In research commissioned by ARENA and the Distributed Energy Integration Program, we’ve analysed the gaps in knowledge and current activities around the integration of electric vehicles (of all sizes) into the electricity system.
The executive summary is below and the full report is available here.
Our recently released Lessons Learnt Report for the REVS V2G project contains lots of honest reflection about working on technology innovation projects – we think many will find it an interesting read.
We are looking for a PhD scholar to work as part of a multi-party project on cooling – and thereby saving – the Great Barrier Reef.
The PhD project will contribute to the development of clean energy systems that power the equipment that increases the thickness of marine clouds above the reef. These systems may feature solar photovoltaics, wind power, bio fuels, wave power, batteries and other technologies. The project will assess the technical, economic, and social feasibility of these technologies and design systems to meet the needs of the reef cooling applications.
Stoked to have our article on responsible innovation of algorithms for the digital energy era featured on the cover of Nature Energy. Full text is available for free using this link https://rdcu.be/cpu0G
Our new paper in Nature Energy asks fundamental questions of what values and biases algorithms are encoding into our digital energy system.
Abstract below: The digital energy era presents at least three systemic concerns to the design and operation of algorithms: bias of considerations towards the easily quantifiable; inhibition of explainability; and undermining of trust and inclusion, as well as energy users’ autonomy and control. Here we examine these tensions through an interdisciplinary study that reveals the diversity of possible algorithms and their accompanying material effects, focused on neighbourhood-scale batteries (NSBs) in Australia. We conducted qualitative research with energy sector professionals and citizens to understand the range of perceived benefits and risks of NSBs and the algorithms that drive their behaviour. Issues raised by stakeholders were integrated into NSB optimization algorithms whose effects on NSB owners and customers were quantified through techno-economic modelling. Our results show the allocation of benefits and risks vary considerably between different algorithm designs. This indicates a need to improve energy algorithm governance, enabling accountability and responsiveness across the design and use of algorithms so that the digitization of energy technology does not lead to adverse public outcomes.