Development of a dynamic operational rating system in energy performance certificates for existing buildings: Geostatistical approach and data-mining technique

Applied Energy

Volumn 154, Issue , 2015, Pages 254-270

  Koo, Choongwan ^a   Hong, Taehoon ^a  

^a Yonsei University   (South Korea)

Author keywords

Building energy performance certificate; Decision tree; Energy policy; Geostatistical approach; One way ANOVA (analysis of variance); Operational rating

Indexed keywords

BUILDINGS; DECISION TREES; ENERGY CONSERVATION; ENERGY EFFICIENCY; ENERGY POLICY; RATING;

BUILDING CATEGORIES; BUILDING ENERGY PERFORMANCE; ENERGY PERFORMANCE; GEOSTATISTICAL APPROACH; NEGATIVE CORRELATION; ONE-WAY ANOVA; OPERATION AND MAINTENANCE; PROBABILITY APPROACH;

DATA MINING;

DATA MINING; ENERGY EFFICIENCY; ENERGY POLICY; GEOSTATISTICS; HOUSEHOLD ENERGY; OPERATIONS TECHNOLOGY; POLICY MAKING; RATING CURVE;

SOUTH KOREA;

EID: 84923353004     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2015.05.003     Document Type: Article

References (57)

1. Intergovernmental Panel on Climate Change (IPCC). Climate change 2007: Synthesis Report. IPCC: Geneva; 2007.
2. United Nations Framework Convention on Climate Change (UNFCCC). Kyoto Protocol to the United Nations Framework Convention on Climate Change. UNFCCC: Kyoto; 1998.
3. Committee on Climate Change (CCC). The fourth carbon budget: Reducing emissions through the 2020s. CCC: London; 2010.
4. Department of Energy & Climate Change (DECC). UK emissions statistics: Frequently asked questions. DECC: London; 2012.
5. Energy Information Administration (EIA). Annual energy review 2011. EIA: Washington, DC; 2012.
6. International Energy Agency (IEA). Energy technology perspectives 2012: scenarios and strategies to 2050. IEA: Paris; 2012.
7. Koo C., Kim H., Hong T. Framework for the analysis of low-carbon scenario 2020 to achieve the national carbon emissions reduction target: focused on educational facilities. Energy Policy 2014, 73:356-367.
8. Hong T., Koo C., Kim H., Park H. Decision support model for establishing the optimal energy retrofit strategy for existing multi-family housing complexes. Energy Policy 2014, 66:157-169.
9. Kim J., Hong T., Koo C. Economic and environmental evaluation model for selecting the optimum design of green roof systems in elementary schools. Environ Sci Technol 2012, 46(15):8475-8483.
10. Koo C., Hong T., Park H., Yun G. Framework for the analysis of the potential of the rooftop photovoltaic system to achieve the net-zero energy solar buildings. Prog Photovoltaics Res Appl 2014, 22(4):462-478.
11. Koo C., Park S., Hong T., Park H. An estimation model for the heating and cooling demand of a residential building with a different envelope design using the finite element method. Appl Energy 2014, 115:205-215.
12. Koo C. A Carbon Integrated Management System for Monitoring, Diagnosing and Retrofitting the Dynamic Energy Performance of Existing Buildings in a City, an Urban Organism. Doctoral Thesis: Yonsei University, Seoul; 2014.
13. Koo C., Hong T., Lee M., Park H. Development of a new energy efficiency rating system for the existing residential buildings. Energy Policy 2014, 68:218-231.
14. Intelligent Energy Europe Programme (IEEP). Implementing the Energy Performance of Buildings Directive (EPBD): Featuring country reports 2010. IEEP: Brussels; 2011.
15. The Royal Institution of Chartered Surveyors (RICS). Towards an energy efficient European building stock. RICS: London; 2009.
16. Sunikka M. The Energy Performance of Buildings Directive (EPBD): Improving the energy efficiency of the existing housing stock 2005, Delft University of Technology (DUT), Delft.
17. Zero Carbon Hub (ZCH). Energy performance of building directive: Introductory guide to the recast EPBD-2. ZCH: London; 2011.
18. Concerted Action(CA) EPBD. Implementation of the EPBD in England and Wales, Scotland and Northern Ireland: Status in November 2010. CA EPBD: EU; 2011a.
19. Concerted Action(CA) EPBD. Implementation of the EPBD in Germany: Status in November 2010. CA EPBD: EU; 2011b.
20. Concerted Action(CA) EPBD. Implementation of the EPBD in France. Status in November 2010. CA EPBD: EU; 2011c.
21. Song S.Y., Koo B.K., Lee B.I. Comparison of assessment methods in the residential building energy efficiency rating systems of Korea and UK. J Archit Inst Korea 2010, 26:363-372.
22. Kelly S., Crawford-Brown D., Pollitt M.G. Building performance evaluation and certification in the UK: Is SAP fit for purpose?. Renew Sustain Energy Rev 2012, 16:6861-6878.
23. Majcen D., Itard L.C.M., Visscher H. Theoretical vs. actual energy consumption of labelled dwellings in the Netherlands: Discrepancies and policy implications. Energy Policy 2013, 54:125-136.
24. Branco G., Lachal B., Gallinelli P., Weber W. Predicted versus observed heat consumption of a low energy multifamily complex in Switzerland based on long-term experimental data. Energy Buildings 2004, 36(6):543-555.
25. Haas R., Biermayr P. The rebound effect for space heating - Empirical evidence from Austria. Energy Policy 2000, 28(6):403-410.
