Hossam A.Gabbar - Academia.edu (original) (raw)

Papers by Hossam A.Gabbar

2019 IEEE 7th International Conference on Smart Energy Grid Engineering (SEGE), 2019

In recent time, researchers are aiming to integrate renewable energy with nuclear energy to utili... more In recent time, researchers are aiming to integrate renewable energy with nuclear energy to utilize the energy infrastructure at its best or to meet the local energy demand, especially for the remote places. In this paper, the feasibility analysis of the nuclear-renewable energy system is conducted by HOMER (Hybrid Optimization Models for Energy Resources) software. This paper considers three modes of power supply; only renewable energy, only Nuclear Power Plant (NPP), and integration of both nuclear-renewable energy; to meet the electric demand. The simulation results show that the grid-connected Nuclear-Renewable Micro Hybrid Energy System (N-R MHES) is the most feasible option to meet the sizeable electrical power demand. The paper also sets the analysis guidance and criteria for the three power supply mode depending on the annual load profile of a facility.

2019 IEEE 7th International Conference on Smart Energy Grid Engineering (SEGE), 2019

This paper presents a novel artificial electric field algorithm (AEFA) to solve the problem of op... more This paper presents a novel artificial electric field algorithm (AEFA) to solve the problem of optimal locations and sizes of capacitor banks (C-Bs) in various configurations of radial distribution systems. Two strategies are considered in this study; first, using combined loss sensitivity factor and AEFA and second, using AEFA only. The objective function is to maximize the annual net saving of loss reduction. The proposed algorithm is tested on 69-bus and 118-bus radial distribution systems with different scenarios of single and multi-C-Bs installation. The simulation results using Matlab programming environment show that the proposed method is able to maximize the annual net saving with a small capacity of C-Bs. Moreover, the obtained results via the proposed algorithm are compared with other optimization methods such as genetic algorithm, particle swarm optimization, plant growth simulation algorithm, cuckoo search algorithm, flower pollination algorithm, fuzzy-genetic algorithm, and evolutionary algorithm to highlight the benefits of the presented algorithm.

Alexandria Engineering Journal, 2016

Transportation represents major energy consumption where fuel is considered as a primary energy s... more Transportation represents major energy consumption where fuel is considered as a primary energy source. Recent development in the vehicle technology revealed possible economical improvements when using natural gas as a fuel source instead of traditional gasoline. There are several fuel alternatives such as electricity, which showed potential for future long-term transportation. However, the move from current situation where gasoline vehicle is dominating shows high cost compared to compressed natural gas vehicle. This paper presents modeling and simulation methodology to optimize performance of transportation based on quantitative study of the risk-based performance of regional transportation. Emission estimation method is demonstrated and used to optimize transportation strategies based on life cycle costing. Different fuel supply scenarios are synthesized and evaluated, which showed strategic use of natural gas as a fuel supply.

Sustainability, 2017

In this paper, an integrated gasification combined cycle conceptual design that achieves optimum ... more In this paper, an integrated gasification combined cycle conceptual design that achieves optimum energy efficiency and 82.9% heat integration between hot and cold utilities is illustrated. The integrated combined gasification cycle (IGCC) is also modeled and evaluated for the co-production of electricity, ammonia and methane for 543.13 kilo tonne per annum (KTA) of municipal solid waste (MSW). The final products are 1284.89 MW, 8731.07 kg/h of liquid ammonia at 8 • C and 32,468 kg/h of methane gas at 271 • C. The conceptual design includes advanced heat integration between syngas and hot and cold streams in all process units. The water gas shift (WGS) unit includes integration between equilibrium reactors and cold streams. The air separation unit (ASU) includes four air compressors followed by a pressure swing adsorber (PSA), which separates oxygen and nitrogen gases into separate streams. Both O 2 and N 2 gases are compressed and sent to gasifier and syngas cleaning unit, respectively. The overall design shows reliability and solved steady state equations for all process units with improvements in thermal efficiency in comparison with single cycle gasification plants. The environmental emissions for GHGs such CO 2 and SO 2 are lower due to higher overall energy efficiency.

