Model predictive control technologies for efficient and flexible power consumption in refrigeration systems

Energy

Volumn 44, Issue 1, 2012, Pages 105-116

  Hovgaard, Tobias Gybel ^a,c   Larsen, Lars F S ^a   Edlund, Kristian ^b   Jørgensen, John Bagterp ^c  

^a DANFOSS A S   (Denmark)

^b DONG Energy AS   (Denmark)

^c TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Energy efficiency; Flexible demands; Model predictive control; Optimization; Robust performance; Smart Grids

Indexed keywords

ENERGY EFFICIENCY; HEAT STORAGE; IMPULSE RESPONSE; MODEL PREDICTIVE CONTROL; OPTIMIZATION; REFRIGERATION; REFRIGERATORS; SMART POWER GRIDS;

ANCILLARY SERVICE; BALANCING POWER MARKET; DAILY VARIATIONS; ELECTRICITY PRICES; FINITE-IMPULSE RESPONSE; FLEXIBLE DEMANDS; INTELLIGENT POWER; MODEL PREDICTIVE; NON-LINEAR OPTIMIZATION; NONCONVEX COST FUNCTIONS; OUTDOOR TEMPERATURE; PREDICTION UNCERTAINTY; PROBABILISTIC CONSTRAINTS; REFRIGERATION SYSTEM; ROBUST PERFORMANCE; SECOND-ORDER CONE PROGRAMMING; SMART GRID; SUPERMARKET REFRIGERATION; SYSTEM LOADS; SYSTEM MODELS; THERMAL STORAGE;

PREDICTIVE CONTROL SYSTEMS;

AIR CONDITIONING; COST-BENEFIT ANALYSIS; ENERGY EFFICIENCY; FUEL CONSUMPTION; MODEL VALIDATION; NONLINEARITY; NUMERICAL MODEL; OPTIMIZATION; UNCERTAINTY ANALYSIS;

EID: 84864329545     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2011.12.007     Document Type: Article

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