Eintrag weiter verarbeiten
Modelling and optimization of an off-grid hybrid renewable energy system for electrification in a rural areas
Gespeichert in:
| Veröffentlicht in: | Energy reports 6(2020) vom: Feb., Seite 594-604 |
|---|---|
| Personen und Körperschaften: | , , |
| Titel: | Modelling and optimization of an off-grid hybrid renewable energy system for electrification in a rural areas/ Vendoti Suresh, Muralidhar M., R. Kiranmayi |
| Format: | E-Book-Kapitel |
| Sprache: | Englisch |
| veröffentlicht: |
2020
|
| Gesamtaufnahme: |
: Energy reports, 6(2020) vom: Feb., Seite 594-604
, volume:6 |
| Schlagwörter: | |
| Quelle: | Verbunddaten SWB Lizenzfreie Online-Ressourcen |
| LEADER | 03598caa a2200493 4500 | ||
|---|---|---|---|
| 001 | 0-1694150933 | ||
| 003 | DE-627 | ||
| 005 | 20220121154341.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 200407s2020 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.egyr.2020.01.013 |2 doi | |
| 024 | 7 | |a 10419/244061 |2 hdl | |
| 035 | |a (DE-627)1694150933 | ||
| 035 | |a (DE-599)KXP1694150933 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 100 | 1 | |a Suresh, Vendoti |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Modelling and optimization of an off-grid hybrid renewable energy system for electrification in a rural areas |c Vendoti Suresh, Muralidhar M., R. Kiranmayi |
| 264 | 1 | |c 2020 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 506 | 0 | |q DE-206 |a Open Access |e Controlled Vocabulary for Access Rights |u http://purl.org/coar/access_right/c_abf2 | |
| 520 | |a Energy required by remote village areas can be met quite reliably by hybrid energy technologies. The project under consideration is for electrifying a group of three villages in Kollegal block of Chamarajanagar district, Karnataka State in India using an off-grid hybrid renewable energy system. The process of optimizing such hybrid energy system control, sizing and choice of components is to provide it with a cost effective power solution for the society. The main objective of this paper is to reduce the Total System Net Preset Cost (TNPC), Cost of Energy (COE), unmet load, CO2 emissions using Genetic Algorithm (GA) and HOMER Pro Software. The results of the two methods are compared with four combinations of hybrid renewable energy systems (HRES). A sensitivity analysis is also performed on the best possible solution to the study for changes in annual wind speed and biomass fuel prices. Finally, a comparative analysis is performed between the GA and HOMER. Compared to HOMER, GA based HRES of combination-1( biogas+biomass+solar+ wind+ fuel cell with battery) is found to be the optimal solution supplying energy with 0% unmet load at the least cost of energy, which is at $ 0.163 per KWH. Thus PV saturation in GA is more cost effective than the HOMER. | ||
| 540 | |q DE-206 |a Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |f CC BY-NC-ND 4.0 |2 cc |u https://creativecommons.org/licenses/by-nc-nd/4.0/ | ||
| 655 | 4 | |a Aufsatz in Zeitschrift |5 DE-206 | |
| 700 | 1 | |a M., Muralidhar |e VerfasserIn |4 aut | |
| 700 | 1 | |a Kiranmayi, R. |e VerfasserIn |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Energy reports |d Amsterdam [u.a.] : Elsevier, 2015 |g 6(2020) vom: Feb., Seite 594-604 |h Online-Ressource |w (DE-627)820689033 |w (DE-600)2814795-9 |w (DE-576)427950821 |x 2352-4847 |7 nnns |
| 773 | 1 | 8 | |g volume:6 |g year:2020 |g month:02 |g pages:594-604 |
| 856 | 4 | 0 | |u https://www.sciencedirect.com/science/article/pii/S2352484718304499/pdfft?md5=c31fc9a3a1ec2ba360b25baa6ab40fcd&pid=1-s2.0-S2352484718304499-main.pdf |x Verlag |z kostenfrei |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.egyr.2020.01.013 |x Resolving-System |z kostenfrei |
| 856 | 4 | 0 | |u http://hdl.handle.net/10419/244061 |x Resolving-System |z kostenfrei |
| 936 | u | w | |d 6 |j 2020 |c 2 |h 594-604 |
| 951 | |a AR | ||
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.egyr.2020.01.013 |9 LFER |
| 856 | 4 | 0 | |u https://www.sciencedirect.com/science/article/pii/S2352484718304499/pdfft?md5=c31fc9a3a1ec2ba360b25baa6ab40fcd&pid=1-s2.0-S2352484718304499-main.pdf |9 LFER |
| 852 | |a LFER |z 2020-04-07T00:00:00Z | ||
| 970 | |c OD | ||
| 971 | |c EBOOK | ||
| 972 | |c EBOOK | ||
| 973 | |c Aufsatz | ||
| 935 | |a lfer | ||
| 980 | |a 1694150933 |b 0 |k 1694150933 |c lfer | ||
| openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Modelling+and+optimization+of+an+off-grid+hybrid+renewable+energy+system+for+electrification+in+a+rural+areas&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.creator=Suresh%2C+Vendoti&rft.pub=&rft.format=Journal&rft.language=English&rft.issn=2352-4847 |
