A three diode model for industrial solar cells and estimation of solar cell parameters using PSO algorithm
A new lumped-parameter equivalent circuit model using three-diodes is presented in this work for large area (∼154.8 cm2) industrial silicon solar cells. The estimation of values of ideality factors n1 (>1) and n2 (>2) using a Particle Swarm Optimization (PSO) algorithm for the two-diode model...
Saved in:
| Published in | Renewable energy Vol. 78; pp. 105 - 113 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.06.2015
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 0960-1481 1879-0682 |
| DOI | 10.1016/j.renene.2014.12.072 |
Cover
| Abstract | A new lumped-parameter equivalent circuit model using three-diodes is presented in this work for large area (∼154.8 cm2) industrial silicon solar cells. The estimation of values of ideality factors n1 (>1) and n2 (>2) using a Particle Swarm Optimization (PSO) algorithm for the two-diode model of the industrial samples has been found not to be in conformity with the theoretical values (n1 = 1 and n2 = 2 in the literature). The two diodes of the two-diode model are not able to define the different current components of the solar cells clearly. A model with three-diodes has been proposed to better explain the experimental data. In the proposed model, we considered the series resistance, Rs, of the solar cell to vary with the current flowing through the solar cell device. All the parameters of the proposed model have been estimated using a PSO algorithm and they were compared with the parameters of the two-diode model. The new model has been found to be a better model to define clearly the different current components of the large size industrial silicon solar cells.
•A three diode model using three diodes better explains the I–V characteristics of large size industrial silicon solar cells.•PSO algorithms can estimate the various parameters of the three diode model of such industrial silicon solar cells.•Increase of series resistance with current through such industrial silicon solar cells is within 10%. |
|---|---|
| AbstractList | A new lumped-parameter equivalent circuit model using three-diodes is presented in this work for large area (∼154.8 cm²) industrial silicon solar cells. The estimation of values of ideality factors n1 (>1) and n2 (>2) using a Particle Swarm Optimization (PSO) algorithm for the two-diode model of the industrial samples has been found not to be in conformity with the theoretical values (n1 = 1 and n2 = 2 in the literature). The two diodes of the two-diode model are not able to define the different current components of the solar cells clearly. A model with three-diodes has been proposed to better explain the experimental data. In the proposed model, we considered the series resistance, Rs, of the solar cell to vary with the current flowing through the solar cell device. All the parameters of the proposed model have been estimated using a PSO algorithm and they were compared with the parameters of the two-diode model. The new model has been found to be a better model to define clearly the different current components of the large size industrial silicon solar cells. A new lumped-parameter equivalent circuit model using three-diodes is presented in this work for large area (∼154.8 cm2) industrial silicon solar cells. The estimation of values of ideality factors n1 (>1) and n2 (>2) using a Particle Swarm Optimization (PSO) algorithm for the two-diode model of the industrial samples has been found not to be in conformity with the theoretical values (n1 = 1 and n2 = 2 in the literature). The two diodes of the two-diode model are not able to define the different current components of the solar cells clearly. A model with three-diodes has been proposed to better explain the experimental data. In the proposed model, we considered the series resistance, Rs, of the solar cell to vary with the current flowing through the solar cell device. All the parameters of the proposed model have been estimated using a PSO algorithm and they were compared with the parameters of the two-diode model. The new model has been found to be a better model to define clearly the different current components of the large size industrial silicon solar cells. •A three diode model using three diodes better explains the I–V characteristics of large size industrial silicon solar cells.•PSO algorithms can estimate the various parameters of the three diode model of such industrial silicon solar cells.•Increase of series resistance with current through such industrial silicon solar cells is within 10%. |
| Author | Vandana Khanna, Vandana Das, B.K. Bisht, Dinesh Singh, P.K. |
| Author_xml | – sequence: 1 givenname: Vandana surname: Khanna fullname: Khanna, Vandana organization: ITM University, Gurgaon 122017, India – sequence: 2 givenname: B.K. surname: Das fullname: Das, B.K. email: bkdas45@yahoo.co.uk organization: ITM University, Gurgaon 122017, India – sequence: 3 givenname: Dinesh surname: Bisht fullname: Bisht, Dinesh organization: JIIT University, Noida 201307, India – sequence: 4 surname: Vandana fullname: Vandana organization: CSIR-National Physical Laboratory (Network of Institutes for Solar Energy), New Delhi 110012 India – sequence: 5 givenname: P.K. surname: Singh fullname: Singh, P.K. organization: CSIR-National Physical Laboratory (Network of Institutes for Solar Energy), New Delhi 110012 India |
