We think you have liked this presentation. If you wish to download it, please recommend it to your friends in any social system. Share buttons are a little bit lower. Thank you!
Presentation is loading. Please wait.
Published byTariq Heywood
Modified over 2 years ago
DNV GL © SAFER, SMARTER, GREENER DNV GL © Bas Vet ENERGY PV potentieel in Nederland & Zonne-energie voorspelling 1
DNV GL © Inhoud 2 1.Introductie 2.PV potentieel 3.PV netwerk integratie DNV GL National Smart Grid Model Bottom-up aanpak 4.Conclusies
DNV GL © Actualiteit 3
DNV GL © Introductie 4 Europese afspraken: 14% duurzame energie in 2020 and 16% in 2023 Op dit moment: ~4% duurzame energie In 2013 is het Nationaal Energieakkoord gesloten – Ruim 40 organisaties: – de overheid, werkgevers, vakbewegingen, natuur- en milieuorganisaties, andere maatschappelijke organisaties en financiële instellingen – 139/159 afspraken zijn “gestart” Toch zijn er zorgen: – Bezwaren tegen sluiten kolencentrales – Onenigheid over bijstoken biomassa – Verzet tegen windmolens
DNV GL © Zonne-energie in het Energie akkoord Energie akkoord: – Geen specifieke targets zonne-energie – Zonne-energie onder categorie decentrale duurzame energie Toch kan zonne-energie een belangrijke bijdrage leveren aan het halen van de doelen: – Nationaal Actieplan Zonnestroom: 4 GWp in 2020 – Wim Sinke: 4-8 GWp – ECN: 30 GWp in 2030 Huidige stand: – > 1 GWp 5
DNV GL © Oude potentieelstudies Potentieelstudies : – De Noord (2003): 80 – 100 GWp – Bersma et al (1997): 90 – 110 GWp – Koot & Middelkoop (2000): 47 GWp – Alsema & Van Bummelen (1992): 224 GWp – KPMG (1999): 27 GWp Meest recente studie: 2003 Hoeveel netwerkcapaciteit? 6
DNV GL © Inhoud 7 1.Introductie 2.PV potentieel 3.PV netwerk integratie DNV GL National Smart Grid Model Bottom-up aanpak Lokale case study 4.Conclusies
DNV GL © PV Roof Potential Combining exact building locations with Object Height Register Calculated tilt and orientation Corrected average irradiation 8 Building profilesDominant tilt Orientation Corrected irradiation
DNV GL © PV Roof Potential Corrections for roof edges (4%) and obstacles (36%); No shadow correction GIS calculations are very time consuming Determine available m 2 per building type – Existing residential & commercial buildings on postal code level 9 Figure: Available roof area per building type
DNV GL © PV Roof Potential PV technical detailsNo irradiation correctionCorrected irradiation Peak power per m Wp/m 2 Average peak power production per year 950 kWh/kWp770 kWh/kWp Average production per m kWh/m kWh/m 2 10 ResidentialCommercialTotal 41 GWp25 GWp66 GWp 32 TWh19 TWh51 TWh Roof potential results: 400 km 2 potential PV surface Not included: PV efficiency increase Shading by trees and buildings Infrastructure, ground mounted systems, water, etc.
DNV GL © Potential in the non-built environment LocationsPotential Railways (solar roof & wall)6 GWp Public roads & high ways (roof / wall)18 / 6 GWp Green Houses3 GWp Waste dump sites1 GWp 5% of Lake IJssel> 10 GWp 10% of grass fields> 50 GWp Wp/m kWh/kWp
DNV GL © Inhoud 12 1.Introductie 2.PV potentieel 3.PV netwerk integratie DNV GL National Smart Grid Model Bottom-up aanpak 4.Conclusies
DNV GL © PV Network Integration - Methodology DNV GL National Smart Grid Profile Model 4 Scenarios – 700 MWp (January 2014) – 4 GWp (2020) – 20 GWp (2030) – 150 GWp (thought experiment) Load flow calculations Not included: Voltage analysis (case study) Network stability and flexibility 13 Medium Voltage (MV) High Voltage (HV) Low Voltage (LV) HV Generation HV Consumption MV Generation LV Generation MV Consumption LV Consumption
DNV GL © Construction of the Smart Grid Profile Model 14 Quantification Simplified grid model based on limited number of user groups. Time dependent profiles, partly based on actual weather conditions (Dutch VRJ). Simplified merit order model based on limited number of central production units types. scenario’s # dwellings, utility buildings, penetration PV, HP, CHP, EV etc.
