Decomposition method for optimizing long-term multi-area energy production with heat and power storages

Elnaz Abdollahi, Risto Lahdelma

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)


To achieve efficient transition towards climate and energy framework targets, improvement in energy efficiency is important. This paper presents a model for long-term multi-area combined heat and power production with heat and power storages, and power transmission between areas. Assuming fixed unit commitment, the model minimizes total production and transmission cost. The model can in principle be solved as a linear programming model. However, energy storages impose dynamic constraints to the model, making the long-term model very large and slow to solve. To speed up solution and to allow larger models to be solved, we develop a novel decomposition method that solves three kinds of smaller sub-models iteratively. The method is validated by comparing it with the integrated linear programming model using realistic demand data generated by a forecasting model. The method produces near-optimal solutions within three iterations. The decomposition method can also solve larger models much faster than the integrated model.
Original languageEnglish
Article number114332
Number of pages14
JournalApplied Energy
Early online date20 Dec 2019
Publication statusPublished - 15 Feb 2020
MoE publication typeA1 Journal article-refereed


  • Combined heat and power (CHP)
  • Decomposition
  • Energy efficiency
  • Energy storage
  • Optimization
  • Power transmission

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  • Projects

    STORE: Stochastic Optimization of Renewable Energy in Large Polygeneration Systems

    Lahdelma, R., Kayo, G., Abdollahi, E., Einolander, J., Salminen, P., Figueira, J. R., Wang, H. & Rikkas, R.


    Project: Academy of Finland: Other research funding

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