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"Photovoltaic generation is one of the cleanest forms of energy conversion available. One of the advantages offered by solar energy is its potential to provide sustainable electricity in areas not served by the conventional power grid. Optimisation of photovoltaic power systems details explicit modelling, control and optimisation of the most popular stand-alone applications such as pumping, power supply, and desalination. Each section is concluded by an example using the MATLAB® and Simulink® packages to help the reader understand and evaluate the performance of different photovoltaic systems."

"As a tropical country, Indonesia has great solar energy potential, with an average solar radiation intensity of 4.8 kWh/m2/d. Consequently, the optimization of solar power plants in Indonesia is necessary. The objective of this paper is to investigate solar panel optimization in Indonesia using system advisor model (SAM) software. Optimization focuses on two main concerns, choice of photovoltaic (PV) type and optimum PV tilt angle. Research is conducted in three different cities in Indonesia. The annual energy production simulation is conducted on 5 kWDC PV on-grid systems with different PV types and slope angles. According to simulation results, Indonesia has a relatively low proper PV tilt angle, with a value of 11o, 11o and 6o for Jakarta, Makassar and Jayapura, respectively. It can also be derived that when compared to crystalline PV modules, thin film PV modules have better performance, with the highest annual energy production due to its temperature coefficient characteristics."

"Dengan adanya perangkat lunak simulasi, maka dapat membuat suatu model sistem sel surya atau disebut dengan photovolotaic simulator agar dapat mempelajari kinerja pengisian baterai, tanpa harus selalu memasangkan baterai dengan sel surya. Saat ini sudah banyak PV simulator dengan berbagai varisi metode dan perumusan. Perangkat lunak semacam ini sangat membantu sekali khususnya pada industri-industri automasi maupun laboratorium karena sifatnya yang mempermudah dalam melakukan perancangan maupun analisa suatu masalah. Penelitian mengenai photovoltaic simulator dengan menggunakan dua komponen perangkat lunak (software). Komponen software pertama menggunakan National Instruments (NI) LABVIEW untuk membuat Model Sel Surya, sementara komponen software kedua menggunakan NI Multisim untuk membuat model Semi Konverter Satu Fasa. Pertama-tama, model matematis dari photovoltaic (sel surya) akan dijelaskan terlebih dahulu. Kemudian, setelah didapat model matematis dari sel surya, Photovoltaic Simulator akan direalisasikan ke dalam LABVIEW selanjutnya membuat rangkaian Semi Konverter Satu Fasa menggunakan Multisim. Photovoltaic Simulator akan mengendalikan konverter menggunakan pengendali IP dengan referensi terhadap model photovoltaic. Sinyal kendali dari pengendali IP dipakai untuk menghasilkan sinyal PWM yang mengatur sudut penyalaan konverter. Masukan berupa irradiansi dan suhu diberikan ke Photovoltaic Simulator, kemudian arus dan tegangan dari konverter akan di umpan balik ke Photovoltaic Simulator. Kesimpulan dari penelitian ini adalah arus dan tegangan konverter mengalami kenaikan saat irradiansi dan suhu meningkat.

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With the simulation software, it is possible to create a model of a solar cell system or called a photovolotaic simulator in order to study battery charging performance, without having to always install a battery with solar cells. Currently, there are many PV simulators with various methods and formulations. This kind of software is very helpful, especially in automated and laboratory industries because of its nature which makes it easier to design and analyze a problem. Research on photovoltaic simulators using two software components. First, software components use National Instruments (NI) LABVIEW to create the Solar Cell Model, while the second software is NI Multisim to create semi converter single phase circuit model. First, the mathematical model of the solar cell will be explained. Then, this mathematical model realized using LABVIEW. Second, creating semi converter single phase circuit model using Multisim. The Photovoltaic Simulator will control the converter using IP controller in the reference of the photovoltaic model. Control signals from IP controller are used to generate PWM signal, which control the triggering angle of the converter. Irradiance and temperature inputs are given to the Photovoltaic Simulator, then the current and voltage outputs from converter will be used as feedbacks to the Photovoltaic Simulator. The result from this research the Voltage and current increase when the Irradiance and temperature inputs increase."

