List of talks
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Summary
In order of presentation
| Presenter | — | Talk | |
|---|---|---|---|
| 1 | Leonard Göke | @leonardgoeke | Benders decomposition with a second-order cone constrained trust-region for large bottom-up planning models |
| 2 | Maximilian Parzen | @MaxParzen | The new PyPSA meets Earth initiative is looking for you |
| 3 | Chris Gong | @chrisgong | Modelling power sector transition by coupling hourly investment and dispatch model with IAM |
| 4 | Ludwig Hülk | @ludwig.huelk | Development status and planning of the Open Energy Platform: a collaborative database and open framework for energy research data management |
| 5 | Silvana Ovaitt | @shiru | PV ICE Tool: Evaluating Photovoltaics in the Circular Economy |
| 6 | Sacha Hodencq | @sacha.hodencq | User experience inquiry to specify COFFEE: a Collaborative Open Framework for Energy Engineering |
| 7 | Carlos Quesada | @cruz.borges | WHY: Climbing the causality ladder to understand and project the energy demand of the residential sector |
| 8 | Carlos Gaete | @cdgaete | emobpy, an e-mobility python open-source tool, has reached 10K downloads! |
Full submissions
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Leonard Göke @leonardgoeke “Benders decomposition with a second-order cone constrained trust-region for large bottom-up planning models” Planning the pathway towards a renewable energy system at a high temporal resolution and accounting for multiple climatic years quickly exceeds the computational capabilities when using off-the-shelf solvers. To efficiently parallelize the solution process of these models, the presentation introduces refinements to the Benders algorithm that enforce trust-regions from heuristic solutions computed with reduced time-series. The corresponding code is available on the dev branch of AnyMOD.jl.
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Maximilian Parzen @MaxParzen “The new PyPSA meets Earth initiative is looking for you.” Many people believe that global energy system modelling for investment and dispatch optimization in high spatial resolution is impossible. Indeed there are interesting challenges, however, together we can overcome them. PyPSA meets Earth is an independent research initiative with a growing international community that is focusing on the provision of global open tools and data for the energy transition. While the initiative started in 2021 with an initial focus on Africa, the scope recently broadened to cover the world. The presentation will layout out our vision and existing work on open data, energy system models and solvers. Do you want to get involved?
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Chris Gong @chrisgong “Modelling power sector transition by coupling hourly investment and dispatch model with IAM”. Integrated assessment models’ (IAMs) lack of hourly resolution hinders the explicit modelling of wind and solar variability, sector coupling and electrification. Our preliminary work of model coupling shows it is possible to couple an energy system model (ESM) of hourly resolution with IAM in a way that gives “best of both worlds”: ESM provides peak (hourly) residual demand, endogenous market value and dispatch of various technologies, while IAM carries out long-term macroeconomic decision making, and includes technological learning, vintage tracking, price-demand elasticity and comprehensive demand-sector coverage. Both models being coupled are partially or fully open-source: REMIND, DIETER.
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Ludwig Hülk @ludwig.huelk “Development status and planning of the Open Energy Platform: a collaborative database and open framework for energy research data management”. Originated from the openmod, the Open Energy Family and the OEP is a cross-project research project that is continuously being developed by various universities and institutes. We will give an update of the existing modules and planed features that are being developed.
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Silvana Ovaitt @shiru “PV ICE Tool: Evaluating Photovoltaics in the Circular Economy”. This open-source tool follows the dynamic Material and flows for each component and material in a PV system, from mining to end of life to evaluate the material and energy impacts of different paths. Following circularity principles, virgin material inputs can be offset by recovered materials to reduce impacts due to mining and extraction. Unlike consumer products, renewable energy technologies generate power over their useful life to quickly offset energy required for manufacturing. The model provides unique baselines of PV evolution, and allows us to evaluate the material and soon energy return on investment of decisions such as field repair, off-site refurbishment, reuse, or recycling. Energy layer and cost, as well as visual dashboard under development.
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Sacha Hodencq @sacha.hodencq “User experience inquiry to specify COFFEE: a Collaborative Open Framework for Energy Engineering” Introducing COFFEE, a concept of open and collaborative platform in the field of energy modelling. The platform concept intends to make research accessible and improve collaborations between researchers, public authorities, design offices and citizen collectives. The method and results of a user experience inquiry will be shared and can be used as guidelines for the implementation of open energy modelling platforms.
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Carlos Quesada @cruz.borges “WHY: Climbing the causality ladder to understand and project the energy demand of the residential sector” At the WHY project it has been compiled a “Time Series from Smart Meters” dataset containing hourly time series of electricity consumption, both raw and cleaned, obtained from smart meters of electric cooperatives in Spain between 2014 and 2021. In addition, the dataset also contains relevant feature values and metadata extracted not only from the time series of Spanish electric cooperatives but also from other similar publicly available datasets.
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Carlos Gaete @cdgaete “emobpy, an e-mobility python open-source tool, has reached 10K downloads!” There is substantial research interest in how future fleets of battery-electric vehicles will interact with the power sector. Energy models are used to evaluate the impact, but they depend on meaningful input parameters, in particular time series. As the availability of such data is highly limited, we introduced in 2020 the open-source tool emobpy. The tool uses mobility statistics, physical properties of battery-electric vehicles, and other customizable assumptions, and it derives time-series data that can readily be used in a wide range of model applications. The tool was recently published in Scientific Data, and now we have just passed the 10K downloads at PyPI! To continue building a community, we want to promote our incoming webinar and slack channel.
References
- Gaete‑Morales, Carlos, Hendrik Kramer, Wolf‑Peter Schill, and Alexander Zerrahn (11 June 2021). “An open tool for creating battery-electric vehicle time series from empirical data, emobpy”. Scientific Data. 8 (1): 152. ISSN 2052-4463. doi:10.1038/s41597-021-00932-9.
Withdrawn submissions
The following outline was withdrawn because the International Energy Agency (IEA) rescheduled its Ministerial meeting by seven weeks to 23–24 March 2022 and the concept of a debrief evaporated in the process. 
We plan to run a dedicated webinar after the IEA has published its official communique from that meeting.
- Malte Schäfer @MalteSchaefer and Robbie Morrison @robbie.morrison “Debrief on the proposed International Energy Agency (IEA) open data policy change”. This particular mini‑workshop will take place two weeks after the IEA Ministerial meeting in Pittsburgh, USA on 2–3 February 2022. And it is likely that that meeting produces significant outcomes — either way — in terms of open data. This short talk will review those outcomes and their implications and also discuss the preceding campaign to attempt to secure open data. For evolving background, please see here.