3R Principle in Household Energy Consumption Patterns

Energy is an important issue for achieving sustainable development. Sustainable Development Goals emphasize renewable energy sources, green energy technologies, and energy efficiency for sustainable world. In addition, energy consumption patterns can influence energy efficiency as much as green energy policies. In this point, sustainable consumption patterns should be adapted into energy consumption. 3R principle can be an alternative model for sustainable energy consumption. This study aims to explore how household can adapt 3R principle in energy consumption patterns in Turkey. Turkey aims to achieve sustainable development goals and especially works to achieve energy security and efficiency in the long term. In this point, the contribution of households will play a critical role for energy efficiency and security in a country. The study analyzed open access data from TURKSTAT (Turkish Statistical Institute) to determine the framework of household energy consumption patterns.

Human Activity Pattern Prediction System for Smart Home Appliances

This paper proposes a model (HAPP) for learning and finding human action designs for Smart home applications based on huge amounts of data from smart homes. The proposed methodology quantifies and breaks down vitality use variations initiated by renters' behaviour using visit design mining, group research, and expectation. The HAPP System addresses the legal obligation to deconstruct energy consumption patterns at the machine level, which is directly linked to the actions of human. In the quantum/information cut of 24th, the information from shrewd meter is recursively mined, and the results are stored up throughout progressive mining works out. The HAPP System specifies the conditions for analysing the project that we use Keywords: Smart home, Data Mining, classifications, Human activity recognition

Spatial analysis of public residential housing's electricity consumption in relation to urban landscape and building characteristics: A case study in Singapore

In a highly populated country like Singapore, a significant percentage of our gross annual electricity consumption stems from our domestic electricity usage in our residential houses. Analyzing and understanding factors that could influence such patterns is thus essential in order to derive effective measures to reduce usage. In this research, 16 identified variables were calculated and considered in the spatial analyses based on various buffer sizes. Both multilinear regression (MLR) and geographically weighted regression (GWR) based analyses were conducted using each residential housing's Energy Unit Intensity (EUI) as the dependent variable. The analyzed results have shown that building characteristics variables have more significant influences towards energy consumption patterns as compared to urban landscape variables. Although little difference was observed across different buffer sizes, more reliable results were obtained from a smaller buffer size of 50 m, suggesting its suitability in using these obtained values for further prediction model analysis and development. Results obtained from the GWR-based analysis have shown a significant improvement in the goodness-of-fit value compared to the MLR-based analysis, effectively indicating that GWR performs better in this context, apart from its better explanation on the contribution of these identified variables to the EUI in this case study.

Comparison of Energy Performance of Existing Building with Adoption of Nearly Zero Energy Building Concept in Rural Area of Bhutan

The climate is changing very fast today, and this is not natural. We are experiencing the impact of climate change in many aspects. It is also expected to impact the performance of buildings badly in due course of time. In recent years, many countries started investing to evaluate the energy performances of the buildings and opting for the best suited energy-saving measures. However, this concept may be new in the context of Bhutan. However, the author expects that this new concept may revolutionize the building construction sectors in Bhutan. Many studies show that buildings are one of the world’s largest consumers of energy, and on the other hand, strategies are available to reduce energy consumption. The strategies can be applied right from the design phases for the new buildings and retrofits for the old buildings. In order to apply the best strategies of energy consumption reduction and to understand building energy consumption patterns, an evaluation of the building’s energy performance needs to be carried out.

Household Energy Use in New Zealand: the Changing Role of Televisions

<p>Energy efficiency plays a major role in policies to mitigate climate change and to secure future energy supply. Understanding energy use behaviour and appliance energy use is vital to policy design. The drivers of energy use in household sector are complex. Households use energy for comfort, health and entertainment in contrast to, the uses of energy for making a profit in industrial and commercial sectors. As a part of this study a model was developed identifying the major drivers of household energy use. Household income and behaviour, house size, appliance technology and appliance energy efficiency are few factors that can influence household energy consumption patterns. Many OECD countries have managed to restrain traditional household energy end-uses such as space and water heating. However, IEA studies have indicated energy used by information, communication and entertainment appliances continue to increase. Television energy use was chosen for this study because it is widely used and operates together with many other associated appliances. This analysis draws from the New Zealand Television Energy Usage and Purchasing Survey to understand the current trends and patterns of television usage. The survey suggests television and associated appliance ownership and usage is increasing. Analysis draws from the survey to quantify TV energy use in New Zealand. This study illustrates how household behaviour, technology and size affects household energy use. The survey also demonstrate how households associate energy use with environmental impact. Some OECD data on household energy was used to analyse and contrast New Zealand’s patterns in a wider context.</p>

Household Energy Use in New Zealand: the Changing Role of Televisions

<p>Energy efficiency plays a major role in policies to mitigate climate change and to secure future energy supply. Understanding energy use behaviour and appliance energy use is vital to policy design. The drivers of energy use in household sector are complex. Households use energy for comfort, health and entertainment in contrast to, the uses of energy for making a profit in industrial and commercial sectors. As a part of this study a model was developed identifying the major drivers of household energy use. Household income and behaviour, house size, appliance technology and appliance energy efficiency are few factors that can influence household energy consumption patterns. Many OECD countries have managed to restrain traditional household energy end-uses such as space and water heating. However, IEA studies have indicated energy used by information, communication and entertainment appliances continue to increase. Television energy use was chosen for this study because it is widely used and operates together with many other associated appliances. This analysis draws from the New Zealand Television Energy Usage and Purchasing Survey to understand the current trends and patterns of television usage. The survey suggests television and associated appliance ownership and usage is increasing. Analysis draws from the survey to quantify TV energy use in New Zealand. This study illustrates how household behaviour, technology and size affects household energy use. The survey also demonstrate how households associate energy use with environmental impact. Some OECD data on household energy was used to analyse and contrast New Zealand’s patterns in a wider context.</p>

Economic globalization and energy consumption patterns in Organisation for Economic Co-operation and Development economies

This study examines the impact of economic globalization on the patterns of energy consumption for 24 Organisation for Economic Co-operation and Development (OECD) economies from 1995 to 2015. We employ Westerlund cointegration, which shows a long-run association between economic globalization and energy consumption patterns. Furthermore, cross-sectional autoregressive distributed lag models (CS-ARDL) results explain the short-run and long-run relationship between the series. The results further explain that economic globalization reduces oil and coal consumption while accelerating gas consumption in OECD economies. We additionally employ the Eberhardt augmented mean group test to verify consistency with CS-ARDL results. The empirical evidence of this study suggests that OECD economies’ policymakers should prioritize economic globalization in framing policies related to energy consumption. Furthermore, allocating funds for better technology related to high polluting fuels should be one of the crucial considerations arising from this study. Finally, we recommend economic globalization as an important indicator to address the issues related to OECD economics’ environmental and ecological footprints.