Smart Grid Trends

Transcription

1 Smart Grid Trends -8 Ka

2 Intrductin Findings in this reprt are based n in depth interviews with U.S. electric and water utilities regarding their current and future smart grid effrts. All infrmatin and data has been pulled frm the Energy Acuity (EA) Grid database, a resurce actively tracking bth planned and implemented smart grid prjects and prgrams, utility prfiles, and analyst cnversatins with utility executives regarding the inner wrkings f their smart grid radmaps. Energy Acuity defines smart grid nt nly as autmated, tw-way cmmunicatin based technlgies that allw fr the remte cntrl f electricity netwrks, but als as sftware and services that can assist utilities in achieving a hlistic, real-time view f peratins. As such, technlgies addressed in this reprt include: Advanced Metering Infrastructure (AMI), Meter Data Management (MDM), Custmer Infrmatin System (CIS), Outage Management System (OMS), Distributin Management System (DMS), Distributin Autmatin (DA), Demand Respnse (DR), Mbile Wrkfrce Management (MWFM), Asset Management, and Data Analytics. Thrugh cmprehensive phne interviews, Energy Acuity has attempted t analyze utility experiences with these ten technlgies, as well as t identify planned prjects in these areas between and 8. Overall, the next fur years will see cntinued investment in these individual technlgies, as well as their integratin and assimilatin allwing data frm each t flw freely int ne anther, creating a cmprehensive real-time lk at peratins, and eventually mving tward analytics-based predictive frecasting within the utility enterprise. Sme utilities are already experiencing early wins in these areas, while thers are bserving bth the prducts available and the experiences f early implementers identifying best practices in an attempt t understand hw t maximize business value behind smart grid investments. Utilities interviewed include smart grid pineers, having undergne the implementatin f smart technlgies prir t the American Reinvestment and Recvery Act (ARRA), as well as Smart Grid Grant (SGIG) recipients and utilities yet t maneuver the smart grid rute. While the industry and fully integrated smart grid systems may be cnsidered yung, and while sme prminent examples f unsuccessful rlluts may hinder new entrants, utilities interviewed were generally ptimistic abut what the technlgy has the ptential t prvide, their ability t adjust internally, as well as their relatinships with vendrs. As a whle, utilities will cntinue t engage with smart technlgies at the speed f business value expanding n pilts r mving tward territry wide rlluts as it becmes necessary t benefit reliability and custmer satisfactin.

3 Advanced Metering Infrastructure Whether received with enthusiasm frm cnsumers eager t take cntrl f their energy cnsumptin, r with resistance frm custmers trubled by safety, privacy, and health cncerns advanced metering infrastructure (AMI), als knwn as smart meters, is the technlgy mst cmmnly assciated with Smart Grid. While the American Reinvestment and Recvery Act (ARRA) accelerated the deplyment f advanced metering at 6 U.S. Electric Utilities, the industry as a whle has seen a significant decrease in grwth as the Smart Grid Grant awardees have all nearly clsed ut their AMI funding. Withut a grant t help facilitate a utility s ability t affrd a smart meter rllut, AMI is an extremely cstly, and in sme cases unjustifiable, business expense d U.S. AMI Prjects & Pilts Electric Water With the cmpletin f 9 U.S. electric AMI prjects and pilts in dwn t in, Energy Acuity set ut t determine where pprtunities in the U.S. smart metering industry will be mst prminent between and 8. Accrding t Energy Acuity s Grid Database, as f December : Only % f U.S. Electric Cperatives () had advanced meters installed. Only % f U.S. Investr-Owned Utilities () had advanced meters installed. Only % f U.S. Publicly-Owned Utilities () had advanced meters installed. Increasing these percentages will require utilities large and small t vercme regulatry, budgetary, reliability and custmer-based hurdles. A prven AMI cst-benefit analysis is the first step fr any utility lking t invest in smart meters; hwever, fr sme U.S. utilities AMI may never make ecnmic sense. Number f U.S. Utilities With Advanced Meters Installed Despite the decrease in electric AMI prjects between and, water presents a new pprtunity fr grwth in the smart meter industry. Up frm 8 t 8 cmpleted water AMI prjects and pilts in vs, smart water metering will cntinue t expand in the -8 timeframe. With ver, water utilities in the U.S., smart water metering is pised fr exceptinal grwth ver the next fur years. Still, nly near f ver, U.S. electric municipalities have an advanced metering infrastructure. This, paired with apprximately 7/9 U.S. electric s, and abut f clse t 9 U.S. electric cperatives having smart meters in place suggests that while the electric AMI industry has slwed electric smart metering pprtunities will cntinue t present themselves in -8 and beynd. % % % % % % % % % Percentage f U.S. Utilities with Advanced Meters Installed % % % % % % % % %

