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This paper proposes a computational process development capable of filling the electric power sector shortage regarding voltage non-conformities identification in electric distribution power grid accounting for loads dynamic behavior at medium and low voltages. Actual distribution power grid data are used, with georeferencing to signal voltage transgressions locations, generate a report with voltage transgression indices and financial reimbursement values provided by legislation. The methodology compares regulatory requirements and makes available in software some possible actions in an attempt to adjust voltage levels, avoiding inconvenience and penalties for energy utilities providers. The method involves a data extractor construction for electricity provider company’s databases, computer simulations and comparison of obtained results with values established in electricity quality control standards. Thus, finding non-conformity locations and determining network adjustments to correct tension indexes in permanent regulation. The proposal features a reduction in electricity utilities operating costs, increasing efficiency in operation and energy quality available to consumers.

Abstract This paper proposes a new approach to deal with the problem of building national energy efficiency (EE) plans, considering multiple objectives instead of only energy savings. The objectives considered are minimizing the influence of energy use on climate change, minimizing the financial risk from the investment, maximizing the security of energy supply, minimizing investment costs, minimizing the impacts of building new power plants and transmission infrastructures, and maximizing the local air quality. These were identified through literature review and interaction with real decision makers. A database of measures is established, from which millions of potential EE plans can be built by combining measures and their respective degree of implementation. Finally, a hybrid multi-objective and multi-criteria decision analysis (MCDA) model is proposed to search and select the EE plans that best match the decision makers’ preferences. An illustration of the working mode and the type of results obtained from this novel hybrid model is provided through an application to Portugal. For each of five decision perspectives a wide range of potential best plans were identified. These wide ranges show the relevance of introducing multi-objective analysis in a comprehensive search space as a tool to inform decisions about national EE plans.

This article explores the evolution of the nuclear energy debate and its associated controversies in the Portuguese parliament. The analysis focuses on the dictatorial regime of the New State (from the beginning of the nuclear program in 1951 until the 1974 revolution) and on the democratic period (post-1974). Portugal, as an exporting country of uranium minerals, significantly invested in the development of a national capacity in nuclear research, but never developed an endogenous nuclear power infrastructure. Through the analysis of parliamentary debates, this article characterizes the dynamic evolution of the Portuguese sociotechnical imaginary on nuclear energy and technology interlinked with ambivalent representations, including the promise of nuclear energy as key for the constitution of a technological Nation or as prompting new sociotechnical risks.

The effect of energy policies on the energy performance of residential properties/houses in nineteen Portuguese districts from 2014 to 2021 was investigated. A linear random-effects model regression was used as the method in this empirical investigation. The empirical results indicated that the income per capita has a negative effect on residential properties with high energy efficiency certificates (e.g., A+, A, and B) and a positive impact on residential properties with low energy efficiency certificates (e.g., C, D, E, and F); the codes and standards energy policies for energy efficiency have a positive effect on residential properties with high energy efficiency certificates (e.g., A, B, and B−) and residential properties with low energy efficiency certificates (e.g., C, D, E, and F); the fiscal and financial incentive policies for energy efficiency have a positive effect on residential properties with high energy efficiency certificates (e.g., A+, A, and B) and a negative effect on residential properties with B− energy certificate, and also a negative effect on residential properties with low energy efficiency certificates (e.g., C and D) and a positive effect on residential properties with an F energy certificate; the information and education policies of energy efficiency have a positive effect on residential properties with high energy efficiency certificates (e.g., A+, A, and B) and residential properties with low energy efficiency certificates (e.g., C, D, and E); and, finally, the consumer credit per capita has a positive effect on residential properties with high energy efficiency certificates (e.g., A+, A, and B) and a negative effect on residential properties with low energy efficiency certificates (e.g., C, D, and F), as well as a positive effect on residential properties with an F energy certificate.

Abstract The promotion of a reliable and sustainable power system has as key drivers the development of smart grids associated with demand-side management schemes, diffusion of electric mobility, integration of larger shares of distributed (micro)generation, and the introduction of storage systems. In addition, these technological developments represent new business opportunities for several players, which should be considered by regulatory guidelines accounting for technical efficiency, economic feasibility and tariff affordability. The technical and economic characteristics of the electricity sector do not induce that the process of technological innovation happens in an endogenous manner within the sector dynamics. Therefore, public policies have a role to play in this process. This work presents an approach using Problem Structuring Methods to frame the problem of analyzing and evaluating technological innovations and associate incentive policies in the electricity sector. The results of this structuring phase using Soft Systems Methodology under different perspectives suggest a large number of issues to be taken into account that were organized as a hierarchy of objectives. These objectives correspond to the criteria of a multicriteria decision analysis model to assess policies promoting technological innovations. This methodology provides decision support to decision makers to shape policies aimed at fostering more reliable and sustainable electricity systems.

Corporate social responsibility (CSR) and business ethics are perceived as distinct constructs by the consumer, although research from this perspective is scarce. Thus, the objective of this study is to investigate the impact of CSR and business ethics on brand fidelity. A theoretical review of CSR, business ethics, brand attitude, brand love, and brand fidelity was undertaken. From these constructs, a theoretical model was proposed, conducting an empirical study with a sample of 559 North American respondents. Through the statistical treatment of data with PLS-SEM, it was demonstrated that business ethics and CSR exert an indirect positive effect on brand fidelity, with relationships mediated by brand love. In turn, brand attitude exerts an indirect effect on brand fidelity, through the mediation of brand love. Based on the results, this study contributes to the approach of CSR and business ethics as distinct constructs and to the consolidation of the brand fidelity construct and its relationships. For management, this study helps organizations to perceive CSR and business ethics as important allies in a brand’s strategy. We conclude that although CSR remains important, customers value business ethics as a critical factor in their perceptions of the brand, contributing more strongly to brand fidelity.

Prior and ongoing COVID-19 pandemic restrictions have resulted in substantial changes to everyday life. The pandemic and measures of its control affect mental health negatively. Self-reported data from 15,375 participants from 23 countries were collected from May to August 2020 during the early phases of the COVID-19 pandemic. Two questionnaires measuring anxiety level were used in this study—the Generalized Anxiety Disorder Scale (GAD-7), and the State Anxiety Inventory (SAI). The associations between a set of social indicators on anxiety during COVID-19 (e.g., sex, age, country, live alone) were tested as well. Self-reported anxiety during the first wave of the COVID-19 pandemic varied across countries, with the maximum levels reported for Brazil, Canada, Italy, Iraq and the USA. Sex differences of anxiety levels during COVID-19 were also examined, and results showed women reported higher levels of anxiety compared to men. Overall, our results demonstrated that the self-reported symptoms of anxiety were higher compared to those reported in general before pandemic. We conclude that such cultural dimensions as individualism/collectivism, power distance and looseness/tightness may function as protective adaptive mechanisms against the development of anxiety disorders in a pandemic situation.