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

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

Laboratoire d'Informatique de Grenoble

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

120 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

2 Ph.D. thesis

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
270 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
417 Downloads (Pure)

Cite this

@inproceedings{39d8e4cacb504186950cf36656e1acf1,

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

abstract = "Agent-based simulation of the decision-makingprocess for adoption of smart energy solutions can provideevidence for smart energy solutions{\textquoteright} providers to decide for abusiness strategy which results in the best adoption rate. Theadoption rate of smart energy solutions is important inachieving climate goals, such as the Danish goal to have 100%renewable electricity production by 2030. This paper showshow agent-based simulation can be used to investigate thedecision-making process for adoption of smart energysolutions. The study investigates a case about Danishcommercial greenhouse growers{\textquoteright} adoption of a demandresponse program. The simulation outputs an adoption curveand grower information. The results provide the maximummonetary 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-makingprocess for adoption of smart energy solutions can provideevidence for smart energy solutions’ providers to decide for abusiness strategy which results in the best adoption rate. Theadoption rate of smart energy solutions is important inachieving climate goals, such as the Danish goal to have 100%renewable electricity production by 2030. This paper showshow agent-based simulation can be used to investigate thedecision-making process for adoption of smart energysolutions. The study investigates a case about Danishcommercial greenhouse growers’ adoption of a demandresponse program. The simulation outputs an adoption curveand grower information. The results provide the maximummonetary cost for achieving an adoption rate of 50% in 5 years.

AB - Agent-based simulation of the decision-makingprocess for adoption of smart energy solutions can provideevidence for smart energy solutions’ providers to decide for abusiness strategy which results in the best adoption rate. Theadoption rate of smart energy solutions is important inachieving climate goals, such as the Danish goal to have 100%renewable electricity production by 2030. This paper showshow agent-based simulation can be used to investigate thedecision-making process for adoption of smart energysolutions. The study investigates a case about Danishcommercial greenhouse growers’ adoption of a demandresponse program. The simulation outputs an adoption curveand grower information. The results provide the maximummonetary 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

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

Cite this