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Electric power and broadband have become essential services for modern economies, but utilities face substantial challenges in providing disruption-free access. Recent legislation, including the US Infrastructure Investment and Jobs Act of 2021, has allocated enormous resources toward improving infrastructure systems. Historically, undergrounding has enhanced system reliability but has been cost effective only in densely populated areas. We investigate the conditions under which undergrounding becomes cost effective, particularly when co-deployed with fiber optic lines. We introduce a novel data-driven cost-benefit model and conduct a detailed localized case study in Shrewsbury, Massachusetts. The results indicate that when undergrounding is viable, aggressively co-undergrounding yields the highest net benefit. This finding is robust across various assumptions. Importantly, our model highlights the importance of assumptions regarding undergrounding’s effectiveness in reducing outages. Our model is readily deployable to other study areas, providing effective decision-making capabilities even with limited data. 

Abstract As the global energy sector transitions towards a cleaner and more sustainable future, observational evidence suggests that many new energy technologies share a close relationship with well-established technologies. Yet, the topic of how closely technologies are related has not been addressed rigorously, rather it has been the purview of practitioner know-how and informal expert opinion. In this study, we propose a quantitative method to supplement practitioners’ subjective understanding of the relatedness between technology domains. The method uses patents to represent the position of a technology in knowledge space and calculates the Hausdorff distance between patent domains to proxy the relatedness between technologies. We apply this method to investigate the relatedness of offshore wind energy technology to two more mature domains: onshore wind energy technology and offshore oil and gas technology. We examine the technological relatedness of individual offshore wind components to these two technologies, and represent the changes in relatedness through time. The results confirm that offshore wind components such as foundations, installation, and maintenance are more related to the offshore oil and gas industry; while other components, such as rotors and nacelles, are more related to onshore wind energy. The results also suggest that many offshore wind energy components are becoming less related through time to both of these domains, possibly indicating increasing innovation. This method can provide quantitative parameters to improve the modeling of technological change and guide practitioners in strategic decision-making regarding the positioning of industries and firms within those industries. 

Energy equity and justice have become priority considerations for policymakers, practitioners, and scholars alike. To ensure that energy equity is incorporated into actual decisions and analysis, it is necessary to design, use, and continually improve energy equity metrics. In this article, we review the literature and practices surrounding such metrics. We present a working definition for energy justice and equity, and connect them to both criteria for and frameworks of metrics. We then present a large sampling of energy equity metrics, including those focused on vulnerability, wealth creation, energy poverty, life cycle, and comparative country-level dynamics.We conclude with a discussion of the limitations, gaps, and trade-offs associated with these various metrics and their interactions thereof. 

Adeno-associated virus (AAV) capsids are among the leading gene delivery platforms used to treat a vast array of human diseases and conditions. AAVs exist in a variety of serotypes due to differences in viral protein (VP) sequences, with distinct serotypes targeting specific cells and tissues. As the utility of AAVs in gene therapy increases, ensuring their specific composition is imperative for correct targeting and gene delivery. From a quality control perspective, current analytical tools are limited in their selectivity for viral protein (VP) subunits due to their sequence similarities, instrumental difficulties in assessing the large molecular weights of intact capsids, and the uncertainty in distinguishing empty and filled capsids. To address these challenges, we combine two distinct analytical workflows that assess the intact capsids and VP subunits separately. First, selective temporal overview of resonant ions (STORI)-based charge detection-mass spectrometry (CD-MS) was applied for characterization of the intact capsids. Liquid chromatography, ion mobility spectrometry, and mass spectrometry (LC-IMS-MS) separations were then used for capsid denaturing measurements. This multi-method combination was applied to 3 AAV serotypes (AAV2, AAV6, and AAV8) to evaluate their intact empty and filled capsid ratios and then examine the distinct VP sequences and modifications present.