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Alex Stojcevski received the bachelor’s degree in electrical engineering, the Masters by Research degree in electrical and electronics engineering, the master’s degree in educational leadership and in project based learning from Aalborg University, Denmark, and the Doctor of Philosophy degree. He is the Dean of the School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, Australia. He is responsible for providing academic leadership in the field of technology and engineering disciplines to all staff and students in the school. In the research and research leadership space, Professor Stojcevski has published more than 350 book chapters, journals, and conference articles, and has attracted over AUD$80M in research and infrastructure projects funding. He has collaborated with key international agencies to make this happen. His research interests are in renewable energy, micro grid design, and energy efficiency.
Electric vehicles’ (EVs) technology is currently emerging as an alternative of traditional Internal Combustion Engine (ICE) vehicles. EVs have been treated as an efficient way for decreasing the production of harmful greenhouse gasses and saving the depleting natural oil reserve. The modern power system tends to be more sustainable with the support of electric vehicles (EVs). However, there have been serious concerns about the network’s safe and reliable operation due to the increasing penetration of EVs into the electric grid. Random or uncoordinated charging activities cause performance degradations and overloading of the network asset. This paper proposes an Optimal Charging Starting Time (OCST)-based coordinated charging algorithm for unplanned EVs’ arrival in a low voltage residential distribution network to minimize the network power losses. A time-of-use (ToU) tariff scheme is used to make the charging course more cost effective. The concept of OCST takes the departure time of EVs into account and schedules the overnight charging event in such a way that minimum network losses are obtained, and EV customers take more advantages of cost-effective tariff zones of ToU scheme. An optimal solution is obtained by employing Binary Evolutionary Programming (BEP). The proposed algorithm is tested on IEEE-31 bus distribution system connected to numerous low voltage residential feeders populated with different EVs’ penetration levels. The results obtained from the coordinated EV charging without OCST are compared with those employing the concept of OCST. The results verify that incorporation of OCST can significantly reduce network power losses, improve system voltage profile and can give more benefits to the EV customers by accommodating them into low-tariff zones.
Muhammad Usman; Wajahat Ullah Khan Tareen; Adil Amin; Haider Ali; Inam Bari; Muhammad Sajid; Mehdi Seyedmahmoudian; Alex Stojcevski; Anzar Mahmood; Saad Mekhilef. A Coordinated Charging Scheduling of Electric Vehicles Considering Optimal Charging Time for Network Power Loss Minimization. Energies 2021, 14, 5336 .
AMA StyleMuhammad Usman, Wajahat Ullah Khan Tareen, Adil Amin, Haider Ali, Inam Bari, Muhammad Sajid, Mehdi Seyedmahmoudian, Alex Stojcevski, Anzar Mahmood, Saad Mekhilef. A Coordinated Charging Scheduling of Electric Vehicles Considering Optimal Charging Time for Network Power Loss Minimization. Energies. 2021; 14 (17):5336.
Chicago/Turabian StyleMuhammad Usman; Wajahat Ullah Khan Tareen; Adil Amin; Haider Ali; Inam Bari; Muhammad Sajid; Mehdi Seyedmahmoudian; Alex Stojcevski; Anzar Mahmood; Saad Mekhilef. 2021. "A Coordinated Charging Scheduling of Electric Vehicles Considering Optimal Charging Time for Network Power Loss Minimization." Energies 14, no. 17: 5336.
Expeditious urbanization and rapid industrialization have significantly influenced the rise of energy demand globally in the past two decades. Solar energy is considered a vital energy source that addresses this demand in a cost-effective and environmentally friendly manner. Improving solar cell efficiency is considered a prerequisite to reinforcing silicon solar cells’ growth in the energy market. In this study, the influence of various parameters like the thickness of the absorber or wafer, doping concentration, bulk resistivity, lifetime, and doping levels of the emitter and back surface field, along with the surface recombination velocity (front and back) on solar cell efficiency was investigated using PC1D simulation software. Inferences from the results indicated that the bulk resistivity of 1
Gokul Sidarth Thirunavukkarasu; Mehdi Seyedmahmoudian; Jaideep Chandran; Alex Stojcevski; Maruthamuthu Subramanian; Raj Marnadu; S. Alfaify; Mohd. Shkir. Optimization of Mono-Crystalline Silicon Solar Cell Devices Using PC1D Simulation. Energies 2021, 14, 4986 .
