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Journal articles on the topic 'Residential Energy Consumption'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Gholami, Roya, Rohit Nishant, and Ali Emrouznejad. "Modeling Residential Energy Consumption." Journal of Global Information Management 29, no. 2 (2021): 166–93. http://dx.doi.org/10.4018/jgim.2021030109.

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Smart meters that allow information to flow between users and utility service providers are expected to foster intelligent energy consumption. Previous studies focusing on demand-side management have been predominantly restricted to factors that utilities can manage and manipulate, but have ignored factors specific to residential characteristics. They also often presume that households consume similar amounts of energy and electricity. To fill these gaps in literature, the authors investigate two research questions: (RQ1) Does a data mining approach outperform traditional statistical approache

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2

Wahlström, Marie H., and Björn Hårsman. "Residential energy consumption and conservation." Energy and Buildings 102 (September 2015): 58–66. http://dx.doi.org/10.1016/j.enbuild.2015.05.008.

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3

Yoo, Seung-Hoon, and Seung-Ryul Lee. "The Economic Value of Residential Electricity Consumption in Seoul." Journal of Energy Engineering 21, no. 1 (2012): 81–85. http://dx.doi.org/10.5855/energy.2012.21.1.081.

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4

Bouktif, Salah. "MONITORING SYSTEM FOR RESIDENTIAL ENERGY CONSUMPTION." International Journal of New Computer Architectures and their Applications 5, no. 4 (2015): 156–64. http://dx.doi.org/10.17781/p001983.

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5

Abreu, Pedro Henriques, Daniel Castro Silva, Hugo Amaro, and Rui Magalhães. "Identification of Residential Energy Consumption Behaviors." Journal of Energy Engineering 142, no. 4 (2016): 04016005. http://dx.doi.org/10.1061/(asce)ey.1943-7897.0000340.

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6

Potter, M. C. "Mass effects in residential energy consumption." International Journal of Energy Research 13, no. 4 (1989): 499–502. http://dx.doi.org/10.1002/er.4440130412.

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7

Yust, B. L., D. A. Guerin, and J. G. Coopet. "Residential Energy Consumption: 1987 to 1997." Family and Consumer Sciences Research Journal 30, no. 3 (2002): 323–49. http://dx.doi.org/10.1177/1077727x02030003001.

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8

Bao, Helen X. H., and Steven Haotong Li. "Housing wealth and residential energy consumption." Energy Policy 143 (August 2020): 111581. http://dx.doi.org/10.1016/j.enpol.2020.111581.

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9

Pablo-Romero, María del P., Rafael Pozo-Barajas, and Rocío Yñiguez. "Global changes in residential energy consumption." Energy Policy 101 (February 2017): 342–52. http://dx.doi.org/10.1016/j.enpol.2016.10.032.

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10

Wang, Qing Feng, Yan Li Wang, De Ying Li, and Wei Na. "Research on Energy Consumption Tread of Residential Building in Beijing Based on Energy Audit." Applied Mechanics and Materials 174-177 (May 2012): 2057–60. http://dx.doi.org/10.4028/www.scientific.net/amm.174-177.2057.

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Beijing building energy efficiency work has been carried out for 20 years, which played a significant role in building energy saving. Based on the energy audit which is site test and statistics of building energy consumption analyses the energy consumption of residential building in Beijing. Discusses the residential building energy consumption characteristics and gives the energy consumption tread of residential building in Beijing. The results show that Beijing's residential building energy consumption per unit area is reduced year by year, which is mainly related with the implementation of

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11

Lim, Ki Choo. "Development of Bottom-up model for Residential Energy Consumption by Use." Journal of Energy Engineering 22, no. 1 (2013): 38–43. http://dx.doi.org/10.5855/energy.2013.22.1.038.

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12

Gao, Yongzhi, Weijun Gao, Ji Xuan, and Yutaka Tonooka. "Estimation of Non-Residential Building Energy Consumption." American Journal of Engineering and Applied Sciences 3, no. 3 (2010): 529–33. http://dx.doi.org/10.3844/ajeassp.2010.529.533.

