From partial optimization to overall system management - real-life smart heat load control in district heating systems

被引:5
|
作者
Kontu, K. [1 ]
Penttinen, P. [1 ,2 ]
Vimpari, J. [1 ]
Junnila, S. [1 ]
机构
[1] Aalto Univ, Sch Engn, Real Estate Business, Otakaari 4, Espoo 02150, Finland
[2] Vantaa Energy Ltd, Peltolantie 27, Vantaa 01300, Finland
关键词
Demand side management; Demand response; Customer involvement; Real-life consumption data; Energy transition; MODEL-PREDICTIVE CONTROL; DEMAND-SIDE MANAGEMENT; THERMAL-ENERGY STORAGE; RESIDENTIAL BUILDINGS;
D O I
10.1016/j.enbuild.2019.109481
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
District heating (DH) customers are becoming increasingly interested in finding ways to decrease their heat consumption and costs. A general assumption is that demand side management (DSM) actions in heating stabilize consumption profiles, reducing consumption and peak demand. While several simulation studies have shown these assumptions to be true, much less is known about how real-life DSM actions affect the heat consumption profiles of buildings. This study analysed real-life consumption data from 109 DH customers over a period of four years. Thirty-one of those customers implemented DSM actions including permanent energy conservation and demand response actions with temporal effects with autonomous control (called Smart control, SC). The remaining 78 customers did not implement DSM and are used as a reference group. This study compared changes in the SC customers' heat consumption profiles against the reference group and analysed how SC measurements reflect to DH system. The results show that these DSM actions decreased the heat consumption and costs for the customers but simultaneously increased short-term variations of heat load. This study highlights the need for greater co-operation between DH companies and their customers to develop more effective DSM control strategies that can provide better solutions for the whole system. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页数:9
相关论文
共 25 条
  • [1] Forecasting Heat Load for Smart District Heating Systems: A Machine Learning Approach
    Idowu, Samuel
    Saguna, Saguna
    Ahlund, Christer
    Schelen, Olov
    2014 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2014, : 554 - 559
  • [2] HEAT LOAD NUMERICAL PREDICTION FOR DISTRICT HEATING SYSTEM OPERATIONAL CONTROL
    Rusovs, D.
    Jakovleva, L.
    Zentins, V.
    Baltputnis, K.
    LATVIAN JOURNAL OF PHYSICS AND TECHNICAL SCIENCES, 2021, 58 (03) : 121 - 136
  • [3] District Heating System Adjustment Theoretical Based on Heat Users' Real Load
    Cao, Shanshan
    Zhao, Hua
    Xie, Xin
    Liu, Xiaolin
    PROCEEDINGS OF THE 8TH INTERNATIONAL SYMPOSIUM ON HEATING, VENTILATION AND AIR CONDITIONING, VOL 2: HVAC&R COMPONENT AND ENERGY SYSTEM, 2014, 262 : 577 - 587
  • [4] Life cycle assessment of base–load heat sources for district heating system options
    Saeed Ghafghazi
    Taraneh Sowlati
    Shahab Sokhansanj
    Xiaotao Bi
    Staffan Melin
    The International Journal of Life Cycle Assessment, 2011, 16 : 212 - 223
  • [5] Automated tuning of ITS management and control systems: Results from real-life experiments
    Manolis, Diamantis
    Papamichail, Ioannis
    Kosmatopoulos, Elias B.
    Papageorgiou, Markos
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2016, 66 : 119 - 135
  • [6] Life cycle assessment of base-load heat sources for district heating system options
    Ghafghazi, Saeed
    Sowlati, Taraneh
    Sokhansanj, Shahab
    Bi, Xiaotao
    Melin, Staffan
    INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT, 2011, 16 (03): : 212 - 223
  • [7] Real-Life Load Profiles of PV Battery Systems from Field Measurements
    Kairies, Kai-Philipp
    Haberschusz, David
    Wessels, Oliver
    Strebel, Jan
    van Ouwerkerk, Jonas
    Magnor, Dirk
    Sauer, Dirk Uwe
    10TH INTERNATIONAL RENEWABLE ENERGY STORAGE CONFERENCE, IRES 2016, 2016, 99 : 401 - 410
  • [8] A Cost-Driven Smart Heat Recovery Control for Supermarket Refrigeration System Coupled with District Heating System
    Huang, Chunjun
    Zong, Yi
    You, Shi
    Thorsen, Jan Eric
    Larsen, Lars Finn Sloth
    2021 INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES (SEST), 2021,
  • [9] AUTOMATIC CONTROL SYSTEM OF HEAT PUMP STATION GAS COOLER AT THE WIDE RANGE OF HEAT LOAD FOR THE COMBINED DISTRICT HEATING SYSTEM
    Juravleov, A. A.
    Sit, M. L.
    Sit, B. M.
    Poponova, Olga
    Zubatii, A.
    PROBLEMELE ENERGETICII REGIONALE, 2008, (02): : 61 - 67
  • [10] Optimal control of demand flexibility under real-time pricing for heating systems in buildings: A real-life demonstration
    Finck, Christian
    Li, Rongling
    Zeiler, Wim
    APPLIED ENERGY, 2020, 263