Floating Photovoltaic Plants as an Effective Option to Reduce Water Evaporation in Water-Stressed Regions and Produce Electricity: A Case Study of Lake Nasser, Egypt
Abstract
:1. Introduction
2. Data and Methods
2.1. Reservoir Area Determination of Lake Nasser
2.2. Estimation Method of Surface Water Evaporation Rates
2.2.1. Evaporation Estimation for Open Water Surface without Floating Photovoltaic Panels
2.2.2. Evaporation Estimation for Incorporating Floating Photovoltaic Panels
2.2.3. Volume of Evaporation Water Savings
2.3. Design of the Floating Photovoltaic (FPV) System
3. Results
- Case study 1: 50% of the total submerged area was covered by FPV panels.
- Case study 2: 40% of the total submerged area was covered by FPV panels.
- Case study 3: 30% of the total submerged area was covered by FPV panels.
- Case study 4: 20% of the total submerged area was covered by FPV panels.
3.1. Evaporation Savings
3.2. Installed Capacity and Electricity Output of FPV Array
4. Conclusions
- The installation of FPV panels on Lake Nasser is a very effective solution for Egypt which suffers from water poverty, as the rate of water evaporation savings in Lake Nasser reached 61.71% (9,074 081, 000 m3/year) when covering 50% of Lake Nasser area with floating photovoltaic panels.
- The rate of water evaporation savings in Lake Nasser depends on the percentage of the area covered by the floating photovoltaic panels, which reached 61.71%, 51.24%, 39.83%, and 27.49% for covering 50%, 40%, 30%, and 20% of the area of Lake Nasser with FPV panels, respectively, as compared to the conventional case without FPV panels.
- The annual rate of electricity production from the FPV panels system for Lake Nasser reached 467.99 TWh/year, 374.41 TWh/year, 280.787 TWh/year, and 187.21 TWh/year for covering 50%, 40%, 30%, and 20% of Lake Nasser with FPV panels, respectively.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Months | (MJ/m2/Day) | (mm/Day) | ||
---|---|---|---|---|
January | 5250 | 14.309 | 19.5 | 3.933 |
February | 5250 | 16.779 | 23.5 | 4.853 |
March | 5250 | 20.347 | 28 | 6.146 |
April | 5250 | 24.934 | 38.6 | 9.026 |
May | 5250 | 27.992 | 39.5 | 9.844 |
June | 5250 | 29.207 | 41.1 | 10.447 |
July | 5250 | 28.697 | 40.9 | 10.294 |
August | 5250 | 27.521 | 41.7 | 10.215 |
September | 5250 | 23.287 | 40.2 | 9.002 |
October | 5250 | 18.465 | 36.3 | 7.303 |
November | 5250 | 14.819 | 31.2 | 5.780 |
December | 5250 | 13.917 | 22.8 | 4.356 |
Months | Case Study 1 | Case Study 2 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
(mm/Day) | (m3/Month) | (m3/Year) | (mm/Day) | (m3/Month) | (m3/Year) | |||||
January | 0.5 | 8.106 | 1.591 | 381.297 | - | 0.4 | 9.3465 | 1.999 | 314.833 | - |
February | 0.5 | 9.384 | 1.916 | 431.768 | - | 0.4 | 10.8633 | 2.422 | 357.422 | - |
March | 0.5 | 11.219 | 2.354 | 617.196 | - | 0.4 | 13.0443 | 2.997 | 512.487 | - |
April | 0.5 | 13.638 | 3.361 | 892.274 | - | 0.4 | 15.897 | 4.309 | 742.856 | - |
May | 0.5 | 15.178 | 3.590 | 1017.769 | - | 0.4 | 17.7406 | 4.628 | 848.894 | - |
June | 0.5 | 15.805 | 3.785 | 1049.224 | - | 0.4 | 18.4858 | 4.887 | 875.624 | - |
July | 0.5 | 15.548 | 3.742 | 1066.47 | - | 0.4 | 18.178 | 4.827 | 889.78 | - |
August | 0.5 | 14.970 | 3.743 | 1052.758 | - | 0.4 | 17.4803 | 4.819 | 877.695 | - |
September | 0.5 | 12.834 | 3.399 | 882.455 | - | 0.4 | 14.9249 | 4.343 | 733.733 | - |
October | 0.5 | 10.375 | 2.867 | 722.022 | - | 0.4 | 11.9933 | 3.628 | 598.058 | - |
November | 0.5 | 8.492 | 2.347 | 540.74 | - | 0.4 | 9.7572 | 2.947 | 446.279 | - |
December | 0.5 | 7.946 | 1.775 | 420.11 | - | 0.4 | 9.1399 | 2.226 | 346.591 | - |
9074.081 | 7544.251 |
Months | Case Study 3 | Case Study 4 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
