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ICT-Based Solutions Supporting Energy Systems for Smart Cities

ICT-Based Solutions Supporting Energy Systems for Smart Cities

Wolfgang Loibl, Brigitte Bach, Gerhard Zucker, Giorgio Agugiaro, Peter Palensky, Ralf-Roman Schmidt, Daniele Basciotti, Helfried Brunner
Copyright: © 2018 |Pages: 29
ISBN13: 9781522556466|ISBN10: 152255646X|EISBN13: 9781522556473
DOI: 10.4018/978-1-5225-5646-6.ch005
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MLA

Loibl, Wolfgang, et al. "ICT-Based Solutions Supporting Energy Systems for Smart Cities." E-Planning and Collaboration: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2018, pp. 80-108. https://doi.org/10.4018/978-1-5225-5646-6.ch005

APA

Loibl, W., Bach, B., Zucker, G., Agugiaro, G., Palensky, P., Schmidt, R., Basciotti, D., & Brunner, H. (2018). ICT-Based Solutions Supporting Energy Systems for Smart Cities. In I. Management Association (Ed.), E-Planning and Collaboration: Concepts, Methodologies, Tools, and Applications (pp. 80-108). IGI Global. https://doi.org/10.4018/978-1-5225-5646-6.ch005

Chicago

Loibl, Wolfgang, et al. "ICT-Based Solutions Supporting Energy Systems for Smart Cities." In E-Planning and Collaboration: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 80-108. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5646-6.ch005

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Abstract

This chapter describes ICT solutions for planning, maintaining and assessing urban energy systems. There is no single urban energy system, but – like the city itself – a system of sub-systems with different scales, spatially ranging from buildings to blocks, districts and to the city, temporally ranging from real time data to hourly, daily, monthly and finally annual totals. ICT support must consider these different sub-systems which makes necessary dividing the chapter into different sections. The chapter starts with framework conditions and general requirements for ICT solutions, and continues discussing urban development simulating models. Then decision support tools are described for energy supply and demand as well as for energy efficiency improvement assessment. Later further instruments for Smart Grid-, district heating- and cooling-planning, as well as demand side management are addressed. In the final section tools are discussed for building automation systems as smallest physical entity within the urban energy system.

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