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市场调查报告书
商品编码
1456993

全球自癒电网市场 - 2024 年至 2029 年预测

Global Self-Healing Grid Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 135 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

自癒电网市场预计将从 2022 年的 3,378,609,000 美元增加到 2029 年的 8,765,106,000 美元，预测期内复合年增长率为 14.59%。

对自动化和智慧解决方案和技术的需求不断增长，是由于行业标准的提高以及行业相关人员对降低整体成本的兴趣日益浓厚。

随着行业标准的提高以及行业对产品和解决方案的需求的增加，越来越多的公司正在提供最先进的自动化解决方案来有效解决问题。负责电力管理、控製配电和输电的配电网，随着基础设施老化，也面临各种挑战。

此外，电网公司和业主越来越有兴趣采用环保、节能、节省成本的自动化解决方案，以最大限度地减少维护和人事费用成本。此外，随着火力发电和太阳能发电等其他能源正在融入电网和电网系统，最终用户正在努力遵守行业标准和法规并采用自我修復解决方案。因此，这些因素正在推动预测期内的市场成长。

市场驱动力

  • 可再生能源需求

可再生能源，特别是风能和太阳能等能源来源的采用正在增加，但其间歇性带来了挑战。 2021年，可再生能源将占发电量的28%，预计2023年这一数字将上升至30.2%。值得注意的是，根据 iea.org 报导，到 2024 年，风能和太阳能发电总量预计将超过水力发电。这些再生能源来源的间歇性需要创新的解决方案。

具有先进资料分析和控制系统的自我修復电网对于有效整合这些不稳定的能源来源至关重要。透过动态调整电网运作和优化能源流，自我修復电网有助于向低碳未来的平稳过渡。这项能力解决了可再生能源间歇性所带来的挑战，并确保了更稳定和有弹性的能源基础设施。

  • 自然灾害期间电网自癒的可行性

随着世界人口不断增长，对电力的依赖不断增加，自然事件期间电网的自我修復能力变得越来越重要。在这种情况下，确保稳定可靠的电力供应至关重要。自癒电网具有快速故障隔离和旁路功能，在最大限度地减少停电和停机时间方面发挥着至关重要的作用。其结果是增强了电网的弹性并提高了整体能源安全。

自癒电网越来越多地被采用，因为它们在自然灾害期间很有用。例如，佛罗里达州部署的智慧自癒技术展示了其在强风暴期间自动恢復超过 16 万名客户停电的能力。这不仅凸显了该技术的即时能力，而且还凸显了其在显着减少停电次数方面的作用。在该具体案例中，总合节省了约330万小时（相当于约2亿分钟）的停电时间。

杜克能源公司为其佛罗里达州约 59% 的客户提供主配电线路自愈功能，使其成为气候变迁期间成功应用的杰出范例。该公司的目标是在未来几年内扩大覆盖范围并覆盖约 80% 的客户。这个例子强调了自癒电网技术在应对自然现象和气候变迁所带来的挑战的实用化。

市场限制因素：

  • 缺乏必要的基础设施和支援技术

自癒电网也是用于改善世界各地部署的智慧电网解决方案功能的补充和改进之一，使相关流程更加高效。然而，实施自癒技术和自癒电网需要大量的初始投资和熟练的劳动力来维持各种功能。这在许多低收入国家和地区是不可能的，因为它们缺乏必要的基础设施和技术纯熟劳工。因此，此因素在预测期内成长抑制因素。

自癒电网市场按输配电应用细分。

自癒电网市场按应用细分，特别是输电和配电领域。电力传输领域的重点是利用先进的感测器、即时通讯网路和先进的控制系统来实现快速故障识别和隔离。同时，配电正广泛采用智慧电网技术，包括智慧电錶、分散式智慧和自癒微电网。

预计北美将在全球自癒市场中占据主要份额。

由于输电和配电损耗增加，电网所有者加速采用该技术，预计北美地区在预测期内将占据很大份额。由于此类系统在美国等各州的迅速采用，预计北美地区将在整个预测期内占据重要的市场占有率。根据美国能源资讯署提供的资料和统计，透过电网输配电的功率损耗估计约为5%。此外，市场参与企业正在增加投资以提供先进和增强的解决方案，以使配电网路管理更加自动化和高效。

