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Energy matching and trading within green building neighbourhoods based on stochastic approach considering uncertainty

Ghazimirsaeid, S, Fernando, TP and Marzband, M 2016, Energy matching and trading within green building neighbourhoods based on stochastic approach considering uncertainty , in: 11th European Conference on Product and Process Modelling, 7 - 9 September 2016, Limassol, Cypruse. (Submitted)

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Abstract

Non-dispatchable generation resources can be installed as small scale generation units that environmentally and economically could be competitive with conventional power generation. To reach this aim, a hybrid system including several types of non-dispatchable generation, dispatchable generation resources incorporated with energy storage assets can provide a sustainable necessary electricity/thermal/water pumping power during a green building’s daily operation. The objective of this paper is to model a dynamic system for a single green building considering several generation resources for feeding of some electrical and thermal specific load demands needed in a sustainable way. The proposed model based on a dynamic decision process is implemented to manage and monitor a complex hybrid system encompassing several generation resources and load demands by considering various uncertainties. In order to handle the uncertainties, scenario generation approach is utilized. The model is developed in The General Algebraic Modeling System (GAMS) environment in order to determine the optimal solution with scheduling resources by setting up the optimal power set-points for them. The optimization model is applied to a case study where the produced power is also used to supply water pumping for domestic consumption. Furthermore, other capabilities such as extendibility, reliability, and flexibility are examined about the proposed approach.

Item Type: Conference or Workshop Item (Paper)
Schools: Schools > School of the Built Environment
Depositing User: TP Fernando
Date Deposited: 06 Jul 2016 09:13
Last Modified: 02 Nov 2016 13:23
URI: http://usir.salford.ac.uk/id/eprint/39339

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