Complementary Optimization of Hydropower with Pumped Hydro Storage–Photovoltaic Plant for All-Day Peak Electricity Demand in Malawi
Solar energy is currently dispatched ahead of other renewable energy sources. For the first time, this study presents a concept of exploiting temporary–periodical runoff discharge in the Shire River. Pumped hydro storage–photovoltaic plant (PHS–PV) was optimized to satisfy the all-day peak electrici...
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MDPI AG
2021-08-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/16/4948 |
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| author | Evance Chaima Jijian Lian Chao Ma Yusheng Zhang Sheila Kavwenje |
| author_facet | Evance Chaima Jijian Lian Chao Ma Yusheng Zhang Sheila Kavwenje |
| author_sort | Evance Chaima |
| collection | DOAJ |
| description | Solar energy is currently dispatched ahead of other renewable energy sources. For the first time, this study presents a concept of exploiting temporary–periodical runoff discharge in the Shire River. Pumped hydro storage–photovoltaic plant (PHS–PV) was optimized to satisfy the all-day peak electricity demand in Malawi. The effect of varying the net head on the PHS system in both the generation and pumping operation modes was investigated. The bi-objective optimization evaluated the system reliability for day-time and night-time operation together with implied costs of investment for the whole system. The optimized system generated above 53% of added power as contrasted to single-source power generation from the existing hydropower plants. The estimated optimal capacities were 182 MWp (solar PV) and 86 MW (PHS plant). These additional optimal capacities achieved a 99.8% maximum system reliability (Loss of Power Supply Probability—LPSP—of 0.2%) and Levelized Cost of Energy—LCOE—of 0.13 USD/kWh. The overall investment cost of the PHS–PV system was estimated at 671.23 USD for an LPSP of 0.20%. The net head varies from 15.5 to 17.8 m with an impact on electricity generation of the PHS–PV system. More notably, the PHS–PV production matches with daily day-time and night-time peak loads and functions as a peaking plant. |
| first_indexed | 2024-03-10T08:50:19Z |
| format | Article |
| id | doaj.art-0b7856a62da046f8921f48d8c0c42fb8 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T08:50:19Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-0b7856a62da046f8921f48d8c0c42fb82023-11-22T07:29:44ZengMDPI AGEnergies1996-10732021-08-011416494810.3390/en14164948Complementary Optimization of Hydropower with Pumped Hydro Storage–Photovoltaic Plant for All-Day Peak Electricity Demand in MalawiEvance Chaima0Jijian Lian1Chao Ma2Yusheng Zhang3Sheila Kavwenje4State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300350, ChinaState Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300350, ChinaState Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300350, ChinaState Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300350, ChinaSchool of Environmental Engineering, Tianjin University, Tianjin 300350, ChinaSolar energy is currently dispatched ahead of other renewable energy sources. For the first time, this study presents a concept of exploiting temporary–periodical runoff discharge in the Shire River. Pumped hydro storage–photovoltaic plant (PHS–PV) was optimized to satisfy the all-day peak electricity demand in Malawi. The effect of varying the net head on the PHS system in both the generation and pumping operation modes was investigated. The bi-objective optimization evaluated the system reliability for day-time and night-time operation together with implied costs of investment for the whole system. The optimized system generated above 53% of added power as contrasted to single-source power generation from the existing hydropower plants. The estimated optimal capacities were 182 MWp (solar PV) and 86 MW (PHS plant). These additional optimal capacities achieved a 99.8% maximum system reliability (Loss of Power Supply Probability—LPSP—of 0.2%) and Levelized Cost of Energy—LCOE—of 0.13 USD/kWh. The overall investment cost of the PHS–PV system was estimated at 671.23 USD for an LPSP of 0.20%. The net head varies from 15.5 to 17.8 m with an impact on electricity generation of the PHS–PV system. More notably, the PHS–PV production matches with daily day-time and night-time peak loads and functions as a peaking plant.https://www.mdpi.com/1996-1073/14/16/4948optimizationrenewable energy generationphotovoltaicpumped hydro storagepeak electricity demandload satisfaction |
| spellingShingle | Evance Chaima Jijian Lian Chao Ma Yusheng Zhang Sheila Kavwenje Complementary Optimization of Hydropower with Pumped Hydro Storage–Photovoltaic Plant for All-Day Peak Electricity Demand in Malawi Energies optimization renewable energy generation photovoltaic pumped hydro storage peak electricity demand load satisfaction |
| title | Complementary Optimization of Hydropower with Pumped Hydro Storage–Photovoltaic Plant for All-Day Peak Electricity Demand in Malawi |
| title_full | Complementary Optimization of Hydropower with Pumped Hydro Storage–Photovoltaic Plant for All-Day Peak Electricity Demand in Malawi |
| title_fullStr | Complementary Optimization of Hydropower with Pumped Hydro Storage–Photovoltaic Plant for All-Day Peak Electricity Demand in Malawi |
| title_full_unstemmed | Complementary Optimization of Hydropower with Pumped Hydro Storage–Photovoltaic Plant for All-Day Peak Electricity Demand in Malawi |
| title_short | Complementary Optimization of Hydropower with Pumped Hydro Storage–Photovoltaic Plant for All-Day Peak Electricity Demand in Malawi |
| title_sort | complementary optimization of hydropower with pumped hydro storage photovoltaic plant for all day peak electricity demand in malawi |
| topic | optimization renewable energy generation photovoltaic pumped hydro storage peak electricity demand load satisfaction |
| url | https://www.mdpi.com/1996-1073/14/16/4948 |
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