市场开拓：

  • 2023 年 10 月－着名永续能源公司、Iberdrola 集团成员 Avangrid, Inc. 透露，其子公司 Central Maine Power (CMP) 已成功获得 3,000 万美元补助。这笔津贴由美国能源局电网实施办公室授予，作为电网弹性和创新合作伙伴 (GRIP) 计划的一部分，旨在引入新技术。
  • 2023 年 8 月 - GE Vernova 数位业务宣布收购专门从事电力公用事业资料整合平台的 Greenbird Integration Technology AS。这项策略性倡议凸显了 GE Vernova 致力于投资技术和人才，旨在加速永续能源网路的发展。收购的平台为 GridOS® 提供支持，GridOS® 是世界上第一个专门用于网格编配的软体组合。
  • 2022 年 11 月 - 西门子智慧基础设施将与 SEW 合作，改善全球公用事业智慧电錶用户的体验，加速迈向 100%可再生世界。此次合作将使西门子的 EnergyIP(R) 仪表资料管理软体与 SEW 的智慧型客户移动 (SCM(R)) 数位客户体验平台之间实现顺畅的端到端流程，并调整了介面和工作流程。这项策略合作伙伴关係旨在改善客户和员工体验，并为公共产业公司打造数位化先进环境。

目录

第一章 简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现
  • 分析师观点

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章全球自癒电网市场：依应用分类

  • 介绍
  • 电力传输
    • 市场机会和趋势
    • 成长前景
    • 地域盈利
  • 电力调配
    • 市场机会和趋势
    • 成长前景
    • 地理收益

第六章全球自癒电网市场：按电网整合来源

  • 介绍
  • 传统的
    • 市场机会和趋势
    • 成长前景
    • 地理收益
  • 非传统的
    • 市场机会和趋势
    • 成长前景
    • 地域盈利

第七章全球自癒电网市场：按地区

  • 介绍
  • 北美洲
    • 按用途
    • 按网格整合来源
    • 按国家/地区
  • 南美洲
    • 按用途
    • 按网格整合来源
    • 按国家/地区
  • 欧洲
    • 按用途
    • 按网格整合来源
    • 按国家/地区
  • 中东/非洲
    • 按用途
    • 按网格整合来源
    • 按国家/地区
  • 亚太地区
    • 按用途
    • 按网格整合来源
    • 按国家/地区

第八章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第九章 公司简介

  • ABB
  • Siemens
  • Cisco Systems, Inc.
  • General Electric Company
  • Eaton
  • Schneider Electric
  • S&C Electric Company
  • Itron
  • IBM Corporation
简介目录
Product Code: KSI061611320

Global Self-Healing Grid Market is estimated to grow at a CAGR of 14.59% during the forecast period to reach US$8765.106 million by 2029, from US$3378.609 million in 2022.

The increasing requirement for automation and smart solutions and technologies is due to improving industry standards and the rising concerns among the industry players to reduce overall costs.

The industry standards are improving, and the product and solution requirements of the different industries are also rising, which is encouraging companies to provide automated solutions with recent technologies to deal with problems effectively. The power distribution grid, which is responsible for the management of power and controls the distribution and transmission of power, is also facing different challenges as the infrastructure gets older.

Moreover, there are rising concerns among power grid companies and owners to adopt eco-friendly, energy-saving, and cost-saving automation solutions to minimize the burden of maintenance and labor costs. Also, as other power sources are being integrated into the distribution and power grid systems, such as thermal power, and solar power among others, the end-users are struggling to adhere to the industry standards and regulations and adopt self-healing solutions. Therefore, these factors are causing the market's growth to propel over the forecast period.

Market Drivers:

  • Demand for renewable energy sources-

The increasing adoption of renewable energy, especially from sources like wind and solar, poses challenges due to their intermittent nature. In 2021, renewables accounted for 28% of electricity production, a figure expected to rise to 30.2% in 2023. Notably, by 2024, the combined electricity generation from wind and solar PV is projected to surpass that from hydropower, as reported by iea.org. The intermittent nature of these renewable sources necessitates innovative solutions.

Self-healing grids, equipped with advanced data analytics and control systems, emerge as crucial in effectively integrating these volatile energy sources. Through dynamic adjustments in grid operations and optimization of energy flow, self-healing grids facilitate a smoother transition to a low-carbon future. This capability addresses the challenges posed by the intermittency of renewable energy, ensuring a more stable and resilient energy infrastructure.

  • The viability of self-healing grids during natural occurrences-

The viability of self-healing grids during natural occurrences becomes increasingly crucial as the global population grows, and dependence on electricity continues to rise. Ensuring a stable and reliable power supply becomes paramount in this scenario. Self-healing grids, with their rapid fault isolation and bypass capabilities, play a pivotal role in minimizing outages and downtime. This, in turn, enhances grid resilience and improves overall energy security.

The growing adoption of self-healing grids can be attributed to their effectiveness during natural events. For instance, smart, self-healing technology implemented in Florida demonstrated its capabilities by automatically restoring over 160,000 customer outages during a powerful storm. This not only highlights the real-time responsiveness of the technology but also emphasizes its role in saving significant outage time. In this specific case, nearly 3.3 million hours (equivalent to nearly 200 million minutes) of total outage time were preserved.

