10.1007/s40095-022-00484-7

A compendious approach for renewable energy assessment based on satellite and ground truth data: Bilate catchment, Rift Valley Basin, Ethiopia

  1. Water Technology Institute, Arba Minch University, Arba Minch, ET

Published in Issue 2022-03-04

How to Cite

Ayana, M. T., Mada, Z. M., Hatiye, S. D., & Mohammed, A. K. (2022). A compendious approach for renewable energy assessment based on satellite and ground truth data: Bilate catchment, Rift Valley Basin, Ethiopia. International Journal of Energy and Environmental Engineering, 13(3 (September 2022). https://doi.org/10.1007/s40095-022-00484-7

Abstract

Abstract Energy sources generated from different modes other than the conventional types have become more demanding in combating climate change issues that the world has been facing today. To cater the need for electricity in countries of Africa like Ethiopia can be initiated by such modern practices. The hydro, wind, and solar power output of Bilate in the Central Rift Valley Basin was estimated envisaging satellite information and Hybrid Optimization Model for Electrical Renewable (HOMER). Three off-grid sites located in the central part of the catchment namely Shashego, Weira, and Siraro were considered in this study. The demographic and hydro-meteorological data of the selected sites were collected from various sources and ERA5 climate variables have been utilized at their optimum level to find a better and more accurate solution. Power transformation and variance scaling techniques were applied to correct biases in precipitation and temperature, respectively. Due to rarely available hydrological gauge stations in the catchment, there has been difficult to analyze the data of the stream flows at the sites and hence HBV-IHMS model was used during the study to find an amicable solution for the compliance. The performance of the model was checked before the use and resulted in NSE above 80% in replicating the observed hydrograph. The total power output of the best feasible hybrid system at Shashego, Weira and Siraro site is calculated as 26240 kW, 51298 kW and 46245 kW per annum, respectively. Except in Shashego, the configuration of hybrid systems in Weira and Siraro were technically and economically viable. The system was iteratively reconfigured to check the percent of the load demand of the Shashego site that could have been fulfilled with minimal LCOE but unpredictably it was found that only 50% of the load can be provided without any impairment. The LCOE of hydro is comparably very low in all the sites through the energy output from the scheme was inadequate to accomplish the required demand of the community.

Keywords

  • Bilate catchment,
  • ERA5 satellite products,
  • HOMER,
  • LCOE,
  • Renewable energy