"Kebutuhan energi nasional Indonesia semakin meningkat setiap harinya. Seiring potensi yang belum dioptimalkan, energi terbarukan mulai dijadikan solusi, salah satunya energi surya. Sayangnya, panel surya dinilai masih memiliki efisiensi yang terbilang rendah dan sistem yang membutuhkan sumber penyokong atau media penyimpanan seperti baterai. Untuk meningkatkan performa dan mengamankan sistem yang rumit tersebut, juga dibutuhkan algoritma yang dapat mengatur saklar penghubung sistem secara optimal. Dalam desain yang diberikan, performa dan efisiensi sistem panel surya dapat ditingkatkan dengan pengendali surya MPPT. Pengendali tersebut menentukan tegangan referensi panel surya sehingga dapat memberikan keluaran daya maksimum sesuai dengan spesifikasinya. Sistem pengendali MPPT tersebut dioptimasi lagi dengan algoritma PI yang dapat mempercepat waktu tunak sistem. Baterai disusun paralel dengan beban dan dimodelkan sebagai media penyimpanan daya arus searah sekaligus suplai daya untuk beban saat panel surya tidak bekerja. Model kompleks tersebut dilengkapi sistem saklar otomatis dengan algoritma yang dirancang oleh penulis berdasarkan parameter sistem untuk mengamankan dan mengoptimasi kerja sistem. Pada pengujian, PI MPPT panel surya-baterai mengahasilkan keluaran yang sesuai keadaan nyata dengan waktu tunak yang kurang dari 1 detik. Sistem lalu disimulasikan pada dua kondisi acak berbeda, yaitu kondisi A dengan parameter acak yang ditentukan oleh penulis; dan B yaitu kondisi acak dengan basis nilai keadaan nyata sesuai data yang dikutip penulis. Sistem memberikan hasil yang dinilai optimal pada seluruh kondisi dengan algoritma saklar otomatis yang berfungsi menjaga sistem. Pada akhirnya, sistem yang diberikan penulis dapat menjadi acuan awal yang dikembangkan ataupun diaplikasikan pada sistem dengan skala yang lebih besar.

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Indonesia electrical power demand is increasing day by day. Getting along with an unimproved potential source, renewable energy is starting to become a solution in need, such as solar energy. However, solar panel is still considered as an alternative with lower efficiency rate and a complex system that needs a backup source and direct current storage which is battery. In order to raise the performa as well as to secure the system with that kind of complexity, an algorithm to manage a joint switch between each system optimally is very much needed. In the design presented, the performance and efficiency given by solar panel system can be elevated by a MPPT Solar Charge Comtroller. The controller will determine the voltage reference maximizing the power output given by the solar panel. MPPT will then be optimized by a PI controller to reduce the settling time of the system. Battery is arranged paralelly with the load and is modelled as a DC power storage and as well as a power source for supplying the lload were the solar panel is not working. This block is equipped with an automatic switching system based on an algorithm created by writer considering all the parameters contained to optimize and secure the work of the system.When its in testing process, PI MPPT solar panel battery deliver a result suitable to a real condition with a below 1 second settling time. After that, the system is tested upon two random conditions, which are A with a random parameter stated by writer and B with a parameter based on a literature cited by writer. Eventually, the system is giving an appropriate result in all conditions with the switching algorithm is working properly. This result proves that the system and algorithm given by writer is eligible to be applied and develop further."

"ABSTRAKInovasi terbaru untuk mengurangi emisi kapal laut adalah dengan menggunakan Shore to Ship Power Supply. Shore power supply akan memberikan semua energi listrik yang dibutuhkan kapal saat berlabuh. Membuat pelabuhan lebih nyaman dan bebas emisi yang dikeluarkan oleh kapal. Ada kaitan erat antara perkembangan peralatan listrik dengan industri HVAC dan perlu sinergis satu sama lain. Dimana peralatan listrik harus membutuhkan kondisi udara yang ideal agar dapat bekerja maksimal terus menerus, dan HVAC menggunakan listrik sebagai sumber energi. Dengan memaksimalkan desain yang sesuai kita dapat membuat suatu sistem yang hemat energi dan ramah lingkungan. Akan dibahas berbagai sistem distribusi cooling yang memungkinkan terhadap shore power supply, pembahasan metode distribusi juga dilengkapi hasil simulasi Flovent, dan akan dilakukan penilaian mana distribusi yang paling efisien untuk shore power supply.

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ABSTRACTThe latest innovation to reduce ship emissions is to use Shore to Ship Power Supply. Shore power supply will provide all required electrical energy when the ship docked. Make the port more comfortable and freely emitted by ships. There is a strong connection between the development of electrical equipment and the HVAC industry, so they need to be synergistic with each other. Electrical equipment should require ideal conditions of the air in order to work optimally and continuously, and HVAC use electricity as an energy source. By maximizing the appropriate design we can create a system that is energy efficient and environmental friendly. We will discuss various cooling distribution system that allows the shore power supply to run optimally. With simulation results of Flovent, and assessment will be carried out to create the most efficient cooling distribution of shore power supply."