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1、THE BUZ Z ABOUT ENERGY DATA&WHERE TO FIND ITFacilitating cross-sectoral exchange of energy data2023KURT BAESPartner,Energy&UtilitiesB SAM CLAUWAERTManager,Energy&UtilitiesB IRENE MACCHIARELLIPartner,Energy&UtilitiesR NELE VANDE VELDEBusiness Analyst,Energy&UtilitiesBCONTENTEXECUTIVE SUMMARY 31.MAXED
2、-OUT GRIDS&NEW OPPORTUNITIES DRIVE DEMAND,NEW INITIATIVES FOR ENERGY DATA 42.WHERE TO FIND PROMISING ENERGY DATA SOURCES 83.DESIGNING A FUTURE-READY SMART METERING LANDSCAPE 104.UNLOCKING ENERGY DATA A GOVERNANCE VIEW 125.UNLOCKING ENERGY DATA SMART METER ARCHITECTURE VIEW 14CONCLUSION 162EXPLORING
3、OPPORTUNITIES IN ENERGY DATAIncreased electrification across society to meet climate targets,paired with European and local legislation,has put pressure on every level of the grid,while creating opportunities for existing and new market players.In addition,end consumers are looking for active opport
4、unities to valorize their energy-efficiency investments,like solar photovoltaic(PV),heat pumps,electric boilers,and home batteries.Service providers are eagerly scouting for new opportunities to create value by leveraging the skyrocketing amounts of data that accompany these changes.Although the opp
5、ortunities for commercial energy market players to offer energy services are vast,one key barrier is preventing fast innovation:access to energy data.The demand from existing and new market players has increased steadily and continually and will continue to do so.In this Report,we identify systems a
6、nd parties who are trying to retrieve the data and explore relevant energy data use cases.We examine these cases through three different lenses:how to facilitate energy data access through smart meters,how to meet governance requirements,and finally how to incorporate the IT system perspective.The o
7、pportunities are indeed huge catching and exploring them is the challenge.E XECUTIVE SUMMARYARTHUR D.LITTLE31.MA XED-OUT GRIDS&NE W OPP ORTUNITIES DRIVE DEMAND,NE W INITIATIVES FOR ENERGY DATAThe energy transition is driving the uptake of renewable energy sources and the electrification of overall e
8、nergy demand.The resulting steep increase of intermittent energy production and new electric loads are putting pressure on every voltage level in our energy networks(see sidebar“Addressing the problems of increased consumption and renewable energy”).Legacy gold-plated distribution networks have reac
9、hed their limits of capacity,pushing many distribution system operators(DSOs)and transmission system operators(TSOs)into unknown territory,as the focus shifts away from maintenance and toward new asset investments and digital innovations.Indeed,the energy transition is attracting many new players to
10、 the game who are putting increased pressure on the grid players to access and draw insights from data that measures energy consumption.These constraints not only limit the economic growth potential of certain regions;they also hamper the energy transition as clean energy struggles to find its way t
11、o the grid.Meanwhile,new loads for e-mobility,like charge poles,and data center infrastructure are being impeded in already highly regulated areas.Germany and Luxembourg predict congestion risks in the near future,while Denmark and Italy have already experienced grid congestion from renewable energy
12、 overgeneration.Denmark now limits its renewable energy generation,and Italy plans to double investments in renovation and grid digitization.The Netherlands has experienced regional events where new connections were prohibited due to capacity shortages on the high-and medium-voltage levels.Upscaling
13、 the physical grid infrastructure to increase capacity is labor-and cost-intensive and requires multiple years of development.Therefore,more and more TSOs and DSOs are investigating a complementary strategy of activating congestion management where consumers agree to shift consumption and injection
14、at peak moments in exchange for compensation.To facilitate correct compensation for low-voltage congestion management,smart meters are essential to providing insight of household consumption on a granular time-of-use basis.Addressing the problems of increased consumption and renewable energySource:A
15、rthur D.LittleFigure A.Highlights of Europes energy congestion-related problemsGermany&LuxembourgThe NetherlandsDenmarkPredicted congestion risksNew connections blockedRenewable energy production haltedEnergy grid stress tests show substantial risks for future congestionCapacity shortages led large
16、energy consumers&producers to go on waiting list before they could connect to gridCapacity of grid is sometimes too limited to transport all produced renewable energy,so energy producers need to pause itItalyGenerating renewable energy overloads the gridIncreased generation of renewable energy cause
