Computational and experimental studies of high depth algal raceway pond photo-bioreactor

Microalgae are promising candidate for biofuels as well as precursors for many high value products like polyunsaturated fatty acids, pigments or polysaccharides. Major cultivation of microalgae is carried out in open raceway ponds. Conventional raceway pond designs with paddle wheels have limitation...
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Autor*in:	Sawant, S.S. [verfasserIn] Khadamkar, H.P. [verfasserIn] Mathpati, C.S. [verfasserIn] Pandit, Reena [verfasserIn] Lali, A.M. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	Algae Raceway pond Hydrofoil Computational fluid dynamics Mixing

Übergeordnetes Werk:	Enthalten in: Renewable energy - Amsterdam [u.a.] : Elsevier Science, 1991, 118, Seite 152-159
Übergeordnetes Werk:	volume:118 ; pages:152-159

DOI / URN:	10.1016/j.renene.2017.11.015

Katalog-ID:	ELV001055372

Internformat


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245	1	0	\|a Computational and experimental studies of high depth algal raceway pond photo-bioreactor
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520			\|a Microalgae are promising candidate for biofuels as well as precursors for many high value products like polyunsaturated fatty acids, pigments or polysaccharides. Major cultivation of microalgae is carried out in open raceway ponds. Conventional raceway pond designs with paddle wheels have limitations such as high capital investment, inefficient mixing, lower depth (approximately 0.3 m) and lower productivity. In the present work, a modified high depth (1 m) raceway pond design with side entry axial flow impeller has been studied. The higher depth decreases the land requirement as well as capital cost. The pilot scale (4.5 m3) studies for cultivation of Spirullinaplatensis in nutrient rich Zarrouk's culture media have shown productivity of 21.22 gm/m2/day compared to 11.05 gm/m2/day in convectional raceway ponds. The specific power consumption was found to be 4 W/gm in modified design compared to 6 W/gm in conventional design. Computational Fluid Dynamics (CFD) analysis shows that modified design minimized the excessive turbulence generation and provided higher convective currents keeping biomass in suspension. The simulation results have been validated with ultrasonic velocity profiler (UVP) and particle image velocimetry (PIV) measurements.
650		4	\|a Algae
650		4	\|a Raceway pond
650		4	\|a Hydrofoil
650		4	\|a Computational fluid dynamics
650		4	\|a Mixing
700	1		\|a Khadamkar, H.P. \|e verfasserin \|4 aut
700	1		\|a Mathpati, C.S. \|e verfasserin \|4 aut
700	1		\|a Pandit, Reena \|e verfasserin \|4 aut
700	1		\|a Lali, A.M. \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Renewable energy \|d Amsterdam [u.a.] : Elsevier Science, 1991 \|g 118, Seite 152-159 \|h Online-Ressource \|w (DE-627)320412091 \|w (DE-600)2001449-1 \|w (DE-576)252613937 \|x 1879-0682 \|7 nnns
773	1	8	\|g volume:118 \|g pages:152-159
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912			\|a GBV_ILN_74
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_101
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912			\|a GBV_ILN_110
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912			\|a GBV_ILN_151
912			\|a GBV_ILN_187
912			\|a GBV_ILN_224
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2007
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2026
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2031
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2037
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2039
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2070
912			\|a GBV_ILN_2086
912			\|a GBV_ILN_2098
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2108
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2116
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2119
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2144
912			\|a GBV_ILN_2147
912			\|a GBV_ILN_2148
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2188
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2232
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_2522
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4046
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4393
936	b	k	\|a 52.56 \|j Regenerative Energieformen \|j alternative Energieformen
951			\|a AR
952			\|d 118 \|h 152-159

