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市場調查報告書
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1456993

全球自癒電網市場 - 2024 年至 2029 年預測

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個工作天內

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簡介目錄

自癒電網市場預計將從 2022 年的 3,378,609,000 美元增加到 2029 年的 8,765,106,000 美元，預測期內複合年成長率為 14.59%。

對自動化和智慧解決方案和技術的需求不斷成長，是由於行業標準的提高以及行業相關人員對降低整體成本的興趣日益濃厚。

隨著行業標準的提高以及行業對產品和解決方案的需求的增加，越來越多的公司正在提供最先進的自動化解決方案來有效解決問題。負責電力管理、控制配電和輸電的配電網，隨著基礎設施老化，也面臨各種挑戰。

此外，電網公司和業主越來越有興趣採用環保、節能、節省成本的自動化解決方案，以最大限度地減少維護和人事費用成本。此外，隨著火力發電和太陽能發電等其他能源正在融入電網和電網系統，最終用戶正在努力遵守行業標準和法規並採用自我修復解決方案。因此，這些因素正在推動預測期內的市場成長。

市場驅動力

  • 可再生能源需求

可再生能源，特別是風能和太陽能等能源來源的採用正在增加，但其間歇性帶來了挑戰。 2021年，可再生能源將佔發電量的28%，預計2023年這一數字將上升至30.2%。值得注意的是，根據 iea.org 報導，到 2024 年，風能和太陽能發電總量預計將超過水力發電。這些再生能源來源的間歇性需要創新的解決方案。

具有先進資料分析和控制系統的自我修復電網對於有效整合這些不穩定的能源來源至關重要。透過動態調整電網運作和最佳化能源流，自我修復電網有助於向低碳未來的平穩過渡。這項能力解決了可再生能源間歇性所帶來的挑戰，並確保了更穩定和有彈性的能源基礎設施。

  • 自然災害期間電網自癒的可行性

隨著世界人口不斷成長，對電力的依賴不斷增加，自然事件期間電網的自我修復能力變得越來越重要。在這種情況下，確保穩定可靠的電力供應至關重要。自癒電網具有快速故障隔離和旁路功能，在最大限度地減少停電和停機時間方面發揮著至關重要的作用。其結果是增強了電網的彈性並提高了整體能源安全。

自癒電網擴大被採用，因為它們在自然災害期間很有用。例如，佛羅裡達州部署的智慧自癒技術展示了其在強風暴期間自動恢復超過 16 萬名客戶停電的能力。這不僅凸顯了該技術的即時能力，而且還凸顯了其在顯著減少停電次數方面的作用。在該具體案例中，總合節省了約330萬小時（相當於約2億分鐘）的停電時間。

杜克能源公司為其佛羅裡達州約 59% 的客戶提供主配電線路自癒功能，使其成為氣候變遷期間成功應用的傑出範例。該公司的目標是在未來幾年內擴大覆蓋範圍並覆蓋約 80% 的客戶。這個例子強調了自癒電網技術在應對自然現象和氣候變遷所帶來的挑戰的實用化。

市場限制因素：

  • 缺乏必要的基礎設施和支援技術

自癒電網也是用於改善世界各地部署的智慧電網解決方案功能的補充和改進之一，使相關流程更加高效。然而，實施自癒技術和自癒電網需要大量的初始投資和熟練的勞動力來維持各種功能。這在許多低收入國家和地區是不可能的，因為它們缺乏必要的基礎設施和技術純熟勞工。因此，此因素在預測期內成長抑制因素。

自癒電網市場按輸配電應用細分。

自癒電網市場按應用細分，特別是輸電和配電領域。電力傳輸領域的重點是利用先進的感測器、即時通訊網路和先進的控制系統來實現快速故障識別和隔離。同時，配電正廣泛採用智慧電網技術，包括智慧電錶、分散式智慧和自癒微電網。

預計北美將在全球自癒市場中佔據主要佔有率。

由於輸電和配電損耗增加，電網所有者加速採用該技術，預計北美地區在預測期內將佔據很大佔有率。由於此類系統在美國等各州的迅速採用，預計北美地區將在整個預測期內佔據重要的市場佔有率。根據美國能源資訊署提供的資料和統計，透過電網輸配電的功率損耗估計約為5%。此外，市場參與企業正在增加投資以提供先進和增強的解決方案，以使配電網路管理更加自動化和高效。

市場開拓：

  • 2023 年 10 月－著名永續能源公司、Iberdrola 集團成員 Avangrid, Inc. 透露，其子公司 Central Maine Power (CMP) 已成功獲得 3,000 萬美元補助。這筆津貼由美國能源局電網實施辦公室授予，作為電網彈性和創新合作夥伴 (GRIP) 計劃的一部分，旨在引入新技術。
  • 2023 年 8 月 - GE Vernova 數位業務宣布收購專門從事電力公用事業資料整合平台的 Greenbird Integration Technology AS。這項策略性舉措凸顯了 GE Vernova 致力於投資技術和人才，旨在加速永續能源網路的發展。收購的平台為 GridOS® 提供支持，GridOS® 是世界上第一個專門用於網格編配的軟體組合。
  • 2022 年 11 月 - 西門子智慧基礎設施將與 SEW 合作，改善全球公用事業智慧電錶用戶的體驗，加速邁向 100%可再生世界。此次合作將使西門子的 EnergyIP(R) 儀表資料管理軟體與 SEW 的智慧型客戶移動 (SCM(R)) 數位客戶體驗平台之間實現順暢的端到端流程，並調整了介面和工作流程。這項策略合作夥伴關係旨在改善客戶和員工體驗，並為公共產業公司打造數位化先進環境。

目錄

第1章 簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現
  • 分析師觀點

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章全球自癒電網市場：依應用分類

  • 介紹
  • 電力傳輸
    • 市場機會和趨勢
    • 成長前景
    • 地域盈利
  • 電力調配
    • 市場機會和趨勢
    • 成長前景
    • 地理收益

第6章全球自癒電網市場：按電網整合來源

  • 介紹
  • 傳統的
    • 市場機會和趨勢
    • 成長前景
    • 地理收益
  • 非傳統的
    • 市場機會和趨勢
    • 成長前景
    • 地域盈利

第7章全球自癒電網市場：按地區

  • 介紹
  • 北美洲
    • 按用途
    • 按網格整合來源
    • 按國家/地區
  • 南美洲
    • 按用途
    • 按網格整合來源
    • 按國家/地區
  • 歐洲
    • 按用途
    • 按網格整合來源
    • 按國家/地區
  • 中東/非洲
    • 按用途
    • 按網格整合來源
    • 按國家/地區
  • 亞太地區
    • 按用途
    • 按網格整合來源
    • 按國家/地區

第8章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭對手儀表板

第9章 公司簡介

  • ABB
  • Siemens
  • Cisco Systems, Inc.
  • General Electric Company
  • Eaton
  • Schneider Electric
  • S&C Electric Company
  • Itron
  • IBM Corporation
簡介目錄
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