This study examines the effects of the inclusion of co-benefits on the potential capacity of advanced thermal plants with a linear programming model in the CDM (clean development mechanism) in India's power sector....This study examines the effects of the inclusion of co-benefits on the potential capacity of advanced thermal plants with a linear programming model in the CDM (clean development mechanism) in India's power sector. It investigates how different marginal damage costs of air pollutants affect the potential capacity of NGCC (natural gas combined cycle) and IGCC (integrated gasification combined cycle) by CDM projects with a scenario analysis. Three results are found from this analysis. First, IGCC and NGCC are installed at lower CER (certified emission reductions) prices when the marginal damage costs of air pollutants are added to the CER prices. Second, the CER prices of $1/tCO2 correspond with the sum of marginal damage costs of air pollutants of $150/t for NGCC and $30/t for IGCC in India's power sector. Thus, including the co-benefits into CDM attracts developing countries such as India where coal resource is redundant. Third, the SOx and NOx reduction benefits attained from the CDM projects become large in a grid where IGCC is installed.展开更多
This study examines the effects of nuclear phase-out and newly implemented FIT (feed-in tariff) at the TEPCO (Tokyo Electric Power Company) jurisdiction. A power generation mix linear programming model is develope...This study examines the effects of nuclear phase-out and newly implemented FIT (feed-in tariff) at the TEPCO (Tokyo Electric Power Company) jurisdiction. A power generation mix linear programming model is developed for the TEPCO jurisdiction up to 2030. Three results are found from this analysis. First, coal-fired power plants compensate for an abolishment of nuclear power generation when power mix is analyzed to maximum profits. Second, it is clarified that FIT provides competitiveness to wind power for potential and photovoltaics at the location where 15% of efficiency is expected at the TEPCO jurisdiction. Third, implementing FIT can decrease fossil-fuel dependency and CO2 emissions as much as planned nuclear power generation. However, system costs increase 4.61 trillion.展开更多
文摘This study examines the effects of the inclusion of co-benefits on the potential capacity of advanced thermal plants with a linear programming model in the CDM (clean development mechanism) in India's power sector. It investigates how different marginal damage costs of air pollutants affect the potential capacity of NGCC (natural gas combined cycle) and IGCC (integrated gasification combined cycle) by CDM projects with a scenario analysis. Three results are found from this analysis. First, IGCC and NGCC are installed at lower CER (certified emission reductions) prices when the marginal damage costs of air pollutants are added to the CER prices. Second, the CER prices of $1/tCO2 correspond with the sum of marginal damage costs of air pollutants of $150/t for NGCC and $30/t for IGCC in India's power sector. Thus, including the co-benefits into CDM attracts developing countries such as India where coal resource is redundant. Third, the SOx and NOx reduction benefits attained from the CDM projects become large in a grid where IGCC is installed.
文摘This study examines the effects of nuclear phase-out and newly implemented FIT (feed-in tariff) at the TEPCO (Tokyo Electric Power Company) jurisdiction. A power generation mix linear programming model is developed for the TEPCO jurisdiction up to 2030. Three results are found from this analysis. First, coal-fired power plants compensate for an abolishment of nuclear power generation when power mix is analyzed to maximum profits. Second, it is clarified that FIT provides competitiveness to wind power for potential and photovoltaics at the location where 15% of efficiency is expected at the TEPCO jurisdiction. Third, implementing FIT can decrease fossil-fuel dependency and CO2 emissions as much as planned nuclear power generation. However, system costs increase 4.61 trillion.