Economic analysis and optimization of combined solar district heating technologies and systems

Research output: Contribution to journalJournal article – Annual report year: 2019Researchpeer-review

Standard

Economic analysis and optimization of combined solar district heating technologies and systems. / Huang, Junpeng; Fan, Jianhua; Furbo, Simon; Chen, Daochuan; Dai, Yanjun; Kong, Weiqiang.

In: Energy, Vol. 186, 115886, 2019.

Research output: Contribution to journalJournal article – Annual report year: 2019Researchpeer-review

Harvard

APA

CBE

MLA

Vancouver

Author

Bibtex

@article{f9f9b7a07d614525b094877017f0989b,
title = "Economic analysis and optimization of combined solar district heating technologies and systems",
abstract = "To find an optimal economic solution for solar district heating (SDH) in China, an evaluation model based on the levelized cost of heat (LCoH) is developed. A Python program is developed to calculate the LCoH of SDH systems using the quasi-dynamic test method. Based on these calculations, the trend of LCoH with solar collector area under different heating load intensities, heating terminal units, heated areas and land rents is discussed. The optimal solar collector area and the solar fraction are determined for combinations of solar thermal with four types of auxiliary heat sources, including air source heat pumps, ground source heat pumps, gas boilers and gas boilers with seasonal heat storage. The calculations show an economic optimal solar fraction of 11{\%}e33{\%} for a SDH system with heat pumps. High dependency of LCoH on network temperature is found for a SDH system with gas boilers. Seasonal heat storage minimizes LCoH of a SDH system with gas boilers at 100{\%} solar fraction. The findings can be used as a reference for local authorities, consultants and engineers in the early energy planning to determine the optimal proportion of solar energy in a district heating system with the lowest operating cost.",
keywords = "Economic analysis, Solar district heating, Levelized cost of heat, Heat pump, Optimization",
author = "Junpeng Huang and Jianhua Fan and Simon Furbo and Daochuan Chen and Yanjun Dai and Weiqiang Kong",
year = "2019",
doi = "10.1016/j.energy.2019.115886",
language = "English",
volume = "186",
journal = "Energy",
issn = "0360-5442",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Economic analysis and optimization of combined solar district heating technologies and systems

AU - Huang, Junpeng

AU - Fan, Jianhua

AU - Furbo, Simon

AU - Chen, Daochuan

AU - Dai, Yanjun

AU - Kong, Weiqiang

PY - 2019

Y1 - 2019

N2 - To find an optimal economic solution for solar district heating (SDH) in China, an evaluation model based on the levelized cost of heat (LCoH) is developed. A Python program is developed to calculate the LCoH of SDH systems using the quasi-dynamic test method. Based on these calculations, the trend of LCoH with solar collector area under different heating load intensities, heating terminal units, heated areas and land rents is discussed. The optimal solar collector area and the solar fraction are determined for combinations of solar thermal with four types of auxiliary heat sources, including air source heat pumps, ground source heat pumps, gas boilers and gas boilers with seasonal heat storage. The calculations show an economic optimal solar fraction of 11%e33% for a SDH system with heat pumps. High dependency of LCoH on network temperature is found for a SDH system with gas boilers. Seasonal heat storage minimizes LCoH of a SDH system with gas boilers at 100% solar fraction. The findings can be used as a reference for local authorities, consultants and engineers in the early energy planning to determine the optimal proportion of solar energy in a district heating system with the lowest operating cost.

AB - To find an optimal economic solution for solar district heating (SDH) in China, an evaluation model based on the levelized cost of heat (LCoH) is developed. A Python program is developed to calculate the LCoH of SDH systems using the quasi-dynamic test method. Based on these calculations, the trend of LCoH with solar collector area under different heating load intensities, heating terminal units, heated areas and land rents is discussed. The optimal solar collector area and the solar fraction are determined for combinations of solar thermal with four types of auxiliary heat sources, including air source heat pumps, ground source heat pumps, gas boilers and gas boilers with seasonal heat storage. The calculations show an economic optimal solar fraction of 11%e33% for a SDH system with heat pumps. High dependency of LCoH on network temperature is found for a SDH system with gas boilers. Seasonal heat storage minimizes LCoH of a SDH system with gas boilers at 100% solar fraction. The findings can be used as a reference for local authorities, consultants and engineers in the early energy planning to determine the optimal proportion of solar energy in a district heating system with the lowest operating cost.

KW - Economic analysis

KW - Solar district heating

KW - Levelized cost of heat

KW - Heat pump

KW - Optimization

U2 - 10.1016/j.energy.2019.115886

DO - 10.1016/j.energy.2019.115886

M3 - Journal article

VL - 186

JO - Energy

JF - Energy

SN - 0360-5442

M1 - 115886

ER -