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publishDate	2017
allfields	10.1016/j.renene.2017.11.015 doi (DE-627)ELV001055372 (ELSEVIER)S0960-1481(17)31116-3 DE-627 ger DE-627 rda eng 530 620 DE-600 52.56 bkl Sawant, S.S. verfasserin aut Computational and experimental studies of high depth algal raceway pond photo-bioreactor 2017 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Microalgae are promising candidate for biofuels as well as precursors for many high value products like polyunsaturated fatty acids, pigments or polysaccharides. Major cultivation of microalgae is carried out in open raceway ponds. Conventional raceway pond designs with paddle wheels have limitations such as high capital investment, inefficient mixing, lower depth (approximately 0.3 m) and lower productivity. In the present work, a modified high depth (1 m) raceway pond design with side entry axial flow impeller has been studied. The higher depth decreases the land requirement as well as capital cost. The pilot scale (4.5 m3) studies for cultivation of Spirullinaplatensis in nutrient rich Zarrouk's culture media have shown productivity of 21.22 gm/m2/day compared to 11.05 gm/m2/day in convectional raceway ponds. The specific power consumption was found to be 4 W/gm in modified design compared to 6 W/gm in conventional design. Computational Fluid Dynamics (CFD) analysis shows that modified design minimized the excessive turbulence generation and provided higher convective currents keeping biomass in suspension. The simulation results have been validated with ultrasonic velocity profiler (UVP) and particle image velocimetry (PIV) measurements. Algae Raceway pond Hydrofoil Computational fluid dynamics Mixing Khadamkar, H.P. verfasserin aut Mathpati, C.S. verfasserin aut Pandit, Reena verfasserin aut Lali, A.M. verfasserin aut Enthalten in Renewable energy Amsterdam [u.a.] : Elsevier Science, 1991 118, Seite 152-159 Online-Ressource (DE-627)320412091 (DE-600)2001449-1 (DE-576)252613937 1879-0682 nnns volume:118 pages:152-159 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 118 152-159
spelling	10.1016/j.renene.2017.11.015 doi (DE-627)ELV001055372 (ELSEVIER)S0960-1481(17)31116-3 DE-627 ger DE-627 rda eng 530 620 DE-600 52.56 bkl Sawant, S.S. verfasserin aut Computational and experimental studies of high depth algal raceway pond photo-bioreactor 2017 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Microalgae are promising candidate for biofuels as well as precursors for many high value products like polyunsaturated fatty acids, pigments or polysaccharides. Major cultivation of microalgae is carried out in open raceway ponds. Conventional raceway pond designs with paddle wheels have limitations such as high capital investment, inefficient mixing, lower depth (approximately 0.3 m) and lower productivity. In the present work, a modified high depth (1 m) raceway pond design with side entry axial flow impeller has been studied. The higher depth decreases the land requirement as well as capital cost. The pilot scale (4.5 m3) studies for cultivation of Spirullinaplatensis in nutrient rich Zarrouk's culture media have shown productivity of 21.22 gm/m2/day compared to 11.05 gm/m2/day in convectional raceway ponds. The specific power consumption was found to be 4 W/gm in modified design compared to 6 W/gm in conventional design. Computational Fluid Dynamics (CFD) analysis shows that modified design minimized the excessive turbulence generation and provided higher convective currents keeping biomass in suspension. The simulation results have been validated with ultrasonic velocity profiler (UVP) and particle image velocimetry (PIV) measurements. Algae Raceway pond Hydrofoil Computational fluid dynamics Mixing Khadamkar, H.P. verfasserin aut Mathpati, C.S. verfasserin aut Pandit, Reena verfasserin aut Lali, A.M. verfasserin aut Enthalten in Renewable energy Amsterdam [u.a.] : Elsevier Science, 1991 118, Seite 152-159 Online-Ressource (DE-627)320412091 (DE-600)2001449-1 (DE-576)252613937 1879-0682 nnns volume:118 pages:152-159 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 118 152-159
