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Dr. Ben Horan
School of Engineering, Deakin University, Geelong, Victoria, Australia

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0 Mechatronics
0 Renewable Energy
0 Robotics
0 Virtual Reality
0 Industrial Electronics

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Virtual Reality
Renewable Energy
Robotics
Mechatronics

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Journal article
Published: 29 June 2021 in Sustainability
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In view of the problem of e-commerce scams and the absence of haptic interaction, this research aims to introduce and create a tele-weight device for e-commerce shopping in smart cities. The objective is to use the proposed prototype to provide a brief overview of the possible technological advancements. When the tele-weight device is affixed over the head-mounted display, it allows the user to feel the item’s weight while shopping in the virtual store. Addressing the problem of having no physical interaction between the user (player) and a series game scene in virtual reality (VR) headsets, this research approach focuses on creating a prototype device that has two parts, a sending part and a receiving part. The sending part measures the weight of the object and transmits it over the cellular network to the receiver side. The virtual store user at the receiving side can thus realize the weight of the ordered object. The findings from this work include a visual display of the item’s weight to the virtual store e-commerce user. By introducing sustainability, this haptic technology-assisted technique can help the customer realize the weight of an object and thus have a better immersive experience. In the device, the load cell measures the weight of the object and amplifies it using the HX711 amplifier. However, some delay in the demonstration of the weight was observed during experimentation, and this indirectly altered the performance of the system. One set of the device is sited at the virtual store user premises while the sending end of the device is positioned at the warehouse. The sending end hardware includes an Arduino Uno device, an HX711 amplifier chip to amplify the weight from the load cell, and a cellular module (Sim900A chip-based) to transmit the weight in the form of an encoded message. The receiving end hardware includes a cellular module and an actuator involving a motor gear arrangement to demonstrate the weight of the object. Combining the fields of e-commerce, embedded systems, VR, and haptic sensing, this research can help create a more secure marketplace to attain a higher level of customer satisfaction.

ACS Style

Aqeel Farooq; Mehdi Seyedmahmoudian; Ben Horan; Saad Mekhilef; Alex Stojcevski. Overview and Exploitation of Haptic Tele-Weight Device in Virtual Shopping Stores. Sustainability 2021, 13, 7253 .

AMA Style

Aqeel Farooq, Mehdi Seyedmahmoudian, Ben Horan, Saad Mekhilef, Alex Stojcevski. Overview and Exploitation of Haptic Tele-Weight Device in Virtual Shopping Stores. Sustainability. 2021; 13 (13):7253.

Chicago/Turabian Style

Aqeel Farooq; Mehdi Seyedmahmoudian; Ben Horan; Saad Mekhilef; Alex Stojcevski. 2021. "Overview and Exploitation of Haptic Tele-Weight Device in Virtual Shopping Stores." Sustainability 13, no. 13: 7253.

Review
Published: 20 May 2021 in Sustainability
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Physical activity is connected to public health in many ways, and walking is its most popular form. Modern planning models have been applied to cities to manage rapid urban expansions. However, this practice has led to low level of walkability and strong car-dependency in today’s cities. Hence, this study aims to provide a review of the most promising urban design parameters affecting walkability, using Frank Lawrence’s theory of “Objectively Measured Urban Form” (density, connectivity and accessibility, and mixed-use development) as the basis of discussion. The second part of this paper takes a case study approach, through discussing the main design elements of traditional Iranian cities (mosques, bazaars, residential quarters, and alleyways) and analyses their impacts on promoting walkability. This study concludes that incorporating inherent values of traditional urban design elements will complement modern planning and design practices.

ACS Style

Elmira Jamei; Khatereh Ahmadi; Hing Chau; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. Urban Design and Walkability: Lessons Learnt from Iranian Traditional Cities. Sustainability 2021, 13, 5731 .

AMA Style

Elmira Jamei, Khatereh Ahmadi, Hing Chau, Mehdi Seyedmahmoudian, Ben Horan, Alex Stojcevski. Urban Design and Walkability: Lessons Learnt from Iranian Traditional Cities. Sustainability. 2021; 13 (10):5731.

Chicago/Turabian Style

Elmira Jamei; Khatereh Ahmadi; Hing Chau; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. 2021. "Urban Design and Walkability: Lessons Learnt from Iranian Traditional Cities." Sustainability 13, no. 10: 5731.

Journal article
Published: 03 March 2021 in Applied Sciences
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In this paper, a novel deep neural network-based energy prediction algorithm for accurately forecasting the day-ahead hourly energy consumption profile of a residential building considering occupancy rate is proposed. Accurate estimation of residential load profiles helps energy providers and utility companies develop an optimal generation schedule to address the demand. Initially, a comprehensive multi-criteria analysis of different machine learning approaches used in energy consumption predictions was carried out. Later, a predictive micro-grid model was formulated to synthetically generate the stochastic load profiles considering occupancy rate as the critical input. Finally, the synthetically generated data were used to train the proposed eight-layer deep neural network-based model and evaluated using root mean square error and coefficient of determination as metrics. Observations from the results indicated that the proposed energy prediction algorithm yielded a coefficient of determination of 97.5% and a significantly low root mean square error of 111 Watts, thereby outperforming the other baseline approaches, such as extreme gradient boost, multiple linear regression, and simple/shallow artificial neural network.

