lcpy: an open-source python package for parametric and dynamic Life Cycle Assessment and Life Cycle Costing
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arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866918060289425408 |
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| author | Gkousis, Spiros Katsou, Evina |
| author_facet | Gkousis, Spiros Katsou, Evina |
| contents | This article describes lcpy, an open-source python package that allows for advanced parametric Life Cycle Assessment (LCA) and Life Cycle Costing (LCC) analysis. The package is designed to allow the user to model a process with a flexible, modular design based on dictionaries and lists. The modeling can consider in-time variations, uncertainty, and allows for dynamic analysis, uncertainty assessment, as well as conventional static LCA and LCC. The package is compatible with optimization and uncertainty analysis libraries as well as python packages for prospective LCA. Its goal is to allow for easy implementation of dynamic LCA and LCC and for simple integration with tools for uncertainty assessment and optimization towards a more widened implementation of advanced enviro-economic analysis. The open-source code can be found at https://github.com/spirdgk/lcpy. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_13744 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | lcpy: an open-source python package for parametric and dynamic Life Cycle Assessment and Life Cycle Costing Gkousis, Spiros Katsou, Evina Emerging Technologies This article describes lcpy, an open-source python package that allows for advanced parametric Life Cycle Assessment (LCA) and Life Cycle Costing (LCC) analysis. The package is designed to allow the user to model a process with a flexible, modular design based on dictionaries and lists. The modeling can consider in-time variations, uncertainty, and allows for dynamic analysis, uncertainty assessment, as well as conventional static LCA and LCC. The package is compatible with optimization and uncertainty analysis libraries as well as python packages for prospective LCA. Its goal is to allow for easy implementation of dynamic LCA and LCC and for simple integration with tools for uncertainty assessment and optimization towards a more widened implementation of advanced enviro-economic analysis. The open-source code can be found at https://github.com/spirdgk/lcpy. |
| title | lcpy: an open-source python package for parametric and dynamic Life Cycle Assessment and Life Cycle Costing |
| topic | Emerging Technologies |
| url | https://arxiv.org/abs/2506.13744 |