A HPC based cloud model for real-time energy optimisation

Petri, Ioan; Li, Haijiang; Rezgui, Yacine; Yang, Chunfeng; Yüce, Barış; Jayan, Bejay

doi:10.1080/17517575.2014.919053

Cited by 20 publications

(11 citation statements)

References 17 publications

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“…A suitable system that has been decided upon is that of a game engine. A game engine provides powerful real-time 3D graphics, networking features that allow for collaboration and a simple and intuitive interface (Moore 2011;Petri et al 2014). Unity 3D from Unity Technologies has been chosen as the platform to interact between the professional designer and the end user/client.…”

Section: Implementation Framework Selectionmentioning

confidence: 99%

BIM based collaborative and interactive design process using computer game engine for general end-users

Edwards

Wang

2015

Vis. in Eng.

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Background: The emerging Building Information Modelling (BIM) in the Architectural, Engineering and Construction (AEC)/Facility Management (FM) industry promotes life cycle process and collaborative way of working. Currently, many efforts have been contributed for professional integrated design/construction/maintenance process, there are very few practical methods that can enable a professional designer to effectively interact and collaborate with end-users/clients on a functional level. Method: This paper tries to address the issue via the utilisation of computer game software combined with Building Information Modelling (BIM). Game-engine technology is used due to its intuitive controls, immersive 3D technology and network capabilities that allow for multiple simultaneous users. BIM has been specified due to the growing trend in industry for the adoption of the design method and the 3D nature of the models, which suit a game engine's capabilities.

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Section: Implementation Framework Selectionmentioning

confidence: 99%

BIM based collaborative and interactive design process using computer game engine for general end-users

Edwards

Wang

2015

Vis. in Eng.

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“…In that respect, future work involves implementing the proposed methodology in an office building. This will require a high computational system to perform the scheduling of a much larger number of appliances [29]. This will be reported in a follow on publication.…”

Section: Resultsmentioning

confidence: 99%

ANN–GA smart appliance scheduling for optimised energy management in the domestic sector

Yüce

Rezgui

Mourshed

2016

Energy and Buildings

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123

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“…It still can assist facility managers in decision making, provided it is taken as a tool to perform 'day ahead' scheduling. Another alternative would be to consider parallelisation of the optimization process or using high performance computing that deals with the computational time as used previously by authors in [36]. However, the inherent convergence speed of the GA (i.e.…”

Section: Discussionmentioning

confidence: 99%

“…A plethora of GA operator instances (selection, crossover, mutation) from the literature as well as other metaheuristics can be experimented, starting with the ones that are known to solve similar real-world optimization problems and moving towards ones that are tailored for district energy production scheduling. The resulting best-practice metaheuristics set-up for district energy schedule optimization, combined with accurate load prediction and possibly deployed on delocalised high performance computing infrastructures, could be at the heart of a multicriterion [36].…”

Section: Discussionmentioning

confidence: 99%

An Analytical Optimization Model for Holistic Multiobjective District Energy Management - A Case Study Approach

Jayan¹,

Li²,

Rezgui³

et al. 2016

IJMO

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Abstract-Efficient management during the operational phase of district energy systems has become increasingly complex due to the various static and dynamic factors involved. Existing deterministic algorithms which are largely based on human experience acquired from specific domains, normally fail to consider the overall efficiency of district energy systems in a holistic way. This paper looks into taking a black box approach by using genetic algorithms (GA) to solve a multiobjectiveoptimization problem conforming to economic, environmental and efficiency standards. This holistic optimization model, takes into account both heat and electricity demand profiles, and was applied in Ebbw Vale district, in Wales. The model helps compute optimized daily schedules for the generation mix in the district and different operational strategies are analyzed using deterministic and genetic algorithm (GA) based combined optimization methods. The results evidence that GA can be used to define an optimum strategy behind heat production leading to an increase in profit by 32% and reduction in CO 2 emissions by 36% in the 24 hour period analyzed. This research fits in well with future district energy systems which give priority to integrated and systematic management.Index Terms-Analytical model, district energy management, energy efficiency, genetic algorithms, multiobjective optimization.

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A HPC based cloud model for real-time energy optimisation

Cited by 20 publications

References 17 publications

BIM based collaborative and interactive design process using computer game engine for general end-users

BIM based collaborative and interactive design process using computer game engine for general end-users

ANN–GA smart appliance scheduling for optimised energy management in the domestic sector

An Analytical Optimization Model for Holistic Multiobjective District Energy Management - A Case Study Approach

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