Towards a Rigorous Consideration of Occupant Behaviours of Residential Households for Effective Electrical Energy Savings: An Overview

被引:6
作者
Bouktif, Salah [1 ,2 ]
Ouni, Ali [3 ,4 ]
Lazarova-Molnar, Sanja [5 ]
机构
[1] UAE Univ, Dept Comp Sci & Software Engn, Al Ain 15551, U Arab Emirates
[2] UAE Univ, Emirates Ctr Mobil Res ECMR, Al Ain 15551, U Arab Emirates
[3] Univ Quebec, Dept Software Engn, Quebec City, PQ H3C 1K3, Canada
[4] Univ Quebec, IT Ecole Technol Super, Quebec City, PQ H3C 1K3, Canada
[5] Univ Southern Denmark, Maersk Mc Kinney Moller Inst, Campusvej 55, DK-5230 Odense, Denmark
关键词
occupant behavior; household; residential building; household classification; load forecasting; energy savings; CONSUMPTION; PERFORMANCE; SIMULATION; PREDICTION; EFFICIENCY; APPLIANCES; ONTOLOGY; DEMAND; IMPACT; TIME;
D O I
10.3390/en15051741
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
There are two primary ways to save energy within a building: (1) through improving building engineering structures and adopting efficient appliance ownership, and (2) through changing occupants' energy-consuming behaviors. Unfortunately the second way suffers from many challenges and limitations. Occupant behavior is, indeed, a complex and multi-disciplinary concept depending on several human factors. Although its importance is recognized by the energy management community, it is often oversimplified and naively defined when used to study, analyze or model energy load. This paper aims at promoting the definition of occupant behavior as well as exploring the extent to which the latter is involved in research works, targeting directly or indirectly energy savings. Hence, in this work, we propose an overview of interdisciplinary research approaches that consider occupants' energy-saving behaviors, while we present the big picture and evaluate how occupant behavior is defined, we also propose a categorization of the major works that consider energy-consuming occupant behavior. Our findings via a literature review methodology, based on a bibliometric study, reveal a growth of the number of research works involving occupant behavior to model load forecasting and household segmentation. We have equally identified a research trend showing an increasing interest in studying how to successfully change occupant behaviors towards energy saving.
引用
收藏
页数:30
相关论文
共 97 条
[1]   How do socio-demographic and psychological factors relate to households' direct and indirect energy use and savings? [J].
Abrahamse, Wokje ;
Steg, Linda .
JOURNAL OF ECONOMIC PSYCHOLOGY, 2009, 30 (05) :711-720
[2]   Transient and persistent energy efficiency in the US residential sector: evidence from household-level data [J].
Alberini, Anna ;
Filippini, Massimo .
ENERGY EFFICIENCY, 2018, 11 (03) :589-601
[3]   Smart Meter Driven Segmentation: What Your Consumption Says About You [J].
Albert, Adrian ;
Rajagopal, Ram .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (04) :4019-4030
[4]   A review of data-driven building energy consumption prediction studies [J].
Amasyali, Kadir ;
El-Gohary, Nora M. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 81 :1192-1205
[5]  
[Anonymous], 2017, P 8 BALKAN C INFORMA, DOI DOI 10.1145/3136273.3136274
[6]  
[Anonymous], 2013, P 4 INT C FUT EN SYS, DOI 10.1145/2487166.2487175
[7]  
[Anonymous], 2013, ENERGY WATER STAT
[8]  
[Anonymous], 2012, P 4 ACM WORKSH EMB S
[9]  
Arghira N, 2013, ADV INTELL SYST, V187, P251
[10]   Final energy footprints in Zambia: Investigating links between household consumption, collective provision, and well-being [J].
Baltruszewicz, Marta ;
Steinberger, Julia K. ;
Owen, Anne ;
Brand-Correa, Lina, I ;
Paavola, Jouni .
ENERGY RESEARCH & SOCIAL SCIENCE, 2021, 73