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Excellence of the Local Integrated Energy Systems

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Recording available at https://youtu.be/D8PWo4_K2Wc

The Open Micro Grid Project of Korea Electric Power Corporation. KEPCO has successfully completed a microgrid demonstration project in Gasa Island and Sinan districts that harness renewable energy resources.

RIGRID: Rural Intelligent Grid Project. The planning of a net-zero energy system requires a holistic view. All energy forms need to be considered simultaneously. A new planning tool for net-zero energy systems is based on the multi-energy system concept. It considers three main criteria: energetic, economic and social.

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Excellence of the Local Integrated Energy Systems

  1. 1. ISGAN Award 2019 Webinar: Excellence of the Local Integrated Energy Systems (Microgrid) - Mr. Hyungsu Kim (KEPCO) - Mr. Bartlomiej Arendarski (Fraunhofer IFF) 17th September 2019
  2. 2. 2 ISGAN in a Nutshell Created under the auspices of: the Implementing Agreement for a Co-operative Programme on Smart Grids 2 Strategic platform to support high-level government knowledge transfer and action for the accelerated development and deployment of smarter, cleaner electricity grids around the world International Smart Grid Action Network is the only global government-to- government forum on smart grids. an initiative of the Clean Energy Ministerial (CEM) Annexes Annex 1 Global Smart Grid Inventory Annex 2 Smart Grid Case Studies Annex 3 Benefit- Cost Analyses and Toolkits Annex 4 Synthesis of Insights for Decision Makers Annex 5 Smart Grid Internation al Research Facility Network Annex 6 Power T&D Systems Annex 7 Smart Grids Transitions Annex 8: ISGAN Academy on Smart Grids
  3. 3. ISGAN’s worldwide presence 1/8/2018 ISGAN STANDARD PRESENTATION 3 3
  4. 4. Value proposition 4 ISGAN Conference presentations Policy briefs Technology briefs Technical papers Discussion papers Webinars Casebooks Workshops Broad international expert network Knowledge sharing, technical assistance, project coordination Global, regional & national policy support Strategic partnerships IEA, CEM, GSGF, Mission Innovation, etc. 4 Visit our website: www.iea-isgan.org
  5. 5. KEPCO Open Microgrid Hyungsu Kim September 2019
  6. 6. Project Background and Implementation 6
  7. 7. 1. Purpose Ⅰ. PROJECT BACKGROUND AND IMPLEMENTATION 7
  8. 8. 2. Approach Ⅰ. PROJECT BACKGROUND AND IMPLEMENTATION 8 Description Inhabited Islands Uninhabited Islands (②) Total (①+②) Power delivered stably Diesel-Generator (Power delivered Unstably) No power delivered Sum (①) Island connected To Grid Diesel- Generator Number of Islands 302 114 13 0 429 2,661 3,090 Population 782,897 43,008 199 0 826,104 0 826,104
  9. 9. 2. Approach Ⅰ. PROJECT BACKGROUND AND IMPLEMENTATION 9
  10. 10. 3. Project Details Ⅰ. PROJECT BACKGROUND AND IMPLEMENTATION 10 Specification
  11. 11. 3. Project Details Ⅰ. PROJECT BACKGROUND AND IMPLEMENTATION 11
  12. 12. Project Outcomes 12
  13. 13. 1. Potential Impact Ⅱ. PROJECT OUTCOMES 13
  14. 14. 2. Economic Rationale Ⅱ. PROJECT OUTCOMES 14 81% Commercial Operation
  15. 15. 3. Potential for Replication or Adaptation Ⅱ. PROJECT OUTCOMES 15
  16. 16. 4. Innovation Ⅱ. PROJECT OUTCOMES 16
  17. 17. Next Step 17
  18. 18. 1. Expansion of KEPCO MG Model NEXT STEP 18 < KEPCO MG Project Completion Ceremony in Mozambique > 2. P2G-based KEPCO MG
  19. 19. Alignment with ISGAN Mission 19
  20. 20. Korea’s Smart Grid Ecosystem Ⅳ. ALIGNMENT WITH ISGAN MISSION 20
  21. 21. Thank you Hyungsu Kim bowbow95@kepco.co.kr
  22. 22. RIGRID - Rural Intelligent GRID from Vision to Realization Bartlomiej Arendarski, Fraunhofer IFF 17th September 2019
  23. 23. Motivation • dominant role of Renewable Energy Sources (RES) in future • opposition from the local population regarding installing new power plants • most of the European areas are rural 23 Aim of European Union: up to 80 % of the total electric demand by RES by 2050 Non-engagement in the planning and decision-making processes development of smart grid rural areas represents a very good benchmark to realize and test new energy projects
  24. 24. Project Consortium – optimal mix of partners and competences 24 Municipality of Puńsk Municipality of Dardesheim
