scholarly journals Understanding Residential Electricity Consumption Considering Energy Efficiency Policies and The Impact On the Electricity System

2016 ◽  
Vol 4 (2) ◽  
Author(s):  
Meryem Tumbuz ◽  
Hatice Muğlkoç
Keyword(s):  
Energy Efficiency ◽  
Behavioral Change ◽  
Electricity Consumption ◽  
Allocation Problem ◽  
General View ◽  
Electricity Use ◽  
Generation Cost ◽  
Residential Electricity ◽  
Energy Efficiency Policies ◽  
The Impact

Electricity consumption increases substantially over the years where residential use significantly contributes to the overall consumption. The growth in the population and variety of home appliances together with increasing comfort levels of the people results in higher levels of residential electricity use. In fact, nearly one fourth of Turkey's total electricity consumption is due to the domestic use. To achieve global sustainability targets and reduce the overall electricity use, focusing on the domestic consumption is crucial. In this research, the energy consumptions patterns of households are determined to identify the potential electricity savings existing in the residential sector. Moreover, specific policy recommendations, which can promote the behavioral change, are driven by measuring the responsiveness of people to different measures and the combinations of these measures such as information, feedback, rewards, and social influences. A survey was conducted to determine the patterns and the responsiveness of the residential customers. The results obtained from the survey are used to depict a general view of Turkish households towards electricity consumption behaviors and their energy efficiency attitudes. Responses indicate there should be more regulations and improvements in energy policy. An electricity allocation problem is solved in order to see possible impacts of behavioral change measures on the network. Scenarios are defined for each policy and allocation problem is solved to see the possible generation cost reduction. Also, gas emissions for each scenario is recorded to understand the possible effects of policies on the environment. Results show that behavioral change studies seem to be well worth to study. In order to reach residential efficiency, possible policy alternatives are suggested for Turkish households.

DEVELOPMENT AND THE IMPACT OF CLIMATE CHANGE ON ENERGY DEMAND: EVIDENCE FROM BRAZIL

2010 ◽  
Vol 01 (03) ◽  
pp. 187-208 ◽  
Author(s):  
GUILHERME DEPAULA ◽  
ROBERT MENDELSOHN
Keyword(s):  
Climate Change ◽  
Low Income ◽  
Energy Demand ◽  
Electricity Consumption ◽  
Low Latitude ◽  
Cross Sectional ◽  
Electricity Use ◽  
Long Run ◽  
Residential Electricity ◽  
The Impact

This paper investigates the effects of climate on residential electricity use for households from different income classes in Brazil. Using cross-sectional data, the study finds that the temperature elasticity of electricity consumption varies significantly across income classes. The temperature elasticity of low income households is not significantly different from zero but middle and high income families have a long run temperature elasticity of 0.8 and 1.6 respectively. As emerging low latitude countries develop and incomes rise, the welfare damages of warming in the energy sector will become substantial.

scholarly journals Impact of Passive Energy Efficiency Measures on Cooling Energy Demand in an Architectural Campus Building in Karachi, Pakistan

2021 ◽  
Vol 13 (13) ◽  
pp. 7251
Author(s):  
Mushk Bughio ◽  
Muhammad Shoaib Khan ◽  
Waqas Ahmed Mahar ◽  
Thorsten Schuetze
Keyword(s):  
Energy Efficiency ◽  
Energy Demand ◽  
Electricity Consumption ◽  
Information Modeling ◽  
Base Case ◽  
Energy Efficiency Measures ◽  
Efficiency Measures ◽  
The Impact ◽  
Cooling Energy Demand ◽  
Campus Building

Electric appliances for cooling and lighting are responsible for most of the increase in electricity consumption in Karachi, Pakistan. This study aims to investigate the impact of passive energy efficiency measures (PEEMs) on the potential reduction of indoor temperature and cooling energy demand of an architectural campus building (ACB) in Karachi, Pakistan. PEEMs focus on the building envelope’s design and construction, which is a key factor of influence on a building’s cooling energy demand. The existing architectural campus building was modeled using the building information modeling (BIM) software Autodesk Revit. Data related to the electricity consumption for cooling, building masses, occupancy conditions, utility bills, energy use intensity, as well as space types, were collected and analyzed to develop a virtual ACB model. The utility bill data were used to calibrate the DesignBuilder and EnergyPlus base case models of the existing ACB. The cooling energy demand was compared with different alternative building envelope compositions applied as PEEMs in the renovation of the existing exemplary ACB. Finally, cooling energy demand reduction potentials and the related potential electricity demand savings were determined. The quantification of the cooling energy demand facilitates the definition of the building’s electricity consumption benchmarks for cooling with specific technologies.

Behavioural interventions yield electricity savings among high-income households in Johannesburg, South Africa

2021 ◽  
pp. 0958305X2110443
Author(s):  
Stephanie P Williams ◽  
Gladman Thondhlana ◽  
Harn Wei Kua
Keyword(s):  
South Africa ◽  
Electricity Consumption ◽  
Positive Influence ◽  
High Income ◽  
Control Group ◽  
Behavioural Interventions ◽  
Electricity Use ◽  
Size Number ◽  
Electricity Saving ◽  
The Impact

The societal benefits of addressing wasteful electricity use practices through behavioural interventions are now well-established. Surprisingly, in South Africa, where the economy is highly dependent on fossil fuel (coal) for electricity generation, this subject remains little studied and understood. The residential sector is a major electricity consumer, and high-income households, in particular, use a substantial proportion of total electricity with serious adverse impacts on grid stability and the environment, which can disproportionately affect the poor. Using a field-based experiment, this study examines the impact of behavioural interventions on household electricity savings and the determinants of success among high-income households in Johannesburg, South Africa. Over the intervention period, households exposed to a combination of electricity-saving information, frequent reminders and feedback on monthly electricity-saving performance showed mean electricity savings of about 1.5%, ranging from 2% to 4% of electricity, while households in the control group showed increased electricity consumption by approximately 11%. Out of all the demographic and personal value factors considered, age, achievement and benevolence promoted electricity savings, while household size, number of rooms, baseline electricity consumption and security inhibited savings. The findings empirically validate the impact of behavioural interventions on, and the positive influence of, personal values in promoting participation in electricity-saving actions within households.

scholarly journals Determining the efficiency of residential electricity consumption

2020 ◽  
Author(s):  
Mark A. Andor ◽  
David H. Bernstein ◽  
Stephan Sommer
Keyword(s):  
Energy Efficiency ◽  
Stochastic Frontier Analysis ◽  
Energy Savings ◽  
Stochastic Frontier ◽  
Electricity Consumption ◽  
Frontier Analysis ◽  
Residential Electricity ◽  
Main Determinants ◽  
Residential Electricity Consumption ◽  
Reduction Of Energy Consumption

AbstractIncreasing energy efficiency is a key global policy goal for climate protection. An important step toward an optimal reduction of energy consumption is the identification of energy saving potentials in different sectors and the best strategies for increasing efficiency. This paper analyzes these potentials in the household sector by estimating the degree of inefficiency in the use of electricity and its determinants. Using stochastic frontier analysis and disaggregated household data, we estimate an input requirement function and inefficiency on a sample of 2000 German households. Our results suggest that the mean inefficiency amounts to around 20%, indicating a notable potential for energy savings. Moreover, we find that household size and income are among the main determinants of individual inefficiency. This information can be used to increase the cost-efficiency of programs aimed to enhance energy efficiency.

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