(mm/Day) | (m3/Month) | (m3/Year) | (mm/Day) | (m3/Month) | (m3/Year) | |||||
January | 0.3 | 10.587 | 2.437 | 243.472 | - | 0.2 | 11.828 | 2.906 | 167.212 | - |
February | 0.3 | 12.342 | 2.969 | 277.072 | - | 0.2 | 13.821 | 3.556 | 190.718 | - |
March | 0.3 | 14.87 | 3.698 | 398.413 | - | 0.2 | 16.696 | 4.456 | 274.974 | - |
April | 0.3 | 18.156 | 5.350 | 578.919 | - | 0.2 | 20.415 | 6.483 | 400.465 | - |
May | 0.3 | 20.303 | 5.772 | 662.68 | - | 0.2 | 22.866 | 7.023 | 459.126 | - |
June | 0.3 | 21.166 | 6.105 | 683.902 | - | 0.2 | 23.846 | 7.437 | 474.057 | - |
July | 0.3 | 20.808 | 6.025 | 694.788 | - | 0.2 | 23.438 | 7.336 | 481.494 | - |
August | 0.3 | 19.991 | 6.003 | 684.887 | - | 0.2 | 22.501 | 7.297 | 474.335 | - |
September | 0.3 | 17.015 | 5.376 | 571.127 | - | 0.2 | 19.106 | 6.496 | 394.636 | - |
October | 0.3 | 13.611 | 4.453 | 463.873 | - | 0.2 | 15.229 | 5.3399 | 319.469 | - |
November | 0.3 | 11.023 | 3.5899 | 344.974 | - | 0.2 | 12.288 | 4.277 | 236.827 | - |
December | 0.3 | 10.334 | 2.710 | 267.821 | - | 0.2 | 11.529 | 3.227 | 183.799 | - |
5871.927 | 4057.111 |
Months | Case Study 1 | Case Study 2 | Case Study 3 | Case Study 4 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
FPVep (TWh/ Month) | FPVep (TWh/ Year) | FPVep (TWh/ Month) | FPVep (TWh/ Year) | FPVep (TWh/ Month) | FPVep (TWh/ Year) | FPVep (TWh/ Month) | FPVep (TWh/ Year) | ||||||
January | 5250 | 0.5 | 28.32 | - | 0.4 | 22.67 | - | 0.3 | 16.99 | - | 0.2 | 11.33 | - |
February | 5250 | 0.5 | 29.42 | - | 0.4 | 23.53 | - | 0.3 | 17.65 | - | 0.2 | 11.77 | - |
March | 5250 | 0.5 | 38.57 | - | 0.4 | 30.86 | - | 0.3 | 23.14 | - | 0.2 | 15.43 | - |
April | 5250 | 0.5 | 43.46 | - | 0.4 | 34.77 | - | 0.3 | 26.08 | - | 0.2 | 17.39 | - |
May | 5250 | 0.5 | 49.96 | - | 0.4 | 39.97 | - | 0.3 | 29.97 | - | 0.2 | 19.98 | - |
June | 5250 | 0.5 | 50 | - | 0.4 | 40 | - | 0.3 | 30 | - | 0.2 | 20 | - |
July | 5250 | 0.5 | 50.85 | - | 0.4 | 40.68 | - | 0.3 | 30.51 | - | 0.2 | 20.34 | - |
August | 5250 | 0.5 | 48.7 | - | 0.4 | 38.96 | - | 0.3 | 29.22 | - | 0.2 | 19.48 | - |
September | 5250 | 0.5 | 40.44 | - | 0.4 | 32.35 | - | 0.3 | 24.26 | - | 0.2 | 16.18 | - |
October | 5250 | 0.5 | 33.96 | - | 0.4 | 27.17 | - | 0.3 | 20.377 | - | 0.2 | 13.58 | - |
November | 5250 | 0.5 | 27.09 | - | 0.4 | 21.68 | - | 0.3 | 16.26 | - | 0.2 | 10.84 | - |
December | 5250 | 0.5 | 27.22 | - | 0.4 | 21.77 | - | 0.3 | 16.33 | - | 0.2 | 10.89 | - |
467.99 | 374.41 | 280.787 | 187.21 |
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Abdelgaied, M.; Kabeel, A.E.; Zeleňáková, M.; Abd-Elhamid, H.F. Floating Photovoltaic Plants as an Effective Option to Reduce Water Evaporation in Water-Stressed Regions and Produce Electricity: A Case Study of Lake Nasser, Egypt. Water 2023, 15, 635. https://doi.org/10.3390/w15040635
Abdelgaied M, Kabeel AE, Zeleňáková M, Abd-Elhamid HF. Floating Photovoltaic Plants as an Effective Option to Reduce Water Evaporation in Water-Stressed Regions and Produce Electricity: A Case Study of Lake Nasser, Egypt. Water. 2023; 15(4):635. https://doi.org/10.3390/w15040635
Chicago/Turabian StyleAbdelgaied, Mohamed, Abd Elnaby Kabeel, Martina Zeleňáková, and Hany F. Abd-Elhamid. 2023. "Floating Photovoltaic Plants as an Effective Option to Reduce Water Evaporation in Water-Stressed Regions and Produce Electricity: A Case Study of Lake Nasser, Egypt" Water 15, no. 4: 635. https://doi.org/10.3390/w15040635
APA StyleAbdelgaied, M., Kabeel, A. E., Zeleňáková, M., & Abd-Elhamid, H. F. (2023). Floating Photovoltaic Plants as an Effective Option to Reduce Water Evaporation in Water-Stressed Regions and Produce Electricity: A Case Study of Lake Nasser, Egypt. Water, 15(4), 635. https://doi.org/10.3390/w15040635