Building power demand response methods toward smart grid

HVAC and R Research

Volumn 20, Issue 6, 2014, Pages 665-687

  Wang, Shengwei ^a   Xue, Xue ^a   Yan, Chengchu ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC POWER DISTRIBUTION; ENERGY EFFICIENCY; SMART POWER GRIDS;

AT POWER SUPPLIES; BUILDING SYSTEMS; CONTROL STRATEGIES; DEMAND RESPONSE PROGRAMS; ELECTRICAL GRIDS; ON-LINE APPLICATIONS; RENEWABLE GENERATION; RESEARCH AND APPLICATION;

BUILDINGS;

EID: 84905822649     PISSN: 10789669     EISSN: None     Source Type: Journal    
DOI: 10.1080/10789669.2014.929887     Document Type: Article

References (216)

1. Abdelaziz, E.A., R. Saidur, and S. Mekhilef. 2011. A review on energy saving strategies in industrial sector. Renewable and Sustainable Energy Reviews 15(1):150-68.
2. Albadi, M.H., and E.F. El-Saadany. 2008. A summary of demand response in electricity markets. Electric Power Systems Research 78(11):1989-96.
3. Alfares, H.K., and M. Nazeeruddin. 2002. Electric load forecasting: Literature survey and classification of methods. International Journal of Systems Science 33(1):23-34.
4. Andrews,C.J., andU. Krogmann. 2009. Technology diffusion and energy intensity in US commercial buildings. Energy Policy 37(2):541-53.
5. Antonopoulos, K.A., and E. Koronaki. 1998. Apparent and effective thermal capacitance of buildings. Energy 23(3):183-92.
6. Antonopoulos, K.A., and E. Koronaki. 1999. Envelope and indoor thermal capacitance of buildings. Applied Thermal Engineering 19(7):743-56.
7. Antonopoulos, K.A., and E.P. Koronaki. 2000. Effect of indoor mass on the time constant and thermal delay of buildings. International Journal of Energy Research 24(5):391-402.
8. Arteconi, A., N.J. Hewitt, and F. Polonara. 2012. State of the art of thermal storage for demand-side management. Applied Energy 93:371-389.
9. Arteconi, A., N.J. Hewitt, and F. Polonara. 2013. Domestic demandside management (DSM): Role of heat pumps and thermal energy storage (TES) systems. Applied Thermal Engineering 51(1-2): 155-65.
10. Ashok, S. 2006. Peak-load management in steel plants. Applied Energy 83(5):413-24.
11. Ashok, S., and R. Banerjee. 2000. Load-management applications for the industrial sector. Applied Energy 66(2):105-11.
12. Aung, Z., M. Toukhy, J. Williams, A. Sanchez, and S. Herrero. 2012. Towards accurate electricity load forecasting in smart grids. Proceedings of DBKDA 2012: The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications, Saint Gilles, February 29-March 5, pp. 51-7.
13. Avci,M., M. Erkoc, A. Rahmani, and S. Asfour. 2013. Model predictive HVAC load control in buildings using real-time electricity pricing. Energy and Buildings 60:199-209.
14. Ayompe, L.M., and A. Duffy. 2013. Feed-in tariff design for domestic scale grid-connected PV systems using high resolution household electricity demand data. Energy Policy 61:619-27.
15. Baetens, R., B.P. Jelle, and A. Gustavsen. 2010. Properties, requirements and possibilities of smart windows for dynamic daylight and solar energy control in buildings: A state-of-the-art review. Solar Energy Materials and Solar Cells 94(2):87-105.
16. Bailey, M. 1998. Provision of frequency responsive power reserve from disconnectable load. IEE Colloquium on Economic Provision of a Frequency Responsive Power Reserve Service, London, December 4-7 (98/190), pp. 1-5.
17. Balaras,C.A.,A.G.Gaglia,E.Georgopoulou, S. Mirasgedis,Y. Sarafidis, and D.P. Lalas. 2007. European residential buildings and empirical assessment of the Hellenic building stock, energy consumption, emissions and potential energy savings. Building and Environment 42(3):1298-314.
18. Ban, M., G. Krajačić, M. Grozdek, T. Ć urko, and N. Duić. 2012. The role of cool thermal energy storage (CTES) in the integration of renewable energy sources (RES) and peak load reduction. Energy 48(1):108-17.
19. Batista, N.C., R. Melício, J.C.O. Matias, and J.P.S. Catalão. 2013. Photovoltaic and wind energy systems monitoring and building/home energy management using ZigBee devices within a smart grid. Energy 49:306-15.
20. Behl, M., T.X. Nghiem, and R. Mangharam. 2012. Green scheduling for energy-efficient operation of multiple chiller plants. TSS '12 Proceedings of the 2012 IEEE 33rd Real-Time Systems Symposium, San Juan, December 4-7, pp. 195-204.
21. Bianchi, M., A. De Pascale, and F. Melino. 2013. Performance analysis of an integrated CHP system with thermal and Electric Energy Storage for residential application. Applied Energy, doi: 10.1016/j.apenergy.2013.01.088.
22. Boehm, R.F. 2012. An approach to decreasing the peak electrical demand in residences. Energy Procedia 14:337-42.
23. Boonnasa, S., and P.Namprakai. 2010. The chilled water storage analysis for a university building cooling system. Applied Thermal Engineering 30(11-12):1396-408.
24. Borg, S.P., and N.J. Kelly. 2011. The effect of appliance energy efficiency improvements on domestic electric loads in European households. Energy and Buildings 43(9):2240-50.