References

  1. Česonienė et al. (2021) Assessment of the impact of small hydropower plants on the ecological status indicators of water bodies: a case study in Lithuania https://doi.org/10.3390/w13040433
  2. Gielen et al. (2019) The role of renewable energy in the global energy transformation (pp. 38-50) https://doi.org/10.1016/j.esr.2019.01.006
  3. SDG7. Ensure access to affordable, reliable, sustainable and modern energy. Sustainable Energy Development Goals (2021). A report by United Nations.
  4. https://sdgs.un.org/goals/goal7
  5. . Accessed 25 Apr 2021
  6. IEA.: Africa Energy Outlook 2019. International Energy Agency, Special Report.
  7. www.iea.org/africa2019
  8. (2019). Accessed 20 Nov 2021
  9. Garba and Bellingham (2021) Energy poverty: estimating the impact of solid cooking fuels on GDP per capita in developing countries-Case of sub-Saharan Africa https://doi.org/10.1016/j.energy.2021.119770
  10. Anika.: Deforestation and climate change. A report by World Climate Council.
  11. https://www.climatecouncil.org.au/deforestation/
  12. . (2019). Accessed 12 July 2021
  13. Lawrence and Vandecar (2015) Effects of tropical deforestation on climate and agriculture (pp. 27-36) https://doi.org/10.1038/nclimate2430
  14. Kumar et al. (2020) Social, economic, and environmental impacts of renewable energy resources Intech Open https://doi.org/10.5772/intechopen.89494
  15. Eshra et al. (2021) Assessment of mini and micro hydropower potential in Egypt: multi-criteria analysis (pp. 81-94) https://doi.org/10.1016/j.egyr.2020.11.165
  16. Quan and Leephakpreeda (2015) Assessment of wind energy potential for selecting wind turbines: an application to Thailand (pp. 17-26) https://doi.org/10.1016/j.seta.2015.05.002
  17. Faiz et al. (2021) Modeling and analysis of 3 MW solar photovoltaic plant using PVSyst at Islamia University of Bahawalpur, Pakistan https://doi.org/10.1155/2021/6673448
  18. Panwar et al. (2011) Role of renewable energy sources in environmental protection: a review 15(3) (pp. 1513-1524) https://doi.org/10.1016/j.rser.2010.11.037
  19. Abanda (2012) Renewable energy sources in Cameroon: potentials, benefits and enabling environment 16(7) (pp. 4557-4562) https://doi.org/10.1016/j.rser.2012.04.011
  20. Omer (2008) Energy, environment and sustainable development 12(9) (pp. 2265-2300) https://doi.org/10.1016/j.rser.2007.05.001
  21. JICA.: JICA’s support in African energy development.
  22. https://www.jica.go.jp/information/seminar/2018/ku57pq00002jdu78-att/20190214_01_03.pdf
  23. (2019). Accessed 21 Dec 2020
  24. Fentie and Beyene (2019) Climate-smart agricultural practices and welfare of rural smallholders in Ethiopia: does planting method matter? (pp. 387-396) https://doi.org/10.1016/j.landusepol.2019.04.020
  25. Mishra et al. (2020) Assessment of solar power potential in a hill state of India using remote sensing and geographic information system https://doi.org/10.1016/j.rsase.2020.100370
  26. Asfaw et al. (2019) Determinants in the adoption of climate change adaptation strategies: evidence from rainfed-dependent smallholder farmers in north-central Ethiopia (Woleka sub-basin) (pp. 2535-2565) https://doi.org/10.1007/s10668-018-0150-y
  27. Ram et al. (2021) Energy perspectives in IoT driven smart villages and smart cities 10(3) (pp. 19-28) https://doi.org/10.1109/MCE.2020.3023293
  28. Gašparović and Gašparović (2019) Determining optimal solar power plant locations based on remote sensing and gis methods: a case study from Croatia 11(12) https://doi.org/10.3390/rs11121481
  29. Calaudi et al. (2016) Using remote sensing data for integrating different renewable energy sources at coastal site in South Italy (pp. 172-178) https://doi.org/10.1016/j.egypro.2016.10.046
  30. Dawood et al. (2017) Visualising urban energy use: the use of LiDAR and remote sensing data in urban energy planning https://doi.org/10.1186/s40327-017-0060-3
  31. José et al. (2020) Expected changes in the demand for electrical energy in buildings due to climate change and its economic impact: Madrid case study https://doi.org/10.1088/1755-1315/544/1/012014
  32. Avtar et al. (2019) Exploring renewable energy resources using remote sensing and GIS—a review https://doi.org/10.3390/resources8030149