4 AMI Interviews In rder t learn mre abut U.S. utility experiences with, and plans fr, advanced metering infrastructure, Energy Acuity cnducted in-depth phne interviews with prfessinals at 7 different U.S. electric, water, and multi-service utilities. Utilities interviewed range frm smart grid pineers having cmpleted smart meter rlluts prir t Smart Grid Grant funding t utilities with AMI still years ut n their radmaps. Of the utilities interviewed n smart metering, 6% are electric nly utilities, % are electric and water utilities, and % are water nly utilities. Frty-three percent f these utilities indicated plans t invest in AMI between and 8, while % had already cmpleted r were near cmpleting smart meter rlluts. Utilities Interviewed n AMI by Service Type Of the utilities with planned AMI investments, 77% will invlve electric metering, suggesting that electric smart meter rlluts will remain a prminent smart grid investment ver the next fur years. Of these planned electric rlluts, utility wnership includes: 7% Publicly-Owned/Municipalities % Investr-Owned % Cperatives Sixteen percent f interviewees indicated n plans fr AMI investment, mstly citing small service territries and budget cnstraints as the reasning behind nt mving tward smart metering. While inaugural implementers f the technlgy indicated experiencing many trials and tribulatins with AMI, thse lking t invest fr the first time feel cnfident that the technlgy, vendrs, and successes frm previus rlluts have matured enugh t encurage them that the benefits will be wrth the expense and the inevitable difficulties bth internal and external presented by intrducing the advanced and business-altering technlgy. We were ne f the first utilities t make the investment and being ne f the first we learned a lt, and the industry learned a lt. I hpe ther utilities have gained frm sme f the trials and tribulatins we ve gne thrugh. AMI s -8 by Prject Type % Electric 7% Water % Electric & Water Electric Utilities in AMI -8 By Utility Type % % Electric Only 6% Electric & Water Multiservice Water Only % % % % % Utilities Interviewed AMI Status -8 % % 6% Nt % 7% % *All water and electric & water utilities interviewed are publicly wned %

5 Meter Data Management An AMI implementatin cannt succeed withut the tls t manage, stre, and crrelate the many interval data sets that smart meters prvide. Meter data management systems (MDMS) are an essential cmpnent t any smart meter rllut and ffer utilities a tl fr basic crdinatin f their myriad meter reads. T better understand the market fr meter data management (MDM) between and 8, Energy Acuity cnducted thrugh phne interviews with U.S. electric utilities t determine current and frwardlking plans fr meter data management systems. Interviews n MDM were cnducted with: 9 Publicly-Owned Electric Utilities 8 Cperatively-Owned Electric Utilities 7 Investr-Owned Electric Utilities Of thse interviewed, % indicated plans t invest in a meter data management system (MDMS) between -8, while % had cmpleted, r were near cmpleting, their implementatin f an MDMS. Electric Utilities Interviewed n MDM by Utility Type Utilities with cmplete investments generally nted satisfactin with their MDMS vendr, thugh mst felt they wuld pursue mre advanced analytics slutins than what their system currently prvided fr them (see page fr Data Analytics investments). The utilities interviewed planning t invest in MDMS include: s, s, and s. These numbers represent a large pprtunity fr MDMS within municipalities frm -8. Three utilities did indicate having n plans fr MDM, nting that they will nt make a mve t smart metering within the -8 timeframe, but that they culd mve tward AMI clser t. We ve had n prblems. It s been excellent and I will say that t anybdy wh has an interest. We take a lt f pride in the relatinship we have with ur [MDMS] vendr because we knw we are ging t wrk tgether fr a lng, lng time. vvvvvvvvvvvvvvv While % f utilities interviewed indicated that their investment in MDM was essentially cmplete, many acknwledged that their system underges frequent upgrades, prviding new and better ways fr utilities t segment and utilize interval data frm smart meters. Fr mst interviewees with an MDMS implemented, their relatinship with vendrs was viewed as a lngterm, essential cmpnent t having a successful smart meter rllut. Overall, as smart meter implementatins cntinue t ccur in the U.S. ver the next fur years, MDMS systems will remain an essential smart grid investment. 6% % % % % % % Utilities Interviewed MDM Status -8 % % 7% Nt Utilities in MDM -8 by Utility Type