25. Braun, J.E. 2003. Load control using building thermal mass. Journal of Solar Energy Engineering 125:292-301.
26. Braun, J.E., and N. Chaturvedi. 2002. An Inverse Gray-Box Model for Transient Building Load Prediction. HVAC&R Research 8(1): 73-99.
27. Broeer, T., J. Fuller, F. Tuffner, D. Chassin, and N. Djilali. 2014. Modeling framework and validation of a smart grid and demand response system for wind power integration. Applied Energy 113:199-207.
28. Cao, S.L., A. Hasan, and K. Sirén. 2014. Matching analysis for on-site hybrid renewable energy systems of office buildings with extended indices. Applied Energy 113:230-47.
29. Castillo-Cagigal, M., E. Caamaño-Martín, E. Matallanas, D. Masa-Bote, A. Gutiérrez, F. Monasterio-Huelin, and J. Jiménez-Leube. 2011. PV self-consumption optimization with storage and Active DSM for the residential sector. Solar Energy 85(9):2338-48.
30. Charles River Associates. 2005. Primer on Demand-Side Management: With an Emphasis on Price-Responsive Programs. http://siteresources.worldbank.org/ INTENERGY/Resources/PrimeronDemand-SideManagement.pdf.
31. Chen, T.Y. 2001. Real-time predictive supervisory operation of building thermal systems with thermal mass. Energy and Buildings 33(2):141-50.
32. Chen, X.P., Y.D. Wang, H.D. Yu, D.W. Wu, Y.P Li, and A.P. Roskilly. 2012. A domestic CHP system with hybrid electrical energy storage. Energy and Buildings 55:361-8.
33. Chua, K.J., W.M. Yang, T.Z. Wong, and C.A. Ho. 2012. Integrating renewable energy technologies to support building trigeneration-A multi-criteria analysis. Renewable Energy 41:358-67.
34. Cui, J.T., and S.W. Wang. 2005. A model-based online fault detection and diagnosis strategy for centrifugal chiller systems. International Journal of Thermal Sciences 44(10):986-99.
35. Dalton,G.J.,D.A. Lockington, and T.E. Baldock. 2009. Feasibility analysis of renewable energy supply options for a grid-connected large hotel. Renewable Energy 34(4):955-64.
36. Darby, S.J., and E. McKenna. 2012. Social implications of residential demand response in cool temperate climates. Energy Policy 49:759-69.
37. Dave, S.,M.Sooriyabandara, andM.Yearworth. 2013. System behaviour modelling for demand response provision in a smart grid. Energy Policy 61:172-81.
38. Depuru, S.S.S.R., L.F. Wang, and V. Devabhaktuni. 2011. Smart meters for power grid: Challenges, issues, advantages and status. Renewable and Sustainable Energy Reviews 15(6):2736-42.
39. Diaconu, B.M. 2011. Thermal energy savings in buildings with PCM enhanced envelope: Influence of occupancy pattern and ventilation. Energy and Buildings 43(1):101-7.
40. Dlamini, N.G., and F. Cromieres. 2012. Implementing peak load reduction algorithms for household electrical appliances. Energy Policy 44:280-90.
41. Doostizadeh, M., and H. Ghasemi. 2012. A day-ahead electricity pricing model based on smart metering and demand-side management. Energy 46(1):221-30.
42. Drees,K.H., and J.E.Braun. 1996. Development and evaluation of a rulebased control strategy for ice storage systems. HVAC&R Research 2(4):312-34.
43. Druitt, J., and W.G. Fr üh. 2012. Simulation of demand management and grid balancing with electric vehicles. Journal of Power Sources 216:104-16.
44. Du, P.W., and N. Lu. 2011. Appliance Commitment for Household Load Scheduling. IEEE Transactions on Smart Grid 2(2):411-9.
45. Dussault, J.M., L. Gosselin, and T. Galstian. 2012. Integration of smart windows into building design for reduction of yearly overall energy consumption and peak loads. Solar Energy 86(11):3405-16.
46. Earle, R., E.P. Kahn, and E. Macan. 2009. Measuring the capacity impacts of demand response. The Electricity Journal 22(6):47-58.
47. Electrical and Mechanical Services Department of Hong Kong. 2012. Hong Kong Energy End-use Data. www.emsd.gov.hk/emsd/e download/pee/HKEEUD2012.pdf.
48. Ericson, T. 2009. Direct load control of residential water heaters. Energy Policy 37(9):3502-12.
49. Erol-Kantarci, M., and H.T. Mouftah. 2011. Wireless sensor networks for cost-efficient residential energy management in the smart grid. IEEE Transactions on Smart Grid 2(2):314-25.
50. Escrivá-Escrivá, G. 2011. Basic actions to improve energy efficiency in commercial buildings in operation. Energy and Buildings 43(11):3106-11.
51. European Commission. 2006. Vision and strategy for Europe's electricity networks of the future. http://www.smartgrids.eu/documents/vision.pdf.
52. European Norme International Organization for Standardization (EN ISO). 2005. EN ISO Standard 7730, Ergonomics of the thermal environment-analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria. Switzerland: CEN.
53. Fan, S., and R.J. Hyndman. 2011. The price elasticity of electricity demand in South Australia. Energy Policy 39(6):3709-19.
54. Fanger, P. O. 1973. Thermal Comfort. New York: McGraw-Hill.
55. Faria, P., and Z. Vale. 2011. Demand response in electrical energy supply: An optimal real time pricing approach. Energy 36(8):5374-84.