  33. Gottschall and Dörenkämper (2021) Understanding and mitigating the impact of data gaps on offshore wind resource estimates (pp. 505-520) https://doi.org/10.5194/wes-6-505-2021
  34. Bender and Sentelhas (2018) Solar radiation models and gridded databases to fill gaps in weather series and to project climate change in Brazil https://doi.org/10.1155/2018/6204382
  35. Yang and Maogui (2018) Filling the missing data gaps of daily MODIS AOD using spatiotemporal interpolation (pp. 677-683) https://doi.org/10.1016/j.scitotenv.2018.03.202
  36. Nefabas et al. (2021) Modeling of Ethiopian wind power production using ERA5 reanalysis data 14(9) https://doi.org/10.3390/en14092573
  37. Giovanni (2021) Reliability of ERA5 reanalysis data for wind resource assessment: a comparison against tall towers 14(14) https://doi.org/10.3390/en14144169
  38. Olauson (2018) ERA5: the new champion of wind power modelling? (pp. 322-331) https://doi.org/10.1016/j.renene.2018.03.056
  39. Abdulhameed et al. (2020) Measurement and verification analysis on the energy performance of a retrofit residential building after energy efficiency measures using RETScreen Expert 59(6) (pp. 4643-4657) https://doi.org/10.1016/j.aej.2020.08.022
  40. Sinha and Chandel (2014) Review of software tools for hybrid renewable energy systems (pp. 192-205) https://doi.org/10.1016/j.rser.2014.01.035
  41. Getie (2020) Poverty of energy and its impact on living standards in Ethiopia https://doi.org/10.1155/2020/7502583
  42. Girma (2014) Technical and economic assessment of solar PV/diesel hybrid power system for rural school electrification in Ethiopia 3(3) (pp. 735-744) https://doi.org/10.20508/ijrer.v3i3.819.g6199
  43. Kiflom Gebrehiwot et al. (2019) Optimization and cost-benefit assessment of hybrid power systems for off-grid rural electrification in Ethiopia (pp. 234-246) https://doi.org/10.1016/j.energy.2019.04.095
  44. Goel and Sharma (2017) Performance evaluation of stand alone, grid connected and hybrid renewable energy systems for rural application: a comparative review (pp. 1378-1389) https://doi.org/10.1016/j.rser.2017.05.200
  45. Izadyar et al. (2016) Resource assessment of the renewable energy potential for a remote area: a review (pp. 908-923) https://doi.org/10.1016/j.rser.2016.05.005
  46. Khan et al. (2015) Optimal combination of solar, wind, micro-hydro and diesel systems based on actual seasonal load profiles for a resort island in the South China Sea (pp. 80-97) https://doi.org/10.1016/j.energy.2014.12.072
  47. Bekele and Tadesse (2012) Feasibility study of small hydro/PV/wind hybrid system for off-grid rural electrification in Ethiopia (pp. 5-15) https://doi.org/10.1016/j.apenergy.2011.11.059
  48. Nannawo et al. (2021) Exemplifying the effects using WetSpass model depicting the landscape modifications on long-term surface and subsurface hydrological water balance in Bilate Basin, Ethiopia https://doi.org/10.1155/2021/7283002
  49. Getahun et al. (2016) Temporal and spatial variability of rainfall distribution and evapotranspiration across altitudinal gradient in the Bilate River Watershed, Southern Ethiopia 10(6) (pp. 167-180) https://doi.org/10.5897/AJEST2015.2029
  50. CSA.; Population projections for Ethiopia 2007–2037. Central Statistical Agency (CSA) of Ethiopia, Annual Report (2013).
  51. https://www.statsethiopia.gov.et/wp-content/uploads/2019/05/ICPS-Population-Projection-2007-2037-produced-in-2012.pdf
  52. . Accessed 12 June 2021
  53. Yozgatligil et al. (2013) Comparison of missing value imputation methods in time series: the case of Turkish meteorological data (pp. 143-167) https://doi.org/10.1007/s00704-012-0723-x
  54. Aly, A., Pathak, C., Teegavarapu, R., Ahlquist, J., Fuelberg, H.: Evaluation of improvised spatial interpolation methods for infilling missing precipitation records. In: World environmental and water resources congress (2009)
  55. Miao et al. (2016) A nonstationary bias-correction technique to remove bias in GCM simulations (pp. 5718-5735) https://doi.org/10.1002/2015JD024159
