Designers in the energy industry need to consider challenges such as stringent and safety requirements and the wear and tear that many of the structures and their component parts undergo due to severe environmental conditions.

dezineforce tools help designers evaluate the design options available for offshore, renewable and other structures in the energy industry. By allowing the designers to evaluate the options early in the design cycle, dezinefore tools help make the correct fundamental design decisions. For equipment that is deployed in very hostile weather conditions, achieving the correct designs is essential for trouble-free operation.

Oil and Gas

For a subsea piping installation, dezineforce approach was effectively used to reduce installation time and costs, by understanding the design envelope and minimising the number of installation components while meeting stress criteria under performance conditions. 

Other instances where dezineforce approach has helped the design improvement include bending stress analysis for improved pipe connector design and ball-valve investigative analysis to understand ball and seal deformation under increasing pressure.

Power Generation

Equipment and structures necessary for power generation and transmission need to be designed for a variety of loads arising from environmental conditions such as wind, corrosion and earthquakes.

Design search and optimisation techniques can help fully explore the design envelope to gain a better understanding of the severe operating conditions that power generation equipment are subjected to. 

Renewable Energy

Energy generation from renewable sources, such as wind, assume added significance in creating better designs due to the impact on conversion efficiency. As a rapidly emerging field with stiff competition, adoption of best practices in renewable energy can help create winning designs.

dezineforce design search and optimisation tools have been applied to understand impact of wind turbine layout to achieve maximum yield. By studying the number of turbines and their arrangement to maximise a power-cost function, designers were able to achieve  more yield than conventional arrangements.