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This paper operationalises the capability approach to analyse the tensions and trade-offs in assessing well-being outcomes generated by the production of wind energy, and how these reflect social acceptance at the local level. Specifically, the paper addresses the difficulties in understanding the voice of Indigenous people living near wind energy infrastructure in Southern Mexico and how their conceptions of well-being can be used to estimate the impact of wind energy development on three different communities. The methodology involved a three-stage process that integrated semi-structured interviews, focus groups, a survey, and participatory workshops, involving 450 participants. The findings conclude that community acceptability of energy infrastructure such as wind farms will only be achieved through inclusive community engagement that considers valued ways of being and doing of the local population. These include increasing the opportunities for people to live in good health, skilled employment in the industry, engaging and integrating local culture, values, worldviews and needs, and having a collective approach to the distribution of economic benefits that may strengthen social networks. By focusing on the recognition of valuable human capabilities from a participatory mixed-methods perspective, this paper contributes to a more compelling body of theory on social wind energy impacts that focuses on locally defined priorities and perspectives. Furthermore, this study also shows how the inclusion of community members as co-researchers is crucial to validate and locate local knowledge at the forefront while allowing local stakeholders to exercise greater voice and agency in how the research is conducted and designed. We hope that this methodology can offer useful insights for the design and implementation of future renewable energy projects that have environmental and social sustainability in mind.

Abstract Metalenses are flat lenses, where sub-wavelength, so-called meta-atoms manipulate the electric field to perform a given lens function. Compared to traditional lenses, the two main drawbacks of metalenses are their achromatic limitations and low efficiencies. While an abundance of simulations show that efficiencies above 90% are attainable for low numerical apertures (NA), experimental reports showing such high efficiencies are limited. Here, we use electron-beam lithography (EBL) to realize a set of lenses with varying NA from 0.08 to 0.93. The low NAs were expected to fit the model, and the higher NAs determine the validity range of the model. We find that measured efficiencies above 92% for NA = 0.24 are achievable, and that a slight modification of the simulation model extends its validility to NA = 0.6. Based on our results, we discuss that the lower efficiencies reported in the literature are caused by low-fidelity manufacturing, closing the efficiency gap between measurements and simulation in metalens fabrication.