56. Finn, P., C. Fitzpatrick, and D. Connolly. 2012. Demand side management of electric car charging: Benefits for consumer and grid. Energy 42(1):358-63.
57. Finn, P.,M. O'Connell, and C. Fitzpatrick. 2013. Demand side management of a domestic dishwasher:Wind energy gains, financial savings and peak-time load reduction. Applied Energy 101:678-85.
58. Fitzgerald, N., A.M. Foley, and E. McKeogh. 2012. Integrating wind power using intelligent electric water heating. Energy 48(1):135-43.
59. Foucquier, A., S. Robert, F. Suard, L. Stéphan, and A. Jay. 2013. State of the art in building modelling and energy performances prediction: A review. Renewable and Sustainable Energy Reviews 23:272-88.
60. El-Ferik, S., S.A. Hussain, and F.M. Al-Sunni. 2006. Identification and weather sensitivity of physically based model of residential airconditioners for direct load control: A case study. Energy and Buildings 38(8):997-1005.
61. Gans,W., A. Alberini, and A. Longo. 2013. Smart meter devices and the effect of feedback on residential electricity consumption: Evidence from a natural experiment in Northern Ireland. Energy Economics 36:729-43
62. Gellings, C.W. 1985. The concept of demand-side management for electric utilities. Proceedings of the IEEE 73(10):1468-70.
63. Gilbraith, N., and S.E. Powers. 2013. Residential demand response reduces air pollutant emissions on peak electricity demand days in New York City. Energy Policy 59:459-69.
64. Giorgio, A.D., and L.P. Pimpinella. 2012. An event driven Smart Home Controller enabling consumer economic saving and automated Demand Side Management. Applied Energy 96:92-103.
65. Goh, H.H., B.C. Kok, H.T. Yeo, S.W. Lee, and A.A.M. Zin. 2013. Combination of TOPSIS and AHP in load shedding scheme for large pulp mill electrical system. International Journal of Electrical Power & Energy Systems 47:198-204.
66. Gottwalt, S., W. Ketter, C. Block, J. Collins, and C. Weinhardt. 2011. Demand side management-A simulation of household behavior under variable prices. Energy Policy 39(12):8163-74.
67. Grynning, S., A. Gustavsen, B. Time, and B.P. Jelle. 2013. Windows in the buildings of tomorrow: Energy losers or energy gainers? Energy and Buildings 61:185-92.
68. Gyamfi, S., and S. Krumdieck. 2012. Scenario analysis of residential demand response at network peak periods. Electric Power Systems Research 93:32-38.
69. Gyamfi, S., S. Krumdieck, and T. Urmee. 2013. Residential peak electricity demand response-Highlights of some behavioural issues. Renewable and Sustainable Energy Reviews 25:71-77.
70. Hajiah, A., and M. Krarti. 2012a. Optimal control of building storage systems using both ice storage and thermalmass-Part I: Simulation environment. Energy Conversion and Management 64:499-508.
71. Hajiah, A., and M. Krarti. 2012b. Optimal controls of building storage systems using both ice storage and thermal mass-Part II: Parametric analysis. Energy Conversion and Management 64:509-515.
72. Halford, C.K., and R.F. Boehm. 2007. Modeling of phase change material peak load shifting. Energy and Buildings 39(3):298-305.
73. Hamidi, V., F.R. Li, and F. Robinson. 2009. Demand response in the UK's domestic sector. Electric Power Systems Research 79(12): 1722-6.
74. Hammer, A., D. Heinemann, E. Lorenz, and B. Lückehe. 1999. Shorttermforecasting of solar radiation: a statistical approach using satellite data. Solar Energy 67(1-3):139-50.
75. Hao, H., A. Kowli, Y. Lin, P. Barooah, and S.Meyn. 2013. Ancillary service for the grid via control of commercial building HVAC systems. American Control Conference (ACC),Washington, DC, June 17-19, pp. 467-72.
76. He,Y.X., B.Wang, J.HWang,W.Xiong, and T. Xia. 2012.Residential demand response behavior analysis based on Monte Carlo simulation: The case of Yinchuan in China. Energy 47(1):230-6.
77. Henze, G.P., C. Felsmannb, and G. Knabeb. 2004. Evaluation of optimal control for active and passive building thermal storage. International Journal of Thermal Sciences 43(2):173-83.
78. Henze, G.P., D. Kalz, C. Felsmann, and G. Knabe. 2004. Impact of forecasting accuracy on predictive optimal control of active and passive building thermal storage inventory. HVAC&R Research 10(2):153-78.
79. Henze, G.P., D. Kalz, S. Liu, and C. Felsmann. 2005. Experimental analysis of model-based predictive optimal control for active and passive building thermal storage inventory. HVAC&R Research 11(2):189-213.
80. Herter, K. 2007. Residential implementation of critical-peak pricing of electricity. Energy Policy 35(4):2121-30.
81. Herter, K., P.McAuliffe, and A.Rosenfeld. 2007.Anexploratory analysis of California residential customer response to critical peak pricing of electricity. Energy 32(1):25-34.
82. Javed, F., N. Arshad, F. Wallin, I. Vassileva, and E. Dahlquist. 2012. Forecasting for demand response in smart grids: An analysis on use of anthropologic and structural data and short term multiple loads forecasting. Applied Energy 96:150-60.
83. Jiang, B.N., and Y.S. Fei. 2011. Dynamic Residential Demand Response and Distributed Generation Management in Smart Microgrid with Hierarchical Agents. Energy Procedia 12:76-90.