6 Custmer Infrmatin System Integrating a utility s advanced metering infrastructure (AMI) and meter data management system (MDMS) with their custmer infrmatin system (CIS) can be a daunting task, ften requiring cnsiderable sftware upgrades r mving tward the installatin f a new CIS altgether. Despite the enrmus scpe f implementing an entirely new CIS, many utilities interviewed by Energy Acuity indicated plans fr replacing legacy CIS systems in the -8 timeframe. Of the 9 utilities questined, 7 are lking t invest in their CIS ver the next fur years. Several utilities cnsidering a CIS investment are still utilizing hmegrwn, mainframe slutins nting that a new CIS may be an inevitable expenditure as the industry as a whle cntinues t mve tward vendrsupplied CIS slutins. Utilities Interviewed n CIS By Ownership 9 fffffffffffffffffffffffffffffffffffffffffbbbbbbbbbbbbbbbbff At what pint d we cntinue ging dwn the hmegrwn path r shuld we jump ship int smething that s mre mainstream? Within the next five years we re ging t have t seriusly discuss what we re ging t d. Utilities Interviewed CIS Status -8 7 Nt Of the utilities lking t invest in CIS, 6% are publicly-wned, % are investr wned, and % are cperatives. While mst interviewees have planned CIS investments fr the -6 timeframe, tw utilities have a CIS replacement n their radmap fr 7 and 8. In general, utilities interviewed are utilizing custmer infrmatin systems that are decades ld and are nt equipped t deal with interval smart meter data. Twenty utilities indicated n plans t invest in CIS ver the next fur years, cmmenting n the verwhelming nature f such an effrt. Despite the large scpe f such a prject, CIS upgrades and replacements will cntinue t play a prminent rle in smart metering rlluts and prjects in Year f Planned CIS by Utility Type 6 7 8

7 Outage Management System The implementatin f newer and mre advanced utage management systems (OMS) are a crucial cmpnent t smart grid. Integrating OMS with a utility s AMI allws utilities t identify utage lcatins in real-time, yet many utilities are struggling with the best way t perfrm this integratin. We are able t ptimize the system and identify truble spts and we have visibility that we didn t have befre. We used t have t wait n the custmer call, nw we are able t assess the cnditins f an event in realtime. Befre we always dealt with delay Energy Acuity cnducted interviews with U.S. electric utilities regarding their current and future plans fr their OMS. Utilities interviewed include: s s 8 s Of thse interviewed, utilities indicated plans t invest in OMS ver the next fur years. Frty-seven percent f these utilities are publicly-wned, % cperatively-wned, and % investr-wned. Percentage f Utilities Interviewed n OMS by Utility Type 6% 9% % Utilities Interviewed OMS Status -8 7 Nt Utilities in OMS -8 by Utility Type % % 7% Despite 8% f utilities interviewed indicating n planned OMS investments ver the next fur years, 8 f the utilities interviewed indicated they were lking t find the best way f integrating their OMS with AMI, and nted this integratin as an essential prject n their -8 radmaps. Interviewees with an already built integratin between their AMI and OMS nted that they will place an emphasis n practive utage cmmunicatin ver the next fur years prviding custmers with utage ntificatin via calls, texts, and s, while als prviding mre accurate and better infrmed estimated times f restratin. Fr thse experiencing early success in this area, practive cmmunicatin between the utility and its custmers will becme an expectatin, nt an exceptin. ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff We re still trying t wrk thrugh the details f hw this integratin shuld happen. We culd integrate the AMI directly int the OMS, the ther schl f thught is that maybe the AMI integrates thrugh ur CIS which is already integrated with ur OMS. nnnnnnnnnnnnnnnnnnnnnnn