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13

Mihalakakou, G., M. Santamouris, and A. Tsangrassoulis. "On the energy consumption in residential buildings." Energy and Buildings 34, no. 7 (2002): 727–36. http://dx.doi.org/10.1016/s0378-7788(01)00137-2.

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14

Abubakar, I., S. N. Khalid, M. W. Mustafa, M. Mustapha, and Hussain Shareef. "Residential Energy Consumption Management Using Arduino Microcontroller." Advanced Science Letters 24, no. 6 (2018): 3887–93. http://dx.doi.org/10.1166/asl.2018.11505.

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15

Zheng, Wu Xing, De Sheng Ju, and Shi Long Liu. "Analysis on Energy Efficiency and Consumption of Existing Residential Buildings in Shijiazhuang." Applied Mechanics and Materials 409-410 (September 2013): 557–60. http://dx.doi.org/10.4028/www.scientific.net/amm.409-410.557.

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Through the investigations on a total of 2,079 residential buildings in Shijiazhuang, the author got the distributions, ages, structures, heating and cooling patterns, indoor comfort conditions, state of energy efficiency and actual energy consumptions etc. In addition, non-energy-efficient buildings, energy-saving 30%, energy-saving 50% and energy-saving 65% accounted for 24.8%, 17.8%, 22.4% and 35.0% respectively. The author calculated the total energy consumption of 397 sample existing residential buildings which is equivalent to about 48,600 t Standard Coal, and average energy consumption

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16

Jin, Guo Hui, and Huai Zhu Wang. "Research on Energy Optimization and the Effect Factors of Energy Consumption about Residential Buildings in Inner Mongolia." Applied Mechanics and Materials 368-370 (August 2013): 1322–26. http://dx.doi.org/10.4028/www.scientific.net/amm.368-370.1322.

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With the rapid development of national economy in china, the proportion of the building consumption in energy consumption is rising year by year. This paper will analyze energy influence factors of consumption of residential building in Inner Mongolia. According to these factors, it will optimize the energy consumption of residential building energy saving research . In the end , the thesis will put up some measures to optimization of conserve energy and provide guidance and help for residential building energy conservation in Inner Mongolia.

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17

Mohammed Usman, Abdullahi, Akmal Nizam Mohammed, Mohd Faizal Mohideen, Mas Fawzi Mohd Ali, Kamil Abdullah, and Juntakan Taweekun. "Energy Profiling for Residential College Buildings." Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 81, no. 2 (2021): 139–45. http://dx.doi.org/10.37934/arfmts.81.2.139145.

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The present study aims to provide insight on energy profiling of a residential college in public university. The study involves electrical energy monitoring for six months from the month of March until August 2017. The data utilized to derive the average monthly consumption for both semester period and semester break. The consumption during semester break has been recorded to increase as much as 88% from the consumption during the semester break. The building energy index of the residential college has been recorded to be at 22.90 kWh/m2/year meanwhile the energy intensity was recorded to be a

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18

Wang, Endong, and Zhigang Shen. "LIFECYCLE ENERGY CONSUMPTION PREDICTION OF RESIDENTIAL BUILDINGS BY INCORPORATING LONGITUDINAL UNCERTAINTIES." Journal of Civil Engineering and Management 19, Supplement_1 (2014): S161—S171. http://dx.doi.org/10.3846/13923730.2013.802744.

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Accurate prediction of buildings’ lifecycle energy consumption is a critical part in lifecycle assessment of residential buildings. Longitudinal variations in building conditions, weather conditions and building's service life can cause significant deviation of the prediction from the real lifecycle energy consumption. The objective is to improve the accuracy of lifecycle energy consumption prediction by properly modelling the longitudinal variations in residential energy consumption model using Markov chain based stochastic approach. A stochastic Markov model considering longitudinal uncertai

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19

Zerroug, A., and E. Dzelzitis. "A Study of Modeling Techniques of Building Energy Consumption." Engineering, Technology & Applied Science Research 10, no. 1 (2020): 5191–94. http://dx.doi.org/10.48084/etasr.3257.