AMA StyleGokul Sidarth Thirunavukkarasu, Mehdi Seyedmahmoudian, Jaideep Chandran, Alex Stojcevski, Maruthamuthu Subramanian, Raj Marnadu, S. Alfaify, Mohd. Shkir. Optimization of Mono-Crystalline Silicon Solar Cell Devices Using PC1D Simulation. Energies. 2021; 14 (16):4986.
Chicago/Turabian StyleGokul Sidarth Thirunavukkarasu; Mehdi Seyedmahmoudian; Jaideep Chandran; Alex Stojcevski; Maruthamuthu Subramanian; Raj Marnadu; S. Alfaify; Mohd. Shkir. 2021. "Optimization of Mono-Crystalline Silicon Solar Cell Devices Using PC1D Simulation." Energies 14, no. 16: 4986.
The component count for the multilevel inverter has been a research topic for the last few decades. The higher number of power semiconductor devices and sources leads to a higher power loss with the complex control requirement. A new multilevel inverter topology employing the concept of half-Bridge modules is suggested in this paper. It requires a lower number of dc sources and power components. The inverter is controlled using a fundamental frequency switching scheme. With the basic unit being able to produce 13 level voltage waveforms with three dc voltage sources, higher-level inverter configuration has also been discussed in the paper. The performance of the topology is analyzed in the aspects of circuit parameters and found better when compared to similar topologies proposed in recent literature. The comparison provided in the paper set the benchmark of the proposed topology in terms of lower component requirements. The topology is also optimized with two voltage fixing algorithms for maximizing the number of levels for the given number of IGBTs, drivers and dc sources, and the observations are presented. The efficiency analysis gives the peak efficiency as 98.5%. The simulations were carried out using the PLECS software tool and validated using a prototype rated at 500 W. The results with several test conditions have been reported and discussed in the paper.
Muhyaddin Rawa; Prem P; Jagabar Mohamed Ali; Marif Siddique; Saad Mekhilef; Addy Wahyudie; Mehdi Seyedmahmoudian; Alex Stojcevski. A New Multilevel Inverter Topology with Reduced DC Sources. Energies 2021, 14, 4709 .
AMA StyleMuhyaddin Rawa, Prem P, Jagabar Mohamed Ali, Marif Siddique, Saad Mekhilef, Addy Wahyudie, Mehdi Seyedmahmoudian, Alex Stojcevski. A New Multilevel Inverter Topology with Reduced DC Sources. Energies. 2021; 14 (15):4709.
Chicago/Turabian StyleMuhyaddin Rawa; Prem P; Jagabar Mohamed Ali; Marif Siddique; Saad Mekhilef; Addy Wahyudie; Mehdi Seyedmahmoudian; Alex Stojcevski. 2021. "A New Multilevel Inverter Topology with Reduced DC Sources." Energies 14, no. 15: 4709.
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.
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 StyleAqeel 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 StyleAqeel 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.
The combined trends of urban heat island (UHI) intensification and global warming led to an increased tendency towards on the greening of cities as a tool for UHI mitigation. Our study examines the range of research approaches and findings regarding the role of green roofs in mitigating urban heat and enhancing human comfort. This review provides an overview of 89 studies conducted in three main climate types (hot–humid, temperate, and dry), from 2000 till 2020. All of the reviewed studies confirm the cooling effect of green roofs and its contribution to reduced heat island intensity regardless of the background climatic condition. However, dry climate has the highest (3 °C) median cooling effect of green roofs among all the climates investigated. Hot–humid climate presents the lowest cooling potential (median = 1 °C) of green roofs among all the climate types. Moreover, green roofs contribute a median surface temperature reduction of 30 °C in hot–humid cities. This value is relatively low for temperate climates (28 °C). Notably, no study has examined the impact of green roofs on surface temperature reduction in dry climates. This review can benefit urban planners and various stakeholders.
