Multi Attribute Investment Planning of a Grid-Connected Diesel/Wind/PV/Battery Hybrid Energy System
Recently, along with the depletion of fossil fuels and growing electrical requirements, more attention has been paid on utilizing Renewable Energy Sources (RESs). The Chichest tourism complex is located 20 km far from Orumieh, Iran which has been supplied through the main distribution grid connectio...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Materials and Energy Research Center (MERC)
2014-12-01
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| Series: | Journal of Renewable Energy and Environment |
| Subjects: | |
| Online Access: | https://www.jree.ir/article_70055_4ae4d99123151b53873f055ca547ee2e.pdf |
| _version_ | 1797790507634524160 |
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| author | Sajjad Golshannavaz Daryoosh Nazarpour |
| author_facet | Sajjad Golshannavaz Daryoosh Nazarpour |
| author_sort | Sajjad Golshannavaz |
| collection | DOAJ |
| description | Recently, along with the depletion of fossil fuels and growing electrical requirements, more attention has been paid on utilizing Renewable Energy Sources (RESs). The Chichest tourism complex is located 20 km far from Orumieh, Iran which has been supplied through the main distribution grid connection. But, recently the trend is to expand the share of RESs in supplying microgrids demand. Hence, this study reports the optimum investment planning for electrical expansion of grid-connected Chichest tourism complex including diesel/wind/PV/battery technologies. For the optimal planning of microgrid, an efficient simply-computational two-stage procedure is proposed. In the first stage, all of the feasible system configurations are determined using NREL’s HOMER software which is a well-known and well-established optimal modeling environment. Subsequently, in the second stage based on Analytical Hierarchy Process (AHP) and simple additive weighting (SAW) method, the best configurations for hybrid system are determined through the Expert Choice software considering economical and environmental criteria. With the aim of providing a comprehensive decision-making capability, a sensitivity analysis is performed considering relative importance of criteria. Simulation results demonstrate that for Chichest coast, the best configuration is grid/diesel/wind hybrid system as it shows a uniform behavior for different cases. |
| first_indexed | 2024-03-13T02:05:36Z |
| format | Article |
| id | doaj.art-c3c974f198aa4202b198a69ee16bd9ab |
| institution | Directory Open Access Journal |
| issn | 2423-5547 2423-7469 |
| language | English |
| last_indexed | 2024-03-13T02:05:36Z |
| publishDate | 2014-12-01 |
| publisher | Materials and Energy Research Center (MERC) |
| record_format | Article |
| series | Journal of Renewable Energy and Environment |
| spelling | doaj.art-c3c974f198aa4202b198a69ee16bd9ab2023-07-01T09:11:30ZengMaterials and Energy Research Center (MERC)Journal of Renewable Energy and Environment2423-55472423-74692014-12-0111435210.30501/jree.2014.7005570055Multi Attribute Investment Planning of a Grid-Connected Diesel/Wind/PV/Battery Hybrid Energy SystemSajjad Golshannavaz0Daryoosh Nazarpour1Department of Electrical and Computer Engineering, Urmia University, Urmia, IranDepartment of Electrical and Computer Engineering, Urmia University, Urmia, IranRecently, along with the depletion of fossil fuels and growing electrical requirements, more attention has been paid on utilizing Renewable Energy Sources (RESs). The Chichest tourism complex is located 20 km far from Orumieh, Iran which has been supplied through the main distribution grid connection. But, recently the trend is to expand the share of RESs in supplying microgrids demand. Hence, this study reports the optimum investment planning for electrical expansion of grid-connected Chichest tourism complex including diesel/wind/PV/battery technologies. For the optimal planning of microgrid, an efficient simply-computational two-stage procedure is proposed. In the first stage, all of the feasible system configurations are determined using NREL’s HOMER software which is a well-known and well-established optimal modeling environment. Subsequently, in the second stage based on Analytical Hierarchy Process (AHP) and simple additive weighting (SAW) method, the best configurations for hybrid system are determined through the Expert Choice software considering economical and environmental criteria. With the aim of providing a comprehensive decision-making capability, a sensitivity analysis is performed considering relative importance of criteria. Simulation results demonstrate that for Chichest coast, the best configuration is grid/diesel/wind hybrid system as it shows a uniform behavior for different cases.https://www.jree.ir/article_70055_4ae4d99123151b53873f055ca547ee2e.pdfmicrogridshybrid energy systemssustainable electricity planninganalytical hierarchyprocesssensitivity analysis |
| spellingShingle | Sajjad Golshannavaz Daryoosh Nazarpour Multi Attribute Investment Planning of a Grid-Connected Diesel/Wind/PV/Battery Hybrid Energy System Journal of Renewable Energy and Environment microgrids hybrid energy systems sustainable electricity planning analytical hierarchy process sensitivity analysis |
| title | Multi Attribute Investment Planning of a Grid-Connected Diesel/Wind/PV/Battery Hybrid Energy System |
| title_full | Multi Attribute Investment Planning of a Grid-Connected Diesel/Wind/PV/Battery Hybrid Energy System |
| title_fullStr | Multi Attribute Investment Planning of a Grid-Connected Diesel/Wind/PV/Battery Hybrid Energy System |
| title_full_unstemmed | Multi Attribute Investment Planning of a Grid-Connected Diesel/Wind/PV/Battery Hybrid Energy System |
| title_short | Multi Attribute Investment Planning of a Grid-Connected Diesel/Wind/PV/Battery Hybrid Energy System |
| title_sort | multi attribute investment planning of a grid connected diesel wind pv battery hybrid energy system |
| topic | microgrids hybrid energy systems sustainable electricity planning analytical hierarchy process sensitivity analysis |
| url | https://www.jree.ir/article_70055_4ae4d99123151b53873f055ca547ee2e.pdf |
| work_keys_str_mv | AT sajjadgolshannavaz multiattributeinvestmentplanningofagridconnecteddieselwindpvbatteryhybridenergysystem AT daryooshnazarpour multiattributeinvestmentplanningofagridconnecteddieselwindpvbatteryhybridenergysystem |