A new project will create an Open Energy Outlook for the United States to complement the US Annual Energy Outlook, which produces modeled projections of domestic energy markets. The Open Energy Outlook will utilize an open source energy system optimization model to examine US technology and policy pathways for deep decarbonization. Energy models provide a self-consistent framework to evaluate the effects of technology innovation, shifts in fuel prices, and new energy and climate policies. The focus on open source code and data is intended to foster community involvement in the effort, allow researchers to interrogate the model and reproduce published results, and engender trust within the broader community of modelers, analysts, and decision makers. The project has been funded by the Sloan Foundation.
Image: “StEmp-Tool Anhalt-Bitterfeld-Wittenberg“ © Reiner Lemoine Institut | CC BY 4.0
Open Energy Modelling has been built up as a research community over the last ten years aiming to bring transparency to the field using an array of Open Science methods for the planning of energy systems. The role of collaboration in the research cycle used by scientists in this engineering community is now an established Open Science practice. Similar practices of collaboration and participation outside of academia involving the public are still in their infancy. Harnessing public participation in energy planning and policy development is likely change as the energy sector is undergoing rapid changes due to its large contribution to greenhouse gases and the consequent demands for transparency and innovation to tackle climate change.Read More
GenR is changing how it runs theme and having them ongoing as well as opening up to the Open Science community for theme suggestions. New themes that are already allocated for 2019/20 are ‘Innovation: The Open Science Dividend’ and ‘A Publishing Utopia’.Read More
Image: GPLv2+ license notice for the now‑defunct deeco energy system model added on 24 February 2003. Courtesy Robbie Morrison
The Open Energy Modelling Initiative (shortened to openmod) is an online and offline umbrella community devoted to promoting open energy system modeling and analysis. While there are no restrictions on application area, the bulk of funded research is directed toward questions involving public policy. As of late‑2019, the openmod has about 600 participants on its mailing list, with most of them being full‑time researchers or analysts. More information on Wikipedia. Key URLs are listed in the infobox below.Read More
Image: Ganges River Delta. Image provided by the USGS EROS Data Center Satellite Systems Branch. Caption adapted from text provided by NASA’s Earth Observatory. Source: NASA/USGS Landsat 7; NASA Earth Observatory. From NASA Climate YouTube channel https://www.youtube.com/user/NASAClimate
An interview with Joachim Allgaier on his recently published study on how social media platforms such as YouTube have become hostile to climate science. When you search around climate change on YouTube the results are 50/50 climate science versus anti-science Chemtrails conspiracy theories. YouTube and Google Scholar have been strategically hijacked by groups posting anti-science content, while at the same time academia has neglected to use YouTube and recognise it as the vitally important channel for their scientific voices to be heard. The interview is a call for scientists to actively engage with the platform and for YouTube to reflect the values put forward by its CEO and Google co-founder Susan Wojcicki of an appreciation of the scholarly environment within Silicon Valley. These values could be actioned in YouTube’s AI to favor scientific factual content and by adopting Open Science practices of enhanced transparency across its platforms as anti-science Chemtrails content is also immediately found in search results on Google Scholar. Open has worked for Google’s support of its technology stack with open source, why not apply the same workings to its search indexing, dare it be said by applying a little open library science.