Satellite Data Applications for Sustainable Energy Transitions

Edwards, M. L.; Holloway, Tracey; Pierce, R. Bradley; Blank, Lew; Broddle, Madison; Choi, Eric T.; Duncan, B. N.; Esparza, Ángel E.; Falchetta, Giacomo; Fritz, Meredith; Gibbs, Holly K.; Hundt, Henry; Lark, Tyler J.; Leibrand, Amy; Liu, Fei; Madsen, Becca; Maslak, Tanya; Pandey, Bhartendu; Seto, Karen C.; Stackhouse, Paul W.

doi:10.3389/frsus.2022.910924

Cited by 11 publications

(5 citation statements)

References 205 publications

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“…Yet, large parts of the city are either underrepresented or not represented at all. Interpretation of satellite retrievals has started to fill this gap in understanding regional air quality trends [55][56][57][58]. These feeds are available for PM in the form of aerosol optical depth (AOD) and columnar density for SO 2 , NO 2 , ozone, HCHO, and CO gases from a cluster of satellites operated by NASA and ESA.…”

Section: Satellite Observations and Reanalysismentioning

confidence: 99%

What Is Polluting Delhi’s Air? A Review from 1990 to 2022

Guttikunda

Dammalapati²,

Pradhan³

et al. 2023

Sustainability

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Delhi’s annual average PM2.5 concentration in 2021–22 was 100 μg/m3—20 times more than the WHO guideline of 5 μg/m3. This is an improvement compared to the limited information available for the pre-CNG-conversion era (~30%), immediately before and after 2010 CWG (~28%), and the mid-2010s (~20%). These changes are a result of continuous technical and economic interventions interlaced with judicial engagement in various sectors. Still, Delhi is ranked the most polluted capital city in the world. Delhi’s air quality is a major social and political concern in India, often with questions regarding its severity and primary sources, and despite several studies on the topic, there is limited consensus on source contributions. This paper offers insight by reviewing the influence of Delhi’s urban growth since 1990 on pollution levels and sources and the evolution of technical, institutional, and legal measures to control emissions in the National Capital Region of Delhi.

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Section: Satellite Observations and Reanalysismentioning

confidence: 99%

What Is Polluting Delhi’s Air? A Review from 1990 to 2022

Guttikunda

Dammalapati²,

Pradhan³

et al. 2023

Sustainability

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“…Geological data plays a crucial role in mapping renewable energy resources, enabling informed decisions for sustainable energy planning and development (Edwards, et. al., 2022, Oyegoke, et.…”

Section: Geological Data In Renewable Energy Mappingmentioning

confidence: 99%

Geological data utilization in renewable energy mapping and volcanic region carbon storage feasibility

Oloruntosin Tolulope Joel,

Vincent Ugochukwu Oguanobi

2024

Open Access Res. J. Eng. Technol.

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Geological data plays a crucial role in mapping renewable energy resources and assessing the feasibility of carbon storage in volcanic regions. This review explores the utilization of geological data in these areas, highlighting its significance and implications. Geological data is fundamental in mapping renewable energy resources, such as geothermal and hydroelectric energy. By analyzing geological structures, researchers can identify areas with high potential for these renewable energy sources. This mapping is essential for sustainable energy planning, as it allows policymakers to prioritize regions for renewable energy development based on geological suitability. Additionally, geological data is instrumental in assessing the feasibility of carbon storage in volcanic regions. Volcanic rocks have the potential to store carbon dioxide through mineral carbonation, a process where CO2 reacts with minerals to form stable carbonates. Geological data, including rock composition, porosity, and permeability, is used to evaluate the capacity of volcanic rocks to store carbon dioxide safely and effectively. The utilization of geological data in renewable energy mapping and volcanic region carbon storage feasibility has significant implications for sustainable energy development and climate change mitigation. By mapping renewable energy resources, countries can reduce their dependence on fossil fuels and transition to cleaner, more sustainable energy sources. Furthermore, assessing the feasibility of carbon storage in volcanic regions can help mitigate the impacts of climate change by sequestering CO2 emissions from industrial sources. In conclusion, geological data plays a crucial role in mapping renewable energy resources and assessing the feasibility of carbon storage in volcanic regions. By leveraging geological data, policymakers and researchers can make informed decisions about sustainable energy development and climate change mitigation.

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“…Satellite observation‐derived data products have become widely used in REP assessments and recently also as input to statistical approaches such as machine learning, semi‐empirical, or physics‐based models (e.g., Edwards et al., 2022; Medina‐Lopez et al., 2021). For example, Elsner (2019) provided off‐shore wind energy potential estimates for the African coastal areas by using the satellite‐based Blended Sea Winds data set with spatial resolution of 0.25° and temporal resolution of 6‐hourly.…”

Section: Introductionmentioning

confidence: 99%

Convection‐Permitting ICON‐LAM Simulations for Renewable Energy Potential Estimates Over Southern Africa

Chen,

Poll,

Hendricks Franssen

et al. 2024

JGR Atmospheres

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Renewable energy is recognized in Africa as a means for climate change mitigation, but also to provide access to electricity in sub‐Saharan Africa, where three‐quarters of the global population without electricity resides. Reliable and highly resolved renewable energy potential (REP) information is indispensable to support power plants expansion. Existing atmospheric data sets over Africa that are used for REP estimates are often characterized by data gaps, or coarse resolution. With the aim to overcome these challenges, the ICOsahedral Nonhydrostatic (ICON) Numerical Weather Prediction (ICON‐NWP) model in its Limited Area Mode (ICON‐LAM) is implemented and run over southern Africa in a hindcast dynamical downscaling setup at a convection‐permitting 3.3 km horizontal resolution. The simulation time span covers contrasting solar and wind weather years from 2017 to 2019. To assess the suitability of the novel simulations for REP estimates, the simulated hourly 10 m wind speed (sfcWind) and hourly surface solar irradiance (rsds) are extensively evaluated against a large compilation of in situ observations, satellite, and composite data products. ICON‐LAM reproduces the spatial patterns, temporal evolution, the variability, and absolute values of sfcWind sufficiently well, albeit with a slight overestimation and a mean bias (mean error (ME)) of 1.12 m s−1 over land. Likewise the simulated rsds with an ME of 50 W m−2 well resembles the observations. This new ICON simulation data product will be the basis for ensuing REP estimates that will be compared with existing lower resolution data sets.

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Satellite Data Applications for Sustainable Energy Transitions

Cited by 11 publications

References 205 publications

What Is Polluting Delhi’s Air? A Review from 1990 to 2022

What Is Polluting Delhi’s Air? A Review from 1990 to 2022

Geological data utilization in renewable energy mapping and volcanic region carbon storage feasibility

Convection‐Permitting ICON‐LAM Simulations for Renewable Energy Potential Estimates Over Southern Africa

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