Local Heating Concepts for Power Balancing

Transkript

1 Local Heating Concepts for Power Balancing 1

2 Projektets baggrund Maximum residual consumption incl. flexibility - DK Behov for balancering af el-systemet på mellemlange tidshorisonter + Behov for nye lokale/distribuerede retrofit/investeringer i fjernvarme-systemer + EV s DH HP s Ind. HP s Process Classic Sun & Wind Classic off Process off Ind. HP s off DH HP s off EV s to grid Inflex. Consump. h h h h d d d m m y Time interval Source: Energikoncept 2030 Baggrundsrapport, Energinet.dk, maj Behov for investeringer i grøn forsyning og udnyttelse af gratis energikilder = Maksimal synergi i store investeringer 2

3 Den grundlæggende problemstilling Store investeringer i fjernvarme Behov for decentralisering i fjernvarmen Behov for lagring og balancering i elsystemet Politiske prioriteringer under stor forandring Ny teknologi under hastig udvikling Problemstillingen er uoverskuelig, men potentialet er megastort -> AVA investerer >300 mio. kr over de næste 10 år (kun net) Komplekse problemstillinger skal ofte løses vha. avancerede metoder Local Heating Concepts for Power Balancing, sponsoreret af 3

4 Projektets målsætninger Formål: Udvikling og demonstration af en ny integreret designmetode til optimering af synergien mellem nye lokale fjernvarmekoncepter og balancering af el-systemet. Leverancer: Anbefalinger vedr. optimeret design af lokale fjernvarmekoncepter -> Skal sikre kortsigtet teknisk implementerbarhed Kvantificering af værdiskabelse og benchmark mod alternative løsninger -> Skal demonstrere værdiskabelsen af den udviklede metode Generelle anbefalinger vedr. rammebetingelser og F&U -> Skal sikre langsigtede forretningsforhold og yderligere F&U 4

5 Case eksempel: Kolt-Hasselager i AffaldVarme s forsyningsområde Challenges (some of them!!!): Further development concentrated in 3 areas -> uncertainties on volume and development speed? Existing and new residentials to be retrofitted/build -> utilization of direct and/or indirect storage? Existing heat exchangers is a bottleneck -> how much district heat should be central resp. local? Doubling the need for peak demand -> power bottlenecks to be eliminated and pressure drop to be too large solution? Large terrain differences -> problems with supply pressure and existing pumps synergies with other investments? Oil boiler plant shut down -> which new local capacity? Ensure sufficient use of remaining lifetime of existing distribution grid Risk of establishing too large capacity at heat exchanger, grid, etc., and thereby increasing costs for investment and operation Inclusion of future need for renovate transmission network at highway to Skanderborg. Local heat sources for heat pumps where and how can it be practical integrated? How can local storage (indirect and direct) be enabled for power balancing and/or reduced DSO investments? Ensure sufficient operating hours for RE plants? How should overall optimized load scheduling and operation be designed? 5

6 Case eksempel: Eksempler på økonomisk optimering på porteføljeniveau Average heat-price of whole AVA express the average heat-price for the whole AVA The deviations are within 2 DKK/MWh The price is without investment costs, pure operations costs Local marginal heat price of Hasselager express the extra cost of adding Hasselager to the AVA portefolio The price contains investment costs for new plants and main pipes established in Hasselager The price does not contain costs for a local distribution-grid in Hasselager 6

7 Næste skridt: Hvordan gør vi for at opnå større synergi end med traditionelle metoder? WP1 System-wide optimization of capacities, locations and flows Coarse component models Investment horizon Hourly time scale Historical demands, prices System configuration Planning submodels WP2 WP3 WP4 Detailed submodels Load scheduling horizon Sub-minute time scale Forecasted demands, prices Physical models of components and aggregates for conversion, storage and transport Physical models of urban constraints and potential storage and heat reservoirs Control strategies and models and optimal load scheduling Vi ønsker svar på: Hvor meget mere kan vi økonomisk opnå? Hvordan ser de bedre optimerede koncepter ud? Hvordan kan den avancerede metode operationaliseres? WP5 General applicability and scalability of concept 7

8 Kontaktoplysninger Projektleder: Tommy Mølbak Added Values Indlægsholder: Kim Sørensen Aalborg Universitet, Energiteknik