ACS Style

Le Truong; Ka Chow; Rungsimun Luevisadpaibul; Gokul Thirunavukkarasu; Mehdi Seyedmahmoudian; Ben Horan; Saad Mekhilef; Alex Stojcevski. Accurate Prediction of Hourly Energy Consumption in a Residential Building Based on the Occupancy Rate Using Machine Learning Approaches. Applied Sciences 2021, 11, 2229 .

AMA Style

Le Truong, Ka Chow, Rungsimun Luevisadpaibul, Gokul Thirunavukkarasu, Mehdi Seyedmahmoudian, Ben Horan, Saad Mekhilef, Alex Stojcevski. Accurate Prediction of Hourly Energy Consumption in a Residential Building Based on the Occupancy Rate Using Machine Learning Approaches. Applied Sciences. 2021; 11 (5):2229.

Chicago/Turabian Style

Le Truong; Ka Chow; Rungsimun Luevisadpaibul; Gokul Thirunavukkarasu; Mehdi Seyedmahmoudian; Ben Horan; Saad Mekhilef; Alex Stojcevski. 2021. "Accurate Prediction of Hourly Energy Consumption in a Residential Building Based on the Occupancy Rate Using Machine Learning Approaches." Applied Sciences 11, no. 5: 2229.

Journal article
Published: 01 February 2021 in Applied Sciences
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Modal analysis provides the dynamic behavior of an object or structure, and is often undertaken using the Finite Element Method (FEM) due to its ability to deal with arbitrary geometries. This article investigates the use of Augmented Reality (AR) to provide the in situ visualization of a modal analysis for an aluminum impeller. Finite Element Analysis (FEA) software packages regularly use heat maps and shape deformation to visualize the outcomes of a given simulation. AR allows the superimposition of digital information on a view of the real-world environment, and provides the opportunity to overlay such simulation results onto real-world objects and environments. The presented modal analysis undertaken herein provides natural frequencies and the corresponding deformation of an aluminum impeller. The results indicate the ability for the design part and finite element analysis results to be viewed on the physical part. A mobile AR-FEA-based system was developed for Modal Analysis result visualization. This study offers designers and engineers a new way to visualize such simulation results.

ACS Style

Merve Yavuz Erkek; Selim Erkek; Elmira Jamei; Mehdi Seyedmahmoudian; Alex Stojcevski; Ben Horan. Augmented Reality Visualization of Modal Analysis Using the Finite Element Method. Applied Sciences 2021, 11, 1310 .

AMA Style

Merve Yavuz Erkek, Selim Erkek, Elmira Jamei, Mehdi Seyedmahmoudian, Alex Stojcevski, Ben Horan. Augmented Reality Visualization of Modal Analysis Using the Finite Element Method. Applied Sciences. 2021; 11 (3):1310.

Chicago/Turabian Style

Merve Yavuz Erkek; Selim Erkek; Elmira Jamei; Mehdi Seyedmahmoudian; Alex Stojcevski; Ben Horan. 2021. "Augmented Reality Visualization of Modal Analysis Using the Finite Element Method." Applied Sciences 11, no. 3: 1310.

Journal article
Published: 26 January 2021 in Sustainability
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Few non-traditional optimization techniques are applied to the dynamic economic dispatch (DED) of large-scale thermal power units (TPUs), e.g., 1000 TPUs, that consider the effects of valve-point loading with ramp-rate limitations. This is a complicated multiple mode problem. In this investigation, a novel optimization technique, namely, a multi-gradient particle swarm optimization (MG-PSO) algorithm with two stages for exploring and exploiting the search space area, is employed as an optimization tool. The M particles (explorers) in the first stage are used to explore new neighborhoods, whereas the M particles (exploiters) in the second stage are used to exploit the best neighborhood. The M particles’ negative gradient variation in both stages causes the equilibrium between the global and local search space capabilities. This algorithm’s authentication is demonstrated on five medium-scale to very large-scale power systems. The MG-PSO algorithm effectively reduces the difficulty of handling the large-scale DED problem, and simulation results confirm this algorithm’s suitability for such a complicated multi-objective problem at varying fitness performance measures and consistency. This algorithm is also applied to estimate the required generation in 24 h to meet load demand changes. This investigation provides useful technical references for economic dispatch operators to update their power system programs in order to achieve economic benefits.

ACS Style

Loau Al-Bahrani; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. Solving the Real Power Limitations in the Dynamic Economic Dispatch of Large-Scale Thermal Power Units under the Effects of Valve-Point Loading and Ramp-Rate Limitations. Sustainability 2021, 13, 1274 .