84. Jin, T.D., and M. Mechehoul. 2010. Ordering Electricity via Internet and its Potentials for Smart Grid Systems. IEEE Transactions on Smart Grid 1(3):302-10.
85. Joe, J.,W. Choi, H. Kwon, and J.H. Huh. 2013. Load characteristics and operation strategies of building integrated with multi-story double skin facade. Energy and Buildings 60:185-98.
86. Kailas, A., V. Cecchi, and A. Mukherjee. 2013. Handbook of Green Information and Communication Systems. Chapter 2, A survey of contemporary technologies for smart home energy management. M. Obaidat, A. Anpalagan, I. Woungang, Eds. Waltham, MA: Academic Press.
87. Keeney, K.R., and J.E. Braun. 1997. Application of building precooling to reduce peak cooling requirements. ASHRAE Transactions 103(1):463-9.
88. Khan, K.H.,M.G.Rasul, and M.M.K. Khan. 2004. Energy conservation in buildings: cogeneration and cogeneration coupled with thermal energy storage. Applied Energy 77(1):15-34.
89. Khan, R.H., and J.Y. Khan. 2013. A comprehensive review of the application characteristics and traffic requirements of a smart grid communications network. Computer Networks 57(3):825-45.
90. Kiliccote, S., M.A. Piette, E. Koch, and D. Hennage. 2011. Utilizing automated demand response in commercial buildings as nonspinning reserve product for ancillary services markets. Proceedings of 50th IEEE Conference on Decision and Control and European Control Conference, Orlando, FL, December 12-15, pp. 4354-60.
91. Kim, Y.M., J.H. Lee, S.M. Kim, and S. Kim. 2011. Effects of double skin envelopes on natural ventilation and heating loads in office buildings. Energy and Buildings 43(9):2118-26.
92. Kirby, B., J. Kueck, T. Laughner, and K.Morris. 2008. Spinning reserve from hotel load response. The Electricity Journal 21(10):59-66.
93. Kirby, B.J. 2003. Spinning Reserve From Responsive Loads. http://certs.lbl.gov/pdf/spinning-reserves.pdf.
94. Klein, L., J.Y. Kwak, G. Kavulya, F. Jazizadeh, B. Becerik-Gerber, P. Varakantham, and M. Tambe. 2012. Coordinating occupant behavior for building energy and comfort management using multiagent systems. Automation in Construction 22:525-36.
95. Kolokotsa,D.,D.Rovas, E.Kosmatopoulos, and K.Kalaitzakis. 2011.A roadmap towards intelligent net zero-and positive-energy buildings. Solar Energy 85:3067-84.
96. Kondoh, J., N. Lu, and D.J. Hammerstrom. 2011. An Evaluation of the Water Heater Load Potential for Providing Regulation Service. IEEE Transactions on Power Systems 26(3):1309-16.
97. Kostková, K., Ľ . Omelina, P. Kyčina, and P. Jamrich. 2013. An introduction to load management. Electric Power Systems Research 95:184-91.
98. Kriett, P.O., and M. Salani. 2012. Optimal control of a residential microgrid. Energy 42(1):321-30.
99. Kueck, J.D., B.J. Kirby, M.R. Ally, and K. Rice. 2009. Using Air Conditioning Load Response for Spinning Reserve. http://certs.lbl.gov/pdf/air- conditioning-load.pdf.
100. Kueck, J.D.,B.J. Kirby, J. Eto, R.H. Staunton,C. Marnay,C.A.Martinez, and C. Goldman. 2001. Load as a Reliability Resource in Restructured Electricity Markets. http://eaei.lbl.gov/sites/all/files/lbnl-47983 0.pdf.
101. Laghari, J.A., H. Mokhlis, A.H.A. Bakar, and H. Mohamad. 2013. Application of computational intelligence techniques for load shedding in power systems: A review. Energy Conversion and Management 75:130-40.
102. Lam, J.C. 2000. Residential sector air conditioning loads and electricity use in Hong Kong. Energy Conversion and Management 41(16):1757-68.
103. Leadbetter, J., and L. Swan. 2012. Battery storage system for residential electricity peak demand shaving. Energy and Buildings 55: 685-92.
104. Lee, H., J. Bush, Y. Hwang, and R. Radermacher. 2013. Modeling of micro-CHP (combined heat and power) unit and evaluation of system performance in building application in United States. Energy 58:364-75.
105. Lee, K., and J.E. Braun. 2008a. Model-based demand-limiting control of building thermal mass. Building and Environment 43(10): 1633-46.
106. Lee, K., and J.E. Braun. 2008b.Development of methods for determining demand-limiting setpoint trajectories in buildings using short-term measurements. Building and Environment 43(10):1755-68.
107. Lee, T.Y., and C.L. Chen. 2007. Iteration particle swarm optimization for contract capacities selection of time-of-use rates industrial customers. Energy Conversion and Management 48(4):1120-31.
108. Lee, W.S., Y.T. Chen, and T.H. Wu. 2009. Optimization for ice-storage air-conditioning system using particle swarm algorithm. Applied Energy 86(9):1589-95.
109. Leow,W.L., R.C. Larson, and J.L. Kirtley. 2013. Occupancy-moderated zonal space-conditioning under a demand-driven electricity price. Energy and Buildings 60:453-63.
110. Lin, F., and J. Yi. 2000. Optimal operation of a CHP plant for space heating as a peak load regulating plant. Energy 25(3):283-98.