| BookMark | eNqFkE1rGzEQhkVIoI6Tf5CDjrnsViPth5RDIYSmLQRciO9Cu5pNZHYlR5IL_feV4x5KDy0CCUbzvMw8l-TcB4-E3ACrgUH3cVdH9OXUnEFTA69Zz8_ICmSvKtZJfk5WTHWsgkbCB3KZ0o4xaGXfrMjunubXiEitCxbpUq6ZTiFS5-0h5ejMTFOYTaQjznOixluKKbvFZBc8DdMfv3RvolkwY0z0kJx_od-fN9TMLyG6_LpckYvJzAmvf79rsn38vH34Wj1tvnx7uH-qRiFUriRXahxarpi0gABKte2AvbQChcRuavkgQJTaxHo79KaRYhgKI1Q_TBMTa3J7it3H8HYos-rFpeN4xmM4JM0BOqmalsvS2pxaxxhSijjpfSybxZ8amD6a1Tt9MquPZjVwXcwW7O4vbHT53UeOxs3_gz-dYCwKfjiMOo0O_YjWRRyztsH9O-AXCRaZ6g |
| CitedBy_id | crossref_primary_10_1049_iet_rpg_2018_5317 crossref_primary_10_1016_j_heliyon_2024_e35771 crossref_primary_10_3390_math11081861 crossref_primary_10_3390_polym13193224 crossref_primary_10_1016_j_energy_2017_01_073 crossref_primary_10_1016_j_renene_2018_09_017 crossref_primary_10_5937_tehnika1901091J crossref_primary_10_3390_app10072575 crossref_primary_10_1016_j_egyr_2024_10_052 crossref_primary_10_1016_j_solener_2021_08_048 crossref_primary_10_1016_j_asoc_2018_07_015 crossref_primary_10_1016_j_enconman_2016_12_082 crossref_primary_10_1016_j_enconman_2021_114972 crossref_primary_10_1371_journal_pone_0313713 crossref_primary_10_1016_j_egyr_2022_11_092 crossref_primary_10_3390_en13061296 crossref_primary_10_1016_j_enconman_2021_114051 crossref_primary_10_1016_j_jer_2024_12_009 crossref_primary_10_1016_j_enconman_2015_08_023 crossref_primary_10_1080_15567036_2022_2078905 crossref_primary_10_1016_j_nucengdes_2022_111863 crossref_primary_10_1016_j_rser_2016_03_049 crossref_primary_10_1016_j_solener_2022_06_043 crossref_primary_10_1155_2023_5589859 crossref_primary_10_3390_math9090995 crossref_primary_10_7498_aps_67_20181024 crossref_primary_10_1016_j_ijleo_2022_168939 crossref_primary_10_1140_epjp_s13360_021_01462_4 crossref_primary_10_1016_j_enconman_2022_116523 crossref_primary_10_1016_j_renene_2020_08_086 crossref_primary_10_1007_s12046_023_02115_1 crossref_primary_10_1016_j_enconman_2021_115134 crossref_primary_10_1109_ACCESS_2021_3065386 crossref_primary_10_1007_s10825_024_02190_5 crossref_primary_10_1016_j_solener_2020_11_046 crossref_primary_10_1016_j_heliyon_2024_e39902 crossref_primary_10_1016_j_enconman_2020_113491 crossref_primary_10_1016_j_micrna_2022_207362 crossref_primary_10_1088_1742_6596_2564_1_012018 crossref_primary_10_1007_s00521_022_07047_1 crossref_primary_10_3390_electronics10192437 crossref_primary_10_1109_ACCESS_2020_3005236 crossref_primary_10_1007_s13369_021_06209_y crossref_primary_10_1016_j_enconman_2022_116613 crossref_primary_10_1016_j_apenergy_2019_05_013 crossref_primary_10_1016_j_enconman_2020_113386 crossref_primary_10_1140_epjp_i2016_16418_6 crossref_primary_10_1016_j_enconman_2022_115403 crossref_primary_10_1049_iet_rpg_2019_0726 crossref_primary_10_1109_ACCESS_2020_3000770 crossref_primary_10_3389_fenrg_2023_1326313 crossref_primary_10_1016_j_egyr_2021_08_188 crossref_primary_10_1088_1755_1315_159_1_012024 crossref_primary_10_1007_s10825_021_01785_6 crossref_primary_10_1016_j_rser_2021_110828 crossref_primary_10_3390_eng4030103 crossref_primary_10_3390_en16135228 crossref_primary_10_3390_su142417005 crossref_primary_10_1016_j_knosys_2024_112949 crossref_primary_10_1049_rpg2_12712 crossref_primary_10_3390_app14188549 crossref_primary_10_1002_ese3_1160 crossref_primary_10_3390_su15075732 crossref_primary_10_1007_s00500_024_09888_5 crossref_primary_10_1016_j_egyr_2022_10_401 crossref_primary_10_1016_j_egyr_2021_07_025 crossref_primary_10_1016_j_enconman_2019_112028 crossref_primary_10_1016_j_solener_2020_02_046 crossref_primary_10_3390_su13169459 crossref_primary_10_1016_j_enconman_2020_113820 crossref_primary_10_1016_j_enconman_2021_113971 crossref_primary_10_1016_j_enconman_2021_114269 crossref_primary_10_1007_s00521_022_07142_3 crossref_primary_10_1080_02286203_2019_1650488 crossref_primary_10_1016_j_rser_2018_03_011 crossref_primary_10_1109_JPHOTOV_2016_2574128 crossref_primary_10_1016_j_solener_2018_10_050 crossref_primary_10_1109_JPHOTOV_2017_2767602 crossref_primary_10_1007_s00521_024_09609_x crossref_primary_10_1007_s12652_021_03564_4 crossref_primary_10_3390_su13020840 crossref_primary_10_1016_j_solener_2020_09_047 crossref_primary_10_1371_journal_pone_0296800 crossref_primary_10_1016_j_renene_2024_121491 crossref_primary_10_1016_j_seta_2020_100738 crossref_primary_10_1115_1_4047853 crossref_primary_10_3390_cryst9020080 crossref_primary_10_1007_s10825_024_02159_4 crossref_primary_10_1016_j_apenergy_2015_05_035 crossref_primary_10_1016_j_solmat_2015_09_003 crossref_primary_10_1016_j_enconman_2017_04_042 crossref_primary_10_1016_j_solener_2016_10_043 crossref_primary_10_1016_j_enconman_2020_112872 crossref_primary_10_1016_j_enconman_2020_113048 crossref_primary_10_3103_S0003701X22600552 crossref_primary_10_1016_j_csite_2024_104917 crossref_primary_10_1115_1_4050349 crossref_primary_10_1016_j_heliyon_2024_e33952 crossref_primary_10_1177_0142331218823864 crossref_primary_10_1016_j_solener_2016_07_018 crossref_primary_10_1109_JEDS_2023_3340445 crossref_primary_10_1016_j_apenergy_2018_09_161 crossref_primary_10_1016_j_solener_2020_09_032 crossref_primary_10_1007_s42235_024_00593_5 crossref_primary_10_1016_j_jclepro_2020_120082 crossref_primary_10_1109_TED_2021_3099088 crossref_primary_10_1038_s41598_021_98593_6 crossref_primary_10_1080_02286203_2018_1525938 crossref_primary_10_3390_en12224271 crossref_primary_10_1016_j_renene_2018_07_152 