Overview of Residential Energy Feedback and Behavior-based Energy Efficiency

2011 ◽  
Author(s):  
none,
Author(s):  
Abbie J. Shipp

Temporal focus is the individual tendency to characteristically think more or less about the past, present, and future. Although originally rooted in early work from psychology, research on temporal focus has been steadily growing in a number of research areas, particularly since Zimbardo and Boyd’s (1999) influential article on the topic. This chapter will review temporal focus research from the past to the present, including how temporal focus has been conceptualized and measured, and which correlates and outcomes have been tested in terms of well-being and behavior. Based on this review, an agenda for research is created to direct temporal focus research in the future.


2020 ◽  
Vol 12 (19) ◽  
pp. 8016
Author(s):  
Feng Wang ◽  
Min Wu ◽  
Jiachen Hong

To achieve the national carbon intensity (NCI) target, China should adopt effective mitigation measures. This paper aims to examine the effects of key mitigation measures on NCI. Using the input-output table in 2017, this paper establishes the elasticity model of NCI to investigate the effects of industrial development, intermediate input coefficients, energy efficiency, and residential energy saving on NCI, and further evaluates the contributions of key measures on achieving NCI target. The results are shown as follows. First, the development of seven sectors will promote the increase of NCI while that of 21 sectors will reduce NCI. Second, NCI will decrease significantly with the descending of intermediate input coefficients of sectors, especially electricity production and supply. Third, improving energy efficiency and residential energy saving degree could reduce NCI, but the latter has limited contribution. Fourth, the development of all sectors will reduce NCI by 10.11% in 2017–2022 if sectors could continue the historical development trends. Fifth, assuming that sectors with rising intermediate input coefficients would keep their coefficients unchanged in the predicting period and sectors with descending coefficients would continue the historical descending trend, the improvement of technology and management of all sectors will reduce NCI by 14.02% in 2017–2022.


Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2416
Author(s):  
Marina Dorokhova ◽  
Fernando Ribeiro ◽  
António Barbosa ◽  
João Viana ◽  
Filipe Soares ◽  
...  

The energy efficiency requirements of most energy-consuming sectors have increased recently in response to climate change. For buildings, this means targeting both facility managers and building users with the aim of identifying potential energy savings and encouraging more energy-responsible behaviors. The Information and Communication Technology (ICT) platform developed in Horizon 2020 FEEdBACk project intends to fulfill these goals by enabling the optimization of energy consumption, generation, and storage and control of flexible devices without compromising comfort levels and indoor air quality parameters. This work aims to demonstrate the real-world implementation and functionality of the ICT platform composed of Load Disaggregation, Net Load Forecast, Occupancy Forecast, Automation Manager, and Behavior Predictor applications. Particularly, the results obtained by individual applications during the test phase are presented alongside the specific metrics used to evaluate their performance.


2012 ◽  
Vol 575 ◽  
pp. 122-125
Author(s):  
Juan Wang

Inner Mongolia mostly belongs to the rural residence building, no any relevant construction standard and building energy efficiency standards. Most of the farmers in build houses without considering building energy problems. This article through to a rural residential energy conservation calculation and analysis, and obtain the energy-saving index.


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