Johor Bahru, Malaysia

University of Technology Malaysia

www.utm.my
Johor Bahru, Malaysia

Universiti Teknologi Malaysia is the oldest public engineering and technological university in Malaysia. The university specializes in technical studies, with separate faculties for the engineering divisions such as Civil, Mechanical, Electrical, Chemical and Biomedical engineering. It also has faculties for Education, Pure science, Management, and Human Resources Development. It is the country's major source of graduate engineers and similar professionals.With over 20,000 students on campus, more than 25% of them are postgraduates. Since the 1990s, the number of foreign students, particularly from neighbouring Asian countries, the Middle East, and Africa, has been increasing, especially in postgraduate programs. UTM graduates have gone on to many academic and professional institutions across the world.Universiti Teknologi Malaysia is located in Kuala Lumpur, the capital city of Malaysia, and Johor Bahru, the southern city in Iskandar Malaysia, in the south of Peninsular Malaysia. Wikipedia.

SEARCH TERMS
SEARCH FILTERS
Time filter
Source Type

Mohammed Y.S.,University of Technology Malaysia | Mustafa M.W.,University of Technology Malaysia | Bashir N.,University of Technology Malaysia
Renewable and Sustainable Energy Reviews | Year: 2014

Rising concerns about global energy security and climate change due to emissions of noxious gases resulting from the combustion of fossil fuels have strongly renewed interest in renewable energy development. These concerns have also coordinated a reaction towards the global focus on a clean development mechanism, which is a basic strategy endorsed in the framework of the Kyoto Protocol. The use of biomass for the sustainable distributed generation of power offers immense hope to rural dwellers, who have limited access to electricity from centralized grid systems. Like other renewable sources of energy, biomass distributed-generation systems will play a critical role in the future of electrical power demand outlooks and energy generation planning. This article presents the wide-ranging potential of bioenergy resources in Nigeria for bioelectric power generation. It explicates the poor energy situation of the country and highlights different categories of biomass that can be exploited to tackle the energy deficiency in many rural communities. The study concludes with a discussion on the significance of distributed-generation electricity using bioenergy resources for rural energy supply, including brief discussions on the technologies for bioelectric power utilization. © 2014 Elsevier Ltd.

Document Keywords (matching the query): distributed generation, bio energy, renewable energy development, energy generations, distributed power generation, bioenergy, rural energy supplies, renewable energy resources, bioelectric power generations, energy policy.


Ho W.S.,University of Technology Malaysia | Hashim H.,University of Technology Malaysia | Lim J.S.,University of Technology Malaysia | Klemes J.J.,University of Pannonia
Clean Technologies and Environmental Policy | Year: 2013

Renewable distributed energy generation (DEG) system plays an important role in future power developments and is one of the options to reduce energy consumption. It is envisaged that energy efficiency of DEG systems can be improved via load shifting (LS). This study proposed a heuristic-based numerical approach to perform LS analysis on renewable stand-alone DEG systems. The technique is an extension from a method known as the Electric System Cascade Analysis (ESCA). The new technique, which focuses on efficient electricity utilisation is able to determine the optimal: (i) load profiles, (ii) capacity of power generator, (iii) capacity and power of energy storage (ES) and (iv) charging/discharging schedule of ES. The stage-wise technique allows user to compare and determine the optimal design in a flexible way while having a better understanding of the selection of options. The application of ESCA-LS on a case study revealed that after incorporation of direct LS (load manipulation) in addition to LS by ES (supply manipulation), the power generators and ES capacity can be further reduced. While reduction of 3.1 % for solar-PV installation area and 3.9 % for biomass power generator is recorded, ES power-related capacity and energy-related capacity managed a higher reduction of up to 19.0 and 13.2 % for the main case study © 2013 Springer-Verlag Berlin Heidelberg.

Document Keywords (matching the query): solar energy, reduce energy consumption, distributed energy generation deg, distributed energies, renewable energy re, energy efficiency, distributed energy systems, energy storage, energy utilization, renewable energies, energy storage es.


Tolabi H.B.,Islamic Azad University | Ali M.H.,University of Memphis | Shahrin Bin Md Ayob,University of Technology Malaysia | Rizwan M.,Delhi Technological University
Energy | Year: 2014

This paper presents a hybrid optimal multi-objective reconfiguration method to determine an optimal size and location of multiple-distributed generation (DG) in a distribution feeder. The purposes of this research are to mitigate losses, improve voltage profile and equalize the feeder load balancing in power distribution systems. To reduce the search space, the Improved Analytical (IA) method is employed to select the optimum candidate locations for multiple-DG, while the Bees algorithm (BA) approach as a population based algorithm is used to simultaneously reconfigure and identify the optimal capacity for installation of DG units in the distribution network. In order for the algorithm to facilitate ability for multi-objective search the optimization problem is formulated to minimize fuzzy performance indices. The proposed method is validated using the IEEE 33 bus test system at nominal load. The obtained results revealed that this proposed hybrid method has superior accuracy and efficient convergence property over the other intelligent search algorithms. It is also can be concluded that the multi-objective simultaneous placement of DGs along with multi-objective reconfiguration can be more beneficial than separate single-objective optimization. © 2014 Elsevier Ltd.