8 Distributin Management System Accrding Energy Acuity s interviews, advanced distributin management systems (DMS) and their capacity t integrate multiple smart grid systems (SCADA, OMS, GIS, AMI) will dictate a large prtin f smart distributin upgrades ver the next fur years. In an effrt t explre U.S. utility experiences with and plans fr DMS, Energy Acuity spke with 6 electric utilities t uncver their DMS strategies frm - 8. By utility type, thse interviewed are % s, % s, and % s. Sixty-tw percent f interviewees indicated plans t invest in DMS between and 8. While 9% indicated n plans fr DMS technlgy, mst attributed this t a small service territry r uncertainty f the technlgy. Still, interest in the technlgy remains high between all three utility types interviewed with planned investments frm: 7 s s s While the technlgy may be cnsidered yung by sme, thers indicated mving tward DMS fr lad flw studies and frecasting, increased Vlt/Var Cntrl (VVC), and the capacity fr Fault Lcatin Islatin & Service Restratin (FLISR). Of the utilities interviewed with already-implemented distributin management systems, many are beginning t pilt cnservatin vltage reductin (CVR), and cite success with CVR pilts thus far. Of the utilities planning investments in DMS between and 8, five utilities will lk t begin their DMS prject in, five in, fur in 6, and tw in 8. DMS is n the year-ut cycle fr us. When we lk at it, we just dn t feel it s ready fr primetime s t speak. We are ging t let thers cut their teeth and try t learn frm them Utilities Interviewed n DMS by Utility Type 8 Utilities Interviewed DMS Status -8 6% 9% 9% Nt.... Year f Planned DMS by Utility Type 6 7 8

9 Distributin Autmatin Distributin Autmatin hardware such as feeder mnitrs, remte fault indicatrs, and autmated feeder switches, capacitrs, and regulatrs will cntinue t be prminent smart grid technlgies frm -8. T get a better understanding f ptential distributin autmatin investments ver the next fur years, Energy Acuity cnducted interviews with U.S. electric utilities regarding planned investments in DA frm t 8. By wnership, utilities interviewed include 6 s, 9 s, and Cperatives. Thrugh these cnversatins, utilities indicated a planned investment in distributin autmatin technlgies between and 8. Of thse interviewed, nly five utilities were cmplete r near cmpletin with their DA effrts territry-wide. While many utilities have partially autmated distributin systems due t Smart Grid Grant Prjects and ther installatins f smart Number f Utilities Interviewed n DA By Utility Type 6 9 hardware fr reliability purpses typically having autmated nly their wrst perfrming circuits few utilities have installed autmated devices thrughut their entire service territry. Fr mst, the cntinued installatin f distributin autmatin devices will ccur nly at the speed f business value increasing their number f autmated circuits where it makes the mst sense frm a reliability standpint. We lk at DA expansin just like any ther reliability imprvement. Where we have a circuit r an area that wuld benefit frm a reliability standpint and the slutin wuld be an autmated device, then we ll d that. Three utilities interviewed indicated n intentins t invest in distributin autmatin in the -8 timeframe, tw being small publicly wned utilities, and the third a small electric cperative. These utilities nted that SCADA imprvements are likely the nly advanced distributin technlgy they will lk t invest in ver the next fur years. The wnership breakdwn f the utilities that indicated planned investments in distributin autmatin between and 8 includes: 9% Publicly-Owned Utilities % Investr-Owned Utilities 6% Cperatively-Owned Utilities While many U.S. investr-wned utilities have begun distributin autmatin prjects due t regulatry mandates and reliability requirements, larger municipalities will present pprtunity fr the expanded grwth f distributin autmatin technlgies in -8. Utilities Interviewed DA Status -8 Utilities in DA by Utility Type 8 9 Nt

10 Demand Respnse Traditinal demand respnse (DR) prgrams such as capacity markets, direct lad cntrl, and base interruptible prgrams have lng helped utilities avid cstly ramp-up f additinal generatin plants t meet peak demand. Mre recently, hwever, AMI enabled time respnsive demand respnse prgrams have becme prminent investments fr U.S. utilities. Part f the AMI business case was t have interval data t supprt a three-tier time-f -use rate. We have nt implemented that, but it culd ptentially be part f ur next rate case. Energy Acuity interviewed U.S. utilities n their experiences with and plans fr bth traditinal and time based demand respnse prgrams frm t 8. Utilities Interviewed n DR by Utility Type 7 Of the utilities interviewed, utilities indicated plans t invest in demand respnse prgrams and technlgy between -8. Utilities interviewed nted the prminence f mre traditinal cmmercial and industrial DR prgrams ver residential effrts, ften fcusing the reductin f peak energy usage n their largest accunts. Still, interviewees range frm having just begun residential time-f-use (TOU) pilts, t having sme f the mst successful TOU prgrams in the cuntry. Sixteen publicly-wned, investr-wned, and 6 cperatively wned utilities nted their intentin in invest in demand respnse technlgy ver the curse f the next fur years. While six cperatives discussed plans fr demand respnse, these effrts will be mstly centered n irrigatin lad cntrl Utilities Interviewed DR Status Nt Percentage f Utilities in DR by Utility Type % 8% 9% While seven utilities did reprt having n intentins fr DR prgrams in -8, respndents mainly attributed this t already lw electric rates as well as n intentins fr AMI the technlgy enabling dynamic, TOU, and critical peak pricing effrts. Utilities lking t embark n residential pricing prgrams fr the first time have cncerns abut custmer engagement and acceptance, and are lking int web prtals and ther applicatins t help cnnect with their custmers n TOU rates. Interviewees with already successful residential pricing prgrams will lk t expand upn the number f custmers participating. As AMI rlluts cntinue t expand ver the next fur years, s t will residential time-based demand respnse prgrams allwing utilities and their custmers t capitalize n the benefits f interval smart meter data.