111. Liu, S., and G.P. Henze. 2004. Impact of modeling accuracy on predictive optimal control of active and passive building thermal storage inventory. ASHRAE Transactions 110(1):151-63.
112. Lujano-Rojas, J.M., C. Monteiro, R. Dufo-López, and J.L. Bernal-Agustín. 2012. Optimum residential load management strategy for real time pricing (RTP) demand response programs. Energy Policy 45:671-9.
113. Lund, P. 2012. Large-scale urban renewable electricity schemes- Integration and interfacing aspects. Energy Conversion and Management 63:162-72.
114. Mago, P.J., and A.K. Hueffed. 2010. Evaluation of a turbine driven CCHP system for large office buildings under different operating strategies. Energy and Buildings 42(10):1628-36.
115. Mago, P.J., and A.D. Smith. 2012. Evaluation of the potential emissions reductions from the use of CHP systems in different commercial buildings. Building and Environment 53:74-82.
116. Majumdar, S.,D. Chattopadhyay, and J. Parikh. 1996. Interruptible load management using optimal power flow analysis. IEEE Transactions on Power Systems 11(2):715-20.
117. Massie, D.D., J.F. Kreider, and P.S. Curtiss. 2004. Neural Network Optimal Controller for Commercial Ice Thermal Storage Systems. ASHRAE Transactions 110(2):361-9.
118. Matallanas, E.,M.Castillo-Cagigal,A. Gutiérrez,F. Monasterio-Huelin, E. Caamaño-Martín, D.Masa, and J. Jiménez-Leube. 2012. Neural network controller for Active Demand-Side Management with PV energy in the residential sector. Applied Energy 91(1):90-7.
119. Medina, J., N. Muller, and I. Roytelman. 2010. Demand Response and Distribution Grid Operations: Opportunities and Challenges. IEEE Transactions on Smart Grid 1(2):193-8.
120. Mellit, A., M. Benghanem, and S.A. Kalogirou. 2006. An adaptive wavelet-network model for forecasting daily total solar-radiation. Applied Energy 83(7):705-22.
121. Middelberg, A., J.F. Zhang, and X.H. Xia. 2009. An optimal control model for load shifting-With application in the energy management of a colliery. Applied Energy 86(7-8):1266-73.
122. Mitra, S., L. Sun, and I.E. Grossmann. 2013. Optimal scheduling of industrial combined heat and power plants under time-sensitive electricity prices. Energy 54(1):194-211.
123. Molderink, A., V. Bakker, M.G.C. Bosman, J.L. Hurink, and G.J.M. Smit. 2010. Management and Control of Domestic Smart Grid Technology. IEEE Transactions on Smart Grid 1(2):109-19.
124. Moon, J.W., and J.J. Kim. 2010. ANN-based thermal control models for residential buildings. Building and Environment 45(7):1612-25.
125. Morgan, S., andM.Krarti. 2010. Field testing of optimal controls of passive and active thermal storage. ASHRAE Transactions 116:134-46.
126. Newsham, G.R., B.J. Birt, and I.H. Rowlands. 2011. A comparison of four methods to evaluate the effect of a utility residential airconditioner load control program on peak electricity use. Energy Policy 39(10):6376-89.
127. Newsham, G.R., A.D. Galasiu, M.M. Armstrong, I. Beausoleil-Morrison, F. Szadkowski, J.M. Sager, A.J. Pietila, and I.H. Rowlands. 2013. The zero-peak house: Full-scale experiments and demonstration. Energy and Buildings 64:483-92.
128. Nghiem, T.X., M. Behl, R. Mangharam, and G.J.Pappas. 2011. Green scheduling of control systems for peak demand reduction. Proceedings of Decision and Control and European Control Conference (CDC-ECC), Orlando, FL, December 15-17, pp. 5131-6.
129. Nghiem, T.X., G.J. Pappas, and R. Mangharam. 2013. Event-based Green scheduling of radiant systems in buildings. Proceedings of American Control Conference (ACC),Washington, DC, June 17-19. pp. 455-60.
130. Niro, G., D. Salles, M.V.P. Alcântara, and L.C.P. da Silva. 2013. Largescale control of domestic refrigerators for demand peak reduction in distribution systems. Electric Power Systems Research 100:34-42.
131. NIST. 2012. NIST Framework and Roadmap for Smart Grid Interoperability Standards, Release 2.0. NIST Special Publication 1108R2. http://www.nist.gov/ smartgrid/upload/NISTFrameworkRelease2-0 corr.pdf
132. Nolde, K., and M. Morari. 2010. Electrical load tracking scheduling of a steel plant. Computers & Chemical Engineering 34(11):1899-903.
133. Omer, A.M. 2008. Energy, environment and sustainable development. Renewable and Sustainable Energy Reviews 12(9):2265-300.
134. Pacheco, R., J. Ordóñez, and G. Martínez. 2012. Energy efficient design of building: A review. Renewable and Sustainable Energy Reviews 16(6):3559-73.
135. Parameshwaran, R., S. Kalaiselvam, S. Harikrishnan, and A. Elayaperumal. 2012. Sustainable thermal energy storage technologies for buildings: A review. Renewable and Sustainable Energy Reviews 16(5):2394-433.
136. Paull, L., H. Li, and L.C. Chang. 2010. A novel domestic electric water heater model for a multi-objective demand side management program. Electric Power Systems Research 80(12):1446-51.
137. Peacock, A.D., and M. Newborough. 2007. Controlling micro-CHP systems to modulate electrical load profiles. Energy 32(7):1093-103.
