The group of Process Systems Engineering (PSE) is working on classical topics such as planning and scheduling, supply chain optimization and mathematical optimization of chemical processes and related operational problems with a special attention to energy topics. Special fields of focus are:
Other topics of interest are waste supply chain management, application of mixed integer linear and non-linear programming methods, and extending the PSE methods to new applications to improve sustainability with simultaneous focus and profitability and operability.
Here we list activities that the group members are participating at, e.g. conference presentations
Iiro Harjunkoski will give a presentation on the topic "Intensified Electricity Market Participation of Processes Industries". More about the Annual Meeting .
Iiro Harjunkoski will co-present the work "A More Accurate Spinning Reserve Model Incorporating Physical Ramp Rates and Limited Participation". More about the event .
Augusto Magalhães will present the work "Sparse Spectral Methods for Approximating PDE Solutions in Particle Flow". More about the event .
Iiro Harjunkoski will present the work "Electricity Bidding with Variable Loads". More information about the conference .
Iiro Harjunkoski will give a presentation on "Optimized Electricity Bidding under Price Uncertainty". More information about the conference .
We host a monthly seminar series on various topics in PSE. The seminars are open to the public, will take place monthly, and shall provide an opportunity for researchers, students, and practitioners to learn and discuss emerging topics from process systems engineering.
The entire Aalto community (and beyond!) is invited to subscribe to our mailing list, where we will send calendar invitations, announcements, and related materials: .
We are also open for outside presenters so if you are interested please contact Otacilio.
Title: Data assimilation for dynamic systems
Presenter: José Augusto F. Magalhães (Aalto University)
Abstract:
A data assimilation (DA) problem for a dynamic system refers to the construction of a set of equations given a differential description of the evolution of the system and a collection of observations related to quantities of interest. The quantity of interest is often the state variable of such a system denoted as signal, with inferences about the signal being obtained from indirect and noisy observations. DA theorists work within a rather mature field, typically analysing the governing differential equations as mathematical constructs inspired by real problems. DA practitioners have adopted a particular formulation of these equations to accommodate real-world observations, developing algorithms that turn their implementation into a feasible task across a wide range of computational settings. The first part of this talk provides an overview of the major developments in these two branches over the past 60-70 years of the field. The second part focuses on Monte Carlo applications in DA for dynamic systems, particularly a class of problems involving stochastic (and possibly high-dimensional) nonlinear models. For these problems, Monte Carlo methods offer significant advantages over conventional DA algorithms. We illustrate these ideas through a series of examples, presenting the problem and its solution in the context of bioreactors, reaction-diffusion systems, and atmospheric models.
When/where: 23.10.2025 (14:00 - 15:00) / Vuorimiehentie 2 (Circular Raw Materials Hub), C104 Platinium
Open to the public. No registration required.
Title:
Predictive control and feedback equilibrium-seeking for sustainable water resource recovery
Presenter:
Otacilio B. L. Neto (Aalto University)
Abstract:
In this presentation, we investigate automation solutions to transition wastewater treatment plants (WWTPs) into sustainable water resource recovery facilities (WRRFs), that is, plants that produce goods and energy using wastewater as a raw material. We investigate optimal control and game-theoretical methods (i) for repurposing the already existing infrastructure to these emerging objectives, and (ii) for promoting a wastewater-centered market through an interconnected network of WRRFs. Our findings contribute a step towards zero-waste water resource recovery infrastructures, with our study on networked systems also benefiting applications from different domains, such as smart grids and supply chain management.
When/where: 25.09.2025 (14:00 - 15:00) / Kemistintie 1, Room D311 (KE5)
Open to the public. No registration required.
Iiro Harjunkoski has been appointed as Full Professor position at the Department of Chemical and Metallurgical Engineering as of 1 September 2024. The field of the professorship is Process Systems Engineering.
Dr. Iiro Harjunkoski has been appointed Adjunt Professor at the School of Chemical Engineering.
