GIS based analysis of future district heating potential in Denmark

Nielsen, Steffen; Möller, Bernd

doi:10.1016/j.energy.2013.05.041

Cited by 109 publications

(48 citation statements)

References 9 publications

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“…In regions where the potential for expanding district heating (DH) networks diverges in different areas, the economic costs of heat production, transmission and distribution are difficult to estimate. Therefore, taking the geographic component into account using geospatial methods and GIS is a critical part in finding the boundaries to which such an expansion is economically feasible [53]. Although not mentioned by the authors, the most efficient use of energy storage technology, in this case, heat energy storages, also depends on spatial parameters, such as the distance to the next block or to individual houses.…”

Section: Gis-based Approaches (Implicitly Geospatial Methods)mentioning

confidence: 99%

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

Resch

Sagl

Törnros

et al. 2014

IJGI

121

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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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Section: Gis-based Approaches (Implicitly Geospatial Methods)mentioning

confidence: 99%

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

Resch

Sagl

Törnros

et al. 2014

IJGI

121

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“…DH enables the use of a variety of heat sources that are often wasted, as well as the renewable heat [4,15]. Many researchers have focused their field of studies to investigate methods and advantages of reusing the waste energy, RE utilization, modelling of DH systems and components [8,[16][17][18][19][20][21]. DH systems can significantly contribute achieving the goals of EU's energy policy in perspective of 2050 [22].…”

Section: Dh Is a Term Established In The Unitedmentioning

confidence: 99%

“…In order to regulate the relationship between the energy demands, the energy production and the energy distribution, advanced and complex control, forecast and energy management systems are required. A variety of software and models for DH supply systems are used to overcome the different heat demand purposes, always considering the supply reliability of the system [8]. States in the late 19 th century, and came in Europe in the beginning of the 20 th century.…”

Section: Introductionmentioning

confidence: 99%

Trends of European research and development in district heating technologies

Sayegh

Danielewicz

Nannou

et al. 2017

Renewable and Sustainable Energy Reviews

175

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There is a considerable diversity of district heating (DH) technologies, components and interaction in EU countries. The trends and developments of DH are investigated in this paper. Research of four areas related to DH systems and their interaction with: fossil fuels, renewable energy (RE) sources, energy efficiency of the systems and the impact on the environment and the human health are described in the following content. The key conclusion obtained from this review is that the DH development requires more flexible energy systems with building automations, more significant contribution of RE sources, more dynamic prosumers' participation, and integration with mix fuel energy systems, as part of smart energy sustainable systems in smart cities. These are the main issues that Europe has to address in order to establish sustainable DH systems across its countries.

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“…In locales where the potential for expanding territorial energy supplying networks wanders in various regions, the monetary expenses of energy creation, transmission, and circulation are hard to estimate. Subsequently, considering the geographic segment, utilizing geospatial methods and GIS is a basic part in finding the limits to which such an extension is economically attainable [11]. In spite of the fact that, the most effective utilization of energy storage innovation, for this situation, energy storages, likewise, relies on upon spatial parameters, for example, the separation to the following piece or to individual houses.…”

Section: Introductionmentioning

confidence: 99%

“…[1][2][3][4][5] From planned production toward fluctuating production on the basis of renewable energy sources, from centralized generation toward decentralized generation, and from expensive energy carriers toward cost-free renewable energy carriers [6][7][8][9][10][11][12]. Technological solutions such as microgrids, smart cities, and smart buildings will only be successful when the urban planner knows where to concentrate energy resources and consequently estimate the potential for demand management, optimize the energy demands, install or share the energy resources [12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Multi-Scale Modeling of Territorial Dynamics of Geospatial Anthropogenic Energy Consumption

Rai

2017

Asian J Pharm Clin Res

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Objective: The development of any region or territory stems from its own dynamic nature. Distribution and consumption of energy resources are varied territorially which in turn is ruled by the number of anthropogenic activities in association with geospatial localization. Such territorial dynamics necessitate considerable modifications of the energy infrastructure. Thus, the development of a computational multi-scale unified energy consumption model with the usage of geographic information helps in automating data analysis processes for sustainable urban planning, allocation of energy-saving infrastructures, and strategic deployment of the renewable energy resources to finely regulate the utilization of energy resources for sustainable energy consumption. Method:The integration of city-wide energy system models and geographic information systems (GIS) is still in its infancy. The research work is divided into five interrelated work packages. The Modelling problem is achieved with the help of analytical hierarchical process. Thus, we propose a computational infrastructure for modelling city-wide geospatial energy consumption and automating the data analysis process to provide the sustainable environmental policy, which requires artificial intelligence-based geospatial aware comprehensive planning, regarding the modification of the energy supply, consumption, activities, and infrastructures in cities.Results and Discussion: Thus, end result of the presented research work is fine-grained energy demand estimation from data sources, decentralized storage facility, and automated sustainable planning; investigation of GIS-based anthropogenic activities or mobility pattern influencing the wastage of energy resources, the transition from purely structural to operational planning, and, finally, the development of a new dynamic-based power market design.

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GIS based analysis of future district heating potential in Denmark

Cited by 109 publications

References 9 publications

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

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

Trends of European research and development in district heating technologies

Multi-Scale Modeling of Territorial Dynamics of Geospatial Anthropogenic Energy Consumption

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