Sustainable Systems

Area of expertise

We specialize in formulating various types of mathematical programming models, including linear and nonlinear models with continuous and discrete variables. These models are optimized under both deterministic and stochastic conditions. Our primary focus is on process synthesis through superstructure optimization, which systematically identifies the optimal flowsheet and operating conditions based on the proposed design space and objective functions, such as maximizing economic or environmental performance. Additionally, we carry out plant-wide process modeling and design for (bio)chemical plants to accurately estimate material and energy balances, optimize systems, and size equipment.

In parallel, we conduct comprehensive sustainability assessments, including techno-economic, sensitivity, and life cycle analyses, for both industrial and bench-scale processes. These evaluations enable us to thoroughly assess the sustainability of systems and provide informed guidance on process adoption, optimization, or rejection.

We also apply Geographic Information Systems (GIS) and spatial analysis techniques—such as mapping, visualization, proximity analysis, overlays, network analysis, and hotspot identification—to assess land suitability, resource availability, and plant location for emerging technologies like biorefineries and green hydrogen production plants. Critical geospatial factors, including land availability, renewable resources, road access, water availability, water stress, slope, and proximity to protected areas, are central to our decision-making.

Research areas

We focus on three key areas, as outlined below.