A predictive dynamic model of a smart cogeneration plant fuelled with fast pyrolysis bio-oil

Original scientific paper

Journal of Sustainable Development of Energy, Water and Environment Systems
Volume 10, Issue 4, 1100430
DOI: https://doi.org/10.13044/j.sdewes.d10.0430
Seyed Mohammad Asadzadeh , Nils Axel Andersen
The Technical University of Denmark, Lyngby, Denmark


Small scale biomass-based cogeneration has the potential to contribute significantly to a clean, flexible, secure, and cost-efficient energy system. It provides flexibility to future energy systems by balancing variable intermittent renewable energy sources. To exploit its flexibility, a smart control unit is needed. To enable smart control of a cogeneration unit, and to determine its optimal working points, a dynamic system model is required. The purpose of this study is to develop, parameterize and tune a dynamic model of a cogeneration plant fuelled with fast pyrolysis bio-oil. The system is a hybrid diesel generator/flue gas boiler plant for electricity generation and water/space heating. The plant has two unique features: (i) pyrolysis bio-oil is a new fuel for both engine and boiler, and as such it influences their operation and emissions, (ii) power and heat generation are partially decoupled hence non-linearly correlated. The paper presents the integration of the components’ dynamic models into a system model. The model is parameterized and partially validated using measurements from a turbocharged four-cylinder diesel engine and a swirl burner both running on FPBO. Preliminary controls are designed and evaluated. Results show applicability and usefulness of the model for cogeneration system analysis and control design evaluation.

Keywords: Smart cogeneration; Dynamic model; Combined heat and power; Fast pyrolysis bio-oil

Creative Commons License
Views (in 2022): 326 | Downloads (in 2022): 88
Total views: 326 | Total downloads: 88