flexibility in term of distance or location. The mobility and durability of the proposed system are further enhanced by fully powering via a photovoltaic system. The reliability and effectiveness of the system are evaluated under realistic operating conditions.

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References

2012

Distributed Sensor Systems

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Optimal energy management of TLC plants using low cost Wireless Sensor Network based monitoring system and a simulation model for data analysis

Cited by 9 publications

References 1 publication

Development and experimental verification of data‐driven approaches to real‐time energy monitoring and diagnosis of telecommunication sites

Development and experimental verification of data‐driven approaches to real‐time energy monitoring and diagnosis of telecommunication sites

A reliable low cost integrated wireless sensor network for water quality monitoring and level control system in UAE

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