فهرس المقالات Electricity generation

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  1 - هزینه های خارجی تولید برق از نیروگاه های فسیلی: بصورت موردی ایران
  معصومه ترکی زهرا عابدی
  سوخت های فسیلی بعنوان تنها سوختی که در دهه های اخیر جهت تولید برق مورد استفاده نیرو گاه های فسیلی قرار می گیرد در حال اتمام است. و در عین حال باعث متصاعد شدن مقادیر متنابهی آلاینده به محیط زیست می شود . این آلاینده ها به طرق مختلف باعث صدمات جبران ناپذیری به سلامت انسان أکثر

  سوخت های فسیلی بعنوان تنها سوختی که در دهه های اخیر جهت تولید برق مورد استفاده نیرو گاه های فسیلی قرار می گیرد در حال اتمام است. و در عین حال باعث متصاعد شدن مقادیر متنابهی آلاینده به محیط زیست می شود . این آلاینده ها به طرق مختلف باعث صدمات جبران ناپذیری به سلامت انسان و محیط زیست می شوند.. این صدمات هزینه های خارجی منفی ایجاد می کنند که در هزینه های خصوصی نیروگاه ها و در صورتحسابهای نهایی محاسبه و وارد نمی شود .هدف از تهیه این مقاله بدست اوردن هزینه های خارجی نیرو گاه های فسیلی در ایران بر اساس ضرایب EPA ، بانک جهانی و سازمان حفاظت محیط زیست در سال 1383 بوده است.به منظور بررسی هزینه های خارجی نیروگاه ها ، نیروگاه های فسیلی در ایران که شامل نیروگاه های گازی ، دیزلی ، سیکل ترکیبی و بخاری می باشند بطور اسنادی مورد بررسی قرار گرفت . نتایج نشان می دهد که هزینه های خارجی نیرو گاه های سیکل ترکیبی به دلیل استفاده تر کیبی از سوخت گاز طبیعی و و گازوئیل در مقایسه با سایر نیرو گاه ها از مقادیر کمتری برخوردار است و از طرفی راندمان بالایی دارد . بنابر این نیاز است با توجه به نیاز روز افزون به مصرف انرژی و افزایش جمعیت و بالا رفتن سطح تکنولوژیها ، احداث نیرو گاه ها با تکنولوژی های جدید و راندمان بالا در کشور توسعه پیدا کند. تفاصيل المقالة
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  2 - Optimization Planning Model for Carbon Dioxide Emissions Reduction Via Renewable Energy Switch in a Coal Power Station
  S. Siti Hafshar A. Johari H. Hashim Saeed Ahmed
  10.22094/joie.2022.1962173.1973
  Stable economy status has made many foreign investors invested in various industries sectors in Malaysia. Therefore, rapid development of industrial sector has caused the energy demand to increase tremendously year by year. To continue attract foreign investors, Malaysi أکثر

  Stable economy status has made many foreign investors invested in various industries sectors in Malaysia. Therefore, rapid development of industrial sector has caused the energy demand to increase tremendously year by year. To continue attract foreign investors, Malaysia has taken various efforts to maintain economic stability by developing a sustainable energy sector to ensure electricity demand is sufficient for industries with less cost, reliable supply, and also less impact to the environment. However, over dependence on fossil fuels as the main energy source could not guarantee the energy security and also could evoke issues of environmental problem mainly the increase in carbon dioxide (CO2) emission in the atmosphere. In this study, a linear programming model and mixed integer linear programming optimization model under carbon constraints was developed to address issue of rising atmospheric concentrations of CO2 from energy sector. The developed model was able to determine the optimum energy sources mix which is most economical and to satisfy the forecasted electricity demand at Tanjung Bin Power Station (TBPS) in Iskandar Malaysia region. The model includes energy source switching and analyzing different renewable energy technologies such as biomass system, biogas system, solar thermal and photovoltaic (PV) plant in power generation. The applicability of the model was tested on various CO2 emission reduction targets which is at 6, 25, 40 and 50 % under several scenarios either without or with government subsidy. The results in this study indicated that the optimum energy source mix for TBPS is the mix of coal and solar energy (mainly solar thermal for without government subsidy and solar PV for with government subsidy). The results show that with government subsidy, the electricity tariff was acceptable for the consumers. The average electricity tariff at 6, 25, 40 and 50 % CO2 emission reduction is RM 0.35, RM 0.44, RM 0.51 and RM 0.57 per kWh, respectively. Increase of CO2 emission reduction show increase in electricity tariff compared to current tariff at RM 0.21 per kWh. Finally, by applying energy source switching, TBPS can significantly reduce CO2 emission by avoiding 1.00 Mt of CO2 emission at 6 % of CO2 emission reduction, 4.14 Mt of CO2 emission at 25 % of CO2 emission reduction, 6.63 Mt of CO2 emission at 40 % of CO2 emission reduction, and 8.28 Mt of CO2 emission at 50 % of CO2 emission reduction by 2030. تفاصيل المقالة
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  3 - A Scenario-Based Robust Compromise Programming Approach for Design of Bioethanol and Electricity Supply Chain in Iran
  Babak Rostami-Ranjbar Mohammad Saidi-Mehrabad
  10.22094/joie.2022.1953244.1941
  Concerning global warming and the Greenhouse gas (GHG) effect, clean energy resources have captured researchers' interest recently. Biomass materials are among important biofuels and bioenergy production resources that have the potential to replace fossil fuels. Using b أکثر

  Concerning global warming and the Greenhouse gas (GHG) effect, clean energy resources have captured researchers' interest recently. Biomass materials are among important biofuels and bioenergy production resources that have the potential to replace fossil fuels. Using biomass materials leads to a decline in GHG emission and air pollution levels, not being dependent on fossil fuels, and provide energy security. Due to the importance of bioenergy and biofuels, a multi-product, multi-period, and green mathematical model has been developed to improve economic and environmental objectives for bioethanol and the electricity supply chain. It includes the following decisions: determining production centers' location and capacity, technology selection, determining inventory holding level, biomass type selection, allocation, amount of material flow, and determining transportation modes. In this study, a scenario-based robust compromise programming approach (SRCP) is developed for the bi-objective solution of the provided mathematical model and determining Pareto optimal points under uncertain conditions. Finally, the performance and effectiveness of SRCP are provided, and the results obtained from the case study in Iran are analyzed. According to the results, Annual electricity and bioethanol production capacity are at least 8000 million kWh and 1250 kton, respectively, satisfying 10% of electricity and 5% of gasoline demand in 6 provinces of Iran. The sensitivity analysis also shows that equal weight for both objectives can be more logical for decision makers. تفاصيل المقالة