Optimal Design of Multi-Carrier and Multi-Objective Home Energy Management System

Milad Kazemi; Christina Papadimitriou; Nikolaos G. Paterakis; Irena Dukovska; Koen Kok

doi:10.1109/SEST57387.2023.10257384

Optimal Design of Multi-Carrier and Multi-Objective Home Energy Management System

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

8 Citations (Scopus)

9 Downloads (Pure)

Abstract

This paper presents an efficient home energy management system (HEMS) design for modern households equipped with domestic-scale energy technologies. The system considers the electricity and district heating energy carriers, with bidirectional energy exchange capability of electricity and heating, as well as gas carriers. The primary objective of the model is to optimally schedule and dispatch domestic appliances in real-time to achieve cost-effectiveness and minimize the carbon footprint as a secondary goal. To this end, mixed-integer linear programming (MILP) is adopted to model the multi-carrier HEMS. Also, the augmented $\epsilon -\mathbf{constraint}$ method (AUGMECON) is used to solve the multi-objective optimization problem (MOOP) and map the Pareto frontier. The final decision-making is carried out based on a multi-attribute decision-making (MADM) mechanism.

Original language	English
Title of host publication	2023 International Conference on Smart Energy Systems and Technologies, SEST 2023
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-6
Number of pages	6
ISBN (Electronic)	979-8-3503-9790-1
DOIs	https://doi.org/10.1109/SEST57387.2023.10257384
Publication status	Published - 2023
Event	2023 International Conference on Smart Energy Systems and Technologies, SEST 2023 - Mugla, Turkey Duration: 4 Sept 2023 → 6 Sept 2023

Conference

Conference	2023 International Conference on Smart Energy Systems and Technologies, SEST 2023
Country/Territory	Turkey
City	Mugla
Period	4/09/23 → 6/09/23

Funding

ACKNOWLEDGEMENT This work is a part of the project eNeuron which has received funding from the European Union’s Horizon 2020 Research and Innovation Program under Grant Agreement No. 957779. This work is a part of the project eNeuron which has received funding from the European Union s Horizon 2020 Research and Innovation Program under Grant Agreement No. 957779.

Funders	Funder number
European Union's Horizon 2020 - Research and Innovation Framework Programme	957779

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

CO2 Reduction
HEMS
Multi-Carrier Energy Systems
Multi-Objective Optimization

Access to Document

10.1109/SEST57387.2023.10257384

Cite this

Kazemi, M., Papadimitriou, C., Paterakis, N. G., Dukovska, I., & Kok, K. (2023). Optimal Design of Multi-Carrier and Multi-Objective Home Energy Management System. In 2023 International Conference on Smart Energy Systems and Technologies, SEST 2023 (pp. 1-6). Article 10257384 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SEST57387.2023.10257384

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title = "Optimal Design of Multi-Carrier and Multi-Objective Home Energy Management System",

abstract = "This paper presents an efficient home energy management system (HEMS) design for modern households equipped with domestic-scale energy technologies. The system considers the electricity and district heating energy carriers, with bidirectional energy exchange capability of electricity and heating, as well as gas carriers. The primary objective of the model is to optimally schedule and dispatch domestic appliances in real-time to achieve cost-effectiveness and minimize the carbon footprint as a secondary goal. To this end, mixed-integer linear programming (MILP) is adopted to model the multi-carrier HEMS. Also, the augmented \$\textbackslash{}epsilon -\textbackslash{}mathbf\{constraint\}\$ method (AUGMECON) is used to solve the multi-objective optimization problem (MOOP) and map the Pareto frontier. The final decision-making is carried out based on a multi-attribute decision-making (MADM) mechanism.",

keywords = "CO2 Reduction, HEMS, Multi-Carrier Energy Systems, Multi-Objective Optimization",

author = "Milad Kazemi and Christina Papadimitriou and Paterakis, \{Nikolaos G.\} and Irena Dukovska and Koen Kok",

year = "2023",

doi = "10.1109/SEST57387.2023.10257384",

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booktitle = "2023 International Conference on Smart Energy Systems and Technologies, SEST 2023",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2023 International Conference on Smart Energy Systems and Technologies, SEST 2023 ; Conference date: 04-09-2023 Through 06-09-2023",

