This topic (effectively this page) is to collect and later rank and filter lightning talks for the 16th openmod workshop scheduled for 22–24 March 2023.
The vienna-2023 tag lists all topics relevant to this event.
Each lightning talk presenter is allocated 4 minutes.
Role
Lightning talks are designed for you to share something you think others in the community should know about. For example, you could spread the love for some tool, library, or unknown but valuable feature of a library; you could keep everyone updated with developments in open science; or share a success story where open science made an impact.
Agenda
Thursday session : 10:45–11:45
FAME: open Framework for distributed Agent-based Modelling of Energy systems, by @Schimi
eGon - Open and cross-sectoral planning of transmission and distribution grids, by @khelfen
Unlocking the potential of open energy data and open source modeling for African governments: from ideas to impacts, by @mohammad1372
Jupyter notebooks as intermediary objects for energy modelling, by @sacha.hodencq
MUESSLI: MultiEnergy System Smartlinking Integration, by @selepy
RAMP: multi-energy stochastic demand simulation. From remote villages to mobility and charging time series of electric vehicles across Europe, by @F_Lomb
Current and planned developments of the Open Energy Family and OEP, by @ludwig.huelk
In eGon, an open data basis for the German energy system is created. This data set will be published on the OEP. Furthermore, a top-down optimization of the German energy system incl. the transmission and distribution grids is performed.
Sharing some experiences and reflections on working with African governments on open energy data and open source energy modelling as well as highligting some of the key lessons learnt and best practices for Breaking Barriers & Building Bridges
Notebooks are literate programming documents combining code in a textual programming language (e.g. Python, R or recently Julia), text and execution results with visualisations and other rich mediation materials. Beyond knowledge capitalisation, these notebooks can be used as intermediate objects to collaborate around case studies thanks to the intermediate level of complexity that notebooks can have compared to code and documentation.
For many demand side management studies data is needed on which devices can be shifted how much, when charging for electric cars is needed and more. We extended the loadprofilegenerator.de now to generate that data and the talk will introduce the new functionality.
RAMP is an open-source software suite for the stochastic simulation of any user-driven energy demand time series based on a few simple inputs. It has been applied to off-grid systems, various types of heat demand, and mobility and charging profiles of electric vehicle fleets. First openly released in 2019, RAMP is now a multi-institution software development effort involving many active OpenMod members and has been undergoing massive development in the last few months. We are excited to share the ‘next-gen’ version of the software and the upcoming advancements.
The OEFamily is a collaborative framework for Research Data Management. It aims to ensure quality, transparency and reproducibility in energy system research. The OEP is the community database for Open Data and has been developed by several projects and institutes. We present the ongoing developments, plans for the future and possibilities for cooperation.
A reflection on my journey into open-source energy system science as an early-career academic. I will talk about learning from open-source models; developing an open model of the GB power system; using open-source as a selling point to win funding; and growing a team to contribute to the open-source community. I hope this will provide insight and inspiration to others, and spark conversations on effective strategies for contributing to this community.
The heating demand of the residential and tertiary sector can be met by different technological solutions. Heat can be produced by gas boilers, electricity and heat pumps, with or without thermal storage. Moreover, all these means of production can be individual or collective, i.e. using district heating networks.
Based on a linear programming model, we will present a methodology to analyze how these different heat production strategies depend on the price of gas and electricity, and how financial incentives may favor one strategy over another.
Policy experts and decision makers involved with building construction and operation need to understand environmental impacts across the whole life cycle of buildings at different spatial and temporal scales, but there is a lack of practical solutions for handling high-definition life cycle data of buildings and their implementation for building stock modelling at macro-scale.
We propose the SLiCe building data model as an open interface for handling high-definition building life cycle data and are actively pursuing the development of an ecosystem for SLiCe implementation in research and decision-making practice.
First practical applications of the SLiCe data model include: a) the SLiCe building LCA model (developed in ongoing research projects for the European Commission on modelling the whole life carbon emissions of the European building stock 2020-2050), a highly parametrized model for building life cycle assessment using hierarchical modelling of life cycle inventories with explicit representation of materials, worksections, elements and the building level, implemented using a central SQL database and Python scripts for data loading, calculation and interpretation/visualization, as well as; b) the SLiCe hotspot analysis tool, which offers an implementation of SLiCe data for analysis along the PEF/OEF hotspot analysis protocol in an interactive assessment tool using IPython JupyterNotebooks with interactive UI elements.
The open SLiCe building data model can be elaborated to include spatial attributes at higher and lower scale levels, increase the resolution of temporal life cycle information, and to capture additional indicators. SLiCe offers an open interface for researchers and industry professionals for joint elaboration and development towards scalable, high-definition LCA of buildings and building stocks.
The Climate Compatible Growth (CCG) programme is funded by the UK’s Foreign, Commonwealth and Development Office (FCDO) to support investment in sustainable energy and transport systems to meet development priorities in the Global South. KTH leads a work stream that aims to integrate Open Science practices into the programme’s work. In this lightning talk, I will highlight some of the main contributions from CCG including - publishing open data starter kits; a growing roster of energy-focussed open courses, supported by an open source Climate Compatible Curriculum website; high-level initiatives (Roundtable and U4RIA) to advocate and promote for Open Science in development and decision support; and more…
In the 10th anniversary since Calliope has come to life, we would like to present an overview on the software face-lifts and the core improvements soon to come. We believe that every single energy system modelling tool has its own strong suit, and Calliope is dressing up!
I am working on design and operational optimization model for power-to-fuel system with focus on methanol synthesis. Focus is on finding flexibility potential using this model. I will describe my modeling approach.