InImpact: The Journal of Innovation Impact

Publisher Future Technology Press
Vol. 7 No. 2 KES Transactions on SDM I - Sustainable Design and Manufacturing 2014
Volume Editors KES International
Journal ISSN 2051-6002
Article TitleParallel computing for supporting complex energy simulation and optimisation
Primary AuthorIoan Petri, School of Engineering, Cardiff University, UK (United Kingdom)
Other Author(s) Haijiang Li; Yacine Rezgui; Chunfeng Yang; Bejay Jayan; Baris Yuce
Pages 386 - 397
Article ID sdm14-033
Publication Date 01-May-16
AbstractWith the emergence of the new major challenge on communities regarding global warming, significant researching efforts have been recently directed towards simulation based building energy optimisation with the overall objective of reducing energy consumption. Energy simulation and optimisation identifies a class of applications that demands high performance processing power in order to be realised within a feasible time-frame. The problem becomes increasingly complex when addressing energy simulation and optimisation in large scale buildings such as sport facilities where the generation of optimal set points can be timing inefficient. Parallel processing on computing systems has enabled a wider range of complex simulations to be undertaken and are particularly useful due to their capability to handle and analyse massive amounts of data at high speed. In particular, such systems can provide the mechanisms for reducing the time for running complex simulations and optimising the various aspects within a problem. In this paper we present how parallel computing systems can be efficiently used for running and deploying EnergyPlus based simulations and optimisations in order to fulfil a number of energy related objectives. We adopt a comparison based approach by evaluating the performances of our system over a number of relevant scenarios.
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