Power and Gas Asset Management (eBook, PDF) - Moreira da Silva, Miguel
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
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.
Moreira da Silva has been working in the energy industry for nearly 15 years, close to board of directors and government officials, and covering all the value chain. For seven years he performed engineering and management roles at REN , where he led the power and gas data and analytics, electricity asset management, and R&D departments. Previously he served as Deputy to the Minister for Environment, at the Government of Portugal, holding the cabinet’s responsibility for drafting and negotiating national policies for sustainable development, energy decarbonization and water sector regulation. Moreira da Silva has also worked in energy technology corporations, namely Itron and Iskraemeco. He is now director for strategic planning and people analytics at the retail subsidiary of Sonae group, and is still member of the jury of REN Scientific Award.
Besides the business experience, for five years Moreira da Silva lectured Power Systems Engineering, at IST – University of Lisbon. He has also been collaborating with INESC-TEC in advance analytics training for energy industry professionals. Within the scope of his research activity, Moreira da Silva has published and presented several works in the fields of energy planning, asset management, energy storage, electric mobility and smart grids.