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Main Authors: Wang, Ni, Morales-España, Germán
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2505.00379
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author Wang, Ni
Morales-España, Germán
author_facet Wang, Ni
Morales-España, Germán
contents This paper reviews two established formulations for modelling multi-year energy investments: the simple method, which aggregates all capacity regardless of commissioning year, and the vintage method, which explicitly tracks investments by year to capture differences in technical parameters over time. While the vintage method improves modelling fidelity, it significantly increases model size. To address this, we propose a novel compact formulation that maintains the ability to represent year-specific characteristics while reducing the dimensionality of the model. The proposed compact formulation is implemented in the open-source model TulipaEnergyModel.jl and offers a tractable alternative for detailed long-term energy system planning.
format Preprint
id arxiv_https___arxiv_org_abs_2505_00379
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Vintage-Based Formulations in Multi-Year Investment Modelling for Energy Systems
Wang, Ni
Morales-España, Germán
Optimization and Control
This paper reviews two established formulations for modelling multi-year energy investments: the simple method, which aggregates all capacity regardless of commissioning year, and the vintage method, which explicitly tracks investments by year to capture differences in technical parameters over time. While the vintage method improves modelling fidelity, it significantly increases model size. To address this, we propose a novel compact formulation that maintains the ability to represent year-specific characteristics while reducing the dimensionality of the model. The proposed compact formulation is implemented in the open-source model TulipaEnergyModel.jl and offers a tractable alternative for detailed long-term energy system planning.
title Vintage-Based Formulations in Multi-Year Investment Modelling for Energy Systems
topic Optimization and Control
url https://arxiv.org/abs/2505.00379