市場調查報告書
商品編碼
1284168
到2028年的電動數位孿生市場預測——按孿生類型、使用類型、部署類型、應用、最終用戶和地區進行的全球分析Electrical Digital Twin Market Forecasts to 2028 - Global Analysis By Twin Type, Usage Type, Deployment Type, Application, End User, and By Geography |
根據 Stratistics MRC 的數據,2022 年全球電動數位雙胞胎市場規模將達到 16.679 億美元,預計到 2028 年將達到 37.98 億美元,預計將以 14.7% 的複合年增長率增長。
電力數位孿生將使公用事業公司能夠簡化數據維護和交換。 使用基於標準的適配器和接口將來自不同系統的數據同步並標準化到單個多用戶數據庫中。 數據單一真實來源的準確性是電氣數位孿生的關鍵方面之一。 跨 IT 生態系統的供應商中立、基於標準、可擴展的數據維護和交換,以及用於集成分析的跨度傳輸和傳播。
根據國際能源署的數據,到 2020 年,可再生能源將佔全球發電量的 29%,高於 2019 年的 27%。 可再生能源發電預計將增長 8%,到 2021 年達到 8,300TWh。
電網運營商可以使用電力數位孿生來模擬與可靠、高效和安全的電力系統規劃、運營和維修相關的運營場景。 分佈式能源(DER)的分散化使電網運維複雜化。 因此,公用事業和電網運營商正在尋找更高效、更靈活的技術,例如電力數位孿生,以監測、控制、自動化和運營他們的電力網絡。 數位孿生可以幫助解決電網現代化項目,尤其是 DER 集成難題。 這些工具有助於評估 DER 的影響並促進電網現代化規劃、分析和設計程序。 因此,公用事業可以縮短 DER 集成過程、縮短客戶響應時間、推動具有成本效益的投資並提高運營效率,從而推動市場增長。。
儘管好處顯而易見,但一些公用事業和電網運營商尚未部署用於資產管理、業務和運營優化的數位孿生模型。 通過適當地捕捉物理特徵和模仿行為,數位孿生應該能夠模擬從基本到復雜的交互。 例如,構建電氣數位孿生需要設施經理、設計工程師、電氣工程師和設備供應商等利益相關者的大量投入,這增加了部署的複雜性。 從供應商處獲取資產數據可能很困難,因為您需要與供應鏈的不同層級密切合作。
世界各地的許多公用事業公司都在使用工業物聯網 (IIoT)、機器學習、人工智能 (AI) 和雲計算來監控和管理資產性能、智能電錶、預測性和預防性,我們開始將其納入操作,例如維護、分佈式能源 (DER) 操作和自動化,以及分佈式可再生能源發電系統的可變性規劃和分析。 數位孿生將使公用事業公司能夠預測、預測和分析眾多電力生產、輸電和配電模型以及可再生能源整合方案,不斷調整其運營以滿足不斷增長的電力需求。我能。 這些技術處於改進電氣數位孿生解決方案在公用事業中的應用並將其納入數位孿生系統建模的早期階段。
利益相關者對部署的支持有限
電氣數位孿生具有許多優勢,但數位孿生系統需要解決一些基本問題才能發揮其全部潛力。 例如,電力行業專家認為,鼓勵公用事業和電網運營商儘早採用數位技術非常重要。 電力行業的許多利益相關者最初拒絕採用,因為他們認識到與數位孿生部署的複雜性、潛在的前期成本以及集成後成功的不確定性相關的風險。
COVID-19 嚴重影響了全球經濟和能源行業,擾亂了供應鏈並壓縮了需求。 電力行業面臨著多項挑戰,包括勞動力和遠程工作的減少、商業能源需求的減少、客戶查詢的增加以及鎖定期間數位和自助服務的使用。 這些問題迫使公用事業和電網運營商對其運營進行數位化、自動化和分散化。 由於 COVID-19 造成的限製而改變的工作習慣加強了公用事業和電網運營商的數位化轉型活動。 增加對電氣數位雙胞胎等數位解決方案的投資將幫助公司維持彈性供應鍊和運營。
數位燃氣和蒸汽電廠部分將受益於燃氣和蒸汽電廠數位孿生的逐步集成,以減少燃氣和蒸汽輪機資產的排放和燃料消耗。預計將實現顯著增長。 燃氣和蒸汽發電廠的數位雙胞胎還可以幫助優化運營商策略、改善機器和設備的健康狀況,並通過績效管理提高可靠性。 此外,燃氣和蒸汽發電廠比發電設施需要更多的維護。 通過需求規劃和停電規劃,燃氣和蒸汽系統的數位孿生可以提高資產的可靠性和可用性,並幫助運營商優化維護工作和成本。
由於網絡級優化的需要,系統數位孿生細分市場有望在預測期內實現最高複合年增長率,系統數位孿生細分市場有望主導全球電氣數位孿生市場。 系統的數位雙胞胎是執行整個系統或網絡功能的一組項目和流程。 它可用於為變電站、發電廠、風電場、分佈式能源等供電。 基於生產數據的系統孿生通過提供對相互依賴的車隊的可見性和端到端資產網絡的鏈接視圖來推動市場。
由於易於獲取和適應複雜的電力解決方案以及創新發電設備的可用性,預計在預測期內北美將佔據最高的市場份額。 不斷增加的電力消耗和需求,以及在該地區建立大規模生產基地正在推動市場的增長。
由於人口密集、大規模工業化和城市化帶來的人均收入增加以及物聯網 (IoT) 的日益普及,預計亞太地區在預測期內的複合年增長率最高。預計。 此外,資源專業人士和技術供應商已開始將這一趨勢稱為“能源 4.0”,以強調這些進步將為電力行業帶來的技術變革的規模。
2023 年 4 月,西門子 LDA 和蘇爾壽宣布開展數位合作,整合各自的物聯網平台和服務 BLUE BOX (TM) 和 SIDRIVE IQ,以提高設備可靠性並降低運營成本。共同提供集成解決方案,減少
2023 年 4 月,Siemens Consortium 與 Gujarat Metro Railway Corporation 就先進鐵路電氣化技術展開合作,為艾哈邁達巴德地鐵二期和蘇拉特地鐵一期承包最先進的鐵路電氣化技術。
2023 年 4 月,GE Digital 與 Aeroxchange 合作,將商業零件接收流程數位化;我正在做。