Elmira Jamei; Hing Wah Chau; Mehdi Seyedmahmoudian; Alex Stojcevski. Review on the cooling potential of green roofs in different climates. Science of The Total Environment 2021, 791, 148407 .
AMA StyleElmira Jamei, Hing Wah Chau, Mehdi Seyedmahmoudian, Alex Stojcevski. Review on the cooling potential of green roofs in different climates. Science of The Total Environment. 2021; 791 ():148407.
Chicago/Turabian StyleElmira Jamei; Hing Wah Chau; Mehdi Seyedmahmoudian; Alex Stojcevski. 2021. "Review on the cooling potential of green roofs in different climates." Science of The Total Environment 791, no. : 148407.
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.
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 StyleElmira 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 StyleElmira 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.
Continuous delivery is an industry software development approach that aims to reduce the delivery time of software and increase the quality assurance within a short development cycle. The fast delivery and improved quality require continuous testing of the developed software service. Testing services are complicated and costly and postponed to the end of development due to unavailability of the requisite services. Therefore, an empirical approach that has been utilised to overcome these challenges is to automate software testing by virtualising the requisite services’ behaviour for the system being tested. Service virtualisation involves analysing the behaviour of software services to uncover their external behaviour in order to generate a light-weight executable model of the requisite services. There are different research areas which can be used to create such a virtual model of services from network interactions or service execution logs, including message format extraction, inferring control model, data model and multi-service dependencies. This paper reviews the state-of-the-art of how these areas have been used in automating the service virtualisation to make available the required environment for testing software. This paper provides a review of the relevant research within these four fields by carrying out a structured study on about 80 research works. These studies were then categorised according to their functional context as, extracting the message format, control model, data model and multi-service dependencies that can be employed to automate the service virtualisation activity. Based on our knowledge, this is the first structural review paper in service virtualisation fields.
Zeinab Farahmandpour; Mehdi Seyedmahmoudian; Alex Stojcevski. A Review on the Service Virtualisation and Its Structural Pillars. Applied Sciences 2021, 11, 2381 .
AMA StyleZeinab Farahmandpour, Mehdi Seyedmahmoudian, Alex Stojcevski. A Review on the Service Virtualisation and Its Structural Pillars. Applied Sciences. 2021; 11 (5):2381.
Chicago/Turabian StyleZeinab Farahmandpour; Mehdi Seyedmahmoudian; Alex Stojcevski. 2021. "A Review on the Service Virtualisation and Its Structural Pillars." Applied Sciences 11, no. 5: 2381.
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.
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 StyleLe 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 StyleLe 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.
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.
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 StyleMerve 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 StyleMerve 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.
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.
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 StyleLoau 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 StyleLoau 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.
Software services communicate with different requisite services over the computer network to accomplish their tasks. The requisite services may not be readily available to test a specific service. Thus, service virtualisation has been proposed as an industry solution to ensure availability of the interactive behaviour of the requisite services. However, the existing techniques of virtualisation cannot satisfy the required accuracy or time constraints to keep up with the competitive business world. These constraints sacrifices quality and testing coverage, thereby delaying the delivery of software. We proposed a novel technique to improve the accuracy of the existing service virtualisation solutions without sacrificing time. This method generates the service response and predicts categorical fields in virtualised responses, extending existing research with lower complexity and higher accuracy. The proposed service virtualisation approach uses conditional entropy to identify the fields that can be used to drive the value of each categorical field based on the historical messages. Then, it uses joint probability distribution to find the best values for the categorical fields. The experimental evaluation illustrates that the proposed approach can generate responses with the required fields and accurate values for categorical fields over four data sets with stateful nature.
