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"The rapid growth of wind power and the implications of this on future power system planning, operation and control has become an even greater challenge in today?s liberalised electricity market conditions. This essential new book examines the main problems of wind power integration and guides the reader through a number of the most recent solutions based on current research and operational experience of wind power integration."

"Meningkatnya kebutuhan akan energi terbarukan di mana salah satunya adalah tenaga angin, menimbulkan masalah baru, yaitu terjadinya fluktuasi dalam produksi energi angin tersebut. Untuk mengembangkan potensi energi angin, persiapan untuk pembangkitan ke jaringan memerlukan model prediksi potensi daya angin pada PLTBayu yang akan dihasilkan dari ladang angin. Dalam kondisi seperti ini, dibutuhkan model prediksi yang dapat memprediksi pola intermittent pada hasil prediksi daya angin yang dihasilkan. Metode prediksi daya angin yang akan dikembangkan dalam penelitian ini menggunakan metode statistik, metode-metode mesin pembelajaran dan proses pembelajaran lebih lanjut (deep learning). Di dalam penelitian ini dikembangkan model prediksi output daya angin menggunakan metode Triple Exponential Smoothing (TES) dengan mengadaptasi parameter α, β dan γ. Parameter-parameter ini dapat beradaptasi terhadap pola intermittent yang terbaca dengan variasi berbeda untuk setiap set data deret waktu pada tiga lokasi pengamatan. Dalam model prediksi daya angin di PLTBayu ini, metode Adaptive Parameters Triple Exponential Smoothing (APTES) digunakan untuk memproses penghalusan data deret waktu kecepaan angin historis, sementara Multiplicative Long Short Term Memory (MLSTM) digunakan untuk menentukan nilai prediksi tenaga angin dengan mengikuti pola intermittent yang terjadi pada area pengamatan. Setelah dilakukan pengujian dan analisa, model prediksi APTES-MLSTM mampu membaca sangat baik pola intermittent dengan pola yang berubah-ubah dan memiliki banyak variasi. Dengan pola intermittent yang sering terjadi, model ini mampu memprediksi dalam waktu jangka pendek dengan beberapa step ke depan. Hasil analisa menunjukkan MAPE untuk dua lokasi luaran daya angin: Pandansimo dan Ciemas, masing-masing dengan rata-rata sebesar 12,93% dan 7,70%. Dari hasil pengujian model di lahan Harjobinangun tanpa melakukan training pada MLSTM menunjukkan pada tahun 2011 nilai MSE sebesar 0,11453, pada tahun 2012 nilai MSE sebesar 0,10509 dan pada tahun 2013 nilai MSE sebesar 0,0449. Akurasi prediksi yang dihasilkan dengan model ini cenderung memiliki MSE semakin mengecil di setiap term dibandingkan dengan model dengan kombinasi metode-metode konvensional seperti Kalman Filter, Wavelet Decomposition, Bayesian Hierarchy, dikombinasikan dengan pembelajaran Support Vector Machine dan Neural Network.

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The increasing need for renewable energy where one of them is wind power, raises a new problem, namely the occurrence of fluctuations in the production of wind energy. To develop wind energy potential, preparation for generation to the network requires a prediction model of wind power potential on PLTBayu that will be produced from wind farms. Under these conditions, a predictive model is needed that can predict intermittent patterns on the results of the predicted wind power generated. The wind power prediction method that will be developed in this study uses statistical methods, machine learning methods and the process of further learning (deep learning). In this study a wind power output prediction model was developed using the Triple Exponential Smoothing (TES) method by adapting the parameters α, β and γ. These parameters can adapt to intermittent patterns that are read with different variations for each time series data set at the three observation locations. In this wind power prediction model in PLTBayu, the Adaptive Parameters Triple Exponential Smoothing (APTES) method is used to process refinement of historical wind speed data series, while Multiplicative Long Short Term Memory (MLSTM) is used to determine the predicted value of wind power by following intermittent patterns that follow occur in the observation area. After testing and analysis, the APTES-MLSTM prediction model is able to read very well intermittent patterns with changing patterns and has many variations. With intermittent patterns that often occur, this model is able to predict in the short term with several steps ahead (With the intermittent patterns that often occur, this model is able to predict in the short term with several steps ahead). The results of the analysis show MAPE for two locations of wind power output: Pandansimo and Ciemas, respectively with an average of 12.93% and 7.70%. From the results of testing the model in the Harjobinangun field without doing training in MLSTM shows that in 2011 the MSE value was 0.11453, in 2012 the MSE value was 0.10509 and in 2013 the MSE value was 0.0449. The accuracy of the predictions produced by this model tends to have MSE getting smaller in each term compared to the model with a combination of conventional methods such as Kalman Filter, Wavelet Decomposition, Bayesian Hierarchy, combined with learning Support Vector Machine and Neural Network."

