Multicriterial optimisation of communal energy supply concepts

Bouvy, Claude; Lucas, Klaus

doi:10.1016/j.enconman.2007.06.046

Cited by 12 publications

(5 citation statements)

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“…A city is considered to be sustainable if it establishes the balance between economic and socio-cultural development, on one side and the progress in environmental protection with active participation of citizens. On the other side, the economics of the G and the DH systems very much depend on the specific circumstances [64,65]. If installed in an area with only scattered buildings, the length of the pipes which are necessary to supply households will be higher, relative to the number of buildings.…”

Section: Discussionmentioning

confidence: 99%

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Systematic approach to natural gas usage for domestic heating in urban areas

Brkić¹,

Tanasković²

2017

Preprint

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To cite this version:Dejan Brkić, Toma Tanasković. Systematic approach to natural gas usage for domestic heating in urban areas. Energy, 2008, 33 (12) Dear Prof. Lior, We are grateful to referees for their suggestions. According to referees' comments, we have modified our paper "Systematic Approach to Natural Gas Usage for Domestic Heating in Urban Areas"-EGY-D-08-00110R1. We are returning our rewritten manuscript. This paper has not been published previously, it is not under consideration for publication elsewhere, and if accepted it will not be published elsewhere in substantially the same form, in English or in any other language, without the written consent of the Publisher. Also, don't forget we want to attach Electronic annex refer to our work -MS Excel file (annex DB ver3). We hope that English expression in our paper is now improved. Abstract: Natural gas can be used for satisfying population needs for heating, either directly by bringing the gas to the dwellings through the gas distribution system and combusting it in the domestic boiler (gas distribution system-G), or indirectly by combusting the natural gas in the heating plant and distributing the heat energy to the dwellings through the district heating system (district heating system-DH). The selection of a certain type of heating system is made according to the disposition of buildings in the area, their number, size, insulation quality, etc. Based on these characteristics, calculations of investments and exploitation costs have been made for both heating systems and a comparison has been made for all of the 96 presented cases. Almost each type of real settlement can be represented by one of the types of the conditional urban area which are introduced in the paper. The main goal of this paper is to establish a general model to achieve coordinated development of centralized energy supply systems fueled by natural gas, based on defined and accepted criteria. A structure analysis of centralized systems for energy supply has been done with accent on their pipelines.Keywords: Natural Gas, Settlement, Gas Distribution, District Heating, Urbanism

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Section: Discussionmentioning

confidence: 99%

“…The latest increase in gas prices turned all eyes once again to the space heating problem in depend on the specific circumstances [64,65]. If installed in an area with only scattered 677 buildings, the length of the pipes which are necessary to supply households will be higher,…”

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confidence: 99%

Systematic approach to natural gas usage for domestic heating in urban areas

Brkić¹,

Tanasković²

2017

Preprint

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“…2.3), then complex system modelling approaches, such as system dynamics (SD) and agent-based (AB) simulation are more appropriate. Implementing Evolutionary algorithms into the optimisation of communal energy supply [17] indicates that the expected calculation time for good solutions, near the global optimum, is approximately thirteen weeks. However, in IEPCT, real time simulation and model specification changes might be required during the planning process with decision makers.…”

Section: Comparison Of Complex System Modelling Approachesmentioning

confidence: 99%

3-Domain Modelling

Mirakyan

Guio

2015

Three Domain Modelling and Uncertainty Analysis

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“…Energy-efficiency of such concepts plays a vital role in reducing CO 2 emissions. Efficient design and operation decisions of IES combine ecological and economic aspects; i.e., it does not only have potential for reducing CO 2 emissions, but it also supports significant cost savings as shown in various literature for industrial energy systems [3][4][5], district and urban energy systems [6][7][8] and building energy systems [9,10]. The design decisions are determined before and implemented during the development of the energy concept, such as the capacity of the energy components involved.…”

Section: Introductionmentioning

confidence: 97%

Combined Physics-Data Driven Modeling for Design and Operation Optimization of an Energy Concept

Kansara

Lockan

2023

36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 20

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The industrial sector accounts for a huge amount of energy-and process-related CO 2 emissions. One decarbonization strategy is to build an energy concept which provides electricity and heat for industrial processes using combination of different renewable energy sources such as photovoltaic, wind turbine, and solar thermal collector system combined with energy conversion power-to-heat components such as heat pump, electric boiler etc. The challenge for the industries is the economic aspect of the decarbonization, as industries require a cost-efficient solution. The total cost for an industrial energy concept includes investment and operating costs. This complex problem of minimizing cost and emission requires two major tasks: (I) modeling of components and (II) multi-objective coupled design and operation optimization of the energy concept. The optimal design and capacity of the components and optimal system operation depend majorly on the modeling of the components. The modeling of the components is either physics-driven or data-driven. The corresponding multi-objective coupled optimization is a complex problem with a large number of variables and constrains involved. This paper shows different types of physics-and data-driven modeling of energy components for the multi-objective coupled optimization for minimizing cost and emission of an industrial process as a case study. The optimization problem is solved as single-level problem and bi-level problem with different combinations of physics-and data-driven models. Different modeling techniques and their influence on the optimization are compared in terms of computational effort, solution accuracy and optimal capacity of components. The results show that the combination of physics and data-driven models have computational time reduction up to 37% with high accuracy compared to complete physics-driven models for the considered case study. Specific combination of physics-driven and polynomial regression models show the best trade-off between computational speed and accuracy.

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Multicriterial optimisation of communal energy supply concepts

Cited by 12 publications

References 1 publication

Systematic approach to natural gas usage for domestic heating in urban areas

Systematic approach to natural gas usage for domestic heating in urban areas

3-Domain Modelling

Combined Physics-Data Driven Modeling for Design and Operation Optimization of an Energy Concept

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