Development of Strategic Management in Order to Reduce Greenhouse Gases Caused By Energy Consumption Using the Leap Method in Industrial Towns (Case Study Of Lea Industrial Town)
Subject Areas :
Keywords: greenhouse gas emissions, Scenario Analysis, country's industries, LEAP model,
Abstract :
Mohammad Saeed Mohammadi1, Alireza Vafainejad*2, Ali Mohammadi3 1- Ph.D student,, Department of Environmental Management, Science and Research Unit, Islamic Azad University, Tehran, Iran 2- Department of Water and Environmental Engineering, Shahid Beheshti University, Tehran, Iran 3- Environmental Management Department, Science and Research Unit, Islamic Azad University, Tehran, Iran * Corresponding author: a_vafaei@sbu.ac.ir Global warming caused by greenhouse gases (GHGs) is recognized as a global problem. Among all the greenhouse gases, carbon dioxide is considered the most important greenhouse gas and almost half of the effects of greenhouse gases are related to the existence of this gas. Fossil fuel consuming industries are among the most important greenhouse gas emitting industries, especially carbon dioxide. In this study, the impact of applying different policies to reduce carbon dioxide and save energy in Iran's industries has been investigated and evaluated by the energy planning model. ) in the current industries as well as determining the current and future demand of Iranian industries during the years 2019 to 2035 have been studied. Therefore, the current and future productions in the country's industries and the investigation of energy consumption and carbon dioxide emission in the country's industries were determined by the LEAP model in the base scenario. Then, 4 alternative scenarios of energy saving technologies and reducing carbon dioxide emissions including industrial development and capacity building, possible increase in fuel and electricity prices, implementation of fuel consumption standards were investigated. The obtained results indicate that the total co2 emissions of the industry will increase from 61 million tons in the base scenario to 53 million tons in the emission reduction scenario in 2035.
_||_