  25. 25. Three Layers of ERA-Net Smart Grid Plus Local generation from RE • to improve reliability and security of supply • to reduce CO2 emission NETWORK STRUCTURE PLANNING transformer microsource load Technical layer Active participation of inhabitants • acceptance of new investments • new jobs, contract for local companies • attract new residents Social layer Inhabitants involvement into clean energy idea • income from the energy sale • new career opportunities • increased visibility of the region • „energy” tourism development Economic layer BUSINESS MODELS EVALUATION ACCEPTANCE ANALYSIS 25
  26. 26. RIGRID – aims and innovation  Creation of new paths to integrate RES into the grids  sharing of smart technology from good practice  Design of applications for integration of RES in the smart village or region  Creation of guidelines & tools to motivate the investors, users and residents to integrate smart solutions in EES  Analysis  Development and modelling  Implementation and demonstration  Evaluation and information  interactive energy and infrastructure applications for optimal planning and operation of new emerging energy infrastructures in rural areas  Demonstrators /Benchmarks Areas of implementation ResultsObjectives Methodology 26
  27. 27. Technical layer – selected results 27 • Concepts, models and algorithms for optimal planning and operation of microgrids in rural areas • Software for planning optimal structures of LV microgrid • Softwar for optimal microgrid operation • Multi-energy model of Punsk • Demontrator in Punsk • wastewater treatment plant (30 kW), PV (40 kWp), diesel generator (25 kW), battery storage (18 kW/ 25 kWh), controllable load, metering, control, protection and communication • EMACS for monitoting and controling microgrid • Laboratory stand for protection system testing
  28. 28. Economic layer – selected results 28 • Investment and operation cost calculation tool for electrical infrastructure planning and operation • Economic sizing of power plants and energy storage systems • Under condition: economic, finacial, regulatory, weather • Total Investment • Electricity Generation Costs • Business Model • Environmental impact/ Avoided CO2 emissions • Potential job creation 5 differenttechnology options Technology selection User inputs Inputs coming from the energetic analysis
  29. 29. Social layer – selected results 29 • Virtual Reality tool for spatial planning and acceptance analysis of electrical infrastructure • Simulation and communication of planning with decision makers, planners and residents • Creation of acceptance among the population • Presentation of actual situations and planning alternatives • Customized object catalog • Interactive functionalities for planning and presentation Proposed changes in planned microgrid after visualization and acceptance tests
  30. 30. Planning of Net Zero Energy System (NZES) 30 • Building units • District units • Parametrization of units (buildings, districts etc) • Modelling • Spatial room analysis • Energy generation potential • Energy consumption analyis (for electricity, heating and tranport) • Energy balancing • Power plant sizing • Energy storage plant sizing • Cost and spatial optimization
  31. 31. NZES - Holistic approach 31 Multi Energy System RIGRID - Punsk Electricity Mobility Light Heating/ cooling Electricity Mobility Light Heating In Out In In InOut Out Out Conversion system Electrification of the all the energy consumption: • Electric energy • Thermal energy • Mobility • And light Multi energy systems: • Improvement of relisience and security of the rural/ urban energy system • Improvement of reliability • Microgrids as solutions (i.e. 2011 tsunami in Japan)
  32. 32. Punks 2050- NZES - Economic evaluation Electricity generation costs 32 PV (kW) Wind (kW) LUECNZES (€/MWh) NPV (k€) IRR (%) 10850 0 128 640 5,34 9000 1100 127 3056 6,7 8000 1621 118 2850 6,7 7000 2282 108 2663 6,78 6000 2873 98 2839 7,06 5000 3464 89 2643 7,1 4000 4055 79 2572 7,25 3000 4646 70 2625 7,55 2000 5237 61 2678 7,93 1000 5828 51 2607 8,28 0 6420 46 2591 8,50
  33. 33. Punks 2050- NZES - Economic evaluation Heating costs 33 0 2 4 6 8 10 12 14 16 Punks NZES Natural gas Fuel oil District hating Biomass Pellet Heating costs in €/m² Average value for German houses and German weather Pollutions free solution CO2 and Pollutions emitter technologies
  34. 34. 34 Runner-up RIGIRD Realization
  35. 35. Thank you for your attention! Dr.-Ing. Bartlomiej Arendarski Fraunhofer Institute for Factory Operation and Automation IFF Magdeburg, Germany bartlomiej.arendarski@iff.fraunhofer.de

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