{"title":"Development and optimisation of energy efficiency for regional network pump station via glass reinforced plastics material: A design and built case study","authors":"N. Ramli, M. K. A. Hamid, M. Mokhtar","doi":"10.1109/PGSRET.2017.8251800","DOIUrl":"https://doi.org/10.1109/PGSRET.2017.8251800","url":null,"abstract":"Electricity plays an important role in our daily life. With this, the energy efficiency is one of the important issues in relation to electricity consumption because of increasing the electricity power demand per annum. A network pump station (NPS) is designed to discharge the sewage from the domestic, commercial and industrial to the sewerage treatment plant (STP). In view of rapid development and increasing of the electricity tariff, a regional network pump station has consumed a lot of electricity nowadays. The energy efficiency of pump station system has been calculated and design. The methodology for the system use is a Hazen-Williams equation that to control the flow rate of sewage in a pipe with the physical properties and the pressure drop caused by friction. The selection of the pipe material use is glass reinforced plastics (GRP) instead of traditional material such as ductile (DI) iron pipe because of it characteristics. This study is focusing on the result comparisons between using a ductile iron (DI) force main pipe and glass reinforced plastics (GRP) force mains pipeline. Then, the performances of variable speed Drive (VSD) in varies speed to enhance energy consumption in network pump station. It is clearly that the VSD is more reliable in term of speed regulation to optimize energy usage by changing the Total Head of Force Main. By applying this method, a network pump station can be optimized the Energy Efficiency further and subsequently will show the reduction of power consumption, electricity bills and carbon emission. As results, it will bring a lot of benefits for longterm application and gives a lot of saving in return of investment (ROI).","PeriodicalId":336020,"journal":{"name":"2017 3rd International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128416329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Numerical investigation of nonlinear power-law fin type problem using hybrid heuristic computation","authors":"S. A. Malik, I. Qureshi, S. Badshah","doi":"10.1109/PGSRET.2017.8251818","DOIUrl":"https://doi.org/10.1109/PGSRET.2017.8251818","url":null,"abstract":"In this paper, the temperature distribution of a straight fin is investigated using an elegant scheme combining Genetic algorithm (GA) and Bernstein polynomials. The solution of the fin problem which is described by the nonlinear ordinary differential equation (NODE) is approximated by Bernstein polynomials with unknown constants. The unknown constants are obtained by transforming the NODE into an equivalent optimization problem. The optimization problem is solved by employing the Genetic algorithm (GA) and hybrid approach combining GA with interior point algorithm (IPA). The efficacy of the proposed scheme is illustrated by numerically solving the power-law fin type problem. Moreover, the variation in convective-conductive parameter and different modes of heat transfer are also investigated. The results confirm that the proposed technique is quite effective in the analysis of strongly nonlinear fin type problems.","PeriodicalId":336020,"journal":{"name":"2017 3rd International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132592400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H. Mohamad, A. I. Isa, Z. M. Yasin, N. A. Salim, N. N. A. M. Rahim
{"title":"Optimal load shedding technique for an islanding distribution system by using Particle Swarm Optimization","authors":"H. Mohamad, A. I. Isa, Z. M. Yasin, N. A. Salim, N. N. A. M. Rahim","doi":"10.1109/PGSRET.2017.8251819","DOIUrl":"https://doi.org/10.1109/PGSRET.2017.8251819","url":null,"abstract":"Power system is heavily loaded with increase in electricity demand. Frequency instability during islanding scenarios is an important issue to be addressed. Frequency instability happens when the power balance between generation and load demand is not met. During islanding, Under-Frequency Load Shedding (UFLS) technique is implemented to stabilize the system frequency and to ensure uninterrupted power supply to the customers. This paper proposes an optimal load shedding approach using Particle Swarm Optimization (PSO) technique for islanded mode of operation. The technique determines the optimal amount of load that needs to be shed considering power imbalance. The proposed load shedding approach is developed using MATLAB and is validated on distribution system modeled using PSCAD software. Simulation results show that the proposed PSO based approach was able to stabilize the system frequency by shedding the load optimally.","PeriodicalId":336020,"journal":{"name":"2017 3rd