Reducing Household Energy Consumption Research Articles

What’s the difference between factors influencing household waste management and energy-saving behavior? A meta-analysis

PurposeThis study aims to identify the key factors that influence household pro-environmental behaviors (HPEBs) and explore the differences caused by the same influencing factors between household waste management behavior (HWM) and household energy-saving behavior (HES).Design/methodology/approachA meta-analysis was conducted on 90 articles about HPEBs published between 2009 and 2023 to find the key factors. HPEBs were further categorized into HWM and HES to investigate the difference influenced by the above factors on two behaviors. The correlation coefficient was used as the unified effect size, and the random-effect model was adopted to conduct both main effect and moderating effect tests.FindingsThe results showed that attitude, subjective norms, and perceived behavioral control all positively influenced intention and HPEBs, but their effects were stronger on intention than on HPEBs. Intention was found to be the strongest predictor of HPEBs. Subjective norms were found to have a more positive effect on HES compared to HWM, while habits had a more positive effect on HWM. Furthermore, household size was negatively correlated with HWM but positively correlated with HES.Originality/valueThe same variables have different influences on HWM and HES. These results can help develop targeted incentives to increase the adoption of HPEBs, ultimately reducing household energy consumption and greenhouse gas emissions and contributing to the mitigation of global warming.

Energy demand and carbon emission analyses of a solar-driven domestic regional environment mobile robot as household auxiliary heating and cooling method

Under the trend of energy saving and carbon reduction, reducing household energy consumption, which is an important part of social energy consumption, has become a hot topic. In order to solve the problem of mismatch between supply and demand of household environment control systems as well as to better meet the individual needs of users, we innovatively designed a solar-driven domestic regional environment mobile robot as auxiliary heating and cooling method. In this paper, a simplified thermal network analysis of the thermal conditions of a dwelling is utilized to calculate the energy saving and carbon reduction potential on summer and winter reference days in Beijing and Guangzhou, China. The simulation results show that the system has good energy saving potential and carbon reduction effect. In particular, the single-day energy saving potential of the system on winter days in Beijing reaches to 583.6 kWh compared to the traditional method. Under the power supply mode, the single-day carbon reduction can reach 462 kg CO2 on winter days in Guangzhou, and it can reach 333.2 kg CO2 on summer days in Beijing. We also discuss the effect of regional space size and clothing thermal resistance. As the local space size and the clothing thermal resistance increases, the energy saving potential and carbon reduction benefits of the system decrease, but the overall impact is small. The proposed mobile robot following in the vicinity of home inhabitants to help maintain their thermal comfort, can improve the efficiency of dwellings heating and cooling systems and utilize the limited solar energy resources in family area.

Carbon reduction potential of housing retrofits: Evidence from China

Carbon emissions have become a major contributor to global climate change, with the building sector representing one-third of the global energy demand, and the residential sector accounting for 70 % of final energy demand worldwide. The energy consumption for building cooling has grown rapidly in recent years. Housing retrofits have shown potential in improving building energy efficiency and thus aligning with objectives for energy-saving and carbon emissions reduction in the residential sector. Based on survey data from 28 provinces in China, this study estimates the impacts of housing retrofits on the building energy consumption for air conditioners, as well as impacts on the resulting carbon emissions. Employing Endogenous switching regression to mitigate self-selection bias and the consequent endogeneity problem, the analysis reveals that housing retrofits can reduce building energy consumption and consequent carbon emissions. Furthermore, factors including household characteristics, building attributes and geographic location can influence both residential energy consumption and carbon emissions. In addition, low-income households, families with children and those living in self-owned houses can benefit the most from housing retrofits. This study also offers recommendations to reducing household energy consumption and carbon emissions through improved renovation practices. These insights are instrumental for policymakers in identifying targeted policy objectives across diverse demographic groups. The findings hold relevance for other developing countries with large amounts of inefficient housing stock during rapid urbanization, and those prone to global warming, aiding their pursuit of Sustainable Development Goals.

Energetic and Functional Rehabilitation of Residential Buildings in Europe: Analysis and Cataloguing of the Strategies Used

The aim of this paper is to explore the rehabilitation strategies for multi-family dwellings on the level of function and techniques. The study employs its own methods of analysis using a sample of selected cases as a reference. Nearly 20% of EU buildings will have to be renovated by 2023, as almost 40% of the existing houses were built before 1980. The environmental impact of construction is among the highest among industrial activities due to the high consumption of resources and the generation of low-value waste at the construction and demolition stages. One way to reduce the environmental impact in this sector is to intervene in the building process, optimising the use of resources and waste generation. The principal objective of refurbishments is to reduce household energy consumption. However, the renovations in the housing sector should not be limited to energy considerations; the functional and technical aspects should also be considered. A new refurbishment model is necessary to focus on providing and improving the habitability of the housing stock and reducing the environmental impact by optimising the use of resources and waste generation. To achieve this, the renovations should be carefully monitored.