DNV GL © Profiles User Groups Network Central Production Deterministic profiles (EV’s, conventional use) Meteorological impacted profiles (solar-PV, wind turbines, heat pumps) Profiles based on control schemes Volume per user segment Dimensioning and efficiency of storage Grid loss parameters Power per production unit Efficiencies (H & E) Investments Fuel cost 15 Profile approach
DNV GL © Urban dom. new Urban dom. existing Small commercial Utlity glastuinbou w Industry Renewable (wind & PV) Central production Heavy industry Inter- connection Renewable (wind) HV LV Decentralized Centralized MV Commercial Greenhouse cultivation Industry Rural domestic 7 Shortage/ Surplus grid loss LV: grid loss MV: grid loss HV: Urban dom. new Urban dom. existing 21 Rural domestic 3 Small commercial 4 Local National 16
DNV GL © Power balance MWp in 2014 Most sunny hour of the year 17
DNV GL © Yearly energy balance MWp in PV electricity share: 0,5%
DNV GL © Power balance – 4 GWp in 2020 Most sunny hour of the year 19
DNV GL © Yearly energy balance – 4 GWp in 2020 PV electricity share: 3% 20
DNV GL © Yearly energy balance – 20 GWp in 2030 PV electricity share: 13% 21
DNV GL © Power balance – 20 GWp in 2030 Most sunny hour of the year Large export (brown bar, HV cons.) 22
DNV GL © Power balance – 20 GWp in 2030 Demand response (20%), electric vehicles (50%) & heat pumps (45%) Less export 23 Curtailment and storage could bridge the gap between LV production and consumption
DNV GL © The role of storage Add 2 kWh energy storage for each 5 kWp 24 This model gives snap shots, energy losses and possibly costs, but not a tripping point
DNV GL © Inhoud 25 1.Introductie 2.PV potentieel 3.PV netwerk integratie DNV GL National Smart Grid Model Bottom-up aanpak 4.Conclusies
DNV GL © Commercial 40x G 60x H F F F Commercial 25 x B 25 x C 5 x E10 x E 5 x A 30 x A 5 x B 10 x C 10 x B 12 x C 10 x E 20 x E MV/LV 630 kVA District heating What can the network handle? A bottom-up approach 26 The ‘Meeks grid’ represents a typical Dutch residential community. Our simulations calculate the impact of a scenario on variations of this community A-D = town house, E-F = detached, G-H = flats, 2 commercials (school, shopping)
DNV GL © Approach – “Meeks grid” electric network layout Simplified layout of the “Meeks grid” electric network Only two types of grid components considered: transformer (incl. busbars and switches) and cables 27 MV/LV Transformer MV grid connection M V busbar 10 kV LV busbar 400 V to Commercial 1 to Block A t o District heating t o Commercial 2 Switches Cables going into the neighbourhood to Block B to Block C to Block D to Block E to Block F to Flat G to Flat H Transformer station
DNV GL © Results from bottom-up approach 1.Peak production levelled with peak consumption: 11 GW 2.Coincidence factor of PV & over dimensioning of transformers: 16 GW 3.30% curtailment (2-3% energy loss): 23 GW 4.Temporary transformer overload (few hours/year, 120%): 27 GW 5.Demand response (0,5 kW per household): +4 GW 6.‘Conventional’ grid reinforcements: 50 GW 7.Electricity storage (5 kW per household): +40 GW Assume homogeneous distribution of PV Without seasonal energy storage the demand in winter must be provided by other sources Grid voltage issues will arise (see case study) 28
