0% Complete
صفحه اصلی
/
بیست و نهمین کنفرانس مهندسی برق ایران
A Novel Model for Backcasting the Environmental Sustainability in Iran’s Electricity Supply Mix
نویسندگان :
Mohammad Saeid Atabaki
1
Mohammad Mohammadi
2
1- Kharazmi University
2- دانشگاه خوارزمی
کلمات کلیدی :
backcasting, environmental sustainability, electricity generation, genetic algorithm
چکیده :
Electricity supply planning is a complex problem, especially in the era of day-to-day development in power generation technologies that each of which has its own specific technical and economic characteristics. Taking environmental aspects into consideration makes the problem even more complicated. Therefore, developing new efficient approaches to deal with this problem is of crucial importance. This paper proposes a model for backcasting the environmental sustainability in the power supply mix. The suggested model combines a genetic algorithm, a linear programming model, and an AHP-TOPSIS method. The model is used to analyze Iran's power sector. The results show that solar PV and wind turbine are two promising technologies for Iran's long-term power supply. The results also indicate that the environmentally sustainable plan would give rise to a reduction of per unit CO2 and SO2 emissions, as well as water consumption, but it would cause an increase in land use. The findings indicate that to keep CO2 emissions decreasing trend in the long-run, it is essential to expand the potential capacity of renewables, and also to devise efficient plans to reduce the demand.
لیست مقالات
لیست مقالات بایگانی شده
Brain Tumor Segmentation using Multimodal MRI and Convolutional Neural Network
Nazila Loghmani - Roqaie Moqadam - Armin Allahverdy
A Novel RBFNN-Based Triple Terminal Sliding Mode Control for robotic manipulators
Mahdi Armoon - Marzie Lafouti - Babak Tavassoli - Hamid D.Taghirad
Analysis the Effect of Partial Transmission Element on the Performance of Fano Laser
Mohammad Heydari - Mohammadhasan Yavari - Aref Rasoulzadeh Zali
Study of Multiple Teeth Linear Switched and Hybrid Reluctance Motors
Mohammad Amin Jalali Kondelaji - Ali Ghaffarpour - Mojtaba Mirsalim
Image steganography Based on Chaos permutation, authentication and wiener deconvolution
Ali Sheidaee - Mohammad Asadpour - Leili Farzinvash
Transmission Dynamics and Optimal Control Strategy to Mitigate the Spread of Novel Coronavirus: The Case of Iran
Reza Shadi - Ahmad Fakharian - Hamid Khaloozadeh
The Use of Additive Decomposition and Deep Neural Network for Photovoltaic Power Forecasting
Fariba Dehghan - Mohsen Parsa Moghaddam - Maryam Imani
Optimal Design of a Synchronous Reluctance Motor Using BioGeography-Based Optimization
Tohid Sharifi - Mojtaba Mirsalim
A Consensus-Based Approach for Short-Circuit Fault Type Detection in DC Microgrids Using ANFIS
Mohammadreza Mohammadhasani - Javad Sadeh
Binomial Distribution based K-means for Graph Partitioning Approach in Partially Reconfigurable Computing system
Zahra Asgari - Maryam Sadat Mastoori
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.8.0