Integrated appliance scheduling and optimal sizing of an autonomous hybrid renewable energy system for agricultural food production

Omolola A. Ogbolumani; Nnamdi Nwulu

doi:10.1007/978-981-15-5753-8_60

Integrated appliance scheduling and optimal sizing of an autonomous hybrid renewable energy system for agricultural food production

Omolola A. Ogbolumani
, Nnamdi Nwulu

Electrical and Electronic Engineering Science

University of Johannesburg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Citations (Scopus)

Abstract

This paper presents the optimal sizing of a solar photovoltaic (SPV), a wind turbine generator (WTG) and a battery-based autonomous hybrid renewable energy system (HRES) for a dairy farm.The multi-objective design and operational (sizing) optimisation problem integrate an appliance-scheduling strategy under the time of use demand response (TOU-DR) program to optimally schedule the load at the demand side. The objective function is to minimise the cost of energy (COE) of the system while satisfying all load demand constraints. The critical indicators of the technical and economic performance of the system are loss of power supply probability (LPSP) and the net present cost (NPC), respectively. The Advanced Interactive Multidimensional Modelling System (AIMMs) outer approximation (AOA) solver in AIMMS was used to formulate and solve the optimisation problem. A cost savings of R45,938.96 for the annualised cost was achieved due to appliance scheduling which indicates the benefit of integrating appliance-scheduling strategy using the TOU-DR program.

Original language	English
Title of host publication	Advances in Manufacturing Engineering - Selected Articles from ICMMPE 2019
Editors	Seyed Sattar Emamian, Farazila Yusof, Mokhtar Awang
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	651-660
Number of pages	10
ISBN (Print)	9789811557521
DOIs	https://doi.org/10.1007/978-981-15-5753-8_60
Publication status	Published - 2020
Event	5th International Conference on Mechanical, Manufacturing and Plant Engineering, ICMMPE 2019 - Kuala Lumpur, Malaysia Duration: 19 Nov 2019 → 21 Nov 2019

Publication series

Name	Lecture Notes in Mechanical Engineering
ISSN (Print)	2195-4356
ISSN (Electronic)	2195-4364

Conference

Conference	5th International Conference on Mechanical, Manufacturing and Plant Engineering, ICMMPE 2019
Country/Territory	Malaysia
City	Kuala Lumpur
Period	19/11/19 → 21/11/19

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Battery energy storage
Dairy farm
Optimisation models
Solar PV
Wind turbine generator

ASJC Scopus subject areas

Automotive Engineering
Aerospace Engineering
Mechanical Engineering
Fluid Flow and Transfer Processes

Access to Document

10.1007/978-981-15-5753-8_60

Cite this

Ogbolumani, O. A., & Nwulu, N. (2020). Integrated appliance scheduling and optimal sizing of an autonomous hybrid renewable energy system for agricultural food production. In S. S. Emamian, F. Yusof, & M. Awang (Eds.), Advances in Manufacturing Engineering - Selected Articles from ICMMPE 2019 (pp. 651-660). (Lecture Notes in Mechanical Engineering). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-5753-8_60

Ogbolumani, Omolola A. ; Nwulu, Nnamdi. / Integrated appliance scheduling and optimal sizing of an autonomous hybrid renewable energy system for agricultural food production. Advances in Manufacturing Engineering - Selected Articles from ICMMPE 2019. editor / Seyed Sattar Emamian ; Farazila Yusof ; Mokhtar Awang. Springer Science and Business Media Deutschland GmbH, 2020. pp. 651-660 (Lecture Notes in Mechanical Engineering).

@inproceedings{d3a198161d1b46cda139f27c5c450732,

title = "Integrated appliance scheduling and optimal sizing of an autonomous hybrid renewable energy system for agricultural food production",

abstract = "This paper presents the optimal sizing of a solar photovoltaic (SPV), a wind turbine generator (WTG) and a battery-based autonomous hybrid renewable energy system (HRES) for a dairy farm.The multi-objective design and operational (sizing) optimisation problem integrate an appliance-scheduling strategy under the time of use demand response (TOU-DR) program to optimally schedule the load at the demand side. The objective function is to minimise the cost of energy (COE) of the system while satisfying all load demand constraints. The critical indicators of the technical and economic performance of the system are loss of power supply probability (LPSP) and the net present cost (NPC), respectively. The Advanced Interactive Multidimensional Modelling System (AIMMs) outer approximation (AOA) solver in AIMMS was used to formulate and solve the optimisation problem. A cost savings of R45,938.96 for the annualised cost was achieved due to appliance scheduling which indicates the benefit of integrating appliance-scheduling strategy using the TOU-DR program.",

keywords = "Battery energy storage, Dairy farm, Optimisation models, Solar PV, Wind turbine generator",