2016 IEEE Smart Energy Grid Engineering (SEGE), 2016

The research target is the development of the DC/DC converter for charging from 200V NiMH or Li-I... more The research target is the development of the DC/DC converter for charging from 200V NiMH or Li-Ion battery to 12V Lead-acid storage battery in hybrid cars such as Toyota Prius. In car, a 12V Lead-acid storage battery is used to operate air conditioner, main lights and various actuators in engine control unit etc. Before the lead-acid battery ends up all the discharge, it should be charged using the alternator. In order to improve fuel efficiency, it is necessary to implement a so-called charge control, where the battery charge is executed in deceleration period avoiding the acceleration period of the car. In Hybrid cars, as a high voltage NiMH battery is equipped, it is possible to charge 12V Lead-acid storage battery from the high voltage battery. By using this scheme, it is realized not only to take off the alternator but also to improve braking touch for the car driver, because all regenerative energy can be absorbed in the high voltage battery. Furthermore the fuel efficiency can be improved easily for the reason why the efficiency of DC/DC converter is much higher than that of alternator.

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE), 2015

Maintaining voltage level stability of islanded mode Micro Grids (MG) is a challenging objective ... more Maintaining voltage level stability of islanded mode Micro Grids (MG) is a challenging objective due to the limited power flow between sources and loads. The objective of this work is to enhance the dynamic performance of islanded mode Micro grid in the presence of load disturbance using static VAR compensator (SVC). The contribution of this work is the implementation of PI fuzzy model reference learning controller (FMRLC) to SVC control loop. The control algorithm compensates for nonlinearity possessed by MG where fuzzy membership functions and implication imbedded in both controller and inverse model that achieve better presentation of both uncertainty and nonlinearity of the power system dynamics. Hence, MG keeps desired performance as required irrespective of the operating condition. In addition, learning capabilities of the proposed control algorithm compensates for grid parameter variation even with inadequate information about mathematical presentation of load dynamics. The reference model was designed to reject bus voltage disturbance, created by load and wind variation, with achievable desired performance. Accordingly, SVC with fuzzy controller was able to reject bus voltage disturbance by matching closely the reference model performance. Simulations were carried out to study the steady-state and transient performance of MG in islanded mode. The MG is composed of a PV bus supplied by wind turbine and induction generator, a PQ bus connected to nonlinear dynamic load and linear load, a single distribution line connecting the two buses, and SVC. The proposed control algorithm robustness was tested by providing load disturbance in different operating conditions and observing the system dynamic performance. The performance of the proposed controller is compared to a conventional PID controller using overshoot, transient oscillation, Integral-of-Time Multiplied Absolute Error (ITMAE), and integral square error (ISE) as performance parameters. Both ITMAE and ISE values for the proposed controller were much less than conventional PID controller. In addition, for the proposed controller, ITMAE values sustained stable increase while PID controller ITMAE values increased exponentially. These results indicates the progress achieved by proposed controller to enhance disturbance rejection with time due to learning process.

2012 International Conference on Smart Grid (SGE), 2012

Micro grid is a localized grouping of distributed generation, storage system and load, all operat... more Micro grid is a localized grouping of distributed generation, storage system and load, all operating as a single system and providing electric power and heat. It can either operate in parallel to the main grid or in an islanded mode in case of faults in the grid. However, technical challenges of current practices include distribution protection, control and fault diagnosis, protection strategies and load management. This paper demonstrates the development of advanced automated fault detection, diagnosis and protection system and algorithms for the micro grid system using fault semantic network.

2012 International Conference on Smart Grid (SGE), 2012

Energies, 2018

Recently, significant development has occurred in the field of microgrid and renewable energy sys... more Recently, significant development has occurred in the field of microgrid and renewable energy systems (RESs). Integrating microgrids and renewable energy sources facilitates a sustainable energy future. This paper proposes a control algorithm and an optimal energy management system (EMS) for a grid-connected microgrid to minimize its operating cost. The microgrid includes photovoltaic (PV), wind turbine (WT), and energy storage systems (ESS). The interior search algorithm (ISA) optimization technique determines the optimal hour-by-hour scheduling for the microgrid system, while it meets the required load demand based on 24-h ahead forecast data. The control system consists of three stages: EMS, supervisory control and local control. EMS is responsible for providing the control system with the optimum day-ahead scheduling power flow between the microgrid (MG) sources, batteries, loads and the main grid based on an economic analysis. The supervisory control stage is responsible for compensating the mismatch between the scheduled power and the real microgrid power. In addition, this paper presents the local control design to regulate the local power, current and DC voltage of the microgrid. For verification, the proposed model was applied on a real case study in Oshawa (Ontario, Canada) with various load conditions.

