Multicriteria optimization approach to design and operation of district heating supply system over its life cycle
District Heating (DH) systems are commonly supplied using local heat sources. Nowadays, modern insulation materials allow for effective and economically viable heat transportation over long distances (over 20 km). In the paper a method for optimized selection of design and operating parameters of lo...
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Online Access: | https://doi.org/10.1051/e3sconf/20172200065 |
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doaj-9f3f5e19b8ae4037bb23f417bbb03d9d2021-08-11T14:28:28ZengEDP SciencesE3S Web of Conferences2267-12422017-01-01220006510.1051/e3sconf/20172200065e3sconf_asee2017_00065Multicriteria optimization approach to design and operation of district heating supply system over its life cycleHirsch PiotrDuzinkiewicz KazimierzGrochowski MichałDistrict Heating (DH) systems are commonly supplied using local heat sources. Nowadays, modern insulation materials allow for effective and economically viable heat transportation over long distances (over 20 km). In the paper a method for optimized selection of design and operating parameters of long distance Heat Transportation System (HTS) is proposed. The method allows for evaluation of feasibility and effectivity of heat transportation from the considered heat sources. The optimized selection is formulated as multicriteria decision-making problem. The constraints for this problem include a static HTS model, allowing considerations of system life cycle, time variability and spatial topology. Thereby, variation of heat demand and ground temperature within the DH area, insulation and pipe aging and/or terrain elevation profile are taken into account in the decision-making process. The HTS construction costs, pumping power, and heat losses are considered as objective functions. Inner pipe diameter, insulation thickness, temperatures and pumping stations locations are optimized during the decision-making process. Moreover, the variants of pipe-laying e.g. one pipeline with the larger diameter or two with the smaller might be considered during the optimization. The analyzed optimization problem is multicriteria, hybrid and nonlinear. Because of such problem properties, the genetic solver was applied.https://doi.org/10.1051/e3sconf/20172200065 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hirsch Piotr Duzinkiewicz Kazimierz Grochowski Michał |
spellingShingle |
Hirsch Piotr Duzinkiewicz Kazimierz Grochowski Michał Multicriteria optimization approach to design and operation of district heating supply system over its life cycle E3S Web of Conferences |
author_facet |
Hirsch Piotr Duzinkiewicz Kazimierz Grochowski Michał |
author_sort |
Hirsch Piotr |
title |
Multicriteria optimization approach to design and operation of district heating supply system over its life cycle |
title_short |
Multicriteria optimization approach to design and operation of district heating supply system over its life cycle |
title_full |
Multicriteria optimization approach to design and operation of district heating supply system over its life cycle |
title_fullStr |
Multicriteria optimization approach to design and operation of district heating supply system over its life cycle |
title_full_unstemmed |
Multicriteria optimization approach to design and operation of district heating supply system over its life cycle |
title_sort |
multicriteria optimization approach to design and operation of district heating supply system over its life cycle |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2017-01-01 |
description |
District Heating (DH) systems are commonly supplied using local heat sources. Nowadays, modern insulation materials allow for effective and economically viable heat transportation over long distances (over 20 km). In the paper a method for optimized selection of design and operating parameters of long distance Heat Transportation System (HTS) is proposed. The method allows for evaluation of feasibility and effectivity of heat transportation from the considered heat sources. The optimized selection is formulated as multicriteria decision-making problem. The constraints for this problem include a static HTS model, allowing considerations of system life cycle, time variability and spatial topology. Thereby, variation of heat demand and ground temperature within the DH area, insulation and pipe aging and/or terrain elevation profile are taken into account in the decision-making process. The HTS construction costs, pumping power, and heat losses are considered as objective functions. Inner pipe diameter, insulation thickness, temperatures and pumping stations locations are optimized during the decision-making process. Moreover, the variants of pipe-laying e.g. one pipeline with the larger diameter or two with the smaller might be considered during the optimization. The analyzed optimization problem is multicriteria, hybrid and nonlinear. Because of such problem properties, the genetic solver was applied. |
url |
https://doi.org/10.1051/e3sconf/20172200065 |
work_keys_str_mv |
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