According to Stratistics MRC, the Global Electrical Digital Twin Market is accounted for $1,667.9 million in 2022 and is expected to reach $3,798.0 million by 2028 growing at a CAGR of 14.7% during the forecast period. The Electrical Digital Twin allows utilities to streamline data upkeep and interchange. Data from disparate systems is synchronised and then standardised into a single multi-user database using standards-based adapters or interfaces. The accuracy of a single source of truth for data is one of the key aspects of the electrical digital twin. Scalable data maintenance and interchange throughout the IT ecosystem, vendor-neutral and standards-based, as well as spans transmission and dissemination for integrated analysis.
According to the International Energy Agency, the share of renewable in global electricity generation was 29% in 2020 compared with 27% in 2019. Renewable electricity generation is expected to grow by 8% to reach 8,300 TWh in 2021.
Grid operators can use electrical digital twins to simulate operational scenarios pertinent to the dependable, efficient, and secure planning, operation, and repair of electrical systems. The decentralisation of distributed energy resources (DER) complicates grid operation and maintenance. As a result, utilities and grid operators demand more efficient and speedier technologies, such as electrical digital twins, to monitor, control, automate, and run their power networks. Electrical digital twins can help with the difficulties of grid modernization projects, notably DER integration. These devices aid in assessing the impact of DER and facilitating grid modernization planning, analysis, and design procedures. As a result, utilities may shorten the process of integrating DER, improving customer response time, facilitating cost-effective investments, and increasing operational efficiency thereby encouraging the growth of the market.
Despite the obvious advantages, some utilities and grid operators have yet to implement a digital twin model for asset management as well as business and operation optimisation. A digital twin should be capable of modelling both basic and complex items and their interactions by properly capturing physical features and mimicking behaviours. For example, the construction of an electrical digital twin necessitates many inputs from operators such as facility managers, design engineers, electrical engineers, equipment vendors, and other stakeholders, which adds to the deployment's complexity. Obtaining asset data from the supplier may be difficult since it necessitates tight engagement with different layers of the supply chain.
