Abstract

Historically, gas turbines (GTs) have been engineered for natural gas applications and costs are commonly estimated on a $/kW basis. However, when studying advanced power systems such as solid oxide fuel cell-GT hybrids or other unconventional applications, this commonly used cost basis cannot accurately predict the GT cost under these novel operating conditions, which ultimately leads to inaccurate economic evaluations of the entire power system. In this study, a parametric cost estimation approach has been utilized to identify the main cost drivers based upon the GT’s on-design operating condition: I) GT air mass flow rate, II) GT compression ratio and III) GT turbine inlet temperature. Based on these characteristics, a GT cost correlation has been derived which is able to predict the GT genset price with an accuracy level of R² = 97.5%.

摘要

从历史上看，燃气轮机 (GT) 是为天然气应用而设计的，成本通常以 $/kW 为基础进行估算。然而，在研究固体氧化物燃料电池-GT 混合动力等先进动力系统或其他非常规应用时，这种常用的成本基础无法准确预测这些新型工况下的 GT 成本，最终导致对整个动力系统的经济评估不准确. 在这项研究中，根据 GT 的设计运行条件，使用参数成本估算方法来确定主要成本驱动因素：I) GT 空气质量流量，II) GT 压缩比和 III) GT 涡轮进口温度。基于这些特征，推导出 GT 成本相关性，能够以 R 的准确度水平预测 GT 发电机组价格² = 97.5%。