International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130692942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Benchmarking of MCBEND computer code against the PWR shield design","authors":"R. Khan, M. N. Khan, M. Qureshi","doi":"10.1109/PGSRET.2017.8251814","DOIUrl":"https://doi.org/10.1109/PGSRET.2017.8251814","url":null,"abstract":"A Nuclear Power Plant has major concern of The main objective of this research work is to qualify the radiation shield design computer code MCBEND against the reference results of typical PWR type Chashma Nuclear Power Plant-1 (CNPP- 1). For this purpose, a detailed 3-D computational model of the radial and axial shield of CNPP-1 is developed employing Monte Carlo computer code MCBEND equipped with DICE cross section libraries. For validation purpose, this paper compares the MCBEND simulated neutron flux distribution in the reactor shield with the reference values of CNPP-1. The predicted results captures the behavior of reference values and exhibits reasonable good agreement with the reference values.","PeriodicalId":336020,"journal":{"name":"2017 3rd International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127671529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integrated 1D-chemical kinetics model of a diesel and biodiesel fuelled light-duty diesel engine","authors":"J. Ng, Kang Yao Wong, C. Chong, S. Rajoo","doi":"10.1109/PGSRET.2017.8251807","DOIUrl":"https://doi.org/10.1109/PGSRET.2017.8251807","url":null,"abstract":"In recent years, advances in numerical modelling of engines have led to the integration of 3-dimensional computational fluid dynamics with chemistry to calculate both the physical flow field and complex chemical reactions. However, it is only feasible to simulate the combustion chamber, but not the entire engine due to simulation runtime limitations. Onedimensional (1D) simulations of an entire engine are rapid yet comprehensive, but focus only on the applied thermodynamics with rudimentary global reaction chemistry. In this study, a compact combined biodiesel-diesel chemical kinetics reaction mechanism is integrated into the 1D modelling of a complete engine. Entire engine cycle from air intake to exhaust product is simulated using commercial software, AVL Boost. This allows for rapid system-level simulation which takes into account applied thermodynamics with complex chemical kinetics to account for combustion and pollutant formation. The integrated 1D-chemical kinetics model is successfully validated against experimental data with both the diesel and palm biodiesel fuel for key combustion parameters. The model would be able to simulate any dieselbiodiesel mixture of any blend levels and also biodiesel produced from different feedstock. This is due to the reaction mechanism comprising of n-Heptane, methyl butanoate and methyl crotonate which are the surrogate fuel models of straight chain hydrocarbon, saturated fatty acid methyl ester (FAME) and unsaturated FAME, respectively. Thus, CME, PME, and SME, are selected for blending due to their innate FAME proportions to represent the high, medium, and low saturated:unsaturated biodiesel, respectively. In all, through 100 simulated cases, this study demonstrated the feasibility of integrating chemical kinetics into 1D numerical model for a complete engine. Ultimately, the use of an integrated 1D-chemical kinetics model for engine simulations can greatly reduce optimisation time for emissions reduction.","PeriodicalId":336020,"journal":{"name":"2017 3rd International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121062846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Energetic, economic and environmental (3E) optimization of solar assisted heat pump using low GWP refrigerant R1234ze(E) for high temperature application","authors":"N. Nasruddin, M. I. Alhamid, N. Aisyah","doi":"10.1109/PGSRET.2017.8251805","DOIUrl":"https://doi.org/10.1109/PGSRET.2017.8251805","url":null,"abstract":"A combination of solar thermal collectors and heat pumps in a solar assisted heat pump for high temperature application at 105oC is modeled and optimized. The model is designed by using Matlab software. The optimization procedure, coefficient of performance and total cost becomes the objective functions while the evaporating temperature, suction compressor temperature and condensing temperature are selected as constraints. Multi objective genetic algorithm is used to find the optimum value of those selected constraints. The optimization is performed by using a low GWP refrigerant, R1234ze (E). The result showed that an evaporating temperature of 319 K, suction compressor temperature of 372 K and condensing temperature of 379 K indicated the optimum condition of solar assisted heat pump with COP of 5.04 and total cost of 82,678 US$.","PeriodicalId":336020,"journal":{"name":"2017 3rd International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127896043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}