  56. Durai and Bhradwaj (2014) Evaluation of statistical bias correction methods for numerical weather prediction model forecasts of maximum and minimum temperatures (pp. 1229-1254) https://doi.org/10.1007/s11069-014-1136-1
  57. Luo et al. (2018) Comparing bias correction methods used in downscaling precipitation and temperature from regional climate models: a case study from the Kaidu River Basin in Western China https://doi.org/10.3390/w10081046
  58. HBV-IHMS manual.: Integrated hydrological modelling system manual version 5.10 (2012).
  59. https://www.academia.edu/7580397/IHMS_Integrated_Hydrological_Modelling_System
  60. . Accessed 21 Feb 2021
  61. Asnake et al. (2020) Transformation of climate and its sway on hydro-climatology using representative concentration pathways (RCP) in Geba catchment of Ethiopia https://doi.org/10.1007/s40808-020-01029-9
  62. Sachin Mishra and Singal (2011) Optimal installation of small hydropower plant—a review 15(8) (pp. 3862-3869) https://doi.org/10.1016/j.rser.2011.07.008
  63. Sachdev et al. (2015) Analysis and evaluation of small hydropower plants: a bibliographical survey (pp. 1013-1022) https://doi.org/10.1016/j.rser.2015.06.065
  64. Bezie, Y.M.: Feasibility study of small hydropower/PV/wind hybrid system for off-grid electrification of liben and medawoulabu villages (Dissertation) (2017).
  65. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-23841
  66. . Accessed 2 July 2021
  67. Mostafaeipour et al. (2020) Techno-economic assessment of using wind power system for tribal region of Gachsaran in Iran 18(2) (pp. 293-307) https://doi.org/10.1108/JEDT-05-2019-0132
  68. Shahzad et al. (2017) Techno-economic feasibility analysis of a solar-biomass off grid system for the electrification of remote rural areas in Pakistan using HOMER software (pp. 264-273) https://doi.org/10.1016/j.renene.2017.01.033
  69. Jordehi (2016) Parameter estimation of solar photovoltaic (PV) cells: a review (pp. 354-371) https://doi.org/10.1016/j.rser.2016.03.049
  70. Das et al. (2021) Feasibility and techno-economic analysis of stand-alone and grid-connected PV/Wind/Diesel/Batt hybrid energy system: a case study https://doi.org/10.1016/j.esr.2021.100673
  71. Jahangir et al. (2020) Feasibility study of on/off grid large-scale PV/WT/WEC hybrid energy system in coastal cities: a case-based research (pp. 2075-2095) https://doi.org/10.1016/j.renene.2020.09.131
  72. Mandal et al. (2018) Optimum sizing of a stand-alone hybrid energy system for rural electrification in Bangladesh (pp. 12-27) https://doi.org/10.1016/j.jclepro.2018.07.257
  73. Frank et al. (2018) Bias correction of a novel European reanalysis data set for solar energy applications (pp. 12-24) https://doi.org/10.1016/j.solener.2018.02.012
  74. Habib et al. (2014) Effect of bias correction of satellite-rainfall estimates on runoff simulations at the source of the Upper Blue Nile 6(7) (pp. 6688-6708) https://doi.org/10.3390/rs6076688
  75. Shea and Ramgolam (2018) Applied levelized cost of electricity for energy technologies in a small island developing state: a case study in Mauritius https://doi.org/10.1016/j.renene.2018.09.021
  76. Lai and McCulloch (2017) Levelized cost of electricity for solar photovoltaic and electrical energy storage (pp. 191-203) https://doi.org/10.1016/j.apenergy.2016.12.15
  77. Kaya et al. (2019) A levelized cost analysis for solar-energy-powered sea water desalination in The Emirate of Abu Dhabi 11(6) https://doi.org/10.3390/su11061691
  78. Gürtürk (2019) Economic feasibility of solar power plants based on PV module with levelized cost analysis (pp. 866-878) https://doi.org/10.1016/j.energy.2019.01.090
  79. Hailu and Kumsa (2020) Ethiopia renewable energy potentials and current state 9(1) (pp. 1-14) https://doi.org/10.3934/ENERGY.2021001
  80. Beza et al. (2021) Optimal sizing and techno-economic analysis of minigrid hybrid renewable energy system for tourist destination islands of Lake Tana, Ethiopia 11(15) https://doi.org/10.3390/app11157085
  81. Bilal et al. (2015) Multi-objective optimization of hybrid PV/wind/diesel/battery systems for decentralized application by minimizing the levelized cost of energy and the CO2 emissions 10(5) (pp. 192-203) https://doi.org/10.5897/IJPS2014.4251