Spine Toolbox: A flexible open-source workflow management system with scenario and data management

Kiviluoma, Juha; Pallonetto, Fabiano; Marín, Manuel; Savolainen, Pekka T.; Soininen, Antti; Vennström, Per; Rinne, Erkka; Huang, Jiangyi; Kouveliotis-Lysikatos, Iasonas; Ihlemann, Maren; Delarue, Erik; O’Dwyer, Ciara; O’Donnel, Terence; Amelin, Mikael; Söder, Lennart; Dillon, Joseph

doi:10.1016/j.softx.2021.100967

Cited by 16 publications

(5 citation statements)

References 19 publications

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“…The simulations were performed on a laptop with an Intel(R) Core(TM) i7-1265U CPU @ 1.80 GHz processor and 16 GB of RAM. The raw data processing was handled using Spine Toolbox [47] with Python v3.9.17, while most of the ABM.jl simulations, results processing, and plotting were handled in Julia v.1.9.2. Each full-year simulation with ABM.jl took around 1-2 s on average, enabling wide parameter sweeps to examine model sensitivities.…”

Section: Resultsmentioning

confidence: 99%

Sensitivity of a Lumped-Capacitance Building Thermal Modelling Approach for Energy-Market-Scale Flexibility Studies

Rasku,

Simson,

Kiviluoma

2024

Buildings

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Despite all the literature on building energy management, building-stock-scale models depicting its impact for energy-market-scale optimisation models are lacking. To address this shortcoming, an open-source tool called ArchetypeBuildingModel.jl has been developed for aggregating building-stock-level data into simplified lumped-capacitance thermal models compatible with existing open-source energy-system modelling frameworks. This paper aims to demonstrate the feasibility of these simplified thermal models by comparing their performance against dedicated building simulation software, as well as examining their sensitivity to key modelling and parameter assumptions. Modelling and parameter assumptions comparable to the existing literature achieved an acceptable performance according to ASHRAE Guideline 14 across all tested buildings and nodal configurations. The most robust performance was achieved with a period of variations above 13 days and interior node depth between 0.1 and 0.2 for structural thermal mass calibrations, and with external shading coefficients between 0.6 and 1.0 and solar heat gain convective fractions between 0.4 and 0.6 for solar heat gain calibrations. Furthermore, three-plus-node lumped-capacitance thermal models are recommended when modelling buildings with structures varying in terms of thermal mass. Nevertheless, the ArchetypeBuildingModel.jl performance was found to be robust against uncertain key parameter assumptions, making it plausible for energy-market-scale applications.

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Section: Resultsmentioning

confidence: 99%

Sensitivity of a Lumped-Capacitance Building Thermal Modelling Approach for Energy-Market-Scale Flexibility Studies

Rasku,

Simson,

Kiviluoma

2024

Buildings

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“…Utilities to facilitate data management in energy system models have existed for as long as the energy system modelling frameworks themselves. For example, see the proprietary solutions TIMES-VEDA and PLEXOS, or the open-source solutions pyam (Huppmann et al, 2021) and Spine-Toolbox (Kiviluoma et al, 2022). These utilities offer some similar functionality to otoole but are often tailored to specific frameworks (in the case of proprietary solutions), focus on workflow management, or are concerned with result analysis rather than data processing.…”

Section: Statement Of Needmentioning

confidence: 99%

otoole: OSeMOSYS Tools for Energy Work

Barnes,

Usher

2023

JOSS

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Data handling for energy system optimisation models is a necessary but tedious task. Depending on the workflow, user skill level, and model implementation, the data interfacing requirements can be significantly different. OSeMOSYS Tools for Energy Work, or otoole, is a Python package providing OSeMOSYS energy modellers with options to use different input data formats, visualize and validate input data, and process result data. otoole exposes three different input data formats to the user, can process result data from four popular solvers, and is designed to be modular and extensible to enable interoperability between OSeMOSYS models developed in different programming languages.

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“…The model is constructed by defining unit and node objects, as well as their relationships and respective parameter values, using the underlying constraints in a flexible generalized manner. The data flow is managed using Spine Toolbox, which can also be integrated with other modelling frameworks [14]. In the following, we briefly explain how the entities are modelled.…”

Section: A Modeling Frameworkmentioning

confidence: 99%

Renewable fuel regulation: Implications for e-fuel production infrastructure in energy hubs

Langer

Kountouris

Bramstoft

et al. 2023

2023 19th International Conference on the European Energy Market (EEM)

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Renewable fuel of non-biological origins (RFNBOs) are needed to decarbonize hard-to-electrify sectors which rely on liquid or gaseous fuels, such as long-haul shipping. The EU's Delegated Act on RFNBOs defines renewable hydrogen by considering rules on additionality as well as temporal and geographical correlation of the electricity used. For a Danish case study, we examine the impact on the capacity expansion problem of an energy hub producing renewable hydrogen, emethanol, and e-ammonia using a mixed-integer linear problem formulation. We analyze the investments in production capacity, storage assets, and Power Purchase Agreement (PPA) volume under different fuel price assumptions for 2030. We find that e-methanol (combined with limited storage to secure hydrogen supply to the synthesizer) provides the best business case with a PPA volume based on the maximum allowed electrolyzer size.

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Spine Toolbox: A flexible open-source workflow management system with scenario and data management

Cited by 16 publications

References 19 publications

Sensitivity of a Lumped-Capacitance Building Thermal Modelling Approach for Energy-Market-Scale Flexibility Studies

Sensitivity of a Lumped-Capacitance Building Thermal Modelling Approach for Energy-Market-Scale Flexibility Studies

otoole: OSeMOSYS Tools for Energy Work

Renewable fuel regulation: Implications for e-fuel production infrastructure in energy hubs

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