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Simulation and optimum design of hyb...

Zhou, Wei.

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Simulation and optimum design of hybrid solar-wind and solar-wind-diesel power generation systems.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Simulation and optimum design of hybrid solar-wind and solar-wind-diesel power generation systems./
Author:	Zhou, Wei.
Description:	200 p.
Notes:	Adviser: Hongxing Yang.
Contained By:	Dissertation Abstracts International69-05B.
Subject:	Energy. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3313069
ISBN:	9780549621546

Simulation and optimum design of hybrid solar-wind and solar-wind-diesel power generation systems.
Zhou, Wei.

Simulation and optimum design of hybrid solar-wind and solar-wind-diesel power generation systems. - 200 p.

Adviser: Hongxing Yang.

Thesis (Ph.D.)--Hong Kong Polytechnic University (Hong Kong), 2008.

By statistically analyzing the long-term hourly solar and wind speed data, Hong Kong area is found to have favorite solar and wind power resources compared with other areas, which validates the practical applications in Hong Kong and Guangdong area.

ISBN: 9780549621546Subjects--Topical Terms:

876794
Energy.

Simulation and optimum design of hybrid solar-wind and solar-wind-diesel power generation systems.
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020 $a 9780549621546
035 $a (UMI)AAI3313069
035 $a AAI3313069
040 $a UMI $c UMI
100 1 $a Zhou, Wei. $3 1064868
245 1 0 $a Simulation and optimum design of hybrid solar-wind and solar-wind-diesel power generation systems.
300 $a 200 p.
500 $a Adviser: Hongxing Yang.
500 $a Source: Dissertation Abstracts International, Volume: 69-05, Section: B, page: 3242.
502 $a Thesis (Ph.D.)--Hong Kong Polytechnic University (Hong Kong), 2008.
520 $a By statistically analyzing the long-term hourly solar and wind speed data, Hong Kong area is found to have favorite solar and wind power resources compared with other areas, which validates the practical applications in Hong Kong and Guangdong area.
520 $a Solar and wind energy systems are considered as promising power generating sources due to its availability and topological advantages in local power generations. However, a drawback, common to solar and wind options, is their unpredictable nature and dependence on weather changes, both of these energy systems would have to be oversized to make them completely reliable.
520 $a Fortunately, the problems caused by variable nature of these resources can be partially overcome by integrating these two resources in a proper combination to form a hybrid system. However, with the increased complexity in comparison with single energy systems, optimum design of hybrid system becomes more complicated. In order to efficiently and economically utilize the renewable energy resources, one optimal sizing method is necessary.
520 $a This thesis developed an optimal sizing method to find the global optimum configuration of stand-alone hybrid (both solar-wind and solar-wind-diesel) power generation systems. By using Genetic Algorithm (GA), the optimal sizing method was developed to calculate the system optimum configuration which offers to guarantee the lowest investment with full use of the PV array, wind turbine and battery bank.
520 $a For the hybrid solar-wind system, the optimal sizing method is developed based on the Loss of Power Supply Probability (LPSP) and the Annualized Cost of System (ACS) concepts. The optimization procedure aims to find the configuration that yields the best compromise between the two considered objectives: LPSP and ACS. The decision variables, which need to be optimized in the optimization process, are the PV module capacity, wind turbine capacity, battery capacity, PV module slope angle and wind turbine installation height.
520 $a For the hybrid solar-wind-diesel system, minimization of the system cost is achieved not only by selecting an appropriate system configuration, but also by finding a suitable control strategy (starting and stopping point) of the diesel generator. The optimal sizing method was developed to find the system optimum configuration and settings that can achieve the custom-required Renewable Energy Fraction (fRE) of the system with minimum Annualized Cost of System (ACS).
520 $a Du to the need for optimum design of the hybrid systems, an analysis of local weather conditions (solar radiation and wind speed) was carried out for the potential installation site, and mathematical simulation of the hybrid systems' components was also carried out including PV array, wind turbine and battery bank.
520 $a Simulation of PV array performance includes three main parts: modeling of the maximum power output of the PV array, calculation of the total solar radiation on any tilted surface with any orientations, and PV module temperature predictions. Five parameters are introduced to account for the complex dependence of PV array performance upon solar radiation intensities and PV module temperatures. The developed simulation model was validated by using the field-measured data from one existing building-integrated photovoltaic system (BIPV) in Hong Kong, and good simulation performance of the model was achieved.
520 $a Lead-acid batteries used in hybrid systems operate under very specific conditions, which often cause difficulties to predict when energy will be extracted from or supplied to the battery. In this thesis, the lead-acid battery performance is simulated by three different characteristics: battery state of charge (SOC), battery floating charge voltage and the expected battery lifetime. Good agreements were found between the predicted values and the field-measured data of a hybrid solar-wind project.
520 $a At last, one 19.8kW hybrid solar-wind power generation project, designed by the optimal sizing method and set up to supply power for a telecommunication relay station on a remote island of Guangdong province, was studied. Simulation and experimental results about the operating performances and characteristics of the hybrid solar-wind project have demonstrated the feasibility and accuracy of the recommended optimal sizing method developed in this thesis.
590 $a School code: 1170.
650 4 $a Energy. $3 876794
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Engineering, Mechanical. $3 783786
690 $a 0544
690 $a 0548
690 $a 0791
710 2 $a Hong Kong Polytechnic University (Hong Kong). $3 1020200
773 0 $t Dissertation Abstracts International $g 69-05B.
790 $a 1170
790 1 0 $a Yang, Hongxing, $e advisor
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3313069