Interaction effects in optimising a municipal energy system

Sundberg, Gunnel; Karlsson, Björn

doi:10.1016/s0360-5442(00)00022-0

Cited by 18 publications

(5 citation statements)

References 5 publications

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“…For example, the system design cluster arguably represents some of the most complex models identified by the review. Optimization techniques may attempt to incorporate some of these complexities with a technique like multi-objective optimization [278] or sensitivity analysis [177]. Yet all models tread a fine line between tractibility and model performance.…”

Section: Complexitymentioning

confidence: 99%

A review of urban energy system models: Approaches, challenges and opportunities

Keirstead

Jennings

Sivakumar

2012

Renewable and Sustainable Energy Reviews

498

238

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Energy use in cities has attracted significant research in recent years. However such a broad topic inevitably results in number of alternative interpretations of the problem domain and the modelling tools used in its study. This paper seeks to pull together these strands by proposing a theoretical definition of an urban energy system model and then evaluating the state of current practice. Drawing on a review of 219 papers, five key areas of practice were identified -technology design, building design, urban climate, systems design, and policy assessment -each with distinct and incomplete interpretations of the problem domain. We also highlight a sixth field, land use and transportation modelling, which has direct relevance to the use of energy in cities but has been somewhat overlooked by the literature to date.Despite their diversity, these approaches to urban energy system modelling share four common challenges in understanding model complexity, data quality and uncertainty, model integration, and policy relevance. We then examine the opportunities for improving current practice in urban energy systems * Corresponding author Email addresses: j.keirstead@imperial.ac.uk (James Keirstead), m.jennings09@imperial.ac.uk (Mark Jennings), a.sivakumar@imperial.ac.uk (Aruna Sivakumar) Preprint submitted to Renewable and Sustainable Energy ReviewsOctober 5, 2011modelling, focusing on the potential of sensitivity analysis and cloud computing, data collection and integration techniques, and the use of activity-based modelling as an integrating framework. The results indicate that there is significant potential for urban energy systems modelling to move beyond single disciplinary approaches towards a sophisticated integrated perspective that more fully captures the theoretical intricacy of urban energy systems.

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Section: Complexitymentioning

confidence: 99%

A review of urban energy system models: Approaches, challenges and opportunities

Keirstead

Jennings

Sivakumar

2012

Renewable and Sustainable Energy Reviews

498

238

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“…Today, discussions about district heating systems are not rare in scientific literature [53][54][55][56][57][58][59][60][61][62][63].…”

Section: Case Study; Application Under Real Conditionsmentioning

confidence: 99%

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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“…For this reason, the methodology selected for sensitivity analysis is based on factorial design, which is advocated by [27] as the most suitable methodology to answer the practical questions on which factors may cause a project (or a group of projects) to go wrong when the state of knowledge does not allow the analyst to confidently assign distributions to the model inputs [28]. As this is often the case in energy system modeling, factorial design has been used by several authors to obtain an interpretation of the importance of uncertain parameters on sustainable energy projects [16,19,29,30].…”

Section: Case Studies Descriptionmentioning

confidence: 99%

“…Results are presented in section 3, which also includes the sensitivity analysis performed via factor analysis [19], as explained in section 2. Factor analysis allows to highlight both single and combined effects of policy and territorial factors affecting the likely mix of profitable technologies, and corresponding environmental and economic impacts.…”

Section: Introductionmentioning

confidence: 99%