138. Pedrasa, M.A.A., T.D. Spooner, and I.F. MacGill. 2010. Coordinated Scheduling of Residential Distributed Energy Resources to Optimize Smart Home Energy Services. IEEE Transactions on Smart Grid 1(2):134-43.
139. Pelzer, R., E.H. Mathews, D.F. le Roux, and M. Kleingeld. 2008. A new approach to ensure successful implementation of sustainable demand side management (DSM) in South African mines. Energy 33(8):1254-63.
140. Pérez-Lombard, L., J. Ortiz, and C. Pout. 2008. A review on buildings energy consumption information. Energy and Buildings 40(3):394-8.
141. Perfumo, C., E. Kofman, J.H. Braslavsky, and J.K. Ward. 2012. Load management: Model-based control of aggregate power for populations of thermostatically controlled loads. Energy Conversion and Management 55:36-48.
142. Pietila, A., I. Beausoleil-Morrison, and G.R. Newsham. 2012. Zero peak housing: Exploring the possibility of eliminating electrical draws from houses during periods of high demand on the electrical grid. Building and Environment 58:103-13.
143. Poel, B., G. van Cruchten, and C.A. Balaras. 2007. Energy performance assessment of existing dwellings. Energy and Buildings 39(4):393-403.
144. Qi, R.H., L. Lu, and H.X. Yang. 2012. Investigation on air-conditioning load profile and energy consumption of desiccant cooling system for commercial buildings in Hong Kong. Energy and Buildings 49:509-18.
145. Qureshi, W.A., N.C. Nair, and M.M. Farid. 2011. Impact of energy storage in buildings on electricity demand side management. Energy Conversion and Management 52(5):2110-20.
146. Rahimi, F., and A. Ipakchi. 2010. Demand Response as a Market Resource Under the Smart Grid Paradigm. IEEE Transactions on Smart Grid 1(1):82-8.
147. Rankin, R., and P.G.Rousseau. 2008.Demandside management in South Africa at industrial residence water heating systems using in line water heating methodology. Energy Conversion and Management 49(1):62-74.
148. Ren, P., Z. Xiang, and Z.L. Qiu. 2013. Intelligent domestic electricity management system based on analog-distributed hierarchy. International Journal of Electrical Power & Energy Systems 46:400-4.
149. Reynders, G., T. Nuytten, and D. Saelens. 2013. Potential of structural thermal mass for demand-side management in dwellings. Building and Environment 64:187-99.
150. Rijksen, D.O., C.J. Wisse, and A.W.M. van Schijndel. 2010. Reducing peak requirements for cooling by using thermally activated building systems. Energy and Buildings 42(3):298-304.
151. Sadineni, S.B., S. Madala, and R.F. Boehm. 2011. Passive building energy savings: A review of building envelope components. Renewable and Sustainable Energy Reviews 15(8):3617-31.
152. Saele, H., and O.S. Grande. 2011. Demand Response From Household Customers:ExperiencesFroma Pilot Study in Norway. IEEETransactions on Smart Grid 2(1):102-9.
153. Schweppe, F.C., M.C. Caramanis, R.D. Tabors. 1988. Spot Pricing of Electricity. Boston, MA: Kluwer Academic Publishers.
154. Sehar, F., S. Rahman, and M. Pipattanasomporn. 2012. Impacts of ice storage on electrical energy consumptions in office buildings. Energy and Buildings 51:255-62.
155. Siler-Evans, K., M.G. Morgan, and I.L. Azevedo. 2012. Distributed cogeneration for commercial buildings: Can we make the economics work? Energy Policy 42:580-90.
156. Siwek, K., S. Osowski, and R. Szupiluk. 2009. Ensemble neural network approach for accurate load forecasting in a power system. International Journal of AppliedMathematics and Computer Science 19(2):303-15.
157. Smith, A.D., P.J. Mago, and N. Fumo. 2013. Benefits of thermal energy storage option combined with CHP system for different commercial building types. Sustainable Energy Technologies and Assessments 1:3-12.
158. Stadler, I. 2008. Power grid balancing of energy systems with high renewable energy penetration by demand response. Utilities Policy 16(2):90-8.
159. Stetiu, C. 1999. Energy and peak power savings potential of radiant cooling systems in US commercial buildings. Energy and Buildings 30(2):127-38.
160. Sun, L.L., and H.X. Yang. 2010. Impacts of the shading-type buildingintegrated photovoltaic claddings on electricity generation and cooling load component through shaded windows. Energy and Buildings 42(4):455-60.
161. Sun, Y.J., S.W. Wang, and G.S. Huang. 2009. Chiller sequencing control with enhanced robustness for energy efficient operation. Energy and Buildings 41(11):1246-55.
162. Sun, Y.J., S.W. Wang, and G.S. Huang. 2010a. Model-based optimal start control strategy for multi-chiller plants in commercial buildings. Building Services Engineering Research & Technology 31(2): 113-29.
163. Sun, Y.J., S.W. Wang and G.S. Huang. 2010b. A demand limiting strategy for maximizing monthly cost savings of commercial buildings. Energy and Buildings 42(11):2219-30.
164. Sun, Y.J., S.W. Wang, F. Xiao, and D.C. Gao. 2013. Peak load shifting control using different cold thermal energy storage facilities in commercial buildings: A review. Energy Conversion and Management 71:101-14.
165. Sun, Y.J., S.W. Wang, F. Xiao, and G.S. Huang. 2012. A study of precooling impacts on peak demand limiting in commercial buildings. HVAC&R Research 18(6):1098-111.
