Hybrid power generation for increasing water and energy securities during drought: Exploring local and regional effects in a semi-arid basin

Campos, Érica Ferraz de; Pereira, Enio Bueno; Oel, Pieter van; Martins, Fernando Ramos; Gonçalves, André Rodrigues; Costa, Rodrigo Santos

doi:10.1016/j.jenvman.2021.112989

Cited by 18 publications

(8 citation statements)

References 30 publications

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“…Hydropower is the leading source, accounting for about 62% of the mix in 2022 [1]. However, the country is threatened due to climate variability and the rising frequency of drought events [2,3], which increases the share of fossil-based thermal power. For instance, natural gas and oil derivatives reached 12% of the electricity mix during the last drought season in 2022.…”

Section: Mainmentioning

confidence: 99%

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Reducing uncertainties of climate projections on solar energy resources in Brazil

Lima,

Gonçalves,

Costa

et al. 2024

Preprint

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The share of solar energy in Brazil's electrical grid has rapidly increased, reducing GHG emissions and diversifying energy sources for greater energy security. This study is the first to combine satellite and reanalysis data to evaluate Taylor's skill of CMIP6 models in replicating spatial and seasonal patterns of surface solar irradiance (SSR) in Brazil. We used an ensemble with the highest-skill CMIP6 models to assess the climate change factor (CCF) on solar energy up to 2100 under SSP2-4.5 and SSP5-8.5 scenarios. For most of the Brazilian territory, CCF evidences a robust signal that the annual average SSR will increase by 2% to 8% from the next decade to 2100. An exception occurs in the South of Brazil, where the annual CCF decreases by around -3%. PV yield is predicted to steadily increase in five metropolitan regions until 2100, highlighting the need for public policies to support PV distributed generation as a suitable resource to replace fossil fuels and meet the growing energy future demand in urban areas.

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Section: Mainmentioning

confidence: 99%

“…On the other hand, Petrolina is located in the semiarid region close to the largest regional hydropower reservoir, Sobradinho (1050 GW), where floating PV power plants could improve water storage and management during extreme drought periods and meet water demands for other uses besides power generation [2,29].…”

Section: Case Studies For Metropolitan Regionsmentioning

confidence: 99%

Reducing uncertainties of climate projections on solar energy resources in Brazil

Lima,

Gonçalves,

Costa

et al. 2024

Preprint

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show abstract

“…Brazil has a vast solar energy resource [1][2][3] and has experienced a boost in photovoltaic deployment in recent years due to government incentives and technological advances [4,5]. Several studies have shown that solar energy, as part of the diversification of the renewable energy mix, could be decisive to increase energy security, counter-balancing the vulnerability imposed by the high dependency on the hydro-power [6][7][8][9]. In particular, concentrating solar power (CSP) technologies have shown a noteworthy potential for Brazil in scenarios of climate change mitigation ( [10][11][12][13]), especially as a complementary heat supply for industrial processes or hybrid power generation [14,15].…”

Section: Introductionmentioning

confidence: 99%

Numerical Assessment of Downward Incoming Solar Irradiance in Smoke Influenced Regions—A Case Study in Brazilian Amazon and Cerrado

et al. 2021

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Smoke aerosol plumes generated during the biomass burning season in Brazil suffer long-range transport, resulting in large aerosol optical depths over an extensive domain. As a consequence, downward surface solar irradiance, and in particular the direct component, can be significantly reduced. Accurate solar energy assessments considering the radiative contribution of biomass burning aerosols are required to support Brazil’s solar power sector. This work presents the 2nd generation of the radiative transfer model BRASIL-SR, developed to improve the aerosol representation and reduce the uncertainties in surface solar irradiance estimates in cloudless hazy conditions and clean conditions. Two numerical experiments allowed to assess the model’s skill using observational or regional MERRA-2 reanalysis AOD data in a region frequently affected by smoke. Four ground measurement sites provided data for the model output validation. Results for DNI obtained using δ-Eddington scaling and without scaling are compared, with the latter presenting the best skill in all sites and for both experiments. An increase in the relative error of DNI results obtained with δ-Eddington optical depth scaling as AOD increases is evidenced. For DNI, MBD deviations ranged from −2.3 to −0.5%, RMSD between 2.3 and 4.7% and OVER between 0 and 5.3% when using in-situ AOD data. Overall, our results indicate a good skill of BRASIL-SR for the estimation of both GHI and DNI.

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“…The proposed system includes an array of parabolic trough collectors with shortterm thermal storage, an array of solar photovoltaic modules, an electrolyzer bank, compressed hydrogen storage, and a proton exchange membrane fuel cell stack to satisfy the thermal and electrical demands of a standalone multi-commodity cold storage. De Campos et al (2021) assessed the influence of adding floating photovoltaic power in the large-scale reservoir of hydropower plants of Sobradinho, located in the Sao Francisco River, in Brazil, from 2009 to 2018. The simulated scenarios varied the installed PV power capacity from 50 to 1000 MW.…”

Section: Introductionmentioning

confidence: 99%

Study and Optimization of a Hybrid Power Generation System to Power Kalakala, a Remote Locality in Northern Côte d'Ivoire

Koffi

Sako

Koua

et al. 2021

Int. J. Renew. Energy Dev.

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This work presents the results of a study to optimize the production of electricity, by hybrid system Photovoltaic – Diesel – Batteries, to power the village of Kalakala in the north of Côte d'Ivoire. The study site is an isolated rural community, powered by a diesel generator. It is located in northern Côte d'Ivoire. HOMER software has been used for system simulation and optimization. The result of this study is then compared to those of PV - Batteries and diesel alone systems. From the results of the simulations, it appears that the optimal combination of the hybrid system includes a diesel generator of 50 kW, a photovoltaic field of 46 kW, 10 batteries of 48V and a converter of 100 kW. With a photovoltaic penetration rate of 52.7%, this system, compared to the photovoltaic - batteries system, reduces the photovoltaic field by 56%, the number of batteries by 61.5% and increases battery life by 42.84%. Compared to diesel alone, it reduces fuel consumption and the quantity of CO2 by 60% and improves diesel efficiency by 17%. The cost of generating electricity for the hybrid system is €0.373/kWh compared to €0.466 and €0.608/kWh respectively, for the PV-Batteries and diesel alone systems. The hybrid system with the best technical, economic and environmental performance could be a good alternative for generating electricity in remote communities.

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Hybrid power generation for increasing water and energy securities during drought: Exploring local and regional effects in a semi-arid basin

Cited by 18 publications

References 30 publications

Reducing uncertainties of climate projections on solar energy resources in Brazil

Reducing uncertainties of climate projections on solar energy resources in Brazil

Numerical Assessment of Downward Incoming Solar Irradiance in Smoke Influenced Regions—A Case Study in Brazilian Amazon and Cerrado

Study and Optimization of a Hybrid Power Generation System to Power Kalakala, a Remote Locality in Northern Côte d'Ivoire

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