An Empirical Study of Real-time Feedback and Dynamic Pricing Effects on Electric Power Consumption - Field Experiment on a Remote Island in Japan

2015 ◽  
Author(s):  
Koji Shimada ◽  
Yuki Ochi ◽  
Takuya Matsumoto ◽  
Hiroshi Matsugi ◽  
Takao Awata
Keyword(s):  
Empirical Study ◽  
Power Consumption ◽  
Field Experiment ◽  
Electric Power ◽  
Real Time ◽  
Dynamic Pricing ◽  
Electric Power Consumption ◽  
Remote Island

scholarly journals The Effects of Dynamic Pricing of Electric Power on Consumer Behavior: A Propensity Score Analysis for Empirical Study on Nushima Island, Japan

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2175 ◽  
Author(s):  
Thanh Ho ◽  
Sarana Shinkuma ◽  
Koji Shimada
Keyword(s):  
Consumer Behavior ◽  
Propensity Score ◽  
Power Consumption ◽  
Electric Power ◽  
Dynamic Pricing ◽  
Propensity Score Analysis ◽  
Experimental Period ◽  
Electric Power Consumption ◽  
Baseline Survey ◽  
Score Analysis

This study aimed to investigate the change of consumer behavior in electric power consumption after the application of dynamic pricing via real-time feedback. Afield experiment of dynamic pricing was carried out on Nushima Island, which is located in Hyogo Prefecture in central Japan. The panel data of hourly electric power consumption among 50 households (including 22 control households and 28 treated households) were collected from a baseline survey (14 days before the dynamic pricing experiment was conducted) and during the 14-day experimental period. Propensity score analysis with local linear matching was employed to analyze the average treatment effects of dynamic pricing on consumer behavior. The results report that dynamic pricing plays a crucial role in reducing consumers’ electric power consumption—by 9.6% compared to the pre-experimental period.

scholarly journals Analysis of the Effects of the Home Energy Management System from an Open Innovation Perspective

2018 ◽  
Vol 4 (3) ◽  
pp. 31 ◽  
Author(s):  
EungSuk Park ◽  
BoRam Kim ◽  
SooHyun Park ◽  
Daecheol Kim
Keyword(s):  
Power Consumption ◽  
Electric Power ◽  
Real Time ◽  
Energy Management ◽  
Management System ◽  
Electricity Consumption ◽  
Electric Power Consumption ◽  
Energy Management System ◽  
Home Energy Management ◽  
Home Energy Management System

The Home Energy Management System (HEMS) is a system for the efficient electric power consumption of each household. It can provide real-time electricity cost information according to electricity consumption, and households can immediately control their consumption of electricity. In this study, we analyzed the effects of the HEMS on the stability of demand for electric power. To do this, we analyzed the causal relationship between the amounts of electric power generation and consumption, from the system dynamics perspective. From the analysis, we found that in the current structure, the fluctuation of the quantity of demand became large due to the time delay in households recognizing the electric bill and adjusting their electric power consumption. However, when the HEMS was introduced, it could be seen that electric power demand remained stable since consumers could see their electricity bill in real-time and could manage their electricity consumption by themselves.

Software including the functions of automated analysis of electric power consumption in pipeline oil transportation

2011 ◽  
Vol 8 (1) ◽  
pp. 233-238
Author(s):  
R.M. Bogdanov ◽  
S.V. Lukin
Keyword(s):  
Power Consumption ◽  
Electric Power ◽  
Data Model ◽  
Automated Analysis ◽  
Petroleum Products ◽  
Electric Power Consumption ◽  
Scientific Center ◽  
Relational Data Model ◽  
Oil Transportation ◽  
Academy Of Sciences

Oil and petroleum products transportation is characterized by a significant cost of electric power. Correct oil and petroleum products accounting and forecasting requires knowledge of many factors. The software for norms of electric power consumption analysis for the planned period was developed at the Ufa Scientific Center of the Russian Academy of Sciences. Based on the principles of the relational data model, a schematic diagram/arrangement for the main oil transportation objects was developed, which allows to hold the initial data and calculated parameters in a structured manner.

Characteristics of losses incurred from restriction of water use and electric power consumption

1985 ◽  
Vol 19 (9) ◽  
pp. 478-483
Author(s):  
S. B. Elakhovskii ◽  
S. I. Sorokina ◽  
E. N. Smirnova
Keyword(s):  
Power Consumption ◽  
Electric Power ◽  
Water Use ◽  
Electric Power Consumption

Optimization of a Raw Water Source Heat Pump for a Vertical Water Treatment Building

2015 ◽  
Vol 23 (01) ◽  
pp. 1550002
Author(s):  
Sunhee Oh ◽  
Yong Cho ◽  
Rin Yun
Keyword(s):  
Power Consumption ◽  
Electric Power ◽  
Flow Rate ◽  
Storage Tank ◽  
Water Flow Rate ◽  
Water Source ◽  
Thermal Storage ◽  
Electric Power Consumption ◽  
Air Flow Rate ◽  
Circulating Water

The optimum operation conditions of a raw water source heat pump for a vertical water treatment building were derived by changing operation parameters, such as temperature of thermal storage tank, temperature and inlet air flow rate of the conditioned spaces, and circulating water flow rate between thermal storage tank and air handling unit (AHU) through dynamic simulator of a transient system simulation program (TRNSYS). Minimum electric power consumption was found at temperature of thermal storage tank, which was ranged 18–23°C for cooling season. In heating season, temperature 40–45°C brings the highest coefficient of performance (COP) and temperature range of 30–35°C brings the lowest power consumption. When the temperature of the conditioned spaces was controlled between 27–28°C for cooling season, and 18–20°C for heating season the minimum electric power consumption was obtained. Inlet air flow rate of 1.1 m3/h for the conditioned spaces shows the highest performance of the present system, and effects of circulating water flow rate between thermal storage tank and AHU on minimum electric power consumption of the system were negligible.

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