scholarly journals Understanding the relationship between electric power consumption, technological transfer, financial development and environmental quality

2021 ◽  
Author(s):  
Bassem Kahouli ◽  
Benayan Bani Alrasheedy ◽  
Nahla Chaaben ◽  
Rabab Triki
Keyword(s):  
Power Consumption ◽  
Electric Power ◽  
Financial Development ◽  
Environmental Quality ◽  
Electric Power Consumption ◽  
Technological Transfer ◽  
The Relationship

scholarly journals Understanding the Relationship between Electric Power Consumption, Technological Transfer, Financial development and Environmental Quality.

2021 ◽  
Author(s):  
Bassem Kahouli ◽  
Benayan Bani Alrasheedy ◽  
Nahla Chaaben ◽  
Rabab Triki
Keyword(s):  
Power Consumption ◽  
Electric Power ◽  
Financial Development ◽  
Environmental Quality ◽  
Electric Energy ◽  
Electric Power Consumption ◽  
Distributed Lag ◽  
Technological Transfer ◽  
Long Run ◽  
Short Run

Abstract This research paper attempts to investigate both the long-run and causality relationship among electric power consumption (EPC), technological transfer, financial development (FD), and environmental quality for the Saudi Arabia (KSA) economy from 1980 to 2019. In doing so, we propose a carbon emission function tested by incorporating multi-steps techniques such as autoregressive distributed lag (ARDL) has been exploited to determine the existence of cointegration or no; while vector error correction model (VECM) has been applied to decide the direction of causality. In this paper we have proposed two proxies of technological transfer, namely imported technology (MT) and Technical cooperation grants (TCG). The results indicate the existence of cointegration between the concerned series. Besides, the existence of a feed-back effect among variables (except TCG) in the long-run. However, in the short run feed-back effect exists among EPC and EnvQ; MT and EnvQ; EPC and MT. Thus, the paper provides original visions for policy makers to encourage the technological transfer by financing and supporting the electric energy sector which constitutes the main locomotive to improve the environment quality for the KSA.JEL classification : C32, C52, O11, Q43

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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