DNV GL © GWp thought experiment This scenario will only be plausible if all possible measures are taken: – E.g. 75% curtailment (35-40% energy loss) – Grid extensions – Seasonal storage (hydrogen, thermal acquifiers, power-to-gas, etc) 29 75% curtailment; 20% DR; 50% HP, EV 75% curtailment; 20% DR; 50% HP, EV, Storage
DNV GL © Inhoud 30 1.Over DNV GL 2.Introductie 3.PV potentieel 4.PV netwerk integratie DNV GL National Smart Grid Model Bottom-up aanpak Lokale case study 5.Conclusies
DNV GL © A local case study – a neighbourhood in Arnhem (NL) 31 Source: Liander, Danny de Pater, 2014
DNV GL © Coincidence issues production and demand 32 Source: Liander, Danny de Pater, 2014
DNV GL © Lessons learned from case study 1.At maximum PV production the local grid voltage will rise 2.At maximum load the local grid voltage will drop The difference between elevated voltage and lowered voltage is limiting the amount of PV and heat pumps. Exceeding the voltage limits would mean network extension (larger cables and connections) This induces high social economic costs for a small area: € per household. Grid operators claim that 1,5 kWp per household is the limit without grid extension (i.e. 33% of electricity demand) 33 Source: Liander, Danny de Pater, 2014
DNV GL © Inhoud 34 1.Introductie 2.PV potentieel 3.PV netwerk integratie DNV GL National Smart Grid Model Bottom-up aanpak 4.Conclusies
DNV GL © Conclusions Abundance of roof area 66 GWp with current technology >150 GWp full potential with all applications 16 GW in present network without measures (Smart) Grid measures can allow up to 100 GW in the LV grid 35 Boundary conditions & Limitations Homogeneous distribution of PV (Local) voltage issues will appear earlier Spinning reserve must be provided Seasonal energy storage is necessary
DNV GL © SAFER, SMARTER, GREENER Thank you for your attention! 36 Bas Vet +31 (0)
Electric cars: part of the problem or a solution for future grids? Frans Nieuwenhout, Energy research Centre of the Netherlands ECN Sustainable.
PSSA Preparation. Question 1(no calculator) D Question 2 (no calculator)
BMU - E I 1 Development of renewable energy sources in Germany in
Time for a BREAK! You have 45 Minutes. Time Left 44.
BMU – KI III 1 Development of renewable energy sources in Germany in
C Copyright © 2005, Oracle. All rights reserved. Practice Solutions.
Exarte Bezoek aan de Mediacampus Bachelor in de grafische en digitale media April 2014.
Copyright © 2012, Elsevier Inc. All rights Reserved. 1 Chapter 7 Modeling Structure with Blocks.
Basel-ICU-Journal Challenge18/20/ Basel-ICU-Journal Challenge8/20/2014.
June Energy consumption in Korea 4 primary & final energy consumption CO 2 emissions LNG Nuclear Renewables, etc Oil Coal Energy Industrial.
Subtraction: Adding UP. Category 1 The whole is a multiple of ten.
Copyright © 2011, Elsevier Inc. All rights reserved. Chapter 6 Author: Julia Richards and R. Scott Hawley.
Copyright © 2003 Pearson Education, Inc. Slide 1 Computer Systems Organization & Architecture Chapters 8-12 John D. Carpinelli.
1 Prof. Valter Bezerra Dantas
©Brooks/Cole, 2001 Chapter 12 Derived Types-- Enumerated, Structure and Union.
×1= 9 4 1×1= 1 5 8×1= 8 6 7×1= 7 7 8×3= 24.
© Vattenfall AB The Swedish Power Market Presented for Invest in Sweden Agency and Sun Microsystems Stockholm 20 March, 2009 Sandra Grauers Nilsson, Vattenfall.
