Agent-based Decision Making for Adoption of Smart Energy Solutions

Kristoffer Christensen; Zheng Ma; Magnus Værbak; Yves Demazeau; Bo Nørregaard Jørgensen

doi:10.1109/SHIRCON48091.2019.9024880

Agent-based Decision Making for Adoption of Smart Energy Solutions

Laboratoire d'Informatique de Grenoble

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

178 Downloads (Pure)

Abstract

Agent-based simulation of the decision-making
process for adoption of smart energy solutions can provide
evidence for smart energy solutions’ providers to decide for a
business strategy which results in the best adoption rate. The
adoption rate of smart energy solutions is important in
achieving climate goals, such as the Danish goal to have 100%
renewable electricity production by 2030. This paper shows
how agent-based simulation can be used to investigate the
decision-making process for adoption of smart energy
solutions. The study investigates a case about Danish
commercial greenhouse growers’ adoption of a demand
response program. The simulation outputs an adoption curve
and grower information. The results provide the maximum
monetary cost for achieving an adoption rate of 50% in 5 years.

Original language	English
Title of host publication	IEEE Sciences and Humanities International Research Conference (SHIRCON)
Number of pages	4
Publisher	IEEE
Publication date	Nov 2019
Pages	1-4
ISBN (Print)	978-1-7281-3819-0
ISBN (Electronic)	978-1-7281-3818-3
DOIs	https://doi.org/10.1109/SHIRCON48091.2019.9024880
Publication status	Published - Nov 2019
Event	Sciences and Humanities International Research Conference - Lima, Peru Duration: 12. Nov 2019 → 15. Nov 2019

Conference

Conference	Sciences and Humanities International Research Conference
Country/Territory	Peru
City	Lima
Period	12/11/2019 → 15/11/2019

Keywords

agent-based simulation
decision making
innovation adoption
smart energy solutions

Documents & Links

10.1109/SHIRCON48091.2019.9024880

Open Access VersionAccepted manuscript, 850 KB

SDU Link

Check access to the material in SDU Library's search engine

Agent-Based Framework for Simulating Evolution of Distributed Energy Resources in Energy Systems
Værbak, M., 30. Sept 2022, Syddansk Universitet. Det Tekniske Fakultet. 225 p.
Research output: Thesis › Ph.D. thesis

Open Access
File
423 Downloads (Pure)
Multi-Agent Based Simulation Framework for Evaluating Digital Energy Solutions and Adoption Strategies
Christensen, K., 30. Sept 2022, Syddansk Universitet. Det Tekniske Fakultet. 274 p.
Research output: Thesis › Ph.D. thesis

Open Access
File
685 Downloads (Pure)

Paper presentation
Christensen, K. (Speaker)
16. Sept 2019
Activity: Talks and presentations › Conference presentations

Cite this

@inproceedings{39d8e4cacb504186950cf36656e1acf1,

title = "Agent-based Decision Making for Adoption of Smart Energy Solutions",

abstract = "Agent-based simulation of the decision-making process for adoption of smart energy solutions can provide evidence for smart energy solutions{\textquoteright} providers to decide for a business strategy which results in the best adoption rate. The adoption rate of smart energy solutions is important in achieving climate goals, such as the Danish goal to have 100\% renewable electricity production by 2030. This paper shows how agent-based simulation can be used to investigate the decision-making process for adoption of smart energy solutions. The study investigates a case about Danish commercial greenhouse growers{\textquoteright} adoption of a demand response program. The simulation outputs an adoption curve and grower information. The results provide the maximum monetary cost for achieving an adoption rate of 50\% in 5 years.",

keywords = "agent-based simulation, decision making, innovation adoption, smart energy solutions",

author = "Kristoffer Christensen and Zheng Ma and Magnus V{\ae}rbak and Yves Demazeau and J{\o}rgensen, \{Bo N{\o}rregaard\}",

year = "2019",

month = nov,

doi = "10.1109/SHIRCON48091.2019.9024880",

language = "English",

isbn = "978-1-7281-3819-0",

pages = "1--4",

booktitle = "IEEE Sciences and Humanities International Research Conference (SHIRCON)",

publisher = "IEEE",

address = "United States",

note = "Sciences and Humanities International Research Conference, SHIRCON 2019 ; Conference date: 12-11-2019 Through 15-11-2019",

}

TY - GEN

T1 - Agent-based Decision Making for Adoption of Smart Energy Solutions

AU - Christensen, Kristoffer

AU - Ma, Zheng

AU - Værbak, Magnus

AU - Demazeau, Yves

AU - Jørgensen, Bo Nørregaard

PY - 2019/11

Y1 - 2019/11

N2 - Agent-based simulation of the decision-making process for adoption of smart energy solutions can provide evidence for smart energy solutions’ providers to decide for a business strategy which results in the best adoption rate. The adoption rate of smart energy solutions is important in achieving climate goals, such as the Danish goal to have 100% renewable electricity production by 2030. This paper shows how agent-based simulation can be used to investigate the decision-making process for adoption of smart energy solutions. The study investigates a case about Danish commercial greenhouse growers’ adoption of a demand response program. The simulation outputs an adoption curve and grower information. The results provide the maximum monetary cost for achieving an adoption rate of 50% in 5 years.

AB - Agent-based simulation of the decision-making process for adoption of smart energy solutions can provide evidence for smart energy solutions’ providers to decide for a business strategy which results in the best adoption rate. The adoption rate of smart energy solutions is important in achieving climate goals, such as the Danish goal to have 100% renewable electricity production by 2030. This paper shows how agent-based simulation can be used to investigate the decision-making process for adoption of smart energy solutions. The study investigates a case about Danish commercial greenhouse growers’ adoption of a demand response program. The simulation outputs an adoption curve and grower information. The results provide the maximum monetary cost for achieving an adoption rate of 50% in 5 years.

KW - agent-based simulation

KW - decision making

KW - innovation adoption

KW - smart energy solutions

U2 - 10.1109/SHIRCON48091.2019.9024880

DO - 10.1109/SHIRCON48091.2019.9024880

M3 - Article in proceedings

SN - 978-1-7281-3819-0

SP - 1

EP - 4

BT - IEEE Sciences and Humanities International Research Conference (SHIRCON)

PB - IEEE

T2 - Sciences and Humanities International Research Conference

Y2 - 12 November 2019 through 15 November 2019

ER -

Agent-based Decision Making for Adoption of Smart Energy Solutions

Abstract

Conference

Keywords

Documents & Links

SDU Link

Fingerprint

Related research output

Agent-Based Framework for Simulating Evolution of Distributed Energy Resources in Energy Systems

Multi-Agent Based Simulation Framework for Evaluating Digital Energy Solutions and Adoption Strategies

Related activities

Paper presentation

Cite this