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  <titleInfo>
    <title>Analysis of a hybrid renewable microgrid system for Nainativu Island, Sri Lanka</title>
  </titleInfo>
  <name type="personal">
    <namePart>Wijayawardena, Masingha Kavinda Randima</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Weerakorn Ongsakul</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Singh, Jai Govind</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Dhakal, Shobhakar</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Asian Institute of Technology Fellowship</namePart>
    <role>
      <roleTerm type="text">Scholarship donor </roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">series</genre>
  <genre authority="marc">technical report</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Pathum Thani, Thailand</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>2018</dateIssued>
    <issuance>continuing</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>1 online resource, 44 leaves : ill. (some col.)</extent>
  </physicalDescription>
  <abstract>Sri 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.</abstract>
  <note>A research studysubmitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy</note>
  <note>Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2018</note>
  <subject authority="lcsh">
    <topic>Microgrids (Smart power grids)</topic>
    <geographic>Sri Lanka</geographic>
    <geographic>Nainativu Island</geographic>
  </subject>
  <subject authority="lcsh">
    <topic>Hybrid power systems</topic>
    <geographic>Sri Lanka</geographic>
    <geographic>Nainativu Island</geographic>
  </subject>
  <subject authority="lcsh">
    <topic>Renewable energy sources</topic>
    <geographic>Sri Lanka</geographic>
    <geographic>Nainativu Island</geographic>
  </subject>
  <relatedItem type="series">
    <titleInfo>
      <title>Research studies  project report ; no. ET-18-01</title>
    </titleInfo>
    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
      <namePart/>
    </name>
  </relatedItem>
  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B04520</identifier>
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    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B04520</url>
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    <recordCreationDate encoding="marc">210210</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260817162302.0</recordChangeDate>
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