Zeinab Farahmandpour; Mehdi Seyedmahmoudian; Alex Stojcevski. New Service Virtualisation Approach to Generate the Categorical Fields in the Service Response. Sensors 2020, 20, 6776 .
AMA StyleZeinab Farahmandpour, Mehdi Seyedmahmoudian, Alex Stojcevski. New Service Virtualisation Approach to Generate the Categorical Fields in the Service Response. Sensors. 2020; 20 (23):6776.
Chicago/Turabian StyleZeinab Farahmandpour; Mehdi Seyedmahmoudian; Alex Stojcevski. 2020. "New Service Virtualisation Approach to Generate the Categorical Fields in the Service Response." Sensors 20, no. 23: 6776.
Continuous delivery has gained increased popularity in industry as a development approach to develop, test, and deploy enhancements to software components in short development cycles. In order for continuous delivery to be effectively adopted, the services that a component depends upon must be readily available to software engineers in order to systematically apply quality assurance techniques. However, this may not always be possible as (i) these requisite services may have limited access and (ii) defects that are introduced in a component under development may cause ripple effects in real deployment environments. Service virtualisation (SV) has been introduced as an approach to address these challenges, but existing approaches to SV still fall short of delivering the required accuracy and/or ease-of-use to virtualise services for adoption in continuous delivery. In this work, we propose a novel machine learning based approach to predict numeric fields in virtualised responses, extending existing research that has provided a way to produce values for categorical fields. The SV approach introduced here uses machine learning techniques to derive values of numeric fields that are based on a variable number of pertinent historic messages. Our empirical evaluation demonstrates that the Cognitive SV approach can produce responses with the appropriate fields and accurately predict values of numeric fields across three data sets, some of them based on stateful protocols.
Zeinab Farahmandpour; Mehdi Seyedmahmoudian; Alex Stojcevski; Irene Moser; Jean-Guy Schneider. Cognitive Service Virtualisation: A New Machine Learning-Based Virtualisation to Generate Numeric Values. Sensors 2020, 20, 5664 .
AMA StyleZeinab Farahmandpour, Mehdi Seyedmahmoudian, Alex Stojcevski, Irene Moser, Jean-Guy Schneider. Cognitive Service Virtualisation: A New Machine Learning-Based Virtualisation to Generate Numeric Values. Sensors. 2020; 20 (19):5664.
Chicago/Turabian StyleZeinab Farahmandpour; Mehdi Seyedmahmoudian; Alex Stojcevski; Irene Moser; Jean-Guy Schneider. 2020. "Cognitive Service Virtualisation: A New Machine Learning-Based Virtualisation to Generate Numeric Values." Sensors 20, no. 19: 5664.
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.
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 StyleMehdi 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 StyleMehdi 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.
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.
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 StyleLoau 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 StyleLoau 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.
Urban climate knowledge has been increasingly integrated into urban design and planning practices. Numerical modeling systems, such as climatic and bioclimatic tools, are currently more popular than onsite field measurements. This higher popularity is mainly due to the complicated interactions in 3D urban environments and the spatial distribution of various climatic parameters that cannot be captured thoroughly via on-site measurements alone. Such modeling systems also offer better solutions to overcome the nonlinearity of urban climate in forecasting different "what if scenarios." This paper provides an overview of different types of climatic and bioclimatic modeling systems and presents their main benefits and shortcomings. In the second part of this study, one of the most commonly used tools in urban climate studies, namely, ENVI-met, was selected, and its reliability in different contexts was investigated by reviewing past researches. The applicability of ENVI-met in accurately simulating the influence of future urban growth on one of the fastest growing suburbs in Melbourne, was tested by conducting a sensitivity analysis on inputs and control parameters, backed up with a series of field measurements in selected points. RMSE value was calculated for different runs of the initial ENVI-met model with adjusted control parameters (e.g., factor of short-wave adjustment, initial air temperature, relative humidity, roughness length, wind speed, albedo of walls, and albedo of roofs). The model achieved the optimum performance by altering the short-wave adjustment factor from 0.5 to 1; therefore, ENVI-met was considered a reliable tool for relative comparison of urban dynamics. The findings of this study not only help planners select the most practical modeling systems that address project objectives but also educate them on limitations associated with using ENVI-met.
