scholarly journals Simultaneous activities in the household and residential electricity demand in Spain

2016 ◽  
Vol 28 (1) ◽  
pp. 175-199 ◽  
Author(s):  
Jacopo Torriti ◽  
Isabel Santiago

Recent research and policy studies on the low-carbon future highlight the importance of flexible electricity demand. This might be problematic particularly for residential electricity demand, which is related to simultaneous consumers’ practices in the household. This paper analyses issues of simultaneity in residential electricity demand in Spain. It makes use of the 2011 Spanish Time Use Survey data with comparisons from the previous Spanish Time Use Survey and the Harmonised European Time Use Surveys. Findings show that media activities are associated with the highest levels of continuity and simultaneity, particularly in the early and late parts of the evening during weekdays.

Author(s):  
Piyadanai Pachanapan ◽  
Panupon Trairat ◽  
Surachet Kanprachar

A residential electricity demand profile is one of the key roles for investigating the impacts of high penetration of low carbon technologies, such as photovoltaic systems and electric vehicles, on distribution networks.  However, it is difficult to identify the true daily electricity consumption of Thailand household, caused by the lack of routine real time demand monitoring and residential electricity meter is normally on monthly which is a low time resolution. In this paper, the CREST Demand Model is employed to simulate a high resolution domestic electricity demand in Thailand, without installing new monitoring devices and customer interruption, through a stochastic process which is a combination of patterns of active occupancy, the outdoor ambient light characteristic and daily activity profiles. Due to the model is based on time use survey data in UK, the outdoor irradiance and appliance configuration are adapted to fit for the Thailand case study. In order to verify the model, the synthetic load profiles by CREST Demand Model is compared against measured data from the actual monitoring in a real low voltage network in Thailand. The results show that it is promising to apply the high resolution demand model by CREST to simulate the domestic electricity demand profiles in Thailand.


Author(s):  
Simona Jokubauskaitė ◽  
Alyssa Schneebaum

AbstractWe propose an improved method to assess the economic value of unpaid housework and childcare. Existing literature has typically assigned a minimum, generalist or specialist’s wage, or the performer’s opportunity cost to the hourly value of these activities. Then it was used to calculate macro-level value based on the number of hours spent in this work. In this paper, instead of imputing an average or minimum wage for housework and childcare to determine a value to the work, we use the actual local wage rate requested for these services from providers on online platforms. Applying this method to Austrian Time Use Survey data shows that the value of unpaid childcare and housework, had it been paid, would be equivalent to about 22% of the 2018 GDP.


2020 ◽  
Author(s):  
Kamila Kolpashnikova

In this paper, I will demonstrate how to create tempograms using the original American Time Use Survey data from the US Bureau of Labor Statistics2. For this project, the 2003-2018sample of diaries is used (file names: atusact0318 and atussum0318).Additionally, I identify the bottleneck, where the performance of Stata’s underlying functions could be optimised to improve the work with time-use data for researchers who use Stata.


2020 ◽  
Vol 36 (4) ◽  
pp. 887-906
Author(s):  
Petrus te Braak ◽  
Joeri Minnen ◽  
Ignace Glorieux

AbstractLike other surveys, time use surveys are facing declining response rates. At the same time paper-and-pencil surveys are increasingly replaced by online surveys. Both the declining response rates and the shift to online research are expected to have an impact on the representativeness of survey data questioning whether they are still the most suitable instrument to obtain a reliable view on the organization of daily life. This contribution examines the representativeness of a self-administered online time use survey using Belgian data collected in 2013 and 2014. The design of the study was deliberately chosen to test the automated processes that replace interviewer support and its cost-efficiency. We use weighting coefficients, a life table and discrete-time survival analyses to better understand the timing and selectivity of dropout, with a focus on the effects of individual time use patterns and the survey design. The results show that there are three major hurdles that cause large groups of respondents to drop out. This dropout is selective, and this selectivity differs according to the dropout moment. The contribution aims to provide a better insight in dropout during the fieldwork and tries to contribute to the further improvement of survey methodology of online time use surveys.


2020 ◽  
pp. 146954052090714
Author(s):  
Marie Plessz ◽  
Stefan Wahlen

Even though we spend less and less time cooking and eating, food consumption remains a corner stone of the temporal organisation of everyday life. This paper is interested in how and to which extent food practices can be described as shared. We situate our investigation at the confluence of practice theories and the empirical analysis of time-use surveys. While qualitative research highlights the interrelations between many activities and agents necessary to consume food, quantitative data, such as time-use surveys, underscore the shared temporality of eating. We ask whether practices are shared beyond being socially recognised and mutually understandable forms of actions. Accordingly, we are interested in how some practices might be described as more shared than others, or shared in different ways? We identify three characteristics of sharedness: participation, commitment and temporal concentration. The latter is a key indicator of dispersed collective activity, inasmuch as participants engage in the practice in similar ways even without coordinating explicitly around it. We measure and compare the characteristics of sharedness by analysing the Dutch time-use survey 2011 (N = 2,005). Such an analysis offers empirical evidence for our characterisation of sharedness by mapping five food-related practices (eating a meal, snacking, cooking, shopping, and cleaning) onto five dimensions of temporality (duration, sequence, periodicity, synchronisation, and tempo). The characteristics of sharedness afford a systematic framework to analyse culture in dispersed collective activity. Our analysis also provides novel vistas to reflect upon power in shared practices by investigating their temporal concentration.


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