메뉴 건너뛰기




Volumn 168, Issue , 2016, Pages 159-170

Demand-response in building heating systems: A Model Predictive Control approach

Author keywords

Building heating systems; Demand response; Energy management systems; Mathematical modeling; Model Predictive Control; Optimization

Indexed keywords

BUILDINGS; CONTROL THEORY; ENERGY MANAGEMENT SYSTEMS; HEATING EQUIPMENT; INTEGER PROGRAMMING; MATHEMATICAL MODELS; OPTIMIZATION;

EID: 84956858643     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2016.01.088     Document Type: Article
Times cited : (145)

References (31)
  • 1
    • 79953151399 scopus 로고    scopus 로고
    • Reducing peak electricity demand in building climate control using real-time pricing and model predictive control
    • Oldewurtel F, Ulbig A, Parisio A, Andersson G, Morari M. Reducing peak electricity demand in building climate control using real-time pricing and model predictive control. In: 49th IEEE conference on decision and control (CDC), 2010; 2010. p. 1927-32. http://dx.doi.org/10.1109/CDC.2010.5717458. doi:10.1109/CDC.2010.5717458.
    • (2010) 49th IEEE conference on decision and control (CDC) , vol.2010 , pp. 1927-1932
    • Oldewurtel, F.1    Ulbig, A.2    Parisio, A.3    Andersson, G.4    Morari, M.5
  • 2
  • 4
    • 84883510562 scopus 로고    scopus 로고
    • Building energy model reduction for model predictive control using openstudio
    • Cole W, Hale E, Edgar T. Building energy model reduction for model predictive control using openstudio. In: American control conference (ACC), 2013; 2013. p. 449-54.
    • (2013) American control conference (ACC) , vol.2013 , pp. 449-454
    • Cole, W.1    Hale, E.2    Edgar, T.3
  • 6
    • 84930947616 scopus 로고    scopus 로고
    • Development of a model predictive control framework through real-time building energy management system data
    • Kwak Y., Huh J.-H., Jang C. Development of a model predictive control framework through real-time building energy management system data. Appl Energy 2015, 155(0):1-13.
    • (2015) Appl Energy , vol.155 , pp. 1-13
    • Kwak, Y.1    Huh, J.-H.2    Jang, C.3
  • 8
    • 82855164116 scopus 로고    scopus 로고
    • Present status and future trends in enabling demand response programs
    • IEEE
    • Baboli P., Moghaddam M., Eghbal M. Present status and future trends in enabling demand response programs. Power and energy society general meeting, 2011 2011, 1-6. IEEE, http://dx.doi.org/10.1109/PES.2011.6039608.
    • (2011) Power and energy society general meeting, 2011 , pp. 1-6
    • Baboli, P.1    Moghaddam, M.2    Eghbal, M.3
  • 13
    • 84936869396 scopus 로고    scopus 로고
    • A new thermostat for real-time price demand response: cost, comfort and energy impacts of discrete-time control without deadband
    • Chassin D.P., Stoustrup J., Agathoklis P., Djilali N. A new thermostat for real-time price demand response: cost, comfort and energy impacts of discrete-time control without deadband. Appl Energy 2015, 155(0):816-825.
    • (2015) Appl Energy , vol.155 , pp. 816-825
    • Chassin, D.P.1    Stoustrup, J.2    Agathoklis, P.3    Djilali, N.4
  • 14
    • 84929457891 scopus 로고    scopus 로고
    • Integrated modeling of active demand response with electric heating systems coupled to thermal energy storage systems
    • Patteeuw D., Bruninx K., Arteconi A., Delarue E., D'haeseleer W., Helsen L. Integrated modeling of active demand response with electric heating systems coupled to thermal energy storage systems. Appl Energy 2015, 151(0):306-319.
    • (2015) Appl Energy , vol.151 , pp. 306-319
    • Patteeuw, D.1    Bruninx, K.2    Arteconi, A.3    Delarue, E.4    D'haeseleer, W.5    Helsen, L.6
  • 15
    • 84924229496 scopus 로고    scopus 로고
    • Targeting existing power plants: EPA emission reduction with wind and demand response
    • Cardell J., Anderson C. Targeting existing power plants: EPA emission reduction with wind and demand response. Energy Policy 2015, 80:11-23. http://dx.doi.org/10.1016/j.enpol.2015.01.021.
    • (2015) Energy Policy , vol.80 , pp. 11-23
    • Cardell, J.1    Anderson, C.2
  • 16
    • 82155166220 scopus 로고    scopus 로고