crossref_primary_10_3390_en9080640 crossref_primary_10_1007_s00521_016_2757_y crossref_primary_10_3390_en14185735 crossref_primary_10_1080_15567036_2022_2125126 crossref_primary_10_1016_j_prime_2024_100861 crossref_primary_10_1016_j_renene_2021_10_063 crossref_primary_10_1016_j_egypro_2016_07_015 crossref_primary_10_1016_j_egyr_2022_09_069 crossref_primary_10_1109_ACCESS_2020_3046536 crossref_primary_10_1007_s10973_020_09895_2 crossref_primary_10_1016_j_rser_2015_07_079 crossref_primary_10_1109_ACCESS_2020_3043941 crossref_primary_10_2139_ssrn_4069244 crossref_primary_10_1016_j_matpr_2021_10_083 crossref_primary_10_1007_s00521_023_08535_8 crossref_primary_10_1016_j_ijleo_2021_167977 crossref_primary_10_1016_j_solener_2021_06_015 crossref_primary_10_3390_app13095751 crossref_primary_10_1016_j_enconman_2018_08_081 crossref_primary_10_1007_s10825_021_01722_7 crossref_primary_10_1016_j_csite_2024_104938 crossref_primary_10_1109_JPHOTOV_2016_2571622 crossref_primary_10_1016_j_wsj_2016_10_004 crossref_primary_10_3389_fenrg_2021_675925 crossref_primary_10_3390_math10234625 crossref_primary_10_1088_1742_6596_1671_1_012008 crossref_primary_10_1109_ACCESS_2021_3073821 crossref_primary_10_1556_606_2020_00260 crossref_primary_10_2139_ssrn_3913080 crossref_primary_10_1007_s00521_020_04714_z crossref_primary_10_1088_1742_6596_1716_1_012001 crossref_primary_10_1016_j_rser_2022_112436 crossref_primary_10_1002_er_7485 crossref_primary_10_1016_j_rser_2017_10_107 crossref_primary_10_1016_j_asoc_2023_110386 crossref_primary_10_1016_j_renene_2020_12_023 crossref_primary_10_1016_j_enconman_2019_04_057 crossref_primary_10_1016_j_rser_2015_12_137 crossref_primary_10_3390_electronics10172094 crossref_primary_10_1049_rpg2_13057 crossref_primary_10_1016_j_renene_2016_11_051 crossref_primary_10_1016_j_jer_2023_08_019 crossref_primary_10_1007_s13369_021_06045_0 crossref_primary_10_1155_2023_3397430 crossref_primary_10_1016_j_enconman_2015_11_041 crossref_primary_10_1016_j_solener_2019_08_022 crossref_primary_10_1049_rpg2_12523 crossref_primary_10_3390_math11224565 crossref_primary_10_1109_ACCESS_2024_3504559 crossref_primary_10_3390_en16176280 crossref_primary_10_1016_j_jpowsour_2019_05_089 crossref_primary_10_1016_j_matpr_2021_11_106 crossref_primary_10_3389_fphy_2021_690588 crossref_primary_10_3390_molecules25081928 crossref_primary_10_1108_WJE_02_2023_0039 crossref_primary_10_7717_peerj_cs_2646 crossref_primary_10_1080_15567036_2021_1890860 crossref_primary_10_1038_s41598_023_36284_0 crossref_primary_10_5028_jatm_v12_1165 crossref_primary_10_1016_j_ecmx_2022_100219 crossref_primary_10_1016_j_rser_2017_04_083 crossref_primary_10_1016_j_egyr_2021_06_085 crossref_primary_10_1038_s41598_024_81125_3 crossref_primary_10_1063_5_0060563 crossref_primary_10_1016_j_enconman_2020_113522 crossref_primary_10_3389_fenrg_2022_883856 crossref_primary_10_1016_j_ijleo_2020_165700 crossref_primary_10_1108_COMPEL_05_2021_0166 crossref_primary_10_1016_j_egyr_2021_01_024 crossref_primary_10_1007_s10825_024_02205_1 crossref_primary_10_1016_j_asej_2021_06_029 crossref_primary_10_1016_j_ijleo_2021_167150 crossref_primary_10_1080_01430750_2023_2173290 crossref_primary_10_1109_ACCESS_2022_3213746 crossref_primary_10_1007_s00521_024_09534_z crossref_primary_10_3389_fenrg_2021_693252 crossref_primary_10_3390_su16010432 crossref_primary_10_1007_s11082_022_03768_8 crossref_primary_10_1016_j_asej_2022_101824 crossref_primary_10_1016_j_energy_2021_121561 crossref_primary_10_3390_app112411929 crossref_primary_10_1007_s12633_021_01572_9 crossref_primary_10_1016_j_energy_2019_116001 crossref_primary_10_3390_designs8060119 crossref_primary_10_1016_j_energy_2023_129043 crossref_primary_10_3390_electronics13091611 crossref_primary_10_1016_j_rser_2021_111070 crossref_primary_10_1016_j_enconman_2018_05_035 crossref_primary_10_3390_app13189997 crossref_primary_10_1088_1742_6596_890_1_012037 crossref_primary_10_1109_JESTPE_2020_3016635 crossref_primary_10_1016_j_ijleo_2020_165277 crossref_primary_10_1016_j_solener_2019_09_096 crossref_primary_10_1080_01430750_2024_2304331 crossref_primary_10_29121_granthaalayah_v11_i3_2023_5086 crossref_primary_10_29130_dubited_789691 crossref_primary_10_1016_j_ijleo_2022_168873 crossref_primary_10_1016_j_solener_2023_02_036 crossref_primary_10_1016_j_ecmx_2024_100671 crossref_primary_10_1016_j_apm_2016_08_001 crossref_primary_10_1049_stg2_12198 crossref_primary_10_1016_j_solener_2018_07_092 crossref_primary_10_1016_j_energy_2023_126680 crossref_primary_10_1109_ACCESS_2022_3142779 crossref_primary_10_1007_s00542_020_05066_3 crossref_primary_10_1080_1448837X_2024_2373525 crossref_primary_10_22395_rium_v20n38a1 crossref_primary_10_1109_ACCESS_2020_3019244 crossref_primary_10_1016_j_energy_2021_120136 crossref_primary_10_1002_cta_3133 crossref_primary_10_1016_j_solener_2022_07_029 crossref_primary_10_1016_j_enconman_2018_10_069 crossref_primary_10_25092_baunfbed_411779 crossref_primary_10_1016_j_prime_2025_100964 crossref_primary_10_1016_j_enconman_2020_112904 crossref_primary_10_1109_ACCESS_2021_3069939 crossref_primary_10_1016_j_apenergy_2022_118877 crossref_primary_10_3390_en14133729 crossref_primary_10_1016_j_renene_2016_04_072 crossref_primary_10_3233_JCM_170742 crossref_primary_10_1016_j_rser_2018_09_020 crossref_primary_10_3389_fenrg_2021_696204 crossref_primary_10_1016_j_enconman_2020_112595 crossref_primary_10_3934_mbe_2021364 