Model for optimal malfunction management in extended district heating networks

被引:19
作者
Guelpa, Elisa [1 ]
Verda, Vittorio [1 ]
机构
[1] Politecn Torino, Energy Dept, Corso Duca degli Abruzzi 24, I-10129 Turin, Italy
关键词
District heating system; Operation optimization; Leakages; Pipeline breakpu; Pump failure; Off-design conditions; FAILURE PROBABILITY; ENERGY-STORAGE; OPTIMIZATION; SYSTEM; TEMPERATURE; SIMULATION; CLASSIFICATION;
D O I
10.1016/j.apenergy.2018.08.024
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
The increasing number of district heating systems makes the management of operations both in normal conditions and in case of undesired events (failure of a device, breakups and leakages) a more and more important issue. In this paper, a methodology for the management of malfunctions in district heating systems are proposed. The approach is based on the optimization of the water transportation in the district heating network, with the goal of providing the end users with a heat flux as close as possible to their demand despite the failure. The optimizer includes a fluid dynamic model of the network able to take into account the pressure losses. along the pipelines as well as the contributions due to pumping. Two kinds of malfunctions were considered: leakages of pipelines and failure of a pumping station. Both types of malfunctions are managed using two alternative strategies, which differ on the type of independent variables that can be modified: a partial operation strategy, where only the pumping settings are modified, and a complete operation strategy, where also the production share of the different plants can be modified. An application to the Turin district heating network is presented. Results show the potentials of the proposed methodology to overcome or limit the effects of malfunctions. In particular, it is shown that the methodology, especially when complete operation strategy is used, allows an effective management of malfunctions that otherwise could create issues in the heating supply.
引用
收藏
页码:519 / 530
页数:12
相关论文
共 40 条
[1]   Integrated conceptual design of a robust and reliable waste-heat district heating system [J].
Ajah, Augustine N. ;
Patil, Anish C. ;
Herder, Paulien M. ;
Grievink, Johan .
APPLIED THERMAL ENGINEERING, 2007, 27 (07) :1158-1164
[2]  
[Anonymous], 1996, COMPUTATIONAL METHOD
[3]   A fuzzy inference system for pump failure diagnosis to improve maintenance process: The case of a petrochemical industry [J].
Azadeh, A. ;
Ebrahimipour, V. ;
Bavar, P. .
EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (01) :627-639
[4]   OPERATIONAL OPTIMIZATION IN A DISTRICT-HEATING SYSTEM [J].
BENONYSSON, A ;
BOHM, B ;
RAVN, HF .
ENERGY CONVERSION AND MANAGEMENT, 1995, 36 (05) :297-314
[5]   The classification and regression tree approach to pump failure rate analysis [J].
Bevilacqua, M ;
Braglia, M ;
Montanari, R .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2003, 79 (01) :59-67
[6]   Bottlenecks in district heating networks and how to eliminate them - A simulation and cost study [J].
Brange, Lisa ;
Lauenburg, Patrick ;
Sernhed, Kerstin ;
Thern, Marcus .
ENERGY, 2017, 137 :607-616
[7]   IoT Software Infrastructure for Energy Management and Simulation in Smart Cities [J].
Brundu, Francesco Gavino ;
Patti, Edoardo ;
Osello, Anna ;
Del Giudice, Matteo ;
Rapetti, Niccolo ;
Krylovskiy, Alexandr ;
Jahn, Marco ;
Verda, Vittorio ;
Guelpa, Elisa ;
Rietto, Laura ;
Acquaviva, Andrea .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 13 (02) :832-840
[8]   Optimization of a Distributed Cogeneration System with solar district heating [J].
Buoro, Dario ;
Pinamonti, Piero ;
Reini, Mauro .
APPLIED ENERGY, 2014, 124 :298-308
[9]   Heat Roadmap Europe: Combining district heating with heat savings to decarbonise the EU energy system [J].
Connolly, D. ;
Lund, H. ;
Mathiesen, B. V. ;
Werner, S. ;
Moller, B. ;
Persson, U. ;
Boermans, T. ;
Trier, D. ;
Ostergaard, P. A. ;
Nielsen, S. .
ENERGY POLICY, 2014, 65 :475-489
[10]   Methods for Large-Scale Monitoring of District Heating Systems Using Airborne Thermography [J].
Friman, Ola ;
Follo, Peter ;
Ahlberg, Jorgen ;
Sjokvist, Stefan .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (08) :5175-5182