Outage Analysis and Maintenance Strategies in Hydroelectric Production
نویسنده
چکیده
The implementation of major equipment within an existing electrical system necessitates a thorough comprehension of environmental policies, integrated planning, and organizational interaction in the sphere of the endeavor. In a hydroelectric energy system integration methodology, there are various optional processes and detailed analysis encountered throughout the execution. The selection of a turbine generator, for example, requires several layers of evaluation to assess the boundaries of the technology within the existing electrical system. Moreover, the decision-makers must understand the effects of the capital project upgrade as well as maintenance program implementations and utilize system thinking throughout the entire process (LaLiberte, 2013). The principle of the system boundary examines the interaction and issues of importance regardless of the organizational demarcation (Senge, 2006). This boundary principle espouses organizational interaction beyond the limiting constraints and requirements of the venture where one solution creates another problem. In a learning organization where advance technology is proposed, key personnel must comprehend the invisible fabrics of interrelated activities. The renewable energy implementation requires overall system observations – from planning of the technology to the plant-in-service phase and beyond (Martino, 2013). The comprehensive management mechanism is designed specifically for organizational sustainability (Figge, 2002). The tool involves several layers and domains to include performance measurement, cost management, environmental quality, and strategic management, to provide an integrated approach to model and evaluate important areas. The overall objective of the maintenance study examined the financial expenditures associated with generation outages. Specifically, these outages were based on the frequency of maintenance within a five-year period. Forced outages as well as the planned outage data were compiled for the evaluation. Ultimately, the focus of the analysis was based on the fundamental aspects of the intentional outages – planned, maintenance, scheduled, and extensions to sustain the integrity of the system. The hydroelectric generator maintenance program, its related costs, and frequency of the maintenance, was the impetus of the evaluation. The key expenditure of the entire process involved the Lost Opportunity Cost created by the forced and planned outages of generating units. It is a singular value utilized to assess the lost generation as it relates to the energy market prices to replace the diminished megawatt-hours (MWh). Moreover, the approach utilized several utility databases to properly assess the value, time-of-day, and operational condition of the hydroelectric generator before it experiences an outage. The evaluation also included a thirty percent reduction in outages for the Larie, Sembola, and Dosi Power Plants in the Mahalia Facility1 electrical footprint. Consequently, the forecast targets of these decreased outage percentages must equate to lower lost MWhrs and hence reduce maintenance costs. Most organizations are faced with a plethora of information with little or no structures to properly manage its key elements. The components generally reflect patterns of vulnerabilities (too much variability) within certain business units of an organization. The utilization of system mechanisms is designed to assist personnel with the visualization of patterns to frame strategic change options (i.e. reduce variability, re-modification of measures, re-creating interaction patterns) to obtain ideas from intricate theory (Axelrod, 2000). When a new technology is proposed, the alternatives are thoroughly vetted and evaluated within the organizational structure. The innate ability of systems thinking is the drive for humans to learn (Hall, 2007). The model to administer and lead change in an organization is difReginald Wilson Skagit Hydroelectric Project, Seattle City Light, USA
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تاریخ انتشار 2017