|---|
| _version_ | 1757965710336720896 |
|---|---|
| access_facet | Electronic Resources |
| access_state_str | Open Access |
| author | Suresh, Vendoti, M., Muralidhar, Kiranmayi, R. |
| author_facet | Suresh, Vendoti, M., Muralidhar, Kiranmayi, R. |
| author_role | aut, aut, aut |
| author_sort | Suresh, Vendoti |
| author_variant | v s vs, m m mm, r k rk |
| callnumber-sort | |
| collection | lfer |
| container_reference | 6(2020) vom: Feb., Seite 594-604 |
| container_title | Energy reports |
| contents | Energy required by remote village areas can be met quite reliably by hybrid energy technologies. The project under consideration is for electrifying a group of three villages in Kollegal block of Chamarajanagar district, Karnataka State in India using an off-grid hybrid renewable energy system. The process of optimizing such hybrid energy system control, sizing and choice of components is to provide it with a cost effective power solution for the society. The main objective of this paper is to reduce the Total System Net Preset Cost (TNPC), Cost of Energy (COE), unmet load, CO2 emissions using Genetic Algorithm (GA) and HOMER Pro Software. The results of the two methods are compared with four combinations of hybrid renewable energy systems (HRES). A sensitivity analysis is also performed on the best possible solution to the study for changes in annual wind speed and biomass fuel prices. Finally, a comparative analysis is performed between the GA and HOMER. Compared to HOMER, GA based HRES of combination-1( biogas+biomass+solar+ wind+ fuel cell with battery) is found to be the optimal solution supplying energy with 0% unmet load at the least cost of energy, which is at $ 0.163 per KWH. Thus PV saturation in GA is more cost effective than the HOMER. |
| ctrlnum | (DE-627)1694150933, (DE-599)KXP1694150933 |
| doi_str_mv | 10.1016/j.egyr.2020.01.013 |
| facet_avail | Online, Free |
| finc_class_facet | not assigned |
| format | ElectronicBookComponentPart |
| format_access_txtF_mv | Article, E-Article |
| format_de105 | Ebook |
| format_de14 | Article, E-Article |
| format_de15 | Article, E-Article |
| format_del152 | Buch |
| format_detail_txtF_mv | text-online-monograph-child |
| format_dezi4 | e-Book |
| format_finc | Article, E-Article |
| format_legacy | ElectronicBookPart |
| format_strict_txtF_mv | E-Article |
| genre | Aufsatz in Zeitschrift DE-206 |
| genre_facet | Aufsatz in Zeitschrift |
| geogr_code | not assigned |
| geogr_code_person | not assigned |
| hierarchy_parent_id | 0-820689033 |
| hierarchy_parent_title | Energy reports |
| hierarchy_sequence | 6(2020) vom: Feb., Seite 594-604 |
| hierarchy_top_id | 0-820689033 |
| hierarchy_top_title | Energy reports |
| id | 0-1694150933 |
| illustrated | Not Illustrated |
| imprint | 2020 |
| imprint_str_mv | 2020 |
| institution | DE-D117, DE-105, LFER, DE-Ch1, DE-15, DE-14, DE-Zwi2 |
| is_hierarchy_id | 0-1694150933 |
| is_hierarchy_title | Modelling and optimization of an off-grid hybrid renewable energy system for electrification in a rural areas |
| isil_str_mv | LFER |
| issn | 2352-4847 |
| kxp_id_str | 1694150933 |
| language | English |
| last_indexed | 2023-02-16T05:52:25.562Z |
| license_str_mv | https://creativecommons.org/licenses/by-nc-nd |
| marc024a_ct_mv | 10.1016/j.egyr.2020.01.013, 10419/244061 |
| match_str | suresh2020modellingandoptimizationofanoffgridhybridrenewableenergysystemforelectrificationinaruralareas |
| mega_collection | Verbunddaten SWB, Lizenzfreie Online-Ressourcen |
| misc_de105 | EBOOK |
| multipart_link | 427950821 |
| multipart_part | (427950821)6(2020) vom: Feb., Seite 594-604 |
| publishDate | 2020 |
| publishDateSort | 2020 |
| publishPlace | |
| publisher | |
| record_format | marcfinc |
| record_id | 1694150933 |
| recordtype | marcfinc |
| rvk_facet | No subject assigned |
| source_id | 0 |
| spelling | Suresh, Vendoti VerfasserIn aut, Modelling and optimization of an off-grid hybrid renewable energy system for electrification in a rural areas Vendoti Suresh, Muralidhar M., R. Kiranmayi, 2020, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2, Energy required by remote village areas can be met quite reliably by hybrid energy technologies. The project under consideration is for electrifying a group of three villages in Kollegal block of Chamarajanagar district, Karnataka State in India using an off-grid hybrid renewable energy system. The process of optimizing such hybrid energy system control, sizing and choice of components is to provide it with a cost effective power solution for the society. The main objective of this paper is to reduce