Enhanced radiative cooling with Janus optical properties for low-temperature space cooling

Abstract Passive daytime radiative cooling that could provide sub-ambient cooling emerges as a promising technology to reduce household energy consumption. Nonetheless, prevailing studies are predominantly focused on surface cooling, often overlooking its adaptability to enclosed spaces with active cooling technologies. Here we present a multilayer radiative cooling film (J-MRC) with Janus optical properties in the mid-infrared region, consisting of the nanoporous polyethylene films, the polyethylene oxide film, and silver nanowires. The top side of the J-MRC functions as a conventional radiative cooling material to supply sub-ambient surface cooling, while the bottom side with low mid-infrared emissivity transfers limited heat via thermal radiation to the low-temperature enclosures. Our experiments validate that the J-MRC possesses an enhanced space cooling performance in comparison to the conventional radiative cooling film. This work provides a valuable design concept for radiative cooling materials, thereby expanding their practical scenarios and contributing to reduce the carbon emission.

Can financial technology development reduce household energy consumption? Evidence from China.

This paper examines whether financial technology (FinTech) development affect household energy consumption. The proposed point that FinTech can reduce household energy consumption is theoretically discussed and empirically tested using data from the 2017 Digital Financial Inclusion Index, the 2018 China Family Panel Studies (CFPS), the 2018 China Environmental Statistical Yearbook and the 2018 China Science and Technology Statistical Yearbook. The results show that FinTech contributes to reducing household energy consumption. Several retests, including the instrumental variable, replacement sample and propensity score matching methods, prove its robustness. Mechanism tests show that investment in environmental governance and technological innovation promotion are the two main transmission channels. We also find that the reducing effect is more significant in the following groups: the low-middle income level classes, the eastern regional residents, those with bachelor's degrees and above, the those aged over 60 and rural residents. The outcomes of this paper call for government departments to positively guide FinTech development to reduce household energy consumption. From another perspective, the conclusions drawn from our analysis make a great reference value for countries and provide new ideas for Chinese carbon peaking and carbon neutralisation goals.

Assessment of Energy and Heat Consumption Trends and Forecasting in the Small Consumer Sector in Poland Based on Historical Data

The paper outlines the methodology employed for desk-based research, which involved gathering and analyzing empirical data on energy and heating consumption in the Polish small consumer sector. Secondary sources, including reports, documents, scientific publications, and public statistics, were utilized to ensure a comprehensive understanding of the subject matter. The research methodology ensured the acquisition and examination of reliable and extensive data regarding energy and heat consumption among small consumers in Poland. The study investigated consumption trends of hard coal, electricity, and natural gas in Polish households from 2006 to 2021. The findings revealed an increasing pattern in electricity and natural gas consumption, alongside a simultaneous decline in the usage of hard coal. Future consumption was estimated using trend models, and factors contributing to changes in energy consumption patterns were examined, with forecasts to 2027. To achieve decarbonization and address climate objectives, the study underscores the need to increase the proportion of renewable energy sources and boost energy efficiency. The significance of reducing household energy consumption through enhanced insulation, smart energy management systems, and low-carbon alternatives is emphasized. Additionally, the study addresses Poland’s future energy plans as a proactive step toward decarbonizing the national economy. In summary, the study furnishes valuable insights into energy consumption trends and their determinants in the Polish small consumer sector.

Understanding domestic consumer attitude and behaviour towards energy: A study on the Island of Ireland

Attitudes towards renewable technologies and knowledge about energy consumption influences the adoption of sustainable energy systems across power, heat and transport. Research suggests that behavioural change strategies could accelerate the transition towards net-zero by reducing household energy consumption, increasing the uptake of energy efficient technologies and optimising consumption patterns. In tandem, emerging markets and business models facilitated by energy decentralisation and digitalisation give consumers more control over their home energy management and adopt more energy efficient behaviours. This empirical study seeks to determine the level of awareness of domestic consumers on the island of Ireland, which makes for an interesting case study due to the existence of a single electricity market with a dichotomic regulatory regime. This survey is critical to engineers, industry and other stakeholders in understanding the implications of climate policy aspirations and targets as society transitions towards carbon neutrality. A questionnaire was issued to a sample of 1,373 respondents in March 2022, facilitated by a third-party survey provider. The questionnaire had 40 questions composed of multiple-choice and single-answer format; questions covered participants’ sociodemographic attributes, their willingness to adopt new technologies and services and their eco-credentials. The results identify the strengths, weaknesses and opportunities for householders to adopt more efficient household energy behaviours and attitudes towards smart energy technology and their carbon footprint. This study explores the emerging, yet significant role of domestic consumers in an equitable transition to a sustainable future.

