Performance Comparison for Parabolic Dish Concentrating Solar Power in High Level DNI Locations with George Town, Malaysia

Parabolic Dish (PD), Concentrating Solar Power (CSP) generation has appeared as one of Renewable Energy (RE) that is efficient and trustworthy. As technology moves into commercialization, it is necessary to study the performance of PD system at various locations. Current literature on PD especially for tropical environment such as Malaysia and locations with Direct Normal Irradiance (DNI) lower than 1500kWh/m2/year is still scarce and scattered. Most of the studies are focusing on the performance at location with DNI higher than 2100 kWh/m2/year. Therefore, this paper presents the performance of PD in tropical environment of Malaysia and four other locations such as; Thailand, Korea, Australia and United States of America (USA). System Advisor Model (SAM) was used to analyze the performance of PD for selection countries. The simulation result shows that the annual energy production for George Town in Malaysia is 21,845kWh, and shows areas of high DNI have high power output such as Phoenix, USA 184,189kWh; Canberra, Australia 121,536kWh; Bangkok, Thailand is 48,736kWh and Inch'on, Korea 45,450kWh

Linking Halal Food Certification and Business Performance

Purpose: The purpose of this paper is to explore the relationship between Halal food certification (HFC) and business performance. This study argues that Halal food certificate implementation positively influences business performance. Design/methodology/approach: A total of 210 Halal certified food manufacturing companies in Malaysia participated in the study. Data were gathered through a structured questionnaire and were analysed using partial least squares structural equation modelling technique. Findings: The study proved that HFC has a positive relationship with operational performance. Additionally, operational performance mediates the relationship between HFC and financial performance. Altogether, this signifies that Halal food certificate implementation positively influences business performance. Practical implications: By linking HFC and business performance, managers may be aware of the significant role of HFC in influencing operational and financial performance. It would entice more food companies to become Halal certified that opens up an opportunity to a lucrative Halal food industry. It also empirically justifies that a religion-based food certification has the ability to influence business performance, consistent with other established food standards such as ISO 22000 or HACCP. Originality/value: Although numerous studies have concentrated on well-established food certifications, the expanding Muslim population, rising demand for Halal food, and lucrative Halal food market have raised the attention on HFC research among academicians and practitioners. This research is able to highlight the importance of implementing HFC among food companies as it could potentially lead to superior business outcomes

Development of Design Parameters for the Concentrator of Parabolic Dish (PD) Based Concentrating Solar Power (CSP) under Malaysia Environment

Concentrating Solar Power (CSP) technologies has the ability to harness solar energy for producing the electricity. The development becomes increasingly important for economies in many countries, especially in the regions that is hot, dry and received excellent solar radiation. Meanwhile, among the CSP technologies, Parabolic Dish (PD) system has demonstrated a high thermal efficiency and the implementation of PD concentrator will result in sustainable energy generation with emission free operation. However, PD based CSP technology is still an emerging industry in Malaysia with no operation plant installed so far. It still needs thorough review before developing the PD technologies under the Malaysia tropical environment. Therefore a Matlab Simulink is used in this work to design the concentrator for the PD 1kW system under Malaysia environment. This paper elaborates the methodology utilized to develop the concentrator for the PD 1kW system and outlines the parameter that's used for increasing the efficiency of PD based CSP under Malaysia tropical environment. From the simulation result, it is suggested to used 3.7 meters for the concentrator diameter and aluminium as the reflective material for the concentrator. As a conclusion the size and the reflective material for the concentrator are essential. Therefore, it should be taken into account before developing the geometric parameters for PD concentrator under Malaysia environment

Optimum distributed generation allocation using PSO in order to reduce losses and voltage improvement

The technology advancement in Distributed Generations (DG) has significantly influenced the environmental pollution. In power system, more especially in distribution networks, DGs can able to mitigate the total losses of the network which effectively has significant effects on environmental pollution. Optimal location and size of DG in distribution networks is one of the important issues of the power system. This paper aims to investigate the best solution for optimal operation of distribution networks by taking into consideration of DG. The optimal allocation of DG can be considered as an integer problem that can be formulated by met heuristic methods. In this paper, the Particle Swarm Optimization (PSO) algorithm has been used to solve the DG placement and sizing. The IEEE 34 bus test system has been utilized to demonstrate the effectiveness of the PSO algorithm on herein mentioned problem. The result illustrates the losses minimization and voltage profile improvement

Optimum MV Feeder Routing and Substation siting and rating in Distribution Network

