Structural and operational optimisation of distributed energy systems

Söderman, Jarmo; Pettersson, Frank

doi:10.1016/j.applthermaleng.2005.05.034

Cited by 154 publications

(76 citation statements)

References 16 publications

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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

Brkić

Tanasković

2008

Energy

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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has not been published previously, it is not under consideration for publication elsewhere, and if accepted it will not be published elsewhere in substantially the same form, in English or in any other language, without the written consent of the Publisher.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

Brkić

Tanasković

2008

Energy

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“…The work in [145] lines up a decomposition method, including spatial, as well as operational optimization of energy systems. A more sophisticated approach in structural planning with a broad variance for the distribution of district heating networks and thermal energy storages is presented in [146,147].…”

Section: From Purely Structural Planning Towards Operational Planningmentioning

confidence: 99%

GIS-Based Planning and Modeling for Renewable Energy: Challenges and Future Research Avenues

Resch

Sagl

Törnros

et al. 2014

IJGI

122

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Abstract:In the face of the broad political call for an -energy turnaround‖, we are currently witnessing three essential trends with regard to energy infrastructure planning, energy generation and storage: from planned production towards fluctuating production on the basis of renewable energy sources, from centralized generation towards decentralized generation and from expensive energy carriers towards cost-free energy carriers. These changes necessitate considerable modifications of the energy infrastructure. Even though most of these modifications are inherently motivated by geospatial questions and challenges, the integration of energy system models and Geographic Information Systems (GIS) is still in its infancy. This paper analyzes the shortcomings of previous approaches in using GIS in renewable energy-related projects, extracts distinct challenges from these previous efforts and, finally, defines a set of core future research avenues for GIS-based energy infrastructure planning with a focus on the use of renewable energy. These future OPEN ACCESS ISPRS Int. J. Geo-Inf. 2014, 3 663 research avenues comprise the availability base data and their -geospatial awareness‖, the development of a generic and unified data model, the usage of volunteered geographic information (VGI) and crowdsourced data in analysis processes, the integration of 3D building models and 3D data analysis, the incorporation of network topologies into GIS, the harmonization of the heterogeneous views on aggregation issues in the fields of energy and GIS, fine-grained energy demand estimation from freely-available data sources, decentralized storage facility planning, the investigation of GIS-based public participation mechanisms, the transition from purely structural to operational planning, data privacy aspects and, finally, the development of a new dynamic power market design.Keywords: integration of GIS and energy system models; GIS and renewable energy; GIS-based energy infrastructure planning; future research challenges; fluctuating renewables; structural planning of local energy systems; operation optimization

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“…The temperature interval heat integration model, described in [1], and the model of optimal locations of the processes, storages and routing of the pipelines at the site, [2], have been combined. The model integrates hot and cold streams at different temperature levels and in different locations at the site, applying suitable temperature intervals, so that a global economical optimum solution for the energy system is found.…”

Section: Optimisation Model For Industrial Cooling Systemsmentioning

confidence: 99%