Many electric utilities around the world have begun to incorporate the Industrial Internet of Things (IIoT), machine learning, artificial intelligence (AI), and cloud computing into their operations for asset performance monitoring and management, smart metering, predictive and prescriptive maintenance, the operation and automation of distributed energy resources (DER), and the planning and analysis of fluctuations in decentralised renewable generation systems. A digital twin allows utilities to anticipate, predict, and analyse numerous power production, transmission, and distribution models, as well as renewable energy integration scenarios, allowing them to continually adapt their operations to meet the rising demand for electricity. These technologies improve the application of electrical digital twin solutions in utilities and are in the early phases of incorporation into digital twin system modelling.
Stakeholders support for deployment is limited.
Despite the numerous advantages of electrical digital twins, some underlying issues must be addressed before digital twin systems can fully realise their potential. For example, specialists in the power industry think that encouraging early digital adoption by utilities and power system operators is critical. Many power sector stakeholders initially resisted adoption due to perceived risks associated with the complexity of digital twin deployment, potential upfront costs, and uncertainty about successful outcomes following their integration.
COVID-19 has dealt a serious blow to the world economy and the energy industry, disrupting supply chains and squeezing demand. Several challenges faced the power sector, including reduced and remote workforces, decreased commercial energy demand, increased customer calls, and the use of digital and self-service channels during lockdowns. Because of these issues, utilities and grid operators have been pushed to increase digitization, automation, and decentralisation of their operations. The shift in working habits caused by COVID-19-induced constraints has strengthened utilities and grid operator's digital transformation activities. Increased investments in digital solutions, such as electrical digital twins, would allow businesses to maintain resilient supply chains and operations.
The digital gas & steam power plant segment is estimated to have a lucrative growth, due to gradually integrating digital twins of gas and steam power plants in order to cut emissions and fuel consumption of gas and steam turbine assets. Through performance management, digital twins of gas and steam power plants can also help operators optimise their strategies, improve machine and equipment health, and increase reliability. Furthermore, gas and steam power plants require more maintenance than power generation facilities. Through demand and outage planning, a digital twin of the gas and steam system may assist the operator in improving asset dependability and availability, as well as optimising maintenance operations and costs.
The system digital twin segment is anticipated to witness the highest CAGR growth during the forecast period, due to because of the necessity for network-level optimisation; the system digital twin sector is likely to dominate the worldwide electrical digital twin market. The digital twin of a system is a set of goods and processes that execute system or network-wide functions. It may be used to power substations, power plants, wind farms, and distributed energy resources. Based on real operating data, the system twin gives visibility into a group of interdependent equipment as well as a linked perspective of the end-to-end network of assets which drives the market.
North America is projected to hold the highest market share during the forecast period owing to its simple access and adaptability to sophisticated power solutions, as well as the availability of innovative generation facilities. Increasing power consumption and demand, along with the establishment of bulk manufacturing locations in this region are propelling the growth of the market.
Asia-Pacific is projected to have the highest CAGR over the forecast period, owing to dense population, rising per capita income as a result of large-scale industrialization and urbanisation, and increased adoption of internet of things (IoT). Furthermore, resources professionals and suppliers of technology have begun to refer to this trend as Energy 4.0 to emphasise the enormity of the technological change that these advancements will bring to the electrical power industry.
Some of the key players profiled in the Electrical Digital Twin Market include Siemens, General Electric, AVEVA Group, Emerson, Wipro, SAP, Bentley Systems, Etteplan, CPD Services, ABB, Schneider Electric, SAS Institute, IBM, Fujitsu, Hexagon PPM, Dassault Systemes, Microsoft and Robert Bosch GmbH
In April 2023, Siemens LDA and Sulzer announce digital collaboration bringing together their respective IoT-platforms and services, BLUE BOX™ and SIDRIVE IQ, the two companies are collaborating to deliver an integrated solution that improves equipment reliability and cuts operations costs.
In April 2023, Siemens consortium partners with Gujarat Metro Rail Corporation for advanced rail electrification technologies, Contracts include state-of-the-art rail electrification technologies for the Ahmedabad Metro Phase 2 and the Surat Metro Phase 1.
In April 2023, GE Digital Partners With Aeroxchange to Digitize Commercial Parts Receiving Process, The integration of GE Digital's Asset Records software with Aeroxchange's cloud-based products is designed to streamline document management and improve efficiency.