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Dynamic programming for optimal operation of a biofuel micro CHP-HES system

Lookup NU author(s): Professor Tony Roskilly

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

© 2017 Elsevier Ltd. Combined heat and power systems (CHPs) have received much attention in recent years due to increasing use of bio-fuels and distributed generation (DG). Conventionally, they are connected to the power grid to balance electrical demands and supplies. This research investigated an off-grid (stand-alone) biofuel micro CHP system with hybrid energy storage (HES) (including battery banks and super-capacitors) by developing an energy management strategy based on dynamic programming (DP). DP is an optimization strategy which has been applied to energy systems in recent years. However, they suffer from dimension problems when the number of variables increases. This work is the first attempt to apply the decision tree (DT) to multi-dimension DP solutions in energy systems. The energy efficiency is improved from 45.77% to 57.97% using diesel-biofuels and the system has a potential for commercial applications. The experimental test results validate its feasibility and effectiveness.


Publication metadata

Author(s): Chen XP, Hewitt N, Li ZT, Wu QM, Yuan X, Roskilly T

Publication type: Article

Publication status: Published

Journal: Applied Energy

Year: 2017

Volume: 208

Pages: 132-141

Print publication date: 15/12/2017

Online publication date: 01/11/2017

Acceptance date: 18/10/2017

Date deposited: 12/01/2018

ISSN (print): 0306-2619

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.apenergy.2017.10.065

DOI: 10.1016/j.apenergy.2017.10.065


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Funding

Funder referenceFunder name
EP/F061978/1EPSRC
National Natural Science Foundation of China (NSFC 51367006, 51667007)
Natural Science and Technology Foundation of Guizhou province, China (Ref. [2015]2034).

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