Genetic algorithm optimization of heliostat field layout for the design of a central receiver solar thermal power plant
The heliostat field layout in a central receiver solar thermal power plant has significant optical losses that can ultimately affect the overall output power of the plant. In this paper, an optimized heliostat field layout based on annual efficiency and power of 50 MW for the local coordinates of Qu...
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| Language: | English |
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Elsevier
2023-11-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023086966 |
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| author | Muhammad Haris Atiq Ur Rehman Sheeraz Iqbal Syed Owais Athar Hossam Kotb Kareem M. AboRas Abdulaziz Alkuhayli Yazeed Yasin Ghadi Kitmo |
| author_facet | Muhammad Haris Atiq Ur Rehman Sheeraz Iqbal Syed Owais Athar Hossam Kotb Kareem M. AboRas Abdulaziz Alkuhayli Yazeed Yasin Ghadi Kitmo |
| author_sort | Muhammad Haris |
| collection | DOAJ |
| description | The heliostat field layout in a central receiver solar thermal power plant has significant optical losses that can ultimately affect the overall output power of the plant. In this paper, an optimized heliostat field layout based on annual efficiency and power of 50 MW for the local coordinates of Quetta, Pakistan, is proposed. The performance of two different heliostat field layouts such as radial staggered and Fermat's spiral distribution are evaluated and different design points in a year are considered for the analysis. The field layouts are then optimized using a rejection sampling based Genetic Algorithm (GA). It considers the output power and mean overall efficiency for vernal equinox, summer solstice, autumnal equinox, and winter solstice as objective functions. The GA optimizes the heliostat field parameters, namely, security distance (DS), tower height (TH), heliostat width to length ratio (WR), and the length of heliostats (LH). The study system was developed in MATLAB for validation. It was observed that for the radial staggered layout, the number of heliostats decreased by 364 and the efficiency was improved by 8.52 % using GA optimization relative to unoptimized results field layout. The annual efficiency for Fermat's spiral configuration was improved by 14.62 % and correspondingly, the number of heliostats decreased by 434. |
| first_indexed | 2024-03-09T09:19:10Z |
| format | Article |
| id | doaj.art-b95d572974cc4c15a92fb45732a723cb |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-03-09T09:19:10Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-b95d572974cc4c15a92fb45732a723cb2023-12-02T07:02:31ZengElsevierHeliyon2405-84402023-11-01911e21488Genetic algorithm optimization of heliostat field layout for the design of a central receiver solar thermal power plantMuhammad Haris0Atiq Ur Rehman1Sheeraz Iqbal2Syed Owais Athar3Hossam Kotb4Kareem M. AboRas5Abdulaziz Alkuhayli6Yazeed Yasin Ghadi7 Kitmo8Department of Electrical Engineering, Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta 87300, PakistanDepartment of Electrical Engineering, Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta 87300, PakistanDepartment of Electrical Engineering, University of Azad Jammu and Kashmir, Muzaffarabad, PakistanDepartment of Electronic Engineering, Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta 87300, PakistanDepartment of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria 21544, EgyptDepartment of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria 21544, EgyptElectrical Engineering Department, College of Engineering, King Saud University, Riyadh 11421, Saudi ArabiaDepartment of Computer Science and Software Engineering, Al Ain University, Abu Dhabi 15322, United Arab EmiratesUniversity of Maroua, National Advanced School of Engineering of Maroua, Department of Renewable Energy, P.O. Box 46 Maroua, Cameroon; Corresponding author.The heliostat field layout in a central receiver solar thermal power plant has significant optical losses that can ultimately affect the overall output power of the plant. In this paper, an optimized heliostat field layout based on annual efficiency and power of 50 MW for the local coordinates of Quetta, Pakistan, is proposed. The performance of two different heliostat field layouts such as radial staggered and Fermat's spiral distribution are evaluated and different design points in a year are considered for the analysis. The field layouts are then optimized using a rejection sampling based Genetic Algorithm (GA). It considers the output power and mean overall efficiency for vernal equinox, summer solstice, autumnal equinox, and winter solstice as objective functions. The GA optimizes the heliostat field parameters, namely, security distance (DS), tower height (TH), heliostat width to length ratio (WR), and the length of heliostats (LH). The study system was developed in MATLAB for validation. It was observed that for the radial staggered layout, the number of heliostats decreased by 364 and the efficiency was improved by 8.52 % using GA optimization relative to unoptimized results field layout. The annual efficiency for Fermat's spiral configuration was improved by 14.62 % and correspondingly, the number of heliostats decreased by 434.http://www.sciencedirect.com/science/article/pii/S2405844023086966Security distancetower heightLength ratioLength of heliostats |
| spellingShingle | Muhammad Haris Atiq Ur Rehman Sheeraz Iqbal Syed Owais Athar Hossam Kotb Kareem M. AboRas Abdulaziz Alkuhayli Yazeed Yasin Ghadi Kitmo Genetic algorithm optimization of heliostat field layout for the design of a central receiver solar thermal power plant Heliyon Security distance tower height Length ratio Length of heliostats |
| title | Genetic algorithm optimization of heliostat field layout for the design of a central receiver solar thermal power plant |
| title_full | Genetic algorithm optimization of heliostat field layout for the design of a central receiver solar thermal power plant |
| title_fullStr | Genetic algorithm optimization of heliostat field layout for the design of a central receiver solar thermal power plant |
| title_full_unstemmed | Genetic algorithm optimization of heliostat field layout for the design of a central receiver solar thermal power plant |
| title_short | Genetic algorithm optimization of heliostat field layout for the design of a central receiver solar thermal power plant |
| title_sort | genetic algorithm optimization of heliostat field layout for the design of a central receiver solar thermal power plant |
| topic | Security distance tower height Length ratio Length of heliostats |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023086966 |
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