crossref_primary_10_1016_j_egyr_2021_11_179 crossref_primary_10_1002_ese3_1329 crossref_primary_10_1016_j_eswa_2023_122325 crossref_primary_10_1016_j_enconman_2016_06_052 crossref_primary_10_1016_j_energy_2020_117040 crossref_primary_10_1016_j_eswa_2018_01_019 crossref_primary_10_1016_j_ijhydene_2024_06_424 crossref_primary_10_1016_j_energy_2021_122692 crossref_primary_10_1080_23080477_2019_1700067 crossref_primary_10_1016_j_enconman_2020_113211 crossref_primary_10_1016_j_seta_2021_101711 crossref_primary_10_1109_ACCESS_2024_3424416 crossref_primary_10_20535_2523_4455_mea_237316 crossref_primary_10_1007_s10825_022_01987_6 crossref_primary_10_1016_j_rser_2016_09_129 crossref_primary_10_3390_su15107896 crossref_primary_10_1016_j_egyr_2024_04_035 crossref_primary_10_3390_math11244912 crossref_primary_10_1002_2050_7038_12024 crossref_primary_10_1002_2050_7038_13113 crossref_primary_10_1007_s11431_016_0035_2 crossref_primary_10_1007_s00521_023_08230_8 crossref_primary_10_1155_2021_3608138 crossref_primary_10_1016_j_solener_2015_07_008 crossref_primary_10_1007_s10825_021_01812_6 crossref_primary_10_1016_j_neucom_2018_09_094 crossref_primary_10_1109_ACCESS_2022_3161467 crossref_primary_10_1016_j_egyr_2021_06_097 crossref_primary_10_3233_JIFS_213387 crossref_primary_10_1016_j_asej_2024_103170 crossref_primary_10_33889_IJMEMS_2021_6_3_054 crossref_primary_10_1016_j_renene_2019_08_070 crossref_primary_10_1002_oca_2984 crossref_primary_10_1016_j_solmat_2021_111494 crossref_primary_10_1002_ente_202200098 crossref_primary_10_3390_en15238941 crossref_primary_10_1515_ijeeps_2023_0338 crossref_primary_10_1002_ese3_1109 crossref_primary_10_1049_rpg2_12475 crossref_primary_10_1109_TED_2022_3161250 crossref_primary_10_1016_j_ijleo_2020_164559 crossref_primary_10_1007_s12652_022_03896_9 crossref_primary_10_1016_j_seta_2023_103240 crossref_primary_10_1016_j_egyr_2024_10_002 crossref_primary_10_1109_TSTE_2016_2620941 crossref_primary_10_3390_su13126963 crossref_primary_10_1016_j_enconman_2021_114738 crossref_primary_10_3390_electronics10243123 crossref_primary_10_1016_j_enconman_2018_05_062 crossref_primary_10_1016_j_energy_2020_116979 crossref_primary_10_1016_j_enconman_2020_113474 crossref_primary_10_1016_j_ijleo_2022_169379 crossref_primary_10_1016_j_jpowsour_2018_03_014 crossref_primary_10_1016_j_ecmx_2021_100129 crossref_primary_10_5937_tehnika1902251M crossref_primary_10_1109_JPHOTOV_2022_3169525 |
| Cites_doi | 10.1016/j.solmat.2005.04.023 10.1016/0038-1101(80)90185-9 10.1088/0957-0233/12/11/322 10.1016/j.solmat.2004.07.033 10.1016/j.solener.2010.04.012 10.1016/j.apenergy.2013.06.004 10.1016/j.solmat.2007.04.009 10.1016/j.vacuum.2004.05.001 10.1016/j.simpat.2011.04.005 10.1016/j.solener.2010.12.022 10.1016/j.apenergy.2012.05.017 10.1016/j.solener.2011.06.008 10.1016/j.apenergy.2009.07.022 10.1016/j.solmat.2004.07.019 10.1007/978-3-642-03156-4_34 10.1016/j.solmat.2007.05.019 10.1109/TEC.2007.914308 10.1016/j.renene.2012.01.082 10.1063/1.3607310 10.1016/j.egypro.2012.06.001 10.1016/j.solener.2011.04.013 10.1016/j.solmat.2010.09.023 10.1016/j.renene.2010.02.020 |
| ContentType | Journal Article |
| Copyright | 2015 Elsevier Ltd |
| Copyright_xml | – notice: 2015 Elsevier Ltd |
| DBID | AAYXX CITATION 7S9 L.6 |
| DOI | 10.1016/j.renene.2014.12.072 |
| DatabaseName | CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitle | CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | AGRICOLA |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1879-0682 |
| EndPage | 113 |
| ExternalDocumentID | 10_1016_j_renene_2014_12_072 S0960148115000063 |
| GroupedDBID | --K --M .~1 0R~ 123 1B1 1RT 1~. 1~5 29P 4.4 457 4G. 5VS 7-5 71M 8P~ 9JN AABNK AACTN AAEDT AAEDW AAHCO AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AARJD AAXUO ABFNM ABMAC ABXDB ABYKQ ACDAQ ACGFS ACNNM ACRLP ADBBV ADEZE ADMUD ADTZH AEBSH AECPX AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHIDL AHJVU AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ ASPBG AVWKF AXJTR AZFZN BELTK BJAXD BKOJK BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA HMC HVGLF HZ~ IHE J1W JARJE JJJVA K-O KOM LY6 LY9 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ SAC SDF SDG SDP SEN SES SET SEW SPC SPCBC SSR SST SSZ T5K TN5 WUQ ZCA ~02 ~G- AAHBH AATTM AAXKI AAYWO AAYXX ABJNI ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEGFY AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD 7S9 L.6 |
| ID | FETCH-LOGICAL-c339t-8299cb52908d1e119955be78d3e38e6f52b31355bf07db7a483bb299397bff03 |
| IEDL.DBID | .~1 |
| ISSN | 0960-1481 |
| IngestDate | Thu Oct 02 10:38:09 EDT 2025 Wed Oct 01 04:00:33 EDT 2025 Thu Apr 24 22:56:36 EDT 2025 Fri Feb 23 02:20:33 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Solar cell Parameter estimation Three-diode model PSO algorithm Two-diode model |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c339t-8299cb52908d1e119955be78d3e38e6f52b31355bf07db7a483bb299397bff03 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| PQID | 2116894528 |
| PQPubID | 24069 |
| PageCount | 9 |
| ParticipantIDs | proquest_miscellaneous_2116894528 crossref_primary_10_1016_j_renene_2014_12_072 crossref_citationtrail_10_1016_j_renene_2014_12_072 elsevier_sciencedirect_doi_10_1016_j_renene_2014_12_072 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | June 2015 2015-06-00 20150601 |
| PublicationDateYYYYMMDD | 2015-06-01 |
