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README.md

IDEAS v2.1

Build Status

Modelica model environment for Integrated District Energy Assessment Simulations (IDEAS), allowing simultaneous transient simulation of thermal and electrical systems at both building and feeder level.

Release history

  • February 28th, 2019: IDEAS v2.1 has been released.
  • September 28th, 2018: IDEAS v2.0 has been released.
  • May 5th, 2017: IDEAS v1.0 has been released.
    February 16th 2018: A paper describing IDEAS v1.0 has been published on line.
  • September 2nd, 2015: IDEAS v0.3 has been released.

Release notes

This is a link to detailed release notes.

Backwards compatibility:

IDEAS 2.0 is not backwards compatible with IDEAS 1.0, although the required changes should be limited or non-existent for most users. In the future we hope to provide automated Dymola conversion scripts when making releases.

License

IDEAS is licensed by KU Leuven and 3E under a BSD 3 license.

References

Development of IDEAS

  1. F. Jorissen, G. Reynders, R. Baetens, D. Picard, D. Saelens, and L. Helsen. (2018) Implementation and Verification of the IDEAS Building Energy Simulation Library. Journal of Building Performance Simulation, 11 (6), 669-688, doi: 10.1080/19401493.2018.1428361.
  2. R. Baetens, R. De Coninck, F. Jorissen, D. Picard, L. Helsen, D. Saelens (2015). OpenIDEAS - An Open Framework for Integrated District Energy Simulations. In Proceedings of Building Simulation 2015, Hyderabad, 347--354.
  3. R. Baetens. (2015) On externalities of heat pump-based low-energy dwellings at the low-voltage distribution grid. PhD thesis, Arenberg Doctoral School, KU Leuven.
  4. F. Jorissen, W. Boydens, and L. Helsen. (2017) Validated air handling unit model using indirect evaporative cooling. Journal of Building Performance Simulation, 11 (1), 48–64, doi: 10.1080/19401493.2016.1273391
  5. R. Baetens, D. Saelens. (2016) Modelling uncertainty in district energy simulations by stochastic residential occupant behaviour. Journal of Building Performance Simulation 9 (4), 431–447, doi:10.1080/19401493.2015.1070203.
  6. M. Wetter, M. Fuchs, P. Grozman, L. Helsen, F. Jorissen, M. Lauster, M. Dirk, C. Nytsch-geusen, D. Picard, P. Sahlin, and M. Thorade. (2015) IEA EBC Annex 60 Modelica Library - An International Collaboration to Develop a Free Open-Source Model Library for Buildings and Community Energy Systems. In Proceedings of Building Simulation 2015, Hyderabad, 395–402.
  7. B. van der Heijde, M. Fuchs, C. Ribas Tugores, G. Schweiger, K. Sartor, D. Basciotti, D. Müller,C. Nytsch-Geusen, M. Wetter, L. Helsen (2017). Dynamic equation-based thermo-hydraulic pipe model for district heating and cooling systems. Energy Conversion and Management, 151, 158-169.
  8. D. Picard, L. Helsen (2014). Advanced Hybrid Model for Borefield Heat Exchanger Performance Evaluation, an Implementation in Modelica. In Proceedings of the 10th International Modelica Conference. Lund, 857-866.
  9. D. Picard, L. Helsen (2014). A New Hybrid Model For Borefield Heat Exchangers Performance Evaluation. 2014 ASHRAE ANNUAL CONFERENCE: Vol. 120 (2). ASHRAE: Ground Source Heat Pumps: State of the Art Design, Performance and Research. Seattle, 1-8.
  10. Picard D., Jorissen F., Helsen L. (2015). Methodology for Obtaining Linear State Space Building Energy Simulation Models. 11th International Modelica Conference. International Modelica Conference. Paris, 21-23 September 2015 (pp. 51-58).
  11. Jorissen F., Helsen L. (2019). Integrated Modelica Model and Model Predictive Control of a Terraced House Using IDEAS. 13th International Modelica Conference. Regensburg, 4-6 March 2019.

