Optimization of Distributed Energy Resources in an Industrial Microgrid

Sean T. Blake; Dominic T.J. O'Sullivan

doi:10.1016/j.procir.2017.12.184

Optimization of Distributed Energy Resources in an Industrial Microgrid

Sean T. Blake
, Dominic T.J. O'Sullivan

Research output: Contribution to journal › Article › peer-review

Abstract

This paper introduces a model of an industrial microgrid with distributed energy resources (DERs). The model is applied to an existing manufacturing facility in Ireland. The test facility is connected to the main electricity grid but also has onsite generating units; a wind turbine and a combined heat and power (CHP) unit. The model generates a facility load forecast using historical data. A scenario analysis is then performed to investigate the effect of operating DERs, including demand response (DR), on carbon emissions and energy costs in an industrial microgrid. An energy storage component is then introduced and the viability of installing this technology is investigated.

Original language	English
Pages (from-to)	104-109
Number of pages	6
Journal	Procedia CIRP
Volume	67
DOIs	https://doi.org/10.1016/j.procir.2017.12.184
Publication status	Published - 2018
Event	11th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2017 - Ischia, Naples, Italy Duration: 19 Jul 2017 → 21 Jul 2017

Keywords

Distributed energy resources
Energy management
Green manufacturing
Indutrial microgrid
Load forecast

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.procir.2017.12.184

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title = "Optimization of Distributed Energy Resources in an Industrial Microgrid",

abstract = "This paper introduces a model of an industrial microgrid with distributed energy resources (DERs). The model is applied to an existing manufacturing facility in Ireland. The test facility is connected to the main electricity grid but also has onsite generating units; a wind turbine and a combined heat and power (CHP) unit. The model generates a facility load forecast using historical data. A scenario analysis is then performed to investigate the effect of operating DERs, including demand response (DR), on carbon emissions and energy costs in an industrial microgrid. An energy storage component is then introduced and the viability of installing this technology is investigated.",

keywords = "Distributed energy resources, Energy management, Green manufacturing, Indutrial microgrid, Load forecast",

author = "Blake, \{Sean T.\} and O'Sullivan, \{Dominic T.J.\}",

note = "Publisher Copyright: {\textcopyright} 2017 The Authors.; 11th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2017 ; Conference date: 19-07-2017 Through 21-07-2017",

year = "2018",

doi = "10.1016/j.procir.2017.12.184",

language = "English",

volume = "67",

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T1 - Optimization of Distributed Energy Resources in an Industrial Microgrid

AU - Blake, Sean T.

AU - O'Sullivan, Dominic T.J.

PY - 2018

Y1 - 2018

N2 - This paper introduces a model of an industrial microgrid with distributed energy resources (DERs). The model is applied to an existing manufacturing facility in Ireland. The test facility is connected to the main electricity grid but also has onsite generating units; a wind turbine and a combined heat and power (CHP) unit. The model generates a facility load forecast using historical data. A scenario analysis is then performed to investigate the effect of operating DERs, including demand response (DR), on carbon emissions and energy costs in an industrial microgrid. An energy storage component is then introduced and the viability of installing this technology is investigated.

AB - This paper introduces a model of an industrial microgrid with distributed energy resources (DERs). The model is applied to an existing manufacturing facility in Ireland. The test facility is connected to the main electricity grid but also has onsite generating units; a wind turbine and a combined heat and power (CHP) unit. The model generates a facility load forecast using historical data. A scenario analysis is then performed to investigate the effect of operating DERs, including demand response (DR), on carbon emissions and energy costs in an industrial microgrid. An energy storage component is then introduced and the viability of installing this technology is investigated.

KW - Distributed energy resources

KW - Energy management

KW - Green manufacturing

KW - Indutrial microgrid

KW - Load forecast

UR - https://www.scopus.com/pages/publications/85044658356

U2 - 10.1016/j.procir.2017.12.184

DO - 10.1016/j.procir.2017.12.184

M3 - Article

AN - SCOPUS:85044658356

SN - 2212-8271

VL - 67

SP - 104

EP - 109

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 11th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2017

Y2 - 19 July 2017 through 21 July 2017

ER -

Optimization of Distributed Energy Resources in an Industrial Microgrid

Abstract

Keywords

UN SDGs

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