The utility of using a top-down conduct-of-life-based approach for explaining energy consumption behaviour: evidence from Switzerland

Programmes for reducing household energy consumption have so far shown only minor effects. The literature offers many explanations for this, such as rebound effects, efficiency paradox and culturally rooted daily routines. In addition, interventions are often designed in a one-size-fits-all manner and do not account for societal differences through segmentation and tailored interventions. One of the challenges associated with the implementation of tailored interventions is the lack of agreement on how to identify societal segments, and the lack of clarity on which segment should be addressed by which type of intervention. Against this backdrop, we explore the applicability of the theory-driven Otte conduct of life segmentation with three energy consumption behaviours. Utilizing survey data from 5015 respondents, we demonstrate that there are significant conduct-of-life-specific differences in showering, endowment with information and entertainment electronics and air travel. The only two conduct of life groups who demonstrate consistent behavioural patterns across the three behaviours are the reflexives, who consistently over-consume, and conventionalists, who consistently under-consume energy. We put forward suggestions on how to apply our findings to tailor interventions.

Rural residential energy-saving in China: Role of village morphology and villagers’ daily activities

The impact of village morphology on habitats' daily spatiotemporal behavior and building energy consumption is still vague. This research aims to propose a method to reveal how and to what extent village morphology and residents' demographic structure influence farmhouses' occupancy rate and energy consumption. For this purpose, a combined time geography and building energy consumption method was proposed to disclose the relationship among residents' family roles, village morphology and household energy consumption. To explore the occupancy rate of farm-houses with different family members in different village morphology, resident types based on field research (retrospective interviews and aggregation behavior observation) were formulated. Residents with similar time-space behavior seemed as an “agent” and then a specified number of agents are combined into different families for ideal experiments. By placing different households in different villages for multi-factor cross-experiment, the occupancy rates of different households are obtained based on individual time-space behavior patterns, and then the energy consumption of each household under different scenarios is obtained by combining building energy consumption simulation. In addition, the relationship between resident's disposable personal time, local public space’ quality, and the house occupancy rate was analyzed. Combined with a case study in Shanghai with 417 valid questionnaires, it can be seen that the method proposed in this paper is effective and villages with high quality public space have the potential to reduce household energy consumption from 2.17% to 38.82% for diverse families. The quantitative result indicated that the occupancy rate is mainly influenced by residents having more disposable personal time, and such space-time behavior is sensitive to village morphology. This study proposed a combined method and case evidence to systematically analyze the complex relationship between resident behavior, the village morphology, and household energy consumption, thus contributing to the sustainable plan and design of the community spatial system.

Do more efficient buildings lead to lower household energy consumption for cooling? Evidence from Guangzhou, China

Over the last decade, residential energy consumption has become a major contributor to global energy use and carbon emissions, and its contributions, especially in developing regions, are accelerating more rapidly than those of the industrial sector. The energy efficiency of the building stock has shown great potential for reducing household energy consumption through advanced measures on the envelopes of buildings, such as the use of advanced construction materials and improvements in building structures. Thus, policies have been implemented to improve energy efficiency and reduce carbon emissions from buildings. This paper analyses survey data from Guangzhou, a megacity with a subtropical climate in South China, to estimate the effects of energy efficiency on the energy consumption of residential buildings. We apply an econometric approach to examine the effects of energy efficiency, and we employ instrumental variables to address problems of endogeneity. The results show that greener buildings, in terms of advanced building materials and structures oriented towards high energy efficiency, reduce the carbon footprints of households. Additionally, households with low income levels and those with environmentally friendly energy consumption behaviour are likely to benefit from living in energy efficient buildings more than other households. Finally, suggestions on ways to improve energy policy and methods to reduce household energy consumption and carbon (CO2) emissions are presented.

