A Study of Path Models for Analyzing Energy Saving Effects in Residential Areas of Apartments

2011 ◽  
Author(s):  
S.H. Cho ◽  
N.N. Kang ◽  
T.K. Lee
Keyword(s):  
Energy Saving ◽  
Residential Areas ◽  
Path Models

scholarly journals Intelligent Edge-based Recommender System for Internet of Energy Applications

2021 ◽  
Author(s):  
Aya Nabeel Sayed ◽  
Faycal Bensaali ◽  
Yassine Himeur
Keyword(s):  
Energy Saving ◽  
Recommender System ◽  
Energy Demand ◽  
Privacy Preservation ◽  
Energy Savings ◽  
New Technologies ◽  
End Users ◽  
Environmental Data ◽  
Residential Areas ◽  
Increase Energy Efficiency

When investigating how people conserve energy, most researchers and decision-makers render a conceptual distinction between prevention (e.g. unplugging devices) and productivity measures. Nevertheless, such a two-dimensional approach is inefficient from both a conceptual and policy standpoint, since it ignores individual differences that influence energy-saving behavior. Preserving electricity in homes and buildings is a big concern, owing to a scarcity of energy resources and the escalation of current environmental issues. Furthermore, the COVID-19 social distancing policies have resulted in a temporary transition of energy demand from industrial and urban centers to residential areas, resulting in greater consumption and higher costs. In order to promote the sustainability and preservation of resources, the use of new technologies to increase energy efficiency in homes or buildings becomes increasingly necessary. Hence, the goal of the project is to provide consumers with evidence-based data on the costs and advantages of ICT-enabled energy conservation approaches, as well as clear, timely, and engaging information and assistance on how to realize the energy savings that are attainable, in order to boost user uptake and effectiveness of such techniques. End-users can visualize their consumption patterns as well as ambient environmental data using the Home-assistant user interface. More notably, explainable energy-saving recommendations are delivered to end-users in form of notifications via the mobile application to facilitate habit change. In this context, to the best of the authors’ knowledge, this is the first attempt for developing and implementing an energy-saving recommender system on edge devices. Thus, ensuring better privacy preservation since data are processed locally on the edge, without the need to transmit them to remote servers, as is the case with cloudlet platforms.

The New Rural Green Residential Energy Conservation Mode Design - Environmental Articles

2012 ◽  
Vol 599 ◽  
pp. 651-655
Author(s):  
Qiu Fen Hu ◽  
Hua Feng Deng ◽  
Fei Sun ◽  
Jun Wei ◽  
Kun Peng Yu
Keyword(s):  
Solar Energy ◽  
Energy Conservation ◽  
Natural Resources ◽  
Energy Saving ◽  
Waste Utilization ◽  
Residential Areas ◽  
Residential Energy ◽  
Mode Design ◽  
Integration Effect ◽  
Biogas Energy

Based on the study geography, climate and other natural resources and customs,such as fully promote the use of biogas energy, develop and utilize of solar energy, sewage and waste utilization and processing Measures .we put forward some specific measures to improve rural residential, we discuss rural green residence pattern, to achieve environmental protection and energy saving construction of integration effect, after the rural residential areas to provide reference for the construction of.

scholarly journals Clean Energy Utilization Technology in the Transformation of Urban Existing Residence in China

2020 ◽  
Author(s):  
Li Zhao ◽  
Wei Chen ◽  
Qiong Li ◽  
WeiWei Wu
Keyword(s):  
Power Generation ◽  
Energy Consumption ◽  
Energy Saving ◽  
Residential Buildings ◽  
Clean Energy ◽  
Total Power ◽  
Residential Areas ◽  
Stirpat Model ◽  
Climatic Zones ◽  
Generation Capacity