17、s overload of grid&congestion,visible by electricity interruptions&overheating of infrastructureFigure A.Highlights of Europes energy congestion-related problemsSource:Arthur D.Little4REPORT:THE BUZZ ABOUT ENERGY DATA&WHERE TO FIND ITARTHUR D.LITTLEFigure 1.Energy market dynamics and energy data usa
18、geNew players entering the market can help enable the ecosystem to resolve the emerging grid challenges.They can offer services to manage energy consumption,which provides greater insight for the end clients and market parties,ultimately creating more energy flexibility in the market(see Figure 1).T
19、he changing landscape calls for existing players to expand or adapt their offerings.Both new and existing players typically need access to metering data and other diversified energy data products.Going forward,data access and support for developing data-sharing use cases are necessary to provide val
20、ue-adding services.While access and participation to build energy data use cases often exist for established system market parties and processes,new parties keen to build on energy data insights find their access is often very cumbersome or is not facilitated at all.COUNTRIES TAKING INITIATIVES TO U
21、NLOCK ENERGY DATA TO THE MARKETAcross the globe,countries are centralizing their energy data as one step toward easier facilitation of distributing energy data.There is no one-size-fits-all approach that applies to every market when considering all the possible data-sharing architectures.Legacy proc
22、esses and legislation are the main drivers of data-sharing market designs in each country.Some noteworthy trends include:-In most countries,the smart meter data value chain is mostly owned and operated by DSOs and/or TSOs,where in some cases centralized entities standardize communication(e.g.,Atrias
23、 in Belgium,Australian Energy Market Operator in Australia,SII in Italy).-In Italy,a central system(SII)managed by a public company was created in 2010(but still not finalized)to store data from end consumers(both gas and electricity);a second wave of smart meter rollout is ongoing and will allow fo
24、r an increase in granularity of data,opening new opportunities for data valorization.-In Nordic countries,centralization is taking place across borders.Enacting central hub interaction reduces market-entry barriers for commercial players who do business in the region.In addition,centralization offer
25、s possibilities for distributed energy proliferation via renewables and demand-side flexibility.Source:Arthur D.LittleSource:Arthur D.LittleFigure 1.Energy market dynamics and energy data usageA rapidly changing energy landscape brings new challenges&opportunities.There should be full commitment to
26、flexible&controllable data chain where digitization supports fast data transfer.This results in a change of behavior with existing players&new players that wish to develop new services&optimize operations through energy data.Therefore,central,uniform access to energy data is needed.It is important t
27、hat the end customer is always in control of their data disclosure,which is facilitated at optimized social cost.Increase in players requires increasing disclosure of various energy data productsfrom meter data landscape.Disclosure to market must be performant and offer diversified data.Rapidly chan
28、ging energy landscapeA shift in landscape playersIncreasing need for energy dataEnd client in control at optimal costOpen energy data sharingTo optimize the overall energy system cost,open energy data sharing should be promoted and embedded in regulatory mechanisms.Effective data governance at marke
29、t level must be in place to enable new and existing players to establish energy data use cases that generate value.5-Privacy risks accompany the increased data exchange,necessitating a transparent overview of the data shared with market parties.New entities are created to host central consent regist
30、ers to log data authorizations,which allows commercial entities to use the energy data of end clients.-A review of the data collection reveals an increasing variety of different data types,which provides flexibility and congestion services such as voltage and frequency data,combined with price signa
31、ls.The data opens a door leading away from the core business of metering data toward diversified commercial energy data offerings.However,this change often conflicts with the regulatory roles and responsibilities of grid operators.TSOs and/or DSOs are introducing nonregulated entities to avoid regul
32、atory conflicts and enter new services like re.alto and EnergyDataDK,which was developed by the Technical University of Denmark(DTU)and its partners(see sidebar“Energy insights accelerate energy use optimization”).Energy insights accelerate energy use optimizationRe.alto SRL,a nonregulated entity of