Satisfied with Energy: Reducing Household Energy Consumption? Evidence from 37 Nations

Satisfied with Energy: Reducing Household Energy Consumption? Evidence from 37 Nations

Evaluation of Home Energy Efficiency Improvements in a Hot Desert Climate in Northwestern Mexico: The Energy Saving vs. Money Saving Conflict

Reducing household energy consumption is one of the most important strategies used to decrease fossil fuel consumption and greenhouse gases emissions, and to encourage renewable energy utilization. Most energy conservation strategies in the domestic sector are aimed at preferential loans, i.e., purchasing renewable electricity or to improve the efficiency of home appliances, such as air conditioning and lighting. However, despite the relative economic successes of these technologies, they have not had expected impacts in regard to energy consumption. In this work, the authors analyzed the consumption patterns of two equivalent households—one was adapted with improved thermal insulation and a 1.2 kW photovoltaic system to reduce consumption from the electrical grid. The results show that dwellings where no improvements were made registered lower electric energy consumption, due the fact that users were aware that no strategy had been implemented, and its consumption; hence, electricity payments depended solely on one’s attention over the electronic device operations. On the other hand, energy conservation strategies in households promotes confident and relaxed attitudes toward the use of energy, leading to lower energy billings, but a higher gross energy consumption.

Why Low-Carbon Publicity Effect Limits? The Role of Heterogeneous Intention in Reducing Household Energy Consumption

Low-carbon knowledge is seen as having a key role in interfering with household energy consumption behaviors by wide consensus from political and academic areas. Whether low-carbon publicity will help to reduce household energy consumption is still in dispute. By constructing an integrated knowledge-intention-behavior model and using 1335 detailed survey questionnaires of household energy behavior in Henan Province, the central area in China, this paper finds that in the developing area low-carbon knowledge or publicity cannot positively impact household energy-saving behavior even if mediated by energy awareness and energy-saving attitudes. Low-carbon knowledge does improve energy-saving attitude and attitude does not decrease household energy consumption directly. Familiarity with particular energy-saving knowledge would decrease the household energy consumption but not significantly in the statistics. Path analysis unfolds the reason that the heterogeneous effects of purchase-based intention and habitual intention explain energy consumption behavior. Subgroup analysis supports those economic factors of income and energy prices play key roles in explaining such household energy consumption behavior in the rapid urbanization area. This paper gives new evidence on the residential energy-saving behavior intervention among developing areas.

Reducing Peak Energy Demand among Residents Who Are Not Billed for Their Electricity Consumption: Experimental Evaluation of Behaviour Change Interventions in a University Setting.

Behaviour change interventions aiming to reduce household energy consumption are regarded as an effective means to address disparities between demand and supply and reduce emissions. Less recognised is their success in shifting consumers’ energy consumption from peak demand periods to off-peak times of the day. This study reports two experiments that test the effect of feedback and reminder notifications on energy consumption in university halls-of-residence. A quasi-experiment and a randomised controlled experiment were conducted with residential students to evaluate behaviour change interventions aimed at reducing daily peak and critical peak demand, respectively. The results of Experiment One (n = 143) demonstrated significant reductions in the energy use of the treatment group relative to the control. On average, the treatment group’s energy use was 12.4 per cent lower than their pre-intervention baseline. In Experiment Two (n = 88), normative elements of the intervention were supplemented with a reminder notification prior to the onset of the simulated critical peak demand period. The results showed that, relative to the control condition, the 8-h notification reduced demand by 20% on average with a 12% decrease for the 24-h notification (with 2-h follow-up). These results indicate that peak energy issues can be alleviated using low-cost and easily implemented behaviour change strategies.

On the role of present bias and biased price beliefs in household energy consumption

The intermittency of energy billing may give rise to different biases or misperceptions, such that household energy demand deviates from its true optimum. This study investigates such deviations by linking variation in present-biased preferences and energy price beliefs to variation in energy consumed. Using both a survey and incentivized experiments, we gather measures of present bias as well as price beliefs, and observe participants’ true electricity consumption. Our main finding is that participants with present bias are predicted to consume on average 9 to 10 percent more electricity than participants with time-consistent discounting. Our results further suggest that neither the true marginal electricity price nor the perceived marginal electricity price can predict electricity consumption. These findings raise doubt as to the effectiveness of classic price-based policies in reducing household energy consumption.