| PublicationDate_xml | – month: 06 year: 2015 text: June 2015 |
| PublicationDecade | 2010 |
| PublicationTitle | Renewable energy |
| PublicationYear | 2015 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Tsai (bib1) 2010; 84 Jervase, Bourdoucen, Al-Lawati (bib15) 2001; 12 Tivanov, Patryn, Drozdov, Fedotov, Mazanik (bib13) 2005; 87 Nema, Nema, Agnihotri (bib5) 2009; 1 Chegaar, Ouennoughi, Guechi (bib11) 2004; 75 Sandrolini, Artioli, Reggiani (bib22) 2010; 87 Bouzidi, Chegaar, Bouhemadou (bib9) 2007; 91 Aberle, Wenham, Green (bib29) 1993 Sheriff, Babagana, Maina (bib4) 2011; 3 Ortiz-Conde, Garcia Sanchez, Muci (bib14) 2006; 90 Ishaque, Salam, Mekhilef, Shamsudin (bib26) 2012; 99 Phuangpornpitak, Prommee, Tia, Phuangpornpitak (bib19) June 2010 Shahzad, Rauf Baig, Masood, Kamran, Naveed (bib23) 2009; 116 Saloux, Teyssedou, Sorin (bib2) 2011; 85 Steingrube, Breitenstein, Ramspeck, Glunz, Schenk, Altermatt (bib27) 2011; 110 Smirnov, Mahan (bib30) 1980; 23 Ishaque, Salam, Taheri, Syafaruddin (bib6) 2011; 19 Jiang, Maskell, Patra (bib25) 2013; 112 Engelbrecht (bib24) 2007 AlRashidi, AlHajri, El-Naggar, Al-Othman (bib16) 2011; 85 Bouzidia, Chegaara, Aillerieb (bib10) 2012; 18 Kongnama, Nuchprayoon (bib20) 2010; 35 Qin, Kimball (bib21) 25-26 Feb 2011 AlRashidi, El-Naggar, AlHajri (bib18) 2012 Nishioka, Sakitani, Uraoka, Fuyuki (bib28) 2007; 91 Ishaque, Salam, Syafaruddin (bib8) 2011; 85 Haouari-Merbah, Belhamel, Tobías, Ruiz (bib12) 2005; 87 Chern Fong, McIntosh, Blakers, Franklin (bib31) 19-24 June 2011 Patel, Agarwal (bib7) 2008; 23 AlHajri, El-Naggar, AlRashidi, Al-Othman (bib17) 2012; 44 Ishaque, Salam, Taheri (bib3) 2011; 95 Smirnov (10.1016/j.renene.2014.12.072_bib30) 1980; 23 Haouari-Merbah (10.1016/j.renene.2014.12.072_bib12) 2005; 87 Phuangpornpitak (10.1016/j.renene.2014.12.072_bib19) 2010 Steingrube (10.1016/j.renene.2014.12.072_bib27) 2011; 110 Ishaque (10.1016/j.renene.2014.12.072_bib3) 2011; 95 Aberle (10.1016/j.renene.2014.12.072_bib29) 1993 Kongnama (10.1016/j.renene.2014.12.072_bib20) 2010; 35 Nishioka (10.1016/j.renene.2014.12.072_bib28) 2007; 91 Tivanov (10.1016/j.renene.2014.12.072_bib13) 2005; 87 Patel (10.1016/j.renene.2014.12.072_bib7) 2008; 23 Ishaque (10.1016/j.renene.2014.12.072_bib8) 2011; 85 Chegaar (10.1016/j.renene.2014.12.072_bib11) 2004; 75 Shahzad (10.1016/j.renene.2014.12.072_bib23) 2009; 116 Chern Fong (10.1016/j.renene.2014.12.072_bib31) 2011 AlRashidi (10.1016/j.renene.2014.12.072_bib16) 2011; 85 Sheriff (10.1016/j.renene.2014.12.072_bib4) 2011; 3 Engelbrecht (10.1016/j.renene.2014.12.072_bib24) 2007 Ishaque (10.1016/j.renene.2014.12.072_bib6) 2011; 19 Bouzidi (10.1016/j.renene.2014.12.072_bib9) 2007; 91 Sandrolini (10.1016/j.renene.2014.12.072_bib22) 2010; 87 Bouzidia (10.1016/j.renene.2014.12.072_bib10) 2012; 18 Jervase (10.1016/j.renene.2014.12.072_bib15) 2001; 12 Qin (10.1016/j.renene.2014.12.072_bib21) 2011 Ortiz-Conde (10.1016/j.renene.2014.12.072_bib14) 2006; 90 AlRashidi (10.1016/j.renene.2014.12.072_bib18) 2012 Tsai (10.1016/j.renene.2014.12.072_bib1) 2010; 84 Saloux (10.1016/j.renene.2014.12.072_bib2) 2011; 85 Jiang (10.1016/j.renene.2014.12.072_bib25) 2013; 112 AlHajri (10.1016/j.renene.2014.12.072_bib17) 2012; 44 Ishaque (10.1016/j.renene.2014.12.072_bib26) 2012; 99 Nema (10.1016/j.renene.2014.12.072_bib5) 2009; 1 |
| References_xml | – volume: 116 start-page: 339 year: 2009 end-page: 348 ident: bib23 article-title: Opposition-based particle swarm optimization with velocity clamping (OVCPSO) publication-title: Adv Intelligent Soft Comput – year: June 2010 ident: bib19 article-title: A study of particle swarm technique for renewable energy power systems publication-title: Proceedings of the international conference on energy and sustainable development: issues and strategies (ESD), 2–4 – volume: 87 start-page: 225 year: 2005 end-page: 233 ident: bib12 article-title: Extraction and analysis of solar cell parameters from the illuminated current–voltage curve publication-title: Sol Energy Mater Sol Cells – volume: 23 start-page: 302 year: 2008 end-page: 310 ident: bib7 article-title: Matlab-based modeling to study the effects of partial shading on PV array characteristics publication-title: IEEE Trans Energy Convers – volume: 87 start-page: 442 year: 2010 end-page: 451 ident: bib22 article-title: Numerical method for the extraction of photovoltaic module double-diode model parameters through cluster analysis publication-title: Appl Energy – volume: 44 start-page: 238 year: 2012 end-page: 245 ident: bib17 article-title: Optimal extraction of solar cell parameters using pattern search publication-title: Renew Energy – start-page: 133 year: 1993 end-page: 139 ident: bib29 article-title: A new method for accurate measurements of the lumped series resistance of solar cells publication-title: Photovoltaic Specialists conference – volume: 18 start-page: 1601 year: 2012 end-page: 1610 ident: bib10 article-title: Solar cells parameters evaluation from dark I-V characteristics publication-title: Energy Procedia – volume: 35 start-page: 2431 year: 2010 end-page: 2438 ident: bib20 article-title: A particle swarm optimization for wind energy control problem publication-title: Renew Energy – volume: 110 year: 2011 ident: bib27 article-title: Explanation of commonly observed shunt currents in c-Si solar cells by means of recombination statistics beyond the Shockley-Read-Hall approximation