April 25, 2024
Arash Khosravi

Arash Khosravi

Academic Rank: Assistant professor
Address: Faculty of Petroleum, Gas and Petrochemical Engineering, Persian Gulf University, Bushehr 75169, Iran
Degree: Ph.D in Chemical Engineering
Phone: 077-31222640
Faculty: Faculty of Petroleum, Gas and Petrochemical Engineering

Research

Title
Modeling of Energy Demand in Bushehr Province Using the LEAP Model
Type Thesis
Keywords
مديريت انرژي, تقاضاي انرژي مفيد, مدل ليپ, سناريو وضعيت موجود, سناريو حالت بدبينانه, سناريو حالت خوشبينانه
Researchers Ahmad Jamekhorshid (Primary advisor) , Arash Khosravi (Primary advisor) , AmirHossein Fakehi Khorasani (Advisor)

Abstract

Energy management or energy engineering is the study of simulation techniques of hybrid systems (cycle of production, distribution and consumption of energy) with the aim of assessing the position of energy carriers. In energy management, a specialized step is taken to study systems from the perspective of energy engineering. Also, with the help of the basic laws of mechanical sciences, thermodynamics and power, as the basis of initial modeling for energy balance of systems, leads the direction of current technologies to optimize and minimize energy consumption and can integrate views in energy management, decision making Plan efficiently in energy industries and sectors, including the Ministry of Oil and the Ministry of Energy, and assist the country's planning management by considering technical issues related to the energy process Based on studies in the field of energy demand modeling and based on information and statistics available in the sectors of housing, trade and services, transportation, agriculture and industry in the period 2005 to 2015, try to predict demand. In the next 20 years (years 2016 to 2032). After explaining the methodology of the model, Lip model was selected as a model for simulation to optimize the useful energy demand suitable for developing countries. Then, the quantitative results of this model were examined in the form of three growth scenarios based on "continuation of the current trend", "pessimistic state" and "optimistic state". The current situation scenario in the household sector shows no change in population growth rate, urban population distribution and the percentage of household equipment utilization. Also in this scenario, the growth rate of replacement of home appliances technologies remains constant. The current situation scenario in the trade and services, transport, agriculture and industry sectors shows that economic growth and energy intensity will not change. In this scenario, the amount of energy consumption in the