26. Marchio D., Rabl A. Energy-efficient gas heated housing in France: predicted and observed performance. Energy Buildings 1991, 17:131-139.
27. Amecke H. The impact of energy performance certificates: A survey of German home owners. Energy Policy 2012, 46:4-14.
28. Fuerst F., McAllister P. The impact of Energy Performance Certificates on the rental and capital values of commercial property assets. Energy Policy 2011, 39:6608-6614.
29. Brounen D., Kok N. On the economics of energy labelling in the housing market. J Environ Econ Manage 2011, 62(2):166-179.
30. Ministry of Land, Transport and Maritime Affairs (MLTM). The Act on the Promotion of Green Buildings. MLTM: Seoul; 2012.
31. Department for Community and Local Government (DCLG). The Government's methodology for the production of operational ratings, display energy certificates and advisory reports. DCLG: London; 2008.
32. Korean Government (KG). Greenhouse gas reduction targets by sectors and years. KG: Seoul; 2011.
33. Korea Ministry of Environment (KME). A roadmap for low-carbon green society 2020. KME: Seoul; 2011.
34. Hong T., Koo C., Jeong K. A decision support model for reducing electric energy consumption in elementary school facilities. Appl Energy 2012, 95(1):253-266.
35. 2 analysis of green roofs in elementary schools with energy saving measures. Energy Buildings 2012, 45(2):229-239.
36. Hong T., Koo C., Kwak T. Framework for the implementation of a new renewable energy system in an educational facility. Appl Energy 2013, 103(3):539-551.
37. Jeong K., Koo C., Hong T., Park H. An estimation model for determining the annual energy cost budget in educational facilities using SARIMA (seasonal autoregressive integrated moving average) and ANN (artificial neural network). Energy 2014, 71:71-79.
38. Korea Energy Management Corporation (KEMCO), 2014. Automatic calculation of TOE and CO2 emission. [25.11.14]. http://co2.kemco.or.kr.
39. Korea Power Exchange (KPX), 2014. Greenhouse gas emission factor of electricity. [25.11.14]. http://kpx.or.kr.
40. Cong R.G., Wei Y.M. Potential impact of (CET) carbon emissions trading on China's power sector: A perspective from different allowance allocation options. Energy 2010, 35(9):3921-3931.
41. Cong R.G., Wei Y.M. Experimental comparison of impact of auction format on carbon allowance market. Renew Sustain Energy Rev 2012, 16(6):4148-4156.
42. Department for Community and Local Government (DCLG). Display energy certificate: How efficiently is this building being used? DCLG: London; 2012a.
43. Department for Community and Local Government (DCLG). Improving the energy efficiency of our buildings: A guide to display energy certificates and advisory reports for public buildings. DCLG: London; 2012b.
44. Department for Community and Local Government (DCLG). User Guide to the Calculation Tool for Display Energy Certificates (DEC) for Public Buildings. Sustainable Energy Authority of Ireland (SEAL), DCLG: London; 2013a.
45. Department for Community and Local Government (DCLG). Methodology for the production of Display Energy Certificates (DEC). Sustainable Energy Authority of Ireland (SEAL), DCLG: London; 2013b.
46. Department of Energy & Climate Change (DECC). Exploring the use of Display Energy Certificates. DECC: London; 2013.
47. Dahan H., Cohen S., Rokach L., Maimon O. Proactive data mining with decision tree 2014, Springer-Verlag New York Inc., USA.
48. Lee HS, Lim JH. Statistical package for the social science (SPSS) 18.0 manual. JypHyunJae Publishing Co.: Seoul, South Korea; 2011.
49. Burrough P.A., McDonnell R.A. Principles of geographical information systems 1998, Oxford University Press, Oxford.
50. Hong T., Koo C., Park J., Park H. A GIS-based optimization model for estimating the electricity generation in the rooftop PV system. Energy 2014, 65:190-199.
51. Johnston K, Ver Hoef J, Krivoruchko K, Lucas N. Using ArcGIS™ Geostatistical Analyst. ESRI: USA; 2001.
52. Koo C., Hong T., Lee M., Park H. Estimation of the monthly average daily solar radiation using geographic information system and advanced case-based reasoning. Environ Sci Technol 2013, 47(9):4829-4839.
53. Lee M., Koo C., Hong T., Park H. Framework for mapping of monthly average daily solar radiation using advanced case-based reasoning and geographic information system. Environ Sci Technol 2014, 48(8):4604-4612.
54. McCoy J., Johnston K. Using ArcGIS™ spatial analyst 2001, ESRI, USA.
55. Koo C, Hong T. Development of a dynamic incentive and penalty program for improving the energy performance of existing buildings. Technological and Economic Development of Economy 2015, in press.
56. Koo C., Hong T. A dynamic energy performance curve for evaluating the historical trends in the energy performance of existing buildings using a simplified case-based reasoning approach. Energy Buildings 2015, 92:338-350.
57. Hong T., Koo C., Kim D., Lee M., Kim J. An estimation methodology for the dynamic operational rating of a new residential building using the advanced case-based reasoning and stochastic approaches. Appl Energy 2015, in press. 10.1016/j.apenergy.2015.04.036.