33、 Elia Group,maximizes an energy data API marketplace with the ambition to accelerate digital transformation and decarbonization.It provides energy suppliers with access to near-real-time data from electrical home devices,such as digital meters,electric vehicles,solar photovoltaics,batteries,heat pum
34、ps,and boilers,directly from the devices themselves,without the need for additional hardware.On the other hand,the marketplace offers a broader set of energy services via 100+energy APIs to optimize the end users electricity supply,storage,and output.6REPORT:THE BUZZ ABOUT ENERGY DATA&WHERE TO FIND
35、ITARTHUR D.LITTLE7Energy data can originate from two major distinct sources:1.Traditional system market players grid operators,balance responsible parties,energy suppliers.2.Nontraditional market players the real estate sector,original equipment manufacturers(OEMs),e-mobility providers.Both sources
36、are introducing new products and services,generating a richness of energy data relevant to the operations of the evolving energy landscape.They can use the raw data that is directly disclosed at the smart meter or the validated data that is transferred via the data chain,depending on the product or
37、service.In some countries,it is or will be required by law for traditional data registers to provide certain data products to the market for free.This is happening already in the Netherlands,where grid operators,closed distribution system operators,and parties responsible for meters must disclose sp
38、ecific energy data products for free.DATA FROM TRADITIONAL SYSTEM MARKET PLAYERSConsumption&injection registersBy far,the most valuable energy data source comes from the electricity consumed by and injected into the grid.As we are transitioning toward a supply-driven energy landscape(an increase of
39、variable,weather-dependent energy sources)while also becoming more electricity-intensive,there is a growing need for granular and near-real-time energy data to perform effective and automated demand-side control.Technical registersThe introduction of smart meters has given system market parties insi
40、ght into a goldmine of consumption data.Collecting technical data such as meter event information(e.g.,outages),voltage information,and peak power can provide a grid company with a 360-degree view of the meter that supports asset management and system operations.Real-time voltage information helps g
41、rid operators visualize and monitor the low-voltage network and perform data-driven congestion management.On the other hand,peak power data shows when household consumption is highest,leading to energy allocation based on new mechanisms,such as dynamic capacity tariffs.This method will be introduced
42、 in Flanders,Belgium(see sidebar“Introducing capacity tariff in Belgium”).2.WHERE TO FIND PROMISING ENERGY DATA SOURCESIntroducing capacity tariff in BelgiumIn January 2023,a dynamic capacity tariff was added to energy bills in Flanders,which represents around 60%of Belgiums consumers.Going forward,
43、the grid fee on energy bills will include a dynamic component based on the months highest consumption peak(in kW),which is averaged with the consumption peaks of the last 12 months.This encourages consumers with smart meters to avoid using many different electric devices at the same time or to optim
44、ize auto-consumption from rooftop solar panels.8REPORT:THE BUZZ ABOUT ENERGY DATA&WHERE TO FIND ITARTHUR D.LITTLEAsset dataIn addition to energy usage information,asset data about the meter is useful for system market parties,mainly for system operators.It includes general meter information such as
45、its age,type,and capacity;it also shares schedules of recent and upcoming software updates and meter maintenance.This data allows system market parties to anticipate potential problems with reading meter data.DATA FROM NONTRADITIONAL MARKET PLAYERS Diversifying data types allows new market players t
46、o combine metering data with external data to introduce new services.New sources of energy data are being unlocked;these include real estate registers and government demographic registers.OEMs provide another source of data,especially from heat pumps,electric boilers,washing machines,and charge pole
47、s(see Figure 2 and sidebar“A tool to evaluate the impact of energy transition”).Figure 2.overview of energy data sourcesSource:Arthur D.LittleSource:Arthur D.LittleFigure 2.overview of energy data sourcesNON-EXHAUSTIVEUtilitySMART METERINGREAL ESTATE REGISTERSGOVERNMENT/MUNICIPALITIESASSET MANAGEMEN
48、T/SYSTEM OPERATIONSEnergy-consumption dataElectricity system conformity certificationCommunity/household demographicsAccess point information Energy-injection dataEnergy-efficiency ratingLife support customersCongestion areasEvent informationRoof size&orientation Roof size&orientation Maintenance/ou
49、tage eventsPeak capacityEnergy-efficiency characteristics Granted energy-related subsidiesPlanned&forecasted connected capacityFrequency/voltage dataProperty age&last renovation dateProperty age&last renovation dateCharging infrastructureOEMsOTHERSBehind-the-meter installed devices&capacityConsumpti
