Lau, E T*; Yang, Q*; Forbes, A B; Wright, P S; Livina, V N (2014) Modelling carbon emissions in electrical systems. Energy Convers. Manage., 80. pp. 573-581.

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Abstract

We model energy consumption of network electricity and compute CE based on obtained energy data. We review various models of electricity consumption and propose an adaptive seasonal model based on the HTF. We incorporate HTF to define seasonal and daily trends of electricity demand. We then build a stochastic model that combines the trends and white noise component and the resulting simulations are estimated using EnKF, which provides ensemble simulations of groups of electricity consumers; similarly, we estimate carbon emissions from electricity generators. Three case studies of electricity generation and consumption are modelled: Brunel University photovoltaic generation data, Elexon national electricity generation data (various fuel types) and Irish smart grid data, with ensemble estimations by EnKF and computation of carbon emissions. We show the flexibility of HTF-based functions for modelling realistic cycles of energy consumption, the efficiency of EnKF in ensemble estimation of energy consumption and generation, and report the obtained estimates of the carbon emissions in the considered case studies.

Item Type:	Article
Subjects:	Mathematics and Scientific Computing Mathematics and Scientific Computing > Modelling
Identification number/DOI:	10.1016/j.enconman.2014.01.045
Last Modified:	02 Feb 2018 13:13
URI:	http://eprintspublications.npl.co.uk/id/eprint/6439

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