AMA Style

Loau Al-Bahrani, Mehdi Seyedmahmoudian, Ben Horan, Alex Stojcevski. Solving the Real Power Limitations in the Dynamic Economic Dispatch of Large-Scale Thermal Power Units under the Effects of Valve-Point Loading and Ramp-Rate Limitations. Sustainability. 2021; 13 (3):1274.

Chicago/Turabian Style

Loau Al-Bahrani; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. 2021. "Solving the Real Power Limitations in the Dynamic Economic Dispatch of Large-Scale Thermal Power Units under the Effects of Valve-Point Loading and Ramp-Rate Limitations." Sustainability 13, no. 3: 1274.

Journal article
Published: 19 January 2021 in IEEE Access
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In Baghdad City’s distribution power grid, a massive number of 630 kV distribution transformers (DTs) are used in residential neighborhoods. Each DT is joined to nine low-voltage 0.415 kV distribution feeders. Each feeder has a designated size of $1\times240$ mm 2 and is joined to a specified number of residential dwellings $(N=30)$ fixed in the initial design stage. The size and number of low-voltage 0.415 kV distribution feeders are set with no change. In this investigation, we use a new approach for modeling electricity demand in residential neighborhoods in Baghdad City and overcome this constraint by finding the optimum number of residential dwellings joined to the same low-voltage 0.415 kV distribution feeder. Two sets of the experimental equations are created to compute the number of residential dwellings that are required to be joined to the low-voltage 0.415 kV distribution feeder. The multi-gradient particle swarm optimization algorithm is used as an optimization tool to handle these experimental equations. Results show that each low-voltage 0.415 kV distribution feeder can be loaded with 50 dwellings instead of 30 due to the diversity among residential dwellings. Several facts about the load profile characteristics of residential dwellings in Iraq are established. This study’s outcomes provide useful technical references for Iraq electrical design engineers to update the connection grids of low-voltage 0.415 kV distribution feeders in Baghdad City to achieve economic benefits.

ACS Style

Loau Al-Bahrani; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. A Novel Approach for Residential Neighborhoods’ Electricity Demand in Iraq Distribution Power Grids. IEEE Access 2021, 9, 16508 -16521.

AMA Style

Loau Al-Bahrani, Mehdi Seyedmahmoudian, Ben Horan, Alex Stojcevski. A Novel Approach for Residential Neighborhoods’ Electricity Demand in Iraq Distribution Power Grids. IEEE Access. 2021; 9 ():16508-16521.

Chicago/Turabian Style

Loau Al-Bahrani; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. 2021. "A Novel Approach for Residential Neighborhoods’ Electricity Demand in Iraq Distribution Power Grids." IEEE Access 9, no. : 16508-16521.

Review
Published: 04 December 2020 in Sustainability
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This study summarizes a critical review on EVs’ optimal charging and scheduling under dynamic pricing schemes. A detailed comparison of these schemes, namely, Real Time Pricing (RTP), Time of Use (ToU), Critical Peak Pricing (CPP), and Peak Time Rebates (PTR), is presented. Globally, the intention is to reduce the carbon emissions (CO2) has motivated the extensive practice of Electric Vehicles (EVs). The uncoordinated charging and uncontrolled integration however of EVs to the distribution network deteriorates the system performance in terms of power quality issues. Therefore, the EVs’ charging activity can be coordinated by dynamic electricity pricing, which can influence the charging activities of the EVs customers by offering flexible pricing at different demands. Recently, with developments in technology and control schemes, the RTP scheme offers more promise compared to the other types of tariff because of the greater flexibility for EVs’ customers to adjust their demands. It however involves higher degree of billing instability, which may influence the customer’s confidence. In addition, the RTP scheme needs a robust intelligent automation system to improve the customer’s feedback to time varying prices. In addition, the review covers the main optimization methods employed in a dynamic pricing environment to achieve objectives such as power loss and electricity cost minimization, peak load reduction, voltage regulation, distribution infrastructure overloading minimization, etc.

ACS Style

Adil Amin; Wajahat Tareen; Muhammad Usman; Haider Ali; Inam Bari; Ben Horan; Saad Mekhilef; Muhammad Asif; Saeed Ahmed; Anzar Mahmood. A Review of Optimal Charging Strategy for Electric Vehicles under Dynamic Pricing Schemes in the Distribution Charging Network. Sustainability 2020, 12, 10160 .

AMA Style

Adil Amin, Wajahat Tareen, Muhammad Usman, Haider Ali, Inam Bari, Ben Horan, Saad Mekhilef, Muhammad Asif, Saeed Ahmed, Anzar Mahmood. A Review of Optimal Charging Strategy for Electric Vehicles under Dynamic Pricing Schemes in the Distribution Charging Network. Sustainability. 2020; 12 (23):10160.

