Title
Strategies for agent-based decision optimization for smart energy solutions adoption
Date Issued
01 January 2020
Access level
open access
Resource Type
conference paper
Publisher(s)
Latin American and Caribbean Consortium of Engineering Institutions
Abstract
Agent-based simulation of the decision-making process for the adoption of smart energy solutions can provide evidence for smart energy solution providers to decide on a business strategy that results in the best adoption rate. The adoption rate of smart energy solutions is important to achieving climate goals, such as the Danish goal of 100% renewable electricity production by 2030. This document shows how agent-based simulation can be used to investigate the process of decision-making for the adoption of smart energy solutions. The study investigates a case of the adoption of a demand response program by Danish commercial greenhouse producers. The simulation developed in AnyLogic generates an adoption and information curve for the producer. The results provide the maximum monetary cost to achieve a 50% adoption rate in 5 years.
Language
English
OCDE Knowledge area
Ciencias de la información
Economía
Ciencias del medio ambiente
Subjects
Scopus EID
2-s2.0-85096794026
Source
Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Resource of which it is part
Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
ISSN of the container
24146390
ISBN of the container
9789585207141
Conference
18th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Engineering, Integration, and Alliances for a Sustainable Development" "Hemispheric Cooperation for Competitiveness and Prosperity on a Knowledge-Based Economy", LACCEI 2020
Sources of information:
Directorio de Producción Científica
Scopus