{"id":16,"date":"2024-01-10T22:00:00","date_gmt":"2024-01-10T22:00:00","guid":{"rendered":"https:\/\/greoux.re\/explore\/?p=16"},"modified":"2024-01-10T22:00:00","modified_gmt":"2024-01-10T22:00:00","slug":"ieso-setup-guide","status":"publish","type":"post","link":"https:\/\/greoux.re\/explore\/ieso-setup-guide\/","title":{"rendered":"IESO Setup Guide"},"content":{"rendered":"\n\n\n\n
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\nRecommended Citation:\nGr\u00e9oux Research. (2024). IESO Setup Guide. Online Article.\nhttps:\/\/greoux.re\/explore\/ieso-setup-guide\/<\/a>\n<\/div>\n<\/div>\n\n\n

Introduction<\/h4>\n\n\n

This article provides a guide on how to set up and run the Integrated Energy Systems Optimiser<\/a> (IESO), a linear optimiser-based energy system modelling environment designed to support initial investigations such as options evaluation and trend analysis.<\/p>\n\n\n

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\n\n<\/i>\n\u00a0\nGet IESO\n<\/a>\n<\/div>\n<\/div>\n
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IESO’s modelling approach is described in this article<\/a>. Its IO file structure is documented at this link<\/a>.<\/p>\n\n\n

IESO is implemented in Python 3 and doesn’t require direct installation itself. However, it relies on external libraries: OR-Tools<\/a>, NumPy<\/a>, and Matplotlib<\/a>, which need to be pre-installed.<\/p>\n\n\n

Creating a virtual environment for IESO<\/h4>\n\n\n

We highly recommend creating a virtual environment for IESO to isolate project dependencies and avoid conflicts with other Python projects on your system.<\/p>\n\n\n

macOS and Ubuntu Linux<\/span><\/p>\n\n\n

1. On macOS, the python3-venv<\/code> package should be available by default. On Ubuntu Linux, the package is installed using the command line:<\/p>\n\n\n

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