Novel applications: Power-to-X and Energy System Modelling with Apros Apros User Group Meeting 2017 Jouni Savolainen, Tomi Thomasson

Transcription

1 VTT TECHNICAL RESEARCH CENTRE OF FINLAND LTD Novel applications: Power-to-X and Energy System Modelling with Apros Apros User Group Meeting 2017 Jouni Savolainen, Tomi Thomasson

2 Contents NeoCarbon Energy (NCE) project shortly Apros Power-to-X simulations in NCE Project SME: new business from future energy markets The role of Apros in SME Further information 19/09/2017 2

3 NeoCarbon Energy, Power-to-X and Apros Jouni Savolainen 3

4 / NEOCARBON ENERGY 3.5 years M 3 Finnish research partners 15 industrial partners Strategic research project on renewable energy system High level scenario studies system level analyses process studies chemistry & experimental work Contact: Pasi VAINIKKA, Principal scientist VTT, Adjunct professor pasi.vainikka@vtt.fi facebook.com/neocarbonenergy 4

5 / NEOCARBON ENERGY WP1: Neo-Carbon Enabling Neo-Growth Society Transformative Energy Futures WP2: Energy System Analyses WP3: New Business arising from the Energy Market s Strategic Change WP4: Process simulation and modelling WP5: PtX conversion process development WP6: International collaboration WP7: Management, dissemination 5

6 / APROS & POWER-TO-X Power-to-X Convert renewable electricity (P) into chemicals (X) For storage, use as precursor in chemical industry, X is for example H 2, CH 4, CH 3 OH, NH 3 Tightens the coupling of energy and chemical industries 6

7 / APROS & POWER-TO-X Example processes SNG, synthetic natural gas 7

8 / APROS & POWER-TO-X Example processes SNG, synthetic natural gas Ammonia 8

9 / APROS & POWER-TO-X Why dynamic simulation? Intermittency of RE Connection to grid: ancillary services Inflexible O 2 customer Gas grid quality requirements èchallenging process to operate è Two-step approach 9

10 / APROS & POWER-TO-X Two-step approach 1. Optimize hour-by-hour running schedule 2. Test what happens with Apros 10

11 / MULTI-USE POWER-TO- GAS Power Freq. FCR Constant power ~4 hours Multi-use SNG O 2 sales Electrical grid support Optimize operational schedule Operate P2G plant alternatively in FCR and constant power modes FCR mode: grid frequency affects the power via droop curve i.e. used power can vary Constant power mode: used power determined beforehand by optimization Hour-to-hour schedule elec. power between 1.8MW 9 MW (60%±40%) 11

12 / MULTI-USE POWER-TO-GAS A: First 7h in FCR mode H 2 and O 2 productions ~ consumptions è Quite stable storage situation A B E F B: 7:00 8:00 Switch to const. power (~8MW) è H 2 & O 2 productions jump up è Pressures rise è Almost all O2 storage capacity used! C: about 8:00 11:00 High production of O 2 è Danger or purge to the sky! è Drop electrical power in steps but also consumption drops è Purge around 10 o clock è At around 11 O 2 consumption jumps up and purging ends D D: 8:00-11:00 Drop elec. power to ~3MW è H 2 production drops è H 2 -MP-pressure drops gradually è H 2 -MP-pressure reaches lower limit è Feed pressure and flow to methanation drop è CH 4 -% drops H2-system starts to discharge HP storage è Feed pressure and flow to methanation go up again è Situation normalises E: 11:00-18:00 Increase power è O 2 production gets closer to consumption è O 2 storages stabilize C D F: 18:00-19:00 Stroges are not full and good elec. price è Produce more H 2 and O 2 12

13 / APROS & POWER-TO-X A closer look at SNG modelling Electrolysis = splitting of water to H 2 and O 2 13

14 / APROS & POWER-TO-X A closer look at SNG modelling Electrolysis = splitting of water to H 2 and O 2 14

15 / APROS & POWER-TO-X A closer look at SNG modelling Gas storage 15

16 / APROS & POWER-TO-X A closer look at SNG modelling Gas storage 16

17 / APROS & POWER-TO-X A closer look at SNG modelling CH 4 synthesis 17

18 / APROS & POWER-TO-X A closer look at SNG modelling CH 4 synthesis 18

19 / APROS & POWER-TO-X Further capabilities Different electrolyses: AEC, PEM, SOEC Gas storages: H 2, O 2, CH 4, CO 2, CO 2 capture from flue gas: MEA Gas phase syntheses: CH 4, MeOH, syngas, NH 3 Extranal models: Fischer-Tropsch, ADM1, biological methanation 19

20 Flexible energy from household to system level Tomi Thomasson

21 The vision: project SME Schedule: 1/2017 8/2018 Budget: 230 k WP1: Legislation WP2: Model development Simulate the legislative changes Evaluate new business models WP3: New business models Apros is involved in the core or if required One agent or plant can be focused on 19/09/2017 2

22 Demand response: room for improvement? Fourdeg Smart Heating service heats each room at the right time with the right amount of heating energy Fortum has aggregated water boilers to act as a virtual power plant Images: Fourdeg, Fortum Separate components with large potential are controlled Either electricity or heat Building level approach 19/09/2017 3

23 Why Apros: the details Preliminary case, 2016 Estimate the demand response potential ~10 buildings ~70 larger electricity consuming devices What about the air quality inside the buildings? 19/09/2017 What about the building technology itself? 4

24 Why Apros: the big picture The initial thought The reality Centralized consumption (Industry) vs. Contracting Centralized production Centralized storage Transmission and distribution SPOT Market Balancing Power Market Reserve Power Market Energy Management Microgrids Distributed and mobile storage Microproduction Contracting Distributed consumption (consumers) Energy flow Control flow Change or new business models Single technologyis not a separate technology Systems are complicated, so one must understand the dynamic responses We have the computing power, so let s not focus only on extreme winter peaks 19/09/2017 5

25 The role of Apros Python (slave) the optimiser handle data control the user interface Python Apros SCL QML/JS Apros (master) the simulator SCL create the model handle initial conditions read and write commands collect and transfer data 19/09/2017 6

26 The role of Apros Agent 1 Agent 2 Agent 3 P Algorithms and logic t Apros P Dynamic response t 19/09/2017 7

27 Demonstration case Household with varied level of equipment and activity How does the profit from demand response change?

28 Demonstration case: example model Weather forecasts PV panels Domestic hot water consumption profile Building model Heat storage tank Ground-source heat pump Analog components for control 19/09/

29 Demonstration case: user interface User selections Processed results Case handler Bluetooth connection 19/09/