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到2028年的电动数位孪生市场预测——按孪生类型、使用类型、部署类型、应用、最终用户和地区进行的全球分析Electrical Digital Twin Market Forecasts to 2028 - Global Analysis By Twin Type, Usage Type, Deployment Type, Application, End User, and By Geography |
根据 Stratistics MRC 的数据,2022 年全球电动数位双胞胎市场规模将达到 16.679 亿美元,预计到 2028 年将达到 37.98 亿美元,预计将以 14.7% 的复合年增长率增长。
电力数位孪生将使公用事业公司能够简化数据维护和交换。 使用基于标准的适配器和接口将来自不同系统的数据同步并标准化到单个多用户数据库中。 数据单一真实来源的准确性是电气数位孪生的关键方面之一。 跨 IT 生态系统的供应商中立、基于标准、可扩展的数据维护和交换,以及用于集成分析的跨度传输和传播。
根据国际能源署的数据,到 2020 年,可再生能源将占全球发电量的 29%,高于 2019 年的 27%。 可再生能源发电预计将增长 8%,到 2021 年达到 8,300TWh。
电网运营商可以使用电力数位孪生来模拟与可靠、高效和安全的电力系统规划、运营和维修相关的运营场景。 分布式能源(DER)的分散化使电网运维复杂化。 因此,公用事业和电网运营商正在寻找更高效、更灵活的技术,例如电力数位孪生,以监测、控制、自动化和运营他们的电力网络。 数位孪生可以帮助解决电网现代化项目,尤其是 DER 集成难题。 这些工具有助于评估 DER 的影响并促进电网现代化规划、分析和设计程序。 因此,公用事业可以缩短 DER 集成过程、缩短客户响应时间、推动具有成本效益的投资并提高运营效率,从而推动市场增长。。
儘管好处显而易见,但一些公用事业和电网运营商尚未部署用于资产管理、业务和运营优化的数位孪生模型。 通过适当地捕捉物理特征和模仿行为,数位孪生应该能够模拟从基本到復杂的交互。 例如,构建电气数位孪生需要设施经理、设计工程师、电气工程师和设备供应商等利益相关者的大量投入,这增加了部署的复杂性。 从供应商处获取资产数据可能很困难,因为您需要与供应链的不同层级密切合作。
世界各地的许多公用事业公司都在使用工业物联网 (IIoT)、机器学习、人工智能 (AI) 和云计算来监控和管理资产性能、智能电錶、预测性和预防性,我们开始将其纳入操作,例如维护、分布式能源 (DER) 操作和自动化,以及分布式可再生能源发电系统的可变性规划和分析。 数位孪生将使公用事业公司能够预测、预测和分析众多电力生产、输电和配电模型以及可再生能源整合方案,不断调整其运营以满足不断增长的电力需求。我能。 这些技术处于改进电气数位孪生解决方案在公用事业中的应用并将其纳入数位孪生系统建模的早期阶段。
利益相关者对部署的支持有限
电气数位孪生具有许多优势,但数位孪生系统需要解决一些基本问题才能发挥其全部潜力。 例如,电力行业专家认为,鼓励公用事业和电网运营商儘早采用数位技术非常重要。 电力行业的许多利益相关者最初拒绝采用,因为他们认识到与数位孪生部署的复杂性、潜在的前期成本以及集成后成功的不确定性相关的风险。
COVID-19 严重影响了全球经济和能源行业,扰乱了供应链并压缩了需求。 电力行业面临着多项挑战,包括劳动力和远程工作的减少、商业能源需求的减少、客户查询的增加以及锁定期间数位和自助服务的使用。 这些问题迫使公用事业和电网运营商对其运营进行数位化、自动化和分散化。 由于 COVID-19 造成的限製而改变的工作习惯加强了公用事业和电网运营商的数位化转型活动。 增加对电气数位双胞胎等数位解决方案的投资将帮助公司维持弹性供应炼和运营。
数位燃气和蒸汽电厂部分将受益于燃气和蒸汽电厂数位孪生的逐步集成,以减少燃气和蒸汽轮机资产的排放和燃料消耗。预计将实现显着增长。 燃气和蒸汽发电厂的数位双胞胎还可以帮助优化运营商策略、改善机器和设备的健康状况,并通过绩效管理提高可靠性。 此外,燃气和蒸汽发电厂比发电设施需要更多的维护。 通过需求规划和停电规划,燃气和蒸汽系统的数位孪生可以提高资产的可靠性和可用性,并帮助运营商优化维护工作和成本。
由于网络级优化的需要,系统数位孪生细分市场有望在预测期内实现最高复合年增长率,系统数位孪生细分市场有望主导全球电气数位孪生市场。 系统的数位双胞胎是执行整个系统或网络功能的一组项目和流程。 它可用于为变电站、发电厂、风电场、分布式能源等供电。 基于生产数据的系统孪生通过提供对相互依赖的车队的可见性和端到端资产网络的链接视图来推动市场。
由于易于获取和适应复杂的电力解决方案以及创新发电设备的可用性,预计在预测期内北美将占据最高的市场份额。 不断增加的电力消耗和需求,以及在该地区建立大规模生产基地正在推动市场的增长。
由于人口密集、大规模工业化和城市化带来的人均收入增加以及物联网 (IoT) 的日益普及,预计亚太地区在预测期内的复合年增长率最高。预计。 此外,资源专业人士和技术供应商已开始将这一趋势称为“能源 4.0”,以强调这些进步将为电力行业带来的技术变革的规模。
2023 年 4 月,西门子 LDA 和苏尔寿宣布开展数位合作,整合各自的物联网平台和服务 BLUE BOX (TM) 和 SIDRIVE IQ,以提高设备可靠性并降低运营成本。共同提供集成解决方案,减少
2023 年 4 月,Siemens Consortium 与 Gujarat Metro Railway Corporation 就先进铁路电气化技术展开合作,为艾哈迈达巴德地铁二期和苏拉特地铁一期承包最先进的铁路电气化技术。
2023 年 4 月,GE Digital 与 Aeroxchange 合作,将商业零件接收流程数位化;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.