Siemens Distributed Energy Systems

Transcription

1 Siemens Distributed Energy Systems siemens.com

2 The traditional energy system has changed Gas supplier Gas plant Gas transport Gas distribution Smart buildings Wind or PV (private) Power to value (gases, liquids, chemicals,) Biomass Offshore wind farm Onshore wind farm Storage (gas, liquids) Hydropower plant Heat storage Onshore wind Cogeneration District heating (cooling) Storage Microgrid E-mobility Diesel generator Grid control center Large-scale PV installation Transformer Fossil-fuel power plant Substation Substation Buildings, computer centers, nanogrid Electricity Gas Cooling / heating Smart electricity meters Conventional power grid Page 2

3 Why it has changed Gaslieferant Offshore-Windpark Onshore-Windpark Gaswerk Cost-effectiveness, efficiency Availability Energieveredelung (Gase, Flüssigkeiten, Chemie) Speicher (Gas, Flüssigkeiten) Wasserkraftwerk Electrification, increased Gastransport demand Wärmespeicher Onshore- Wind Diesel- Generator Biomasse KWK Fernwärme (-kälte) Gasverteilung Intelligente Gebäude Speicher Market liberalization Microgrid Elektromobilität Wind oder PV (privat) Nuclear phase-out Digitalization Netzleitstelle Große PV- Installation Transformator Local emissions Fossiles Kraftwerk Umspannwerk Strom Gas Kälte/Wärme New technologies Intelligente Stromzähler Reduction of CO 2 emissions Umspannwerk Gebäude, Rechenzentren, Nanogrid Page 3

4 New technologies making power generation competitive Price development of storage facilities worldwide ( / kwh) Power generation costs worldwide ( / MWh) Page 4 Storage (lithium ions) Gas Coal PV Onshore wind Offshore wind Sources: IHS (2015), Bloomberg (2016) Forecasts for Disruption via storage? - 40% ( ) Primarily through scaling Photovoltaic: - 45% Even small roof-top installations will be competitive Offshore wind : - 43% Industrialization of production and simplification of value creation Onshore wind: - 22% Improvement via more full-load hours and new locations (weak-wind turbines) Fossil fuels with increasing costs: + 32% coal, + 12% gas

5 Shift in new installations toward distributed power generation New installations worldwide in GW p.a. 0.9% ~444 Growth rate ~373 49% 2.0% ~358 62% 3.0% 67% 2.5% Decentralized Onshore wind, photovoltaic, small turbines, motors, storage 51% -3.3% 38% 0.7% 33% -1.3% Centralized Fossil, nuclear, offshore wind, large-scale hydropower plants Decentralized Centralized Growth rates Page 5 Sources: Siemens (2016), IHS (2016), Bloomberg (2016)

6 The implications for markets Page 6

7 The challenges and opportunities Decentralization Is changing the way we use and design energy networks Societal issues such as fuel poverty, air pollution and austerity New players in the energy industry such as local authorities Big data will present opportunities to create value for consumers and producers Customer behavior can be impacted more than before Page 7

8 Some examples siemens.com

9 Example 1: Strengthen resilience of supply in New York Co-Op City in Bronx, New York World s largest cooperative housing project, 35 buildings, 14,000 apartments w/ 60k inhabitants Flexible generation of electricity, heat and cold 40MW of power generated by cogeneration plant, including gas and steam turbine, DCS and microgrid Payback <5yr Power Plant alone with short payback period, feedin of electricity could reduce payback period to 3 years! CO 2 50% Greenhouse gas emissions from purchased electricity and fuel oil consumption reduced by over 50%. Page 9

10 Example 2: Reducing emissions at Keele University The SEND will be a demonstrator facility for government bodies, research institutions, the energy industry and other related businesses. It will show how a smart energy network comprising generation, storage and monitoring can improve energy security, reduce energy costs and reduce carbon emissions. Keele University engaged Siemens plc to produce the design and technical specification for the proposed Smart Energy Network Demonstrator (SEND). Siemens has deployed the Smart Grid Compass methodology to act as a framework. This is the first reference in the UK for the Compass., although it has been used to deliver more than 20 smart grid transformations across the globe. Page 10

11 Example 2: Reducing emissions at Keele University The university will reduce its GHG emissions by 62% against its 1990 baseline 62% reduction in emissions Saving more than 8,000 tonnes of CO 2 from being released into the atmosphere each year 8,047 tonnes First time Siemens has deployed its Smart Grid Compass methodology in the UK 1 st UK Smart Grid Compass study Page 11 of CO 2 The SEND will generate more than 80m of Gross Value Added (GVA) in the Stoke region over next 20 years. 4m per year GVA

12 Example 3: Reduce costs in London Sharing Cities is a project funded by the EU s Horizon 2020 research and innovation programme. Three lead cities (London, Lisbon and Milan) and three follower cities (Bordeux, Burgas and Warsaw). It will provide a better, common approach to making smart cities a reality. Total cost is 25million Page 12

13 Example 3: Reduce costs in London Page 13

14 Example 3: Reduce costs in London Trialling 300 smart parking bays that aim to optimise parking spaces and help drivers find a space quickly and conveniently. Testing shared electric bikes to see if these support a shift from private cars, while electric vehicles will be piloted for local deliveries and car sharing. Using the River Thames as a renewable energy source to provide affordable heat to local homes. Installing solar panels on homes to provide green energy and improve energy efficiency. The supply and demand of energy will be locally managed by energy partners involved in the programme via state-of-the-art digital technology that will also reduce energy bills and carbon emissions. Smart lamp post to integrate street lighting with an array of digital services Page 14

15 Example 3: Reduce costs in London Page 15

16 Example 3: Reduce costs in London Page 16

17 In essence... The energy market is becoming more distributed and new business models are evolving we need to innovate beyond technology and create flexible solutions We need integrated solutions, optimizing supply, demand and the grid interaction across all modes of energy Next level is aggregation, optimization of the system of systems, need a common platform to enable this next level of optimization Page 17

18 Thank you Simon Burgess Senior Consultant Siemens plc Page 18