50、on patternsReal-time consumption informationAvailable flexibility&time windowsPerformance&maintenance infoPricing forecasts of electricity&gasSolar&wind-specific weather forecastsForecast of sustainable energy generationPredictions of EV driving&chargingBalancing volume&price informationA tool to ev
51、aluate the impact of energy transitionWith support from Arthur D.Little,two Italian DSOs developed an energy transition tool to leverage a wide range of energy data sources(electricity consumption curves from smart meters,buildings energy efficiency ratings,heating plants registers,e-mobility data,d
52、ecarbonization targets,etc.).They aimed to evaluate future gaps in grid capacity.This tool will allow the DSO to develop an asset development strategy based on scenario analysis,including consumption,peak demand,and metering points,to review and enhance its networks capital expenditure plans accordi
53、ngly,and to evaluate the potential role of flexibility services mechanisms.9Understanding smart meter data sources is key to retrieving the right data for its corresponding use case:-Energy-efficiency monitoring.Green loans are granted based on a buildings post-renovation energy-efficiency improveme
54、nts.The required data points dont need to have high granularity;they do not need to be real-time or instantly available,either.Instead,efficiency improvements can be identified and assessed by creating an energy consumption profile.An energy consumption profile based on aggregated data taken before
55、and after the renovations should be sufficient to identify and assess the energy-efficiency improvements.-Demand response.More granular data is needed to enable residential demand response,as these events can be triggered,for example,from 2 pm to 5 pm.Daily aggregated data will not be sufficient her
56、e.Typically,most European countries already take 96 meter readings per day(equal to one every 15 minutes),which enables effective demand-response market support.-Congestion management.A grid operator needs near-real-time or real-time voltage information on the street or household level to effectivel
57、y enable local congestion management and initiate the necessary dispatch actions.Acquiring this data in a timely manner once a critical congestion event occurs is a key step in addressing the problem.The principles above capture key design criteria for a future-ready smart meter data value chain(see
58、 Figure 3):3.DESIGNING A FUTURE-RE ADY SMART ME TERING L ANDSCAPEFigure 3.A smart meter value chain with design principlesSource:Arthur D.LittleSource:Arthur D.LittleFigure 3.A smart meter value chain with design principlesCRM/billing systemsCentral marketsystem(CMS)Asset management&system operation
59、sOEMsSuppliers/energy data service providersDistribution system operatorMeter datamanagementData collectors&headend systemSmart meterBehind-the-meterdevices Potential to unlock&control flexibility of smart high-load devices Home energy mgmt system enables energy mgmt Commodity invoicing Energy mgmt
60、New product&service offerings Meter reading(consumption,injection,event,technical data)Event registration Remote control Meter data communication Firmware updates Meter registration&configuration Meter data validation,estimation&editing Consumption calculation Meter data centralization&market disclo
61、sure Meter mutation Consent mgmt for third-party use Meter installation&replacements Outage&anomaly detection Network monitoringModular metering value chain allows for integration of new utilities data points(e.g.,hydrogen/heat)and can flexibly adapt to new requirements1Uniform data access to scale
62、with increasing needs of market3Diversified metering landscape discloses a variety of meter data products in line with market needs4Performant metering landscape scales with uptake of new players&high increases in data requests5Consumer control ensures data privacy&transparency in use of data by ext
63、ernal parties 7Affordable societal cost aligns with value case&TCO of envisioned metering infrastructure8Controllable consumption behavior in line with 2 available net capacitySystem stepResponsibleFunctionsDesign principlesSecured metering landscape aligns with risks&data-privacy requirements of ex
64、changed data products from meter to market6Customer-centricity in meter value chain with a focus on easy,transparent&timely handling of client requests91 0REPORT:THE BUZZ ABOUT ENERGY DATA&WHERE TO FIND ITARTHUR D.LITTLE1.Modular metering value chain.The meter data value chain should be flexible eno
65、ugh to adapt to uncertain future scenarios and requirements in the energy landscape.It should allow for easy integration with system operations and asset management and facilitate the introduction of new utilities such as water,hydrogen,and heat.2.Controllable.Introducing more variable and sustainab