Duke Energy, serving approximately 59% of customers in Florida with self-healing capabilities on its primary power distribution lines, serves as a notable example of successful utilization during climatic events. The company aims to expand this coverage, with a goal of reaching around 80% of customers in the coming years. This example underscores the practical application of self-healing grid technology in addressing challenges posed by natural occurrences and climatic events.

Market Restraint:

  • The lack of required infrastructure and supported technologies-

Self-healing grids are also one of the additional features and advancements that are used to improve the functionality of smart grid solutions that are being deployed in various countries around the world in order to make the related process more efficient. However, deploying self-healing technology or self-healing grids requires a significant initial investment as well as skilled labour to maintain the various features. This is not possible in many of the low-income counties and regions, as there is an unavailability of the required infrastructure and a lack of a skilled workforce in many of them. Hence, this factor poses a restraint on the self-healing market growth over the forecast period.

The Global Self-Healing Grid Market is segmented by application, into Power Transmission and Power Distribution

The Global Self-Healing Grid Market is segmented by application, specifically into Power Transmission and Power Distribution. In Power Transmission, there is a focus on leveraging advanced sensors, real-time communication networks, and sophisticated control systems to enable rapid fault identification and isolation. On the other hand, in Power Distribution, a broad spectrum of smart grid technologies is employed, encompassing smart meters, distributed intelligence, and self-healing microgrids.

North America is anticipated to hold a significant share of the Global Self-healing market-

The North American region is expected to have a significant share over the forecast period due to faster adoption by power grid owners as transmission and distribution losses increase. The North American region is expected to hold a significant market share throughout the forecast period because the adoption of such systems is growing faster in different states of countries such as the United States. This is because the power losses in the transmission and distribution of electricity via the power grid are estimated to be around 5%, according to the data and statistics provided by the U.S. Energy Information Administration. Furthermore, market participants are increasing their investments to provide advanced and enhanced solutions to make distribution grid management more automated and efficient.

Market Developments:

  • October 2023- Avangrid, Inc., a prominent sustainable energy company and a member of the Iberdrola Group, revealed that its subsidiary, Central Maine Power (CMP), successfully obtained a $30 million grant. This grant, awarded by the U.S. Department of Energy's Grid Deployment Office as part of the Grid Resilience and Innovation Partnerships (GRIP) program, is intended for the implementation of new technologies. These technologies encompass advanced grid restoration (AGR) and sequential reclosing (SR).
  • August 2023- GE Vernova's Digital business confirmed the acquisition of Greenbird Integration Technology AS, a company specializing in data integration platforms for utilities. This strategic move underscores GE Vernova's dedication to investing in both technologies and talent aimed at expediting the development of a sustainable energy grid. The acquired platform is set to enhance GridOS(R), recognized as the world's inaugural software portfolio tailored for grid orchestration. The addition of new capabilities will facilitate the seamless and scalable connection of systems, as well as the integration of data across the grid.
  • November 2022- Siemens Smart Infrastructure collaborated with SEW to enhance the experiences of utility smart meter users globally and expedite the journey towards achieving a 100 percent renewable world. The collaboration involved aligning interfaces and workflows to ensure a smooth, end-to-end process between Siemens' EnergyIP(R) Meter Data Management software and SEW's Smart Customer Mobile (SCM(R)) digital customer experience platform. This strategic partnership aimed to improve customer and workforce experiences, for digitally advanced landscape for utilities.

Market Segmentation:

By Application

  • Power Transmission
  • Power Distribution

By Grid Integration Source

  • Conventional
  • Non-Conventional

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Indonesia
  • Thailand
  • Taiwan
  • Australia
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline
  • 1.8. Key benefits to the stakeholder

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. Analyst View

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. GLOBAL SELF-HEALING GRID MARKET BY APPLICATION

  • 5.1. Introduction
  • 5.2. Power Transmission
    • 5.2.1. Market opportunities and trends
    • 5.2.2. Growth prospects
    • 5.2.3. Geographic lucrativeness
  • 5.3. Power Distribution
    • 5.3.1. Market opportunities and trends
    • 5.3.2. Growth prospects
    • 5.3.3. Geographic lucrativeness

6. GLOBAL SELF-HEALING GRID MARKET BY GRID INTEGRATION SOURCE

  • 6.1. Introduction
  • 6.2. Conventional
    • 6.2.1. Market opportunities and trends
    • 6.2.2. Growth prospects
    • 6.2.3. Geographic lucrativeness
  • 6.3. Non-conventional
    • 6.3.1. Market opportunities and trends
    • 6.3.2. Growth prospects
    • 6.3.3. Geographic lucrativeness