allfields_unstemmed	10.1016/j.renene.2017.11.015 doi (DE-627)ELV001055372 (ELSEVIER)S0960-1481(17)31116-3 DE-627 ger DE-627 rda eng 530 620 DE-600 52.56 bkl Sawant, S.S. verfasserin aut Computational and experimental studies of high depth algal raceway pond photo-bioreactor 2017 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Microalgae are promising candidate for biofuels as well as precursors for many high value products like polyunsaturated fatty acids, pigments or polysaccharides. Major cultivation of microalgae is carried out in open raceway ponds. Conventional raceway pond designs with paddle wheels have limitations such as high capital investment, inefficient mixing, lower depth (approximately 0.3 m) and lower productivity. In the present work, a modified high depth (1 m) raceway pond design with side entry axial flow impeller has been studied. The higher depth decreases the land requirement as well as capital cost. The pilot scale (4.5 m3) studies for cultivation of Spirullinaplatensis in nutrient rich Zarrouk's culture media have shown productivity of 21.22 gm/m2/day compared to 11.05 gm/m2/day in convectional raceway ponds. The specific power consumption was found to be 4 W/gm in modified design compared to 6 W/gm in conventional design. Computational Fluid Dynamics (CFD) analysis shows that modified design minimized the excessive turbulence generation and provided higher convective currents keeping biomass in suspension. The simulation results have been validated with ultrasonic velocity profiler (UVP) and particle image velocimetry (PIV) measurements. Algae Raceway pond Hydrofoil Computational fluid dynamics Mixing Khadamkar, H.P. verfasserin aut Mathpati, C.S. verfasserin aut Pandit, Reena verfasserin aut Lali, A.M. verfasserin aut Enthalten in Renewable energy Amsterdam [u.a.] : Elsevier Science, 1991 118, Seite 152-159 Online-Ressource (DE-627)320412091 (DE-600)2001449-1 (DE-576)252613937 1879-0682 nnns volume:118 pages:152-159 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 118 152-159
allfieldsGer	10.1016/j.renene.2017.11.015 doi (DE-627)ELV001055372 (ELSEVIER)S0960-1481(17)31116-3 DE-627 ger DE-627 rda eng 530 620 DE-600 52.56 bkl Sawant, S.S. verfasserin aut Computational and experimental studies of high depth algal raceway pond photo-bioreactor 2017 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Microalgae are promising candidate for biofuels as well as precursors for many high value products like polyunsaturated fatty acids, pigments or polysaccharides. Major cultivation of microalgae is carried out in open raceway ponds. Conventional raceway pond designs with paddle wheels have limitations such as high capital investment, inefficient mixing, lower depth (approximately 0.3 m) and lower productivity. In the present work, a modified high depth (1 m) raceway pond design with side entry axial flow impeller has been studied. The higher depth decreases the land requirement as well as capital cost. The pilot scale (4.5 m3) studies for cultivation of Spirullinaplatensis in nutrient rich Zarrouk's culture media have shown productivity of 21.22 gm/m2/day compared to 11.05 gm/m2/day in convectional raceway ponds. The specific power consumption was found to be 4 W/gm in modified design compared to 6 W/gm in conventional design. Computational Fluid Dynamics (CFD) analysis shows that modified design minimized the excessive turbulence generation and provided higher convective currents keeping biomass in suspension. The simulation results have been validated with ultrasonic velocity profiler (UVP) and particle image velocimetry (PIV) measurements. Algae Raceway pond Hydrofoil Computational fluid dynamics Mixing Khadamkar, H.P. verfasserin aut Mathpati, C.S. verfasserin aut Pandit, Reena verfasserin aut Lali, A.M. verfasserin aut Enthalten in Renewable energy Amsterdam [u.a.] : Elsevier Science, 1991 118, Seite 152-159 Online-Ressource (DE-627)320412091 (DE-600)2001449-1 (DE-576)252613937 1879-0682 nnns volume:118 pages:152-159 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 118 152-159
allfieldsSound	10.1016/j.renene.2017.11.015 doi (DE-627)ELV001055372 (ELSEVIER)S0960-1481(17)31116-3 DE-627 ger DE-627 rda eng 530 620 DE-600 52.56 bkl Sawant, S.S. verfasserin aut Computational and experimental studies of high depth algal raceway pond photo-bioreactor 2017 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Microalgae are promising candidate for biofuels as well as precursors for many high value products like polyunsaturated fatty acids, pigments or polysaccharides. Major cultivation of microalgae is carried out in open raceway ponds. Conventional raceway pond designs with paddle wheels have limitations such as high capital investment, inefficient