Online-optimization of logistics and energy in process industry

The project’s overall long-term goal is to create an analytics framework for large-scale integrated analysis and technical decision support for key areas of the process industry.

Project name: Online-optimization of logistics and energy in process industry

Research specialisation: Future Energy Center

Primary funding organisation(s): Vinnova

Secondary funding organisation(s): Bombardier Transportation, Green Cargo, Mälarenergi, ABB, Vattenfall

Co-operating/Co-production partners: SICS Swedish ICT Västerås (project leader), Bombardier Transportation, Green Cargo, Mälarenergi, ABB, Vattenfall, MDH

Project leader: Erik Dahlquist, Professor in Energy Engineering, Mälardalen University

Project start date: 2013-09-01

Project end date: 2014-06-01

Funding (MDH): 295,000 SEK

Description of the project

Swedish process industry is in great need of computer-based systems that can quickly and precisely describe the current situation, predict the impact of decisions and provide information and support that ultimately leads to effective decisions. Examples of such decision situations include control of power generation and critical shipments. Both these applications are of utmost importance for Swedish process industry.

The project’s overall long-term goal is to create an analytics framework for large-scale integrated analysis and technical decision support for key areas of the process industry. This will be done through a pilot study to investigate the potential and appropriate methodology for applications in process industry. The study is conducted through interviews, field visits, literature reviews and, to some extent, exploratory research through modeling and simulation experiments, in logistics, rail, and automated planning. The goal of the project is to determine the area´s overall potential, to establish the state-of-the-art in research and state-of-practice in the three case studies, provide plans for development of technical demonstrators, and provide a basis for the funding application for the next step.

The results are used for prioritization of methodology, planning a full-scale project, and to make the choice of demonstrators. The full-scale project will develop several demonstrators and ultimately to pilot installations, and aims to strengthen the areas “efficient use of resources”, “flexible production”, and “plant availability” in the overall research and innovation agenda (PIIA).