Net-metering and Feed-in-Tariff policies for the optimum billing scheme for future industrial PV systems in Bangladesh

被引:29
作者
Kabir, Md. Ahsan [1 ]
Farjana, Faija [1 ]
Choudhury, Rukhsana [1 ]
Kayes, Ahmed Imrul [1 ]
Ali, Md Sawkat [2 ]
Farrok, Omar [3 ]
机构
[1] Mil Inst Sci & Technol, Dept Elect Elect & Commun Engn, Dhaka, Bangladesh
[2] East West Univ, Dept Comp Sci & Engn, Dhaka, Bangladesh
[3] Ahsanullah Univ Sci & Technol, Dept Elect & Elect Engn, Dhaka, Bangladesh
关键词
Bangladesh; Feed-in-tariff; Industrial PV; Net energy metering; NPV; Payback time; RENEWABLE ENERGY; SOLAR PV; DISTRIBUTED GENERATION; ALTERNATIVES; IMPACTS;
D O I
10.1016/j.aej.2022.08.004
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, the economic sustainability of net billing and feed-in-tariff (all energy buy/sell) method is analyzed in comparison with the current net-metering for the industrial PV systems in Bangladesh. Three billing methods are compared according to plant capacity factor, excess energy transfer, levelized cost of energy (LCOE), net present value (NPV), payback period, and profitability index (PI) for the analysis of optimum billing scheme. The highest plant capacity factor and minimum LCOE are found for the large PV system in Chattogram. Out of three methods, all energy buy/sell exhibits the NPV which is USD 5.85 million and PI of 2.54 at the minimum 4.9 years discounted payback time for the large PV system in Chattogram. The sensitivity analysis of solar irradiation at six other regional areas, bill escalation rate, and discount factor is performed to observe the impact on annual energy production and NPV. For both systems, all three assessed methods are found economically feasible, but the net metering is attained as the least profitable in comparison with net billing and all energy buy/sell schemes. From various analyses, it is found that the adaption of these two schemes in the present guideline can enhance industrial PV production in Bangladesh. (c) 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页码:157 / 174
页数:18
相关论文
共 87 条
[1]  
A. International Renewable Energy, 2016, REN CAP STAT 2021
[2]   Solar power technology for electricity generation: A critical review [J].
Ahmadi, Mohammad Hossein ;
Ghazvini, Mahyar ;
Sadeghzadeh, Milad ;
Nazari, Mohammad Alhuyi ;
Kumar, Ravinder ;
Naeimi, Abbas ;
Ming, Tingzhen .
ENERGY SCIENCE & ENGINEERING, 2018, 6 (05) :340-361
[3]   Alternative energy resources in Bangladesh and future prospect [J].
Ahmed, Ferdous ;
Al Amin, Abul Quasem ;
Hasanuzzaman, M. ;
Saidur, R. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 25 :698-707
[4]   Photovoltaic Panels Classification Using Isolated and Transfer Learned Deep Neural Models Using Infrared Thermographic Images [J].
Ahmed, Waqas ;
Hanif, Aamir ;
Kallu, Karam Dad ;
Kouzani, Abbas Z. ;
Ali, Muhammad Umair ;
Zafar, Amad .
SENSORS, 2021, 21 (16)
[5]   The state of renewable energy development in South Africa: An overview [J].
Akinbami, Olusola M. ;
Oke, Samuel R. ;
Bodunrin, Michael O. .
ALEXANDRIA ENGINEERING JOURNAL, 2021, 60 (06) :5077-5093
[6]   Nexus between non-renewable energy demand and economic growth in Bangladesh: Application of Maximum Entropy Bootstrap approach [J].
Alam, Mohammad Jahangir ;
Ahmed, Mumtaz ;
Begum, Ismat Ara .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 72 :399-406
[7]   A review of topological ordering based voltage rise mitigation methods for LV distribution networks with high levels of photovoltaic penetration [J].
Ali, Md Sawkat ;
Haque, Md Mejbaul ;
Wolfs, Peter .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2019, 103 :463-476
[8]   Early hotspot detection in photovoltaic modules using color image descriptors: An infrared thermography study [J].
Ali, Muhammad Umair ;
Saleem, Sajid ;
Masood, Haris ;
Kallu, Karam Dad ;
Masud, Manzar ;
Alvi, Muhammad Junaid ;
Zafar, Amad .
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2022, 46 (02) :774-785
[9]  
[Anonymous], ABOUT US
[10]  
[Anonymous], BEZA EC ZONE SITES