OPTIMIZED OPERATION OF FLEXIBLE BIOGAS PLANTS

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The Project is being handled by Funded by Coordinated by Supported by OPTIMIZED OPERATION OF FLEXIBLE BIOGAS PLANTS Results from the projects BioStrom& OptFflex 22nd EU BC &E 2014 Martin Dotzauer, DBFZ

Agenda Background & objectives Technical challenges Methodology of scenario screening Intermediate results Conclusions & outlook 2

Background Increase of controllable load by transformation of the electrical power system with high shares of wind and solar power Introduction of the flexible premium within the amendment of Renewable Energy Source Act in 2012 for flexible biogas plants Limited potential for new biogas plants in Germany leads to the fact that existing plants are the critical element to gain flexibility Heterogeneous state of the art in existing biogas portfolio, referring to technical and structural conditions Optimal retrofitting of existing plants depends major on technical and economic frame conditions 3

Objectives BioStrom Development of different approaches to transform existing biogas plants into controllable electricity producers via dynamic simulations Implementation of a concept on an existing biogas plant Verification of simulation and practical plant operation OptFflex Identification of ideal management strategies for the flexibilisation of biogas plants based on the modelling of practical plants characterise flexibilisation paths for different types of practical plants Suggestions for strategies how to adopt old plants to new market and system requirements 4

Flexible biogas plant CHP power generation biogas production Source: DBFZ 2014 gas storage level 5

BioStrom focus on components Components for storage monitoring Important for power shifting Balancing gas storage Gas composition before and after gas storage Incoming and outgoing flow rates Standardisation of the gas storage volume Weather Data Solar Radiation Wind 6

Incentives for flexible generation Analysis of the need for controllable electricity production EPEX SPOT SE (n.d.) [Online Image] Available from: www.epexspot.com [Accessed: 25/01/2012] Which Instruments define the Schedule for the Flexible Electricity Production? Energy only market: o EPEX Spot SE (Day ahead) Network services o Control power (secondary c.p.) Average electricity prices 2013 (hourly) 7

OPTFLEX Current stage of development Amount of the flexible premium until May 2014 1000 2000 Cumulated capacity [MW] 800 600 400 200 1600 1200 800 400 Number of plants 0 0 01/2013 03/2013 05/2013 07/2013 09/2013 11/2013 01/2014 03/2014 05/2014 months cumulatet capacity in MW number of plants Source: DBFZ 2014, data base BNetzA 2014 8

OPTFLEX Scenario design state of the art, pre-flexibility and aditionally 8 scenarios technical adjustments (degree of flexibilisation) o o Partial flexibility (part.) Full flexibility (full) management adjustments (time table creation) Hypothetical optimum without restrictions (free) Under practical restrictions (restr.) if necessary need for additional gas-, heat store in case of extension Target indicators are Earnings on energy markets and the influence on refund Costs for new capacities (CHP, gas storage) 9

OPTFLEX Sample plant Biogas plant built up 2004, extended for flexibility in 2013 4 CHP: 190 kw, 2x380 kw, 250 kw(first time flexibilisation) 3 500 m³ gas storage, lasting for 5.4 hours of gas production First step: Scenarios based on state of the art Second step: scenarios with intended extension with additional CHP of 550 kw (marked with + ) Source: DBFZ 2014 10

OPTFLEX Intermediate results techn. part. const. part. full part. full time table origin. basel. free free restr. restr. Diff. [ ] 34K 0 58K 1K 38K -21K Source: DBFZ 2014 11

OPTFLEX Intermediate results techn. part. const. part. full part. full time table origin. basel. free free restr. restr. Diff. [ ] 34K 0 58K 1K 38K -21K Source: DBFZ 2014 12

OPTFLEX Intermediate results techn. part. const. part. full part. full time table origin. basel. free free restr. restr. Diff. [ ] 34K 0 58K 1K 38K -21K Source: DBFZ 2014 13

OPTFLEX Intermediate results techn. part.+ full+ part.+ full+ time table free free restr. restr. CHP-rate -66K -66K -66K -66K Diff. [ ] 67K 8K 61K -5K Source: DBFZ 2014 14

OPTFLEX Intermediate results techn. part.+ full+ part.+ full+ time table free free restr. restr. CHP-rate -66K -66K -66K -66K Diff. [ ] 67K 8K 61K -5K Source: DBFZ 2014 15

OPTFLEX Conclusions & outlook Flexible power generation by biogas plants is an increasing business. In both projects observed plants can optimize their revenue by technical and management adaptions. The feasibility and the economic optimum depends on individual pre-requisitions Decentralized biogas plants could serve an option to reduce grid stress by balancing regional intermittent feed-in Under the existing framework flexibilisation can be realized to met todays and also future energy system requirements 16

Many thanks for your attention! OPTFLEX Dotzauer, Martin phone. +49 (0)341 2434 385 mail: martin.dotzauer@dbfz.de BioStrom Häring, Georg phone. +49 (0)841 9348 6410 mail: georg.haering@thi.de Project profiles: http://www.energetische-biomassenutzung.de/en/projects.html

OPTFLEX State of the art time table 700 timekeeping, practical plant (7 days) load [kw] 600 500 400 300 200 100 0 actual nominal relative deviation [%] 150% 100% 50% 0% -50% -100% Dev. Rel. Source: DBFZ 2014 18

BioStrom Intermediate results Concept Examples No additional gas storage Additional gas storage 2x 530 kw el 2x 530 kw el max. shift of electricity production: 6 h feasible additional revenue at the electricity market*: 25,750 /a max. shift of electricity production: 12 h feasible additional revenue at the electricity market*: 24,720 /a * Feasible additional revenue at the electricity market. Assumptions: EPEX Spot average value 2013 An economic operation of controllable electricity production is possible without additional gas storages 19

BioStrom Intermediate results Modification of the biogas plant Zellerfeld Location Rated power Biogas plant Zellerfeld Egling a.d. Paar 700 kw el Installed power 1.415 kw el (526 + 889) Useable gas storage 2.700 m³ Storage capacity Used substrates Approx. 6 h Cattle manure Rye Silage (whole plant) Maize Silage (whole plant) Sugar beet 10 % 15 % 55 % 20 % Daily based schedule: 20