publication-title: J Appl Phys – volume: 91 start-page: 1222 year: 2007 end-page: 1227 ident: bib28 article-title: Analysis of multicrystalline silicon solar cells by modified 3-diode equivalent circuit model taking leakage current through periphery into consideration publication-title: Sol Energy Mater Sol Cells – volume: 85 start-page: 713 year: 2011 end-page: 722 ident: bib2 article-title: Explicit model of photovoltaic panels to determine voltages and currents at the maximum power point publication-title: Sol Energy – volume: 85 start-page: 1543 year: 2011 end-page: 1550 ident: bib16 article-title: A new estimation approach for determining the I–V characteristics of solar cells publication-title: Sol Energy – volume: 12 start-page: 1922 year: 2001 end-page: 1925 ident: bib15 article-title: Solar cell parameter extraction using genetic algorithms publication-title: Meas Sci Technol – volume: 19 start-page: 1613 year: 2011 end-page: 1626 ident: bib6 article-title: Modeling and simulation of photovoltaic (PV) system during partial shading based on a two-diode model publication-title: Simul Model Pract Theory – start-page: 002257 year: 19-24 June 2011 end-page: 002261 ident: bib31 article-title: Series resistance as a function of current and its application in solar cell analysis publication-title: 37th IEEE photovoltaic specialists conference, photovoltaic Specialists conference (PVSC) – volume: 3 start-page: 124 year: 2011 end-page: 130 ident: bib4 article-title: A study of silicon solar cells and modules using PSPICE publication-title: World J Appl Sci Technol – volume: 23 start-page: 1055 year: 1980 end-page: 1058 ident: bib30 article-title: Distributed series resistance in photovoltaic devices; intensity and loading effects publication-title: Solid-State Electron – volume: 75 start-page: 367 year: 2004 end-page: 372 ident: bib11 article-title: Extracting dc parameters of solar cells under illumination publication-title: Vacuum – volume: 95 start-page: 586 year: 2011 end-page: 594 ident: bib3 article-title: Simple, fast and accurate two-diode model for photovoltaic modules publication-title: Sol Energy Mater Sol Cells – start-page: 1 year: 25-26 Feb 2011 end-page: 4 ident: bib21 article-title: Parameter determination of photovoltaic cells from field testing data using particle swarm optimization publication-title: Power and Energy conference at Illinois (PECI), 2011 IEEE – volume: 112 start-page: 185 year: 2013 end-page: 193 ident: bib25 article-title: Parameter estimation of solar cells and modules using an improved adaptive differential evolution algorithm publication-title: Appl Energy – volume: 84 start-page: 1318 year: 2010 end-page: 1326 ident: bib1 article-title: Insolation-oriented model of photovoltaic module using Matlab/simulink publication-title: Sol Energy – volume: 87 start-page: 457 year: 2005 end-page: 465 ident: bib13 article-title: Determination of solar cell parameters from its current–voltage and spectral characteristics publication-title: Sol Energy Mater Sol Cells – volume: 99 start-page: 297 year: 2012 end-page: 308 ident: bib26 article-title: Parameter extraction of solar photovoltaic modules using penalty-based differential evolution publication-title: Appl Energy – volume: 1 start-page: 151 year: 2009 end-page: 156 ident: bib5 article-title: Computer simulation based study of photovoltaic cells/modules and their experimental verification publication-title: Int J Recent Trends Eng – start-page: 80 year: 2012 end-page: 83 ident: bib18 article-title: Heuristic approach for estimating the solar cell parameters publication-title: Proceedings of the 5th WSEAS congress on applied computing conference, and proceedings of the 1st international conference on biologically inspired computation (BICA'12) – year: 2007 ident: bib24 article-title: Computational intelligence: an Introduction – volume: 91 start-page: 1647 year: 2007 end-page: 1651 ident: bib9 article-title: Solar cells parameters evaluation considering the series and shunt resistance publication-title: Sol Energy Mater Sol Cells – volume: 90 start-page: 352 year: 2006 end-page: 361 ident: bib14 article-title: New method to extract the model parameters of solar cells from the explicit analytic solutions of their illuminated I–V characteristics publication-title: Sol Energy Mater Sol Cells – volume: 85 start-page: 2217 year: 2011 end-page: 2227 ident: bib8 article-title: A comprehensive MATLAB Simulink PV system simulator with partial shading capability based on two-diode model publication-title: Sol Energy – volume: 90 start-page: 352 issue: 3 year: 2006 ident: 10.1016/j.renene.2014.12.072_bib14 article-title: New method to extract the model parameters of solar cells from the explicit analytic solutions of their illuminated I–V characteristics publication-title: Sol Energy Mater Sol Cells doi: 10.1016/j.solmat.2005.04.023 – volume: 23 start-page: 1055 issue: 10 year: 1980 ident: 10.1016/j.renene.2014.12.072_bib30 article-title: Distributed series resistance in photovoltaic devices; intensity and loading effects publication-title: Solid-State Electron doi: 10.1016/0038-1101(80)90185-9 – volume: 12 start-page: 1922 year: 2001 ident: 10.1016/j.renene.2014.12.072_bib15 article-title: Solar cell parameter extraction using genetic algorithms publication-title: Meas Sci Technol doi: 10.1088/0957-0233/12/11/322 – volume: 