Multiple premature failures of a gearbox in a wind turbine pose a high risk of increasing the ope... more Multiple premature failures of a gearbox in a wind turbine pose a high risk of increasing the operational and maintenance costs and decreasing the profit margins. Prognostics and health management (PHM) techniques are widely used to assess the current health condition of the gearbox and project it in future to predict premature failures. This paper proposes such techniques for predicting gearbox health condition index extracted from the vibration signals. The progression of the monitoring index is predicted using two different prediction techniques, adaptive neuro-fuzzy inference system (ANFIS) and nonlinear autoregressive model with exogenous inputs (NARX). The proposed prediction techniques are evaluated through sun-spot dataset and applied on vibration based health related monitoring index calculated through psychoacoustic phenomenon. A comparison is given for their prediction accuracy. The results are helpful in understanding the relationship of machine conditions, the correspon...

Multiple premature failures of a gearbox in a wind turbine pose a high risk of increasing the ope... more Multiple premature failures of a gearbox in a wind turbine pose a high risk of increasing the operational and maintenance costs and decreasing the profit margins. Prognostics and health management (PHM) techniques are widely used to assess the current health condition of the gearbox and project it in future to predict premature failures. This paper proposes such techniques for predicting gearbox health condition index extracted from the vibration signals. The progression of the monitoring index is predicted using two different prediction techniques, adaptive neuro-fuzzy inference system (ANFIS) and nonlinear autoregressive model with exogenous inputs (NARX). The proposed prediction techniques are evaluated through sun-spot dataset and applied on vibration based health related monitoring index calculated through psychoacoustic phenomenon. A comparison is given for their prediction accuracy. The results are helpful in understanding the relationship of machine conditions, the correspon...

This study offers a fully automatic BBN-ANFIS-based model of online condition monitoring system f... more This study offers a fully automatic BBN-ANFIS-based model of online condition monitoring system for a resilient MEG using FPGA chips. A direct connection of a FPGA-ZedBoard with on-field sensors is proposed in this study. The design enables real-time concurrent measurements of MEG's fault diagnosis assessment by mean of a hybrid BBN and ANFIS based model. The BBN capable to form a consistent function of MEG's uncertainty based on experts contribution more than the data from measurement instruments (I&Cs). The proposed method shows a capability to predict failure-sources by fault-assessment computation process of observation symptoms. The proposed hybrid model aids engineering crew to make the optimum decision.

Energy, 2020

Stand Alone Microgrids provide electric energy to isolated communities when the grid’s extension ... more Stand Alone Microgrids provide electric energy to isolated communities when the grid’s extension is not feasible. However, Stand Alone Microgrids face technical, financial, and regulatory challenges before reaching most rural populations. This paper explores how energy tariffs and public subsidies for rural electrification are related to the optimal operation and design of Stand Alone Microgrids. It aims to propose a holistic methodology to determine the optimal sizing, optimal energy management, optimal tariffs, and public subsidies for Stand Alone Microgrids using Disciplined Convex Programming. The study guarantees the convexity of the proposed formulation and the uniqueness of the optimal solution by following the rules of Disciplined Convex Programming. A case study shows a non-negligible impact of time-varying tariffs over the sizing, energy management, and fuel consumption. Compared with flat tariffs, using a variable tariff reduces costumers’ payments up to 21% and diesel consumption of 11%. However, investor profits can be reduced by up to 18%. In this regard, the study reveals and propose a solution to the challenge that governments and policymakers face trying to define tariffs to attract private investors interest in funding rural electrification projects on one side, and create fair tariffs for the customers on the other side.

