Comparison of control systems for the optimisation of ice storage in a dynamic real time electricity pricing environment

Applied Energy

Volumn 149, Issue , 2015, Pages 392-403

  Murphy, M D ^a   O'Mahony, M J ^a   Upton, J ^b  

^a Ireland   (Ireland)

^b ANIMAL AND GRASSLAND RESEARCH AND INNOVATION CENTRE   (Ireland)

Author keywords

Demand side management; Energy storage optimisation; Real time electricity pricing

Indexed keywords

ALGORITHMS; ATMOSPHERIC TEMPERATURE; CONTROL SYSTEMS; COOLING SYSTEMS; COSTS; ELECTRIC ENERGY STORAGE; ELECTRIC LOAD FORECASTING; ELECTRIC UTILITIES; ENERGY CONSERVATION; ENVIRONMENTAL MANAGEMENT; FORECASTING; HEAT CONVECTION; HEAT STORAGE; ICE; ICE CONTROL; OPTIMIZATION; REAL TIME SYSTEMS; STORAGE MANAGEMENT; THERMAL PROCESSING (FOODS);

COLD THERMAL STORAGE; COST OF ELECTRICITY; DEMAND SIDE MANAGEMENTS; ELECTRICITY PRICES; ELECTRICITY PRICING; FOOD REFRIGERATION; OPERATING CONDITION; OPTIMISATIONS;

CONTROLLERS;

AIR TEMPERATURE; COLD TOLERANCE; COMPARATIVE STUDY; CONTROL SYSTEM; DEMAND-SIDE MANAGEMENT; ELECTRICITY SUPPLY; OPTIMIZATION; REAL TIME;

IRELAND;

EID: 84927727491     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2015.03.006     Document Type: Article

References (44)