Elmira Jamei; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. Verification of a bioclimatic modeling system in a growing suburb in Melbourne. Science of The Total Environment 2019, 689, 883 -898.
AMA StyleElmira Jamei, Mehdi Seyedmahmoudian, Ben Horan, Alex Stojcevski. Verification of a bioclimatic modeling system in a growing suburb in Melbourne. Science of The Total Environment. 2019; 689 ():883-898.
Chicago/Turabian StyleElmira Jamei; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. 2019. "Verification of a bioclimatic modeling system in a growing suburb in Melbourne." Science of The Total Environment 689, no. : 883-898.
Multilevel inverters are proficient in achieving a high-quality staircase output voltage waveform with a lower amount of harmonic content. In this paper, a new hybrid multilevel inverter topology based on the T-type and H-bridge module is presented. The proposed topology aims to achieve a higher number of levels utilizing a lower number of switches, direct current (dc) voltage sources, and voltage stresses across different switches. The basic unit of the proposed single T-type and double H-bridge multilevel inverter (STDH-MLI) produces 15 levels at the output using three dc voltage sources. The proposed topology can be extended by connecting a larger number of dc voltage sources in the T-type section. The nearest level control (NLC) switching technique is used to generate gate pulses for switches to achieve a high-quality output voltage waveform. In addition, a simplified way to achieve NLC is also described in the paper. A detailed comparison with other similar topologies is provided to set the benchmark of the proposed topology. Finally, experimental work is carried out to validate the performance of the proposed topology.
Muhyaddin Rawa; Marif Daula Siddique; Saad Mekhilef; Noraisyah Mohamed Shah; Hussain Bassi; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. Design and Implementation of a Hybrid Single T-Type Double H-Bridge Multilevel Inverter (STDH-MLI) Topology. Energies 2019, 12, 1810 .
AMA StyleMuhyaddin Rawa, Marif Daula Siddique, Saad Mekhilef, Noraisyah Mohamed Shah, Hussain Bassi, Mehdi Seyedmahmoudian, Ben Horan, Alex Stojcevski. Design and Implementation of a Hybrid Single T-Type Double H-Bridge Multilevel Inverter (STDH-MLI) Topology. Energies. 2019; 12 (9):1810.
Chicago/Turabian StyleMuhyaddin Rawa; Marif Daula Siddique; Saad Mekhilef; Noraisyah Mohamed Shah; Hussain Bassi; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. 2019. "Design and Implementation of a Hybrid Single T-Type Double H-Bridge Multilevel Inverter (STDH-MLI) Topology." Energies 12, no. 9: 1810.
The authors would like to make the following addition to their paper
Ukashatu Abubakar; Saad Mekhilef; Hazlie Mokhlis; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski; Hussain Bassi; Muhyaddin Jamal Hosin Rawa. Addendum: Abubakar, U.; Mekhilef, S.; Mokhlis, H.; Seyedmahmoudian, M.; Horan, B.; Stojcevski, A.; Bassi, H.; Rawa, M.J.H. Transient Faults in Wind Energy Conversion Systems: Analysis, Modelling Methodologies and Remedies. Energies 2018, 11, 2249. Energies 2019, 12, 286 .
AMA StyleUkashatu Abubakar, Saad Mekhilef, Hazlie Mokhlis, Mehdi Seyedmahmoudian, Ben Horan, Alex Stojcevski, Hussain Bassi, Muhyaddin Jamal Hosin Rawa. Addendum: Abubakar, U.; Mekhilef, S.; Mokhlis, H.; Seyedmahmoudian, M.; Horan, B.; Stojcevski, A.; Bassi, H.; Rawa, M.J.H. Transient Faults in Wind Energy Conversion Systems: Analysis, Modelling Methodologies and Remedies. Energies 2018, 11, 2249. Energies. 2019; 12 (2):286.
