Standards-Based Services for Big Spatio-Temporal Data

Baumann, Peter; Merticariu, V.; Dumitru, A.; Misev, D.

doi:10.5194/isprsarchives-xli-b4-691-2016

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…This characteristic enables also other interested researchers to contribute to extend the current planning tools with further indicators and approaches beyond the current focus in technical characteristics of the systems. Future work can considerably profit from the implementation of the models in platforms designed for big data analysis such as the open-source raster array engine rasdaman [205] instead of classical GIS tools as well as from the migration from a workstation based to a cloud environment implementation.…”

Section: Strengths and Weaknesses Of The Presented Methodologymentioning

confidence: 99%

Spatiotemporal modelling for integrated spatial and energy planning

Camargo

Stoeglehner

2018

Energ Sustain Soc

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The transformation of the energy system to a renewable one is crucial to enable sustainable development for mankind. The integration of high shares of renewable energy sources (RES) in the energy matrix is, however, a major challenge due to the low energy density per area unit and the stochastic temporal patterns in which RES are available. Distributed generation for energy supply becomes necessary to overcome this challenge, but it sets new pressures on the use of space. To optimize the use of space, spatial planning and energy planning have to be integrated, and suitable tools to support this integrated planning process are fundamental. Spatiotemporal modelling of RES is an emerging research field that aims at supporting and improving the planning process of energy systems with high shares of RES. This paper contributes to this field by reviewing latest developments and proposing models and tools for planning distributed energy systems for municipalities. The models provide estimations of the potentials of fluctuating RES technologies and energy demand in high spatiotemporal resolutions, and the planning tools serve to configure energy systems of multiple technologies that are customized for the local energy demand. Case studies that test the spatiotemporal models and their transferability were evaluated to determine the advantages of using these instead of merely spatial models for planning municipality-wide RES-based energy systems. Spatiotemporal models allow a more detailed estimation of RES potentials and serve to find not only optimal locations but also optimal sizes for individual RES plants. While the potential of variable RES based on yearly energy generation values can be considerably larger than the energy demand, only a fraction of it can be deployed without compromising the quality and reliability of the local energy supply system. Furthermore, when spatiotemporal models are used, it can be seen that technological diversity is beneficial for the supply quality. Similarly, the advantages and limits of the deployment of storage systems and of combinations of RES-based technologies to cover the local demand were determined and evaluated. Finally, the results from the analyses provide sufficient information to define road maps of installations deployment to achieve desired RES penetration objectives.

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Section: Strengths and Weaknesses Of The Presented Methodologymentioning

confidence: 99%

Spatiotemporal modelling for integrated spatial and energy planning

Camargo

Stoeglehner

2018

Energ Sustain Soc

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“…Also, the WMTS service is used, which enables faster delivery of map layers but is not as flexible as the previous two and cannot generate images at any scale. WCS / WCPS network services have also found application in space research [21].…”

Section: Space Interoperability Initiativesmentioning

confidence: 99%

Improving the Availability of Space Research Spatial Data*

Nevistić¹,

Bačić²

2022

Interdisciplinary Description of Complex Systems

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The rapid development of space technology and the increased interest in space exploration have resulted in the intensive observation of celestial bodies, mostly in the solar system, over the past decade with the prospect of an upward trend in the future. Large amounts of collected data on space bodies impose the need to develop the Spatial Data Infrastructure of Celestial Bodies at the general level to enable standardized organization and storage of these data, and their efficient use and exchange. To approach the development of such an infrastructure, it is necessary to investigate what data, as well as how and to what extent, are collected through space observation. It is also necessary to investigate how this data can be obtained. This paper provides an overview of planetary spatial data archives, data storage and retrieval methods, and their shortcomings in the context of easy search, download and interpretation of data, all with the aim of establishing Spatial Data Infrastructure of Celestial Bodies that would make space data more accessible to the public and non-planetary scientists.

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Standards-Based Services for Big Spatio-Temporal Data

Cited by 2 publications

References 6 publications

Spatiotemporal modelling for integrated spatial and energy planning

Spatiotemporal modelling for integrated spatial and energy planning

Improving the Availability of Space Research Spatial Data*

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