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Miguel Moreira da Silva (Portugal, 1983) is a senior engineer and professor in energy systems. He holds a Doctor degree in Sustainable Energy Systems from the MIT Portugal program at the Faculty of Engineering, University of Porto (FEUP) and is a chartered Electrical and Computer Engineer (FEUP). In 2013, Moreira da Silva was selected one of the 100 "Future Energy Leaders", by the World Energy Council, and in 2019 has joined the Global Panel of the MIT Technology Review.
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Zustand: New. In. Artikel-Nr. ria9783030361990_new
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers meaningful insights into an impending challenge for the energy industry, namely the increasing role of asset management amongst the utilities' core operations. In the aftermath of energy digitalization, power and gas companies will be able to seize asset productivity-through risk-based operation and maintenance-and better balance capital and operational expenditures.By addressing the asset management of both power and gas infrastructures, and by adopting a comprehensive approach-including regulation and business models, as well as a solid technology background-this book offers a unique perspective on the energy utilities' transformation journey and the road to optimal decision-making for both asset portfolio expansion and replacement. The asset management end-to-end mission requires appropriate internal governance-depending on the business framework-and the development of decision aid models (for asset replacement and maintenance), supported on probabilistic risk and reliability indexes.This book advocates systematically digitalizing the power and gas assets, addressing both data governance and infrastructure, alongside real-time equipment condition monitoring. It also provides a meaningful methodology for designing data-centric asset management and predictive operation and maintenance, using artificial intelligence and engineering-based approaches.As such, it provides valuable strategy, methods and models-illustrated by case studies and proofs of concept-for a wide range of stakeholders, including utilities and industry professionals, regulators, policy-makers, researchers and students. Artikel-Nr. 9783030361990
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Hardcover. Zustand: Brand New. 166 pages. 9.25x6.10x1.50 inches. In Stock. Artikel-Nr. x-3030361993
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