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  1. Article: Investment and risk appraisal in energy storage systems: A real options approach

    Locatelli, Giorgio / Diletta Colette Invernizzi / Mauro Mancini

    Energy. 2016 June 01, v. 104

    2016  

    Abstract: The increasing penetration of variable renewable energy is becoming a key challenge for the management of the electrical grid. Electrical Energy Storage Systems (ESS) are one of the most suitable solutions to increase the flexibility and resilience of ... ...

    Abstract The increasing penetration of variable renewable energy is becoming a key challenge for the management of the electrical grid. Electrical Energy Storage Systems (ESS) are one of the most suitable solutions to increase the flexibility and resilience of the electrical system. This paper presents an innovative methodology for the appraisal of the investment in ESS. The methodology is based on the Real Option Analysis and is able to properly consider investment risks and uncertainties as well as the options available for the investor. The paper assesses the value of the option to wait for a change in the market conditions before investing and re-evaluates the profitability of the investment after each step of the development of the ESS project. In order to exemplify relevant results, this method is applied to the UK energy market and assesses the technical and economic feasibility of investing in ESS operating price arbitrage and Short Term Operating Reserves. The results show that the implementation of the Real Option Analysis increases the economic performance of ESS. Nevertheless, ESS still requires limited incentives to be economically viable.
    Keywords economic feasibility ; economic performance ; economic sustainability ; electric power ; energy ; markets ; prices ; profitability ; renewable energy sources ; risk ; uncertainty ; United Kingdom
    Language English
    Dates of publication 2016-0601
    Size p. 114-131.
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 2019804-8
    ISSN 0360-5442 ; 0360-5442
    ISSN (online) 0360-5442
    ISSN 0360-5442
    DOI 10.1016/j.energy.2016.03.098
    Database NAL-Catalogue (AGRICOLA)

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  2. Article: Assessing the economics of large Energy Storage Plants with an optimisation methodology

    Locatelli, Giorgio / Emanuele Palerma / Mauro Mancini

    Energy. 2015 Apr. 01, v. 83

    2015  

    Abstract: Power plants, such as wind farms, that harvest renewable energy are increasing their share of the energy portfolio in several countries, including the United Kingdom. Their inability to match demand power profiles is stimulating an increasing need for ... ...

    Abstract Power plants, such as wind farms, that harvest renewable energy are increasing their share of the energy portfolio in several countries, including the United Kingdom. Their inability to match demand power profiles is stimulating an increasing need for large ESP (Energy Storage Plants), capable of balancing their instability and shifting power produced during low demand to peak periods. This paper presents and applies an innovative methodology to assess the economics of ESP utilising UK electricity price data, resulting in three key findings. Firstly the paper provides a methodology to assess the trade-off “reserve capacity vs. profitability” and the possibility of establishing the “optimum size capacity”. The optimal reserve size capacity maximizing the NPV (Net Present Value) is smaller than the optimum size capacity minimizing the subsidies. This is not an optimal result since it complicates the incentive scheme to align investors and policy makers' interests. Secondly, without subsidies, none of the existing ESP technologies are economically sustainable. However, subsidies are a relatively small percentage of the average price of electricity in UK. Thirdly, the possibility of operating ESP as both as a reserve and do price arbitrage was identified as a mean of decreasing subsidies for the ESP technologies.
    Keywords economic sustainability ; electricity ; electricity costs ; energy ; issues and policy ; power plants ; prices ; profitability ; renewable energy sources ; subsidies ; wind farms ; United Kingdom
    Language English
    Dates of publication 2015-0401
    Size p. 15-28.
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 2019804-8
    ISSN 0360-5442 ; 0360-5442
    ISSN (online) 0360-5442
    ISSN 0360-5442
    DOI 10.1016/j.energy.2015.01.050
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: Successful recovery from COVID-19 pneumonia after receiving baricitinib, tocilizumab, and remdesivir. A case report

    Pietro Sodani / Luciano Mucci / Rita Girolimetti / Silvia Tedesco / Francesca Monaco / Daniele Campanozzi / Marino Brunori / Stefania Maltoni / Samuele Bedetta / Anna M. Di Carlo / Piero Candoli / Mauro Mancini / Alberto Rebonato / Francesca D'Adamo / Maria Capalbo / Gabriele Frausini

    Respiratory Medicine Case Reports, Vol 31, Iss , Pp 101115- (2020)

    Review of treatments and clinical role of computed tomography analysis

    2020  

    Abstract: The novel coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a pandemic, threatening global public health. In the current paper, we describe our successful treatment of one COVID-19 ... ...

    Abstract The novel coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a pandemic, threatening global public health. In the current paper, we describe our successful treatment of one COVID-19 pneumonia patient case with high mortality risk factors. Our experience underlines the importance of the use of a multidisciplinary therapeutic approach in order to achieve a favorable clinical outcome. Further, enhancing the capability of the COVID-19 diagnosis with the use of the chest imaging modalities is discussed.
    Keywords COVID-19 ; SARS-CoV-2 ; Coronavirus ; Viral pneumonia ; Diseases of the respiratory system ; RC705-779 ; covid19
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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