Fig 5 - uploaded by Witold-Roger Poganietz
Content may be subject to copyright.
Solar and wind power generation vs. hydropower generation by country in GWh. The colors indicate the month of the year.
Source publication
Latin America is one of the regions most vulnerable to the effects of climate variability on hydropower generation. Hydropower is the backbone of the Latin-American power system and a key technology for ensuring low-carbon power generation in the region. Despite its importance, our understanding of the impact and likelihood of seasonal variability...
Context in source publication
Context 1
... analyze the dependence between wind, solar, and hydropower, we performed a bivariate analysis, which is shown in Fig. 5. This graph shows the distributions of hydropower, wind and solar by country, highlighting the months of the year. In all countries, hydropower is negatively correlated to solar-power. Hydropower is also negatively correlated to wind power in Brazil and Mexico, but not in Argentina, where wind power is negatively correlated to solar ...
Similar publications
The annual cycle of precipitation over most parts of Central America and southern Mexico is climatologically characterized by a robust bimodal distribution, normally termed as the midsummer drought (MSD), influencing a large range of agricultural economic and public insurances. Compared to studies focusing on mechanisms underpinning the MSD, less r...
Citations
... Uruguay requires 2 BUB plants, and Paraguay just one BUB plant. South America stands out in EE production due to its hydroelectric potential, and has global potential to develop the production and use industry for biogas and H2V [29]. ...
The linear economy model has caused many impacts associated with increased urban population and municipal solid waste generation worldwide. Through anaerobic digestion, the circular bioeconomy of biomass (methanogenic) provides a fuel (biogas) and an environmentally sustainable biofertilizer. This theoretical-descriptive research proposes a circular economic model based on the design of biorefineries using recycled biomass in urban areas. The model considers a minimum of 1.8 million people to generate approximately 650 tons/day for its application. The biorefinery configuration of the model consists of 12 biodigesters of 5400 m3 unit capacity and a spark ignition engine of 2 MW. The model is validated by employing a case study in the main urban cities of South America. Brazil with about 161,000 m3/day of biogas and 3100 tons/day of biofertilizer, and Paraguay, with 10,000 m3/day of biogas and 500 tons/day of biofertilizer, are the ones with the highest and lowest energy potential, respectively. The internal rate of return on investment in the case study is around 69%. The proposed circular economy model reduces greenhouse gas emissions and environmental impacts of municipal solid waste; Also, the environmental impact was estimated using different equivalence indicators between green electricity energy and carbon footprint avoided.
... However, the energy produced heavily depends on natural factors such as ENSO (El Niño-Southern Oscillation). During ENSO drought, hydroelectric power production can decrease by ≤50% compared with the neutral phases [7]. Wind power has become a popular alternative due to its capacity to produce electricity, its cost-effective maintenance and the long lifespan of turbines [8]. ...
The northernmost region of South America has great potential for wind energy production and is a strategic area for the energy transition. We analysed data from ERA5-Land global reanalysis from 1980 to 2020 to determine the wind power potential in this area. Our aim was to identify areas with a high potential for wind energy that could be used to supply energy in case of drought in the region or increases in fuel prices. We compared data from 19 meteorological stations located in Colombia with ERA5-Land reanalysis data to generate reliable information for the feasibility and operation of wind farms. According to our analysis, the Colombian Caribbean and Coastal Plain have monthly average wind speeds at 90 m ranging from 4.85 to 10.34 m/s and 3.79 to 6.62 m/s, respectively. Based on wind power density calculations, these regions have the highest wind power density in our study, with a monthly average of between 250 and 399 W/m2. The Caribbean Region had a 69% increase in wind power density from January to July compared with the annual average. The wind power density in the plains increased from January to March, while the Mountain Region had higher anomalies from May to October. The Alta Guajira and Paraguaná Peninsula have great potential to generate wind energy due to their privileged geographical location. Although ERA5 offers valuable information about wind availability in time and space, it cannot represent the influence of local effects on wind patterns for the Mountain Region.
... Primary data collection involved field investigations, including hydrological assessments and ecological surveys. Secondary data comprised regulatory documents, environmental impact assessments, and academic literature review (Gonzalez-Salazar M, 2022) [6] . ...