Document Keywords (matching the query): power generation, distributed power generation, energy efficiency.


Shamshiri M.,Hang Tuah University | Gan C.K.,Hang Tuah University | Tan C.W.,University of Technology Malaysia
2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012 - Conference Proceedings | Year: 2012

In recent decades, smart grid have become increasingly attractive to both energy producers and consumers. Amongst the main challenges for the successful realization of smart grid includes the integration of renewable energy resources, real time demand response and management of intermittent energy resources. Apart from smart grid, the development of micro-grids should take into consideration of issues such as the system performance, modeling, monitoring and controlling of the micro-grids. In particular, the recent advancements in information and communication technologies (ICTs) could facilitate the effective development of the future micro-grid system. This paper presents an overview of smart grids features and highlights the recent development of micro-grid laboratories in Europe, US and Japan. © 2012 IEEE.

Document Keywords (matching the query): renewable energy resources, distributed generation, energy producers, distributed power generation.


Mohammed Y.S.,University of Technology Malaysia | Mustafa M.W.,University of Technology Malaysia | Bashir N.,University of Technology Malaysia | Mokhtar A.S.,University of Technology Malaysia
Renewable and Sustainable Energy Reviews | Year: 2013

Fossil fuels-based conventional grid extension in developing countries from centralized power systems in urban centres to rural areas is usually capital intensive and in most cases not economically realistic. From a global perspective, more than a quarter of the human population experiences an energy crisis, especially those living in the rural areas of developing countries. Among these numerous victims of global energy shortage are the majority of people in sub-Saharan Africa, like Nigeria. More than 80% of Nigerians consistently rely on combustible biomass especially from forest wood and its charcoal derivatives for primary energy consumption amidst a serious shortage of access to modern energy sources. Nigeria has abundant renewable and non-renewable energy resources. While most attention is concentrated on tapping only the traditional bioenergy resources, other renewable energy resources are underexploited. This article reviews comprehensively the potential of four major kinds of renewable energy sources (biomass, solar, wind and hydro) in Nigeria. A total energy potential of 697.15 TJ is estimated from crop residue, 455.80 PJ from animal waste and 442 MW from municipal solid waste in Lagos metropolis alone. The solar radiation in the country ranges from 4 kW h/m2 in the south to 7 kW h/m2 in the north, which is sufficiently above the threshold average value of 2.3 kW h/m2 required for the operation of simple domestic load especially in rural communities. Wind speed in the country varies from 1 m/s in the southern plain to 7.96 m/s far northwest in Katsina State between June and September. Unexploitable hydropower potential of 12,954.2 MW also exists as against the backdrop of 10,000 MW required to raise the socio-economic growth level and alleviate poverty in the country. © 2013 PublishedbyElsevierLtd.

Document Keywords (matching the query): primary energy consumption, renewable energy source, distributed generation, renewable energy, distributed power generation, non renewable energy resources, renewable energy resources, energy utilization, renewable energies, energy policy.


Tan W.-S.,University of Technology Malaysia | Hassan M.Y.,University of Technology Malaysia | Majid M.S.,University of Technology Malaysia | Abdul Rahman H.,University of Technology Malaysia
Renewable and Sustainable Energy Reviews | Year: 2013

Distributed generation has gained a lot of attractions in the power sector due to its ability in power loss reduction, increased reliability, low investment cost, and most significantly, to exploit renewable-energy resources, which produce power with minimum greenhouse-gas emissions like wind, photovoltaic and micro turbines. Installation of distributed generation at non-optimal location can result in various problems such as an increase in system losses and costs, voltage rise and fluctuations, reliability and stability problems. Therefore, it is necessary to develop an optimization or heuristic technique based methodology to identify the optimal placement of distributed renewable generation for a given system that can provide economic, environmental and technical advantages. There are several researches that study on the optimal distributed renewable generation location by their imposed constraints and objectives. However, the systematic principle for this issue is still an unsolved problem. This paper reviews some of the most popular distributed renewable generation placement methods, including 2/3 Rule, Analytical Methods, Optimal Power Flow, Mixed Integer Nonlinear Programming, various types of Artificial Intelligent optimization techniques and Hybrid Intelligent System. Each methodology has its own features and potential for significantly promote the applicability of distributed renewable generation in power systems. © 2012 Elsevier Ltd.

Document Keywords (matching the query): distributed generation, distributed renewable generation, energy resources, renewable generation, distributed power generation.


