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008 210210s2018 th uu m rtt 0| a1eng d
035 _a.b12306915
099 9 _aAIT RSPR no.ET-18-01
100 1 _aWijayawardena, Masingha Kavinda Randima
245 1 0 _aAnalysis of a hybrid renewable microgrid system for Nainativu Island, Sri Lanka
260 _aPathum Thani, Thailand :
_bAsian Institute of Technology,
_c2018
300 _e1 online resource, 44 leaves :
_bill. (some col.)
490 1 _aResearch studies project report ;
_vno. ET-18-01
500 _aA research studysubmitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy
502 _aResearch Studies Project Report (M. Eng.) - Asian Institute of Technology, 2018
520 _aSri Lankan government had an aim to achieve 100% household electrification by end of year 2012. 99% of the population (households) has been already served with grid-based electrification, but surpassing that percentage using same technologies, is quite difficult. Remaining 1 % of the households require off-grid technologies for electrification while mainly depending on the renewable based technologies, namely solar photovoltaic, wind, biomass and micro hydro. Employment of renewable based off-grid technologies is typically constrained by the seasonal variations of the resource. This issue can be resolved by coupling renewable based power generation technologies with a biomass generation to build a hybrid power system. Given the relatively higher investment cost, designing and optimizing a hybrid power plant have to be carried out cautiously to produce electricity at competitive prices. Eluvaitivu, Analaitivu, Nainativu and Delft Islands are isolated islands situated in the Northern part of Sri Lanka, viz. Jaffua Peninsula. The islets are far away from mainland. At the moment, diesel generators are serving the households in these islets for a limited number of hours (a very few islands have round the clock power supply). Electrification rate of these islands are extremely low, because of the Grid limitations. The main objective of the research is to turn up with four different off-grid Hybrid Power systems (including the existing system) and provide reliable, cost effective power supply to the occupants on Nainativu Island, an isolated island, situated in northern region of Sri Lanka and by doing so enable the 100% electrification target set earlier by the Govt. of Sri Lanka. Lankan government failed to achieve this by the end of 2012 as it was planned initially. The research study focuses on modeling the existing off-grid power system (Standalone Diesel Generator system) and three optional cost effective off-grid hybrid system configurations (DiesellBiomass, Battery/Solar/Biomass, and Battery/Solar/Diesel) to achieve 100% electrification of the island, while maintaining a 24 hour continuous electricity supply to the consumers. Status of the current system and load data of Nainativu Island have been collected from the local distribution company, CEB. Simulations of all modeled systems are performed on HOMER to obtain the results, and sensitivity analysis is conducted on the three HOMER files corresponding to the three respective alternate systems following the simulations. Based on the simulation results procured; TNPC Analysis is subsequently conducted for the three alternate systems in terms of the respective sensitivity variables chosen for each system. Optimal Capacity Variation Analysis is also conducted for only two systems, namely, Battery/Solar/Biomass and Battery/Solar/Diesel. For every analysis, the optimal configurations (most economical combinations of technologies) with the lowest TNPC and lowest CaE are picked from optimization simulation results.
650 0 _aMicrogrids (Smart power grids)
_zSri Lanka
_zNainativu Island
650 0 _aHybrid power systems
_zSri Lanka
_zNainativu Island
650 0 _aRenewable energy sources
_zSri Lanka
_zNainativu Island
700 0 _aWeerakorn Ongsakul,
_eChairperson
700 1 _aSingh, Jai Govind,
_eExamination Committee
700 1 _aDhakal, Shobhakar,
_eExamination Committee
710 2 _aAsian Institute of Technology Fellowship,
_eScholarship donor
810 2 _aAsian Institute of Technology.
_tResearch studies project report ;
_vno. ET-18-01
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B04520
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