Energies, 2017

The exponential increase of plastic production produces 100 million tonnes of waste plastics annu... more The exponential increase of plastic production produces 100 million tonnes of waste plastics annually which could be converted into hydrocarbon fuels in a thermal cracking process called pyrolysis. In this research work, a direct current (DC) thermal plasma circuit is designed and used for conversion of low density polyethylene (LDPE) into diesel oil in a laboratory scale pyrolysis reactor. The experimental setup uses a 270 W DC thermal plasma at operating temperatures in the range of 625 • C to 860 • C for a low density polyethylene (LDPE) pyrolysis reaction at pressure = −0.95, temperature = 550 • C with τ = 30 min at a constant heating rate of 7.8 • C/min. The experimental setup consists of a vacuum pump, closed system vessel, direct current (DC) plasma circuit, and a k-type thermocouple placed a few millimeters from the reactant sample. The hydrocarbon products are condensed to diesel oil and analyzed using flame ionization detector (FID) gas chromatography. The analysis shows 87.5% diesel oil, 1,4-dichlorobenzene (Surr), benzene, ethylbenzene and traces of toluene and xylene. The direct current (DC) thermal plasma achieves 56.9 wt. % of diesel range oil (DRO), 37.8 wt. % gaseous products and minimal tar production. The direct current (DC) thermal plasma shows reliability, better temperature control, and high thermal performance as well as the ability to work for long operation periods.

Computer Aided Chemical Engineering, 2001

The irregularity of a graph G is defined as the sum of weights |d(u) − d(v)| of all edges uv of G... more The irregularity of a graph G is defined as the sum of weights |d(u) − d(v)| of all edges uv of G, where d(u) and d(v) are the degrees of the vertices u and v in G, respectively. In this paper, some structural properties on trees with maximum (or minimum) irregularity among trees with given degree sequence and trees with given branching number are explored, respectively. Moreover, the corresponding trees with maximum (or minimum) irregularity are also found, respectively.

2018 International Conference on Smart Energy Systems and Technologies (SEST), 2018

The present work investigates the feasibility of improving the global energy efficiency of a petr... more The present work investigates the feasibility of improving the global energy efficiency of a petrochemical industry through the combination of an organic Rankine cycle with the refrigeration system of two specific copolymerization processes. The proposed energy system allows the production of electricity from industrial waste heats and simultaneously provides an alternative solution to improve the regulation of the reaction temperatures in the process. The performances of a supercritical and a subcritical ORC are compared at steady-state conditions. Main simulation results show the feasibility of implementing the proposed combined system. It is proven that the electrical energy produced through the present proposal can reach ∼40 % of the electrical energy demanded by the refrigeration system.

2019 IEEE 7th International Conference on Smart Energy Grid Engineering (SEGE), 2019

This paper presents the frequency control of the microgrid system using Fractional Order PID cont... more This paper presents the frequency control of the microgrid system using Fractional Order PID controller (FOPID). This microgrid is composed of wind and SPG generators, Diesel Engine Generator (DEG), Aqua Electrolyse (AE), Fuel Cell (FC) and Energy Storage Systems (Battery Energy Storage Systems (BESS) and Flywheel Energy Storage Systems (FESS)). Genetic Algorithm is used to optimize the parameters of the Fractional Order PID controller. The main of this study is to reduce the frequency and power deviation. The results give that the Fractional Order PID controller based on GA gives better performance in comparing with PID controller using GA.

Energy Conservation in Residential, Commercial, and Industrial Facilities, 2018

2018 International Conference on Renewable Energy and Power Engineering (REPE), 2018

This paper presents the design of resilient interconnected microgrids to provide clean and cheap ... more This paper presents the design of resilient interconnected microgrids to provide clean and cheap energy to subway infrastructures during normal and emergency operational scenarios based on different mobility models. The proposed microgrid will include hybrid energy storage of flywheel and battery systems, which will provide flexible and adaptive energy supply in view of subway loads. The interconnected microgrids will ensure profitable operation with consideration of fluctuation of energy prices and the interactions among different utilities around the subways. In addition, the proposed solution will ensure sustained and high performance energy supply in different operational and mobility scenarios. Integrated control architecture is proposed to ensure local and supervisory control and management of the interconnected microgrids with best utilization of energy storage systems through braking moments. The proposed solution has been demonstrated using simulation and real data, where t...

