### Abstract

Original language | English |
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Article number | 2039 |

Number of pages | 18 |

Journal | Energies |

DOIs | |

Publication status | Published - 3 Dec 2017 |

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### Keywords

- Smart Grids
- seasonal thermal storage
- modeling
- Integer linear programming

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**Improving an Integer Linear Programming Model of an Ecovat Buffer by Adding Long-Term Planning.** / de Goeijen, Gijs J.H.; Smit, Gerard J.M.; Hurink, Johann L.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Improving an Integer Linear Programming Model of an Ecovat Buffer by Adding Long-Term Planning

AU - de Goeijen, Gijs J.H.

AU - Smit, Gerard J.M.

AU - Hurink, Johann L.

PY - 2017/12/3

Y1 - 2017/12/3

N2 - The Ecovat is a seasonal thermal storage solution consisting of a large underground water tank divided into a number of virtual segments that can be individually charged and discharged. The goal of the Ecovat is to supply heat demand to a neighborhood throughout the entire year. In this work, we extend an integer linear programming model to describe the charging and discharging of such an Ecovat buffer by adding a long-term (yearly) planning step to the model. We compare the results from the model using this extension to previously obtained results and show significant improvements when looking at the combination of costs and the energy content of the buffer at the end of the optimization. Furthermore, we show that the model is very robust against prediction errors. For this, we compare two different cases: one case in which we assume perfect predictions are available and one case in which we assume no predictions are available. The largest observed difference in costs between these two cases is less than 2%.

AB - The Ecovat is a seasonal thermal storage solution consisting of a large underground water tank divided into a number of virtual segments that can be individually charged and discharged. The goal of the Ecovat is to supply heat demand to a neighborhood throughout the entire year. In this work, we extend an integer linear programming model to describe the charging and discharging of such an Ecovat buffer by adding a long-term (yearly) planning step to the model. We compare the results from the model using this extension to previously obtained results and show significant improvements when looking at the combination of costs and the energy content of the buffer at the end of the optimization. Furthermore, we show that the model is very robust against prediction errors. For this, we compare two different cases: one case in which we assume perfect predictions are available and one case in which we assume no predictions are available. The largest observed difference in costs between these two cases is less than 2%.

KW - Smart Grids

KW - seasonal thermal storage

KW - modeling

KW - Integer linear programming

U2 - 10.3390/en10122039

DO - 10.3390/en10122039

M3 - Article

JO - Energies

JF - Energies

SN - 1996-1073

M1 - 2039

ER -