author = "Ogbolumani, \{Omolola A.\} and Nnamdi Nwulu",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd 2020.; 5th International Conference on Mechanical, Manufacturing and Plant Engineering, ICMMPE 2019 ; Conference date: 19-11-2019 Through 21-11-2019",

year = "2020",

doi = "10.1007/978-981-15-5753-8\_60",

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Ogbolumani, OA & Nwulu, N 2020, Integrated appliance scheduling and optimal sizing of an autonomous hybrid renewable energy system for agricultural food production. in SS Emamian, F Yusof & M Awang (eds), Advances in Manufacturing Engineering - Selected Articles from ICMMPE 2019. Lecture Notes in Mechanical Engineering, Springer Science and Business Media Deutschland GmbH, pp. 651-660, 5th International Conference on Mechanical, Manufacturing and Plant Engineering, ICMMPE 2019, Kuala Lumpur, Malaysia, 19/11/19. https://doi.org/10.1007/978-981-15-5753-8_60

Integrated appliance scheduling and optimal sizing of an autonomous hybrid renewable energy system for agricultural food production. / Ogbolumani, Omolola A.; Nwulu, Nnamdi.
Advances in Manufacturing Engineering - Selected Articles from ICMMPE 2019. ed. / Seyed Sattar Emamian; Farazila Yusof; Mokhtar Awang. Springer Science and Business Media Deutschland GmbH, 2020. p. 651-660 (Lecture Notes in Mechanical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Integrated appliance scheduling and optimal sizing of an autonomous hybrid renewable energy system for agricultural food production

AU - Ogbolumani, Omolola A.

AU - Nwulu, Nnamdi

N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd 2020.

PY - 2020

Y1 - 2020

N2 - This paper presents the optimal sizing of a solar photovoltaic (SPV), a wind turbine generator (WTG) and a battery-based autonomous hybrid renewable energy system (HRES) for a dairy farm.The multi-objective design and operational (sizing) optimisation problem integrate an appliance-scheduling strategy under the time of use demand response (TOU-DR) program to optimally schedule the load at the demand side. The objective function is to minimise the cost of energy (COE) of the system while satisfying all load demand constraints. The critical indicators of the technical and economic performance of the system are loss of power supply probability (LPSP) and the net present cost (NPC), respectively. The Advanced Interactive Multidimensional Modelling System (AIMMs) outer approximation (AOA) solver in AIMMS was used to formulate and solve the optimisation problem. A cost savings of R45,938.96 for the annualised cost was achieved due to appliance scheduling which indicates the benefit of integrating appliance-scheduling strategy using the TOU-DR program.

AB - This paper presents the optimal sizing of a solar photovoltaic (SPV), a wind turbine generator (WTG) and a battery-based autonomous hybrid renewable energy system (HRES) for a dairy farm.The multi-objective design and operational (sizing) optimisation problem integrate an appliance-scheduling strategy under the time of use demand response (TOU-DR) program to optimally schedule the load at the demand side. The objective function is to minimise the cost of energy (COE) of the system while satisfying all load demand constraints. The critical indicators of the technical and economic performance of the system are loss of power supply probability (LPSP) and the net present cost (NPC), respectively. The Advanced Interactive Multidimensional Modelling System (AIMMs) outer approximation (AOA) solver in AIMMS was used to formulate and solve the optimisation problem. A cost savings of R45,938.96 for the annualised cost was achieved due to appliance scheduling which indicates the benefit of integrating appliance-scheduling strategy using the TOU-DR program.

KW - Battery energy storage

KW - Dairy farm

KW - Optimisation models

KW - Solar PV

KW - Wind turbine generator

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DO - 10.1007/978-981-15-5753-8_60

M3 - Conference contribution

AN - SCOPUS:85091278477

SN - 9789811557521

T3 - Lecture Notes in Mechanical Engineering

SP - 651

EP - 660

BT - Advances in Manufacturing Engineering - Selected Articles from ICMMPE 2019

A2 - Emamian, Seyed Sattar

A2 - Yusof, Farazila

A2 - Awang, Mokhtar

PB - Springer Science and Business Media Deutschland GmbH

T2 - 5th International Conference on Mechanical, Manufacturing and Plant Engineering, ICMMPE 2019

Y2 - 19 November 2019 through 21 November 2019

ER -

Ogbolumani OA, Nwulu N. Integrated appliance scheduling and optimal sizing of an autonomous hybrid renewable energy system for agricultural food production. In Emamian SS, Yusof F, Awang M, editors, Advances in Manufacturing Engineering - Selected Articles from ICMMPE 2019. Springer Science and Business Media Deutschland GmbH. 2020. p. 651-660. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-981-15-5753-8_60

Integrated appliance scheduling and optimal sizing of an autonomous hybrid renewable energy system for agricultural food production

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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