2019 IEEE 7th International Conference on Smart Energy Grid Engineering (SEGE), 2019

In recent time, researchers are aiming to integrate renewable energy with nuclear energy to utili... more In recent time, researchers are aiming to integrate renewable energy with nuclear energy to utilize the energy infrastructure at its best or to meet the local energy demand, especially for the remote places. In this paper, the feasibility analysis of the nuclear-renewable energy system is conducted by HOMER (Hybrid Optimization Models for Energy Resources) software. This paper considers three modes of power supply; only renewable energy, only Nuclear Power Plant (NPP), and integration of both nuclear-renewable energy; to meet the electric demand. The simulation results show that the grid-connected Nuclear-Renewable Micro Hybrid Energy System (N-R MHES) is the most feasible option to meet the sizeable electrical power demand. The paper also sets the analysis guidance and criteria for the three power supply mode depending on the annual load profile of a facility.

2019 IEEE 7th International Conference on Smart Energy Grid Engineering (SEGE), 2019

This paper presents a novel artificial electric field algorithm (AEFA) to solve the problem of op... more This paper presents a novel artificial electric field algorithm (AEFA) to solve the problem of optimal locations and sizes of capacitor banks (C-Bs) in various configurations of radial distribution systems. Two strategies are considered in this study; first, using combined loss sensitivity factor and AEFA and second, using AEFA only. The objective function is to maximize the annual net saving of loss reduction. The proposed algorithm is tested on 69-bus and 118-bus radial distribution systems with different scenarios of single and multi-C-Bs installation. The simulation results using Matlab programming environment show that the proposed method is able to maximize the annual net saving with a small capacity of C-Bs. Moreover, the obtained results via the proposed algorithm are compared with other optimization methods such as genetic algorithm, particle swarm optimization, plant growth simulation algorithm, cuckoo search algorithm, flower pollination algorithm, fuzzy-genetic algorithm, and evolutionary algorithm to highlight the benefits of the presented algorithm.

Alexandria Engineering Journal, 2016

Transportation represents major energy consumption where fuel is considered as a primary energy s... more Transportation represents major energy consumption where fuel is considered as a primary energy source. Recent development in the vehicle technology revealed possible economical improvements when using natural gas as a fuel source instead of traditional gasoline. There are several fuel alternatives such as electricity, which showed potential for future long-term transportation. However, the move from current situation where gasoline vehicle is dominating shows high cost compared to compressed natural gas vehicle. This paper presents modeling and simulation methodology to optimize performance of transportation based on quantitative study of the risk-based performance of regional transportation. Emission estimation method is demonstrated and used to optimize transportation strategies based on life cycle costing. Different fuel supply scenarios are synthesized and evaluated, which showed strategic use of natural gas as a fuel supply.

Sustainability, 2017

In this paper, an integrated gasification combined cycle conceptual design that achieves optimum ... more In this paper, an integrated gasification combined cycle conceptual design that achieves optimum energy efficiency and 82.9% heat integration between hot and cold utilities is illustrated. The integrated combined gasification cycle (IGCC) is also modeled and evaluated for the co-production of electricity, ammonia and methane for 543.13 kilo tonne per annum (KTA) of municipal solid waste (MSW). The final products are 1284.89 MW, 8731.07 kg/h of liquid ammonia at 8 • C and 32,468 kg/h of methane gas at 271 • C. The conceptual design includes advanced heat integration between syngas and hot and cold streams in all process units. The water gas shift (WGS) unit includes integration between equilibrium reactors and cold streams. The air separation unit (ASU) includes four air compressors followed by a pressure swing adsorber (PSA), which separates oxygen and nitrogen gases into separate streams. Both O 2 and N 2 gases are compressed and sent to gasifier and syngas cleaning unit, respectively. The overall design shows reliability and solved steady state equations for all process units with improvements in thermal efficiency in comparison with single cycle gasification plants. The environmental emissions for GHGs such CO 2 and SO 2 are lower due to higher overall energy efficiency.

2016 IEEE Smart Energy Grid Engineering (SEGE), 2016

The research target is the development of the DC/DC converter for charging from 200V NiMH or Li-I... more The research target is the development of the DC/DC converter for charging from 200V NiMH or Li-Ion battery to 12V Lead-acid storage battery in hybrid cars such as Toyota Prius. In car, a 12V Lead-acid storage battery is used to operate air conditioner, main lights and various actuators in engine control unit etc. Before the lead-acid battery ends up all the discharge, it should be charged using the alternator. In order to improve fuel efficiency, it is necessary to implement a so-called charge control, where the battery charge is executed in deceleration period avoiding the acceleration period of the car. In Hybrid cars, as a high voltage NiMH battery is equipped, it is possible to charge 12V Lead-acid storage battery from the high voltage battery. By using this scheme, it is realized not only to take off the alternator but also to improve braking touch for the car driver, because all regenerative energy can be absorbed in the high voltage battery. Furthermore the fuel efficiency can be improved easily for the reason why the efficiency of DC/DC converter is much higher than that of alternator.

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE), 2015

Maintaining voltage level stability of islanded mode Micro Grids (MG) is a challenging objective ... more Maintaining voltage level stability of islanded mode Micro Grids (MG) is a challenging objective due to the limited power flow between sources and loads. The objective of this work is to enhance the dynamic performance of islanded mode Micro grid in the presence of load disturbance using static VAR compensator (SVC). The contribution of this work is the implementation of PI fuzzy model reference learning controller (FMRLC) to SVC control loop. The control algorithm compensates for nonlinearity possessed by MG where fuzzy membership functions and implication imbedded in both controller and inverse model that achieve better presentation of both uncertainty and nonlinearity of the power system dynamics. Hence, MG keeps desired performance as required irrespective of the operating condition. In addition, learning capabilities of the proposed control algorithm compensates for grid parameter variation even with inadequate information about mathematical presentation of load dynamics. The reference model was designed to reject bus voltage disturbance, created by load and wind variation, with achievable desired performance. Accordingly, SVC with fuzzy controller was able to reject bus voltage disturbance by matching closely the reference model performance. Simulations were carried out to study the steady-state and transient performance of MG in islanded mode. The MG is composed of a PV bus supplied by wind turbine and induction generator, a PQ bus connected to nonlinear dynamic load and linear load, a single distribution line connecting the two buses, and SVC. The proposed control algorithm robustness was tested by providing load disturbance in different operating conditions and observing the system dynamic performance. The performance of the proposed controller is compared to a conventional PID controller using overshoot, transient oscillation, Integral-of-Time Multiplied Absolute Error (ITMAE), and integral square error (ISE) as performance parameters. Both ITMAE and ISE values for the proposed controller were much less than conventional PID controller. In addition, for the proposed controller, ITMAE values sustained stable increase while PID controller ITMAE values increased exponentially. These results indicates the progress achieved by proposed controller to enhance disturbance rejection with time due to learning process.

2012 International Conference on Smart Grid (SGE), 2012

Micro grid is a localized grouping of distributed generation, storage system and load, all operat... more Micro grid is a localized grouping of distributed generation, storage system and load, all operating as a single system and providing electric power and heat. It can either operate in parallel to the main grid or in an islanded mode in case of faults in the grid. However, technical challenges of current practices include distribution protection, control and fault diagnosis, protection strategies and load management. This paper demonstrates the development of advanced automated fault detection, diagnosis and protection system and algorithms for the micro grid system using fault semantic network.

2012 International Conference on Smart Grid (SGE), 2012

Energies, 2018

Recently, significant development has occurred in the field of microgrid and renewable energy sys... more Recently, significant development has occurred in the field of microgrid and renewable energy systems (RESs). Integrating microgrids and renewable energy sources facilitates a sustainable energy future. This paper proposes a control algorithm and an optimal energy management system (EMS) for a grid-connected microgrid to minimize its operating cost. The microgrid includes photovoltaic (PV), wind turbine (WT), and energy storage systems (ESS). The interior search algorithm (ISA) optimization technique determines the optimal hour-by-hour scheduling for the microgrid system, while it meets the required load demand based on 24-h ahead forecast data. The control system consists of three stages: EMS, supervisory control and local control. EMS is responsible for providing the control system with the optimum day-ahead scheduling power flow between the microgrid (MG) sources, batteries, loads and the main grid based on an economic analysis. The supervisory control stage is responsible for compensating the mismatch between the scheduled power and the real microgrid power. In addition, this paper presents the local control design to regulate the local power, current and DC voltage of the microgrid. For verification, the proposed model was applied on a real case study in Oshawa (Ontario, Canada) with various load conditions.

