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.
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In the past, the utility industry could consider itself exempt from market drivers like those listed above. However, today’s utilities are immersed in a sea of change. Customers demand reliable power in unlimited supply, generated in environmentally friendly ways without increased cost. All the while regulators are telling consumers to “change the way they are using energy or be ready to pay more,” and the Department of Energy is calling for utilities to make significant reductions in usage by 2020 .
The nuclear power industry is facing significant employee turnover, which may be exacerbated by the need to staff new nuclear units. To maintain a highly skilled workforce to safely operate U.S. nuclear plants, the industry must find ways to expedite training and qualification, enhance knowledge transfer to the next generation of workers, and develop leadership talent to achieve excellent organizational effectiveness.
In the past, distribution demand reduction was a technique used only in emergency situations a few times a year – if that. It was an all-or-nothing capability that you turned on, and hoped for the best until the emergency was over. Few utilities could measure the effectiveness, let alone the potential of any solutions that were devised.
Change is being forced upon the utilities industry. Business drivers range from stakeholder pressure for greater efficiency to the changing technologies involved in operational energy networks. New technologies such as intelligent networks or smart grids, distribution automation or smart metering are being considered.
The communications network is becoming the key enabler for the evolution of reliable energy supply. However, few utilities today have a communications network that is robust enough to handle and support the exacting demands that energy delivery is now making.
For the last few decades the growth of the world’s population and its corresponding increased demand for electrical energy has created a huge increase in the supply of electrical power. However, for logistical, environmental, political and social reasons, this power generation is rarely near its consumers, necessitating the growth of very large and complex transmission networks. The addition of variable wind energy in remote locations is only exacerbating the situation.
The smart grid is progressing well on several fronts. Groups such as the Grid Wise Alliance, events such as Grid Week, and national policy citations such as the American Recovery and Reinvestment Act in the U.S., for example, have all brought more positive attention to this opportunity. The boom in distributed renewable energy and its demands for a bidirectional grid are driving the need forward, as are sentiments for improving consumer control and awareness, giving customers the ability to engage in real-time energy conservation.
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.
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.