This topic (effectively this page) is to collect posters for the 16th openmod workshop scheduled for 22–24 March 2023.
The vienna-2023 tag lists all topics relevant to this event.
Some logistical issues with posters are yet to be resolved and details will advised in due course.
Posters can be used to communicate information about your model, data, research, or a related project.
Please create a dedicated posting for each proposal. And add the following template to the top of that posting by simply copy/pasting the markdown, noting that you will need to remove the triple apostrophes that get copied across too.
System stability is becoming increasingly relevant for power system optimization. However, there is a lack of suitable methods to take system stability into account in ESOM (Energy System Optimization Models), at least approximately. So far, ESOM work with simplified steady-state constraints. Based on their results, stability investigations are then carried out, and any necessary countermeasures are determined. It would be preferable to include stability already during optimization, so that the decisions in the ESOM for certain structural options already take into account their influence on stability. This would make the result of the ESOM closer to an optimum that is also permissible from a stability point of view. In this joint project, energy system optimization models (ESOM) are to be extended to include aspects of system stability. The project has the name “STAWESOM” (Stability Aware ESOM). We want to analyze, how to efficiently integrate stability constraints in ESOMS. The poster will describe the intended work flow and tool chain.
[Abstract proposal. The model is currently in development in Grenoble, comments welcomed ! ]
Current transition pathways are currently evaluated through Integrated Assessment Models (IAMs), which provide a framework that incorporates complex interactions and feedbacks between human and natural systems. However, most IAMs downplay the energy and materials required for the transition as a result of a lack of attention paid to the life-cycle approach of capital supply chains and the weak representation of the demand side of the economy. These flaws, in part already identified by the IAMs community, can lead to overly optimistic expectations about the feasibility of a generalized and fair transition to low-carbon energies. The Multiregional Assessment of Technologies, Energy and Raw materials (MATER) model aims at providing insights to fill these gaps. It is a demand-driven stock and flow model operating at a multi-regional and multi-sector level. The model integrates several features. First, historical stocks and flows of technologies are estimated from 1900 to 2022 through a logistic approach and a database of historical stocks of technologies. Second, the model computes future raw materials demand, its associated energy demand and environmental impacts for a wide range of transition scenarios. Third, the total industrial energy is estimated from aggregated manufacture and materials production energy. Finally, the associated supply of the estimated demand of raw materials is regionalized using input-output databases. Using this biophysical approach, the MATER model will provide new insights for the energy-raw materials nexus and the industrial energy in transition scenarios.
The OEMetadata standard is publicly developed on GitHub and conforms to the Frictionless Datapackage standard. It is a json file that describes the structure and content of adjacent files or database tables. In its latest version we have refined it to allow references to ontologies. An ontology is a well-structured and defined description of reality that includes all the elements of interest and their interactions. It contains a formal naming and a definition of classes, properties and their relationships. An ontology can serve as a reference for concepts, terms and definitions within a particular domain of discourse. The Open Energy Ontology (OEO), a collaborative effort, aims to create a common ontology for energy system modelling.
The poster introduces our approach, combining standardized metadata with references to a domain ontology. We describe the structure and content of the OEMetadata standard and the semantic methods of the OEO. Applying an ontology to data annotations in databases and metadata allows flexible, content-oriented data integration and aggregation. It also offers the possibility of advanced searching functions and logical queries across data sets. With this connection, we can ensure that research data can be annotated in a well-defined and unambiguous way, making the data understandable and reusable.
In summary, there is a print store just next to IIASA — http://www.leistbar.com — and you can send your PDF file directly to them using: Service → Upload. And you can then pick up the completed poster before the start of the workshop.
The price for an A0 poster is ~15 €. Make sure to send your file one week in advance and refer to the openmod workshop during your discussions with the store.
I discuss four aspects where I see improvement potential for electricity-related (scope 2) emission accounting and reduction: (1) grid emission factor calculation, (2) additionality, (3) temporal correlation and (4) misaligned incentives. Grid emission factor calculation (1) should be done in a consistent methodological manner and better reflect the actual total emissions arising from electricity consumption. Additionality (2) describes the degree to which the decision to source electricity from a specific source correlates with a reduction in real-world emissions. It should be defined (better) than is currently the case. Temporal correlation (3) describes the degree to which there is an overlap of the generation profile of a renewable electricity producer and its respective consumer. In effect, this aspect describes an operationalization of the 24/7 carbon free energy concept from a consumer perspective. Misaligned incentives (4) describes the fact that according to current standards, consumers lose the incentive to reduce electricity consumption – from an emission accounting perspective – once they switch to renewable electricity sources, as their scope 2 emissions amount to zero. Incentives to reduce both emissions and electricity consumption should be aligned. My poster describes all four aspects in detail, how they relate to one another, and how the improvements I suggest contribute to real-world emission reductions – reductions that decision makers in companies can initiate.