Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Using Antelope - open source toolset for LCA benchmarking and analysis
Brandon Kuczenski
University of California, Santa Barbara, United States of America
Antelope is an LCA modeling and computation framework that enables a user to build flexible, modular models quickly and easily. Antelope was designed around the principle that product system models can be described precisely without including the data on which those models are based. The architecture is designed to break up the distinct computational tasks of LCA into different interfaces for easier management. The software enables a user to compute LCAs without installing any data on their computer. In the course, I will demonstrate how to install the free version of the software in a python environment and use it to perform on-the-fly LCIA and contribution analysis from a variety of free LCI databases, particularly drawn from the US Federal LCA commons. During this phase, the course will demonstrate techniques for benchmarking LCI data and performing quality review of LCIA scores. The second phase will focus on model building. Enrollees will learn how to build modular models that utilize multiple independent data sources, generate graphical and tabular results, and run scenarios.