66、le resources makes the energy landscape driven by supply,instead of demand.Monitoring and steering the behavior of end consumers will be required to optimally manage the grid and prevent power outages.3.Uniform data access.Data must be equally accessible to all parties with permission to use it.4.Di
67、versified.Smart meters can disclose more than consumption data.Insights that focus on events,voltage,and generation can be shared to inform emerging use cases.5.Performant.The architecture must be prepared and scalable to process increasing amounts of data.6.Secure metering landscape.Cybersecurity s
68、hould be central to both the processes and architecture,given the increasing integration of metering data into the system operations of strategic energy infrastructure.Ensuring data privacy across the entire chain from source to end user also relies on solid cybersecurity.7.Consumer control.Full con
69、trol and transparency to grant energy data access to commercial parties should be given to the consumer.8.Affordable societal cost.Adapting the meter data value chain will trigger costs to optimize in line with the systems needs and benefits.9.Customer-centric.The customers touch points within the m
70、etering value chain should allow for simple,timely,and transparent handling,with a focus on self-service and first-line support enablement.1 1To meet the challenges of sustainability and customer-centricity,it is critical for energy network operators to collaborate with nontraditional partners,regul
71、ators,and competitors.This cooperation relies on consumer data from smart meters,but data sharing is currently difficult due to issues with quality,governance,confidentiality,and availability.The complexity and challenges can be overcome through a combination of collaboration and customer-centricity
72、,often enabled by regulatory push.A regulatory framework is required to set legislative ground rules for collaboration and data sharing,which must be backed by robust customer data consent mechanisms and a cross-industry IT structure to support data exchange.The Netherlands has initiated a regulator
73、y framework with these characteristics(see sidebar“Case study A nationwide energy data exchange framework in the Netherlands”).A REGULATORY FRAMEWORK IS REQUIRED TO SET LEGISLATIVE GROUND RULES FOR COLLABORATION AND DATA SHARING4.UNLOCKING ENERGY DATA A GOVERNANCE VIE W1 2REPORT:THE BUZZ ABOUT ENERG
74、Y DATA&WHERE TO FIND ITARTHUR D.LITTLEIn the Netherlands,the energy grid operators initiated a nationwide energy data exchange decision and implementation framework for all interested market parties to enable sector-wide data sharing.All players were aligned through the Market Facilitation Forum(MFF
75、),a new consultation and decision-making forum open to all energy sector stakeholders.A second entity,BAS,was created to execute the decisions made by the MFF.BAS is responsible for the technical and operational sides of data sharing(see Figure B).In addition,BAS is also responsible,by law,for setti
76、ng up a centralized energy data authorization layer.This platform covers the identification,authentication,and authorization of any requests for predefined energy data product categories.Case study A nationwide energy data exchange framework in the NetherlandsFigure B.Framework for data-exchange dec
77、isions and implementationsSource:Arthur D.LittleLegal format:AssociationLegal format:Limited liability company(Ltd.)This is an open,independent,decisive&binding consultation&decision-making platform for all issues related to data exchangeused in regulated energy processesThis entity manages agreemen
78、ts for data exchange used in regulated energy processes in accordance with decisions taken in MFF;coordinates&facilitates implementation of decisions made by MFFMFF instructs BASBAS supports MFFDispute committeeChairmanSecretaryGrid companiesSystem market partiesNon-system partiesRepresentative busi
79、ness associationsRepresentative consumer associationsRepr.org.Repr.org.Repr.org.Activities of MFFEstablish&manage a consultation forumFacilitate discussions&documentation of market needs&visionsFacilitate decision-making&provide escalation mechanismsMandate to BAS for detailed executionActivities of
80、 BASManage market agreements,as established by MFFSupport operation of MFFCoordinate decision-making in MFFDevelop&manage centralized consent layerMarket Facilitation Forum(MFF)Administrator Energy Data Exchange Framework(BAS)THE CONSENT PLATFORM IS INVOKED THE MOMENT END CONSUMER SIGNS UP FOR CONTR
81、ACT WITH MARKET PARTY THAT REQUIRES THEIR ENERGY DATAFunctional layerAt this layer,service providers develop applications that use energy data.Examples include:(Data)register administratorResponsible party for read-out,registration&disclosure of energy data registers Remote energy-efficiency audits