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Residential energy consumption accounts for more than 40% of the total energy consumed in the world. The residential sector is the biggest consumer of energy in every country, and therefore focusing on the reduction of energy consumption in this sector is very important. The energy consumption characteristics of the residential sector are very complicated and the variables affecting the consumption are wide and interconnected, so more detailed models are needed to assess the impact of adopting efficient and renewable energy technologies suitable for residential applications. The aim of this pa

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20

Ke, Chang Jun, and Chun Zhao Zhu. "Sampling Investigation of Power Consumption on Existing Residential Buildings in Jingzhou." Advanced Materials Research 805-806 (September 2013): 468–71. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.468.

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According to various years, five residential areas about 790 existing residential buildings samples are selected to investigate the basic building information and household power status. The investigation results show that power consumption has a significant correlation with temperature and income, consumptive habits of the resident, etc. Different community residents’ power consumption in almost three years increase year by year, and there are obvious differences for different communities. Summer and winter is peak of power consumption, especially in summer. Power consumption has obvious corr

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21

Kim, Ho-Young, Seul-Ye Lim, and Seung-Hoon Yoo. "Analysis of residential natural gas consumption distribution function in Korea - a mixture model." Journal of Energy Engineering 23, no. 3 (2014): 36–41. http://dx.doi.org/10.5855/energy.2014.23.3.036.

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22

Han, Hongyun, and Shu Wu. "Rural residential energy transition and energy consumption intensity in China." Energy Economics 74 (August 2018): 523–34. http://dx.doi.org/10.1016/j.eneco.2018.04.033.

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23

Jeong, Hyun Cheol, Minseok Jang, Taegon Kim, and Sung-Kwan Joo. "Clustering of Load Profiles of Residential Customers Using Extreme Points and Demographic Characteristics." Electronics 10, no. 3 (2021): 290. http://dx.doi.org/10.3390/electronics10030290.

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In this paper, a systematic method is proposed to cluster the energy consumption patterns of residential customers by utilizing extreme points and demographic characteristics. The extreme points of the energy consumption pattern enable effective clustering of residential customers. Additionally, demographic characteristics can be used to determine an effective extreme point for the clustering algorithm. The K-means-based features selection method is used to classify energy consumption patterns of residential customers into six types. Furthermore, the type of energy consumption pattern can be i

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24

Tsemekidi Tzeiranaki, Sofia, Paolo Bertoldi, Francesca Diluiso, et al. "Analysis of the EU Residential Energy Consumption: Trends and Determinants." Energies 12, no. 6 (2019): 1065. http://dx.doi.org/10.3390/en12061065.

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This article analyses the status and trends of the European Union (EU) residential energy consumption in light of the energy consumption targets set by the EU 2020 and 2030 energy and climate strategies. It assesses the energy efficiency progress from 2000 to 2016, using the official Eurostat data. In 2016, the residential energy consumption amounted to 25.71% of the EU’s final energy consumption, representing the second largest consuming sector after transport. Consumption-related data are discussed together with data on some main energy efficiency policies and energy consumption determinants

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25

Nesbakken, Runa. "Price sensitivity of residential energy consumption in Norway." Energy Economics 21, no. 6 (1999): 493–515. http://dx.doi.org/10.1016/s0140-9883(99)00022-5.

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26

Fumo, Nelson, and M. A. Rafe Biswas. "Regression analysis for prediction of residential energy consumption." Renewable and Sustainable Energy Reviews 47 (July 2015): 332–43. http://dx.doi.org/10.1016/j.rser.2015.03.035.

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27

Houri, Ahmad, and Samira Ibrahim-Korfali. "Residential energy consumption patterns: the case of Lebanon." International Journal of Energy Research 29, no. 8 (2005): 755–66. http://dx.doi.org/10.1002/er.1086.

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28

Gram-Hanssen, Kirsten. "Understanding change and continuity in residential energy consumption." Journal of Consumer Culture 11, no. 1 (2011): 61–78. http://dx.doi.org/10.1177/1469540510391725.

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Practice theory has recently emerged within consumer studies as a promising approach that shifts focus from the individual consumer towards the collective aspects of consumption, and from spectacular and conspicuous dimensions of consumption towards routine and mundane aspects of consumption. Practice theory is, however, not a commonly agreed upon theory, but more like an approach, or a turn within contemporary social theory. When using practice theory in consumer studies, there are thus several conditions that need further clarification. The focus in this article is on how change and continui

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29

Bianco, Vincenzo, Annalisa Marchitto, Federico Scarpa, and Luca A. Tagliafico. "Forecasting Energy Consumption in the EU Residential Sector." International Journal of Environmental Research and Public Health 17, no. 7 (2020): 2259. http://dx.doi.org/10.3390/ijerph17072259.

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The present paper aims to introduce a top down methodology for the forecasting of residential energy demand in four European countries, namely Germany, Italy, Spain, and Lithuania. The methodology employed to develop the estimation is based on econometric techniques. In particular, a logarithmic dynamic linear constant relationship of the consumption is proposed. Demand is estimated as a function of a set of explaining variables, namely heating degree days and gross domestic product per capita. The results confirm that the methodology can be applied to the case of Germany, Italy, and Spain, wh

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30

Sun, JW. "Real rural residential energy consumption in China, 1990." Energy Policy 24, no. 9 (1996): 827–39. http://dx.doi.org/10.1016/0301-4215(96)00063-8.

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31

Streltsov, Artem, Jordan M. Malof, Bohao Huang, and Kyle Bradbury. "Estimating residential building energy consumption using overhead imagery." Applied Energy 280 (December 2020): 116018. http://dx.doi.org/10.1016/j.apenergy.2020.116018.

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32

Xu, X. Y., and B. W. Ang. "Analysing residential energy consumption using index decomposition analysis." Applied Energy 113 (January 2014): 342–51. http://dx.doi.org/10.1016/j.apenergy.2013.07.052.

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33

Aydin, Erdal, and Dirk Brounen. "The impact of policy on residential energy consumption." Energy 169 (February 2019): 115–29. http://dx.doi.org/10.1016/j.energy.2018.12.030.

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34

Marin, Giovanni, and Alessandro Palma. "Technology invention and adoption in residential energy consumption." Energy Economics 66 (August 2017): 85–98. http://dx.doi.org/10.1016/j.eneco.2017.06.005.

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35

Pukhkal, V. "Numerical Modeling of Energy Consumption in Residential Buildings." IOP Conference Series: Materials Science and Engineering 1079, no. 5 (2021): 052025. http://dx.doi.org/10.1088/1757-899x/1079/5/052025.

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36

Aguilera, Francisca, and Felipe Ossio. "Residential archetypes in urban energy simulation models in Chile: Determining factors of residential energy consumption." Revista de la construcción 16, no. 3 (2017): 527–36. http://dx.doi.org/10.7764/rdlc.16.3.527.

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37

Xie, Lunyu, Haosheng Yan, Shuhan Zhang, and Chu Wei. "Does urbanization increase residential energy use? Evidence from the Chinese residential energy consumption survey 2012." China Economic Review 59 (February 2020): 101374. http://dx.doi.org/10.1016/j.chieco.2019.101374.

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38

Huang, Qing, Nian Ping Li, Xiao Qing Wei, and Yun Sheng Jiang. "The Quota and Analysis of Comprehensive Energy Consumption per Unit for Residential Buildings in Changsha." Key Engineering Materials 517 (June 2012): 858–63. http://dx.doi.org/10.4028/www.scientific.net/kem.517.858.

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Using an appropriate evaluation index for energy consumption is advantageous for evaluating energy saving effect of buildings correctly and carrying out energy-saving action reasonably. As a result, it is important to establish a practical quota of energy consumption for promoting energy-saving emission reduction. Energy consumption for residential buildings has been influenced by the behavior of residents in the building largely, and has a higher uncertainty, so it brings great difficulty to researches. Considering the characteristics of residential buildings, this paper uses comprehensive en

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39

Liu, Wei, Zhen Yu, Jianlin Wu, Huai Li, Caifeng Gao, and Hongwei Gong. "Influence of Building Air Tightness on Energy Consumption of Ventilation System in Nearly Zero Energy Residential Buildings." E3S Web of Conferences 111 (2019): 03074. http://dx.doi.org/10.1051/e3sconf/201911103074.

