Applications of fuzzy logic in renewable energy systems – A review

Suganthi, L.; Iniyan, S.; Samuel, Anand A.

doi:10.1016/j.rser.2015.04.037

Cited by 446 publications

(187 citation statements)

References 254 publications

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“…Salah satu pendekatan yang patut dipertimbangkan adalah dengan menggunakan pendekatan logika fuzzy [5]. Logika Fuzzy merupakan sebuah logika yang memiliki nilai kekaburan atau kesamaran (Fuzzyness) antara dua nilai [6]. Pendekatan fuzzy khususnya pendekatan triangular fuzzy number terhadap skala AHP diharapkan mampu untuk meminimalisasi ketidakpastian sehingga diharapkan hasil yang diperoleh lebih akurat ( [7].…”

Section: Pendahuluanunclassified

Pemilhan Pemasok Bahan Baku Kayu Handle Raket Dengan Menggunakan Metode Fuzzy Analitycal Hierarchy Process

Pangestu¹

2017

JTI

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PendahuluanDengan semakin berkembangnya dunia industri pada saat ini akan berakibat pada persaingan yang akan di hadapi juga semakin tinggi. Perusahaan-perusahaan berupaya untuk meningkatkan kinerjanya dalam rangka menghasilkan suatu output yang optimal, yang mampu memenuhi keinginan konsumen. Salah satu faktor yang mempengaruhi kinerja perusahaan adalah keberadaan pemasok yang berperan sebagai pemasok bahan baku. Keberadaan pemasok ini sangat menentukan kelancaran proses produksi yang dihasilkan.Setiap perusahaan, umumnya memiliki lebih dari satu pemasok untuk memasok material yang dibutuhkan. Hal ini berfungsi untuk meningkatkan kekuatan tawarmenawar yang dimiliki perusahaan dan juga untuk menjaga ketersediaan produk.

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Section: Pendahuluanunclassified

Pemilhan Pemasok Bahan Baku Kayu Handle Raket Dengan Menggunakan Metode Fuzzy Analitycal Hierarchy Process

Pangestu¹

2017

JTI

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“…Wanderer and Herle [23] used a web-based multi-criteria approach for solar plant location preferences. Similarly, a gray grade approach [22], an analytical hierarchy approach [24], and a fuzzy approach [25] are used in rural area energy planning. Sola and de Miranda Mota [26] presented the multi-criteria PROMETHEE and Geometrical Analysis for Interactive decision Aid (GAIA) approaches particularly for industrial energy management.…”

Section: Literature Reviewmentioning

confidence: 99%

An Approach to Evaluating Alternatives for Wind Power Plant Locations

Rehman¹

2016

SAJIE

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Multi-criteria decision approaches are preferred for achieving multidimensional sustainable renewable energy goals. A more critical issue faced by the wind power industry is the selection of a location to tap prospective energy, which needs to be evaluated on multiple measures. In this paper, the aim is to assess and rank alternative wind power plant locations in Saudi Arabia. The approach presented here takes multiple criteria into consideration, such as wind speed, wind availability, site advantages, terrain details, risk and uncertainty, technology used, third party support, projected demand, types of customers, and government policies. A comparative analysis of feasible alternatives that satisfy all multicriteria objectives is carried out. The results obtained are subjected to sensitivity analysis. Concepts such as 'threshold values' and 'attribute weights' make the approach more sensitive. OPSOMMINGMultikriteria besluitnemingsbenaderings word verkies om multidimensionele, volhoubare en hernubare energie doelstellings te bereik. ŉ Belangrike kwessie vir die windkragindustrie is die identifisering van ŉ geskikte ligging wat onderhewig is aan verskeie kriteria. Hierdie artikel assesseer en rangskik verskeie potensiële windkragopwekking liggings in Saoedi-Arabië. Die voorgestelde benadering neem meervoudige kriteria, onder andere wind spoed en wind beskikbaarheid, ligging voordele, terrein detail, risiko en onsekerheid, die tegnologie wat gebruik word, derdeparty ondersteuning, geprojekteerde vraag, die tipe kliënte en regeringsbeleide, in ag. ŉ Vergelykende analise van uitvoerbare alternatiewe wat aan al die kriteria doelstellings voldoen is uitgevoer. Die daaropvolgende resultate is dan aan ŉ sensitiwiteitsanalise onderwerp. Konsepte soos drempelwaardes en eienskapgewigte maak die benadering meer sensitief. INTRODUCTIONAccording to various published reports and expert opinions, it is evident that fossil fuels have an increasingly negative impact at a global level. Considering present global developments, sustainable renewable energy options play a vital role; and so choosing these options is being encouraged globally [1]. Common sources of renewable energy include solar energy, wind energy, and ocean energy. It is evident from the published literature that renewable energy is a focus of planning, implementation, and development activities in local and global energy programmes [2,3]. Decisionmaking in the renewable energy sector is very complex and difficult (see Figure 1), where multiple criteria and their respective objectives have to be considered in the decision analysis [4].Researchers and practitioners have adopted multi-criteria decision analysis in a number of industrial applications -for example the fuzzy approach in manufacturing technology investment decisions [5]; the fuzzy analytical hierarchy approach [6] for evaluating energy plans; and the analytical hierarchy approach [7] to justify non-financial decisions about manufacturing. Similarly, researchers

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“…Deterministic methods and probabilistic approaches have also been used to analyze the impact of the geographic site on the PV modules and the energy storage design [14]. Moreover, multi-objective optimization approach based on Fuzzy logic has also been used to ensure the best comprise between two conflicting objectives, such as the system reliability and cost optimizations, as treated in [15].…”

Section: Introductionmentioning

confidence: 99%