87 start-page: 457 issue: 1–4 year: 2005 ident: 10.1016/j.renene.2014.12.072_bib13 article-title: Determination of solar cell parameters from its current–voltage and spectral characteristics publication-title: Sol Energy Mater Sol Cells doi: 10.1016/j.solmat.2004.07.033 – start-page: 133 year: 1993 ident: 10.1016/j.renene.2014.12.072_bib29 article-title: A new method for accurate measurements of the lumped series resistance of solar cells – start-page: 002257 year: 2011 ident: 10.1016/j.renene.2014.12.072_bib31 article-title: Series resistance as a function of current and its application in solar cell analysis – volume: 84 start-page: 1318 issue: 7 year: 2010 ident: 10.1016/j.renene.2014.12.072_bib1 article-title: Insolation-oriented model of photovoltaic module using Matlab/simulink publication-title: Sol Energy doi: 10.1016/j.solener.2010.04.012 – year: 2010 ident: 10.1016/j.renene.2014.12.072_bib19 article-title: A study of particle swarm technique for renewable energy power systems – volume: 112 start-page: 185 year: 2013 ident: 10.1016/j.renene.2014.12.072_bib25 article-title: Parameter estimation of solar cells and modules using an improved adaptive differential evolution algorithm publication-title: Appl Energy doi: 10.1016/j.apenergy.2013.06.004 – year: 2007 ident: 10.1016/j.renene.2014.12.072_bib24 – volume: 91 start-page: 1222 issue: 13 year: 2007 ident: 10.1016/j.renene.2014.12.072_bib28 article-title: Analysis of multicrystalline silicon solar cells by modified 3-diode equivalent circuit model taking leakage current through periphery into consideration publication-title: Sol Energy Mater Sol Cells doi: 10.1016/j.solmat.2007.04.009 – volume: 75 start-page: 367 issue: 4 year: 2004 ident: 10.1016/j.renene.2014.12.072_bib11 article-title: Extracting dc parameters of solar cells under illumination publication-title: Vacuum doi: 10.1016/j.vacuum.2004.05.001 – start-page: 1 year: 2011 ident: 10.1016/j.renene.2014.12.072_bib21 article-title: Parameter determination of photovoltaic cells from field testing data using particle swarm optimization – volume: 1 start-page: 151 issue: 3 year: 2009 ident: 10.1016/j.renene.2014.12.072_bib5 article-title: Computer simulation based study of photovoltaic cells/modules and their experimental verification publication-title: Int J Recent Trends Eng – volume: 19 start-page: 1613 issue: 7 year: 2011 ident: 10.1016/j.renene.2014.12.072_bib6 article-title: Modeling and simulation of photovoltaic (PV) system during partial shading based on a two-diode model publication-title: Simul Model Pract Theory doi: 10.1016/j.simpat.2011.04.005 – volume: 85 start-page: 713 issue: 5 year: 2011 ident: 10.1016/j.renene.2014.12.072_bib2 article-title: Explicit model of photovoltaic panels to determine voltages and currents at the maximum power point publication-title: Sol Energy doi: 10.1016/j.solener.2010.12.022 – volume: 99 start-page: 297 year: 2012 ident: 10.1016/j.renene.2014.12.072_bib26 article-title: Parameter extraction of solar photovoltaic modules using penalty-based differential evolution publication-title: Appl Energy doi: 10.1016/j.apenergy.2012.05.017 – volume: 85 start-page: 2217 issue: 9 year: 2011 ident: 10.1016/j.renene.2014.12.072_bib8 article-title: A comprehensive MATLAB Simulink PV system simulator with partial shading capability based on two-diode model publication-title: Sol Energy doi: 10.1016/j.solener.2011.06.008 – volume: 3 start-page: 124 issue: 1 year: 2011 ident: 10.1016/j.renene.2014.12.072_bib4 article-title: A study of silicon solar cells and modules using PSPICE publication-title: World J Appl Sci Technol – volume: 87 start-page: 442 issue: 2 year: 2010 ident: 10.1016/j.renene.2014.12.072_bib22 article-title: Numerical method for the extraction of photovoltaic module double-diode model parameters through cluster analysis publication-title: Appl Energy doi: 10.1016/j.apenergy.2009.07.022 – volume: 87 start-page: 225 issue: 1–4 year: 2005 ident: 10.1016/j.renene.2014.12.072_bib12 article-title: Extraction and analysis of solar cell parameters from the illuminated current–voltage curve publication-title: Sol Energy Mater Sol Cells doi: 10.1016/j.solmat.2004.07.019 – volume: 116 start-page: 339 year: 2009 ident: 10.1016/j.renene.2014.12.072_bib23 article-title: Opposition-based particle swarm optimization with velocity clamping (OVCPSO) publication-title: Adv Intelligent Soft Comput doi: 10.1007/978-3-642-03156-4_34 – volume: 91 start-page: 1647 issue: 18 year: 2007 ident: 10.1016/j.renene.2014.12.072_bib9 article-title: Solar cells parameters evaluation considering the series and shunt resistance publication-title: Sol Energy Mater Sol Cells doi: 10.1016/j.solmat.2007.05.019 – volume: 23 start-page: 302 issue: 1 year: 2008 ident: 10.1016/j.renene.2014.12.072_bib7 article-title: Matlab-based modeling to study the effects of partial shading on PV array characteristics publication-title: IEEE Trans Energy Convers doi: 10.1109/TEC.2007.914308 – volume: 44 start-page: 238 year: 2012 ident: 10.1016/j.renene.2014.12.072_bib17 article-title: Optimal extraction of solar cell parameters using pattern search publication-title: Renew Energy doi: 10.1016/j.renene.2012.01.082 – volume: 110 issue: 1 year: 2011 ident: 10.1016/j.renene.2014.12.072_bib27 article-title: Explanation of commonly observed shunt currents in c-Si solar cells by means of recombination