Research on the impact of enterprise digital transformation based on digital twin technology on renewable energy investment decisions

Q2 Energy

Energy Informatics Pub Date : 2024-12-30 DOI:10.1186/s42162-024-00447-8

Mengying Cao, Wanxiao Song, Yanyan Xu

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Abstract

In the context of global climate change and sustainable development, enterprise digital transformation has become key to improving efficiency and competitiveness. Digital twin technology, as an emerging tool, enables real-time monitoring, prediction, and optimization by creating dynamic virtual models of real-world processes. This paper explores the impact of digital twin-based transformation on renewable energy investment decisions. Through empirical analysis of over 200 companies globally, the study finds that companies using digital twin technology exhibit higher accuracy and efficiency in renewable energy investment decisions. These companies show improved forecasting of energy consumption and investment returns, gaining a competitive edge. On average, these companies experience a 15% ROI increase for their renewable energy investments and enjoy a 20% acceleration in the decision-making process. Furthermore, the study delves into how the adoption of digital twin technology differs across various company sizes and industries, providing actionable insights and guidance for enterprises embarking on their digital transformation journey.

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基于数字孪生技术的企业数字化转型对可再生能源投资决策的影响研究

在全球气候变化和可持续发展的背景下，企业数字化转型已成为提高效率和竞争力的关键。数字孪生技术作为一种新兴工具，通过创建现实世界过程的动态虚拟模型，实现实时监控、预测和优化。本文探讨了基于数字孪生的转型对可再生能源投资决策的影响。通过对全球200多家公司的实证分析，研究发现，使用数字孪生技术的公司在可再生能源投资决策中表现出更高的准确性和效率。这些公司对能源消耗和投资回报的预测有所改善，从而获得了竞争优势。平均而言，这些公司的可再生能源投资回报率增加了15%，决策过程加快了20%。此外，该研究还深入探讨了不同公司规模和行业采用数字孪生技术的差异，为开始数字化转型之旅的企业提供了可行的见解和指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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