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Building air tightness increased quickly in recent years as nearly zero energy buildings concept gradually drawn more attentions from the industry. Ventilation system plays an important role for the indoor air quality control in residential buildings with good air tightness. The energy consumption of the ventilation system is a significant part of the overall energy consumption of low energy residential building. The influence of the building air tightness on the energy consumption of ventilation system was not addressed sufficiently in previous studies. This paper analyses the quantitative re

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40

Dalal, Rakesh, Kamal Bansal, and Sapan Thapar. "Bridging the energy gap of India’s residential buildings by using rooftop solar PV systems for higher energy stars." Clean Energy 5, no. 3 (2021): 423–32. http://dx.doi.org/10.1093/ce/zkab017.

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Abstract The residential-building sector in India consumes &gt;25% of the total electricity and is the third-largest consumer of electricity; consumption increased by 26% between 2014 and 2017. India has introduced a star-labelling programme for residential buildings that is applicable for all single- and multiple-dwelling units in the country for residential purposes. The Energy Performance Index (EPI) of a building (annual energy consumption in kilowatt-hours per square metre of the building) is taken as an indicator for awarding the star label for residential buildings. For gauging the

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41

Kalua, Amos. "Urban Residential Building Energy Consumption by End-Use in Malawi." Buildings 10, no. 2 (2020): 31. http://dx.doi.org/10.3390/buildings10020031.

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Buildings account for about 40% of the global energy consumption and this energy demand is projected to continue growing over the next few decades. Residential buildings are responsible for over 60% of this consumption pattern with commercial buildings being responsible for the remainder. While residential building energy consumption constitutes about 20% of the total consumption in the developed world, it constitutes up to more than 50% in the sub-Sahara African region. The growing consumption of energy has raised concerns over the impacts on the environment, supply difficulties, and depletio

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42

Dumciuviene, Daiva, Akvile Cibinskiene, Mark Melenhorst, and Jasminko Novak. "Determinants of Sustainable Energy Consumption in Schools." Proceedings 2, no. 22 (2018): 1382. http://dx.doi.org/10.3390/proceedings2221382.

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In this paper the energy saving behavior and its impacting determinants in schools are analyzed. There is a large number of research on energy saving behavior in residential buildings. However large fraction of the total energy is consumed in public buildings and schools. The issues of sustainable energy consumption behavior are less studied in these types of buildings. Based on the research on energy consumption in residential buildings the determinants of sustainable energy consumption in schools were classified into three groups: psychological and social; socio-demographic and economic dete

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43

Alshahrani, Jubran, and Peter Boait. "Reducing High Energy Demand Associated with Air-Conditioning Needs in Saudi Arabia." Energies 12, no. 1 (2018): 87. http://dx.doi.org/10.3390/en12010087.

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Electricity consumption in the Kingdom of Saudi Arabia (KSA) has grown at an annual rate of about 7% as a result of population and economic growth. The consumption of the residential sector accounts for over 50% of the total energy generation. Moreover, the energy consumption of air-conditioning (AC) systems has become 70% of residential buildings’ total electricity consumption in the summer months, leading to a high peak electricity demand. This study investigates solutions that will tackle the problem of high energy demand associated with KSA’s air-conditioning needs in residential buildings

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44

Peng, Zhen, Wu Deng, and Yuanda Hong. "Materials consumption, indoor thermal comfort and associated energy flows of urban residential buildings." International Journal of Building Pathology and Adaptation 37, no. 5 (2019): 579–96. http://dx.doi.org/10.1108/ijbpa-01-2019-0007.

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Purpose From the 2000s onward, construction practices of urban residential buildings in China have shown a material transformation from clay brick to aerated concrete block. Moreover, the consumption of insulating materials for buildings has been increasing due to the new requirements in building energy-saving standards. This transformation and the increased consumption of insulating materials might have a vital impact on a building’s thermal comfort and its associated energy flows. Therefore, the purpose of this paper is to investigate the indoor thermal performance of urban residential build

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45

Siepermann, Markus, Christian Rehtanz, Volker Liebenau, Richard Lackes, and Martin Gebauer. "The potential of shifting residential energy consumption for the energy transition." International Journal of Energy Sector Management 15, no. 3 (2021): 628–46. http://dx.doi.org/10.1108/ijesm-01-2020-0006.

