The recent changes in energy scenario with rising attention to decarbonization, introduction of new technology and renewable source have led to design power plant with the lowest values of cost of energy, investment payback period, CO2 emission, especially in cogeneration and combined cycle plants. The cost of a gas turbine, an industrial key intellectual property value, represents a large portion of total plant capital cost. In fact, the correlations used to determine this cost, represent an important part in the optimization of power plant studied. In this work, a new cost correlation has been determined using gas turbine data presents into GTW handbook. The overall correlation, dependently only on gas turbine output power, used in a lot of scientific studies is here actualized, calculating new split-power and new coefficients for Heavy Duty and Aeroderivative gas turbine. Therefore, a more complete and detailed correlation is developed, introducing additional parameters, such as thermodynamic efficiency, pressure ratio, exhaust temperature and exhaust mass flow rate, whose values are available on gas turbine datasheet. The new correlation here proposed reflects better real gas turbine configurations and costs.

随着能源方案的最新变化以及对脱碳，新技术和可再生能源的日益关注，导致设计电厂的能源成本，投资回收期，CO2排放值最低，尤其是在热电联产和联合循环电厂中。燃气轮机的成本是工业上的关键知识产权价值，占工厂总资本成本的很大一部分。实际上，用于确定该成本的相关性代表了所研究电厂优化中的重要部分。在这项工作中，已经使用GTW手册中显示的燃气轮机数据确定了新的成本相关性。在这里，实现了许多科学研究中所使用的整体相关性，仅取决于燃气轮机的输出功率，计算重型和航空衍生燃气轮机的新功率和新系数。因此，开发了更加完整和详细的相关性，引入了其他参数，例如热力学效率，压力比，排气温度和排气质量流率，这些值可在燃气轮机数据表上获得。这里提出的新的相关性反映了更好的实际燃气轮机配置和成本。