82、based on actual usage dataActivation of residential demand responseMaking real-load profiles availableTaking full advantage of variable energy prices when charging an EVConsent platform:Unlocking energy data in secure&transparent way by centrally managing permissions to various data sources.Three st
83、eps:(1)identification:establishing someones identity;(2)authentication:confirmation of identity;and(3)authorization:verifying authority to grant permission to use data in question.The following basic use cases are distinguished:End consumers rightsThe end consumer is the person who owns the data.Thi
84、s person is authorized to grant permission to a service provider to use their data in providing energy services.Customer manages authorizations givenCustomer authorizes multiple requests(subscription)Third party requests customer dataCustomer consents to ad hoc data requestPrice comparatorsSupplierB
85、ank13Four main metering landscape archetypes are presented below(see Figure 4),ranging from heterogeneous,slow,point-to-point data sharing to a highly homogeneous meter data value chain with local real-time data disclosure.1.The first archetype displays a complex hetrogenous and often cost-ineffecti
86、ve setup.Meter data is delivered after a long delay to the market,where every market party requires a point-to-point nonstandardized integration with each individual DSO or other data-disclosing entity.2.In the second archetype,the decentralized heterogenous point-to-point integrations are unified i
87、n a central market system(CMS),facilitating ease and uniformity of exchange across market parties.The process for incident analysis and handling data-exchange issues where data was not delivered is cumbersome because of the individual DSOs customized Advanced metering infrastructure(AMI)landscapes,w
88、hich enable two-way communication with the digital meters.3.The third archetype is characterized by uniform data handling closer to the smart meters.All heterogenous decentralized AMIs are reduced to one uniform AMI functionality that collects data of all smart meters.This is possible through one ce
89、ntral application operated by all data-disclosing entities,or multiple applications,operated by the individual entities,that run the same software and business logic.The central asset register from the central market system must be maintained in order to deliver data to the correct market parties.Th
90、is register collects all the contracts between market parties and consumers as well as mutations such as moves and switches.4.The last archetype introduces a local edge gateway on the meter.The gateway calculates and communicates,supported by edge technology,artificial intelligence,and Internet of T
91、hings,while the core meters tasks are limited to measuring the electricity flow.This offers the possibility for real-time data disclosure to support the introduction of new advanced applications.Additionally,local processing allows for offloading heavy centralized processes.Local processing lowers t
92、he risk for security breaches by avoiding duplications and dispersions of personalized data in centralized systems.The UK market has gateways already in place for pure communication purposes,but in the Netherlands,the commercialization of an edge gateway with extended functionality is being explored
93、.The communication functionality of the CMS and the centralized AMI focuses on data export.A parallel data lake can be constructed to perform further calculations and create aggregates with the collected data without interrupting the core data-export processes.This system needs to be highly availabl
94、e and high-performing,accessible via APIs by many concurrent users.Similar API structures are being used in open banking,as explained in the case study.Regardless of structure,there is no doubt that the amount of collected data will significantly increase in the near future.Introducing a centralized
95、 consent platform to manage larger volumes of data is increasingly important.The platforms process has three steps,which we refer to as IAA:identification(establishing someones identity),authentication(confirming their identity),and authorization(verifying authority to grant permission).The consumer
96、 receives a clear overview of all the authorizations he or she has given.In the case of the decentralized gateway structure,it is possible to have local IAA functionality to communicate data directly from the smart meter to the market party without passing through a central metering system.5.UNLOCKI
97、NG ENERGY DATA SMART ME TER ARCHITEC TURE VIE W1 4REPORT:THE BUZZ ABOUT ENERGY DATA&WHERE TO FIND ITARTHUR D.LITTLEFigure 4.Metering landscape archetypesSource:Arthur D.LittleSource:Arthur D.LittleFigure 4.Metering landscape archetypesSmartmetersMarket connectorMarketpartiesCMSSmartmetersMarket conn