Chicago/Turabian StyleUkashatu Abubakar; Saad Mekhilef; Hazlie Mokhlis; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski; Hussain Bassi; Muhyaddin Jamal Hosin Rawa. 2019. "Addendum: Abubakar, U.; Mekhilef, S.; Mokhlis, H.; Seyedmahmoudian, M.; Horan, B.; Stojcevski, A.; Bassi, H.; Rawa, M.J.H. Transient Faults in Wind Energy Conversion Systems: Analysis, Modelling Methodologies and Remedies. Energies 2018, 11, 2249." Energies 12, no. 2: 286.
This paper presents an in-depth review of classical and state-of-the-art models for analysing the transient stability in wind energy conversion systems. Various transient simulation models for a number of wind turbine generator (WTG) configurations are introduced, under different disturbances. The mitigation is achieved, by manipulating the generator speed and power electronics control, whereas the protection is implemented using conventional, intelligent or digital relays for the safety of sensitive components, in case of transient fault occurrence. The various control systems in WECS are basically employed to transform and regulate the varying frequency, owing to the stochastic nature of wind speed, to the standard 50-Hz or 60-Hz frequency for coupling to an existing electrical utility grid. It has been observed that the control and protection schemes in wind energy systems are concurrently applied. Transient faults in WECSs are a dominant power quality problem especially in the doubly-fed induction generator (DFIG), and often classified as overcurrent or overvoltage transients. These transients are measured using the transient stability index and analysed using the EMTDC/PSCAD software. In addition, the inertia of the rotating masses of wind turbine generators is often characterized by a transient torque, which generates oscillations in power systems.
Ukashatu Abubakar; Saad Mekhilef; Hazlie Mokhlis; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski; Hussain Bassi; Muhyaddin Jamal Hosin Rawa. Transient Faults in Wind Energy Conversion Systems: Analysis, Modelling Methodologies and Remedies. Energies 2018, 11, 2249 .
AMA StyleUkashatu Abubakar, Saad Mekhilef, Hazlie Mokhlis, Mehdi Seyedmahmoudian, Ben Horan, Alex Stojcevski, Hussain Bassi, Muhyaddin Jamal Hosin Rawa. Transient Faults in Wind Energy Conversion Systems: Analysis, Modelling Methodologies and Remedies. Energies. 2018; 11 (9):2249.
Chicago/Turabian StyleUkashatu Abubakar; Saad Mekhilef; Hazlie Mokhlis; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski; Hussain Bassi; Muhyaddin Jamal Hosin Rawa. 2018. "Transient Faults in Wind Energy Conversion Systems: Analysis, Modelling Methodologies and Remedies." Energies 11, no. 9: 2249.
The rapidly increasing use of renewable energy resources in power generation systems in recent years has accentuated the need to find an optimum and efficient scheme for forecasting meteorological parameters, such as solar radiation, temperature, wind speed, and sun exposure. Integrating wind power prediction systems into electrical grids has witnessed a powerful economic impact, along with the supply and demand balance of the power generation scheme. Academic interest in formulating accurate forecasting models of the energy yields of solar energy systems has significantly increased around the world. This significant rise has contributed to the increase in the share of solar power, which is evident from the power grids set up in Germany (5 GW) and Bavaria. The Spanish government has also taken initiative measures to develop the use of renewable energy, by providing incentives for the accurate day-ahead forecasting. Forecasting solar power outputs aids the critical components of the energy market, such as the management, scheduling, and decision making related to the distribution of the generated power. In the current study, a mathematical forecasting model, optimized using differential evolution and the particle swarm optimization (DEPSO) technique utilized for the short-term photovoltaic (PV) power output forecasting of the PV system located at Deakin University (Victoria, Australia), is proposed. A hybrid self-energized datalogging system is utilized in this setup to monitor the PV data along with the local environmental parameters used in the proposed forecasting model. A comparison study is carried out evaluating the standard particle swarm optimization (PSO) and differential evolution (DE), with the proposed DEPSO under three different time horizons (1-h, 2-h, and 4-h). Results of the 1-h time horizon shows that the root mean square error (RMSE), mean relative error (MRE), mean absolute error (MAE), mean bias error (MBE), weekly mean error (WME), and variance of the prediction errors (VAR) of the DEPSO based forecasting is 4.4%, 3.1%, 0.03, −1.63, 0.16, and 0.01, respectively. Results demonstrate that the proposed DEPSO approach is more efficient and accurate compared with the PSO and DE.
