Abstract Smart home technology (SHT) is increasingly entering homes to provide services such as energy management, security, comfort, and convenience. However, research shows that adoption varies across social groups SHT might affect demand. Denmark considered a frontrunner in the uptake of offers unique opportunity combine administrative household information with consumption data survey responses on uptake. This paper studies representative sample 1,468 Danish households investigate...

We estimate the price elasticity of residential district heating demand in Denmark using Blundell–Bond two-step generalized method moments (GMM) estimator and a sample 152,913 observations covering period 2015 to 2019. Moreover, we analyze heterogeneity response increases among various household groups investigate distributional consequences policies that increase heating. To this end, measure effects on bills, consumption, emissions. find short-run −0.530 long-run −0.638. Higher consumption...

Abstract With the envisioned growth in residential electricity demand and increased share of intermittent renewables supply mix, consumers will need to be better informed about their consumption play an active role managing use. However, consumer inattention lack information are ubiquitous, especially household energy‐related settings. Thus, using a novel survey actual monthly data, this study set out measure level awareness bills, prices costs among some Finnish households—as captured by...

The objectives of this study are to provide new insights on (i) the drivers changes in final energy consumption Italy over period from 1995 2015 by employing a multi-sectoral decomposition analysis approach – Logarithmic Mean Divisia Index I (LMDI-I); and (ii) progress toward indicative efficiency mandatory energy-saving targets set for 2020. results show that 2015, an increase caused activity effects has been almost totally offset structural changes. Energy intensity improvements occurred...

Abstract We provide new insights into (i) the level of energy‐related financial literacy in Finnish households, (ii) sociodemographic characteristics that affect literacy, and (iii) whether influences household electricity consumption. use a data set consisting questions combined with monthly consumption data. draw from recent literature on suggest two variables based subjective perceptions literacy. Gender has strong association Our results also indicate households respondents higher levels...

Large-scale deployment of battery electric vehicles (BEVs) is strategically important for the transition toward a low-carbon economy. Denmark has traditionally stimulated BEV diffusion through registration tax exemption that was lifted in 2016 and partially reintroduced 2018. Exploiting car detailed population data covering period 2013–2019 using Bayesian additive regression trees, this paper provides new evidence on (i) effects changes adoption BEVs Denmark, (ii) socioeconomic factors...

A key aspect of the design specific tariff structures is to identify and characterize homogeneous electricity consumption profiles. Recent research in residential demand has explored load profile segmentation via cluster analysis combined with descriptive data from dwelling occupants, which partly explained patterns their underlying drivers but failed investigate any heterogeneity among similar households. Thus, aim this paper reverse approach extent that households characteristics have...

Abstract High-quality data on indoor climate and energy collected in buildings is required to deepen our understanding of building performance. The aim this work was investigate the relationship between outdoor Danish residential buildings. Field 45 apartments from April 2019 November 2020. Internet things (IoT) devices were installed record temperature, relative humidity CO 2 concentration central corridor each apartment. High (above 1,000ppm) overheating observed apartments. changeover...

The aim of this work is to define profiles the indoor climate in Danish multifamily residential buildings. Measurements temperature, relative humidity and CO2 concentration were conducted every five minutes for more than a year 45 apartments using internet things sensing devices. Cluster analysis was employed derive profiles. relationship between outdoor analysed through piecewise linear regression. Three different identified, as well heating schedule setpoint temperatures, which may be...