mixing, lower depth (approximately 0.3 m) and lower productivity. In the present work, a modified high depth (1 m) raceway pond design with side entry axial flow impeller has been studied. The higher depth decreases the land requirement as well as capital cost. The pilot scale (4.5 m3) studies for cultivation of Spirullinaplatensis in nutrient rich Zarrouk's culture media have shown productivity of 21.22 gm/m2/day compared to 11.05 gm/m2/day in convectional raceway ponds. The specific power consumption was found to be 4 W/gm in modified design compared to 6 W/gm in conventional design. Computational Fluid Dynamics (CFD) analysis shows that modified design minimized the excessive turbulence generation and provided higher convective currents keeping biomass in suspension. The simulation results have been validated with ultrasonic velocity profiler (UVP) and particle image velocimetry (PIV) measurements. Algae Raceway pond Hydrofoil Computational fluid dynamics Mixing Khadamkar, H.P. verfasserin aut Mathpati, C.S. verfasserin aut Pandit, Reena verfasserin aut Lali, A.M. verfasserin aut Enthalten in Renewable energy Amsterdam [u.a.] : Elsevier Science, 1991 118, Seite 152-159 Online-Ressource (DE-627)320412091 (DE-600)2001449-1 (DE-576)252613937 1879-0682 nnns volume:118 pages:152-159 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 118 152-159
language	English
source	Enthalten in Renewable energy 118, Seite 152-159 volume:118 pages:152-159
sourceStr	Enthalten in Renewable energy 118, Seite 152-159 volume:118 pages:152-159
format_phy_str_mv	Article
bklname	Regenerative Energieformen alternative Energieformen
institution	findex.gbv.de
topic_facet	Algae Raceway pond Hydrofoil Computational fluid dynamics Mixing
dewey-raw	530
isfreeaccess_bool	false
container_title	Renewable energy
authorswithroles_txt_mv	Sawant, S.S. @@aut@@ Khadamkar, H.P. @@aut@@ Mathpati, C.S. @@aut@@ Pandit, Reena @@aut@@ Lali, A.M. @@aut@@
publishDateDaySort_date	2017-01-01T00:00:00Z
hierarchy_top_id	320412091
dewey-sort	3530
id	ELV001055372
language_de	englisch
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author	Sawant, S.S.
spellingShingle	Sawant, S.S. ddc 530 bkl 52.56 misc Algae misc Raceway pond misc Hydrofoil misc Computational fluid dynamics misc Mixing Computational and experimental studies of high depth algal raceway pond photo-bioreactor
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topic_title	530 620 DE-600 52.56 bkl Computational and experimental studies of high depth algal raceway pond photo-bioreactor Algae Raceway pond Hydrofoil Computational fluid dynamics Mixing
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title	Computational and experimental studies of high depth algal raceway pond photo-bioreactor
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title_full	Computational and experimental studies of high depth algal raceway pond photo-bioreactor
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title_sort	computational and experimental studies of high depth algal raceway pond photo-bioreactor
title_auth	Computational and experimental studies of high depth algal raceway pond photo-bioreactor
abstract	Microalgae are promising candidate for biofuels as well as precursors for many high value products like polyunsaturated fatty acids, pigments or polysaccharides. Major cultivation of microalgae is carried out in open raceway ponds. Conventional raceway pond designs with paddle wheels have limitations such as high capital investment, inefficient mixing, lower depth (approximately 0.3 m) and lower productivity. In the present work, a modified high depth (1 m) raceway pond design with side entry axial flow impeller has been studied. The higher depth decreases the land requirement as well as capital cost. The pilot scale (4.5 m3) studies for cultivation of Spirullinaplatensis in nutrient rich Zarrouk's culture media have shown productivity of 21.22 gm/m2/day compared to 11.05 gm/m2/day in convectional raceway ponds. The specific power consumption was found to be 4 W/gm in modified design compared to 6 W/gm in conventional design. Computational Fluid Dynamics (CFD) analysis shows that modified design minimized the excessive turbulence generation and provided higher convective currents keeping biomass in suspension. The simulation results have been validated with ultrasonic velocity profiler (UVP) and particle image velocimetry (PIV) measurements.
