Making 'Smart Meters' smarter? Insights from a behavioural economics pilot field experiment in Copenhagen, Denmark

被引:50
作者
Bager, Simon [1 ]
Mundaca, Luis [2 ]
机构
[1] COWI AS, Parallelvej 2, DK-2800 Lyngby, Denmark
[2] Lund Univ, Int Inst Ind Environm Econ, Tegnersplatsen 4,POB 196, S-22100 Lund, Sweden
关键词
Behavioural economics; Demand-side response; Loss aversion; Residential sector; Smart meters; ENERGY-EFFICIENCY GAP; LOSS-AVERSION; DECISION-MAKING; BOUNDED RATIONALITY; ELECTRICITY DEMAND; GRID TECHNOLOGIES; CLIMATE-CHANGE; CONSUMPTION; CHOICE; INFORMATION;
D O I
10.1016/j.erss.2017.04.008
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper examines the relationship between loss aversion and consumer behaviour in a non-price policy intervention that followed the installation of smart meter (SM) technology. Drawing upon insights from behavioural economics, we propose that consumers underestimate potential gains and overestimate potential financial losses resulting from electricity use. To test the hypothesis, we carried out a pilot study involving the installation of SM technology in Copenhagen, Denmark. The analysis used two baselines, and the differential effects revealed that the provision of loss-framed, salient information reduced daily demand by 7-11%, compared to unframed information. Reductions in standby consumption were more pronounced, with a differential effect of 16-25%. Despite the limitations inherent in a pilot study, notably the small sample size, the findings suggest that policies that address SM technology need to consider not only the pure provision of information, but also how it is designed and presented to users. Several aspects for further research are identified.
引用
收藏
页码:68 / 76
页数:9
相关论文
共 121 条
[71]   Customer value of smart metering: Explorative evidence from a choice-based conjoint study in Switzerland [J].
Kaufmann, Simon ;
Kuenzel, Karoline ;
Loock, Moritz .
ENERGY POLICY, 2013, 53 :229-239
[72]   Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior [J].
Kavousian, Amir ;
Rajagopal, Ram ;
Fischer, Martin .
ENERGY, 2013, 55 :184-194
[73]   Cognitive biases in energy decisions during the planning, design, and construction of commercial buildings in the United States: an analytical framework and research needs [J].
Klotz, Leidy .
ENERGY EFFICIENCY, 2011, 4 (02) :271-284
[74]  
Kolstad C, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P207
[75]   Preparing for smart grid technologies: A behavioral decision research approach to understanding consumer expectations about smart meters [J].
Krishnamurti, Tamar ;
Schwartz, Daniel ;
Davis, Alexander ;
Fischhoff, Baruch ;
de Bruin, Waendi Bruine ;
Lave, Lester ;
Wang, Jack .
ENERGY POLICY, 2012, 41 :790-797
[76]   The statistical interpretation of pilot trials: should significance thresholds be reconsidered? [J].
Lee, Ellen C. ;
Whitehead, Amy L. ;
Jacques, Richard M. ;
Julious, Steven A. .
BMC MEDICAL RESEARCH METHODOLOGY, 2014, 14
[77]   ANOMALIES - INTERTEMPORAL CHOICE [J].
LOEWENSTEIN, G ;
THALER, RH .
JOURNAL OF ECONOMIC PERSPECTIVES, 1989, 3 (04) :181-193
[78]   MOTIVATING ENERGY-EFFICIENT BEHAVIOR WITH GREEN IS: AN INVESTIGATION OF GOAL SETTING AND THE ROLE OF DEFAULTS [J].
Loock, Claire-Michelle ;
Staake, Thorsten ;
Thiesse, Frederic .
MIS QUARTERLY, 2013, 37 (04) :1313-+
[79]   Energy behaviours as promoters of energy efficiency: A 21st century review [J].
Lopes, M. A. R. ;
Antunes, C. H. ;
Martins, N. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2012, 16 (06) :4095-4104
[80]  
Lunn P., 2014, Regulatory policy and behavioural economics