scholarly journals Decreasing the residential energy consumption in the Portuguese residential sector: potential of energy saving behaviours

Author(s):  
C. Sabino
2013 ◽  
Vol 448-453 ◽  
pp. 1269-1272
Author(s):  
Zhao Chen ◽  
Li Bai ◽  
Feng Li

In this paper, the software of DeST was used to simulate the heating energy consumption by the year of a typical energy-saving residential building in the city of Changchun. Comparing the energy consumption of the top and bottom,the middle room and the edges rooms ,we get the reasons for the uneven heating and put forward the corresponding solutions, which provide the reference for heating system design.


Author(s):  
Suchismita Bhattacharjee ◽  
Georg Reichard

Energy consumption in the United States’ residential sector has been marked by a steady growth over the past few decades, in spite of the implementation of several energy efficiency policies. To develop effective energy policies for the residential sector, it is of utmost importance to study the various factors affecting residential energy consumption. Earlier studies have identified and classified various individual factors responsible for the increment in household energy consumption, and have also analyzed the effect of socio-economic factors such as standard-of-living and income on overall household energy consumption. This research study identifies the socio-economic factors affecting household energy consumption. Potential reasons for the variation in residential energy efficiency consumption have been investigated in previous studies that only represent viewpoints of investigators analyzing specific problems. Additionally, a comprehensive review of literature failed to reveal existing research that had systematically explored the interdependencies among the various factors that could possibly affect residential energy consumption to give an overall perspective of these factors. Widely used academic and scholarly scientific databases were employed by two independent investigators to search for original research investigations. A total of more than 200 research studies were found by the investigators, with almost ninety percent agreement between the two investigators. Based on the inclusion and exclusion criteria of this research study the authors systematically reviewed 51 prominent research studies to create a comprehensive list of factors affecting residential energy consumption. The results are discussed in this review.


2017 ◽  
Vol 42 (1) ◽  
pp. 52-57
Author(s):  
Cheng Sun ◽  
Meng Zhen ◽  
Yu Shao

Rural residential energy consumption accounts for 46.6% of total building-related energy consumption of China. In Northeast China, energy consumption for space heating represents a significant proportion of total rural residential energy consumption and has reached 100 million tce (tons of standard coal equivalent), or more than 60% of total household energy consumption. In terms of energy consumption per square meter of gross floor area, rural residential energy consumption for heating is more than that of cities (20kgce/m2). However, the average indoor temperature of most rural residence is below 10°C, much less than that in cities (18°C). Hence, it is an important task for Chinese energy saving and emission reduction to reduce rural residential energy consumption, while enhancing indoor thermal comfort at the same time. Restricted by local technology and low economic level, rural residences currently have poor thermal insulation resulting in severe heat loss. This paper reports on research aimed at developing design strategies for improving thermal insulation properties of rural residences with appropriate technology. A field survey was conducted in six counties in severe cold areas of Northeast China, addressing the aspects of indoor and outdoor temperature, humidity, internal and external surface temperature of building envelop enclosure, and so on. The survey data show the following: 1. Modern (after 2000) brick-cement rural residences perform much better than the traditional adobe clay houses and Tatou houses (a regional type of rural residence in Northeast China – see figure A) in overall thermal performance and indoor thermal comfort; 2. Among the traditional residential house types, adobe clay houses have better heat stability and thermal storage capacity than Tatou houses; 3. Applying an internal or external thermal insulation layer can greatly improve rural residential thermal insulation properties, and is an economical and efficient solution in rural areas; 4. In terms of roofing materials, tiled roofs show much better thermal insulation properties than thatch roofs; 5. Adopting passive solar techniques can form a transition space (greenhouse) against frigid temperatures, resulting in interior temperatures 5.91°C higher than the outside surroundings. It is evident that local passive solar room design offers significant heat preservation effects and lower cost ($12/m2), embodies the ecological wisdom of rural residents, and is therefore important to popularize. The above experimental results can provide guidance in energy conservation design for both self-built residences and rural residences designed by architects. In addition, the results can also provide experimental data for energy-saving studies for rural residences in China.


Author(s):  
Merih Aydinalp Koksal

This chapter investigates the use of neural networks (NN) for modeling of residential energy consumption. Currently, engineering and conditional demand analysis (CDA) approaches are mainly used for residential energy modeling. The studies on the use of NN for residential energy consumption modeling are limited to estimating the energy use of individual or a group of buildings. Development of a national residential end-use energy consumption model using NN approach is presented in this chapter. The comparative evaluation of the results of the model shows NN approach can be used to accurately predict and categorize the energy consumption in the residential sector as well as the other two approaches. Based on the specific advantages and disadvantages of three models, developing a hybrid model consisting of NN and engineering models is suggested.


2017 ◽  
Vol 11 (4) ◽  
pp. 541-556 ◽  
Author(s):  
Yongxia Ding ◽  
Shuwen Niu

Purpose This paper aims to analyze the internal relationships and tendency of residential energy consumption, income and carbon emissions. Design/methodology/approach Taking 30 provinces of China as the analysis unit and dividing them into two types of urban and rural consumer groups, the panel data model was built. In addition, panel unit root test, panel cointegration test and panel Granger causality test were also used. Findings The results showed that there are long-run equilibrium relationships between the three variables, which show the regular tendency in the spatial process. The elasticity coefficients of residential energy consumption and CO2 emissions vary across the three regions and decline continuously from the western to central and eastern regions. In addition, geographic location is also an important factor on the energy consumption and CO2 emissions in residential sector. Originality/value This paper provides some points for policies on cutting energy use and pollution in residential sector.


2020 ◽  
Vol 10 (1) ◽  
pp. 5191-5194
Author(s):  
A. Zerroug ◽  
E. Dzelzitis

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 paper is to review some of the techniques used to model residential energy consumption. They are gathered in two categories: top-down and bottom-up. The top-down approach considers the residential sector as an energy sink and does not take into account the individual end-uses. The bottom-up approach uses the estimated energy consumption of a representative set of individual houses and extrapolates it to regional and national levels. Based on the strengths, shortcomings, and purposes, an analytical review of each technique, is provided along with a review of models reported in the literature.


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