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portada Power and Gas Asset Management: Regulation, Planning and Operation of Digital Energy Systems
Type
Physical Book
Publisher
Language
English
Pages
149
Format
Hardcover
Dimensions
23.4 x 15.6 x 1.1 cm
Weight
0.41 kg.
ISBN13
9783030361990

Power and Gas Asset Management: Regulation, Planning and Operation of Digital Energy Systems

Miguel Moreira Da Silva (Author) · Springer · Hardcover

Power and Gas Asset Management: Regulation, Planning and Operation of Digital Energy Systems - Moreira Da Silva, Miguel

New Book

£ 165.67

  • Condition: New
Origin: U.S.A. (Import costs included in the price)
It will be shipped from our warehouse between Friday, July 26 and Tuesday, August 13.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.

Synopsis "Power and Gas Asset Management: Regulation, Planning and Operation of Digital Energy Systems"

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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