"Offshore wind energy cost modeling provides a methodological framework to assess installation and decommissioning costs, and using examples from the European experience, provides a broad review of existing processes and systems used in the offshore wind industry. This book a step-by-step guide to modeling costs over four sections. These sections cover, background and introductory material, installation processes and vessel requirements, installation cost estimation, and decommissioning methods and cost estimation. This self-contained and detailed treatment of the key principles in offshore wind development is supported throughout by visual aids and data tables. Offshore wind wnergy cost modeling is a key resource for anyone interested in the offshore wind industry, particularly those interested in the technical and economic aspects of installation and decommissioning. The book provides a reliable point of reference for industry practitioners and policy makers developing generalizable installation or decommissioning cost estimates."

"Berdasarkan laporan Badan Pusat Statistik (BPS), Indonesia terdiri dari puluhan ribu pulau yang tersebar di 34 provinsi, dan total jumlah penduduk di negara tersebut mencapai 278 juta jiwa. Populasi yang terus bertambah dan kemajuan teknologi mendorong tuntutan akan pemerataan akses terhadap listrik. Pemerintah masih berupaya menyediakan listrik yang merata bagi seluruh wilayah penduduk selama satu dekade terakhir, dan rasio elektrifikasi nasional saat ini mencapai 99,2%. Di sisi lain, pemanfaatan energi terbarukan masih belum optimal karena berpotensi meningkatkan angka rasio elektrifikasi nasional. Energi terbarukan juga merupakan salah satu solusi utama untuk memenuhi permintaan sekaligus memenuhi Target Nol Emisi Bersih Indonesia pada tahun 2060. Skripsi ini menggunakan HOMER Pro untuk menilai usulan solusi kinerja keuangan dan kelistrikan di salah satu wilayah 3T di Indonesia. Analisis tekno-ekonomi akan dilakukan untuk mengevaluasi sistem tenaga energi terbarukan berbasis angin. Dalam analisis ini, perbandingan utama dibuat mengenai keseluruhan biaya, ketergantungan, kelayakan, dan efektivitas. Berdasarkan hasil simulasi, konfigurasi hybrid terbukti menjadi solusi paling efektif dengan menghasilkan biaya produksi energi yang lebih rendah.

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Based on the Central Statistics Agency (BPS) report, Indonesia consists of tens of thousands of islands spread across 34 provinces, and the total number of citizens in the country has reached up to 278 million people. This ever-growing population and the advancement of technology push the demand for equal access to electricity. The government is still trying to provide equal electricity to all populated areas over the last decade, and the national electrification ratio is currently summed up to 99.2%. On the other hand, the utilization of renewable energy is still not yet optimal knowing it has the potential to increase the number of national electrification ratios. Renewable energy is also one of the primary solutions to keep up with the demand while following Indonesia's Net Zero Emission Target by 2060. This thesis utilizes HOMER Pro to assess the proposed financial and electrical performance solutions in one of Indonesia's 3T areas. The techno-economic analysis will be carried out to evaluate the wind-based renewable energy power system. In this analysis, the primary comparisons are made regarding overall cost, dependability, feasibility, and effectiveness. According to the simulation results, hybrid configuration proved to be the most effective solution by resulting in a lower Cost of Energy."

"Promoting the development of renewable energy is one of the important strategies for China to achieve energy conservation, emission reduction and energy transition. Although China has successfully developed a large-scale wind power industry, the serious problem of wind energy curtailment has led to the conflicts between decentralization and centralization. Based on this issue, the research questions of this paper are: Under China’s authoritarian regime, why does the Chinese government’s wind power governance mechanism cause the problem of wind energy curtailment to rise and fall periodically? Why does the governance mechanism show an unstable phenomenon of alternating between decentralization and centralization? Based on the authors’ interviews (including face to face interviews and remote interviews) targeting at seven provinces (cities/autonomous areas) in China from July 2014 to June 2022, this research proposes an analytical framework to explain the central and local government’s response strategies and governance cycles, and explores the background behind the local government’s response strategies- the “local routines”action mode. This research finds that when Chinese wind power governance mechanism faces the problem of wind energy curtailment, even if the central government proposes policy indicators and documents, the ultimate goal of local governments’ “local routines” is to maximize their own interests, instead of solving problems effectively. Under the situation that the central and local governments continue to make moves with each other, the problem of wind power curtailment has been characterized by huge fluctuations for a long time, which impacts the effect of energy conservation and emission reduction. This study contributes to a renewed understanding of central-local relations and environmental politics in Chinese authoritarian regimes, as well as to explain the puzzling alternating trajectories in the field of governance."

