Smart grid projects in Europe: Current status, maturity and future scenarios

Applied Energy

Volumn 152, Issue , 2015, Pages 58-70

  Colak, Ilhami ^a,b,d   Fulli, Gianluca ^a   Sagiroglu, Seref ^b   Yesilbudak, Mehmet ^c   Covrig, Catalin Felix ^a  

^a JOINT RESEARCH CENTRE   (Italy)

^b GAZI UNIVERSITY   (Turkey)

^c NEVSEHIR HACI BEKTAS VELI UNIVERSITY   (Turkey)

^d ISTANBUL GELISIM UNIVERSITY   (Turkey)

Author keywords

Current status; Future scenarios; Investments; Smart grid projects; Transition; Trends

Indexed keywords

ENERGY RESOURCES; INVESTMENTS;

CURRENT STATUS; FUTURE SCENARIOS; SMART GRID; TRANSITION; TRENDS;

SMART POWER GRIDS;

ELECTRICITY GENERATION; EUROPEAN COMMISSION; EUROPEAN UNION; INVESTMENT; PROJECT ASSESSMENT;

EUROPE;

EID: 84928942949     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2015.04.098     Document Type: Article

References (38)

1. Gungor V.C., Sahin D., Kocak T., Ergut S., Buccella C., Cecati C., et al. A survey on smart grid potential applications and communication requirements. IEEE Trans Industr Inf 2013, 9(1):28-42.
2. Kuzlu M., Pipattanasomporn M., Rahman S. Communication network requirements for major smart grid applications in HAN, NAN and WAN. Comput Networks 2014, 67:74-88.
3. Liserre M., Sauter T., Hung J.Y. Future energy systems: integrating renewable energy sources into the smart power grid through industrial electronics. IEEE Ind Electron Mag 2010, 4(1):18-37.
4. Harris A. Smart grid thinking: power super grid. Eng Technol 2009, 4(9):46-49.
5. Strategic Deployment Document for Europe's Electricity Networks of the Future. Smart Grids European Technology Platform; 2010. http://www.smartgrids.eu.
6. Aziz A.F.A., Khalid S.N., Mustafa M.W., Shareef H., Aliyu G. Artificial intelligent meter development based on advanced metering infrastructure technology. Renew Sustain Energy Rev 2013, 27:191-197.
7. Chou J.S., Yutami G.A.N. Smart meter adoption and deployment strategy for residential buildings in Indonesia. Appl Energy 2014, 128:336-349.
8. Siano P. Demand response and smart grids-Survey. Renew Sustain Energy Rev 2014, 30:461-478.
9. Xue X., Wang S., Sun Y., Xiao F. An interactive building power demand management strategy for facilitating smart grid optimization. Appl Energy 2014, 116:297-310.
10. Song I.K., Jung W.W., Kim J.Y., Yun S.Y., Choi J.H., Ahn S.J. Operation schemes of smart distribution networks with distributed energy resources for loss reduction and service restoration. IEEE Trans Smart Grid 2013, 4(1):367-374.
11. Ghazvini M.A.F., Morais H., Vale Z. Coordination between mid-term maintenance outage decisions and short-term security-constrained scheduling in smart distribution systems. Appl Energy 2012, 96:281-291.
12. Suberu Y.S., Mustafa M.W., Bashir N. Energy storage systems for renewable energy power sector integration and mitigation of intermittency. Renew Sustain Energy Rev 2014, 35:499-514.
13. Fares R.L., Webber M.E. Combining a dynamic battery model with high-resolution smart grid data to assess microgrid islanding lifetime. Appl Energy 2014, 2014. 10.1016/j.apenergy.04.049.
14. Bae M., Kim H., Kim E., Chung A.Y., Kim H., Roh J.H. Toward electricity retail competition: survey and case study on technical infrastructure for advanced electricity market system. Appl Energy 2014, 133:252-273.
15. Wang J., Conejo A.J., Wang C., Yan J. Smart grids, renewable energy integration, and climate change mitigation-future electric energy systems. Appl Energy 2012, 96:1-3.
16. Mwasilu F., Justo J.J., Kim E.K., Do T.D., Jung J.W. Electric vehicles and smart grid interaction: a review on vehicle to grid and renewable energy sources integration. Renew Sustain Energy Rev 2014, 34:501-516.
