Energy disaggregation analysis of a supermarket chain using a facility-model

Energy and Buildings

Volumn 97, Issue , 2015, Pages 65-76

  Iyer, Shiva R ^a   Sankar, Maathangi ^a   Ramakrishna, P Venkata ^a   Sarangan, Venkatesh ^a   Vasan, Arunchandar ^a   Sivasubramaniam, Anand ^a,b  

^a TATA CONSULTANCY SERVICES   (India)

^b The Pennsylvania State University   (United States)

Author keywords

Building energy management; Disaggregation; Energy consumption; Supermarkets

Indexed keywords

CHAINS; CLIMATE CONTROL; COOLING; COOLING SYSTEMS; ENERGY UTILIZATION;

BUILDING ENERGY MANAGEMENTS; COOLING REQUIREMENTS; DESIGN AND OPERATIONS; DEVELOPING ECONOMIES; DISAGGREGATION; INDEPENDENT COMPONENTS; SUPERMARKET CHAINS; SUPERMARKETS;

RETAIL STORES;

EID: 84927129393     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2015.03.053     Document Type: Article

References (43)

1. US EPA Profile of an Average U.S. Supermarket's Greenhouse Gas Impacts from Refrigeration Leaks Compared to Electricity Consumption 2011 http://www.epa.gov/greenchill/downloads/GC-AverageStoreProfile-FINAL-JUNE-2011-REVISED.pdf
2. National Action Plan for Energy Efficiency: Sector Collaborative on Energy Efficiency Accomplishments and Next Steps. ICF International, urlhttp://www.epa.gov/cleanenergy/documents/suca/sector-collaborative.pdfhttp://www.epa.gov/cleanenergy/documents/suca/sector-collaborative.pdf.
3. U.D. of Treasury, Understanding Grocery Industry, http://www.cdfifund.gov/what-we-do/resources/Understanding.
4. ENERGY STAR Certified Buildings and Plants, US Environmental Protection Agency, http://www.energystar.gov/buildings/.
5. S. Tassou, Y. Ge, A. Hadawey, and D. Marriott Energy consumption and conservation in food retailing Appl. Therm. Eng. 31 2-3 2010 147 10.1016/j.applthermaleng.2010.08.023 https://hal.archives-ouvertes.fr/hal-00692330
6. W. Xuchao, R. Priyadarsini, and L. Siew Eang Benchmarking energy use and greenhouse gas emissions in Singapore's hotel industry Energy Policy 38 8 2010 4520 4527
7. W.-S. Lee Benchmarking the energy efficiency of government buildings with data envelopment analysis Energy Build. 40 5 2008 891 895
8. C. Federspiel, Q. Zhang, and E. Arens Model-based benchmarking with application to laboratory buildings Energy Build. 34 3 2002 203 214
9. B.T. Griffith, N. Long, P. Torcellini, R. Judkoff, D. Crawley, and J. Ryan Methodology for Modeling Building Energy Performance across the Commercial Sector 2008 NREL
10. K. Field, M. Deru, and D. Studer Using doe commercial reference buildings for simulation studies Proceedings of the 4th National Conference of IBPSA-USA 2010 85 93
11. E. Crowe, K. Falletta, P.M. Brook, and J. Regnier California's commercial building energy asset rating system (bears): technical approach and design considerations ACEEE Summer Study on Energy Efficiency in Buildings 2012
12. M. Deru, K.D. Studer, K. Benne, B. Griffith, P. Torcellini, B. Liu, M. Halverson, D. Winiarski, and M. Rosenberg Us department of energy commercial reference building models of the national building stock, Tech. Rep. National Renewable Energy Laboratory Technical Report NREL/TP-5500-46861 2011
13. EnergyPlus, http://apps1.eere.energy.gov/buildings/energyplus/.
14. S.R. Iyer, V. Sarangan, A. Vasan, and A. Sivasubramaniam Watts in the basket? Energy analysis of a retail chain Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings, BuildSys'13 2013 ACM 4:1 4:8
15. G.W. Hart Nonintrusive appliance load monitoring Proc. IEEE 80 12 1992 1870 1891
16. M. Berges, E. Goldman, H.S. Matthews, L. Soibelman, and K. Anderson User-centered nonintrusive electricity load monitoring for residential buildings J. Comput. Civ. Eng. 25 6 2011 471 480
17. K.X. Perez, W.J. Cole, J.D. Rhodes, A. Ondeck, M. Webber, M. Baldea, and T.F. Edgar Nonintrusive disaggregation of residential air-conditioning loads from sub-hourly smart meter data Energy Build. 81 2014 316 325
18. L.K. Norford, and S.B. Leeb Non-intrusive electrical load monitoring in commercial buildings based on steady-state and transient load-detection algorithms Energy Build. 24 1 1996 51 64
19. S. Giri, and M. Bergés An energy estimation framework for event-based methods in non-intrusive load monitoring J. Energy Convers. Manage. 90 2015 488 498