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Kazemi, M , Papadimitriou, C , Paterakis, NG , Dukovska, I & Kok, K 2023, Optimal Design of Multi-Carrier and Multi-Objective Home Energy Management System. in 2023 International Conference on Smart Energy Systems and Technologies, SEST 2023., 10257384, Institute of Electrical and Electronics Engineers, pp. 1-6, 2023 International Conference on Smart Energy Systems and Technologies, SEST 2023, Mugla, Turkey, 4/09/23. https://doi.org/10.1109/SEST57387.2023.10257384

Optimal Design of Multi-Carrier and Multi-Objective Home Energy Management System. / Kazemi, Milad ; Papadimitriou, Christina ; Paterakis, Nikolaos G. et al.
2023 International Conference on Smart Energy Systems and Technologies, SEST 2023. Institute of Electrical and Electronics Engineers, 2023. p. 1-6 10257384.

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

TY - GEN

T1 - Optimal Design of Multi-Carrier and Multi-Objective Home Energy Management System

AU - Kazemi, Milad

AU - Papadimitriou, Christina

AU - Paterakis, Nikolaos G.

AU - Dukovska, Irena

AU - Kok, Koen

PY - 2023

Y1 - 2023

N2 - This paper presents an efficient home energy management system (HEMS) design for modern households equipped with domestic-scale energy technologies. The system considers the electricity and district heating energy carriers, with bidirectional energy exchange capability of electricity and heating, as well as gas carriers. The primary objective of the model is to optimally schedule and dispatch domestic appliances in real-time to achieve cost-effectiveness and minimize the carbon footprint as a secondary goal. To this end, mixed-integer linear programming (MILP) is adopted to model the multi-carrier HEMS. Also, the augmented $\epsilon -\mathbf{constraint}$ method (AUGMECON) is used to solve the multi-objective optimization problem (MOOP) and map the Pareto frontier. The final decision-making is carried out based on a multi-attribute decision-making (MADM) mechanism.

AB - This paper presents an efficient home energy management system (HEMS) design for modern households equipped with domestic-scale energy technologies. The system considers the electricity and district heating energy carriers, with bidirectional energy exchange capability of electricity and heating, as well as gas carriers. The primary objective of the model is to optimally schedule and dispatch domestic appliances in real-time to achieve cost-effectiveness and minimize the carbon footprint as a secondary goal. To this end, mixed-integer linear programming (MILP) is adopted to model the multi-carrier HEMS. Also, the augmented $\epsilon -\mathbf{constraint}$ method (AUGMECON) is used to solve the multi-objective optimization problem (MOOP) and map the Pareto frontier. The final decision-making is carried out based on a multi-attribute decision-making (MADM) mechanism.

KW - CO2 Reduction

KW - HEMS

KW - Multi-Carrier Energy Systems

KW - Multi-Objective Optimization

UR - https://www.scopus.com/pages/publications/85174232467

U2 - 10.1109/SEST57387.2023.10257384

DO - 10.1109/SEST57387.2023.10257384

M3 - Conference contribution

AN - SCOPUS:85174232467

SP - 1

EP - 6

BT - 2023 International Conference on Smart Energy Systems and Technologies, SEST 2023

PB - Institute of Electrical and Electronics Engineers

T2 - 2023 International Conference on Smart Energy Systems and Technologies, SEST 2023

Y2 - 4 September 2023 through 6 September 2023

ER -

Optimal Design of Multi-Carrier and Multi-Objective Home Energy Management System

Abstract

Conference

Funding

UN SDGs

Keywords

Access to Document

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