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Purpose The purpose of this study is to analyse the contribution of shifting the load of household devices from periods of renewable energy underproduction to surplus periods in order to better match energy production and demand. Design/methodology/approach An optimisation model for load shifting of household devices is developed and analysed with the help of a simulation of energy loads for the year 2030 in Germany. Findings About 1.48% of the renewable surplus energy can be used in addition which equals total savings between €15.06m and €106.71m. However, 24.47% of the surplus periods can be

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46

Felimban, Ahmed, Alejandro Prieto, Ulrich Knaack, Tillmann Klein, and Yasser Qaffas. "Assessment of Current Energy Consumption in Residential Buildings in Jeddah, Saudi Arabia." Buildings 9, no. 7 (2019): 163. http://dx.doi.org/10.3390/buildings9070163.

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In the Kingdom of Saudi Arabia (KSA), residential buildings’ energy consumption accounts for almost 50% of the building stock electricity consumption. The KSA’s economy relies heavily on fossil fuel sources, namely oil reservoirs, whose depletion will negatively affect the future development of the country. The total electricity consumption is growing by approximately 5–8% annually, which would lead to oil production and oil consumption being equal in 2035. Therefore, residential buildings need further assessment as regards their current energy consumption. This research used a survey to explo

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47

Monna, Sameh, Adel Juaidi, Ramez Abdallah, and Mohammed Itma. "A Comparative Assessment for the Potential Energy Production from PV Installation on Residential Buildings." Sustainability 12, no. 24 (2020): 10344. http://dx.doi.org/10.3390/su122410344.

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This paper targets the future energy sustainability and aims to estimate the potential energy production from installing photovoltaic (PV) systems on the rooftop of apartment’s residential buildings, which represent the largest building sector. Analysis of the residential building typologies was carried out to select the most used residential building types in terms of building roof area, number of floors, and the number of apartments on each floor. A computer simulation tool has been used to calculate the electricity production for each building type, for three different tilt angles to estima

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48

Monna, Sameh, Adel Juaidi, Ramez Abdallah, and Mohammed Itma. "A Comparative Assessment for the Potential Energy Production from PV Installation on Residential Buildings." Sustainability 12, no. 24 (2020): 10344. http://dx.doi.org/10.3390/su122410344.

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This paper targets the future energy sustainability and aims to estimate the potential energy production from installing photovoltaic (PV) systems on the rooftop of apartment’s residential buildings, which represent the largest building sector. Analysis of the residential building typologies was carried out to select the most used residential building types in terms of building roof area, number of floors, and the number of apartments on each floor. A computer simulation tool has been used to calculate the electricity production for each building type, for three different tilt angles to estima

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49

Marzban, S., L. Ding, V. Timchenko, and M. Irger. "Façade Optimization in a Wind-Driven Ventilated Residential Building Targeting Thermal Comfort, IAQ and Energy Consumption." International Journal of Environmental Science and Development 7, no. 5 (2016): 379–84. http://dx.doi.org/10.7763/ijesd.2016.v7.804.

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50

Li, Chu Ne, Ya Jun Wang, and Ying Cai. "Energy Consumption for Heating Residential Building from Implementing Deferent Energy-Saving Standard." Advanced Materials Research 936 (June 2014): 1502–5. http://dx.doi.org/10.4028/www.scientific.net/amr.936.1502.

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This paper uses energy consumption stimulation software DeST-h to carry out stimulation study on annual energy consumption for heating of a typical residential building in Lanzhou city, a city in cold zones. We respectively calculated energy consumption under conditions of implementing "50% energy-saving standard" and "65% energy-saving standard", calculated the energy-saving rate, and did research on energy-saving ability, economy, emission-reducing ability of different energy-saving standards.

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