1. Andersson M., Karlsson B. Cost-effective incentives for cooperation between participants in the electricity market. Appl Energy 1996, 54(4):301-313.
2. Ericson T. Households' self-selection of dynamic electricity tariffs. Appl Energy 2011, 88(7):2541-2547.
3. Upton J., Murphy M., Shalloo L., Groot Koerkamp P.W.G., De Boer I.J.M. Assessing the impact of changes in the electricity price structure on dairy farm energy costs. Appl Energy 2015, 137:1-8.
4. Foley A., Tyther B., Calnan P., O'Gallachóir B. Impacts of electric vehicle charging under electricity market operations. Appl Energy 2013, 101:93-102.
5. Mohsenian-Rad A., Wong V.W.S., Jatskevich J., Schober R., Leon-Garcia A. Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid. IEEE Trans Smart Grid 2010, 1(3):320-331.
6. Hubert T., Grijalva S. Modeling for residential electricity optimization in dynamic pricing environments. IEEE Trans Smart Grid 2012, 3(4):2224-2231.
7. Finn P., O'Connell M., Fitzpatrick C. Demand side management of a domestic dishwasher: wind energy gains, financial savings and peak-time load reduction. Appl Energy 2013, 101:678-685.
8. Sreedharan P., Miller D., Price S., Woo C.K. Avoided cost estimation and cost-effectiveness of permanent load shifting in California. Appl Energy 2012, 96:115-121.
9. Bartusch C., Alvehag K. Further exploring the potential of residential demand response programs in electricity distribution. Appl Energy 2014, 125:39-59.
10. Finn P., Fitzpatrick C., Connolly D., Leahy M., Relihan L. Facilitation of renewable electricity using price based appliance control in Ireland's electricity market. Energy 2011, 36(5):2952-2960.
11. Kahrobaee S., Rajabzadeh R.A., Leen-Kiat S., Asgarpoor S. A multiagent modeling and investigation of smart homes with power generation, storage, and trading features. IEEE Trans Smart Grid 2013, 4(2):659-668.
12. Xue X., Shengwei W., Sun Y., Xaio F. An interactive building power demand management strategy for facilitating smart grid optimization. Appl Energy 2014, 116(1):297-310.
13. Pöyry. Time of use tariffs mandate: a report to the commission for energy regulation. Pöyry; 2012.
14. Mohamed M. Solidification of phase change material on vertical cylindrical surface in holdup air bubbles. Int J Refrig 2005, 28(3):403-411.
15. Halvgaard R, Poulsen NK, Madsen H, Jorgensen JB. Economic model predictive control for building climate control in a smart grid. In: Proceedings of innovative smart grid technologies (ISGT 2012); 2012. p. 1-6.
16. Hong Y.Y., Lin J.K., Wu C.P., Chuang C.C. Multi-objective air-conditioning control considering fuzzy parameters using immune clonal selection programming. IEEE Trans Smart Grid 2012, 3(4):1603-1610.
17. O'Dwyer C, Duignan R, O'Malley M. Modeling demand response in the residential sector for the provision of reserves. In: Proceedings of power and energy society general meeting 2012; 2012. p. 1-8.
18. Henze G.P., Krarti M. Ice storage system controls for the reduction of operating cost and energy use. J Solar Energy Eng-Trans ASME 1998, 120(4):275-281.
19. Doty S., Turner W. Energy management handbook 2009, Taylor & Francais, Florida.
20. Tiptipakorn S, Lee WJ. A residential consumer-centered load control strategy in real-time electricity pricing environment. In: Proceedings of 39th North American power symposium, NAPS'07; 2007. p. 505-10.
21. Zhang Z. Methodology for determining the optimal operating strategies for a chilled water storage system. Ph.D. Thesis. Dept. of Mechanical Engineering. Texas A&M University, Texas; 2010.
22. Thomas A.G., Jahangiri P., Wu D., Cai C., Zhao H., Aliprantis D.C., Tesfatsion L. Intelligent residential air-conditioning system with smart-grid functionality. IEEE Trans Smart Grid 2012, 3(4):2240-2251.
23. Martín L., Zarzalejo L.F., Polo J., Navarro A., Marchante R., Cony M. Prediction of global solar irradiance based on time series analysis: application to solar thermal power plants energy production planning. Sol Energy 2010, 84(10):1772-1781.
24. Mellit A., Pavan A.M. A 24-h forecast of solar irradiance using artificial neural network: application for performance prediction of a grid-connected PV plant at Trieste, Italy. Solar Energy 2010, 84(5):807-821.
25. Barbounis T.G., Theocharis J.B., Alexiadis M.C., Dokopoulos P.S. Long-term wind speed and power forecasting using local recurrent neural network models. IEEE Trans Energy Convers 2006, 21(1):273-284.
26. Roulston M.S., Kaplan D.T., Hardenberg J., Smith L.A. Using medium-range weather forecasts to improve the value of wind energy production. Renewable Energy 2003, 28(4):585-602.
27. Taylor J.W., McSharry P.E., Buizza R. Wind power density forecasting using ensemble predictions and time series models. IEEE Trans Energy Convers 2009, 24(3):775-782.
28. Yang J., Rivard H., Zmeureanu R. On-line building energy prediction using adaptive artificial neural networks. Energy Build 2005, 37(12):1250-1259.
29. Lapedes A, Farber R. Nonlinear signal processing using neural networks: prediction and system modeling. NM, Los Alamos National Laboratory; 1987.
30. Weigend A.S., Huberman D., Rumelhart D.E. Predicting the future: a connectionist approach. Int J Neural Syst 1990, 13:193-209.
31. Diaconescu E. Prediction of chaotic time series with NARX recurrent dynamic neural networks. Proceedings of the 9th WSEAS international conference international conference automation and information 2008, 248-253. World Scientific and Engineering Academy and Society (WSEAS), Bucharest, Romania.
32. Tsungnan L., Horne B.G., Tino P., Giles C.L. Learning long-term dependencies in NARX recurrent neural networks. IEEE Trans Neural Netw 1996, 7(6):1329-1338.
33. Sharma R.K., Sharma A.K., Kasana H.S. Prediction of first lactation 305-day milk yield in Karan Fries dairy cattle using ANN modeling. Appl Soft Comput 2007, 7(3):1112-1120.
34. Esen H., Inalli M., Sengur A., Esen M. Performance prediction of a ground-coupled heat pump system using artificial neural networks. Expert Syst Appl 2008, 35(4):1940-1948.
35. Dongre V.B., Gandhi R.S., Singh A., Ruhil A.P. Comparative efficiency of artificial neural networks and multiple linear regression analysis for prediction of first lactation 305-day milk yield in Sahiwal cattle. Livestock Sci 2012, 147(1-3):192-197.
36. MacKay D.J.C. Bayesian interpolation. Neural Comput 1992, 4(3):415-447.
37. Hagan M.T., Menhaj M.B. Training feedforward networks with the Marquardt algorithm. IEEE Trans Neural Netw 1994, 5(6):989-993.
38. Dan Foresee F, Hagan MT. Gauss-Newton approximation to Bayesian learning. In: Proceedings of the international conference on neural networks; 1997. p. 1930-5.
39. Demuth HB, Hagan MT, Beale M. Users' guide for the neural network toolbox for MATLAB. Natick, MA, The Mathworks; 2010.
40. Allcott H. Rethinking real-time electricity pricing. Resour Energy Econ 2011, 33(4):820-842.
41. Finn P., Fitzpatrick C. Demand side management of industrial electricity consumption: promoting the use of renewable energy through real-time pricing. Appl Energy 2014, 113:11-21.
42. Henze G.P., Dodier A., Robert H., Krarti M. Development of a predictive optimal controller for thermal energy storage systems. HVAC&R Res 1997, 3(3):233-264.
43. Bellman R. Dynamic programming. J Operat Res Soc Am 1955, 3(3). 352-352.
44. Hall C.A., Meyer W.W. Optimal error bounds for cubic spline interpolation. J Approx Theory 1976, 16(2):105-122.