Applications of IDEAS

  1. D. Picard. (2017) Modeling, optimal control and HVAC design of large buildings using ground source heat pump systems. PhD thesis, Arenberg Doctoral School, KU Leuven.
  2. G. Reynders. (2015) Quantifying the impact of building design on the potential of structural storage for active demand response in residential buildings. PhD thesis, Arenberg Doctoral School, KU Leuven.
  3. R. De Coninck. (2015) Grey-box based optimal control for thermal systems in buildings - Unlocking energy efficiency and flexibility. PhD thesis, Arenberg Doctoral School, KU Leuven.
  4. G. Reynders, T. Nuytten, D. Saelens. (2013) Potential of structural thermal mass for demand-side management in dwellings. Building and Environment 64, 187–199, doi:10.1016/j.buildenv.2013.03.010.
  5. R. De Coninck, R. Baetens, D. Saelens, A. Woyte, L. Helsen (2014). Rule-based demand side management of domestic hot water production with heat pumps in zero energy neighbourhoods. Journal of Building Performance Simulation, 7 (4), 271-288.
  6. R. Baetens, R. De Coninck, J. Van Roy, B. Verbruggen, J. Driesen, L. Helsen, D. Saelens (2012). Assessing electrical bottlenecks at feeder level for residential net zero-energy buildings by integrated system simulation. Applied Energy, 96, 74-83.
  7. G. Reynders, J. Diriken, D. Saelens. (2014) Quality of grey-box models and identified parameters as function of the accuracy of input and observation signals. Energy & Buildings 82, 263–274, doi:10.1016/j.enbuild.2014.07.025.
  8. F. Jorissen, L. Helsen, M. Wetter (2015). Simulation Speed Analysis and Improvements of Modelica Models for Building Energy Simulation. In Proceedings of the 11th International Modelica Conference. Paris, 59-69.
  9. C. Protopapadaki, G. Reynders, D. Saelens (2014). Bottom-up modeling of the Belgian residential building stock: impact of building stock descriptions. In Proceedings of the 9th International Conference on System Simulation in Buildings. Liège.
  10. G. Reynders, J. Diriken, D. Saelens (2014). Bottom-up modeling of the Belgian residential building stock: impact of model complexity. In Proceedings of the 9th International Conference on System Simulation in Buildings. Liège.
  11. G. Reynders, J. Diriken, D. Saelens (2015). Impact of the heat emission system on the indentification of grey-box models for residential buildings. Energy Procedia 78, 3300-3305, doi: 10.1016/j.egypro.2015.11.740.
  12. I. De Jaeger, G. Reynders, D. Saelens (2017). Impact of spacial accuracy on district energy simulations. Energy Procedia 132, 561-566, doi: 10.1016/j.egypro.2017.09.741
  13. G. Reynders, R. Andriamamonjy, R. Klein, D. Saelens (2017). Towards an IFC-Modelica Tool Facilitating Model Complexity Selection for Building Energy Simulation. In Proceedings of the 15th Conference of the International Building Performance Simulation Association. California.
  14. G. Reynders, J. Diriken, D. Saelens (2017). Generic characterization method for energy flexibility: Applied to structural thermal storage in residential buildings. Applied Energy 198, 192-202, doi: 10.1016/j.apenergy.2017.04.061
  15. F. Jorissen. (2018) Toolchain for optimal control and design of energy systems in buildings. PhD thesis, Arenberg Doctoral School, KU Leuven.
  16. Picard D., Sourbron M., Jorissen F., Vana Z., Cigler J., Ferkl L., Helsen L. (2016). Comparison of Model Predictive Control Performance Using Grey-Box and White-Box Controller Models of a Multi-zone Office Building. International High Performance Buildings Conference. International High Performance Buildings Conference. West Lafayette, 11-14 July 2016 (art.nr. 203).

Bibtex entry for citing IDEAS

Please cite IDEAS using the information below.

@article{Jorissen2018ideas,  
author = {Jorissen, Filip and Reynders, Glenn and Baetens, Ruben and Picard, Damien and Saelens, Dirk and Helsen, Lieve},  
journal = {Journal of Building Performance Simulation},    
title = {{Implementation and Verification of the IDEAS Building Energy Simulation Library}},  
volume = {11},
issue = {6},  
pages = {669-688},
doi={10.1080/19401493.2018.1428361},  
year = {2018}  
}

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Modelica library allowing simultaneous transient simulation of thermal and electrical systems at both building and feeder level.

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