With growing number of applications relying on complex simulations in areas ranging from science to engineering design, there is a need for algorithms and software implementations that can effectively optimize simulation output with minimal computational efforts. Our work in this context has two aspects: We develop algorithms that rely solely on simulation output. This class of algorithms is called derivative-free optimization algorithms. We investigate computationally attrac
We study the production of biobased chemicals from the viewpoint of process systems engineering, we perform techno-economic analysis and LCA and eventually achieve the optimal framework of biorefineries. Read more.
Economic analysis can provide preliminary cost assessment for industrial process at the design stage. In recent years, continuous biopharmaceutical process has become increasingly popular due to its advantages in flexibility, product quality, productivity, and profitability compared to traditional batch process. However, the continuous process is inherently more complex and the associated process design is yet far from mature. Therefore, our study applies economic analysis to
Multiple modeling approaches exist and continue to advance in the field of pharmaceutical manufacturing that resulted from the need to shift to continuous processing. While there are pros and cons for the various modeling methodologies, we strive to develop hybrid approaches that utilize their strengths and thus promote the usability of these tools for dynamic prediction and optimization purposes. Read more.