Wind energy potential analysis using Sentinel-1 satellite: A review and a case study on Mediterranean islands

Nezhad, Meysam Majidi; Groppi, Daniele; Marzialetti, Pablo; Fusilli, Lorenzo; Laneve, Giovanni; Cumo, Fabrizio; Garcia, Davide Astiaso

doi:10.1016/j.rser.2019.04.059

Cited by 46 publications

(14 citation statements)

References 72 publications

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“…Although warmer climates may slow the spread of SARS-CoV-2, relying on weather changes alone to slow the transmission of COVID-19 are unlikely to be enough. However, using this type of dataset and climate analysis modeling is possible to identify areas that are most likely to be at risk of significant COVID-19 cases in the future and serve as an alarm signal to various government departments and agencies to adopt the necessary measures to prevent virus spread [104]. Moreover, more data are gathering around the world due to the change of the season and all authors agree that the association between temperature/humidity and SARS-CoV-2 is an appreciable hypothesis, but not a certainty yet.…”

Section: Citymentioning

confidence: 99%

“…Moreover, more data are gathering around the world due to the change of the season and all authors agree that the association between temperature/humidity and SARS-CoV-2 is an appreciable hypothesis, but not a certainty yet. 19 cases in the future and serve as an alarm signal to various government departments and agencies to adopt the necessary measures to prevent virus spread [104]. Moreover, more data are gathering around the world due to the change of the season and all authors agree that the association between temperature/humidity and SARS-CoV-2 is an appreciable hypothesis, but not a certainty yet.…”

Section: Citymentioning

confidence: 99%

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The Global Emergency of Novel Coronavirus (SARS-CoV-2): An Update of the Current Status and Forecasting

Hozhabri

Piceci‐Sparascio

Sohrabi

et al. 2020

IJERPH

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Over the past two decades, there have been two major outbreaks where the crossover of animal Betacoronaviruses to humans has resulted in severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV). In December 2019, a global public health concern started with the emergence of a new strain of coronavirus (SARS-CoV-2 or 2019 novel coronavirus, 2019-nCoV) which has rapidly spread all over the world from its origin in Wuhan, China. SARS-CoV-2 belongs to the Betacoronavirus genus, which includes human SARS-CoV, MERS and two other human coronaviruses (HCoVs), HCoV-OC43 and HCoV-HKU1. The fatality rate of SARS-CoV-2 is lower than the two previous coronavirus epidemics, but it is faster spreading and the large number of infected people with severe viral pneumonia and respiratory illness, showed SARS-CoV-2 to be highly contagious. Based on the current published evidence, herein we summarize the origin, genetics, epidemiology, clinical manifestations, preventions, diagnosis and up to date treatments of SARS-CoV-2 infections in comparison with those caused by SARS-CoV and MERS-CoV. Moreover, the possible impact of weather conditions on the transmission of SARS-CoV-2 is also discussed. Therefore, the aim of the present review is to reconsider the two previous pandemics and provide a reference for future studies as well as therapeutic approaches.

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Section: Citymentioning

confidence: 99%

Section: Citymentioning

confidence: 99%

The Global Emergency of Novel Coronavirus (SARS-CoV-2): An Update of the Current Status and Forecasting

Hozhabri

Piceci‐Sparascio

Sohrabi

et al. 2020

IJERPH

View full text Add to dashboard Cite

show abstract

“…A geographical subdivision based on homogeneous energy characteristics was carried out in many energy planning researches on specific areas [38], usually recalling administrative boundaries at the regional [39] or municipal level [40]. This change of scales did show pros and cons carefully considered by the authors.…”

Section: Methodsmentioning

confidence: 99%

Solar Energy Data Analytics: PV Deployment and Land Use

Mancini

Nastasi

2020

Energies

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EU targets for sustainable development call for strong changes in the current energy systems as well as committed protection of environmental resources. This target conflicts if a policy is not going to promote the compatible solutions to both the issues. This is the case of the additional renewable energy sources to be exploited for increasing the share in the electricity mix and in the gross final energy consumption. Solar energy is, currently, the cheapest solution in Southern European Countries, like Italy. In this paper, thanks to the availability of three open databases provided by National Institutions, the authors compared the historic trends and policy scenarios for soil consumption, electricity consumption, and renewable electricity production to check correlations. The provincial scale was chosen as resolution of the analysis. The deviations from the policy scenarios was then addressed to identify the demand for policy recommendations and pathways to promote in order to achieve the target for renewable electricity share as well as the reduction in soli consumption trend in 2030. The role of renewables integrated in the existing contexts, such as building integrated photovoltaics, is considered a key driver for solving this issue.

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“…Copernicus is the European Union (EU) EO and monitoring program, which looks to our planet and its environment for the ultimate benefit of all European citizens. It aims at providing accurate and easily accessible data to improve environment management and understanding of climate change effects [22]. Copernicus primarily draws on data collected from EO satellites, but it also depends on a large amount of information gathered in situ (meaning on-site or local) measurement systems made available by the Member States of the EU to the programme.…”

Section: Sdg Topic Actual or Possible Contribution Of Spacementioning

confidence: 99%

The Role of Earth Observation Satellites in Maximizing Renewable Energy Production: Case Studies Analysis for Renewable Power Plants

Argentiero

Falcone

2020

Sustainability

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This paper is based on a novel approach towards clean energy production, i.e., space innovative applications toward sustainable development. Specifically, the role of Earth observation (EO) satellites in maximizing renewable energy production is considered to show the enormous potential in exploiting sustainable energy generation plants when the Earth is mapped by satellites to provide some peculiar parameters (e.g., solar irradiance, wind speed, precipitation, climate conditions, geothermal data). In this framework, RETScreen clean energy management software can be used for numerical analysis, such as energy generation and efficiency, prices, emission reductions, financial viability and hazard of various types of renewable-energy and energy-efficient technologies (RETs), based on a large database of satellite parameters. This simplifies initial assessments and provides streamlined processes that enable funders, architects, designers, regulators, etc. to make decisions on future clean energy initiatives. After describing the logic of life cycle analysis of RETScreen, two case studies (Mexicali and Toronto) on multiple technologies power plant are analyzed. The different results obtained, when projecting the two scenarios, showed how the software could be useful in the pre-feasibility phase to discriminate the type of installation not efficient for the selected location or not convenient in terms of internal rate of return (IRR) on equity.

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Wind energy potential analysis using Sentinel-1 satellite: A review and a case study on Mediterranean islands

Cited by 46 publications

References 72 publications

The Global Emergency of Novel Coronavirus (SARS-CoV-2): An Update of the Current Status and Forecasting

The Global Emergency of Novel Coronavirus (SARS-CoV-2): An Update of the Current Status and Forecasting

Solar Energy Data Analytics: PV Deployment and Land Use

The Role of Earth Observation Satellites in Maximizing Renewable Energy Production: Case Studies Analysis for Renewable Power Plants

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