abstractGer	Microalgae are promising candidate for biofuels as well as precursors for many high value products like polyunsaturated fatty acids, pigments or polysaccharides. Major cultivation of microalgae is carried out in open raceway ponds. Conventional raceway pond designs with paddle wheels have limitations such as high capital investment, inefficient mixing, lower depth (approximately 0.3 m) and lower productivity. In the present work, a modified high depth (1 m) raceway pond design with side entry axial flow impeller has been studied. The higher depth decreases the land requirement as well as capital cost. The pilot scale (4.5 m3) studies for cultivation of Spirullinaplatensis in nutrient rich Zarrouk's culture media have shown productivity of 21.22 gm/m2/day compared to 11.05 gm/m2/day in convectional raceway ponds. The specific power consumption was found to be 4 W/gm in modified design compared to 6 W/gm in conventional design. Computational Fluid Dynamics (CFD) analysis shows that modified design minimized the excessive turbulence generation and provided higher convective currents keeping biomass in suspension. The simulation results have been validated with ultrasonic velocity profiler (UVP) and particle image velocimetry (PIV) measurements.
abstract_unstemmed	Microalgae are promising candidate for biofuels as well as precursors for many high value products like polyunsaturated fatty acids, pigments or polysaccharides. Major cultivation of microalgae is carried out in open raceway ponds. Conventional raceway pond designs with paddle wheels have limitations such as high capital investment, inefficient mixing, lower depth (approximately 0.3 m) and lower productivity. In the present work, a modified high depth (1 m) raceway pond design with side entry axial flow impeller has been studied. The higher depth decreases the land requirement as well as capital cost. The pilot scale (4.5 m3) studies for cultivation of Spirullinaplatensis in nutrient rich Zarrouk's culture media have shown productivity of 21.22 gm/m2/day compared to 11.05 gm/m2/day in convectional raceway ponds. The specific power consumption was found to be 4 W/gm in modified design compared to 6 W/gm in conventional design. Computational Fluid Dynamics (CFD) analysis shows that modified design minimized the excessive turbulence generation and provided higher convective currents keeping biomass in suspension. The simulation results have been validated with ultrasonic velocity profiler (UVP) and particle image velocimetry (PIV) measurements.
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title_short	Computational and experimental studies of high depth algal raceway pond photo-bioreactor
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author2	Khadamkar, H.P. Mathpati, C.S. Pandit, Reena Lali, A.M.
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up_date	2024-07-06T20:04:41.356Z
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Major cultivation of microalgae is carried out in open raceway ponds. Conventional raceway pond designs with paddle wheels have limitations such as high capital investment, inefficient mixing, lower depth (approximately 0.3 m) and lower productivity. In the present work, a modified high depth (1 m) raceway pond design with side entry axial flow impeller has been studied. The higher depth decreases the land requirement as well as capital cost. The pilot scale (4.5 m3) studies for cultivation of Spirullinaplatensis in nutrient rich Zarrouk's culture media have shown productivity of 21.22 gm/m2/day compared to 11.05 gm/m2/day in convectional raceway ponds. The specific power consumption was found to be 4 W/gm in modified design compared to 6 W/gm in conventional design. Computational Fluid Dynamics (CFD) analysis shows that modified design minimized the excessive turbulence generation and provided higher convective currents keeping biomass in suspension. 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"><subfield code="a">Pandit, Reena</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lali, A.M.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Renewable energy</subfield><subfield code="d">Amsterdam [u.a.] : Elsevier Science, 1991</subfield><subfield code="g">118, Seite 152-159</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)320412091</subfield><subfield code="w">(DE-600)2001449-1</subfield><subfield code="w">(DE-576)252613937</subfield><subfield code="x">1879-0682</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:118</subfield><subfield code="g">pages:152-159</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield 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Computational and experimental studies of high depth algal raceway pond photo-bioreactor

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