statistics beyond the Shockley-Read-Hall approximation publication-title: J Appl Phys doi: 10.1063/1.3607310 – volume: 18 start-page: 1601 year: 2012 ident: 10.1016/j.renene.2014.12.072_bib10 article-title: Solar cells parameters evaluation from dark I-V characteristics publication-title: Energy Procedia doi: 10.1016/j.egypro.2012.06.001 – volume: 85 start-page: 1543 issue: 7 year: 2011 ident: 10.1016/j.renene.2014.12.072_bib16 article-title: A new estimation approach for determining the I–V characteristics of solar cells publication-title: Sol Energy doi: 10.1016/j.solener.2011.04.013 – volume: 95 start-page: 586 issue: 2 year: 2011 ident: 10.1016/j.renene.2014.12.072_bib3 article-title: Simple, fast and accurate two-diode model for photovoltaic modules publication-title: Sol Energy Mater Sol Cells doi: 10.1016/j.solmat.2010.09.023 – start-page: 80 year: 2012 ident: 10.1016/j.renene.2014.12.072_bib18 article-title: Heuristic approach for estimating the solar cell parameters – volume: 35 start-page: 2431 issue: 11 year: 2010 ident: 10.1016/j.renene.2014.12.072_bib20 article-title: A particle swarm optimization for wind energy control problem publication-title: Renew Energy doi: 10.1016/j.renene.2010.02.020 |
| SSID | ssj0015874 |
| Score | 2.6100037 |
| Snippet | A new lumped-parameter equivalent circuit model using three-diodes is presented in this work for large area (∼154.8 cm2) industrial silicon solar cells. The... A new lumped-parameter equivalent circuit model using three-diodes is presented in this work for large area (∼154.8 cm²) industrial silicon solar cells. The... |
| SourceID | proquest crossref elsevier |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 105 |
| SubjectTerms | algorithms diodes Parameter estimation PSO algorithm renewable energy sources Solar cell solar cells Three-diode model Two-diode model |
| Title | A three diode model for industrial solar cells and estimation of solar cell parameters using PSO algorithm |
| URI | https://dx.doi.org/10.1016/j.renene.2014.12.072 https://www.proquest.com/docview/2116894528 |
| Volume | 78 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Baden-Württemberg Complete Freedom Collection (Elsevier) customDbUrl: eissn: 1879-0682 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0015874 issn: 0960-1481 databaseCode: GBLVA dateStart: 20110101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVESC databaseName: Elsevier ScienceDirect [Accès UNIL ; CHUV ; HEP Vaud ; Sites BCUL] customDbUrl: eissn: 1879-0682 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0015874 issn: 0960-1481 databaseCode: ACRLP dateStart: 19950201 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals [SCFCJ] customDbUrl: eissn: 1879-0682 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0015874 issn: 0960-1481 databaseCode: AIKHN dateStart: 19950201 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVESC databaseName: ScienceDirect (Elsevier) customDbUrl: eissn: 1879-0682 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0015874 issn: 0960-1481 databaseCode: .~1 dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVLSH databaseName: Elsevier Journals customDbUrl: mediaType: online eissn: 1879-0682 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0015874 issn: 0960-1481 databaseCode: AKRWK dateStart: 19910101 isFulltext: true providerName: Library Specific Holdings |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8QwEA6LXvQgPvFNBK9xt3m06XERZVVcBRX2FpI2XSvailuv_nZn-lhUEMFj26SUmXTmS_jmG0KOfahFmHDFuHUZkz6ImbNRzGw80CmHjC_r_inX43D0IC8natIjp10tDNIq29jfxPQ6Wrd3-q01-6953r9D8A1gHiFNnWmxgl1G2MXg5GNO8wiUbpSYYTDD0V35XM3xQtXIAsUyA1kfCkb8t_T0I1DX2ed8lay0sJEOmy9bIz1frJPlL2KCG-RpSCtwjKdpXqae1i1uKEBSms-7c9AZbmQpHtbPqC1SihIbTe0iLbMvTykqgr8gU2ZGkRk_pbd3N9Q-T8u3vHp82ST352f3pyPWdlJgiRBxxTQkncQpjg4IfIBl2cr5SKfCC-3DTHEnAkAeLhtEqYus1MI5mANgxWXZQGyRhaIs_DahWWJjH_FEK5lJkaY2iRXscwdJGFsAm3aHiM5-JmlVxrHZxbPp6GRPprG6QaubgBuw-g5h81mvjcrGH-OjzjXm22oxkAj-mHnUedLAj4QmtYUv32cGdsKhjqXievffb98jS3ClGirZPlmo3t79AYCWyh3Wq_KQLA4vrkbjT3iL7I0 |
| linkProvider | Elsevier |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8QwEA66HtSD-MS3EbzG3SZNmx4XUVbdVcEVvIWkTbWirbj16m93po9FBRG8NkkpM9OZb8LMN4QcuUCJIOaScWNT5jsvYtaEETNRTyUcIr5fzU8ZXQWDO__iXt7PkJO2FwbLKhvfX_v0yls3T7qNNLuvWda9RfANYB4hTRVpZ8mcL3mIGdjxx7TOw5OqpmKG3Qy3t_1zVZEX0kbmyJbp-dWtYMh_i08_PHUVfs6WyVKDG2m__rQVMuPyVbL4hU1wjTz1aQmacTTJisTRasYNBUxKs-l4DjrBTJbibf2EmjyhyLFRNy_SIv2ySpES_AVLZSYUS-Mf6M3tNTXPD8VbVj6-rJPx2en4ZMCaUQosFiIqmYKoE1vJUQOe87AvW1oXqkQ4oVyQSm6FB9DDpr0wsaHxlbAWzgBasWnaExukkxe52yQ0jU3kQh4r6ae-SBITRxIS3V4cRAbQptkiopWfjhuacZx28azberInXUtdo9S1xzVIfYuw6anXmmbjj_1hqxr9zVw0RII_Th62mtTwJ6FITe6K94mGVDhQEZiQ2v732w_I_GA8Gurh-dXlDlmAFVnXle2STvn27vYAwZR2v7LQT_uY7iI |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+three+diode+model+for+industrial+solar+cells+and+estimation+of+solar+cell+parameters+using+PSO+algorithm&rft.jtitle=Renewable+energy&rft.au=Khanna%2C+Vandana&rft.au=Das%2C+B.K.&rft.au=Bisht%2C+Dinesh&rft.au=Vandana&rft.date=2015-06-01&rft.issn=0960-1481&rft.volume=78&rft.spage=105&rft.epage=113&rft_id=info:doi/10.1016%2Fj.renene.2014.12.072&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_renene_2014_12_072 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0960-1481&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0960-1481&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0960-1481&client=summon |