Sweco, Europe’s leading architecture and engineering consultancy, needed a more consistent and scalable approach to cost estimation across its Industry and Energy Division in Finland.

Process simulation tools—such as steady-state and dynamic modeling platforms—provide value far beyond traditional design and analysis. When simulation models are connected to a broader digital engineering environment, validated process data can be seamlessly reused across disciplines, supporting integrated and efficient project execution.

En un momento en el que las industrias se ven sometidas a una presión cada vez mayor para impulsar la eficiencia, reducir las emisiones y adaptarse a unas demandas que cambian rápidamente, AspenTech V15 se ha diseñado específicamente para afrontar estos retos críticos.

Aspen OptiPlant 3D Layout transforms early-stage engineering by enabling rapid conceptual 3D modeling, helping you visualize, validate and optimize plant layouts faster than ever.

Process simulation, cost estimation and 3D models are crucial to engineering projects, leading to better, more accurate designs. Now imagine seamlessly integrating these disciplines into one concurrent workflow for real-time collaboration that dramatically saves time and reduces costs.

Optimizing chemical processes requires input from multiple disciplines – engineering, costing, safety and environmental. Evaluating these factors early in the design lifecycle significantly improves the quality of the design and reduces time spent collaborating across teams.

Developing automated 3D models during pre-FEED and FEED can drive down material costs, enhance asset visualization and help identify an optimal design early, minimizing revisions in later engineering phases.

Cost estimation is one of the key aspects of any engineering project, as it provides the basis to decide the feasibility and budget for the project. Yet cost estimation is often enclosed by uncertainty since during early engineering stages there is still very little information available. How can engineering teams find the most profitable designs when the project is still under development?

The successful execution of engineering projects requires intense collaboration among multi-discipline teams, but manual data handoffs often lead to errors, inconsistencies and delays that can derail a project.

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