Chicago/Turabian Style

Adil Amin; Wajahat Tareen; Muhammad Usman; Haider Ali; Inam Bari; Ben Horan; Saad Mekhilef; Muhammad Asif; Saeed Ahmed; Anzar Mahmood. 2020. "A Review of Optimal Charging Strategy for Electric Vehicles under Dynamic Pricing Schemes in the Distribution Charging Network." Sustainability 12, no. 23: 10160.

Journal article
Published: 05 November 2020 in Sustainability
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The uncoordinated integration of electric vehicles (EVs) severely deteriorates the operational performance of a distribution network. To optimize distribution network performance in an EV charging environment, this paper presents a two-stage optimization approach, which integrates coordinated EV charging with network reconfiguration. A formulation to minimize system power loss is presented, and an optimal solution is obtained using a binary particle swarm optimization algorithm. The proposed approach is tested on a modified IEEE 33-bus medium-voltage node test system, coupled with a low voltage distribution network. Results of the coordinated and uncoordinated EV charging are compared with those of the developed integrated approach, and the operational performance of the system is studied. The results show that the integration of network reconfiguration with coordinated EV charging significantly decreases network power losses and fairly improves voltage profile. Thus, the proposed strategy can lead to improved operational performance of the system while dealing with the growing penetration of EVs in the network.

ACS Style

Adil Amin; Wajahat Tareen; Muhammad Usman; Kamran Memon; Ben Horan; Anzar Mahmood; Saad Mekhilef. An Integrated Approach to Optimal Charging Scheduling of Electric Vehicles Integrated with Improved Medium-Voltage Network Reconfiguration for Power Loss Minimization. Sustainability 2020, 12, 9211 .

AMA Style

Adil Amin, Wajahat Tareen, Muhammad Usman, Kamran Memon, Ben Horan, Anzar Mahmood, Saad Mekhilef. An Integrated Approach to Optimal Charging Scheduling of Electric Vehicles Integrated with Improved Medium-Voltage Network Reconfiguration for Power Loss Minimization. Sustainability. 2020; 12 (21):9211.

Chicago/Turabian Style

Adil Amin; Wajahat Tareen; Muhammad Usman; Kamran Memon; Ben Horan; Anzar Mahmood; Saad Mekhilef. 2020. "An Integrated Approach to Optimal Charging Scheduling of Electric Vehicles Integrated with Improved Medium-Voltage Network Reconfiguration for Power Loss Minimization." Sustainability 12, no. 21: 9211.

Conference paper
Published: 11 September 2020 in 2012 ASEE Annual Conference & Exposition Proceedings
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Undergraduate Electronics Students Use of Home Experiment Kits for Distance Education Laboratory practicals form an essential component in any electronics or electrical-engineering course.Many students choose to study engineering by means of distance education. Providing such studentswith effective and manageable practical experience has always been a significant challenge for thoseinvolved in providing distance education. Several approaches have been presented and trialled,including mandatory weekend attendance at on-campus practical sessions, computer simulation ofpractical electrical and electronic circuits, operating specific electronic experiments by remote controlover the Internet, and the use of electronic kits supplied to the students.Deakin University has employed an experimental electronics kit for teaching laboratory skills todistance students over the past several years. The early kit contained a breadboard and sufficientelectronics components to perform a series of digital exercises such as logic gates, Boolean algebra,basic flip flops; and some limited analog exercises such as transistor biasing and DC op-ampoperation. The chief limitation of the early kit was the inability to use it for performing ACexperiments without an additional AC signal generator and an oscilloscope. Later work saw thedevelopment and introduction of a battery-powered signal generator, and a PC-oscilloscope interfaceand software. We now supply distance students with the original components pack, and an additional“HELP” kit which contains the signal generator, PC-oscilloscope, a basic multimeter, logic probe,software and documentation. The combined kits allow distance students to perform basic DC and ACelectronics experiments at home in both freshman and sophomore electronics courses.Our more recent development is teaching practical electronics from a small robot platform. Thisplatform is designed to enhance the student experience and interest in electronics and mechatronics,while still covering the basic skills necessary for the engineer-in-training. Distance students receivethe robot kit, the components pack, and the HELP kit to allow them to complete a fuller suite ofpractical exercises in electronics in their first two years of study. In this paper, we present thesedevelopments in our practical electronics program and also make comparisons between on-campusand off-campus use of the kits.

ACS Style

John Matthew Long; Ben Horan; Robynne Hall. Undergraduate Electronics Students' Use of Home Experiment Kits for Distance Education. 2012 ASEE Annual Conference & Exposition Proceedings 2020, 25.1386.1 -25.1386.13.

AMA Style

John Matthew Long, Ben Horan, Robynne Hall. Undergraduate Electronics Students' Use of Home Experiment Kits for Distance Education. 2012 ASEE Annual Conference & Exposition Proceedings. 2020; ():25.1386.1-25.1386.13.

