Analysis of wind energy potential and wind energy development to evaluate performance of wind turbine installation in Bali, Indonesia

Satwika, Nyoman Ade; Hantoro, Ridho; Septyaningrum, Erna; Mahmashani, Ahmad Wildan

doi:10.15282/jmes.13.1.2019.09.0379

Cited by 13 publications

(12 citation statements)

References 13 publications

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“…The proposed modified Rayleigh model to eliminate the estimated wind speed characteristic defects is shown in (7) and (8), wherein the study the K value is around 1.15.…”

Section: Modified Rayleigh Distributionmentioning

confidence: 99%

Wind speed modeling based on measurement data to predict future wind speed with modified Rayleigh model

Suwarno

Rohana

2021

IJPEDS

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The development of modeling wind speed plays a very important in helping to obtain the actual wind speed data for the benefit of the power plant planning in the future. The wind speed in this paper is obtained from a PCE-FWS 20 type measuring instrument with a duration of 30 minutes which is accumulated into monthly data for one year (2019). Despite the many wind speed modeling that has been done by researchers. Modeling wind speeds proposed in this study were obtained from the modified Rayleigh distribution. In this study, the Rayleigh scale factor (Cr) and modified Rayleigh scale factor (Cm) were calculated. The observed wind speed is compared with the predicted wind characteristics. The data fit test used correlation coefficient (R2), root means square error (RMSE), and mean absolute percentage error (MAPE). The results of the proposed modified Rayleigh model provide very good results for users.

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“…The proposed modified Rayleigh model to eliminate the estimated wind speed characteristic defects is shown in (7) and (8), wherein the study the K value is around 1.15.…”

Section: Modified Rayleigh Distributionmentioning

confidence: 99%

Wind speed modeling based on measurement data to predict future wind speed with modified Rayleigh model

Suwarno

Rohana

2021

IJPEDS

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“…Masalah serupa juga dihadapi sumber energi air dan angin. Ditambah lagi keadaan geografis Indonesia dimana angin lebih lemah dibandingkan di Eropa dan arah angin yang lebih sering berubah membuat teknologi kincir berukuran besar tidak cocok untuk digunakan di semua area di Indonesia (7) . Alternatif dari permasalahan-permasalahan tersebut, panel surya dapat dipasang di atap-atap gedung di area perkotaan sehingga tidak membutuhkan area khusus (8) , micro hydro yang memanfaatkan aliran sungai (9) , dan turbin angin skala kecil (7) .…”

Section: Latar Belakangunclassified

“…Perbedaan hasil pengukuran ini mungkin disebabkan karena perbedaan elevasi kedua stasiun meteorologi. Gesekan massa udara yang bergerak terhadap permukaan bumi memperlambat kecepatan angin, sehingga kecepatan angin akan meningkat seiring dengan ketinggian (7) . Karena itu untuk perkiraan energi output dari turbin angin akan digunakan kecepatan angin dari stasiun Tangerang Selatan.…”

Section: Aspek Iklim Dan Kondisi Geografisunclassified

Perbandingan Penggunaan Panel Surya dan Turbin Angin dalam Implementasi Energi Baru Terbarukan (EBT) di Lingkungan Universitas Pertamina

