UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at http://www.ucl.ac.uk/finance/research/post_award/post_award_contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
Multi-Scale, Multi- Dimensional Modelling of Future Energy Systems
  • Publication Type:
    Chapter
  • Authors:
    Spataru C, Koch A, Bouffaron P
  • Publisher:
    IGI Global
  • Publication date:
    15/05/2015
  • Place of publication:
    USA
  • Chapter number:
    7
  • Series:
    Advances in Environmental Engineering and Green Technologies (AEEGT) Book Series
  • Editors:
    Vesco A,Ferrero F
  • Status:
    Published
  • Book title:
    Handbook of Research on Social, Economic, and Environmental Sustainability in the Development of Smart Cities
  • Language:
    english
  • Addresses:
    UCL UK

    EIFER Germany

    EIFER Germany
Abstract
This chapter provides a discussion of current multi-scale energy systems expressed by a multitude of data and simulation models, and how these modelling approaches can be (re)designed or combined to improve the representation of such system. It aims to address the knowledge gap in energy system model- ling in order to better understand its existing and future challenges. The frontiers between operational algorithms embedded in hardware and modelling control strategies are becoming fuzzier: therefore the paradigm of modelling intelligent urban energy systems for the future has to be constantly evolving. The chapter concludes on the need to build a holistic, multi-dimensional and multi-scale framework in order to address tomorrow’s urban energy challenges. Advances in multi-scale methods applied to material science, chemistry, fluid dynamics, and biology have not been transferred to the full extend to power system engineering. New tools are therefore necessary to describe dynamics of coupled energy systems with optimal control.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
Author
Bartlett School Env, Energy & Resources
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by