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Selected Papers from the 64th International Conference of Scandinavian Simulation Society, SIMS 2023

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 2008

Special Issue Editors


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Guest Editor
School of Business Society and Engineering, Division of Automation in Energy and Environmental Engineering, Mälardalen University, 72123 Vasteras, Sweden
Interests: energy and environment; process control; system analysis; design optimization; mechanical and gas turbine engineering; aerospace; defense
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Guest Editor
Business, society and engineering, Future Energy Center, Mälardalen University, 72123 Vasteras, Sweden
Interests: process automation; soft-sensors; learning systems; energy efficient buildings; novel process development; pulp and paper; steel
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Innovation, Design and Engineering , Division of Product Realisation, Mälardalen University, 72123 Vasteras, Sweden
Interests: industrial AI systems; renewable energy; resource efficiency with focus on energy efficiency, low emissions and nutrient and material recovery; digitalisation of future energy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue will include a selection of high-quality papers from the 64th International Conference of the Scandinavian Simulation Society, SIMS 2023.

The SIMS2023 conference will cover broad aspects of recent research and development work in modeling, simulation and optimization in engineering applications. The scientific program will include technical sessions with submitted papers and a poster session. Ph.D. students are especially encouraged to contribute papers relating to the conference themes.

Conference Themes:

  • Modeling and simulation for design, planning, optimization, control and monitoring.
  • Tools for modeling and simulation, numerical methods for simulation and novel techniques.
  • Visualization of modeling and simulation results.
  • Practical case studies of industrial automation.

Application areas include:

  • Renewable energy systems: bioenergy and biofuels, geothermal, hydro, solar, thermal, wave, tidal and wind energy.
  • Hydrogen technologies: production, storage and transportation and hydrogen value chain.
  • Energy systems: electric power, energy storage, fuel cells, heat pumps, industrial plants, energy use in buildings and power plants .
  • Transportation: automotive, hybrid and electrical vehicles, marine and infrastructure.
  • Industrial processes including carbon capture and storage, chemical processing, hydrogen production, oil and gas and water treatment.
  • Cyber-physical systems.
  • Biosystems and medical systems.

We look forward to receiving your submission.

Prof. Dr. Konstantinos Kyprianidis
Prof. Dr. Erik Dahlquist
Dr. Ioanna Aslanidou
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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Research

23 pages, 10410 KiB  
Article
Retrofitting Biomass Combined Heat and Power Plant for Biofuel Production—A Detailed Techno-Economic Analysis
by Hao Chen, Erik Dahlquist and Konstantinos Kyprianidis
Energies 2024, 17(2), 522; https://doi.org/10.3390/en17020522 - 22 Jan 2024
Viewed by 906
Abstract
Existing combined heat and power plants usually operate on part-load conditions during low heating demand seasons. Similarly, there are boilers designated for winter use that remain inactive for much of the year. This brings a concern about the inefficiency of resource utilization. Retrofitting [...] Read more.
Existing combined heat and power plants usually operate on part-load conditions during low heating demand seasons. Similarly, there are boilers designated for winter use that remain inactive for much of the year. This brings a concern about the inefficiency of resource utilization. Retrofitting existing CHP plants (especially for those with spare boilers) for biofuel production could increase revenue and enhance resource efficiency. This study introduces a novel approach that combines biomass gasification and pyrolysis in a polygeneration process that is based on utilizing existing CHP facilities to produce biomethane, bio-oil, and hydrogen. In this work, a detailed analysis was undertaken of retrofitting an existing biomass combined heat and power plant for biofuel production. The biofuel production plant is designed to explore the polygeneration of hydrogen, biomethane, and bio-oil via the integration of gasification, pyrolysis, and renewable-powered electrolysis. An Aspen Plus model of the proposed biofuel production plant is established followed by a performance investigation of the biofuel production plant under various design conditions. An economic analysis is carried out to examine the profitability of the proposed polygeneration system. Results show that the proposed polygeneration system can achieve 40% carbon efficiency with a payback period of 9 years and an internal rate of return of 17.5%, without the integration of renewable hydrogen. When integrated with renewable-power electrolysis, the carbon efficiency could be significantly improved to approximately 90%; however, the high investment cost associated with the electrolyzer system makes this integration economically unfavorable. Full article
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29 pages, 4112 KiB  
Article
Electric Submersible Pump Lifted Oil Field: Basic Model for Control, and Comparison of Simulation Tools
by Bernt Lie
Energies 2024, 17(2), 507; https://doi.org/10.3390/en17020507 - 20 Jan 2024
Viewed by 622
Abstract
Optimal operation of petroleum production is important in a transition from energy systems based on fossil fuel to sustainable systems. One sub-process in petroleum production deals with transport from the (subsea) well-bore to a topside separator. Good control design for such operation requires [...] Read more.
Optimal operation of petroleum production is important in a transition from energy systems based on fossil fuel to sustainable systems. One sub-process in petroleum production deals with transport from the (subsea) well-bore to a topside separator. Good control design for such operation requires a dynamic model of the petroleum flow from the well-bore to the separator. Here, such a dynamic model is considered for liquid production (oil/water) using an electric submersible pump (ESP) to aid in counteracting gravity and friction forces. Based on an existing model used for industrial control design, one goal is to report a complete dynamic model in a single paper. Emphasis is put on dimensionless equipment models for the simple change of units, and the model is developed from physical laws for easy replacement of sub-models, if needed. All the necessary information (equations, parameters) for model implementation is provided, and two candidate equation-based modeling languages are selected and compared: Modelica and ModelingToolkit [MTK] for Julia. The simulation results are virtually identical for the two languages and make sense from physics; however, there is a minor discrepancy in one plot—likely caused by slight differences in accuracy in handling initialization in the implicit algebraic equations. The implementation structures of the model in Modelica and MTK are similar. Modelica is a mature and excellent modeling tool, handles large-scale models, and has tools for producing C code and integration with other tools. MTK is still in rapid development, supports more model types than Modelica, and is integrated in an eco-system with excellent support for control design, optimization, model fitting, and more. To illustrate the suitability of using the developed model for control design, a simple PI controller is designed within the eco-system of MTK/Julia. Full article
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