A distribution network planning consists of several complexity aspects due to the multiple decision variables. The main objective of the distribution system planning is to find the optimum number of substation, location, size and feeders routing. This paper proposes an evolutionary algorithm to determine the optimum distribution substation placement and sizing by using the particle swarm optimization algorithm and optimum feeder routing using modified minimum spanning tree algorithm. The proposed algorithm evaluates on the distribution network case with 164 load blocks. The results showed the effectiveness of the proposed algorithm to find the acceptable location and sizing of distribution substations with a proper routing of the feeder

Optimum Distributed Generation Allocation Using PSO in order to Reduce Losses and Voltage Improvement

The technology advancement in Distributed Generations (DG) has significantly influenced the environmental pollution. In power system, more especially in distribution networks, DGs can able to mitigate the total losses of the network which effectively has significant effects on environmental pollution. Optimal location and size of DG in distribution networks is one of the important issues of the power system. This paper aims to investigate the best solution for optimal operation of distribution networks by taking into consideration of DG. The optimal allocation of DG can be considered as an integer problem that can be formulated by met heuristic methods. In this paper, the Particle Swarm Optimization (PSO) algorithm has been used to solve the DG placement and sizing. The IEEE 34 bus test system has been utilized to demonstrate the effectiveness of the PSO algorithm on herein mentioned problem. The result illustrates the losses minimization and voltage profile improvement

Optimum distributed generation allocation using PSO in order to reduce losses and voltage improvement

The technology advancement in Distributed Generations (DG) has significantly influenced the environmental pollution. In power system, more especially in distribution networks, DGs can able to mitigate the total losses of the network which effectively has significant effects on environmental pollution. Optimal location and size of DG in distribution networks is one of the important issues of the power system. This paper aims to investigate the best solution for optimal operation of distribution networks by taking into consideration of DG. The optimal allocation of DG can be considered as an integer problem that can be formulated by met heuristic methods. In this paper, the Particle Swarm Optimization (PSO) algorithm has been used to solve the DG placement and sizing. The IEEE 34 bus test system has been utilized to demonstrate the effectiveness of the PSO algorithm on herein mentioned problem. The result illustrates the losses minimization and voltage profile improvement

Green Purchasing Practices and Environmental Performance

Green purchasing aims to minimize negative environmental impacts in manufacturing process and transportation by using durable, recyclable and reusable materials. This study aims investigate the impact of green purchasing practices including green product, green process and green supplier on environmental and business performance in the context of Malaysian manufacturing companies. A total of 156 questionnaires were distributed to different industry sectors. The findings show that green product, green process and green supplier are significantly and positively related to environmental performance. In addition, green product is the main predictor of the environmental performance. Ultimately, the results could offer useful guidance for green purchasing practices implementation in Malaysian manufacturing companies and provide a springboard for further empirical research in the area

Using Particle Swarm Optimization Algorithm in the Distribution System Planning

Technology advancement, the drive to reduce environmental pollution and energy security concern, have led to an increase in the use of Distributed Generations (DGs). One of the important aspects of the power system is the optimal operation of distribution networks. Therefore, the objective of this paper is to determine the possible solution for optimal operation of distribution networks which takes into account the impact of DG. Since the optimal operation of distribution networks is an optimization problem with discrete and continuous variables, it can be introduced as an integer problem that can be formulated using the metaheuristic approach. This paper utilizes the Particle Swarm Optimization (PSO) algorithm to solve the distribution planning problem with DG. In addition, a case study on IEEE 34 bus system has been carried out to demonstrate the effectiveness of the PSO algorithm with regards to Genetic Algorithm (GA). Results indicate that PSO have better performance over the GA in terms of cost of losses minimization and convergence time. Future work should consider to minimize the overall network cost simultaneously that takes into account the DG investment cost, cost of losses and maintenance cost

Sensitivity Analysis and Comparison between 25 kW Parabolic Dish System

Dish-Stirling concentrating solar power systems is an efficient and reliable source of renewable energy. In this paper, the proposed model showed the idea of Parabolic Dish (PD) systems with control system model which vary the amount of working gas in the Stirling engine. The control systems were designed using Matlab /Simulink 2012a. Based on the developed linearized model, an improved temperature controller with transient droop characteristic and Mean Pressure Control (MPC) has been proposed. This temperature controller was effective in reducing the temperature and improving performance of the PD system. The overall performance of the system improved more than 78% in output power and energy. Besides, the system improved in term of sensitivity compared with the PD system without compensated. In addition, thermal losses decreased to 97.6% which is directly have significant improvement for the output efficiency to the system. The analysis shows that the PD system is feasible in term of technical but not economically feasible in the Malaysia environment