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"ABSTRAKPada kondisi saat ini, jika beban puncak dibandingkan dengan daya mampupembangkit pada sistem kelistrikan wilayah Sumatera dengan menerapkan kriteriacadangan 35%, maka diperkirakan terjadi kekurangan sekitar 2.000 MW. Sumbergas bumi di wilayah Jambi dapat dipertimbangkan karena tersedia cadangan gasdan dapat digunakan sebagai energi untuk memenuhi kebutuhan listrik. Gas tidakmudah untuk disimpan dibandingkan dengan Bahan Bakar Minyak (BBM) yangbanyak digunakan sebagai bahan bakar pemenuhan beban puncak saat ini.Compressed Natural Gas (CNG) dapat menjadi salah satu alternatif metodepenyimpanan gas. Kajian CNG Plant meliputi kajian keekonomian berupa NPV,IRR dan Payback Period serta analisis sensitivitas yang menggambarkansensitivitas proyek terhadap faktor-faktor yang berpengaruh. Analisis teknik dariCNG Plant juga dikaji untuk mendapatkan tekanan optimum pada CNG Plantserta analisis perbandingan keekonomian antara CNG dan BBM jenis HSD. Darihasil perhitungan keekonomian didapatkan harga jual gas dari CNG Plant sebesarUS$ 10,4/MMBTU dengan tekanan optimum CNG sebesar 3215 psia.Berdasarkan perhitungan didapatkan biaya pembangkit listrik tenaga gas dariCNG plant yaitu sebesar Rp. 1.735,34/kWh, sedangkan biaya pembangkit listriktenaga diesel sebesar Rp. 2.765,55/kWh sehingga ada penghematan sebesar Rp.1.030/kWh apabila digunakan gas CNG pada beban puncak. Potensi penghematandari sisi PLN apabila menggunakan gas CNG pada saat beban puncak adalahsebesar Rp. 530 Juta/hari

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ABSTRACTIn the current conditions, when compared the peak load with capable powergenerator in Sumatera area electricity system, when applying the 35% reservedcriteria, it is predicted that there is a shortage of around 2,000 MW. Sources ofnatural gas in Jambi region can be considered as available gas reserves and can beutilized as energy to meet the electricity needs. Gas is not easy to be storedcompared with fuel oil which is widely used as fuel for the fulfillment of the peakload now. Compressed Natural Gas (CNG) can be an alternative method of gasstorage. Study of CNG Plant was included the study of economics in the form ofNPV, IRR and Payback Period as well as a sensitivity analysis that illustrates thesensitivity of the project on the factors that influence. Technical Analysis of CNGalso examined to obtain optimum pressure on the CNG Plant as well as theeconomics of comparative analysis between CNG and fuel oil types HSD. Fromthe calculation results obtained economical gas price of CNG Plant amounted toUS $ 10.4/MMBTU with CNG optimum pressure of 3215 psia. Based on thecalculation, the cost of gas power plant of CNG plant is Rp. 1735.34/kWh, whilethe cost of diesel power plant is Rp. 2765.55/kWh so that there is a savings of Rp.1.030/kWh when used CNG gas at peak loads. Potential savings of PLN sidewhen using CNG gas during peak load is Rp. 530 Million/day"

"Kebutuhan masyarakat Indonesia saat ini akan energi sangat tinggi. Jumlah cadangan energi primer yang semakin menurun serta terbatasnya sumber daya terbarukan mengharuskan adanya solusi untuk masalah tersebut. Jam Bumi merupakan salah satu kegiatan penghematan energi yang bertujuan untuk menghemat sumber energi non-renewable seperti batubara dan minyak bumi. Salah satu bentuk energi yang mudah untuk diamati pengaruh dari Jam Bumi adalah energi listrik. Besar penghematan yang diperoleh dari Jam Bumi dapat dilihat dari besar penurunan nilai beban puncak, beban puncak siang, beban rata-rata tahunan dan beban rata-rata per jam dalam satu tahun.Pada skripsi ini, dilakukan analisis terhadap penurunan konsumsi energi listrik yang dihasilkan oleh Jam Bumi. Penurunan konsumsi energi listrik yang terjadi berkisar dari 500-2000 MW dari pelaksanaan tahun 2009-2014 dengan durasi waktu sekitar dua jam.

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Indonesian people's need for energy nowadays is very high. The decreasing number of primary energy back-up and limited renewable energy require a solution for these problems. Earth Hour is one way for energy saving which aims to save non-renewable energy sources, such as coal and oil. An energy form which is easy to be observed in Earth Hour is electric power. The amount of energy saved from Earth Hour can be seen from the decreasing rate of peak load, daylight peak load, annual average load, and average load per hour in one year.In this paper, an analysis of electric power decrease by Earth Hour is conducted. From Earth Hour events which were held for about two hours during 2009 ? 2014, the electric power consumption decrease was about 500?2000 MW."

"It has been studied the forecasting of electric power peak load in the Indonesian electric system byusing Artificial Neural Network (ANAU) Back Propagation method with the study period is 2000 - 2025.The long-range forecasting of electric peak load is influenced by economic factors. in this study, it?sselected the economic data which is estimated very influence to forecasting, which in this case becomeinput ofAN1\L i. e.: Gross of Domestic Product (GDP) per-capita, Population, Amount of Households,Electrification Ratio, Amount of CO, Pollution, Crude Oil Price, Coal Price, Usage of Final Energy,Usage Qf Final Energy on Industrial Sector; and Average Electric Charges. Data used for study areactual data, start year 1990 up to 2000. Result of the peak load forecasting in the end of study (2025) byusing ANN is 85,504 MHC meanwhile the load forecasting in the National Electricity General lan(NEGP) is 79,920 MW (the difference of both is about 6. 6%). Based on ANN approach is obtained resultsthat the peak load forecasting in Indonesia in the year 2005, 2010, 2015, 2020 and 2025 are 16,516 MHC24,402 MHC 36, 15 7 MIK 56,060 MW and85,584 MW respectively."

"A study has been done on the potential integration of Demand Side Management (DSM) to the reduction of electric power peak load forecasting in the Indonesian electric system by using the indonesia Energy Outlook by .System Dynamic (INOSYD) model and Artificial Neural Network (ANN) method, within the study period of 2005-202l. DSM is the process of managing the consumption of energy. generally to optimize availability and development plan of energy resources. DSM application in this research refers to actions taken on the customer 's side of the matter to change the amount or timing of energy consumption, therefore it influences the reduction of the long-range forecasting of electricity peak load In this paper, the lang-term load forecasting is studied by using INOSYD model, JS T method and Model for Analysis of Energy Demand (MAED) as comparison, where the calculation results of average annual load growth rate are around 4.60% (DVOSYD) ; 7.l6% (ISD and 6.87% (MAED) respectively. Afterwards, the influence of DSM by an effort to reduce energy consumption of residential sector by an amount of 5% and l0% respectively, with the respect to the lang-term load forecasting by using INOSYD model and ANN method is performed The study results show that DSM application at residential (household sector at an amount of 5% and l 0% by using lNOS}'D model will reduce the average long-term load forecasting by about 4.95% and 9.90% respectively, meanwhile ANN method will reduce the average long-term load forecasting by about 2.74 and 5.36% respectively."