A multiscale integrated analysis of the COVID-19 restrictions: The energy metabolism of UK and the related socio-economic changes

Andreoni, Valeria

doi:10.1016/j.jclepro.2022.132616

Cited by 9 publications

(6 citation statements)

References 71 publications

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“…Visual comparisons, nevertheless, provide important information regarding the effects of the pandemic. For example, the timing of observed changes in distress in 2020 coincided with the beginning and ending of periods of government-ordered lockdowns in the UK [ 25 ]. The first lockdown began in the last week of March 2020 and continued for approximately three months (through June), at which time the prime minister announced that the period of “national hibernation” was ending, and distress levels decreased for all three age groups.…”

Section: Lockdowns Quarantines and Stay-at-home Orders In The Ukmentioning

confidence: 99%

Distress Signals: Age Differences in Psychological Distress before and during the COVID-19 Pandemic

Hale

Myerson

Strube

et al. 2023

IJERPH

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Psychological distress reached historically high levels in 2020, but why, and why were there pronounced age differences? We address these questions using a relatively novel, multipronged approach, part narrative review and part new data analyses. We first updated previous analyses of national surveys that showed distress was increasing in the US and Australia through 2017 and then re-analyzed data from the UK, comparing periods with and without lockdowns. We also analyzed the effects of age and personality on distress in the US during the pandemic. Results showed distress levels and age differences in distress were still increasing through 2019 in the US, UK, and Australia. The effects of lockdowns in 2020 revealed the roles of social deprivation and fear of infection. Finally, age-related differences in emotional stability accounted for the observed age differences in distress. These findings reveal the limitations of analyses comparing pre-pandemic and pandemic periods without accounting for ongoing trends. They also suggest that differences in personality traits such as emotional stability modulate responses to stressors. This could explain age and individual differences in both increases and decreases in distress in response to changes in the level of stressors such as those occurring prior to and during the COVID-19 pandemic.

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Section: Lockdowns Quarantines and Stay-at-home Orders In The Ukmentioning

confidence: 99%

Distress Signals: Age Differences in Psychological Distress before and during the COVID-19 Pandemic

Hale

Myerson

Strube

et al. 2023

IJERPH

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“…We should note that there are no studies at the regional level of MuSIASEM inside a country. They exist to compare countries [24][25][26][27], to analyze the evolution of a country [28][29][30] or those that exist focus on a specific region [31,32]. For this reason, this work presents a novel tool for electricity planning and focuses on performing a multilevel and multiregional analysis of Mexico, since there are no multilevel-multiregional works within a country, just as there is no MuSIASEM analysis for Mexico.…”

Section: Litereature Reviewmentioning

confidence: 99%

Multilevel and Multiregional Analysis of the Electricity Metabolism of Mexico across Sectors

Guerrero

González-López

2023

Electricity

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This paper presents a novel tool for electricity planning, based on an improvement of MuSIASEM (Multiscale Integrated Analysis of the Societal and Ecological Metabolism) by incorporating a new regional analysis of the electricity metabolism across levels. An analysis of Mexico illustrates this toolkit and shows that the industry sector has economic energy intensity (EEI) with 40.3 MWh/MMXN reaching a higher value than the commerce and services sector with 0.84 MWh/MMXN. Regarding the economic labor productivity (ELP) indicator (AV/h), the industrial sector with 208.5 TMXN/Kh reached a higher value than the commercial and services sector with 114.3 TMXN/Kh. Regarding the exosomatic metabolic rate (EMR), the household sector obtained 59.3 KWh/Kh, whereas the economic sector reached 2486.4 KWh/Kh. Disaggregation of the EMR indicator into economic sectors shows that the industrial sector reached 8.4 KWh/Kh and the commercial and services sector reached 0.10 KWh/Kh. The lack of complete data for the agricultural sector does not allow us to calculate EEI, ELP, and EMR indicators accurately. This innovative approach is useful for governance because it helps us to understand and reduce asymmetries across regions in terms of electricity consumption, resulting in more social equality and a better economic equilibrium across sectors and regions.

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“…COVID-19's crisis and lockdown constraints have lowered activities and energy use. Commercial and public administration operations have increased energy consumption, and the residential sector has gained scale economies [21]. For the COVID-19 situation, a new LM equation was adopted due to changes in diferent loading share types in active and reactive power loading.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Pre- and during COVID-19 Mixed Load Models on Unbalanced Radial Distribution System Using a New Metaphor-Less Rao Optimization

Bhadoriya

Gupta

Khan

2023

International Transactions on Electrical Energy Systems

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An unbalanced electrical distribution system (DS) with radial construction and passive nature suffers from significant power loss. The unstable load demand and poor voltage profile resulted from insufficient reactive power in the DS. This research implements a unique Rao algorithm without metaphors for the optimal allocation of multiple distributed generation (DG) and distribution static compensators (DSTATCOM). For the appropriate sizing and placement of the device, the active power loss, reactive power loss, minimum value of voltage, and voltage stability index are evaluated as a multiobjective optimization to assess the device’s impact on the 25-bus unbalanced radial distribution system. Various load models, including residential, commercial, industrial, battery charging, and other dispersed loads, were integrated to develop a mixed load model for examining electrical distribution systems. The impact of unpredictable loading conditions resulting from the COVID-19 pandemic lockdown on DS is examined. The investigation studied the role of DG and DSTATCOM (DGDST) penetration in the electrical distribution system for variations in different load types and demand oscillations under the critical emergency conditions of COVID-19. The simulation results produced for the mixed load model during the COVID-19 scenario demonstrate the proposed method’s efficacy with distinct cases of DG and DSTATCOM allocation by lowering power loss with an enhanced voltage profile to create a robust and flexible distribution network.

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A multiscale integrated analysis of the COVID-19 restrictions: The energy metabolism of UK and the related socio-economic changes

Cited by 9 publications

References 71 publications

Distress Signals: Age Differences in Psychological Distress before and during the COVID-19 Pandemic

Distress Signals: Age Differences in Psychological Distress before and during the COVID-19 Pandemic

Multilevel and Multiregional Analysis of the Electricity Metabolism of Mexico across Sectors

Analysis of Pre- and during COVID-19 Mixed Load Models on Unbalanced Radial Distribution System Using a New Metaphor-Less Rao Optimization

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