数字孪生技术的进步改变了能源行业

Advancements in Digital Twin Technology Transforming the Energy Sector

出版日期: 2023年06月27日 | 出版商:

Frost & Sullivan | 英文 47 Pages | 商品交期: 最快1-2个工作天内

价格

简介目录

通过单一平台进行精确建模和流程整合，以增强发电、输电和配电分析

为了实现全球排放目标，到 2030 年，可再生能源需要占能源消耗的至少 42%，到 2050 年达到 60%，高于 2021 年的 17%。全球电力行业正在向可再生能源发电转型，以遏制温室气体排放，但可再生能源是间歇性的。因此，它们在发电结构中所占比例的增加将影响传统发电厂的运营以及输配电网。可再生能源比例的不断增加正在减少对传统蒸气涡轮电厂和燃煤电厂的依赖和运转率。这一趋势给传统发电厂带来了一些挑战。从根本上来说，可再生能源的间歇性会破坏电网的稳定性。数字孪生技术通过提高传统发电的灵活性、提高可再生能源发电的可预测性以及提高电网弹性来应对这些挑战。

这项研究涵盖了数字孪生系统的基础知识和运行原理，并对发电和输配电系统中的数字孪生应用进行了深入分析。还包括能源领域数字孪生技术的关键增长机会、成长促进因素和抑制因素、关键创新和研发活动。

还包括多个案例研究，展示了数字孪生给能源行业带来的好处。它还探讨了参与开发能源应用创新数字孪生解决方案的主要相关人员，分析了全球专利格局，重点关注关键专利持有人/申请人和关键研究领域。

数字孪生在能源领域的应用介绍
数字孪生技术在常规发电中的必要性
常规电厂数字孪生运行机制
燃煤电厂案例研究中的数字孪生
数字孪生使可再生能源发电厂更适应运行条件
通过案例研究数字孪生进行太阳能发电厂绩效审核
输配电数字孪生
资产数字孪生可提高输配电设备的效率和使用寿命
电网数字孪生可在不影响弹性的情况下实现最佳电网扩展
案例研究数字孪生增强电网经济性和弹性

特色公司

西门子能源（美国）
恩维里奥（德国）
能源领域数字孪生技术知名公司

能源领域数字孪生技术知识产权分析

中国垄断数字孪生技术专利

成长机会宇宙

增长机会 1：在整个价值链中部署整合数字孪生
增长机会 2：数字孪生即服务商业模式
增长机会 3：OEM与公用事业公司之间的合作

下一步

下一步
为什么现在要霜冻？
免责声明

简介目录

Product Code: DA98

Precise Modeling and Process Integration from a Single Platform to Enhance Analytics in Power Generation, Transmission, and Distribution

To meet global emission reduction targets, renewable energy must account for at least 42% of energy consumption by 2030 and 60% by 2050, compared to 17% in 2021. Although the global power generation sector is moving toward renewable power to curb greenhouse gas emissions, renewable energy is intermittent. Therefore, its increased share in the power generation mix affects both conventional power plant operations and the transmission and distribution grid. The increased share of renewables has lowered dependence and capacity utilization of conventional steam turbine and coal-fired power generation plants. This trend poses several challenges to conventional power plants. Essentially, the intermittency of renewables can compromise grid stability. Digital twin technology addresses these challenges by enhancing the flexibility of conventional power generation, improving the predictability of renewable power generation, and improving grid resiliency.

This study covers the fundamentals and working principle of digital twin systems, offering detailed analysis of digital twin applications across power generation and transmission and distribution systems. It includes key growth opportunities, growth drivers and restraints, major innovations, and research and development activities in digital twin technology for the energy sector.

The study also includes multiple case studies that illustrate the advantages digital twins offer the energy sector. It discusses key stakeholders involved in the development of innovative digital twin solutions for energy applications, including an analysis of the global patent landscape that highlights key patent owners/applicants and the major areas of research.

Strategic Imperatives

Why Is It Increasingly Difficult to Grow?The Strategic Imperative 8™: Factors Creating Pressure on Growth
The Strategic Imperative 8™
The Impact of the Top 3 Strategic Imperatives on the Digital Twin Technology Advancements in the Energy Sector
Growth Opportunities Fuel the Growth Pipeline Engine™
Research Methodology

Growth Opportunity Analysis

Scope of Analysis
Segmentation
Growth Drivers
Growth Restraints

Introduction to Digital Twin

Digital Twin Explained
Working Principle of Digital Twin
Types of Digital Twins by Application

Digital Twin Applications in the Energy Sector

Introduction to Digital Twin Applicability in the Energy Sector
Need for Digital Twin Technology in Conventional Power Generation
Working Mechanism of Digital Twin for Conventional Power Plants
Case Study: Digital Twin for Coal-fired Power Plant
Digital Twin Enhances the Renewable Power Plant's Adaptability to Operating Conditions
Case Study: Digital Twin to Audit Solar Power Plant Performance
Digital Twin for Power Transmission and Distribution
Asset Digital Twin Enhances Efficiency and Longevity of Power Transmission and Distribution Equipment
Grid Digital Twin Enables Optimal Grid Expansion without Compromising Resiliency
Case Study: Digital Twin Enhances Grid Economics and Resiliency