Chicago/Turabian Style

John Matthew Long; Ben Horan; Robynne Hall. 2020. "Undergraduate Electronics Students' Use of Home Experiment Kits for Distance Education." 2012 ASEE Annual Conference & Exposition Proceedings , no. : 25.1386.1-25.1386.13.

Journal article
Published: 18 August 2020 in Sustainability
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The solar photo-voltaic systems control architecture has a substantial influence over the cost, efficiency, and accuracy of maximum power point tracking under partial shading conditions. In this paper, a novel distributed architecture of a building integrated photo-voltaic system equipped with a single maximum power point tracking controller is presented in order to address the drawbacks associated with respect to cost, complexity and efficiency of the existing photo-voltaic system architectures. In addition, a radial movement optimization based maximum power point tracking control algorithm is designed, developed, and validated using the proposed system architecture under five different partial shading conditions. The inferences obtained from the validation results of the proposed distributed system architecture indicated that cost was reduced by 75% when compared to the commonly used decentralised systems. The proposed distributed building integrated photo-voltaic system architecture is also more efficient, robust, reliable, and accurate.

ACS Style

Mehdi Seyedmahmoudian; Gokul Thirunavukkarasu; Elmira Jamei; Tey Soon; Ben Horan; Saad Mekhilef; Alex Stojcevski. A Sustainable Distributed Building Integrated Photo-Voltaic System Architecture with a Single Radial Movement Optimization Based MPPT Controller. Sustainability 2020, 12, 6687 .

AMA Style

Mehdi Seyedmahmoudian, Gokul Thirunavukkarasu, Elmira Jamei, Tey Soon, Ben Horan, Saad Mekhilef, Alex Stojcevski. A Sustainable Distributed Building Integrated Photo-Voltaic System Architecture with a Single Radial Movement Optimization Based MPPT Controller. Sustainability. 2020; 12 (16):6687.

Chicago/Turabian Style

Mehdi Seyedmahmoudian; Gokul Thirunavukkarasu; Elmira Jamei; Tey Soon; Ben Horan; Saad Mekhilef; Alex Stojcevski. 2020. "A Sustainable Distributed Building Integrated Photo-Voltaic System Architecture with a Single Radial Movement Optimization Based MPPT Controller." Sustainability 12, no. 16: 6687.

Journal article
Published: 01 March 2020 in Energy
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ACS Style

Loau Tawfak Al-Bahrani; Ben Horan; Mehdi Seyedmahmoudian; Alex Stojcevski. Dynamic economic emission dispatch with load dema nd management for the load demand of electric vehicles during crest shaving and valley filling in smart cities environment. Energy 2020, 195, 1 .

AMA Style

Loau Tawfak Al-Bahrani, Ben Horan, Mehdi Seyedmahmoudian, Alex Stojcevski. Dynamic economic emission dispatch with load dema nd management for the load demand of electric vehicles during crest shaving and valley filling in smart cities environment. Energy. 2020; 195 ():1.

Chicago/Turabian Style

Loau Tawfak Al-Bahrani; Ben Horan; Mehdi Seyedmahmoudian; Alex Stojcevski. 2020. "Dynamic economic emission dispatch with load dema nd management for the load demand of electric vehicles during crest shaving and valley filling in smart cities environment." Energy 195, no. : 1.

Journal article
Published: 31 January 2020 in IEEE Access
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Modular multilevel converters (MMCs) are considered very promising converters due to their modularity structure and high reliability from fault-tolerant. A fault within a submodule (SM) is one of the main issues in half-bridge MMCs with substantial switching devices. In this paper, an adaptive carrier based phase disposition pulse width modulation (PDPWM) technique for MMCs, which uses only one carrier having flexibility with fault-tolerant capability, is presented. The energy-based control is also used in this study to regulate the balancing of SMs during and after a fault. In order to investigate the performance of the proposed method, a laboratory single-phase MMC prototype has been built by using four SMs to generate nine-level. The single-phase MMC prototype is tested by assuming one of the SMs in the failure condition. The result revealed that the proposed method had been successfully applied to the MMC prototype to control the upper and lower arm during the failure. In addition, the reference command will correct the fault according to the adaptive carrier and the computational burden is lesser since it only uses one single carrier.

ACS Style

Tuanku Badzlin Hashfi; Saad Mekhilef; Marizan Mubin; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. Adaptive Carrier-Based PDPWM Control for Modular Multilevel Converter With Fault-Tolerant Capability. IEEE Access 2020, 8, 26739 -26748.

AMA Style

Tuanku Badzlin Hashfi, Saad Mekhilef, Marizan Mubin, Mehdi Seyedmahmoudian, Ben Horan, Alex Stojcevski. Adaptive Carrier-Based PDPWM Control for Modular Multilevel Converter With Fault-Tolerant Capability. IEEE Access. 2020; 8 (99):26739-26748.

