Implementation and Cost Analysis of a 550kW Hybrid power Plant in Mymensingh Engineering
College (MEC)
Muktadir Ahmed, Md. Salahuddin Parvez, Md. Mozammel Hossain Dept. of EEE
Mymensingh Engineering College (University of Dhaka) Mymensingh, Bangladesh
Abstract—In this year’s hybrid system have become the area of tremendous amount of research. Stand-alone hybrid system gives less expensive power stations in the outskirts of a city or in rural areas. In this paper we have been discussed about the implementation of a hybrid power plant MEC (Mymensingh Engineering College) and its cost analysis. For hybrid energy we have used renewable (PV and Wind Turbines) and conventional (diesel generator) energy. The National Renewable Energy Laboratory (NREL) optimization computer model for distributed power, “HOMER”, is used to simulate the system size and its cost.
Index Terms—PV panels, Wind turbines, Diesel generator, Converter.
I. INTRODUCTION
MEC is situated (24° 46.8945 N 90° 20.6638 E) at the outskirts of Mymensingh city and having a lot of power crisis.
So it is badly needed to implement a hybrid power plant for MEC. A well-planned power system combining wind energy and solar energy will dramatically reduce the overall cost and bring many other benefits [1]. An estimated 72TW of wind power on the Earth potentially can be commercially viable [2].
Solar energy is the radiant light and heat from the sun. Solar power provides electrical generation by means of heat engines or photovoltaic [3]. The recent emergence of wind power and solar energy as the major forms of generation, the conventional power planning typically relies on a large single generator. The renewable energy output tends to fluctuate depending on the time of a day and the time of a year [1]. So it’s feasible to implement a hybrid power plant in MEC. The HOMER software, NREL’s micro power optimization model, can evaluate a range of equipment options over varying constraints and sensitivities to optimize small power systems [4].
II. PROPOSAL OF HYBRID POWER PLANT IN MEC This section will discuss the model of hybrid plant, environmental performance of solar and wind energy in MEC
and about the HOMER implementation. Fig. 1 shows google map the planning area, the proposed hybrid power system is shown in fig. 2 and the load profile is shown in fig. 3.
Fig. 1. Google map of MEC.
Fig. 2. HOMER implementation of the proposed hybrid power system.
International Conference on Materials, Electronics & Information Engineering, ICMEIE-2015 05-06 June, 2015, Faculty of Engineering, University of Rajshahi, Bangladesh
www.ru.ac.bd/icmeie2015/proceedings/
ISBN 978-984-33-8940--4
Fig. 3. Daily load profile of MEC.
A. Equipment Consideration and Costing
The proposed hybrid model contains PV panels, PGE 20/25 wind turbines, converter, diesel generator and other miscellaneous things. The price of these things are taken from aliexpress online store. 150kW PV panels are needed in this proposed model which costs U$ 45000. It needed 4pcs of PGE 20/25 wind turbines which costs U$ 3240. The avg. solar and wind resource data are given in fig. 4 and fig. 5 respectively.
300kW converters and 300kW diesel generators costs U$
1500 and U$ 28000 respectively.
Monthly Solar radiation and wind speed is given below:
Fig. 4. Monthly solar radiation (kWh/m2/d).
Fig. 5. Monthly wind speed (m/s).
III. RESULT AND DISCUSSION
The simulation process serves two purposes. First, it determines whether the system is feasible. HOMER considers the system to be feasible if it can adequately serve the electric load and satisfy any other constraints imposed by the user. Second, it estimates the life-cycle cost of the system, which is the total cost of installing and operating the system over its lifetime. To be equitable, such comparisons must account for both capital and operating costs. Life-cycle cost analysis includes all costs that occur within the life span of the system. HOMER uses the total net present cost (NPC) to represent the life-cycle cost of a system [5]. From table 1 it’s seen that for this model we get four system architectures. The simulation result of four system architectures are given below:
TABLE I. OPTIMIZATION RESULT OF SYSTEM ARCHITECTURES
International Conference on Materials, Electronics & Information Engineering, ICMEIE-2015 05-06 June, 2015, Faculty of Engineering, University of Rajshahi, Bangladesh
www.ru.ac.bd/icmeie2015/proceedings/
ISBN 978-984-33-8940--4
TABLE II. NET PRESENT COST
TABLE III. ANNUAL COST
Fig. 6. Cash flow summary.
Fig. 7. Monthly avg. Electricity Production.
Fig. 8. PV Output.
Fig. 9. 4 PGE 20/25 Wind Turbines Output.
International Conference on Materials, Electronics & Information Engineering, ICMEIE-2015 05-06 June, 2015, Faculty of Engineering, University of Rajshahi, Bangladesh
www.ru.ac.bd/icmeie2015/proceedings/
ISBN 978-984-33-8940--4
Fig. 10. Diesel Generators Output.
Fig. 11. Inverter and Rectifier Output.
TABLE IV. EMISSION
TABLE V. COST SUMMARY
IV. CONCLUSION
The proposed system has been designed and optimized using HOMER for a hybrid power plant in Mymensingh Engineering College. All the optimization systems are ranked according to net present cost and all other economic outputs are calculated for the purpose of powering up Mymensingh Engineering College. System architecture 1 is best because it is the most cost effective where the levelized cost of energy U$ 1.574/kWh.
REFERENCES
[1] Wencong Su1, Student Member, IEEE, Zhiyong Yuan2, Mo-Yuen Chow3, Fellow, IEEE “Microgrid Planning and Operation: Solar Energy and Wind Energy”; 978-1-4244-6551-4/10/$26.00 ©2010 IEEE [2] "Mapping the global wind power resource," [Online].
Available:http://www.ceoe.udel.edu/windpower/Reso urceMap/index-world.html
[3] "Nano solar begins production of $1 per watt thin- film panels," [Online].Available:
http://www.nextenergynews.com/news1/next- energynews12.19d.html.
[4] T. Givler, P. Lilienthal, "Using HOMER® software, NREL’s micropower optimization model, to explore the role of gen-sets in small solar power systems case study: Sri Lanka." NREL/TP-710-36774,National Renewable Energy Laboratory, Golden, CO, May 2005.
[5] Ali Al-Karaghouli, L.L. Kazmerski, “Optimization and life-cycle cost of health clinic PV system for a rural area in southern Iraq using HOMER software”, 0038-092X/$ - see front matter _ 2010 Published by Elsevier Ltd.
doi:10.1016/j.solener.2010.01.024 International Conference on Materials, Electronics & Information Engineering, ICMEIE-2015
05-06 June, 2015, Faculty of Engineering, University of Rajshahi, Bangladesh www.ru.ac.bd/icmeie2015/proceedings/
ISBN 978-984-33-8940--4