Hasan N.S.,University of Technology Malaysia | Hassan M.Y.,University of Technology Malaysia | Majid M.S.,University of Technology Malaysia | Rahman H.A.,University of Technology Malaysia
Renewable and Sustainable Energy Reviews | Year: 2013

Wind Energy is a fast developing source of energy since 1996. Despite its advantages, this energy could never be a primary source of electric power to be integrated into the grid even in high wind areas, such as Great Plains, due to its intermittent behaviour. This intermittency will generate intermittent power to grid, which leads to instability, unreliability and power quality problem onto the grid system. One of the widely accepted methods to overcome this problem is by coupling the wind turbine with the energy storage system. This paper reviews the ability of four different types of the energy storage system to mitigate the power fluctuated into the grid, especially during low wind speed. This paper also explains the operating principles and the different methods of charging and discharging the energy storage. The ability of permanent magnet synchronous generator (PMSG) in dealing with variable wind speed also will be discussed. © 2013 Elsevier Ltd.

Document Keywords (matching the query): distributed generation, wind energy systems, energy storage systems, distributed power generation, energy storage system, energy storage, source of energy, wind energy.


Tan W.S.,University of Technology Malaysia | Hassan M.Y.,University of Technology Malaysia | Majid M.S.,University of Technology Malaysia
2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012 - Conference Proceedings | Year: 2012

Distributed generation has been becoming more well-known in the power sector due to its ability in power loss reduction, low investment cost, increase reliability, and most significantly, to exploit renewable-energy resources. The optimal placement and sizing of distributed generation are necessary for maximizing the distributed generation potential benefits in a power system. In this paper, a novel multi population-based genetic algorithm is proposed for optimal location and sizing of distributed generation in a radial distribution system. The objective is to minimize the total real power losses in the system and improve voltage stability within the voltage constrains. Both the optimal size and location are obtained as outputs from the genetic algorithm toolbox. An analysis is carried out on 30 bus systems and compare with the analytical method and standard genetic algorithm to verify the effectiveness of the proposed methodology. Results show that the proposed method is more efficient in power losses reduction compared to analytical method, also faster in convergence than standard genetic algorithm. © 2012 IEEE.

Document Keywords (matching the query): distributed generation, energy resources, distributed power generation.


Ho W.S.,University of Technology Malaysia | Hashim H.,University of Technology Malaysia | Hassim M.H.,University of Technology Malaysia | Muis Z.A.,University of Technology Malaysia | Shamsuddin N.L.M.,University of Technology Malaysia
Applied Energy | Year: 2012

This paper presents a new numerical method called the Electricity System Cascading Analysis (ESCA). ESCA is developed based on pinch analysis principles and useful for designing and optimizing non-intermittent power generator (biomass, biogas, natural gas, diesel, etc.) and energy storage for Distributed Energy Generation (DEG) system. DEG system configuration for this case study comprise of solar Photovoltaic (PV), biomass power generator and Sodium Sulfur (NaS) battery system. Application of the technique on isolated community consisting of 100 houses and daily energy demand of 845. kW. h reveals that the power capacity of the biomass power generator is 39.76. kW, NaS battery is 75.8. kW, and the energy capacity of NaS battery is 157.01. kW. h. © 2012 Elsevier Ltd.

Document Keywords (matching the query): power generation, distributed energy generation deg, energy capacity, distributed energies, renewable energy re, energy conservation, energy efficiency, distributed energy systems, energy storage, energy demands, renewable energies.


Shan Tan W.,University of Technology Malaysia | Yusri Hassan M.,University of Technology Malaysia | Abdul Rahman H.,University of Technology Malaysia | Abdullah M.P.,University of Technology Malaysia | Hussin F.,University of Technology Malaysia
IET Generation, Transmission and Distribution | Year: 2013

Distributed generation (DG) has been becoming more well-known in the power sector because of its ability in power loss reduction, low investment cost, increase reliability, and most significantly, to exploit renewable-energy resources. In this study, a multi-objective index-based approach for optimally determining the placement and size of multi-DG units in distribution systems, including the voltage rise phenomenon is proposed. The proposed approach considers a wide range of technical aspects such as the total real power losses in the system, the voltage profile, the mega volt ampere intake by the grid, the DG quantity and the greenhouse gases emission. A novel hybrid population-based algorithm with the combination of particle swarm optimisation (PSO), and gravitational search algorithm (GSA) is introduced. To reveal the validity of the hybrid PSO-GSA, an analysis is carried out on 69-bus systems then compared with results obtained by pre-combined methods. The outcomes verify that the proposed algorithm is efficient, robust, and capable of handling mixed integer nonlinear optimisation problem. © The Institution of Engineering and Technology 2013.

Document Keywords (matching the query): energy resources, distributed power generation.

Loading University of Technology Malaysia collaborators
Loading University of Technology Malaysia collaborators