"Salah satu upaya untuk mengatasi krisis energi adalah mengurangi ketergantungan terhadap sumber energi fosil dengan cara memanfaatkan sumber energi alternatif. Salah satu energi alternatif yang dapat digunakan adalah energi angin. Energi angin dapat dimanfaatkan pada pembangkit listrik tenaga angin. Pembangkit listrik tenaga angin merupakan suatu metode untuk membangkitkan energi listrik dengan cara memutar turbin angin yang dihubungkan ke generator, kemudian energi listrik yang dihasilkan oleh generator disimpan dalam elemen penyimpan energi listrik (baterai). Energi listrik yang tersimpan dalam elemen penyimpan akan dibebankan kepada beban beban rumah tangga yang berdaya rendah sehingga dengan pembangkit ini akan terlihat penggunaan sistem pembangkit listrik tenaga angin ini dengan turbin angin berporos vertikal tipe savonius.

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One effort to overcome the energy crisis is to reduce dependence on fossil energy sources by utilizing alternative energy sources. One of the alternative energy that can be used is wind energy. Wind energy can be utilized in wind power. Wind power is a method for generating electrical energy by rotating wind turbines connected to generators, and electrical energy generated by the generator is stored in the elements of electrical energy storage (batteries). Electrical energy stored in the storage element will be charged to expense burden of households with low power so that this generation will be seen savings on residential electricity costs. "

"Penggunaan energi alternatif sebagai catu daya Base Transceiver Station (BTS) 3G dapat mengatasi permasalahan pasokan listrik PLN yang belum mencapai seluruh wilayah Indonesia. Penggunaan modul sel surya menjadi salah satu solusi yang dapat dipertimbangkan sebagai catu daya BTS, sedangkan energi angin dapat digunakan ketika irradiansi matahari tidak dapat memenuhi kebutuhan beban. Nilai tegangan keluaran sel surya dan turbin angin yang tergantung keadaan lingkungan di sekitar pembangkit menyebabkan perlunya rangkaian untuk menjaga agar nilai masukan ke beban selalu konstan. Skripsi ini menggunakan rangkaian switching regulator dengan IC L4970 yang mempunyai nilai tegangan keluaran 15 volt. Pemilihan antara kedua energi alternatif ini menggunakan mikrokontroller ATMEGA16 dan dua buah relai. Simulasi sistem hybrid catu daya ini dapat menjamin suplai catu daya BTS selalu tersedia dengan nilai tegangan masukan yang konstan dengan lama waktu switching 2 ms.

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Using of alternative energy source such as solar cell and wind power could over come problem about power supply from PLN for Base Tranceiver Station (BTS). Solar energy can be extracted from solar cell power generator for one of main alternative source in BTS. When the power of sunlight is not adequate to be converted into solar cell power, the wind power generator could become a secondary alternative source. The output of solar cell and wind turbine depend greatly on surrounding environment. This condition requires a certain circuits on the power generator to maintain a constant number on the load input.

The circuits used in this project are switching regulator with IC L4970 with an output of 15 volt. The decision of choosing between two alternative energies are excecuted by ATMEGA16 microcontroller with two relays. This hybrid power system guarantees suplai catu daya is available with constant input number."

"Wind power plants teaches the physical foundations of usage of wind power. It includes the areas like construction of wind power plants, design, development of production series, control, and discusses the dynamic forces acting on the systems as well as the power conversion and its connection to the distribution system."

"This volume gathers the latest advances, innovations, and applications in the field of wind engineering, as presented by leading international researchers and engineers at the XV Conference of the Italian Association for Wind Engineering (IN-VENTO 2018), held in Naples, Italy on September 9-12, 2018. It covers highly diverse topics, including aeroelasticity, bluff-body aerodynamics, boundary layer wind tunnel testing, computational wind engineering, structural dynamics and reliability, wind-structure interaction, flow-induced vibrations, wind modeling and forecast, wind disaster mitigation, and wind climate assessment. The contributions, which were selected by means of a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different specialists."