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November 8, 2012
August 1, 2009
Persistent climate change concerns, volatile energy prices and a growing awareness of technological advancement in energy are leading consumers across the globe to reconsider their role in the electric power value chain. Likewise, substantial increases in utility infrastructure investment are likely due to global demands for climate change mitigation; the need to support aging networks and generation plants; and proliferation of government stimulus plans for weakened economies.
For more than 30 years, Newton- Evans Research Company has been studying the initial development and the embryonic and emergent stages of what the world now collectively terms the smart, or intelligent, grid. In so doing, our team has examined the technology behind the smart grid, the adoption and utilization rates of this technology bundle and the related market segments for more than a dozen or so major components of today’s – and tomorrow’s – intelligent grid.
Every year, utilities are faced with
the critical decision of where to
invest capital. These decisions are
guided by several factors, such as regulatory
requirements, market conditions and
business strategies. Given their magnitude,
decisions are not made hastily. Careful
consideration is given to the financial
and operational prudence of large capital
projects, such as power plants and new
The U.S. utility industry – particularly the electric-producing branch of it, there also are natural gas and water utilities – has found itself in a new, and very uncomfortable, position. Throughout the first quarter of 2009 it was front and center in the political arena.
Smart or advanced electricity metering, using a fixed network communications path, has been with us since pioneering installations in the US Midwest in the mid-1980s. That’s 25 years ago, during which time we have seen incredible advancements in information and communication technologies.
Today’s utility companies are being driven to upgrade their aging transmission and distribution networks in the face of escalating energy generation costs, serious environmental challenges and rising demand for cleaner, distributed generation from both developing and digital economies worldwide.
The software industry has been using maturity models to define and measure software development capabilities for decades. These models have helped the industry create a shared vision for these capabilities. They also have driven individual software development organizations to set and pursue aggressive capabilities goals while allowing these groups to measure progress in reaching those objectives along the way.
Intelligent Plant Lifecycle Management
(iPLM) is the process of managing a
generation facility’s data and information
throughout its lifetime – from initial
design through to decommissioning. This
paper will look at results from the application
of this process in other industries
such as shipbuilding, and show how those
results are directly applicable to the
design, construction, operation and maintenance
of complex power generation
facilities, specifically nuclear and clean