
|
![]() |
The Spine webinars were held September 7-10, 2021.
Four years ago EU project Spine set out to build open-source tools to help modellers manage data and workflow for multiple models working at different scales across power and energy systems. The end result of that process is a set of three tools: Spine Toolbox to manage data, workflow and scenarios for multiple models; SpineOpt to go where no energy system modelling framework has gone before; and SpineInterface for quickly building up bespoke optimization models.
Webinar recordings available here.
In addition, the workshop discussed the following aspects:
Chris Dent (University of Edinburgh / Alan Turing Institute): Why one should study the real world not models, and how to do this
Mel Devine (University College Dublin): Game Theory Optimisation for Energy Systems Integration
Solomon Asfaw (Lappeenranta University of Technology): Lessons from policy scenario modelling and questions of modelling requirements
Jos Sijm (ECN/TNO): Analyzing flexibility of the power system in the Netherlands
Pinrolinvic Manembu (Sam Ratulangi University Indonesia): Smart meter controlling system for dynamic and non-dynamic IP environments
Erik Delarue (KU Leuven): On model validation/calibration/data
Peder Bacher (Technical University of Denmark - DTU): Compute Forecast uncertainties
Angreine Kewo (Technical University of Denmark - DTU): Temporal resolution approach of urban residential electricity consumption
Juha Kiviluoma (VTT Technical Research Centre of Finland): Unequal time intervals within the optimization horizon
Arvydas Galinis (Lithuanian Energy Institute): Representation of reservation services while modelling long term power sector development
Henrik Madsen (Technical University of Denmark - DTU): Compute A Smart-Energy OS for enabling flexibility in the entire energy system
Kris Poncelet (KU Leuven): Using a high level of operational detail: relevance and pitfalls
Manuel Marin (KTH Sweden): Spatial aggregation of nodal systems in the Spine Toolbox
Emanuele Taibi (IRENA): Flexibility assessment of future generation mix using the IRENA FlexTool