the Total System Net Preset Cost (TNPC), Cost of Energy (COE), unmet load, CO2 emissions using Genetic Algorithm (GA) and HOMER Pro Software. The results of the two methods are compared with four combinations of hybrid renewable energy systems (HRES). A sensitivity analysis is also performed on the best possible solution to the study for changes in annual wind speed and biomass fuel prices. Finally, a comparative analysis is performed between the GA and HOMER. Compared to HOMER, GA based HRES of combination-1( biogas+biomass+solar+ wind+ fuel cell with battery) is found to be the optimal solution supplying energy with 0% unmet load at the least cost of energy, which is at $ 0.163 per KWH. Thus PV saturation in GA is more cost effective than the HOMER., DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/, Aufsatz in Zeitschrift DE-206, M., Muralidhar VerfasserIn aut, Kiranmayi, R. VerfasserIn aut, Enthalten in Energy reports Amsterdam [u.a.] : Elsevier, 2015 6(2020) vom: Feb., Seite 594-604 Online-Ressource (DE-627)820689033 (DE-600)2814795-9 (DE-576)427950821 2352-4847 nnns, volume:6 year:2020 month:02 pages:594-604, https://www.sciencedirect.com/science/article/pii/S2352484718304499/pdfft?md5=c31fc9a3a1ec2ba360b25baa6ab40fcd&pid=1-s2.0-S2352484718304499-main.pdf Verlag kostenfrei, https://doi.org/10.1016/j.egyr.2020.01.013 Resolving-System kostenfrei, http://hdl.handle.net/10419/244061 Resolving-System kostenfrei, https://doi.org/10.1016/j.egyr.2020.01.013 LFER, https://www.sciencedirect.com/science/article/pii/S2352484718304499/pdfft?md5=c31fc9a3a1ec2ba360b25baa6ab40fcd&pid=1-s2.0-S2352484718304499-main.pdf LFER, LFER 2020-04-07T00:00:00Z |
| spellingShingle | Suresh, Vendoti, M., Muralidhar, Kiranmayi, R., Modelling and optimization of an off-grid hybrid renewable energy system for electrification in a rural areas, Energy required by remote village areas can be met quite reliably by hybrid energy technologies. The project under consideration is for electrifying a group of three villages in Kollegal block of Chamarajanagar district, Karnataka State in India using an off-grid hybrid renewable energy system. The process of optimizing such hybrid energy system control, sizing and choice of components is to provide it with a cost effective power solution for the society. The main objective of this paper is to reduce the Total System Net Preset Cost (TNPC), Cost of Energy (COE), unmet load, CO2 emissions using Genetic Algorithm (GA) and HOMER Pro Software. The results of the two methods are compared with four combinations of hybrid renewable energy systems (HRES). A sensitivity analysis is also performed on the best possible solution to the study for changes in annual wind speed and biomass fuel prices. Finally, a comparative analysis is performed between the GA and HOMER. Compared to HOMER, GA based HRES of combination-1( biogas+biomass+solar+ wind+ fuel cell with battery) is found to be the optimal solution supplying energy with 0% unmet load at the least cost of energy, which is at $ 0.163 per KWH. Thus PV saturation in GA is more cost effective than the HOMER., Aufsatz in Zeitschrift |
| title | Modelling and optimization of an off-grid hybrid renewable energy system for electrification in a rural areas |
| title_auth | Modelling and optimization of an off-grid hybrid renewable energy system for electrification in a rural areas |
| title_full | Modelling and optimization of an off-grid hybrid renewable energy system for electrification in a rural areas Vendoti Suresh, Muralidhar M., R. Kiranmayi |
| title_fullStr | Modelling and optimization of an off-grid hybrid renewable energy system for electrification in a rural areas Vendoti Suresh, Muralidhar M., R. Kiranmayi |
| title_full_unstemmed | Modelling and optimization of an off-grid hybrid renewable energy system for electrification in a rural areas Vendoti Suresh, Muralidhar M., R. Kiranmayi |
| title_in_hierarchy | Modelling and optimization of an off-grid hybrid renewable energy system for electrification in a rural areas / Vendoti Suresh, Muralidhar M., R. Kiranmayi, |
| title_short | Modelling and optimization of an off-grid hybrid renewable energy system for electrification in a rural areas |
| title_sort | modelling and optimization of an off grid hybrid renewable energy system for electrification in a rural areas |
| topic | Aufsatz in Zeitschrift |
| topic_facet | Aufsatz in Zeitschrift |
| url | https://www.sciencedirect.com/science/article/pii/S2352484718304499/pdfft?md5=c31fc9a3a1ec2ba360b25baa6ab40fcd&pid=1-s2.0-S2352484718304499-main.pdf, https://doi.org/10.1016/j.egyr.2020.01.013, http://hdl.handle.net/10419/244061 |