Energy Industry Solutions

The energy industry is in a period of rapid change, as deregulation brings companies into a far more competitive marketplace - placing short-term and long-term profitability at risk. In this new environment, utility executives need to focus on a clear, well-articulated long–term strategy to address the uncertainties of managing diverse generation assets in different geographic locations.

In order to minimize risk of losses in fulfilling commitments, and take advantage of unplanned opportunities, managers at all levels need to have real-time access to relevant “what-if” analyses regarding asset management - to allow both more effective budgeting, and more accurate and dynamic prediction future cost, price, and asset availability.

Clockwork Solutions provides designers and operators of energy plants with decision support tools to maximize the value of their assets and to manage them more cost-effectively. Clockwork Solutions' technology provides professionals in the energy generation industry with answers to such key questions as:

How much energy can we commit to producing over the next five years assuming 8,000 hours of operation per year?
How many forced outages can we expect? How long will it take us to resume energy production?
How will these performance indicators change if we perform planned outages every 15 months? Or every 18 months?
Which components are most likely to cause a forced outage?
How will a proposed predictive maintenance program (such as vibration monitoring) reduce the likelihood of a forced outage?
Should we replace an aging pump at the next outage or not?
What is the value of stocking an additional pump assembly locally at the plant?
What is the risk of reducing a boiler tube inspection frequency?
How will a proposed engineering change affect our ability to meet our energy production contractual obligations?

Understanding Change Impact over Time

Based on the SPAR predictive modeling platform, Clockwork Solutions' energy industry solutions quantify the relationship between plant configuration and equipment age, maintenance policies, and energy production over the life cycle of the plant. The resulting model enables plant managers to see how changes in plant configuration and maintenance policies affect ability to produce energy over time.

Through the valuable insights provided by SPAR-based solutions, plant managers are more effectively:

Reducing Operations and Maintenance costs
Eliminating unnecessary spare part inventories
Increasing plant production capacity
Evaluating the benefits of proposed changes to the plant
Assessing the risk of adopting a new maintenance policy, or the risk of committing to a new performance level.

For more information:

Asset Performance Modeling, SPAR Modeling Platform, SPAROpt – Spare Parts Optimization

Also download the following selected documents from our Information Center:

SPAR Project Briefs – Power Generation and Distribution Market Sector
SPAR Solutions for Electrical Power Generation
Optimizing the Performance of Electric Power Generating Equipment
Combined Cycle Gas Turbine Spares Procurement Optimization
Performance & Reliability Analysis of Wind Turbines
Reliability and Economic Analysis of Different Layouts for Large Thermal Power Stations

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