Implications of accelerated and delayed climate action for Ireland's energy transition under carbon budgets.

Limiting global warming requires the effective implementation of energy mitigation measures by individual countries. However, the consequences of the timing of these efforts on the technical feasibility of adhering to cumulative carbon budgets-which determines future global warming-are underexplored. Moreover, existing national studies on carbon budgets either overlook integrated sectoral interactions, path dependencies, or comprehensive demand-side strategies.

Global high-resolution growth projections dataset for rooftop area consistent with the shared socioeconomic pathways, 2020-2050.

Assessment of current and future growth in the global rooftop area is important for understanding and planning for a robust and sustainable decentralised energy system. These estimates are also important for urban planning studies and designing sustainable cities thereby forwarding the ethos of the Sustainable Development Goals 7 (clean energy), 11 (sustainable cities), 13 (climate action) and 15 (life on land). Here, we develop a machine learning framework that trains on big data containing ~700 million open-source building footprints, global land cover, road, and population datasets to generate globally harmonised estimates of growth in rooftop area for five different future growth narratives covered by Shared Socioeconomic Pathways.

A deep learning architecture for energy service demand estimation in transport sector for Shared Socioeconomic Pathways.

Meeting current global passenger and freight transport energy service demands accounts for 20% of annual anthropogenic CO emissions, and mitigating these emissions remains a considerable challenge for climate policy. Pursuant to this, energy service demands play a critical role in the energy systems and integrated assessment models but fail to get the attention they warrant. This study introduces a novel custom deep learning neural network architecture (called TrebuNet) that mimics the physical process of firing a trebuchet to model the nuanced dynamics inherent in energy service demand estimation.

Mapping emergent public engagement in societal transitions: a scoping review.

Background: Transition discourses are gaining prominence in efforts to imagine a future that adequately addresses the urgent need to establish low carbon and climate resilient pathways. Within these discourses the 'public' is seen as central to the creation and implementation of appropriate interventions. The role of public engagement in societal transformation while essential, is also complex and often poorly understood.

High resolution global spatiotemporal assessment of rooftop solar photovoltaics potential for renewable electricity generation.

Rooftop solar photovoltaics currently account for 40% of the global solar photovoltaics installed capacity and one-fourth of the total renewable capacity additions in 2018. Yet, only limited information is available on its global potential and associated costs at a high spatiotemporal resolution. Here, we present a high-resolution global assessment of rooftop solar photovoltaics potential using big data, machine learning and geospatial analysis.

An inter-model assessment of the role of direct air capture in deep mitigation pathways.

The feasibility of large-scale biological CO removal to achieve stringent climate targets remains unclear. Direct Air Carbon Capture and Storage (DACCS) offers an alternative negative emissions technology (NET) option. Here we conduct the first inter-model comparison on the role of DACCS in 1.