Agent-based Decision Making for Adoption of Smart Energy Solutions

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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 languageEnglish
Title of host publicationIEEE Sciences and Humanities International Research Conference (SHIRCON)
Number of pages4
PublisherIEEE
Publication dateNov 2019
Pages1-4
ISBN (Print)978-1-7281-3819-0
ISBN (Electronic)978-1-7281-3818-3
DOIs
Publication statusPublished - Nov 2019
EventSciences and Humanities International Research Conference - Lima, Peru
Duration: 12. Nov 201915. Nov 2019

Conference

ConferenceSciences and Humanities International Research Conference
CountryPeru
CityLima
Period12/11/201915/11/2019

Keywords

  • agent-based simulation
  • decision making
  • innovation adoption
  • smart energy solutions

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