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"If there are two phrases we have come to know very well, they are 'environmental awareness' and 'credit crunch'. The world is looking for ways to decrease the emission of CO2 into the atmosphere, without incurring major costs in doing so. By increasing efficiencies up to about 90 per cent using well-established and mature technologies, cogeneration represents the best option for short-term reductions in CO2 emission levels.The ability to maximise revenue streams by taking advantage of price fluctuations in the cost of energy supply, and ensuring the ability to supply power regardless of what is happening on the grid, are powerful incentives to use cogeneration. The collapses of the grid networks in North America and Italy in 2003 were a stark reminder of what can happen if there is over-reliance on the grid network.Cogeneration makes sense economically, environmentally and operationally."

"ABSTRAKProses yang terjadi dalam suatu siklus industri seringkali sangat tidak efisien dalam pemanfaatan kebutuhan energinya. Sebagian besar dari energi yang dipergunakan terbuang percuma ke alam bebas berupa panas. Penghematan penggunaan energi tersebut dapat dicapai melalui kogenerasi. namun kogenerasi tidaklah sederhana, diperlukan modal yang cukup besar untuk pembangunannya (capital intensive) serta harus dilakukan perhitungan tekno-ekonomi secara cermat. Oleh karena itu pada tesis ini akan dibandingkan antara pengoperasian kogenerasi di industri (untuk memenuhi kebutuhan listrik dalam proses produksi) dengan pembelian energi listrik langsung dari PT PLN (Persero). "

"Industri gula di Indonesia berpotensi untuk menghasilkan surplus listrik yang bisa dijual kejaringan PLN. Kondisi yang ada saat ini hampir semua industri gula di Indonesia belum bisa menghasilkan surplus listrik bahkan sebagian besar tidak bisa memenuhi kebutuhan listriknya sendiri. Penelitian ini bertujuan untuk menganalisis inefisiensi yang terjadi di pabrik gula dan melakukan usulan modifikasi konfigurasi sistem kogenerasi yang efisien sehingga bisa menghasilkan surplus listrik. Analisis eksergi dilakukan pada peralatan proses utama pengkonsumsi uap seperti: gilingan, pemurnian nira, evaporator, dan vacuum pan. Hasil perhitungan “proposed plant” dibandingkan dengan kinerja pabrik gula saat ini. Ada tiga skenario yang diusulkan untuk perbaikan efisiensi energi sistem, diperoleh efisiensi energi dan eksergi dari skenario I sebesar 77,17% dan 18,86%; skenario II sebesar 77,29% dan 19,19%; dan skenario III sebesar 80,17% dan 26,29%. Hasil simulasi menunjukkan bahwa skenario III terjadi peningkatan efisiensi tertinggi.

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The sugar industry in Indonesia has potential to generate excess electricity to export to the grid. Currently, almost all sugar mills in Indonesia has not been able to produce a surplus electricity and they can not even able to meet its own electricity. This study purpose is to analyze the inefficiency that occurs in the production of sugar and provide energy efficient solutions and the efficient cogeneration configuration as well. Energy analysis is conducted to describe the energy balance and mass balance, while exergy analysis was conducted to identify inefficiency in sugar production process and utility systems. Exergy analysis performed on the main consuming steam process equipment such a ; mills, purification, evaporator and vacuum pan. The results of calculation "proposed plant" is then compared with the performance of the existing plant. Energy and exergy efficiency obtained for the three scenarios respectively were: 77.17% and 18.86% (scenario 1), 77.29% and 19.19% (scenario 2); and 80.17% and 26.29 % (scenario 3). From the simulation results indicated that scenario 3 was the highest in increasing exergy efficiency."

"ABSTRAKUsing an optimum dynamic scheduling plan, the formulated problem aimed to maximise daily profitability from an existing 12. 5 MW bagasse-based cogeneration plant with a steam capacity of 125 tonne/ h used for sugar refining. The optimal bagasse feed rate yielded a maximum daily profit of 838.49 USD (base case), about 5.14% higher than the conservative constant feeding bagasse into the existing plant. A sensitivity analysis of daily profit was constructed by perturbating the fuel low heating value (LHV), electricity selling rate of electric utility (p) and cost of electricity generation (c) . The maximum daily profit was insensitive to increases in LHV until this LHV was 11% lower than its base case value, which resulted in a decrease in maximum daily profit by 11%. Excessive moisture in the bagasse and the cost of generating electricity (c) caused lower profits, whereas the price of electricity (p) increased profits."