Flexible Renewables in the Electricity System

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Flexible Renewables in the Electricity System Dr.-Ing. C. Wieland Sebastian Eyerer, M.Sc. Prof. Dr.-Ing. H. Spliethoff Technische Universität München Fakultät für Maschinenwesen Lehrstuhl für Energiesysteme Brussels, 10. January 2019

Outline User Behaviour Control Power as Such Key Issues Learned From Germany Examples of Suitable Technologies Sustainability in Energy Transition Technische Universität München | FlexiRES, Brussels 10.01.2019 | Christoph Wieland

1. Electricity demand of individual households Load/demand is fluctuating depending on user behavior Standard load profiles are derived, somehow approximate or forecast the demand Stochastic user behavior is superpositioned Technische Universität München | FlexiRES, Brussels 10.01.2019 | Christoph Wieland

Electricity demand depends on weather and user behavior.

1. Electricity demand in Germany Source: https://www.energy-charts.de/power.htm Wind varies significantly, solar has low contributions, coal and gas are enabling integration Daily fluctuations Technische Universität München | FlexiRES, Brussels 10.01.2019 | Christoph Wieland

1. Electricity demand in Germany Source: https://www.energy-charts.de/power.htm Wind and solar vary significantly, coal and gas are enabling integration Up to two significant fluctuations per day, due to high solar share Technische Universität München | FlexiRES, Brussels 10.01.2019 | Christoph Wieland

Electricity production needs to fulfil the demand at any time.

Secondary control power 2. Types of control power Power Primary control power Secondary control power Minute reserve power Time Source: [1] Unscheduled power plant outages Load fluctuations Forecasting errors of load Forecasting errors of renewable energy production Technische Universität München | FlexiRES, Brussels 10.01.2019 | Christoph Wieland

Control power can be purchased on markets, provided by power plants

3. Local Imbalances I National imbalances between supply and demand (Wind: North, Demand: South) Electricity grid limitations cause electricity flow through grids in neighboring countries Frequent frauds cause „protectionism“ by installation of quadrature boosters/phase shifters Technische Universität München | FlexiRES, Brussels 10.01.2019 | Christoph Wieland

3. Local Imbalances II National imbalances between supply and demand (Wind: North, Demand: South) Wind plants are curtailed and fossil reserve power is activated. Double costs for wasted RES and redispatched (fossil) reserve power Technische Universität München | FlexiRES, Brussels 10.01.2019 | Christoph Wieland

3. No Wind (and no PV) Low wind conditions lead to shortage in power supply Reduced (fossil) generation capacity cannot fully compensate Neighboring countries need to provide electricity with their generation capacity Technische Universität München | FlexiRES, Brussels 10.01.2019 | Christoph Wieland

We need (1) more local renewable and dispatchable capacities and (2) to generate local microgrids

4. Example: Biomass Source: adapted from [2] and [3] Increasing ICEngine and/or Biogas tank for enabling flexibility potential Technische Universität München | FlexiRES, Brussels 10.01.2019 | Christoph Wieland

4. Example: Geothermal CHP Source: [4] Technische Universität München | FlexiRES, Brussels 10.01.2019 | Christoph Wieland

4. Example: Geothermal CHP Industrial waste heat Heat pumps Power-to-heat Heat storage Source: [4] Increasing the flexibility of renewable CHP technology for enabling flexibility potential Technische Universität München | FlexiRES, Brussels 10.01.2019 | Christoph Wieland

4. Example: Aggregators (e.g. Next Kraftwerke) Biogas CHP PV Systems Wind power plants Natural gas CHP Dispatchable plants Hydro plants Large scale renewable plants Energy intesive industry Source: [5] Technische Universität München | FlexiRES, Brussels 10.01.2019 | Christoph Wieland

4. Example: Aggregators (e.g. Next Kraftwerke) Pooling generation capacity Placing control power on markets Restrictions for market access in Germany: 5 MW (until 2018) 1 MW (from 2018) What‘s up next? Source: [5] Technische Universität München | FlexiRES, Brussels 10.01.2019 | Christoph Wieland

5. Costs vs. Sustainability Triple-Bottom-Line Each section is treated equally and of same importance. Priority Modell Sections will be prioritized with increased importance Social Environmental Financial Environ-mental Social Financial Technische Universität München | FlexiRES, Brussels 10.01.2019 | Christoph Wieland

We need to reconsider the importance of environmental issues in a sustainable development.

References [1] Eyerer et al.: Praxisforum Geothermie.Bayern 2017 [2] Schuster et al.: Energetic and economic investigation of Organic Rankine Cycle applications, Applied Thermal Engineering, 29 (2009), pp. 1809–1817 [3] J. Karl, Dezentrale Energiesysteme, Neue Technologien im liberalisierten Energiemarkt, Oldenbourg Verlag, München, 2004 [4] Dawo: Strom aus Geothermie – Stromwäsche oder reales Potential?, Seminarvortrag, Lehrstuhl für Energiesysteme, 19.10.2018 [5] Aengenvoort: Next Kraftwerke – Intelligente Kombination Erneuerbarer/Konventioneller Technik / Insellösungen, Vortragsreihe des VDI-AK Energietechnik und des Lehrstuhls für Energiesysteme, München, 14.03.2016 Technische Universität München | FlexiRES, Brussels 10.01.2019 | Christoph Wieland

Flexible Renewables in the Electricity System Dr.-Ing. C. Wieland Sebastian Eyerer, M.Sc. Prof. Dr.-Ing. H. Spliethoff Technische Universität München Fakultät für Maschinenwesen Lehrstuhl für Energiesysteme Brussels, 10. January 2019

Back-Up RE Costs Technische Universität München | FlexiRES, Brussels 10.01.2019 | Christoph Wieland