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Power and gas asset managementregula...
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Moreira da Silva, Miguel.
Power and gas asset managementregulation, planning and operation of digital energy systems /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Power and gas asset managementby Miguel Moreira da Silva.
Reminder of title:
regulation, planning and operation of digital energy systems /
Author:
Moreira da Silva, Miguel.
Published:
Cham :Springer International Publishing :2020.
Description:
xvii, 149 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Electric power systemsManagement.
Online resource:
https://doi.org/10.1007/978-3-030-36200-3
ISBN:
9783030362003$q(electronic bk.)
Power and gas asset managementregulation, planning and operation of digital energy systems /
Moreira da Silva, Miguel.
Power and gas asset management
regulation, planning and operation of digital energy systems /[electronic resource] :by Miguel Moreira da Silva. - Cham :Springer International Publishing :2020. - xvii, 149 p. :ill., digital ;24 cm. - Lecture notes in energy,v.722195-1284 ;. - Lecture notes in energy ;13..
Introduction -- Technology of Power and Gas Systems -- Regulation and Business Models -- Digitalization of Energy Systems -- Asset Management Transformation -- Investment Planning and Maintenance Strategy -- Conclusions.
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.
ISBN: 9783030362003$q(electronic bk.)
Standard No.: 10.1007/978-3-030-36200-3doiSubjects--Topical Terms:
453994
Electric power systems
--Management.
LC Class. No.: TK1005 / .M674 2020
Dewey Class. No.: 621.31
Power and gas asset managementregulation, planning and operation of digital energy systems /
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Introduction -- Technology of Power and Gas Systems -- Regulation and Business Models -- Digitalization of Energy Systems -- Asset Management Transformation -- Investment Planning and Maintenance Strategy -- Conclusions.
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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.
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000000181586
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EB TK1005 .M838 2020 2020
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https://doi.org/10.1007/978-3-030-36200-3
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