Saving energy at home: Exploring the role of behavior regulation and habit

AbstractGlobal demand for energy, environmental concerns over power generation emissions, and rising household energy costs have heightened interest in exploring ways to reduce energy consumption. Numerous approaches have been adopted, including those that build on the important recognition of consumer intentions as a predictor of behavior. However, the literature suggests intentions only moderately explain behavior. Thus, there is a case for further research to explore how the intention to behavior relationship can be strengthened. In response, this study contributes to a better understanding of how to reduce household energy consumption, by investigating the direct, and moderating effects integrated regulation and external regulation, as well as habit, have on the relationship between intention and behavior. The study draws on a large sample of household energy consumers who completed online surveys two months apart. The findings reveal a strong indirect relationship between integrated regulation and behavior through intention, and a significant, direct, and negative relationship between external regulation and behavior. While external regulation moderated the positive relationship between intentions and behavior, the moderating effects of integrated regulation and habit were not significant. Further, a direct effect for habit on behavior was found. These findings suggest regulation types play different roles in affecting consumer intentions and behavior, and support the importance of habit as a predictor of energy consumption.

Environmental saving potentials of a smart home system from a life cycle perspective: How green is the smart home?

By improving energy management, smart home applications may reduce household energy consumption. This study therefore examines environmental saving potentials of a smart home system (SHS) with smart heating in Germany from a life cycle perspective. Research on the energy saving potential of an SHS usually focuses on single applications rather than the entire system and hence misses life cycle impacts of the system itself. To overcome this limitation, this study takes an interdisciplinary user-driven approach. We conduct an LCA of an average SHS in Germany that includes smart heating for five heating energy saving scenarios. The components of a representative SHS were determined by an online survey among users of smart homes with smart heating (N = 375) in Germany. As a precondition, net savings can only be achieved when the environmental effects from savings in household heating energy exceed the effects from producing and operating an SHS. The results of our case study for the impact categories Climate Change (GWP), Primary Energy Demand (PED), Abiotic Depletion (ADP) and Ecotoxicity (Ecotox) are heterogeneous: we show that savings of GWP and PED can be achieved by an SHS that includes smart heating. However, minimum savings of 6% of annual heating energy over 3.1 years for PED and over 2.4 years for GWP need to be realised by an SHS in order to exceed the environmental effects caused by their production and operation. For ADP and Ecotox, the smart home represents a further environmental burden. We show that including both the life cycle perspective and user-driven parameters is crucial when determining the total environmental effects of smart homes. Future research should further explore these links between the user perspective and LCA.

Exploring the Influencing Paths of Behavior-driven Household Energy-saving Intervention – Household Energy Saving Option (HESO)

Given the rapid increase of residential energy consumption worldwide, promoting energy-saving behaviors in residential buildings is essential. To address this issue, this research provides an assessment of the impact of — Household Energy-Saving Option (HESO), an innovative intervention to promote energy conservation, on household energy-saving behaviors. The proposed research model was tested using 101 valid questionnaires from households in Singapore. The results indicate that HESO effectively encouraged household energy-saving behaviors. The determinants of the energy-saving intention and behaviors under the influence of HESO were further investigated from the perspective of behavioral theories by structural-equation modelling. The results showed that personal norm had the strongest influence of 0.692 on households’ energy saving behavioral intention. In addition, perceived behavioral control was not only responsible for the behavioral intention by 0.399 but also associated with the energy-saving behaviors by 0.477. Individuals’ risk preference negatively moderated the relationship between personal norm and behavioral intention, and the relationship between perceived behavioral control and energy-saving behaviors, respectively. This study contributes to the literature by providing an understanding of the effectiveness and influencing paths of HESO on household energy-saving behaviors. The findings yield decisive implications for implementing HESO into communities to reduce household energy consumption.

A life-cycle theory analysis of French household electricity demand

This paper develops a pseudo-panel approach to examine household electricity demand behavior through the household life cycle and its response to income variations to help strengthen the energy policy-making process. Our empirical methodology is based on three rich independent microdata surveys (the National Housing Surveys), which are representative of the French housing sector. The resulted sample covers the 2006–2016 period. Using within estimations, this paper finds striking evidence that the income elasticity of French residential electricity demand is 0.22, averaged over our four cohorts of generations. In light of other works, our estimate stands in the lower range. The empirical results also show that residential electricity consumption follows an inverted U-shaped distribution as a function of the age of the household’s head. Most notably, it appears that households at the mid-point of their life cycle are relatively the largest consumers of electricity. This outcome has important implications for policy-making. Any public policy aimed at reducing household energy consumption should consider this differentiation in consumption according to the position of households over the life cycle, and therefore target as priority households at the highest level of consumption.