Esko K. Juuso Smart Integration of Energy Production. In:Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th – 27th, 2017 DOI: http://dx.doi.org/10.3384/ecp17138220
Smart integration of energy production
|Author:||Juuso, Esko K.1|
1Control Engineering, Faculty of Technology, University of Oulu, Finland
|Online Access:||PDF Full Text (PDF, 1.9 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe201802143391
Linköping University Electronic Press,
|Publish Date:|| 2018-02-14
Heat is primarily important in the world’s total energy consumption and especially, peak loads and seasonal variations result in problems which are difficult to efficiently come up with electricity networks. Renewable energy sources bring important new possibilities, especially for the heat energy. This paper focuses on heat energy: compact parametric models are essential in the smart integration of production in the district heating and efficient collection of the solar thermal energy. Thermal masses of the buildings are used in the peak load cutting as energy storages. The physical parameters calculated from the building information facilitate the use of different types of buildings simultaneously in the calculations. Smart adaptive control solutions extend feasible operating periods in collecting solar thermal energy. A combination of multiple control actions is essential in keeping the system in control during strong fluctuations in cloudiness and energy demand. Heat storages increase the collecting power and extend the utilisation of the solar energy utilisation over daily and seasonal periods.
Linköping electronic conference proceedings
|Pages:||220 - 226|
Proceedings of The 58th Conference on Simulation and Modelling (SIMS 58)
|Host publication editor:||
Jonsson, Magnus Thor
58th Conference on Simulation and Modelling (SIMS 58)
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
114 Physical sciences
113 Computer and information sciences
222 Other engineering and technologies
This work was supported by the Finnish Funding Agency for Innovation (TEKES) through the project KLEI (40267/13) and project ICOSLE as a part of the EU SFERA Grant Agreement 228296.
© Scandinavian Simulation Society, 2017. Published in this repository with the kind permission of the publisher.