El estudio aborda las problemáticas de las especies invasoras en represas de América Latina y Ecuador. Se examinan las estrategias de control y políticas públicas relacionadas. En esta revisión documental se recopiló información reciente sobre la gestión de proyectos socioambientales para controlar las especies invasoras en Latinoamérica. Se analizaron las tendencias a partir de referencias bibliográficas relevantes obtenidas de las plataformas digitales "SCOPUS" y "Google Scholar". Los criterios de búsqueda fueron: periodo 2019-2023, y la tipología de artículo o revisión. Se analiza el contexto regional del manejo de especies invasoras en embalses, y métodos de monitoreo y evaluación de proyectos, incluyendo indicadores socioambientales pertinentes. Se abordan las problemáticas específicas presentadas y se exploran estrategias de control de especies invasoras, junto con el desarrollo de políticas y regulaciones para la restauración y conservación de embalses. Se destaca la participación de las comunidades. Se plantean reflexiones sobre escenarios futuros en la región. El estudio ofrece una comprensión más profunda de los desafíos y oportunidades asociados con la gestión de especies invasoras en el embalse Poza Honda como caso de estudio, y ofrece perspectivas valiosas para el desarrollo de políticas y estrategias de control efectivas en contextos similares.
This research investigates the relationship between greenhouse gas (GHG) emissions and energy production and consumption patterns in 122 countries over the period from 1990 to 2020. Particular attention is paid to the role of different types of energy, including renewable, hydro and nuclear energy, as well as oil, gas and coal, in shaping GHG emissions. Unlike previous studies, the paper analyzes the full range of energy resources and focuses on different quantiles of data using the quantile-quantile regression (QQR) method. The results of this approach are compared with traditional quantile regression (QR) to assess its validity. Among the findings of this study are: (1) different parts of the energy mix have a heterogeneous impact on GHG emissions in different quantiles; (2) energy consumption patterns play a more significant role in shaping GHG emissions than production patterns; (3) increasing production and consumption of fossil fuels does not necessarily increase GHG emissions; (4) similarly, the development of renewable energy sources is not always accompanied by a reduction in GHG emissions. Our general conclusion is that existing climate policy requires significant diversification to not be focused only on renewable energy, which impact on GHG emissions is not as homogeneous as it usually considered, and which cannot solve the problem of raising emissions solely. Instead of this, it could be more rational to focus on the searching the ways of hydrocarbon industries sustainable development and support them in this journey, especially in the field of Scope 2 and Scope 3 operations management.
OA link: https://authors.elsevier.com/a/1iF2%7E3QCo9j3OC
As we move towards a decarbonized grid, reliance on weather-dependent energy increases as does exposure to prolonged natural resource shortages known as energy droughts. Compound energy droughts occur when two or more predominant renewable energy sources simultaneously are in drought conditions. In this study we present a methodology and dataset for examining compound wind and solar energy droughts as well as the first standardized benchmark of energy droughts across the Continental United States (CONUS) for a 2020 infrastructure. Using a recently developed dataset of simulated hourly plant level generation which includes thousands of wind and solar plants, we examine the frequency, duration, magnitude, and seasonality of energy droughts at a variety of temporal and spatial scales. Results are presented for 15 Balancing Authorities (BAs), regions of the U.S.\ power grid where wind and solar are must-take resources by the power grid and must be balanced. Compound wind and solar droughts are shown to have distinct spatial and temporal patterns across the CONUS. BA-level load is also included in the drought analysis to quantify events where high load is coincident with wind and solar droughts. We find that energy drought characteristics are regional and the longest droughts can last from 16 to 37 continuous hours, and up to 6 days. The longest hourly energy droughts occur in Texas while the longest daily droughts occur in California. Compound energy drought events that include load are more severe on average compared to events that involve only wind and solar. In addition, we find that compound high load events occur more often during compound wind and solar droughts that would be expected due to chance. The insights obtained from these findings and the summarized characteristics of energy drought provide valuable guidance on grid planning and storage sizing at the regional scale.