    • Agent-based electricity market simulation with demand response from commercial buildings
    • Zhou Z., Zhao F., Wang J. Agent-based electricity market simulation with demand response from commercial buildings. IEEE Trans Smart Grid 2011, 2(4):580-588.
    • (2011) IEEE Trans Smart Grid , vol.2 , Issue.4 , pp. 580-588
    • Zhou, Z.1    Zhao, F.2    Wang, J.3
  • 17
    • 84921433538 scopus 로고    scopus 로고
    • A real-time demand response algorithm for heterogeneous devices in buildings and homes
    • Hong S.H., Yu M., Huang X. A real-time demand response algorithm for heterogeneous devices in buildings and homes. Energy 2015, 80:123-132.
    • (2015) Energy , vol.80 , pp. 123-132
    • Hong, S.H.1    Yu, M.2    Huang, X.3
  • 18
    • 0023865946 scopus 로고
    • Control system simulation in North America
    • Kelly G.E. Control system simulation in North America. Energy Build 1988, 10(3):193-202.
    • (1988) Energy Build , vol.10 , Issue.3 , pp. 193-202
    • Kelly, G.E.1
  • 19
    • 84902313017 scopus 로고    scopus 로고
    • Smart building real time pricing for offering load-side regulation service reserves
    • Bilgin E, Caramanis MC, Paschalidis IC. Smart building real time pricing for offering load-side regulation service reserves. In: IEEE 52nd annual conference on decision and control (CDC), 2013; 2013. p. 4341-8. http://dx.doi.org/10.1109/CDC.2013.6760557. doi:10.1109/CDC.2013.6760557.
    • (2013) IEEE 52nd annual conference on decision and control (CDC) , vol.2013 , pp. 4341-4348
    • Bilgin, E.1    Caramanis, M.C.2    Paschalidis, I.C.3
  • 20
    • 77951104198 scopus 로고    scopus 로고
    • A software framework for model predictive control with GenOpt
    • Coffey B., Haghighat F., Morofsky E., Kutrowski E. A software framework for model predictive control with GenOpt. Energy Build 2010, 42(7):1084-1092.
    • (2010) Energy Build , vol.42 , Issue.7 , pp. 1084-1092
    • Coffey, B.1    Haghighat, F.2    Morofsky, E.3    Kutrowski, E.4
  • 21
    • 84908576817 scopus 로고    scopus 로고
    • A fast chiller power demand response control strategy for buildings connected to smart grid
    • Xue X., Wang S., Yan C., Cui B. A fast chiller power demand response control strategy for buildings connected to smart grid. Appl Energy 2015, 137:77-87.
    • (2015) Appl Energy , vol.137 , pp. 77-87
    • Xue, X.1    Wang, S.2    Yan, C.3    Cui, B.4
  • 22
    • 84892589264 scopus 로고    scopus 로고
    • Dynamic demand response controller based on real-time retail price for residential buildings
    • Yoon J.H., Baldick R., Novoselac A. Dynamic demand response controller based on real-time retail price for residential buildings. IEEE Trans Smart Grid 2014, 5(1):121-129.
    • (2014) IEEE Trans Smart Grid , vol.5 , Issue.1 , pp. 121-129
    • Yoon, J.H.1    Baldick, R.2    Novoselac, A.3
  • 23
    • 84903607994 scopus 로고    scopus 로고
    • Demand response for residential buildings based on dynamic price of electricity
    • Yoon J.H., Bladick R., Novoselac A. Demand response for residential buildings based on dynamic price of electricity. Energy Build 2014, 80:531-541.
    • (2014) Energy Build , vol.80 , pp. 531-541
    • Yoon, J.H.1    Bladick, R.2    Novoselac, A.3
  • 24
    • 84956856062 scopus 로고    scopus 로고
    • Online
    • EnergyPlus engineering reference. Online. http://apps1.eere.energy.gov/buildings/energyplus/.
  • 26
    • 84869383101 scopus 로고    scopus 로고
    • Scalable scheduling of building control systems for peak demand reduction
    • Nghiem T, Behl M, Mangharam R, Pappas G. Scalable scheduling of building control systems for peak demand reduction. In: American control conference (ACC), 2012; 2012. p. 3050-5.
    • (2012) American control conference (ACC) , vol.2012 , pp. 3050-3055
    • Nghiem, T.1    Behl, M.2    Mangharam, R.3    Pappas, G.4
  • 27
  • 31
    • 84956857778 scopus 로고    scopus 로고
    • IBM ILOG Cplex optimizer. Online
    • IBM. IBM ILOG Cplex optimizer. Online. http://www-01.ibm.com/software/integration/optimization/cplex-optimizer/.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.