166. Surles, W., and G.P. Henze. 2012. Evaluation of automatic priced based thermostat control for peak energy reduction under residential timeof-use utility tariffs. Energy and Buildings 49:99-108.
167. Synnefa, A., M. Santamouris, and H. Akbari. 2007. Estimating the effect of using cool coatings on energy loads and thermal comfort in residential buildings in various climatic conditions. Energy and Buildings 39(11):1167-74.
168. Tatsidjodoung, P., N. Le Pierrès, and L. Luo. 2013. A review of potential materials for thermal energy storage in building applications. Renewable and Sustainable Energy Reviews 18: 327-49.
169. Tiptipakorn, S., and W.J. Lee. 2007. A residential consumer-centered load control strategy in real-time electricity pricing environment. Proceedings of Power Symposium (NAPS'07), 39thNorth American, Las Cruces, NM, September 30-October 2, pp. 505-10.
170. Trifunovic, J., J.Mikulovic, Z. Djurisic, M. Djuric, and M. Kostic. 2009. Reductions in electricity consumption and power demand in case of the mass use of compact fluorescent lamps. Energy 34(9):1355-63.
171. Trifunovic, J., J. Mikulovic, Z. Djurisic, and M. Kostic. 2011. Reductions in electricity losses in the distribution power system in case of the mass use of compact fluorescent lamps. Electric Power Systems Research 81(2):465-77.
172. U.S. Department of Energy. 2003. "Grid 2030"-A National Vision for Electricity's Second 100 Years. http://www.energy.gov/sites/prod/files/ oeprod/DocumentsandMedia/Electric Vision Document.pdf.
173. U.S. Department of Energy. 2006. Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them. http://eetd.lbl.gov/ EA/EMS/reports/congress-1252d.pdf.
174. Vazquez, S., S.M. Lukic, E. Galvan, L.G. Franquelo, and J.M. Carrasco. 2010. Energy Storage Systems for Transport and Grid Applications. IEEE Transactions on Industrial Electronics 57(12):3881-95.
175. Venkatesan, N., J. Solanki, and S.K. Solanki. 2012. Residential Demand Response model and impact on voltage profile and losses of an electric distribution network. Applied Energy 96:84-91.
176. Vokas,G.,N.Christandonis, andF. Skittides. 2006. Hybrid photovoltaicthermal systems for domestic heating and cooling-A theoretical approach. Solar Energy 80(5):607-15.
177. Walsh, B.P., S.N.Murray, and D.T.J. O'Sullivan. 2013. Free-cooling thermal energy storage using phase change materials in an evaporative cooling system. Applied Thermal Engineering 59(1-2):618-26.
178. Wang, D., S. Parkinson, W. Miao, H. Jia, C. Crawford, and N. Djilali. 2012. Online voltage security assessment considering comfortconstrained demand response control of distributed heat pump systems. Applied Energy 96:104-14.
179. Wang, N., J.F. Zhang, and X.H. Xia. 2013. Energy consumption of air conditioners at different temperature set points. Energy and Buildings 65:412-8.
180. Wang, P., H. Zareipour, andW.D. Rosehart. 2011. Characteristics of the prices of operating reserves and regulation services in competitive electricity markets. Energy Policy 39(6):3210-21.
181. Wang, S.W., and Z.J. Ma. 2008. Supervisory and Optimal Control of Building HVAC Systems: A Review. HVAC&R Research 14(1): 3-32.
182. Wang, S.W., and X.H. Xu. 2006a. Parameter estimation of internal thermal mass of building dynamic models using genetic algorithm. Energy Conversion and Management 47(13-14):1927-41.
183. Wang, S.W., and X.H Xu. 2006b. Simplified building model for transient thermal performance estimation using GA-based parameter identification. International Journal of Thermal Sciences 45(4):419-32.
184. Wang, X.C., P. Guo, and X.B. Huang. 2011. A Review of Wind Power Forecasting Models. Energy Procedia 12:770-8.
185. Waqas, A., and Z.U. Din. 2013. Phase change material (PCM) storage for free cooling of buildings-A review. Renewable and Sustainable Energy Reviews 18:607-25.
186. Watson, D.S., S. Kiliccote, N. Motegi, and M.A. Piette. 2006. Strategies for demand response in commercial buildings. Proceedings of ACEEE Summer Study on Energy Efficiency in Buildings, Pacific Grove, CA, August 13-18. http://drrc.lbl.gov/publications/strategies-demand-response-commercial- buildings.
187. Williams, T., D. Wang, C. Crawford, and N. Djilali. 2013. Integrating renewable energy using a smart distribution system: Potential of self-regulating demand response. Renewable Energy 52:46-56.
188. Wong, P.W., Y. Shimoda, M. Nonaka, M. Inoue, and M. Mizuno. 2008. Semi-transparent PV: Thermal performance, power generation, daylight modelling and energy saving potential in a residential application. Renewable Energy 33(5):1024-36.
189. Woo, C.K., R. Li, A. Shiu, and I. Horowitz. 2013. Residential winter kW h responsiveness under optional time-varying pricing in British Columbia. Applied Energy 108:288-97.
190. Xu, P., P.Haves, J.E.Braun, andL.T. Hope. 2004. Peak demand reduction from pre-cooling with zone temperature reset in an office building. Proceedings ofACEEEsummer study of energy efficiency in buildings, Pacific Grove, CA, August 22-27.