Multiple premature failures of a gearbox in a wind turbine pose a high risk of increasing the ope... more Multiple premature failures of a gearbox in a wind turbine pose a high risk of increasing the operational and maintenance costs and decreasing the profit margins. Prognostics and health management (PHM) techniques are widely used to assess the current health condition of the gearbox and project it in future to predict premature failures. This paper proposes such techniques for predicting gearbox health condition index extracted from the vibration signals. The progression of the monitoring index is predicted using two different prediction techniques, adaptive neuro-fuzzy inference system (ANFIS) and nonlinear autoregressive model with exogenous inputs (NARX). The proposed prediction techniques are evaluated through sun-spot dataset and applied on vibration based health related monitoring index calculated through psychoacoustic phenomenon. A comparison is given for their prediction accuracy. The results are helpful in understanding the relationship of machine conditions, the correspon...

Multiple premature failures of a gearbox in a wind turbine pose a high risk of increasing the ope... more Multiple premature failures of a gearbox in a wind turbine pose a high risk of increasing the operational and maintenance costs and decreasing the profit margins. Prognostics and health management (PHM) techniques are widely used to assess the current health condition of the gearbox and project it in future to predict premature failures. This paper proposes such techniques for predicting gearbox health condition index extracted from the vibration signals. The progression of the monitoring index is predicted using two different prediction techniques, adaptive neuro-fuzzy inference system (ANFIS) and nonlinear autoregressive model with exogenous inputs (NARX). The proposed prediction techniques are evaluated through sun-spot dataset and applied on vibration based health related monitoring index calculated through psychoacoustic phenomenon. A comparison is given for their prediction accuracy. The results are helpful in understanding the relationship of machine conditions, the correspon...

This study offers a fully automatic BBN-ANFIS-based model of online condition monitoring system f... more This study offers a fully automatic BBN-ANFIS-based model of online condition monitoring system for a resilient MEG using FPGA chips. A direct connection of a FPGA-ZedBoard with on-field sensors is proposed in this study. The design enables real-time concurrent measurements of MEG's fault diagnosis assessment by mean of a hybrid BBN and ANFIS based model. The BBN capable to form a consistent function of MEG's uncertainty based on experts contribution more than the data from measurement instruments (I&Cs). The proposed method shows a capability to predict failure-sources by fault-assessment computation process of observation symptoms. The proposed hybrid model aids engineering crew to make the optimum decision.

Energy, 2020

Stand Alone Microgrids provide electric energy to isolated communities when the grid’s extension ... more Stand Alone Microgrids provide electric energy to isolated communities when the grid’s extension is not feasible. However, Stand Alone Microgrids face technical, financial, and regulatory challenges before reaching most rural populations. This paper explores how energy tariffs and public subsidies for rural electrification are related to the optimal operation and design of Stand Alone Microgrids. It aims to propose a holistic methodology to determine the optimal sizing, optimal energy management, optimal tariffs, and public subsidies for Stand Alone Microgrids using Disciplined Convex Programming. The study guarantees the convexity of the proposed formulation and the uniqueness of the optimal solution by following the rules of Disciplined Convex Programming. A case study shows a non-negligible impact of time-varying tariffs over the sizing, energy management, and fuel consumption. Compared with flat tariffs, using a variable tariff reduces costumers’ payments up to 21% and diesel consumption of 11%. However, investor profits can be reduced by up to 18%. In this regard, the study reveals and propose a solution to the challenge that governments and policymakers face trying to define tariffs to attract private investors interest in funding rural electrification projects on one side, and create fair tariffs for the customers on the other side.

