TY - GEN
T1 - Wind farm site selection base on fuzzy analytic hierarchy process method; Case study area Nganjuk
AU - Multazam, Teuku
AU - Putri, Ratna Ika
AU - Pujiantara, Margo
AU - Priyadi, Ardyono
AU - Mauridhi Hery, P.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/20
Y1 - 2017/1/20
N2 - The selection of site wind farm is an important element in building a wind power generation to get a site that is capable of produce maximum energy, economic and environmental agreeable. It is obtained if proposed alternative sites has continuous wind resources, access to the grid, good topography, land costs are cheap, reduce noise blade and available road access. The site proposed of study is Sukomoro, Rejoso, Lengkong, Nganjuk and Pace. It will be decided using Fuzzy Analytic Hierarchy Process(F-AHP) based on multi criteria eg, technical, economic and environment. The decision making process is decided by compare each element of main criteria with each of altenative so that to get a best site, it is best highest weight to recommend. In this study show that, weight of final is resulted by each alternative are Sukomoro is 0.3205, Rejoso is 0.1632, Lengkong is 0.1218, Nganjuk is 0.3095 and Pace is 0.0602. Based on testing, Sukomoro to get highest weight so that it is recommended for use by governments and companies electricity as a reference in policy formulation and calculate cost of electricity.
AB - The selection of site wind farm is an important element in building a wind power generation to get a site that is capable of produce maximum energy, economic and environmental agreeable. It is obtained if proposed alternative sites has continuous wind resources, access to the grid, good topography, land costs are cheap, reduce noise blade and available road access. The site proposed of study is Sukomoro, Rejoso, Lengkong, Nganjuk and Pace. It will be decided using Fuzzy Analytic Hierarchy Process(F-AHP) based on multi criteria eg, technical, economic and environment. The decision making process is decided by compare each element of main criteria with each of altenative so that to get a best site, it is best highest weight to recommend. In this study show that, weight of final is resulted by each alternative are Sukomoro is 0.3205, Rejoso is 0.1632, Lengkong is 0.1218, Nganjuk is 0.3095 and Pace is 0.0602. Based on testing, Sukomoro to get highest weight so that it is recommended for use by governments and companies electricity as a reference in policy formulation and calculate cost of electricity.
KW - Analytic Hierarchy Process (AHP)
KW - Fuzzy Analytic Hierarchy Process(F-AHP)
KW - Wind Power Criteria
KW - Wind farm
UR - http://www.scopus.com/inward/record.url?scp=85016718251&partnerID=8YFLogxK
U2 - 10.1109/ISITIA.2016.7828718
DO - 10.1109/ISITIA.2016.7828718
M3 - Conference contribution
AN - SCOPUS:85016718251
T3 - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy
SP - 545
EP - 550
BT - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
Y2 - 28 July 2016 through 30 July 2016
ER -
