Enhancing Building Monitoring and Control for District Energy Systems: Technology Selection and Installation within the Living Lab Energy Campus

被引:9
作者
Althaus, Philipp [1 ]
Redder, Florian [1 ]
Ubachukwu, Eziama [1 ]
Mork, Maximilian [1 ]
Xhonneux, Andre [1 ]
Mueller, Dirk [1 ,2 ]
机构
[1] Forschungszentrum Julich, Inst Energy & Climate Res, Energy Syst Engn IEK 10, D-52425 Julich, Germany
[2] Rhein Westfal TH Aachen, EON Energy Res Ctr, Inst Energy Efficient Bldg & Indoor Climate, D-52056 Aachen, Germany
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 07期
关键词
living labs; Living Lab Energy Campus; buildings; sensor installation; sensor and control networks; IoT; ICT; district energy; MODEL-PREDICTIVE CONTROL; THERMAL COMFORT; DECISION-MAKING; HVAC SYSTEM; IMPLEMENTATION; MPC; OPTIMIZATION;
D O I
10.3390/app12073305
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
With regard to climate change, it is imperative to reduce greenhouse gas emissions. One solution approach is to increase energy efficiency in buildings. Buildings contribute a high share of the total global energy usage. As the rate of new building constructions is low, measures applicable to existing buildings become paramount. Before applying new approaches on a large scale, it is necessary to evaluate them in a representative, realistic environment. Living labs such as the Living Lab Energy Campus (LLEC) at Forschungszentrum Julich (FZJ) facilitate innovative monitoring and control approaches in a real-world setting. In this work, we investigate the required steps for bringing sensor and control networks, comprising more than 1800 devices, into 18 existing and new buildings. This enables both room-level monitoring and control, as well as the integration of building-wide automation. By introducing an ICT infrastructure, we pave the way towards holistic approaches on a district level. We describe the workflows used for selected instrumentation variants and show first insights from the operation of the resulting infrastructure. We show that the investigated instrumentation variants exhibit similar characteristics; however, they affect control behavior differently. We emphasize that instrumentation should be planned in the context of existing infrastructure. Moreover, we present and evaluate sample measurements obtained from different buildings.
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页数:31
相关论文
共 74 条
  • [1] Understanding the Limits of LoRaWAN
    Adelantado, Ferran
    Vilajosana, Xavier
    Tuset-Peiro, Pere
    Martinez, Borja
    Melia-Segui, Joan
    Watteyne, Thomas
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2017, 55 (09) : 34 - 40
  • [2] Theory and applications of HVAC control systems - A review of model predictive control (MPC)
    Afram, Abdul
    Janabi-Sharifi, Farrokh
    [J]. BUILDING AND ENVIRONMENT, 2014, 72 : 343 - 355
  • [3] Building energy metering and environmental monitoring - A state-of-the-art review and directions for future research
    Ahmad, Muhammad Waseem
    Mourshed, Monjur
    Mundow, David
    Sisinni, Mario
    Rezgui, Yacine
    [J]. ENERGY AND BUILDINGS, 2016, 120 : 85 - 102
  • [4] Albers K.-J., 2018, TASCHENBUCH HEIZUNG
  • [5] Design and Construction of a New Metering Hot Box for the In Situ Hygrothermal Measurement in Dynamic Conditions of Historic Masonries
    Andreotti, Mirco
    Calzolari, Marta
    Davoli, Pietromaria
    Pereira, Luisa Dias
    Lucchi, Elena
    Malaguti, Roberto
    [J]. ENERGIES, 2020, 13 (11)
  • [6] [Anonymous], 2017, EN 15232-1
  • [7] [Anonymous], FIWARE OP SOURC PLAT
  • [8] [Anonymous], 2017, DTSCH WETT GEAND GES
  • [9] ASHRAE, 2020, 2020 ASHRAE HDB HEAT
  • [10] ASHRAE, 2019, 2019 ASHRAE HDB HEAT, VSI