Academic Journal
An open-source framework for balancing computational speed and fidelity in production cost models
| العنوان: | An open-source framework for balancing computational speed and fidelity in production cost models |
|---|---|
| المؤلفون: | Kerem Ziya Akdemir, Konstantinos Oikonomou, Jordan D Kern, Nathalie Voisin, Henry Ssembatya, Jingwei Qian |
| المصدر: | Environmental Research: Energy, Vol 1, Iss 1, p 015003 (2024) |
| بيانات النشر: | IOP Publishing |
| سنة النشر: | 2024 |
| المجموعة: | Directory of Open Access Journals: DOAJ Articles |
| مصطلحات موضوعية: | open-source software, production cost model, fidelity/computational speed tradeoff, model selection, hydrometeorological extremes, multisector dynamics, Renewable energy sources, TJ807-830, Energy industries. Energy policy. Fuel trade, HD9502-9502.5 |
| الوصف: | Studies of bulk power system operations need to incorporate uncertainty and sensitivity analyses, especially around exposure to weather and climate variability and extremes, but this remains a computational modeling challenge. Commercial production cost models (PCMs) have shorter runtimes, but also important limitations (opacity, license restrictions) that do not fully support stochastic simulation. Open-source PCMs represent a potential solution. They allow for multiple, simultaneous runs in high-performance computing environments and offer flexibility in model parameterization. Yet, developers must balance computational speed (i.e. runtime) with model fidelity (i.e. accuracy). In this paper, we present Grid Operations (GO), a framework for instantiating open-source, scale-adaptive PCMs. GO allows users to search across parameter spaces to identify model versions that appropriately balance computational speed and fidelity based on experimental needs and resource limits. Results provide generalizable insights on how to navigate the fidelity and computational speed tradeoff through parameter selection. We show that models with coarser network topologies can accurately mimic market operations, sometimes better than higher-resolution models. It is thus possible to conduct large simulation experiments that characterize operational risks related to climate and weather extremes while maintaining sufficient model accuracy. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 2753-3751 |
| Relation: | https://doi.org/10.1088/2753-3751/ad1751; https://doaj.org/toc/2753-3751; https://doaj.org/article/ced24dce01b3427381d6380faac6617b |
| DOI: | 10.1088/2753-3751/ad1751 |
| الاتاحة: | https://doi.org/10.1088/2753-3751/ad1751 https://doaj.org/article/ced24dce01b3427381d6380faac6617b |
| رقم الانضمام: | edsbas.FC10E0C2 |
| قاعدة البيانات: | BASE |
| تدمد: | 27533751 |
|---|---|
| DOI: | 10.1088/2753-3751/ad1751 |