scholarly journals AN EFFECT OF A “DEMAND RESPONSE” POWER MODEL TO ENERGY SAVING BEHAVIOR AND ENERGY CONSUMPTION

2015 ◽  
Vol 71 (5) ◽  
pp. I_357-I_368
Author(s):  
Hiroyoshi MORITA ◽  
Chika ISHIDA ◽  
Akio ONISHI ◽  
Shiro KAWAHARA ◽  
Hidefumi IMURA ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Demand Response ◽  
Power Model ◽  
Saving Behavior

scholarly journals The Impact of Individual Behavior on Household Energy Saving

2021 ◽  
Vol 3 (1) ◽  
pp. 39-46
Author(s):  
Gulshan Maqbool ◽  
Zulqarnain Haider
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Influencing Factors ◽  
Energy Demand ◽  
Energy Use ◽  
Household Head ◽  
Least Square ◽  
Primary Data ◽  
Saving Behavior ◽  
The Impact

Energy-saving behaviors are defined as the daily and habitual practices of households that focus on specific reductions in energy use. The main objective of this research was to estimate the impact of the energy-saving behavior of individuals on energy demand and to estimate the impact of factors affections the adoption of energy-saving techniques. The study is based on primary data which is collected through questionnaires. The data were collected from rural and urban households in four tehsils of district Sargodha, Pakistan. The Ordinary Least Square technique was to describe the relationship between electricity consumption and different explanatory variables such as gender, age, region, family members, dwelling area, income, energy consumption awareness, external influencing factors, and household saving behavior. Job status is negative and significant, qualification variable in this study is insignificant, marital status is negatively associated with energy consumption and significant, size of a household has a significant effect on the model.  The monthly income of the household head has a positive and significant effect. Energy consumption awareness is significantly negative. External influencing factors are insignificant. Saving behavior in electronic appliances is significantly negative to energy consumption. Government should put efforts to aware the public about energy-saving measures through an awareness campaign using electronic media like mobile and email. Energy-saving appliances should be a sale at cheap prices. The household should have to change its habitual behavior.

scholarly journals Determinants of Energy Saving: Evidence from a Vocational School in Greece

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3647 ◽  
Author(s):  
Daiva Dumciuviene ◽  
Akvile Cibinskiene ◽  
Meda Andrijauskiene
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Energy Use ◽  
Residential Buildings ◽  
Sustainable Energy ◽  
Theoretical Background ◽  
Vocational School ◽  
School Buildings ◽  
Saving Behavior ◽  
Important People

For this paper, the authors theoretically analyzed the determinants of energy saving and sustainable energy consumption in schools. Much research exists on energy-saving behavior in residential buildings. However, there is a lack of focus on public buildings and schools. A systematic literature review was conducted in order to construct the theoretical background for the research of school buildings, which are substantially less investigated. The determinants of sustainable energy use in schools were grouped together into three groups: (i) psychological and social, (ii) sociodemographic and economic, and (iii) contextual. The influence of these determinants on energy consumption was investigated empirically by conducting a questionnaire survey in a vocational school in Greece. The results reveal that the intention to save a substantial amount of energy in a vocational school in Greece is greater when students feel morally obliged to consider the environment and nature, believe that it is in their power to avoid unnecessary power consumption, and are positively influenced by teachers, classmates, and other important people in their lives.

scholarly journals Determinants of Sustainable Energy Consumption in Schools

Proceedings ◽  
2018 ◽  
Vol 2 (22) ◽  
pp. 1382 ◽  
Author(s):  
Daiva Dumciuviene ◽  
Akvile Cibinskiene ◽  
Mark Melenhorst ◽  
Jasminko Novak
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Residential Buildings ◽  
Sustainable Energy ◽  
Large Fraction ◽  
Research Papers ◽  
Economic Determinants ◽  
Consumption Behavior ◽  
Saving Behavior ◽  
Contextual Determinants

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 determinants; and contextual determinants. A systematic literature review was conducted for the substantially less investigated schools in terms of efficient energy consumption. According the review of research papers, the most important determinants of energy consumption in schools in terms of their influence on consumption were identified: attitudes; incentives/intentions/motivation; knowledge; awareness.

scholarly journals Energy-saving behavior of households in a digital and nature-like economy as an object of research

2021 ◽  
Vol 106 ◽  
pp. 01021
Author(s):  
Rais Burganov ◽  
Ludmlia Maimakova ◽  
Emina Altynbaiva
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Integrated Approach ◽  
Theoretical Concepts ◽  
Household Level ◽  
Institutional Infrastructure ◽  
Saving Behavior ◽  
Comprehensive Manner ◽  
The Government ◽  
Energy Saving Process

The study of the behavioral aspects of households in the field of energy conservation is one of the activities of the global energy policy. From this perspective, the topic of the article is relevant. The purpose of the study is to consider the theoretical and methodological basis for studying the transformation of energy-saving behavior of a household in the context of the introduction of digital and nature-like technologies. The authors, based on the use of provisions (neoclassicism, institutionalism and Keynesianism), investigated the essence and manifestations of energy-saving behavior of a household in such conditions. For a deeper study, an analysis of organizational forms, institutional infrastructure, technical and technological relations arising in the process of energy consumption is proposed. Based on this analysis, a number of results have been obtained. The very concept of “energy” is used in a broad sense, as consisting of many of its types and used in consumption by households. The overall result of the study is the provision that the energy-saving behavior of households should be investigated in a comprehensive manner with the integration of various theoretical concepts. In the absence of such an integrated approach, the energy-saving process at the household level will be divided into different actions, including contradictory or even opposite ones, which will affect the effectiveness of the government measures taken.

