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

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Decomposition method for optimizing long-term multi-area energy production with heat and power storages. / Abdollahi, Elnaz; Lahdelma, Risto.

In: Applied Energy, Vol. 260, 114332, 15.02.2020.

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@article{5985a5fdd8504c27ac04cd340978775b,
title = "Decomposition method for optimizing long-term multi-area energy production with heat and power storages",
abstract = "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.",
keywords = "Combined heat and power (CHP), Decomposition, Energy efficiency, Energy storage, Optimization, Power transmission",
author = "Elnaz Abdollahi and Risto Lahdelma",
year = "2020",
month = "2",
day = "15",
doi = "10.1016/j.apenergy.2019.114332",
language = "English",
volume = "260",
journal = "Applied Energy",
issn = "0306-2619",

}

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TY - JOUR

T1 - Decomposition method for optimizing long-term multi-area energy production with heat and power storages

AU - Abdollahi, Elnaz

AU - Lahdelma, Risto

PY - 2020/2/15

Y1 - 2020/2/15

N2 - 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.

AB - 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.

KW - Combined heat and power (CHP)

KW - Decomposition

KW - Energy efficiency

KW - Energy storage

KW - Optimization

KW - Power transmission

UR - http://www.scopus.com/inward/record.url?scp=85076833313&partnerID=8YFLogxK

U2 - 10.1016/j.apenergy.2019.114332

DO - 10.1016/j.apenergy.2019.114332

M3 - Article

VL - 260

JO - Applied Energy

JF - Applied Energy

SN - 0306-2619

M1 - 114332

ER -

ID: 39633816