Synergistic integration of digital twins and sustainable industrial internet of things for new generation energy investments.

ABSTRACT:

Introduction

This study aims to identify optimal digital twin policies for enhancing renewable energy projects. Through a comprehensive analysis, the research evaluates the potential of digital twins in the renewable energy sector while considering triple bottom line perspectives.

Objectives

The study's main goal is to prioritize digital twin policies that can effectively boost renewable energy projects. The research aims to demonstrate the practical application and reliability of a proposed evaluation model.

Methods

Nine criteria, derived from literature review and triple bottom line viewpoints, are selected. Using the decision-making trial and evaluation laboratory (DEMATEL) methodology and Quantum picture fuzzy rough sets, criteria weights are determined. Quantum p

SUBMITTER: Kou G 

PROVIDER: S-EPMC11675074 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature