Simulation of Biogas Utilization Effect on The Economic Efficiency and Greenhouse Gas Emission: A Case Study in Isfahan, Iran

被引:36
作者
Ariae, Afrooz Rahimi [1 ]
Jahangiri, Mehdi [2 ]
Fakhr, Mehdi Haghgo [3 ]
Shamsabadi, Akbar Alidadi [4 ]
机构
[1] Sepehr Inst Higher Educ, Dept Architecture, Esfahan, Iran
[2] Islamic Azad Univ, Dept Mech Engn, Shahrekord Branch, Shahrekord, Iran
[3] Iran Univ Sci & Technol, Sch New Technol, Dept Energy Syst Engn, Tehran, Iran
[4] Islamic Azad Univ, Young Researchers & Elite Club, Shahrekord Branch, Shahrekord, Iran
来源
INTERNATIONAL JOURNAL OF RENEWABLE ENERGY DEVELOPMENT-IJRED | 2019年 / 8卷 / 02期
关键词
Cattle dung; HOMER; Hybrid energy systems; Investment return; Biogas; Isfahan; Greenhouse gas; Economic; RENEWABLE ENERGY SYSTEM; ELECTRICITY-GENERATION; POWER-GENERATION; CO2; EMISSIONS; WIND POWER; FEASIBILITY; SOUTH; OPTIMIZATION; SOLAR; PERFORMANCE;
D O I
10.14710/ijred.8.2.149-160
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Biomass is a type of renewable energy that, in despite of its potentials and advantages including simple production technology, decreasing environmental issues, and energy generation capacity at the consumption site, has not been sufficiently utilized in Iran. Since, due to statistics, Isfahan enjoys remarkable prospects in terms of wind, solar and biomass energies, a combined system of indigenous energy sources for powering a cattle farm has been investigated and evaluated in this study. To evaluate the possibility of the optimal system for comparative reasons, the HOMER software was used. The designed hybrid system was a wind-solar-biomass generator that used a battery saver as backup. Although it seems that wind and solar energies have the highest potential for energy generation in Isfahan, the results showed that biomass, by itself, can provide the required power for a cattle farm. In fact. biomass energy was more economically efficient than wind and solar energies. Owing to the low electricity cost, generated from fossil fuels, in Iran, relative to a large number of countries. the findings revealed that using biomass for generating the electricity of a cattle farm will compensate the expenses by the mid-15th year and will generate profit for 9.5 years later. The results also showed that the solar cell-based hybrid system is cheaper than the wind turbine-based one. Regarding the price of per kWh of electricity produced, the results showed that the biomass generator system with the price 0.12 $/kWh is the cheapest, and the solar cell-based and wind turbine-based hybrid systems are 3.33% and 10.83% more expensive, respectively. The results can be used for electricity generation with minimum pollution and expenses in the same regions. (C) 2019. CBIORE-IJRED. All rights reserved
引用
收藏
页码:149 / 160
页数:12
相关论文
共 68 条
[61]  
Soufi T., 2015, B ENV PHARM LIFE SCI, V4, P357
[62]   PSO-based multi-criteria optimum design of A grid-connected hybrid power system with multiple renewable sources of energy [J].
Wang, Lingfeng ;
Singh, Chanan .
2007 IEEE SWARM INTELLIGENCE SYMPOSIUM, 2007, :250-+
[63]   The contribution of non-fossil power generation to reduction of electricity-related CO2 emissions: A panel quintile regression analysis [J].
Wang, Yongpei ;
Zhang, Qian ;
Li, Chenhua .
JOURNAL OF CLEANER PRODUCTION, 2019, 207 :531-541
[64]  
World Energy Council, 2016, WORLD EN RES BIOEN 2, V2016
[65]   Spatial Site Selection for Solar Power Plants Using a GIS-Based Boolean-Fuzzy Logic Model: A Case Study of Markazi Province, Iran [J].
Yousefi, Hossein ;
Hafeznia, Hamed ;
Yousefi-Sahzabi, Amin .
ENERGIES, 2018, 11 (07)
[66]   Design and optimization of heating, cooling and lightening systems for a residential villa at Saman city, Iran [J].
Zaniani, Javad Riahi ;
Ghahfarokhi, Shahab Taghipour ;
Jahangiri, Mehdi ;
Shamsabadi, Akbar Alidadi .
JOURNAL OF ENGINEERING DESIGN AND TECHNOLOGY, 2019, 17 (01) :41-52
[67]   Evaluation of biogas potential from livestock manures and rural wastes using GIS in Iran [J].
Zareei, Samira .
RENEWABLE ENERGY, 2018, 118 :351-356
[68]  
Zhou X, 2018, P ASME INT C OCEAN