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Importance of fuel in the valuation of lignite-based energy projects with risk assessment from geology to energy market

机译:从地质到能源市场的风险评估中,燃料在褐煤基能源项目估值中的重要性

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This research aims to discuss complex economics of lignite-based energy projects with respect to risk and uncertainty, optimisation, sustainable land use and the importance of lignite as fuel that may be expressed in situ as a deposit of energy. The sensitivity analyses and Monte Carlo simulations performed in this article include estimated land acquisition costs, geostatistics, 3D deposit block modelling, electricity (product) price, power station efficiency, the unit cost of lignite processing at the power station, CO2 allowance costs, mining unit cost and also geological risk considered as kriging estimation error for lignite reserves. The investigated parameters have a nonlinear influence on the final results and hence the economically viable amount of lignite in the optimum ultimate pit varies. The optimum ultimate pit area varies across scenarios from 11.2 km(2) (or even 9.1 km(2)) up to 14.3 km(2). The performed simulations allowed each optimum ultimate pit to be calculated from a unique set of project parameters based on their distributions. For the highest surface cost scenario, there is 95% probability of obtaining undiscounted net value of (sic)1277 million and also there is only 5% chance to obtain the net value of (sic)5524 million.
机译:这项研究旨在讨论基于褐煤的能源项目的复杂经济学,涉及风险和不确定性,优化,可持续土地利用以及褐煤作为燃料的重要性,这种重要性可以就地表示为能源储量。本文中进行的敏感性分析和蒙特卡洛模拟包括估算的土地购置成本,地统计学,3D沉积块建模,电(产品)价格,电站效率,电站褐煤处理的单位成本,CO2配额成本,采矿单位成本以及地质风险被视为褐煤储量的克里格法估计误差。所研究的参数对最终结果具有非线性影响,因此,最佳最终矿中褐煤的经济可行量会发生变化。最佳的最终矿坑面积在各种场景中有所不同,从11.2 km(2)(甚至9.1 km(2))到14.3 km(2)。通过执行的模拟,可以根据一组独特的项目参数分布来计算每个最佳最终坑。对于最高的表面成本方案,有95%的概率获得(sic)12.77亿的未贴现净值,并且只有5%的机会获得(sic)55.24亿的净值。

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