Optimization Solar Farm site selection using Multi-Criteria Decision Making Fuzzy AHP and PROMETHEE: Case study in Bali

Kadek Aldrin Wiguna; Riyanarto Sarno; Nurul Fajrin Ariyani

doi:10.1109/ICTS.2016.7910305

Optimization Solar Farm site selection using Multi-Criteria Decision Making Fuzzy AHP and PROMETHEE: Case study in Bali

Kadek Aldrin Wiguna
, Riyanarto Sarno
, Nurul Fajrin Ariyani

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

59 Citations (Scopus)

Abstract

The process of Solar Farm site selection is a complex issue because it involves many criteria and many factors that are classified as problem Multi-Criteria Decision Making (MCDM). With computer technology, it is possible to analyze systematically the MCDM complex problems through computational intelligence techniques. Many methods have been developed to solve optimization problems of Solar Farm site selection such as Fuzzy AHP - PROMETHEE. However, these methods have not integrated directly into GIS software. In this research this methods will be integrated into GIS software especially ArcGIS as a toolbox. With this toolbox, determining the location of the solar farm will be more effective and easily. This research provide the methodology and decision support so that decision makers can more easily and quickly to determine the best location of solar farm.

Original language	English
Title of host publication	Proceedings of 2016 International Conference on Information and Communication Technology and Systems, ICTS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	237-243
Number of pages	7
ISBN (Electronic)	9781509013791
DOIs	https://doi.org/10.1109/ICTS.2016.7910305
Publication status	Published - 24 Apr 2017
Event	2016 International Conference on Information and Communication Technology and Systems, ICTS 2016 - Surabaya, Indonesia Duration: 12 Oct 2016 → …

Publication series

Name	Proceedings of 2016 International Conference on Information and Communication Technology and Systems, ICTS 2016

Conference

Conference	2016 International Conference on Information and Communication Technology and Systems, ICTS 2016
Country/Territory	Indonesia
City	Surabaya
Period	12/10/16 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

ArcGIS toolbox
Fuzzy AHP
Geographic Information System(GIS)
Multi-Criteria Decision Making(MDCM)
Promethee
Renewable Energy
Solar farm

Access to Document

10.1109/ICTS.2016.7910305

Cite this

Aldrin Wiguna, K., Sarno, R., & Ariyani, N. F. (2017). Optimization Solar Farm site selection using Multi-Criteria Decision Making Fuzzy AHP and PROMETHEE: Case study in Bali. In Proceedings of 2016 International Conference on Information and Communication Technology and Systems, ICTS 2016 (pp. 237-243). Article 7910305 (Proceedings of 2016 International Conference on Information and Communication Technology and Systems, ICTS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICTS.2016.7910305

Aldrin Wiguna, Kadek ; Sarno, Riyanarto ; Ariyani, Nurul Fajrin. / Optimization Solar Farm site selection using Multi-Criteria Decision Making Fuzzy AHP and PROMETHEE : Case study in Bali. Proceedings of 2016 International Conference on Information and Communication Technology and Systems, ICTS 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 237-243 (Proceedings of 2016 International Conference on Information and Communication Technology and Systems, ICTS 2016).

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title = "Optimization Solar Farm site selection using Multi-Criteria Decision Making Fuzzy AHP and PROMETHEE: Case study in Bali",

abstract = "The process of Solar Farm site selection is a complex issue because it involves many criteria and many factors that are classified as problem Multi-Criteria Decision Making (MCDM). With computer technology, it is possible to analyze systematically the MCDM complex problems through computational intelligence techniques. Many methods have been developed to solve optimization problems of Solar Farm site selection such as Fuzzy AHP - PROMETHEE. However, these methods have not integrated directly into GIS software. In this research this methods will be integrated into GIS software especially ArcGIS as a toolbox. With this toolbox, determining the location of the solar farm will be more effective and easily. This research provide the methodology and decision support so that decision makers can more easily and quickly to determine the best location of solar farm.",

keywords = "ArcGIS toolbox, Fuzzy AHP, Geographic Information System(GIS), Multi-Criteria Decision Making(MDCM), Promethee, Renewable Energy, Solar farm",

author = "\{Aldrin Wiguna\}, Kadek and Riyanarto Sarno and Ariyani, \{Nurul Fajrin\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Conference on Information and Communication Technology and Systems, ICTS 2016 ; Conference date: 12-10-2016",

year = "2017",

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doi = "10.1109/ICTS.2016.7910305",

language = "English",

series = "Proceedings of 2016 International Conference on Information and Communication Technology and Systems, ICTS 2016",

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Aldrin Wiguna, K, Sarno, R & Ariyani, NF 2017, Optimization Solar Farm site selection using Multi-Criteria Decision Making Fuzzy AHP and PROMETHEE: Case study in Bali. in Proceedings of 2016 International Conference on Information and Communication Technology and Systems, ICTS 2016., 7910305, Proceedings of 2016 International Conference on Information and Communication Technology and Systems, ICTS 2016, Institute of Electrical and Electronics Engineers Inc., pp. 237-243, 2016 International Conference on Information and Communication Technology and Systems, ICTS 2016, Surabaya, Indonesia, 12/10/16. https://doi.org/10.1109/ICTS.2016.7910305

Optimization Solar Farm site selection using Multi-Criteria Decision Making Fuzzy AHP and PROMETHEE: Case study in Bali. / Aldrin Wiguna, Kadek; Sarno, Riyanarto ; Ariyani, Nurul Fajrin.
Proceedings of 2016 International Conference on Information and Communication Technology and Systems, ICTS 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 237-243 7910305 (Proceedings of 2016 International Conference on Information and Communication Technology and Systems, ICTS 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - The process of Solar Farm site selection is a complex issue because it involves many criteria and many factors that are classified as problem Multi-Criteria Decision Making (MCDM). With computer technology, it is possible to analyze systematically the MCDM complex problems through computational intelligence techniques. Many methods have been developed to solve optimization problems of Solar Farm site selection such as Fuzzy AHP - PROMETHEE. However, these methods have not integrated directly into GIS software. In this research this methods will be integrated into GIS software especially ArcGIS as a toolbox. With this toolbox, determining the location of the solar farm will be more effective and easily. This research provide the methodology and decision support so that decision makers can more easily and quickly to determine the best location of solar farm.

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Aldrin Wiguna K, Sarno R , Ariyani NF. Optimization Solar Farm site selection using Multi-Criteria Decision Making Fuzzy AHP and PROMETHEE: Case study in Bali. In Proceedings of 2016 International Conference on Information and Communication Technology and Systems, ICTS 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 237-243. 7910305. (Proceedings of 2016 International Conference on Information and Communication Technology and Systems, ICTS 2016). doi: 10.1109/ICTS.2016.7910305

Optimization Solar Farm site selection using Multi-Criteria Decision Making Fuzzy AHP and PROMETHEE: Case study in Bali

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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