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(Uploaded by Plazi for the Bat Literature Project) No abstract provided.

The exploitation of limited energy resources can generate socio-economic inequalities calling for a combination of justice with the socio-technical study of modern energy systems to advance its understanding and remediation. Within this context, this paper uses energy justice and econophysics as theoretical and methodological frameworks to discuss issues of energy poverty in Mexico. The results emerging from this research illustrate that, according to data from 2014, around 61% of Mexican households suffered from energy poverty due to issues of accessibility or affordability of modern energy services and fuels (with 11.54% of households facing both types of energy poverty). This paper provides a novel approach that combines advanced quantitative methods based on econophysics, with conceptual frameworks from social sciences like energy justice to discuss issues of energy poverty in Mexico. Furthermore, this research performs an approximation to energy consumption in Mexican households based on monetary expenditure, the heat value of fuels and unit prices during 2014. These methods contribute to the understanding and characterisation of household energy needs and energy consumption in Mexico, reducing the existing gap in the academic literature on the analysis and critical thinking of energy poverty in Global South contexts (specifically in Latin America).

The recent outbreak of COVID-19 has been devastating for international tourism, adversely affecting destinations, organizations, and local communities. In particular, the crisis highlights the need for local communities reliant on rural tourism to enhance their resilience to the risks simultaneously generated by the pandemic and accelerating impacts of climate change. This is important as the effects of these hazards are intertwined and cannot be treated in isolation. We explore community responses and resilience through case study Quebrada Verde, Peru, a small rural community in the Andes Mountains. Specifically, we report on a qualitative examination involving in-depth semi-structured interviews and focus groups with key informants from the community, supplemented by relevant documentary analysis. Drawing on community resilience and social networks perspectives, we find that the community's preparedness to both threats is unbalanced. On one hand, the community eco-tourism system has developed sufficient tools to adapt to the temporary effects of COVID-19 derived from the community's self-organization skills and topophilia. Specifically, the community possesses a cohesive social structure, it has a solid cultural identity rooted in its customs and traditions, and maintains a social humour that enables it to see the positive aspects of adversity. On the other hand, the analysis of the measures towards strengthening the resilience to climate change delivers mixed results. In particular, the relationship that the community has built with other local organizations to successfully prevent and react to climate change is weak. Therefore, stronger efforts towards bridging this gap must be implemented in order to sustain the wider social network of such organizations, of which the community is a part. This would enable further development and implementation of appropriate risk management strategies to counteract climate change, enhancing the community's resilience of its eco-tourism system to this emergent threat. Importantly, this finding might be relevant to other local communities seeking to improve their resilience to COVID-19 and climate change.

High crude oil prices and the eventual decline of conventional oil production raise the issue of alternative fuels such as non-conventional oil. The paper describes a simple probabilistic model of the costs of synthetic crude oil (SCO) produced from Canadian oil sands. Synthetic crude oil is obtained by upgrading bitumen that is first produced through mining or in-situ recovery techniques. This forward-looking analysis quantifies the effects of learning and production constraints on the costs of supplying synthetic crude oil from Canadian bitumen deposits. The results show the uncertainties associated with the future costs of synthetic crude oil. Carbon costs have a large impact of the total costs of synthetic crude oil, in particular in the case of synthetic crude oil from in-situ bitumen, due to the carbon-intensity of the recovery techniques. The influence of each parameter on the supply costs is examined. In the case of mined SCO, the maximum production rate, the ultimate recovery rate and the depletion parameters show the largest influence on the results, while learning parameters dominate in the case of in-situ SCO.

This paper reports how endogenous economic growth and technological change have been introduced into a global econometric model. It explains how further technological change might be induced by mitigation policies so as to reduce greenhouse gas emissions and stabilize atmospheric concentrations. These are the first results of a structural econometric approach to modeling the global economy using the model E3MG (energy-environment-economy model of the globe), which in turn constitutes one component in the Community Integrated Assessment System (CIAS) of the UK Tyndall Centre. The model is simplified to provide a post-Keynesian view of the long-run, with an indicator of technological progress affecting each region’s exports and energy use. When technological progress is endogenous in this way, long-run growth in global GDP is partly explained by the model. Average permit prices and tax rates about $430/tC (1995) prices after 2050 are sufficient to stabilize atmospheric concentrations at 450ppm CO2 after 2100. They also lead to higher economic growth.

As we decarbonise societies, we need to consider how such transitions interconnect energy and transport systems. In this Commentary, we argue that we need a better understanding of who may be vulnerable in low-carbon transitions. Current energy poverty definitions and metrics focus overwhelmingly on energy service consumption within the home, yet similar issues in the transport sector are often neglected. Failure to account for the intersections between energy and transport poverty may deepen structural forms of deprivation and worsen social and material inequalities, therefore preventing equitable transitions.

As wind power penetration increases, large wind farms (WFs) need to provide reactive power according to modern grid codes. Permanent magnet synchronous generator-based wind turbines (WTs) can generate reactive power, by assigning the appropriate reactive power to each WT to meet the reactive power requirements of the grid. This is a more economical method than setting up additional reactive power compensation equipment. This study proposes an optimal reactive power dispatch strategy for minimising a levelised production cost, and is implemented in two ways: minimising the power loss of a WF, and maximising the lifetime of WTs. The reactive power references of each WT are chosen as the optimisation variables, and a particle swarm optimisation algorithm is adopted to solve the optimisation problem. The proposed and traditional reactive power dispatch strategies are demonstrated and compared on a WF with 25 WTs to validate the effectiveness of the proposed approach.