TurboMAP: A Modular, Multi-Point Engine Modeling Framework for Mid-Fidelity Cycle and Emissions Analysis in Python

TurboMAP (Multi-point Analysis Platform for Turbomachinery) is a Python-based engine simulation framework designed to evaluate gas turbine engine performance and emissions. Developed by the International Council on Clean Transportation (ICCT), TurboMAP integrates PyCycle, OpenMDAO, and mpi4py to support engine performance analyses in both design and off-design points, as well as estimating emissions across multiple flight conditions. This paper presents the underlying architecture of TurboMAP, its solver setup, balance configuration, and parallel processing capabilities. It also details the post-processing capabilities, such as engine calibration and an emissions modeling routine, which enable higher fidelity estimation of CO2, NOx, and non-volatile particulate matter (nvPM) emissions based on internal thermodynamic states of the engine. Using a notional LEAP-1B28 engine calibrated to ICAO Engine Emissions Databank and Type Certificate Data Sheet values, we present a case study on single-engine taxi emissions, showcasing TurboMAP's simulation capabilities. Being a Python-based, non-proprietary and transparent framework, TurboMAP allows additional tools and modules to be integrated to enhance its capabilities. Its fast engine calibration framework make it suitable for policy analysis, operational research and future propulsion system evaluations. A companion validation study benchmarks TurboMAP against the NPSS-based Environmental Design Space (EDS) multi–design point framework and shows that TurboMAP reproduces EDS thrust-specific fuel consumption trends at cruise and top-of-climb while quantifying remaining differences at takeoff and sea-level static.