Optimization concepts in district energy design and management – A case study

The integration of optimization techniques in building and district energy design constitute an essential tool for reducing the global impact of energy services. Appropriate dynamic energy management systems must be employed too in order to maintain a high level of performance in the operational phase and to obtain better system knowledge. Therefore, in the strategic energy planning of districts, it is necessary to embody the main concepts of Smart Grid and virtual power plants frameworks. In the research presented, the preliminary results from a case study are illustrated with a reflection on energy consumption subdivision and load profiles for the sizing and operational strategy definition of distributed generation systems.

[1]  Chris Marnay,et al.  An Analysis of the DER Adoption Climate in Japan Using Optimization Results for Prototype Buildings with U.S. Comparisons , 2006 .

[2]  Frank Pettersson,et al.  Structural and operational optimisation of distributed energy systems , 2006 .

[3]  H Lee Willis,et al.  Power distribution planning reference book , 2000 .

[4]  Moncef Krarti,et al.  An Overview of Artificial Intelligence-Based Methods for Building Energy Systems , 2003 .

[5]  Yanpei Chen,et al.  An information-centric energy infrastructure: The Berkeley view , 2011, Sustain. Comput. Informatics Syst..

[6]  G. Mihalakakou,et al.  Using principal component and cluster analysis in the heating evaluation of the school building sector , 2010 .

[7]  Christof Wittwer,et al.  Decentralised optimisation of cogeneration in virtual power plants , 2010 .

[8]  Sherali Zeadally,et al.  Performance comparison of media access control protocols for vehicular ad hoc networks , 2012, IET Networks.

[9]  Kostas Metaxiotis.  Intelligent Information Systems and Knowledge Management for Energy: Applications for Decision Support, Usage, and Environmental Protection , 2009 .

[10]  Zheng O'Neill,et al.  Uncertainty and sensitivity decomposition of building energy models , 2012 .

[11]  Peter Droege,et al.  Urban Energy Transition: From Fossil Fuels to Renewable Power , 2008 .

[12]  Massimiliano Manfren,et al.  Paradigm shift in urban energy systems through distributed generation: Methods and models , 2011 .

[13]  Fernanda Leite,et al.  An applied artificial intelligence approach towards assessing building performance simulation tools , 2008 .

[14]  Karsten Voss,et al.  Load Matching and Grid Interaction of Net Zero Energy Buildings , 2010 .

[15]  Satoshi Yoshida,et al.  Study on sustainable redevelopment of a densely built-up area in Tokyo by introducing a distributed local energy supply system , 2008 .

[16]  Henrik Lund,et al.  Renewable Energy Systems: The Choice and Modeling of 100% Renewable Solutions , 2009 .