et al. 2021

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Health risk characteristics expressed as a Risk Quotient (RQ) can be carried out through an environmental health risk analysis (ARKL) approach. This approach can estimate the public health risk caused by the concentration of risk agents of particulates consisting of PM2.5, PM10, and TSP. The research on the fluctuation of ambient air particulate pollutant and its risk to public health was conducted in each sub-district of Bogor City. Author identified a total of 360 respondents to determine the community anthropometric variable of exposures for time, frequency, and duration. There are several steps that need to be carried out to obtain the RQ value, namely identification of hazards from particulate risk agents, analysis of the dose-response in the form of Reference Concentration (RFC), analysis of the exposure obtained based on anthropometric variables, and the concentration of risk agents as well as characteristics of risk levels. The risk level characteristic shows that the RQ value of TSP is always the highest one, followed by PM10 and PM2.5. The respective RQ values of TSP for male and female residents are 1.85 and 1.53. Cumulatively, the male and female population in Tanah Sareal produced the highest RQ values. Those are 4.44 and 3.36, respectively. At the same time, the lowest cumulative RQ was obtained for male and female residents in East Bogor with RQ values of 2.96 and 2.54. The RQ value of each risk agent or the cumulative RQ that is more than 1 (RQ> 1) is stated to have or has a health risk, so it needs to be controlled, while the RQ value which is less than one (1) is displayed not to need to be controlled but needs to be maintained. Keywords: particulate, risk level, exposure assessment, anthropometric characteristic, environmental health risk assessment ABSTRAK Karakteristik risiko kesehatan yang dinyatakan sebagai Risk Quotient (RQ) dapat dilakukan melalui pendekatan Analisis Risiko Kesehatan Lingkungan (ARKL). Pendekatan ini dapat mengestimasi risiko kesehatan masyarakat yang disebabkan oleh konsentrasi agen risiko yaitu PM2,5, PM10, dan TSP di tiap-tiap kecamatan di Kota Bogor. Penulis mengidentifikasi sebanyak 360 responden yang terdiri dari laki-laki dan perempuan untuk menentukan variabel antropometri masyarakat di Kota Bogor, waktu paparan, frekuensi paparan, serta durasi paparan. Ada beberapa tahapan yang perlu dilakukan untuk memperoleh nilai RQ, yaitu identifikasi bahaya dari agen risiko partikulat, analisis dosis-respon berupa Reference Concentration (RfC), analisis pajanan yang diperoleh berdasarkan variabel antropometri dan konsentrasi agen risiko serta karakteristik tingkat risiko. Karakteristik tingkat risiko menunjukkan nilai RQ TSP selalu paling tinggi diikuti PM10, dan terendah adalah RQ PM2,5 dengan nilai tertinggi TSP untuk penduduk laki-laki dan perempuan masing-masing sebesar 1,85 dan 1,53. Secara kumulatif, penduduk laki-laki dan perempuan di Tanah Sareal menghasilkan nilai RQ tertinggi masing-masing sebesar 4,44 dan 3,36. Sedangkan RQ kumulatif terendah diperoleh untuk penduduk laki-laki dan perempuan di Bogor Timur dengan nilai RQ 2,96 dan 2,54. Nilai RQ tiap agen risiko ataupun RQ kumulatif yang lebih dari 1 (RQ>1) dinyatakan memiliki atau terdapat risiko kesehatan sehingga perlu dikendalikan, sementara nilai RQ yang masing kurang dari satu dinyatakan tidak perlu dikendalikan tetapi perlu dipertahankan. Kata kunci: partikulat, tingkat risiko, analisis pajanan, karakteristik antropometri, analisis risiko kesehatan lingkungan

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“…On the other hand, Indonesia is a country with high wind energy potential, especially in the southeastern territory, which devotes an average windspeed of 7.5-8 m/s and a maximum of 12 m/s to wind farms (Satwika et al, 2019;Hesty et al, 2021). The use of wind energy in Indonesia is arguably still lacking the technology to achieve what is desired, but in reality, only a handful of people have used wind energy.…”

Section: Introductionmentioning

confidence: 99%

Composite Multiaxial Mechanics: Laminate Design Optimization of Taper-Less Wind Turbine Blades with Ramie Fiber-Reinforced Polylactic Acid

Lololau¹,

Soemardi²,

Purnama³

et al. 2021

IJTech

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As the research on composite materials based on natural resources proliferates further, ramie fiber and polylactic acid (PLA), whch are fully biodegradable composite materials, are expected to be used for mechanical application due to their excellent strength and degradability. Various natural fibers have been applied to a wind turbine blade composite structure, as reinforcement material. However, none of them are fully biodegradable, as the matrix still uses synthetic resins. Hence, this study aims to theoretically optimize the fully biodegradable ramie/PLA laminate design using its lamina orientation on a taper-less blade shell of a wind turbine, as the operating structure experienced multiaxial loading through bending and torsional moment derived by the wind. The selection of taper-less blades was made due to their congruence with the wind speed categorization in southeastern Indonesian territory. The optimization was carried out using the nonlinear Generalized Reduced Gradient (GRG) method on Microsoft Excel. The optimized laminate result is in a stacking sequence of [-4°, 24°, 47°, 65°, 74°, 79°]S that delivers the factor of safety, which is the ratio between the allowable stress and the actual stress, of 7.296 and 18.057 on the longitudinal axis and the laminate shear-plane, respectively, This renders the composite laminate highly safe, both theoretically and numerically.

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Analysis of wind energy potential and wind energy development to evaluate performance of wind turbine installation in Bali, Indonesia

Cited by 13 publications

References 13 publications

Wind speed modeling based on measurement data to predict future wind speed with modified Rayleigh model

Wind speed modeling based on measurement data to predict future wind speed with modified Rayleigh model

Perbandingan Penggunaan Panel Surya dan Turbin Angin dalam Implementasi Energi Baru Terbarukan (EBT) di Lingkungan Universitas Pertamina

Composite Multiaxial Mechanics: Laminate Design Optimization of Taper-Less Wind Turbine Blades with Ramie Fiber-Reinforced Polylactic Acid

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