Development and application of a Predictive Controller to a mini district heating network fed by a biomass boiler

被引:13
|
作者
Dainese, Carlotta [1 ]
Fae, Mirco [1 ]
Gambarotta, Agostino [2 ]
Morini, Mirko [3 ]
Premoli, Massimiliano [1 ]
Randazzo, Giuliano [1 ]
Rossi, Michele [1 ,3 ]
Rovati, Massimo [1 ]
Saletti, Costanza [3 ]
机构
[1] Siram Veolia, Via Bisceglie 95, I-20152 Milan, Italy
[2] Univ Parma, CIDEA Interdipartimental Ctr Energy & Environm, Parco Area Sci 42, I-43124 Parma, Italy
[3] Univ Parma, Dept Engn & Architecture, Parco Area Sci 181-A, I-43124 Parma, Italy
关键词
Smart Grid; District Heating Networks; Model predictive control; THERMOCLINE STORAGE; SIMULATION;
D O I
10.1016/j.egypro.2018.12.016
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Energy saving is actually recognized as one of the most significant ways to reduce primary energy consumption and pollutant emissions. Due to the remarkable importance of heating systems and heat distribution grids, Siram by Veolia and the University of Parma have developed an optimal control system for District Heating Networks. Usually building control systems are designed to manage plants relying on past experience: the optimal control system described in the paper defines plant management strategy on the basis of the future behavior of the systems and the external environment. The proposed control system has been applied to the heating system and the distribution network of a school complex in Podenzano (Emilia-Romagna region). The district heating supplies heat to three different buildings (primary school, secondary school and sports hall). The heating plant is composed of three generators (two fed by natural gas and one by wooden biomass), a Thermal Energy Storage, two main distribution manifolds (supply and return) and three secondary circuits, which distribute heat to the buildings. In the first part of the paper the control algorithm is described, split into plant simulation models and the optimization algorithm. In the second part, the real application and the new communication architecture applied on site are outlined and, finally, the obtained results are reported highlighting the management strategies of generators and pumps. The optimal control strategy application gave important results in terms of energy saving, in particular the energy supplied to the buildings dropped significantly, this is the result of knowing the building behavior in advance. (C) 2019 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:48 / 53
页数:6
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