Abstract Clean energy substitution technology of existing residential buildings in cities is an inevitable choice for sustainable development and low-carbon ecological city construction. In this paper, the current status of energy-saving renovation and renewable energy application of existing residential buildings in various cities in China is summarized by using statistical analysis method. According to different climatic zones of existing urban areas, the production and consumption of conventional energy (e.g. electricity, gas) and new energy (e.g. solar energy and air energy) are analyzed, and the energy consumption of buildings in existing urban residential areas is analyzed based on STIRPAT model principle. The influencing factors are modeled and analyzed quantitatively. The function relationship between energy consumption of existing residential buildings and influencing factors is analyzed by Ridge Regression with R software. The research results show that the areas with energy-saving modification area of existing buildings in China exceeding 10 million m2 by 2018 include: Xinjiang, Inner Mongolia and Shandong Province; based on data analysis of 2015-2017 in China with different climatic zones, the nuclear power generation capacity in hot summer and warm winter areas is ahead of other areas and the power generation capacity is increasing year by year; the wind power and solar power generation capacity in cold areas and cold areas is comparable. Strong and power generation also increases year by year; the proportion of clean energy generation in total power generation in each region is still small; the annual power generation of clean energy in each region is positively related to the total power generation. Based on STIRPAT model analysis, compared with 2009, urban residential energy consumption increased by 43.6% in 2016.Natural gas-based clean energy has also increased from 7.9% to 13.4%.But still cannot meet the demand of energy consumption of urban residential. The research results can provide basic data support for planning and implementation of clean energy upgrading and transformation system in existing urban residential areas in China.

Residential Design of Circular Economy

2011 ◽  
Vol 243-249 ◽  
pp. 6718-6720
Author(s):  
Min Yuan ◽  
Bing Yu Pan ◽  
Shi Jun Wang
Keyword(s):  
Energy Saving ◽  
Circular Economy ◽  
Residential Area ◽  
Residential Areas ◽  
Residential Status ◽  
Residential Design ◽  
Growth Prospects ◽  
The Relationship ◽  
Future Growth

Residential Design briefly explained the relationship with the circular economy, according to the design of residential status and future growth prospects, I propose the idea of circular economy design residential areas, construction of new cycle of economic-type settlements, to develop eco-energy saving residential area.

Sampling Investigation of Power Consumption on Existing Residential Buildings in Jingzhou

2013 ◽  
Vol 805-806 ◽  
pp. 468-471
Author(s):  
Chang Jun Ke ◽  
Chun Zhao Zhu
Keyword(s):  
Power Consumption ◽  
Energy Saving ◽  
Residential Buildings ◽  
Residential Building ◽  
Urban Residents ◽  
Residential Areas ◽  
Community Residents ◽  
Building Information

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 correlation with temperature. And this rule means the necessity of energy saving reconstruction for residential building. With of urban residents' income increasing, their energy-saving consciousness falls. Energy saving consciousness should be wide publicized.

Subjective Time Preference and Willingness to Pay for an Energy-Saving Durable Good

2001 ◽  
Vol 32 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Gerrit Antonides ◽  
Sophia R. Wunderink
Keyword(s):  
Willingness To Pay ◽  
Energy Saving ◽  
Subjective Time ◽  
Durable Good ◽  
Discount Function ◽  
Hyperbolic Discount ◽  
The One ◽  
Two Parameter ◽  
Difference Effect ◽  
Better Than

Summary: Different shapes of individual subjective discount functions were compared using real measures of willingness to accept future monetary outcomes in an experiment. The two-parameter hyperbolic discount function described the data better than three alternative one-parameter discount functions. However, the hyperbolic discount functions did not explain the common difference effect better than the classical discount function. Discount functions were also estimated from survey data of Dutch households who reported their willingness to postpone positive and negative amounts. Future positive amounts were discounted more than future negative amounts and smaller amounts were discounted more than larger amounts. Furthermore, younger people discounted more than older people. Finally, discount functions were used in explaining consumers' willingness to pay for an energy-saving durable good. In this case, the two-parameter discount model could not be estimated and the one-parameter models did not differ significantly in explaining the data.

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