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  • 标题:A predictive dynamic model of a smart cogeneration plant fuelled with fast pyrolysis bio-oil
  • 本地全文:下载
  • 作者:Seyed Mohammad Asadzadeh ; Nils Axel Andersen
  • 期刊名称:Journal of Sustainable Development of Energy, Water and Environment Systems
  • 电子版ISSN:1848-9257
  • 出版年度:2022
  • 卷号:10
  • 期号:4
  • 页码:1-36
  • DOI:10.13044/j.sdewes.d10.0430
  • 语种:English
  • 出版社:International Centre for Sustainable Developmen of Energy, Water and Environment Systems
  • 摘要: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.
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