7. GLOBAL SELF-HEALING GRID MARKET BY GEOGRAPHY

  • 7.1. Introduction
  • 7.2. North America
    • 7.2.1. By Application
    • 7.2.2. By Grid Integration Source
    • 7.2.3. By Country
      • 7.2.3.1. United States
        • 7.2.3.1.1. Market Trends and Opportunities
        • 7.2.3.1.2. Growth Prospects
      • 7.2.3.2. Canada
        • 7.2.3.2.1. Market Trends and Opportunities
        • 7.2.3.2.2. Growth Prospects
      • 7.2.3.3. Mexico
        • 7.2.3.3.1. Market Trends and Opportunities
        • 7.2.3.3.2. Growth Prospects
  • 7.3. South America
    • 7.3.1. By Application
    • 7.3.2. By Grid Integration Source
    • 7.3.3. By Country
      • 7.3.3.1. Brazil
        • 7.3.3.1.1. Market Trends and Opportunities
        • 7.3.3.1.2. Growth Prospects
      • 7.3.3.2. Argentina
        • 7.3.3.2.1. Market Trends and Opportunities
        • 7.3.3.2.2. Growth Prospects
      • 7.3.3.3. Others
        • 7.3.3.3.1. Market Trends and Opportunities
        • 7.3.3.3.2. Growth Prospects
  • 7.4. Europe
    • 7.4.1. By Application
    • 7.4.2. By Grid Integration Source
    • 7.4.3. By Country
      • 7.4.3.1. Germany
        • 7.4.3.1.1. Market Trends and Opportunities
        • 7.4.3.1.2. Growth Prospects
      • 7.4.3.2. France
        • 7.4.3.2.1. Market Trends and Opportunities
        • 7.4.3.2.2. Growth Prospects
      • 7.4.3.3. United Kingdom
        • 7.4.3.3.1. Market Trends and Opportunities
        • 7.4.3.3.2. Growth Prospects
      • 7.4.3.4. Spain
        • 7.4.3.4.1. Market Trends and Opportunities
        • 7.4.3.4.2. Growth Prospects
      • 7.4.3.5. Others
        • 7.4.3.5.1. Market Trends and Opportunities
        • 7.4.3.5.2. Growth Prospects
  • 7.5. Middle East and Africa
    • 7.5.1. By Application
    • 7.5.2. By Grid Integration Source
    • 7.5.3. By Country
      • 7.5.3.1. Saudi Arabia
        • 7.5.3.1.1. Market Trends and Opportunities
        • 7.5.3.1.2. Growth Prospects
      • 7.5.3.2. UAE
        • 7.5.3.2.1. Market Trends and Opportunities
        • 7.5.3.2.2. Growth Prospects
      • 7.5.3.3. Israel
        • 7.5.3.3.1. Market Trends and Opportunities
        • 7.5.3.3.2. Growth Prospects
      • 7.5.3.4. Others
        • 7.5.3.4.1. Market Trends and Opportunities
        • 7.5.3.4.2. Growth Prospects
  • 7.6. Asia Pacific
    • 7.6.1. By Application
    • 7.6.2. By Grid Integration Source
    • 7.6.3. By Country
      • 7.6.3.1. Japan
        • 7.6.3.1.1. Market Trends and Opportunities
        • 7.6.3.1.2. Growth Prospects
      • 7.6.3.2. China
        • 7.6.3.2.1. Market Trends and Opportunities
        • 7.6.3.2.2. Growth Prospects
      • 7.6.3.3. India
        • 7.6.3.3.1. Market Trends and Opportunities
        • 7.6.3.3.2. Growth Prospects
      • 7.6.3.4. South Korea
        • 7.6.3.4.1. Market Trends and Opportunities
        • 7.6.3.4.2. Growth Prospects
      • 7.6.3.5. Indonesia
        • 7.6.3.5.1. Market Trends and Opportunities
        • 7.6.3.5.2. Growth Prospects
      • 7.6.3.6. Thailand
        • 7.6.3.6.1. Market Trends and Opportunities
        • 7.6.3.6.2. Growth Prospects
      • 7.6.3.7. Taiwan
        • 7.6.3.7.1. Market Trends and Opportunities
        • 7.6.3.7.2. Growth Prospects
      • 7.6.3.8. Australia
        • 7.6.3.8.1. Market Trends and Opportunities
        • 7.6.3.8.2. Growth Prospects
      • 7.6.3.9. Others
        • 7.6.3.9.1. Market Trends and Opportunities
        • 7.6.3.9.2. Growth Prospects

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Market Share Analysis
  • 8.3. Mergers, Acquisition, Agreements, and Collaborations
  • 8.4. Competitive Dashboard

9. COMPANY PROFILES

  • 9.1. ABB
  • 9.2. Siemens
  • 9.3. Cisco Systems, Inc.
  • 9.4. General Electric Company
  • 9.5. Eaton
  • 9.6. Schneider Electric
  • 9.7. S&C Electric Company
  • 9.8. Itron
  • 9.9. IBM Corporation