Energies, 2017

The exponential increase of plastic production produces 100 million tonnes of waste plastics annu... more The exponential increase of plastic production produces 100 million tonnes of waste plastics annually which could be converted into hydrocarbon fuels in a thermal cracking process called pyrolysis. In this research work, a direct current (DC) thermal plasma circuit is designed and used for conversion of low density polyethylene (LDPE) into diesel oil in a laboratory scale pyrolysis reactor. The experimental setup uses a 270 W DC thermal plasma at operating temperatures in the range of 625 • C to 860 • C for a low density polyethylene (LDPE) pyrolysis reaction at pressure = −0.95, temperature = 550 • C with τ = 30 min at a constant heating rate of 7.8 • C/min. The experimental setup consists of a vacuum pump, closed system vessel, direct current (DC) plasma circuit, and a k-type thermocouple placed a few millimeters from the reactant sample. The hydrocarbon products are condensed to diesel oil and analyzed using flame ionization detector (FID) gas chromatography. The analysis shows 87.5% diesel oil, 1,4-dichlorobenzene (Surr), benzene, ethylbenzene and traces of toluene and xylene. The direct current (DC) thermal plasma achieves 56.9 wt. % of diesel range oil (DRO), 37.8 wt. % gaseous products and minimal tar production. The direct current (DC) thermal plasma shows reliability, better temperature control, and high thermal performance as well as the ability to work for long operation periods.

Computer Aided Chemical Engineering, 2001

The irregularity of a graph G is defined as the sum of weights |d(u) − d(v)| of all edges uv of G... more The irregularity of a graph G is defined as the sum of weights |d(u) − d(v)| of all edges uv of G, where d(u) and d(v) are the degrees of the vertices u and v in G, respectively. In this paper, some structural properties on trees with maximum (or minimum) irregularity among trees with given degree sequence and trees with given branching number are explored, respectively. Moreover, the corresponding trees with maximum (or minimum) irregularity are also found, respectively.

2018 International Conference on Smart Energy Systems and Technologies (SEST), 2018

The present work investigates the feasibility of improving the global energy efficiency of a petr... more The present work investigates the feasibility of improving the global energy efficiency of a petrochemical industry through the combination of an organic Rankine cycle with the refrigeration system of two specific copolymerization processes. The proposed energy system allows the production of electricity from industrial waste heats and simultaneously provides an alternative solution to improve the regulation of the reaction temperatures in the process. The performances of a supercritical and a subcritical ORC are compared at steady-state conditions. Main simulation results show the feasibility of implementing the proposed combined system. It is proven that the electrical energy produced through the present proposal can reach ∼40 % of the electrical energy demanded by the refrigeration system.

2019 IEEE 7th International Conference on Smart Energy Grid Engineering (SEGE), 2019

This paper presents the frequency control of the microgrid system using Fractional Order PID cont... more This paper presents the frequency control of the microgrid system using Fractional Order PID controller (FOPID). This microgrid is composed of wind and SPG generators, Diesel Engine Generator (DEG), Aqua Electrolyse (AE), Fuel Cell (FC) and Energy Storage Systems (Battery Energy Storage Systems (BESS) and Flywheel Energy Storage Systems (FESS)). Genetic Algorithm is used to optimize the parameters of the Fractional Order PID controller. The main of this study is to reduce the frequency and power deviation. The results give that the Fractional Order PID controller based on GA gives better performance in comparing with PID controller using GA.

Energy Conservation in Residential, Commercial, and Industrial Facilities, 2018

2018 International Conference on Renewable Energy and Power Engineering (REPE), 2018

This paper presents the design of resilient interconnected microgrids to provide clean and cheap ... more This paper presents the design of resilient interconnected microgrids to provide clean and cheap energy to subway infrastructures during normal and emergency operational scenarios based on different mobility models. The proposed microgrid will include hybrid energy storage of flywheel and battery systems, which will provide flexible and adaptive energy supply in view of subway loads. The interconnected microgrids will ensure profitable operation with consideration of fluctuation of energy prices and the interactions among different utilities around the subways. In addition, the proposed solution will ensure sustained and high performance energy supply in different operational and mobility scenarios. Integrated control architecture is proposed to ensure local and supervisory control and management of the interconnected microgrids with best utilization of energy storage systems through braking moments. The proposed solution has been demonstrated using simulation and real data, where t...