20. J.Z. Kolter, and M.J. Johnson Redd: A public data set for energy disaggregation research Workshop on Data Mining Applications in Sustainability (SIGKDD), San Diego, CA, vol. 25, Citeseer 2011 59 62
21. K. Anderson, A. Ocneanu, D. Benitez, D. Carlson, A. Rowe, and M. Berges Blued: a fully labeled public dataset for event-based non-intrusive load monitoring research Proceedings of the 2nd KDD Workshop on Data Mining Applications in Sustainability (SustKDD) 2012 1 5
22. S. Makonin, F. Popowich, L. Bartram, B. Gill, and I.V. Bajic AMPds: a public dataset for load disaggregation and eco-feedback research Electrical Power and Energy Conference (EPEC), 2013 IEEE 2013 IEEE 1 6
23. N. Batra, J. Kelly, O. Parson, H. Dutta, W. Knottenbelt, A. Rogers, A. Singh, and M. Srivastava NILMTK: An open source toolkit for non-intrusive load monitoring Proceedings of the 5th International Conference on Future Energy Systems 2014 ACM 265 276
24. L. Farinaccio, and R. Zmeureanu Using a pattern recognition approach to disaggregate the total electricity consumption in a house into the major end-uses Energy Build. 30 3 1999 245 259
25. B.J. Birt, G.R. Newsham, I. Beausoleil-Morrison, M.M. Armstrong, N. Saldanha, and I.H. Rowlands Disaggregating categories of electrical energy end-use from whole-house hourly data Energy Build. 50 2012 93 102
26. I.P. Panapakidis, T.A. Papadopoulos, G.C. Christoforidis, and G.K. Papagiannis Pattern recognition algorithms for electricity load curve analysis of buildings Energy Build. 73 2014 137 145
27. C. Yan, S. Wang, and F. Xiao A simplified energy performance assessment method for existing buildings based on energy bill disaggregation Energy Build. 55 2012 563 574
28. E.H. Borgstein, and R. Lamberts Developing energy consumption benchmarks for buildings: bank branches in brazil Energy Build. 82 2014 82 91
29. H. Masuda, and D.E. Claridge Statistical modeling of the building energy balance variable for screening of metered energy use in large commercial buildings Energy Build. 77 2014 292 303
30. X. Li, and J. Wen Building energy consumption on-line forecasting using physics based system identification Energy Build. 82 2014 1 12
31. V. Siddharth, P.V. Ramakrishna, T. Geetha, and A. Sivasubramaniam Automatic generation of energy conservation measures in buildings using genetic algorithms Energy Build. 43 10 2011 2718 2726 10.1016/j.enbuild.2011.06.028 http://www.sciencedirect.com/science/article/pii/S0378778811002775.
32. California Building Energy Benchmarking Reference Tool, Lawrence Berkeley National Laboratory, http://poet.lbl.gov/cal-arch/.
33. Bureau of Energy Efficiency, Government of India, http://www.beeindia.in/.
34. W. Chung, Y. Huia, and Y.M. Lamb Benchmarking the energy efficiency of commercial buildings Appl. Energy 83 1 2006 1 14
35. W.-S. Lee Benchmarking the energy efficiency of government buildings with data envelopment analysis Energy Build. 40 5 2008 891 895
36. M.S. Spyrou, K. Shanks, M.J. Cook, J. Pitcher, and R. Lee An empirical study of electricity and gas demand drivers in large food retail buildings of a national organisation Energy Build. 68 Part A (0) 2014 172 182 10.1016/j.enbuild.2013.09.015 http://www.sciencedirect.com/science/article/pii/S0378778813005914.
37. F. Hill, R. Watkins, and R. Edwards Developing figures for 'gain' in relation to refrigerated cabinets in a supermarket building J. Build. Serv. Eng. Res. Technol. 35 5 2014 465 474
38. TuTiempo Network, S.L., https://tutiempo.net/en/.
39. U.S. EPA Energy Star Building Manual, Facility Type: Supermarkets and Grocery Stores 2008 http://www.energystar.gov/sites/default/files/buildings/tools/EPA-BUM-CH11-Supermarkets.pdf
40. F. Hill, R. Edwards, and G. Levermore Influence of display cabinet cooling on performance of supermarket buildings J. Build. Serv. Eng. Res. Technol. 35 2 2014 170 181
41. S.A. Tassou, and W. Xiang Computational Fluid Dynamics in Food Processing, Ch. Investigation of Methods to Improve Retail Store Environment Using CFD 2008 CRC Press 143 166
42. Saving Energy With Manual J and Manual D, http://www.greenbuildingadvisor.com/blogs/dept/musings/saving-energy-manual-j-and-manual-d.
43. Right-Size Heating and Cooling Equipment, Technology Fact Sheet, U.S. Department of energy., http://www.nrel.gov/docs/fy02osti/31318.pdf.