Chicago/Turabian Style

Tuanku Badzlin Hashfi; Saad Mekhilef; Marizan Mubin; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. 2020. "Adaptive Carrier-Based PDPWM Control for Modular Multilevel Converter With Fault-Tolerant Capability." IEEE Access 8, no. 99: 26739-26748.

Journal article
Published: 01 January 2020 in IEEE Access
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ACS Style

Irfan Hussain Panhwar; Kafeel Ahmed; Mehdi Seyedmahmoudian; Alex Stojcevski; Ben Horan; Saad Mekhilef; Asim Aslam; Maryam Asghar. Mitigating Power Fluctuations for Energy Storage in Wind Energy Conversion System Using Supercapacitors. IEEE Access 2020, 8, 189747 -189760.

AMA Style

Irfan Hussain Panhwar, Kafeel Ahmed, Mehdi Seyedmahmoudian, Alex Stojcevski, Ben Horan, Saad Mekhilef, Asim Aslam, Maryam Asghar. Mitigating Power Fluctuations for Energy Storage in Wind Energy Conversion System Using Supercapacitors. IEEE Access. 2020; 8 ():189747-189760.

Chicago/Turabian Style

Irfan Hussain Panhwar; Kafeel Ahmed; Mehdi Seyedmahmoudian; Alex Stojcevski; Ben Horan; Saad Mekhilef; Asim Aslam; Maryam Asghar. 2020. "Mitigating Power Fluctuations for Energy Storage in Wind Energy Conversion System Using Supercapacitors." IEEE Access 8, no. : 189747-189760.

Review
Published: 27 December 2019 in Sustainability
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Pakistan is a developing country that is experiencing a shortage of electricity generation due to its rapidly growing demand. The existing and upcoming energy requirements for power generation and future transportation can be met by efficient utilisation of homegrown biomass resources. Determining the present energy mix resources in various sectors of the country is important. This article analyses the biomass resources and their potential and bioenergy utilisation in Pakistan. An overview of the global renewable energy scenario is presented. This article accentuates the importance and challenges of new technologies and estimates the current and future share of power generation from renewable sources, focusing on the technical potential of biomass energy, which is obtained from agricultural residues, animal manure and municipal solid wastes in Pakistan. This paper highlights the developing technologies that are primarily used to convert biomass waste into energy and presents a critical consideration on future directions in drafting the bioenergy framework policy in Pakistan. For effective implementation of biomass-based renewable energy production in the country, this paper presents an extensive literature review on current and future perspectives and suggestions on future directions and policies to overcome the deficit in electricity supply and environmental concerns. Furthermore, this paper discusses the utilisation of biomass resources in the rapidly growing transportation sector and presents a solution for upcoming mass transit projects in two major cities in Pakistan. The conclusion is that biomass energy is the most sustainable, eco-friendly and efficient renewable energy and is an emerging renewable energy resource that can meet the growing energy demand in Pakistan.

ACS Style

Wajahat Ullah Khan Tareen; Muhammad Tariq Dilbar; Muhammad Farhan; Muhammad Ali Nawaz; Ali Waqar Durrani; Kamran Ali Memon; Saad Mekhilef; Mehdi Seyedmahmoudian; Ben Horan; Muhammad Amir. Present Status and Potential of Biomass Energy in Pakistan Based on Existing and Future Renewable Resources. Sustainability 2019, 12, 249 .

AMA Style

Wajahat Ullah Khan Tareen, Muhammad Tariq Dilbar, Muhammad Farhan, Muhammad Ali Nawaz, Ali Waqar Durrani, Kamran Ali Memon, Saad Mekhilef, Mehdi Seyedmahmoudian, Ben Horan, Muhammad Amir. Present Status and Potential of Biomass Energy in Pakistan Based on Existing and Future Renewable Resources. Sustainability. 2019; 12 (1):249.

Chicago/Turabian Style

Wajahat Ullah Khan Tareen; Muhammad Tariq Dilbar; Muhammad Farhan; Muhammad Ali Nawaz; Ali Waqar Durrani; Kamran Ali Memon; Saad Mekhilef; Mehdi Seyedmahmoudian; Ben Horan; Muhammad Amir. 2019. "Present Status and Potential of Biomass Energy in Pakistan Based on Existing and Future Renewable Resources." Sustainability 12, no. 1: 249.

Journal article
Published: 09 December 2019 in Energy and Buildings
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The present study focuses on distribution transformer load behavior and characteristics of residential consumers in Baghdad City. Real-data obtained from outputs of electrical load recording equipment and consumer billing data are used. The sample includes three categories of residential consumers from six different areas geographically distributed throughout the city (total of 3000 consumers). A novel algorithm called orthogonal particle swarm optimization is applied to construct a new approach to electricity demand modeling for the city. Then, the quantitative relationship between energy consumption, peak kW demand during peak demand periods (July and August), and annual energy consumption are evaluated. A quantitative relationship between the coincidence factor and N number of consumers is determined. Results of this study have been successfully applied in determining the distribution transformer burden, which can assist design engineers in calculating and setting the number of consumers connected to the distribution transformer. Such outcomes provide useful references for planning, designing, and load demand forecasting for power distribution systems in the future.