17. Boynuegri A.R., Uzunoglu M., Erdinc O., Gokalp E. A new perspective in grid connection of electric vehicles: different operating modes for elimination of energy quality problems. Appl Energy 2014, 132:435-451.
18. Smart Grid Projects in Europe: Lessons Learned and Current Developments. Joint Research Centre of European Commission; 2012. http://ses.jrc.ec.europa.eu/publication-list/reports.
19. Guidelines for Conducting a Cost-Benefit Analysis of Smart Grid Projects. Joint Research Centre of European Commission; 2012. http://ses.jrc.ec.europa.eu/publications-list/reports.
20. Guidelines for Cost-Benefit Analysis of Smart Metering Deployment. Joint Research Centre of European Commission; 2012. http://ses.jrc.ec.europa.eu/publications-list/reports.
21. Smart Energy Grids and Complexity Science. Joint Research Centre of European Commission; 2012. http://ses.jrc.ec.europa.eu//publications-list/reports.
22. The Social Dimension of Smart Grids. Joint Research Centre of European Commission; 2012. http://ses.jrc.ec.europa.eu//publications-list/reports.
23. Colak I., Sagiroglu S., Fulli G., Yesilbudak M., Covrig C.F. A survey on the critical issues in smart grid technologies. Renew Sustain Energy Rev 2014, submitted for publication.
24. Colak I., Bayindir R., Fulli G., Tekin I., Demirtas K., Covrig C.F. Smart grid opportunities and applications in Turkey. Renew Sustain Energy Rev 2014, 33:344-352.
25. Smart Grid Projects in Europe: Lessons Learned and Current Developments. Joint Research Centre of European Commission; 2011. http://ses.jrc.ec.europa.eu//publications-list/reports.
26. Proposed Standard Practice for Surveys on Research and Experimental Development. Organization for Economic Co-Operation and Development; 2002. http://www.oecd-ilibrary.org/science-and-technology/frascati-manual-2002_9789264199040-en.
27. Brown J., Hendry C. Public demonstration projects and field trials: accelerating commercialization of sustainable technology in solar photovoltaics. Energy Policy 2009, 37(7):2560-2573.
28. Sagar A.D., Zwaan B.V.D. Technological innovation in the energy sector: R&D, deployment, and learning-by-doing. Energy Policy 2006, 34(17):2601-2608.
29. Smart Grid Projects Outlook 2014. Joint Research Centre of European Commission; 2014. http://ses.jrc.ec.europa.eu/smart-grids-observatory.
30. Yesilbudak M., Sagiroglu S., Colak I. A new approach to very short term wind speed prediction using k-nearest neighbor classification. Energy Convers Manage 2013, 69:77-86.
31. Williams A.S. Modern business statistics with microsoft office excel 2012, South-Western Cengage Learning, USA, p. 788-808.
32. Lind D., Marchal W., Wathen S., Waite C.A. Basic statistics for business and economics 2009, McGraw-Hill, USA, p. 16(33-36).
33. Anderson D.R., Sweeney D.J., Williams T.A., Camm J.D., Cochran J.J. Quantitative methods for business 2013, South-Western Cengage Learning, USA, p. 207-8.
34. Cryer J.D., Chan K.S. Time series analysis with applications in R 2008, Springer Science+Business Media, USA, p. 30-5.
35. Brockwell P.J. Time series analysis. Int Encyclopedia Educ 2010, 474-481.
36. ARMA Analysis. http://www.spiderfinancial.com/support/documentation/numxl/reference-manu%20al/arma-analysis.
37. ARIMA Analysis. http://www.spiderfinancial.com/support/documentation/numxl/reference-manu%20al/arma-analysis/arima-analysis.
38. Zhang B.C., Han X.X., Zhou Z.J., Zhang L., Yin X.J., Chen Y.W. Construction of a new BRB based model for time series forecasting. Appl Soft Comput 2013, 13(12):4548-4556.