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

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7634
Author(s):  
Jin Zhang ◽  
Lianrui Ma ◽  
Jinkai Li
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Energy Awareness ◽  
Low Carbon ◽  
Rapid Urbanization ◽  
Household Energy ◽  
Consumption Behavior ◽  
Household Energy Consumption ◽  
Energy Behavior ◽  
Saving Behavior

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.

Energy-Saving Behavior of Windows for Public Buildings in Cold Region

2012 ◽  
Vol 598 ◽  
pp. 45-48
Author(s):  
Qiu Xia Wang ◽  
Xiao Tong Peng
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Thermal Insulation ◽  
Design Procedure ◽  
Northern Region ◽  
Cold Region ◽  
Public Building ◽  
Design Standard ◽  
Saving Behavior

The design of windows and glazing curtains is the key point in energy-saving design procedure. According to the investigation and analysis, energy losing through windows is in the majority of overall energy consumption. The types and behaviors of energy saving windows are discussed in brief. According to the specification of Design Standard for Energy Efficiency of Public Building of China, the thermal insulation performances of exterior windows are analyzed theoretically. On the basis of climate characters of cold region in china and requirements of the criterion for public architectures energy-saving design，the proper types for the northern region of china are put forward, and therefore provide references for architectural designers.

The Research of Measuring Approach and Energy Efficiency for Hadoop Periodic Jobs

2015 ◽  
Vol 8 (1) ◽  
pp. 206-210 ◽  
Author(s):  
Yu Junyang ◽  
Hu Zhigang ◽  
Han Yuanyuan
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Estimate ◽  
Cloud Platform ◽  
Periodic Tasks ◽  
Current Consumption ◽  
Reduce Energy Consumption

Current consumption of cloud computing has attracted more and more attention of scholars. The research on Hadoop as a cloud platform and its energy consumption has also received considerable attention from scholars. This paper presents a method to measure the energy consumption of jobs that run on Hadoop, and this method is used to measure the effectiveness of the implementation of periodic tasks on the platform of Hadoop. Combining with the current mainstream of energy estimate formula to conduct further analysis, this paper has reached a conclusion as how to reduce energy consumption of Hadoop by adjusting the split size or using appropriate size of workers (servers). Finally, experiments show the effectiveness of these methods as being energy-saving strategies and verify the feasibility of the methods for the measurement of periodic tasks at the same time.

Design and Implementation of Low Energy Wireless Network Nodes based on Hardware Compression Acceleration

2019 ◽  
Vol 12 ◽  
Author(s):  
Hui Yang ◽  
Anand Nayyar
Keyword(s):  
Energy Consumption ◽  
Data Compression ◽  
Energy Saving ◽  
Optimization Design ◽  
Hardware Acceleration ◽  
Transmission Efficiency ◽  
General Purpose ◽  
Storage Space ◽  
General Purpose Processor ◽  
Compression Time

: In the fast development of information, the information data is increasing in geometric multiples, and the speed of information transmission and storage space are required to be higher. In order to reduce the use of storage space and further improve the transmission efficiency of data, data need to be compressed. processing. In the process of data compression, it is very important to ensure the lossless nature of data, and lossless data compression algorithms appear. The gradual optimization design of the algorithm can often achieve the energy-saving optimization of data compression. Similarly, The effect of energy saving can also be obtained by improving the hardware structure of node. In this paper, a new structure is designed for sensor node, which adopts hardware acceleration, and the data compression module is separated from the node microprocessor.On the basis of the ASIC design of the algorithm, by introducing hardware acceleration, the energy consumption of the compressed data was successfully reduced, and the proportion of energy consumption and compression time saved by the general-purpose processor was as high as 98.4 % and 95.8 %, respectively. It greatly reduces the compression time and energy consumption.

scholarly journals Systematic Method for the Energy-Saving Potential Calculation of Air-Conditioning Systems via Data Mining. Part I: Methodology

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 81
Author(s):  
Rongjiang Ma ◽  
Shen Yang ◽  
Xianlin Wang ◽  
Xi-Cheng Wang ◽  
Ming Shan ◽  
...  
Keyword(s):  
Data Mining ◽  
Energy Consumption ◽  
Energy Saving ◽  
Air Conditioning ◽  
Storage System ◽  
Operation Mode ◽  
Systematic Method ◽  
Potential Analysis ◽  
Energy Saving Potential ◽  
Air Conditioning Systems

Air-conditioning systems contribute the most to energy consumption among building equipment. Hence, energy saving for air-conditioning systems would be the essence of reducing building energy consumption. The conventional energy-saving diagnosis method through observation, test, and identification (OTI) has several drawbacks such as time consumption and narrow focus. To overcome these problems, this study proposed a systematic method for energy-saving diagnosis in air-conditioning systems based on data mining. The method mainly includes seven steps: (1) data collection, (2) data preprocessing, (3) recognition of variable-speed equipment, (4) recognition of system operation mode, (5) regression analysis of energy consumption data, (6) constraints analysis of system running, and (7) energy-saving potential analysis. A case study with a complicated air-conditioning system coupled with an ice storage system demonstrated the effectiveness of the proposed method. Compared with the traditional OTI method, the data-mining-based method can provide a more comprehensive analysis of energy-saving potential with less time cost, although it strongly relies on data quality in all steps and lacks flexibility for diagnosing specific equipment for energy-saving potential analysis. The results can deepen the understanding of the operating data characteristics of air-conditioning systems.

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