Arash Farnoosh

Prof. Arash Farnoosh


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 September 2024 in Journal of Environmental Management
Verified
Journal Article
Closed access
HLHengyu Lyu
Hengyu Lyu
CMChun-Ai Ma
Chun-Ai Ma
AFArash Farnoosh
Arash Farnoosh

28 May 2022
Verified
Book Chapter
Open access
PDF file
AFArash Farnoosh
Arash Farnoosh
This chapter provides an introduction to the economics of electricity generation based on four different energy sources: coal, oil, natural gas, and biofuel. It covers the various technologies of power production and their key economics characteristics including CAPEX, OPEX, dispatchability, flexibility, location, and expected service life. The formula and calculations are provided for further analysis of power generation projects in view of optimizing the choice of technology. Some conclusions are drawn from comparative analysis of coal-, oil-, gas-, and biofuel-fired power generation units.


6 March 2025 in International Journal of Hydrogen Energy
Verified
Journal Article
Closed access
WJWang Jianliang
Wang Jianliang
FJFan Jingjing
Fan Jingjing
ZBZhu Bohan
Zhu Bohan
AFArash Farnoosh
Arash Farnoosh

8 January 2021 in Strategic Change
Verified
Journal Article
Closed access
PDF file
ZZZhiqin Zou
Zhiqin Zou
AFArash Farnoosh
Arash Farnoosh
TMTom McNamara
Tom McNamara

7 September 2019 in Sustainability
Verified
Journal Article
Open access
PDF file
SHSong Han
Song Han
CLChangqing Lin
Changqing Lin
BZBaoSheng Zhang
BaoSheng Zhang
AFArash Farnoosh
Arash Farnoosh
In this research, we established a System Dynamics Model named “E&I-SD” to study the development of the energy structure and industrial structure in China from 2000 to 2030 using Vensim Simulation Software based on energy economy theory, system science theory and coordinated development theory. We used Direct Structure Test, Structure-oriented Behavior Test, and Behavior Pattern Test to ensure the optimal operation of the system. The model’s results showed that the indicators of total energy consumption, total added value of GDP after regulation, energy consumption per capita, and GDP per capita were on the rise in China, but emissions per unit of energy showed a downward trend. Separately, the model predicted average annual growth rates in China through 2030. Based on these findings, we proposed important policies for China’s sustainable development. Firstly, short- and long-term policy measures should be implemented to replace fossil fuels with clean energy. Secondly, the utilization efficiency of raw coal should be appraised future. The planning should provide for steady development and improvement of the primary, secondary, and tertiary sectors. Thirdly, the mid- and long-term plans for development and management of various industrial sectors and the corresponding energy consumption should be based on technological trends. Finally, a market-oriented pricing mechanism for energy should be established in China as soon as possible.