Techno-economic assessment of Bi-directional Low Temperature Networks

被引:4
|
作者
Taylor, Michael [1 ]
Gao, Wu [1 ]
Masum, Shakil [1 ]
Qadrdan, Meysam [1 ]
机构
[1] Cardiff Univ, Cardiff Sch Engn, Queens Bldg, Cardiff CF24 3AA, Wales
基金
英国工程与自然科学研究理事会;
关键词
4GDH; District heating and cooling; Heat pumps; Techno-economic assessment; Modelling; Simulation; SYSTEMS; HEAT;
D O I
10.1016/j.apenergy.2023.121202
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
This work presents an approach to determine the optimal design configuration and circulation temperature for a given Bi-directional Low Temperature Network (BLTN) using scenario analysis. BLTNs are capable of supplying both heating and cooling via a bi-directional network of 'warm' and 'cool' pipes. They feature decentralised network circulation pumps and building integrated heat pumps, permitting low pipe circulation temperatures and thereby enabling low-grade heat to be rejected into the network. As a case study, a BLTN layout was conceived for a small section of a university campus, currently served by a high temperature heating network with gas-based CHP and boiler plant heat sources. The proposed BLTN utilises a horizontal ground source array and considers future estimated cooling loads which must be served by the network, in addition to existing heating loads. After analysing different design configurations at various heating to cooling load ratios, the headline result from this study is that an ambient temperature design, without centralised ground source heat pumps to control the network temperature, represents the most cost effective option. This result, based on the levelised cost of heating and cooling (LCOHC) over a 50 year period, is consistent regardless of the heating to cooling load ratio for the system. Moreover, as cooling loads are increased, the ambient temperature design becomes increasingly cost-effective relative to other options.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] OPTIMAL NETWORK BEAMFORMING FOR BI-DIRECTIONAL RELAY NETWORKS
    Havary-Nassab, Veria
    Shahbazpanahi, Shahram
    Grami, Ali
    2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, 2009, : 2277 - +
  • [42] Bi-directional Gated Memory Networks for Answer Selection
    Wu, Wei
    Wang, Houfeng
    Li, Sujian
    CHINESE COMPUTATIONAL LINGUISTICS AND NATURAL LANGUAGE PROCESSING BASED ON NATURALLY ANNOTATED BIG DATA, CCL 2017, 2017, 10565 : 251 - 262
  • [43] Bi-directional Signaling Strategies for Dynamic TDD Networks
    Jayasinghe, Praneeth
    Tolli, Antti
    Latva-aho, Matti
    2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2015, : 540 - 544
  • [44] A bi-directional approach to comparing the modular structure of networks
    Daniel Straulino
    Mattie Landman
    Neave O’Clery
    EPJ Data Science, 10
  • [45] An efficient bi-directional flooding in wireless sensor networks
    Cha, Woosuk
    Kim, Eun-Mi
    Lee, Bae-Ho
    Cho, Gihwan
    UBIQUITOUS INTELLIGENCE AND COMPUTING, PROCEEDINGS, 2007, 4611 : 454 - +
  • [46] Bi-directional Reasoning Based on BAM Neural Networks
    Li, Min
    Chen, Wen
    Li, Kai
    Zhou, Xianshan
    Zhao, Lihui
    Zhou, Yuncai
    SECOND INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTING: WGEC 2008, PROCEEDINGS, 2008, : 141 - 144
  • [47] Bi-Directional Beamformer Training for Dynamic TDD Networks
    Jayasinghe, Praneeth
    Tolli, Antti
    Kaleva, Jarkko
    Latva-Aho, Maui
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2018, 66 (23) : 6252 - 6267
  • [48] Efficient alternatives to bi-directional tunnelling for moving networks
    Burness, L
    Eardley, P
    Eisl, J
    Hancock, R
    Hepworth, E
    Mihailovic, A
    TELECOMMUICATIONS AND NETWORKING - ICT 2004, 2004, 3124 : 1128 - 1135
  • [49] Corruption Detection in Networks of Bi-directional Dynamical Systems
    Subramanian, Venkat Ram
    Lamperski, Andrew
    Salapaka, Murti V.
    2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), 2019, : 4545 - 4550
  • [50] A bi-directional approach to comparing the modular structure of networks
    Straulino, Daniel
    Landman, Mattie
    O'Clery, Neave
    EPJ DATA SCIENCE, 2021, 10 (01)