11 Mbile Wrkfrce Management Mbile wrkfrce management (MWFM) slutins allw utilities t gain better visibility and cntrl f their field resurces, ultimately decreasing lag time in service requests and increasing custmer satisfactin. Integrated MWFM slutins can allw utilities t view real-time situatins in gegraphic infrmatin and utage management systems maximizing crew dispatch, decreasing utage times, and aviding cstly issues with sending incrrect r ill-prepared crews t reslve issues. In rder t better understand market trends fr MWFM ver the next fur years, Energy Acuity interviewed U.S. utilities n their plans fr mbile wrkfrce management between and 8. Interviewees included: 7% s % s % s Utilities Interviewed n MWFM by Utility Type 8 7 Overall, MWFM slutins were recgnized as imprtant at nearly every utility interviewed. A utility s capability t cntrl its distributin grid thrugh smart technlgies als necessitates a capacity fr real-time crew cntrl and mnitring allwing a utility t nt nly prgressively examine its distributin system, but t have the same capabilities fr its wrkfrce. Of thse interviewed 8 s, s, and s indicated plans fr investing in MWFM in -8 suggesting that the technlgy and its benefits are f interest t the varius utility types acrss the industry. kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk We are certainly lking int mbile wrkfrce management. We have utfitted all f ur field engineers and mst supervisrs with the hardware. It s definitely ne f the mre imprtant things n ur list While utilities indicated having n intentin f investing in MWM, they nted the reasning behind this as having bth small staffs and small service territries. Several interviewees had cmplete r near cmplete implementatins f MWFM slutins, and mst nted satisfactin with the slutin itself and with their relatinship with their vendr. As utilities mve t autmate mre and mre f their internal prcesses, MWFM slutins will cntinue t have a strng presence in utility peratins and investments ver the next fur years Utilities Interviewed MWFM Status Nt Percentage in MWFM By Utility Type % 9% %

12 Asset Management Enterprise asset management slutins prvide a unified apprach t mnitring and measuring the cnditins f a utility s diverse and disparately lcated assets. The implementatin f smart technlgies requires utilities t have a mre unified apprach t asset management than ever befre, and as such Energy Acuity cnducted cmprehensive interviews with U.S. utilities with installed smart grid hardware as a means f better understanding their apprach t asset management. Thse interviewed included: 8% s % s % s Of the utilities interviewed, were lking t invest in asset management slutins between and 8, including 6 s, 6 s, and cperatives. These numbers reflect the imprtance f asset management acrss the utility industry. Utilities Interviewed n Asset Mgmt by Utility Type 9 An verarching asset management system is in the wrks. On ur radmap, we are lking at a unified asset management slutin in the - 6 timeframe. lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll Utilities Interviewed Asset Mgmt Status -8 Utilities in Asset Mgmt by Utility Type % % % Nt Many publicly and cperatively-wned utilities interviewed had nt yet invested in any asset management slutin, utilizing spreadsheets and their Gegraphic Infrmatin System (GIS) as a means f tracking assets. Investr-wned utilities interviewed tended t have mre advanced asset management slutins, but different divisins f the utility (generatin, transmissin, distributin) utilize individual asset management slutins rather than a unified sftware and apprach t asset management thrughut the entire utility. Planned investments in asset management include five utilities in, five in, fur in 6, and ne utility had a unified asset management slutin n their radmap fr s in Asset Mgmt By Year & Utility Type 6 7 8

