New Sustainable Energy Findings Has Been Reported by Investigators at Hamad Bin Khalifa University (Computational decision framework for enhancing resilience of the energy, water and food nexus in risky environments) - Insurance News | InsuranceNewsNet

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September 4, 2019 Newswires
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New Sustainable Energy Findings Has Been Reported by Investigators at Hamad Bin Khalifa University (Computational decision framework for enhancing resilience of the energy, water and food nexus in risky environments)

Insurance Daily News

2019 SEP 04 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Fresh data on Sustainability Research - Sustainable Energy are presented in a new report. According to news reporting originating in Doha, Qatar, by NewsRx journalists, research stated, “The energy, water and food (EWF) nexus modelling and analysis frameworks proposed recently have demonstrated their effectiveness in the assessment and quantification of synergies and trade-offs in the interlinkages between the three sectors. They largely rely on static, deterministic or equilibrium-based models that facilitate in making decisions for well-behaved and predictable resource systems over time.”

The news reporters obtained a quote from the research from Hamad Bin Khalifa University, “These frameworks, however, are partly limited in their functionality due to the fact that they do not consider the exposure of systems to the dynamic nature of extrinsic uncertainties and the associated risks in the nexus. Hence, there is a need for a sequential learning, planning and optimal control modelling framework which could help achieve adaptive systems under volatile conditions with the objective to maximise economic output and enhance their operational resilience. In this paper, the authors discuss the development of a novel computational framework which incorporates ‘algorithmic resilience thinking’ to achieve adaptive and robust inter-networked systems. Here, the question of adaptive systems for EWF nexus resilience is posed as a reinforcement learning problem based on sequential decision-making called the Markov decision process (MDP). The authors further discuss a case study, considering weather volatility, its spatial impact on vegetation, and the consequent risks on the water-food nexus for outdoor agricultural operations in the State of Qatar. The application of the developed framework particularly demonstrates promise in providing the functionality to track and mitigate emerging risks that have the potential to cause unprecedented disruption in the operations of integrated natural resource systems.”

According to the news reporters, the research concluded: “The outcome of this study has positive implications for the advancement and effectiveness of EWF nexus planning and risk management to avert resource shortages and price risks, socio-economic disruption, and cascading failures of critical infrastructures, particularly when the global supply chains are subjected to stresses and shocks, such as extreme weather conditions.”

For more information on this research see: Computational decision framework for enhancing resilience of the energy, water and food nexus in risky environments. Renewable and Sustainable Energy Reviews, 2019;112():653-668. Renewable and Sustainable Energy Reviews can be contacted at: Pergamon-Elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England. (Elsevier - www.elsevier.com; Renewable and Sustainable Energy Reviews - http://www.journals.elsevier.com/renewable-and-sustainable-energy-reviews/)

Our news correspondents report that additional information may be obtained by contacting T. Al-Ansari, Hamad Bin Khalifa University, Qatar Foundation, Div Engn Management & Decis Sci, College of Science and Engineering, Doha, Qatar.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.rser.2019.06.015. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

(Our reports deliver fact-based news of research and discoveries from around the world.)

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