High-resolution modeling framework for planning electricity systems with high penetration of renewables

Applied Energy

Volumn 112, Issue , 2013, Pages 215-223

  Pina, André ^a,b   Silva, Carlos A ^a,b   Ferrão, Paulo ^a,b  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^b MIT Portugal Program   (Portugal)

Author keywords

Energy systems planning; EnergyPLAN; Hybrid modeling methodologies; Renewable resources dynamics; TIMES

Indexed keywords

CARBON DIOXIDE; DYNAMICS; ECONOMICS; ELECTRICITY; EMISSION CONTROL; NATURAL RESOURCES; OPTIMIZATION; RENEWABLE ENERGY RESOURCES; TOOLS;

ENERGY SYSTEMS; ENERGYPLAN; HYBRID MODELING; RENEWABLE RESOURCE; TIMES;

INVESTMENTS;

ALTERNATIVE ENERGY; ELECTRICITY GENERATION; ELECTRICITY SUPPLY; FOSSIL FUEL; RENEWABLE RESOURCE; SUSTAINABILITY;

PORTUGAL;

EID: 84880097255     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2013.05.074     Document Type: Article

References (46)

1. 2 emission approach: a case study of Kyoto-city. Appl Energy 2011, 90(1):201-205.
2. Pollitt H, Thoung C. Modelling a UK 80% greenhouse gas emissions reduction by 2050 - a short modelling exercise for new scientist. Tech. Rep. Cambridge Econometrics; 2009.
3. Liu W., Lund H., Mathiesen B.V., Zhang X. Potential of renewable energy systems in China. Appl Energy 2011, 88:518-525.
4. Paleta R., Pina A., Silva C. Remote autonomous energy systems project: towards sustainability in developing countries. Energy 2013, 48(1):431-439.
5. Weigt H. Germany's wind energy: the potential for fossil capacity replacement and cost saving. Appl Energy 2009, 86:1857-1863.
6. Esteban M., Leary D. Current developments and future prospects of offshore wind and ocean energy. Appl Energy 2011, 90(1):128-136.
7. Suomalainen K., Silva C., Ferrao P., Connors S. Wind power design in isolated energy systems: impacts of daily wind patterns. Appl Energy 2013, 101:533-540.
8. Mathiesen B.V., Lund H., Karlsson K. 100% Renewable energy systems, climate mitigation and economic growth. Appl Energy 2011, 88:488-501.
9. Connolly D., Lund H., Mathiesen B., Leahy M. The first step towards a 100% renewable energy-system for Ireland. Appl Energy 2011, 88:502-507.
10. Krajacic G., Duic N., da Graça Carvalho M. How to achieve a 100% RES electricity supply for Portugal?. Appl Energy 2011, 88:508-517.
11. DeLaquil P., Wenying C., Larson E.D. Modeling China's energy future. Energy Sustain Develop 2003, 7:40-56.
12. Pina A., Silva C., Ferrao P. Modeling hourly electricity dynamics for policy making in long-term scenarios. Energy Policy 2011, 39(9):4692-4702.
13. Haydt G., Leal V., Pina A., Silva C.A. The relevance of the energy resource dynamics in the mid/long-term energy planning models. Renew Energy 2011, 36(11):3068-3074.
14. Silva C, Pina A, Pereira G, Moutinho A. Integrated modeling framework for energy systems planning. In: The Proceedings of the 23rd international conference on efficiency, cost, optimization, simulation and environmental impact of energy systems, vol. 3; 2010. p. 323-30.
15. Sustainable Energy Planning Research Group. Aalborg University. EnergyPlan; 1999. <>. http://energy.plan.aau.dk/.
16. IEA. Energy technology systems analysis programme; 2009.http://www.etsap.org.
17. Loulou R., Labriet M. ETSAP-TIAM: the TIMES integrated assessment model Part I: model structure. Comput Manage Sci 2008, 5(1-2):7-40.
18. Connolly D., Lund H., Mathiesen B.V., Leahy M. A review of computer tools for analysing the integration of renewable into various energy systems. Appl Energy 2010, 87:1059-1082.
19. Heaps C. LEAP - long range energy alternatives planning system; 1997. http://www.energycommunity.org/default.asp?action=47.
20. Loulou R, Goldstein G, Noble K. Documentation for the MARKAL family of models; 2004. http://www.iea-etsap.org/web/MrklDoc-I_StdMARKAL.pdf.
