Analyzing the causal relations between electric power consumption and economic growth in India

2016 ◽  
Vol 29 (4) ◽  
pp. 28-35 ◽  
Author(s):  
Anita Kumari ◽  
A.K. Sharma
Author(s):  
M. Allali ◽  
M. Tamali ◽  
M. Rahli

Emissions of global warming gases continue to rise as the world burns ever more coal, oil and gas for energy. The article, aims to run an investigation nexus between carbon dioxide (CO2) emission per capita and economic growth of energy consumption in over the period 1990-2100. To evaluate the impact of CO2 emission on relative variables, this study verifies that there is positive long-run relationship among CO2 emissions, Electric power consumption and Energy use. This paper also proves bi-directional causality between CO2 emission and electric power consumption (modeling the impact of CO2 emission on output especially in Algeria and because of the vast majority of natural gas is imported from Algeria to Morocco so the authors use the same model for Morocco and compare the results obtained and see what the different causes that influence these results). The policy makers may evaluate exogenous effect to seeking economic growth for global climate warming and to formulate energy policies.


2011 ◽  
Vol 8 (1) ◽  
pp. 233-238
Author(s):  
R.M. Bogdanov ◽  
S.V. Lukin

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.


1985 ◽  
Vol 19 (9) ◽  
pp. 478-483
Author(s):  
S. B. Elakhovskii ◽  
S. I. Sorokina ◽  
E. N. Smirnova

2015 ◽  
Vol 23 (01) ◽  
pp. 1550002
Author(s):  
Sunhee Oh ◽  
Yong Cho ◽  
Rin Yun

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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