98、ectorMarketpartiesAdvanced metering infrastructure(AMI)AMIEach DSO has AMI&market connectors to disclose data.This obliges market parties to design their IT systems to be compatible with market connectors of each DSO.In CMS,data of all AMIs is centrally collected&distributed in a uniform way to all
99、market parties.Issues can,however,still occur in heterogeneous AMI landscapes.Heterogeneous point-to-point data sharingCentralized energy data hub12SmartmetersMarket connectorMarketpartiesCMSAMIFurther uniformization is possible when all AMIs are combined to one single system that collects data from
100、 smart meters&directly communicates it to market parties.This eliminates role of CMS for data distribution.Only a central asset register is retained separately for meter mutations.When edge gateways are connected to smart meters,they offer a second pathway to share data with market parties.Data is d
101、irectly delivered to the market parties in near real time without passing the central AMI.Both pathways will coexist because the calculation of the energy balance for allocation&reconciliation will require centralized consumption data.Centralized AMIEdge-enhanced&near-real-time data sharingCentral a
102、sset register34SmartmetersMarket connectorMarketpartiesCMSAMILocal(real-time)data deliveryEdge gatewaysEdge gatewaysEdge gatewaysCentral asset register1 5CAPTURING ENERGY DATA OPPORTUNITIESThere is consensus that energy data will be the cornerstone in establishing a stable,secure future power supply
103、.Rethinking how this data is unlocked and distributed to market participants in a uniform,transparent way should be a top priority.Failure to understand this landscape means jeopardizing the security and quality of the energy supply and missing new(commercial)business models.In this Report,we highli
104、ghted the need for better open data,explored traditional and new sources,showed the benefits of smart metering,and recommended setups for governance and architecture.Ultimately,multiple enablers are the key to maximizing the vast opportunities in energy data.Although specific regions,such as the EU,
105、are forerunners in using energy data,the opportunities and challenges will be relevant across the globe.Key takeaways for market players include:-Open energy data sharing should be promoted and embedded in regulatory mechanisms to optimize the overall system cost of the energy landscape.-An effectiv
106、e data governance forum on market level accelerates collaboration and use case development and encourages joint decision-making among new and existing players.-Stricter privacy legislation will protect the end consumer and give them full control of their data.Investing in quality user experiences ac
107、ross the energy data value chain will promote participation and use case valorization.MULTIPLE ENABLERS ARE THE KEY TO MAXIMIZING THE VAST OPPORTUNITIES IN ENERGY DATA-End consumers will be pursued by third parties wanting to exploit inherent data value.This occurs beyond the energy sector,in financ
108、ial services,automotive,telecoms,and others.-Countries are developing centralized consent management to enable transparency and control of energy data utilization;IT platforms facilitate end consumer IAA of energy data usage for products and services.-There is no“one size fits all”for data sources.S
109、pecific sources need to be tapped into based on use case.Understanding the energy data value chain and its possibilities and limitations is critical in assessing a new energy product or services viability.-Data register operators should focus on standardizing the end-to-end metering architecture wit
110、h modularization and security at its core to keep pace with fast-evolving trends and higher numbers of data transactions.-Metering architecture must be redesigned to unlock real-time energy data use cases and support direct data distribution from the meter to the authorized market party.Maintaining
111、central infrastructure will ensure calculation of the energy balance to perform allocation and reconciliation activities.CONCLUSION1 6REPORT:THE BUZZ ABOUT ENERGY DATA&WHERE TO FIND ITARTHUR D.LITTLENOTES1 71 8REPORT:THE BUZZ ABOUT ENERGY DATA&WHERE TO FIND ITARTHUR D.LITTLE1 9Arthur D.Little has be
112、en at the forefront of innovation since 1886.We are an acknowledged thought leader in linking strategy,innovation and transformation in technology-intensive and converging industries.We navigate our clients through changing business ecosystems to uncover new growth opportunities.We enable our client
113、s to build innovation capabilities and transform their organizations.Our consultants have strong practical industry experience combined with excellent knowledge of key trends and dynamics.ADL is present in the most important business centers around the world.We are proud to serve most of the Fortune 1000 companies,in addition to other leading firms and public sector organizations.For further information,please visit .Copyright Arthur D.Little 2023.All rights reserved.