13 Data Analytics Fundatinally, smart grid prvides utilities with the ability utilize cmmunicatins platfrms t gain realtime peratinal data frm deplyed smart devices. Yet, simply receiving and string this data des nt actualize the ptential benefits smart grid slutins can ffer. By utilizing analytics, utilities can apprpriate data frm smart devices in a way that allws them t better understand events, trends, analysis, and ultimately prvides the capacity t calculate the utcme f events that, in the past, have been unpredictable and uncntrllable. Analytics may be the single mst imprtant facet f utilizing smart technlgy t its full ptential, and yet, mst utilities are unsure where t begin with data analytics. In an effrt t better understand the rle f data analytics in the smart grid industry ver the next fur years, Energy Acuity interviewed U.S. electric utilities with develped smart grid prgrams. Utilities interviewed included: 6% s 9% s 7% Of thse interviewed, 79% were lking t invest in data analytics slutins between and 8. Fr thers, analytics is a puzzle whse slutin is mre than fur years ut at the utility. Even tw investr-wned utilities interviewed, cnsidered by many t be analytics pineers, remarked that they are nly beginning t scratch the surface f..... Utilities Interviewed n Data Analytics by Utility Type 9 Utilities in Data Analytics by Utility Type 6% 9% % Year f Analytics by Utility Type what can be accmplished thrugh data analytics. Others felt that analytics is the biggest unslved prject within the utility, nting uncertainty nt nly in chsing vendrs, but in understanding themselves what exactly they hpe t achieve thrugh analytics. Nearly every utility interviewed cited a gal f mving t be predictive rather than reactive in their peratins a feat which they believe can nly be attained thrugh analytics. The biggest puzzle fr us frm the AMI/DA side is lking at hw we want t manage the analytics part f it. We ve gt all f the data, we ve gt a way t stre it, but we dn t have the ability t manipulate the data t d the kind f analytics we wuld like t d. [Analytics] is prbably ur biggest utstanding decisin.

14 Want t See Mre? Request a FREE Demnstratin tday by ing dem@energyacuity.cm, r by visiting us at In the meantime, here s a quick verview f what yu can expect t find in the ea Grid database: Industries: Energy Infrastructure Demand Reductin Smart Grid Energy Strage Utilities Transmissin Distributin Cmpany Prfiles:, Tracked, Detailed Prfiles Industries Prjects Executive Bigraphies Manufacturing Prducts Supply Agreements News Service Prviders Parent/Subsidiaries Financings M&A, Alliances Executives: Bigraphy Cntact Infrmatin Lcatin Utilities: NERC Regin Peak Demand Net Generatin Whlesale Purchases Retail Sales Sales fr Retail Retail Revenue Resale Revenue Ttal Revenue Ttal Cnsumers Operatin Search Custmer Search Green Prgram Search Generatin Details Search Advanced Meters Search Energy Strage Prjects: Type: Battery Flywheel Fuel Cell CAES Prject Status Lcatin Cmpanies Invlved/Rles Capacity Related News Develpment Timeline Smart Grid Prjects: Type: Data Acquisitin/ Cmmunicatins Demand Respnse Distributin Management / Autmatin Meter Installatins / AMI Pilt Prgram/Study/Dem Prject Status Lcatin # f Units Develpment Timeline/Key Dates Cmpanies Invlved/Rles Prject Cntacts Related News Prjected $ Savings Transmissin Prjects: Vltage Miles Capacity Substatins Status Percent / Segments Operating Miles Key Dates Cmpanies Invlved / Rles Related News Utility IQ: Firsthand cnversatins with utility executives Planned utility investments in smart grid Tracking smart grid, asset management, MWFM, CIS, and mre Analyst Ntes: Prject updates via primary research Ntes n Transmissin, Smart Grid, & Energy Strage Prjects Request fr Prpsals: Type: Energy Strage Smart Grid Transmissin/Distributin Whlesale Pwer Deadlines Issuers Lcatin Cntacts Links Ntificatins Supply Agreements: Cmpanies Invlved Supplier/Purchaser Details Agreement Type Capacity Financial Terms Financings: Cmpanies Invlved Stage f Develpment Financing Sectr Related News M&A, Alliances: Cmpanies Invlved Event Type Financial Terms Related News Client Supprt & Trainings: Persnal Client Relatins Manager One-n-ne Trainings Grup Trainings Live Chat Supprt Direct Telephne Feedback Opprtunities Energy Acuity, LLC Delgany Street Suite Denver, CO 8