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ixmp - The ix modeling platform for integrated and cross-cutting scenario analysis

  •    Python

The ix modeling platform (ixmp) is a data warehouse for high-powered scenario analysis, with interfaces to Python and R for efficient scientific workflows and effective data pre- and post-processing, and a structured database backend for version-controlled data management. This repository contains the core and application programming interfaces (API) for the ix modeling platform (ixmp), as well as a number of tutorials and examples for a generic model instance based on Dantzig's transport problem.

message_ix - The integrated assessment and energy systems model MESSAGEix

  •    Jupyter

MESSAGEix is a versatile, open-source, dynamic systems-optimization model. It was developed for strategic energy planning and integrated assessment of energy-engineering-economy-environment systems (E4). The framework includes the possibility for integration with the general-economy MACRO model to incorporate the feedback from price changes on demand for commodities or energy services. The mathematical formulation is based on the MESSAGE Integrated Assessment model developed at IIASA since the 1980s. The MESSAGEix and MACRO models are implemented in GAMS. This repository contains the GAMS code and a number of tutorials and examples using stylized national energy system models.

gcam-core - GCAM -- The Global Change Assessment Model

  •    C++

The Joint Global Change Research Institute (JGCRI) is the home and primary development institution for GCAM, an integrated assessment tool for exploring consequences and responses to global change. Climate change is a global issue that impacts all regions of the world and all sectors of the global economy. Thus, any responses to the threat of climate change, such as policies or international agreements to limit greenhouse gas emissions, can have wide ranging consequences throughout the energy system as well as on land use and land cover. Integrated assessment models endeavor to represent all world regions and all sectors of the economy in an economic framework in order to explore interactions between sectors and understand the potential ramifications of climate mitigation actions. GCAM has been developed at PNNL for over 20 years and is now a freely available community model and documented online (See below). The team at JGCRI is comprised of economists, engineers, energy experts, forest ecologists, agricultural scientists, and climate system scientists who develop the model and apply it to a range of science and policy questions and work closely with Earth system and ecosystem modelers to integrate the human decision components of GCAM into their analyses.