Mehdi Seyedmahmoudian; Elmira Jamei; Gokul Sidarth Thirunavukkarasu; Tey Kok Soon; Michael Mortimer; Ben Horan; Alex Stojcevski; Saad Mekhilef. Short-Term Forecasting of the Output Power of a Building-Integrated Photovoltaic System Using a Metaheuristic Approach. Energies 2018, 11, 1260 .
AMA StyleMehdi Seyedmahmoudian, Elmira Jamei, Gokul Sidarth Thirunavukkarasu, Tey Kok Soon, Michael Mortimer, Ben Horan, Alex Stojcevski, Saad Mekhilef. Short-Term Forecasting of the Output Power of a Building-Integrated Photovoltaic System Using a Metaheuristic Approach. Energies. 2018; 11 (5):1260.
Chicago/Turabian StyleMehdi Seyedmahmoudian; Elmira Jamei; Gokul Sidarth Thirunavukkarasu; Tey Kok Soon; Michael Mortimer; Ben Horan; Alex Stojcevski; Saad Mekhilef. 2018. "Short-Term Forecasting of the Output Power of a Building-Integrated Photovoltaic System Using a Metaheuristic Approach." Energies 11, no. 5: 1260.
The vibrant, noiseless, and low-maintenance characteristics of photovoltaic (PV) systems make them one of the fast-growing technologies in the modern era. This on-demand source of energy suffers from low-output efficiency compared with other alternatives. Given that PV systems must be installed in outdoor spaces, their efficiency is significantly affected by the inevitable complication called partial shading (PS). Partial shading occurs when different sections of the solar array are subjected to different levels of solar irradiance, which then leads to a multiple-peak function in the output characteristics of the system. Conventional tracking techniques, along with some nascent/novel approaches used for the tracking maximum power point (MPP), are unsatisfactory when subjected to PS, eventually leading to the reduced efficiency of the PV system. This study aims at investigating the use of the bat algorithm (BA), a nature-inspired metaheuristic algorithm for MPP tracking (MPPT) subjected to PS conditions. A brief explanation of the behavior of the PV system under the PS condition and the advantages of using BA for estimating the MPPT of the PV system under PS condition is discussed. The deployment of the BA for the MPPT in PV systems is then explained in detail highlighting the simulation results which verifies whether the proposed method is faster, more efficient, sustainable and more reliable than conventional and other soft computing-based methods. Three testing conditions are considered in the simulation, and the results indicate that the proposed technique has high efficiency and reliability even when subjected to an acute shading condition.
Mehdi Seyedmahmoudian; Tey Kok Soon; Elmira Jamei; Gokul Sidarth Thirunavukkarasu; Ben Horan; Saad Mekhilef; Alex Stojcevski. Maximum Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions Using Bat Algorithm. Sustainability 2018, 10, 1347 .
AMA StyleMehdi Seyedmahmoudian, Tey Kok Soon, Elmira Jamei, Gokul Sidarth Thirunavukkarasu, Ben Horan, Saad Mekhilef, Alex Stojcevski. Maximum Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions Using Bat Algorithm. Sustainability. 2018; 10 (5):1347.
Chicago/Turabian StyleMehdi Seyedmahmoudian; Tey Kok Soon; Elmira Jamei; Gokul Sidarth Thirunavukkarasu; Ben Horan; Saad Mekhilef; Alex Stojcevski. 2018. "Maximum Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions Using Bat Algorithm." Sustainability 10, no. 5: 1347.