ACS Style

Loau Tawfak Al-Bahrani; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. Distribution transformer load behavior, burden, and characteristics of residential consumers: A case study of Baghdad City. Energy and Buildings 2019, 210, 109693 .

AMA Style

Loau Tawfak Al-Bahrani, Mehdi Seyedmahmoudian, Ben Horan, Alex Stojcevski. Distribution transformer load behavior, burden, and characteristics of residential consumers: A case study of Baghdad City. Energy and Buildings. 2019; 210 ():109693.

Chicago/Turabian Style

Loau Tawfak Al-Bahrani; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. 2019. "Distribution transformer load behavior, burden, and characteristics of residential consumers: A case study of Baghdad City." Energy and Buildings 210, no. : 109693.

Article
Published: 26 November 2019 in Journal of Thermal Analysis and Calorimetry
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The use of solar energy in the present era is necessary and important as well. Solar chimney technology for power generation is one of the solar energy harvesting techniques where the direct and dispersed solar radiations are absorbed in the solar chimney power plant. The effectiveness of solar chimneys has been proven for power generation, and it is a promising approach to future energy generation plans. This article provides a comprehensive scenario of the research and development of solar energy technology as well as the history of solar chimneys in the last few decades. It describes the state of empirical and theoretical studies and the physical processes for this commonly used technology. Finally, this paper presents some avenues to cover the practical required approaches for solar chimney power generation plant. In this study, the numerical investigation is also considered to study the stack configuration effect on the performance of a solar chimney power plant. Numerical simulation of the proposed configuration shows that the speculated geometry can reduce the throttling effect of the deflected plume.

ACS Style

Mazdak Arzpeyma; Saad Mekhilef; Kazi Md. Salim Newaz; Ben Horan; Mohammadmehdi Seyedmahmoudian; Naveed Akram; Alex Stojcevski. Solar chimney power plant and its correlation with ambient wind effect. Journal of Thermal Analysis and Calorimetry 2019, 141, 649 -668.

AMA Style

Mazdak Arzpeyma, Saad Mekhilef, Kazi Md. Salim Newaz, Ben Horan, Mohammadmehdi Seyedmahmoudian, Naveed Akram, Alex Stojcevski. Solar chimney power plant and its correlation with ambient wind effect. Journal of Thermal Analysis and Calorimetry. 2019; 141 (2):649-668.

Chicago/Turabian Style

Mazdak Arzpeyma; Saad Mekhilef; Kazi Md. Salim Newaz; Ben Horan; Mohammadmehdi Seyedmahmoudian; Naveed Akram; Alex Stojcevski. 2019. "Solar chimney power plant and its correlation with ambient wind effect." Journal of Thermal Analysis and Calorimetry 141, no. 2: 649-668.

Articles
Published: 20 October 2019 in Interactive Learning Environments
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Augmented reality (AR) has tremendous potential as a teaching and learning tool in engineering education to enhance students’ learning experience; it influences the students’ spatial ability for real-time visualization. Furthermore, this helps to attain better concept comprehension pertaining to improved understanding of the topics. The present study provides evidence by developing an AR learning environment (ARLE) suitable for complicated theoretical topics of electronics engineering, which otherwise cannot be demonstrated using practical experiments. The idea of using different design variants; such as mobile and table-top for adaptive AR is also implemented. For this, 60 undergraduate students of electronics and electrical engineering were introduced to the ARLE system, in two different case studies. The first case validates the efficacy of using AR for learning the concept of stability in linear control systems through a questionnaire based survey where students reported the ARLE as an effective learning system for theoretical topics. Second case study provides comparative analysis for usability of two design variants of the ARLE in terms of manipulability and comprehensibility. Finally, the design implications for developed ARLE are discussed, which may be helpful for other researchers in creating learning environments for different courses of engineering education.

ACS Style

Deepti Prit Kaur; Archana Mantri; Ben Horan. Design implications for adaptive augmented reality based interactive learning environment for improved concept comprehension in engineering paradigms. Interactive Learning Environments 2019, 1 -19.

AMA Style

Deepti Prit Kaur, Archana Mantri, Ben Horan. Design implications for adaptive augmented reality based interactive learning environment for improved concept comprehension in engineering paradigms. Interactive Learning Environments. 2019; ():1-19.

Chicago/Turabian Style

Deepti Prit Kaur; Archana Mantri; Ben Horan. 2019. "Design implications for adaptive augmented reality based interactive learning environment for improved concept comprehension in engineering paradigms." Interactive Learning Environments , no. : 1-19.