191. Xu, P., P. Haves, M.A. Piette, and L. Zagreus. 2005. LBNL-58815, Demand shifting with thermal mass in large commercial buildings: Field tests, simulations and audits. Berkeley, CA: Lawrence Berkeley National Laboratory.
192. Xu, P., and L. Zagreus. 2006. LBNL-61172, Demand shifting with thermal mass in light and heavy mass commercial buildings. Berkeley, CA: Lawrence Berkeley National Laboratory.
193. Xu, S.L., D.H. Feng, Z. Yan, L. Zhang, N.H Li, L. Jing, and J.H.Wang. 2013. Ant-Based Swarm Algorithm for Charging Coordination of Electric Vehicles. International Journal of Distributed Sensor Networks, doi: 10.1155/2013/268942.
194. Yamaha, M., and S. Misaki. 2006. The Evaluation of Peak Shaving by a Thermal Storage System Using Phase-Change Materials in Air Distribution Systems. HVAC&R Research 12(3):861-9.
195. Yan, C.C., S.W. Wang and F. Xiao. 2012. A simplified energy performance assessment method for existing buildings based on energy bill disaggregation. Energy and Buildings 55:563-74.
196. Yang, H., L. Lu, and W. Zhou. 2007. A novel optimization sizing model for hybrid solar-wind power generation system. Solar Energy 81(1):76-84.
197. Yang, L.N., and Y.G. Li. 2008. Cooling load reduction by using thermal mass and night ventilation. Energy and Buildings 40(11): 2052-8.
198. Yao, Y., Z.W. Lian, S.Q. Liu, and Z.J. Hou. 2004. Hourly cooling load prediction by a combined forecasting model based on Analytic Hierarchy Process. International Journal of Thermal Sciences 43(11):1107-18.
199. Yin, R.X., P. Xu, M.A. Piette, and S. Kiliccote. 2010. Study on Auto-DR and pre-cooling of commercial buildings with thermal mass in California. Energy and Buildings 42(7):967-75.
200. Yogev, R., and A. Kribus. 2013. Operation strategies and performance of solar thermal power plants operating from PCM storage. Solar Energy 95:170-80.
201. Yousefi, S., M.P. Moghaddam, and V.J. Majd. 2011. Optimal real time pricing in an agent-based retail market using a comprehensive demand response model. Energy 36(9):5716-27.
202. Yuan, J.H., and Z.G. Hu. 2011. Low carbon electricity development in China-An IRSP perspective based on super smart grid. Renewable and Sustainable Energy Reviews 15(6):2707-13.
203. Zarnikau, J., G. Landreth, I. Hallett, and S.C. Kumbhakar. 2007. Industrial customer response to wholesale prices in the restructured Texas electricity market. Energy 32(9):1715-23.
204. Zeng, Z., H. Yang, R.X. Zhao, and C. Cheng. 2013. Topologies and control strategies of multi-functional grid-connected inverters for power quality enhancement: A comprehensive review. Renewable and Sustainable Energy Reviews 24:223-70.
205. Zhang, D., N. Shah, and L.G. Papageorgiou. 2013. Efficient energy consumption and operation management in a smart building with microgrid. Energy Conversion and Management 74:209-22.
206. Zhang, H., A. Davigny, F. Colas, Y. Poste, and B. Robyns. 2012. Fuzzy logic based energy management strategy for commercial buildings integrating photovoltaic and storage systems. Energy and Buildings 54:196-206.
207. Zhang, Y.P., G.B. Zhou, K.P. Lin, Q.L. Zhang, and H.F. Di. 2007. Application of latent heat thermal energy storage in buildings: State-of-the-art and outlook. Building and Environment 42(6): 2197-209.
208. Zhao, C., J. Wang, J.P. Watson, and Y. Guan. 2013. Multi-Stage Robust Unit Commitment Considering Wind and Demand Response Uncertainties. IEEE Transactions on Power Systems 28(3): 2708-17.
209. Zhao, F., J.H.Wang, V.Koritarov, andG. Augenbroe. 2010. Agent-based modeling of interaction between commercial building stocks and power grid. Proceedings of IEEE Conference on Innovative Technologies for an Efficient and Reliable Electricity Supply (CITRES), Waltham, MA, September 27-29, pp. 225-32.
210. Zhao, J.Y., S. Kucuksari, E. Mazhari, and Y.J. Son. 2013. Integrated analysis of high-penetration PV and PHEV with energy storage and demand response. Applied Energy 112:35-51.
211. Zhao, X., J. Ostergaard, and M. Togeby. 2011. Demand as frequency controlled reserve. IEEE Transactions on Power Systems 26(3):1062-071.
212. Zhou, G., G.P. Henze, and M. Krarti. 2005. Parametric analysis of active and passive building thermal storage utilization. Journal of Solar Energy Engineering 127(1):37-46.
213. Zhou, K.L., S.L. Yang, and C. Shen, 2013. A review of electric load classification in smart grid environment. Renewable and Sustainable Energy Reviews 24:103-10.
214. Zhou, W., H. Yang, and L. Lu. 2010. Current status of research on optimum sizing of stand-alone hybrid solar-wind power generation system. Applied Energy 87(2):380-9.
215. Zhu, N., Z.J. Ma, and S.W. Wang. 2009. Dynamic characteristics and energy performance of buildings using phase change materials: A review. Energy Conversion and Management 50(12):3169-81.
216. Zhu, N., S.W. Wang, X.H. Xu, and Z.J. Ma. 2010. A simplified dynamic model of building structures integrated with shaped-stabilized phase change materials. International Journal of Thermal Sciences 49(9):1722-31.