FACTORING Think unfoil Work down, Show all steps ax 2 + bx + c.
PP Test Review Sections 6-1 to 6-6 Mrs. Rivas 1. 2.
Model and Relationships 6 M 1 M M M M M M M M M M M M M M M M
Petersons Practice AP Exam Cengage Learning Infotrack Database.
Electricity distribution and embedded renewable energy generators Martin Scheepers ECN Policy Studies Florence School of Regulation, Workshop,
and 5. and and
Chapter 12 Membrane Transport Essential Cell Biology Third Edition Copyright © Garland Science 2010.
BREAKOUT SESSION 2 Smart Grid 2-B: Grid Integration – Essential Step for Optimization of Resources Integrating Intermittent Wind Generation into an Island.
Chapter 14 Energy Generation in Mitochondria and Chlorplasts Essential Cell Biology Third Edition Copyright © Garland Science 2010.
Copyright © 2011, Elsevier Inc. All rights reserved. Chapter 2 Author: Julia Richards and R. Scott Hawley.
Adding Up In Chunks. Category 1 Adding multiples of ten to any number.
EU market situation for eggs and poultry Management Committee 20 October 2011.
Year 6 mental test 10 second questions Addition and Subtraction Addition.
Factor P (8-5ab) 2. 4(d² + 4) 3. 3rs(2r – s) 4. 15cd(1 + 2cd) 5. 8(4a² + 3b²) 6. 12xy(3y – 4x) 7. 5x²y(6x + 7y) 8. 3cd²(3c² - 2d) 9. 15bc³(5b +
Chapter 11 Membrane Structure Essential Cell Biology Third Edition Copyright © Garland Science 2010.
CONTROL VISION Set-up. Step 1 Step 2 Step 3 Step 5 Step 4.
Solve Multi-step Equations Students will solve equations with multiple steps (more than two) using distributive property, combining like terms, and inverse.
by D. Fisher (2 + 1) + 4 = 2 + (1 + 4) Associative Property of Addition 1.
Chapter 15 Intracellular Compartments and Transport Essential Cell Biology Third Edition Copyright © Garland Science 2010.
“Energiewende” and cost mechanisms Charlotte Loreck Energy and Climate Division Öko-Institut e.V. Berlin for Heinrich Böll Foundation 5 December 2012.
District heating year District heating and cooling 2013 Heat sales (incl. taxes)2 330 mill. Sold heat energy31,6 TWh Average price of.
1 Meeting carbon budgets – 5th Progress Report to Parliament Committee on Climate Change, June If you want to tweet about this report.
Copyright © Action Works 2008 All Rights Reserved - Photos by David D. Kempster 1.
Murach's PHP and MySQL, C15© 2010, Mike Murach & Associates, Inc.Slide 1.
1 STANDARD 1.3 Converting a Fraction to % Problem 1 Problem 4 Problems 3 Problem 2 Problem 5 END SHOW PRESENTATION CREATED BY SIMON PEREZ. All rights reserved.
1 Copyright © 2013 Elsevier Inc. All rights reserved. Appendix 01.
UNITED NATIONS Shipment Details Report – January 2006.
EU Market Situation for Eggs and Poultry Management Committee 21 June 2012.
Chapter 10 Analyzing Genes and Genomes Essential Cell Biology Third Edition Copyright © Garland Science 2010.
1 Budapest University of Technology and Economics, BME, 1872 Budapest University of Technology and Economics, BME, 1872 Happy New Year 2012.
1 10 pt 15 pt 20 pt 25 pt 5 pt 10 pt 15 pt 20 pt 25 pt 5 pt 10 pt 15 pt 20 pt 25 pt 5 pt 10 pt 15 pt 20 pt 25 pt 5 pt 10 pt 15 pt 20 pt 25 pt 5 pt Synthetic.
© 2017 SlidePlayer.com Inc. All rights reserved.