Estimation Wind Energy Potential Using Artificial Neural Network Model in West Lampung Area

Putro, Wahyu Sasongko; Prahmana, Rico Aditia; Yudistira, Hadi Teguh; Darmawan, Mahardika Yoga; Triyono, D.; Birastri, Wirid

doi:10.1088/1755-1315/258/1/012006

Cited by 3 publications

(4 citation statements)

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“…No other academic study on the national or provincial potential of wind power was found to validate these numbers. Instead, both international [75][76][77] and Indonesian [78][79][80] research tends to focus more on local case studies. Even if Gernaat et al's [74] potential would be technically possible, the practical hurdles are very high given that 11% of Indonesia's available sea area would be needed for such a capacity.…”

Section: Wind Powermentioning

confidence: 99%

“…Regarding wind power, both ESDM and academia agree that thorough field data is needed for more refined potentials, although the costs of acquisition are a hurdle [5,114,118,119]. This might explain why current research focuses more on local case studies since these cases can be studied more cost-effectively via simulations [76,79] or local on-site measurements [78,80]. These complications also apply to ocean energy research, as there are only a few data observation stations [101] and research is currently predominantly performed locally.…”

Section: Knowledge Gapsmentioning

confidence: 99%

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Review of Renewable Energy Potentials in Indonesia and Their Contribution to a 100% Renewable Electricity System

2021

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Indonesia has an increasing electricity demand that is mostly met with fossil fuels. Although Indonesia plans to ramp up Renewable Energy Technologies (RET), implementation has been slow. This is unfortunate, as the RET potential in Indonesia might be higher than currently assumed given the archipelago’s size. However, there is no literature overview of RET potentials in Indonesia and to what extent they can meet current and future electricity demand coverage. This paper reviews contemporary literature on the potential of nine RET in Indonesia and analyses their impact in terms of area and demand coverage. The study concludes that Indonesia hosts massive amounts of renewable energy resources on both land and sea. The potentials in the academic and industrial literature tend to be considerably larger than the ones from the Indonesian Energy Ministry on which current energy policies are based. Moreover, these potentials could enable a 100% renewables electricity system and meet future demand with limited impact on land availability. Nonetheless, the review showed that the research topic is still under-researched with three detected knowledge gaps, namely the lack of (i) economic RET potentials, (ii) research on the integrated spatial potential mapping of several RET and (iii) empirical data on natural resources. Lastly, this study provides research and policy recommendations to promote RET in Indonesia.

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Section: Wind Powermentioning

confidence: 99%

Section: Knowledge Gapsmentioning

confidence: 99%

Review of Renewable Energy Potentials in Indonesia and Their Contribution to a 100% Renewable Electricity System

2021

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“…The western and southern waters of Lampung are two potential offshore wind energy areas in Indonesia with an average wind speed range of 5-7 m/s [8]. Western Lampung has an average wind speed of about 6 m/s which was obtained from the MTSAT and Lognormal Distribution model [25]. With the knowledge of the wind characteristics and potential, it can provide good information for the development of offshore wind energy.…”

Section: Introductionmentioning

confidence: 99%

Pesisir Barat Lampung Offshore Wind Characteristic in Local Renewable Energy Development Studies

Hermanto,

Nandalianadhira,

Kencana

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Renewable energy is one of the most researched topics. One renewable energy source is wind energy. As with some other energy sources, there are 2 locations for wind energy conversion, onshore and offshore. Using offshore wind energy requires more accurate wind data due to the higher risk. The characteristics of the wind at sea are one of these data. This study used data sets from ECMWF and BMKG from 2001 to 2020 (20 years). This research aims to examine the wind characteristics in the offshore of Pesisir Barat Lampung. The wind characteristics being examined are wind speed, wind direction, wind blowing duration, and wind speed distribution. The maximum hourly mean wind speed in these waters is 16.35 m/s. The dominant wind direction is blowing from the South East (SE). The maximum average wind-blowing duration to SE direction is 11 hours based on ECMWF and 14 hours based on BMKG. Based on the Chi-Square and Kolmogorov-Smirnov distribution fitting methods, the wind speed distribution in these waters is best fitted by the Weibull distribution for the ECMWF and the Lognormal distribution for BMKG. Using these two data sources, on average, ECMWF provides wind speeds 5% to 20% higher than BMKG. In analyzing wind potential, BMKG data will certainly provide more critical results than ECMWF data. In the analysis of offshore support structures, ECMWF data will certainly produce more critical structures. While the calculation of potential is better using BMKG data. Wind power potential in Pesisir Barat offshore is in the range of 44.6 to 82.9 W/m2.

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“…Several methods are used to analyze wind energy potential, including observationbased analysis [4], satellite remote sensing analysis [5][6][7], model-based analysis [8,9], and reanalysis data-based analysis [10,11]. Recently, the study of wind energy potential with artificial neural network-based models has received attention [12].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Wind Energy Potential in Sri Lankan Waters Based on ERA5 (ECMWF Reanalysis v5) and CCMP (Cross-Calibrated Multi-Platform)

Yao,

Miao,

Kumara

et al. 2024

JMSE

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Amid global energy demands and environmental concerns, the exploration of renewable energy sources has become critically important. This study presents a comprehensive analysis of wind energy dynamics over a 35-year period (1988–2022) using CCMP and ERA5 datasets. It focuses on the spatial and temporal characteristics of wind energy within the region, particularly its distribution. The wind field in Sri Lanka has significant seasonal and regional characteristics. Despite seasonal variations, the overall wind activity remains moderate, with speeds generally above 5.4 m/s and annual average wind power densities exceeding 150 W/m2, reaching up to 200 W/m2 in certain areas. The two primary wind directions in the waters near Sri Lanka are WSW and NE. The study identifies periods of high stability, particularly from June to August, where effective wind speed occurrence (EWSO) exceeds 80%. A ‘W’-shaped pattern in monthly variations corresponds with changes in wind power density (WPD), highlighting optimal periods for wind energy extraction. Additionally, estimated reserves and technically exploitable wind energy resources (WERs) suggest that wind energy development off Sri Lanka is feasible, with potential capacities of approximately 2.00 GW and 1.60 GW, respectively. The overall coefficient of variation (CV) is small, indicating stable wind energy conditions. This analysis not only provides a scientific basis for evaluating WERs near Sri Lanka but also offers valuable insights for strategic planning and development in the renewable energy sector.

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Estimation Wind Energy Potential Using Artificial Neural Network Model in West Lampung Area

Cited by 3 publications

References 4 publications

Review of Renewable Energy Potentials in Indonesia and Their Contribution to a 100% Renewable Electricity System

Review of Renewable Energy Potentials in Indonesia and Their Contribution to a 100% Renewable Electricity System

Pesisir Barat Lampung Offshore Wind Characteristic in Local Renewable Energy Development Studies

Analysis of Wind Energy Potential in Sri Lankan Waters Based on ERA5 (ECMWF Reanalysis v5) and CCMP (Cross-Calibrated Multi-Platform)

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