Review article
Published: 06 September 2019 in Renewable and Sustainable Energy Reviews
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Hybrid renewable energy systems (RESs) are being widely utilized as an alternate source of energy for mitigating the rapidly increasing energy demand. Explicit representation of the results obtained from the impact analysis made on a newly proposed or an existing hybrid RES is complex, and it requires powerful visualization tools. Over the years, various visualization techniques were developed towards addressing this problem. Therefore, the use of visualization techniques are continuously growing and have been the focus of many researchers across the world. This review article presents a comprehensive analysis of the advancements in the use of different immersive visualization (IV) tools in state-of-the-art RES development. A total of 41 software packages and a collection of recently published research articles in the field of RES development incorporated with advanced IV tools was identified and critically reviewed based on its use-case, accessibility, complexity, robustness, immersivity, and adaptability. Finally, a list of fit-for-purpose software packages that could be used at different stages of the RES development is recommended. A summary of the current advancements in the use of the IV tools in RES development is presented to highlight the broader potential of multidisciplinary applications of the advanced IV tools in RES development.

ACS Style

Mohd Daniel Azraff Bin Rozmi; Gokul Sidarth Thirunavukkarasu; Elmira Jamei; Mohammadmehdi Seyedmahmoudian; Saad Mekhilef; Alex Stojcevski; Ben Horan. Role of immersive visualization tools in renewable energy system development. Renewable and Sustainable Energy Reviews 2019, 115, 109363 .

AMA Style

Mohd Daniel Azraff Bin Rozmi, Gokul Sidarth Thirunavukkarasu, Elmira Jamei, Mohammadmehdi Seyedmahmoudian, Saad Mekhilef, Alex Stojcevski, Ben Horan. Role of immersive visualization tools in renewable energy system development. Renewable and Sustainable Energy Reviews. 2019; 115 ():109363.

Chicago/Turabian Style

Mohd Daniel Azraff Bin Rozmi; Gokul Sidarth Thirunavukkarasu; Elmira Jamei; Mohammadmehdi Seyedmahmoudian; Saad Mekhilef; Alex Stojcevski; Ben Horan. 2019. "Role of immersive visualization tools in renewable energy system development." Renewable and Sustainable Energy Reviews 115, no. : 109363.

Journal article
Published: 01 September 2019 in Renewable Energy
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William VanDeventer; Elmira Jamei; Gokul Sidarth Thirunavukkarasu; Mehdi Seyedmahmoudian; Tey Kok Soon; Ben Horan; Saad Mekhilef; Alex Stojcevski. Short-term PV power forecasting using hybrid GASVM technique. Renewable Energy 2019, 140, 367 -379.

AMA Style

William VanDeventer, Elmira Jamei, Gokul Sidarth Thirunavukkarasu, Mehdi Seyedmahmoudian, Tey Kok Soon, Ben Horan, Saad Mekhilef, Alex Stojcevski. Short-term PV power forecasting using hybrid GASVM technique. Renewable Energy. 2019; 140 ():367-379.

Chicago/Turabian Style

William VanDeventer; Elmira Jamei; Gokul Sidarth Thirunavukkarasu; Mehdi Seyedmahmoudian; Tey Kok Soon; Ben Horan; Saad Mekhilef; Alex Stojcevski. 2019. "Short-term PV power forecasting using hybrid GASVM technique." Renewable Energy 140, no. : 367-379.

Journal article
Published: 06 July 2019 in Energies
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This article presents an effective structural design arrangement for light trapping in the front surface of a thin film silicon solar cell (TFSC). Front surface light trapping rate is significantly enhanced here by incorporating the Aluminium (Al) nanoparticle arrays into silicon nitride anti-reflection layer. The light trapping capability of these arrays is extensively analyzed via Finite Difference Time Domain (FDTD) method considering the wavelength ranging from 400 to 1100 nm. The outcome indicates that the structural parameters associated with the aluminium nanoparticle arrays like particle radii and separations between adjacent particles, play vital roles in designing the solar cell to achieve better light trapping efficiency. A detailed comparative analysis has justified the effectiveness of this approach while contrasting the results found with commonly used silver nanoparticle arrays at the front surface of the cell. Because of the surface plasmon excitation, lower light reflectance, and significant near field enhancement, aluminium nanoparticle arrays offer broadband light absorption by the cell.

ACS Style

Rokeya Jahan Mukti; Rabiul Hossain; Ariful Islam; Saad Mekhilef; Ben Horan. Increased Absorption with Al Nanoparticle at Front Surface of Thin Film Silicon Solar Cell. Energies 2019, 12, 2602 .

AMA Style

Rokeya Jahan Mukti, Rabiul Hossain, Ariful Islam, Saad Mekhilef, Ben Horan. Increased Absorption with Al Nanoparticle at Front Surface of Thin Film Silicon Solar Cell. Energies. 2019; 12 (13):2602.

Chicago/Turabian Style

Rokeya Jahan Mukti; Rabiul Hossain; Ariful Islam; Saad Mekhilef; Ben Horan. 2019. "Increased Absorption with Al Nanoparticle at Front Surface of Thin Film Silicon Solar Cell." Energies 12, no. 13: 2602.