21. Argonne National Laboratory. ENPEP - ENergy and power evaluation program; 2009.http://manhaz.cyf.gov.pl/manhaz/links/Environmental_analysis_tools/Environmental_analysis_tools.html.
22. EIA, DOE. NEMS - The National Energy Modeling System; 2009. http://www.eia.doe.gov/oiaf/aeo/overview/.
23. HOMER ENERGY. HOMER - analysis of micropower systems options; 2010 http://www.homerenergy.com.
24. Lawrence Berkeley National Laboratory. DER-CAM - distributed energy resources customer adoption model; 2000. http://der.lbl.gov/dercam.html.
25. Drouet L, Labriet M, Loulou R, Vielle M. A master program that will drive the coupling of GEMINI-E3 and MARKAL TIMES models. Working paper: REME-WORKINGPAPER-2009-005; 2008.http://infoscience.epfl.ch/record/134204.
26. Fidge A, Rosenber E, Lindberg KB. Regional TIMES model for Norway with high time resolution. In: International energy workshop 2009, Venice; 17-19 June 2009.
27. Rosen J., Tietze-Stockinger I., Rentz O. Model-based analysis of effects from large-scale wind power production. Energy 2007, 32:575-583.
28. Qiang L, Kejun J. Low carbon scenario up to 2050 for China. In: 18th Asia-Pacific seminar on climate change, 2-3 March 2009, Hanoi, Vietnman; 2009.
29. Altos Management Partners Inc. The Altos Integrated Market Model Suite. Tech. Rep.; 2009.
30. Helseth A, Mo B. Long-term scheduling of hydro-thermal power systems using scenario trees; 2009.http://www.enercord.com/PSM2009/PSM_2009_Helseth.ppt.
31. 2 emissions in Germany: an assessment with TIMES. Energy Policy 2007, 35:772-785.
32. Lechon Y., Cabal H., Varela M., Saez R., Eherer C., Baumann M., et al. A global energy model with fusion. Fusion Eng Des 2005, 75-9:1141-1144.
33. Howells M.I., Alfstad T., Victor D.G., Goldstein G., Remme U. A model of household energy services in a low-income rural african village. Energy Policy 2005, 33:1833-1851.
34. Cleto J, Simoes S, Fortes P, Seixas J. Renewable energy sources availability under climate change scenarios impacts on the portuguese energy system. In: Proceedings of 5th international conference on european electricity market; 2008.
35. Vaillancourt K., Labriet M., Loulou R., Waaub J.P. The role of nuclear energy in long-term climate scenarios: an analysis with the World-TIMES model. Energy Policy 2008, 36:2296-2307.
36. Kanudia A, Vaillancourt K, Loulou R, Tosato G, Regemorter DV. Long-term energy-emission scenarios with the World-TIMES. In: International energy workshop 2004, Paris; 22-24 June 2004,.
37. Lund H. Large-scale integration of optimal combinations of PV, wind and wave power into the electricity supply. Renew Energy 2006, 31:503-515.
38. Lund H., Munster E. Management of surplus electricity-production from a fluctuating renewable-energy source. Appl Energy 2003, 76:65-74.
39. Blarke M., Lund H. The effectiveness of storage and relocation options in renewable energy systems. Renew Energy 2008, 33:1499-1507.
40. Amorim F., Vasconcelos J., Abreu I.C., Silva P.P., Martins V. How much room for a competitive electricity generation market in Portugal?. Renew Sustain Energy Rev 2013, 18:103-118.
41. Rede Eléctrica Nacional. REN - monthly statistics; 2010. http://www.centrodeinformacao.ren.pt.
42. República Portuguesa. Plano Nacional de Acçao para as Energias Renováveis ao Abrigo da Directiva 2009/28/CE. Tech. Rep.; 2010.
43. E.VALUE. Roadmap para as Novas Tecnologias Energéticas: PORTUGAL 2010-2050; 2011. http://www.evalue.pt/.
44. International Energy Agency. Energy technology perspectives. Tech. Rep.; 2010.
45. European Wind Energy Association. Pure power - wind energy targets for 2020 and 2030. Tech. Rep.; 2009.
46. Wave Energy Centre; 2011. http://www.wavec.org.