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Performance assessment of using various solar radiation data in modelling large-scale solar thermal systems integrated in district heating networks

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Performance assessment of using various solar radiation data in modelling large-scale solar thermal systems integrated in district heating networks. / Aliana, Arnau; Chang, Miguel; Østergaard, Poul Alberg et al.
In: Renewable Energy, Vol. 190, 05.2022, p. 699-712.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

Harvard

Aliana, A, Chang, M, Østergaard, PA, Victoria, M & Andersen, AN 2022, 'Performance assessment of using various solar radiation data in modelling large-scale solar thermal systems integrated in district heating networks', Renewable Energy, vol. 190, pp. 699-712. https://doi.org/10.1016/j.renene.2022.03.163

APA

Aliana, A., Chang, M., Østergaard, P. A., Victoria, M., & Andersen, A. N. (2022). Performance assessment of using various solar radiation data in modelling large-scale solar thermal systems integrated in district heating networks. Renewable Energy, 190, 699-712. https://doi.org/10.1016/j.renene.2022.03.163

CBE

Aliana A, Chang M, Østergaard PA, Victoria M, Andersen AN. 2022. Performance assessment of using various solar radiation data in modelling large-scale solar thermal systems integrated in district heating networks. Renewable Energy. 190:699-712. https://doi.org/10.1016/j.renene.2022.03.163

MLA

Aliana, Arnau et al. "Performance assessment of using various solar radiation data in modelling large-scale solar thermal systems integrated in district heating networks". Renewable Energy. 2022, 190. 699-712. https://doi.org/10.1016/j.renene.2022.03.163

Vancouver

Aliana A, Chang M, Østergaard PA, Victoria M, Andersen AN. Performance assessment of using various solar radiation data in modelling large-scale solar thermal systems integrated in district heating networks. Renewable Energy. 2022 May;190:699-712. doi: 10.1016/j.renene.2022.03.163

Author

Aliana, Arnau ; Chang, Miguel ; Østergaard, Poul Alberg et al. / Performance assessment of using various solar radiation data in modelling large-scale solar thermal systems integrated in district heating networks. In: Renewable Energy. 2022 ; Vol. 190. pp. 699-712.

Bibtex

@article{495b02a06b9449f0b20bb39aac9bf703,
title = "Performance assessment of using various solar radiation data in modelling large-scale solar thermal systems integrated in district heating networks",
abstract = "The use of solar radiation data models is widespread in energy system analysis, however a gap exists when assessing their impact in modelling large-scale solar thermal systems integrated in district heating (DH) systems. Therefore, this study presents an analysis of how using satellite-based radiation data models (SARAH), reanalysis models (CFSR, ERA and MERRA2) and other data models (Danish Reference Year) affect the modelling of these systems. Taking three DH plants in Denmark as study cases, the measured radiation between 2016 and 2019 are utilized. Using energyPRO-based mathematical models of the systems, heat outputs are calculated and compared with measured data. Moreover, the yearly DH plant operational cost is calculated to observe the economic impact of using inaccurate models. It is found that heat production assessments based on the SARAH model show a better agreement with measured data than the reanalysis-based ERA5, MERRA2 and CFSR models. The empirically-based DRY shows low errors when observing its yearly values but has a higher inaccuracy on the hourly level, providing inaccurate operation profiles of the plant. Additionally, the satellite-based solar data model SARAH is further analyzed to identify patterns of its inaccuracy. After comparing it with 18 locations in Denmark using month-hourly profiles, no error trend can be identified, supporting the robustness of the model.",
keywords = "energyPRO modelling, Large-scale solar district heating plants, Performance assessment, Solar data models, Solar thermal modelling",
author = "Arnau Aliana and Miguel Chang and {\O}stergaard, {Poul Alberg} and Marta Victoria and Andersen, {Anders N.}",
note = "Publisher Copyright: {\textcopyright} 2022 The Authors",
year = "2022",
month = may,
doi = "10.1016/j.renene.2022.03.163",
language = "English",
volume = "190",
pages = "699--712",
journal = "Renewable Energy",
issn = "0960-1481",
publisher = "Pergamon Press",

}

RIS

TY - JOUR

T1 - Performance assessment of using various solar radiation data in modelling large-scale solar thermal systems integrated in district heating networks

AU - Aliana, Arnau

AU - Chang, Miguel

AU - Østergaard, Poul Alberg

AU - Victoria, Marta

AU - Andersen, Anders N.

N1 - Publisher Copyright: © 2022 The Authors

PY - 2022/5

Y1 - 2022/5

N2 - The use of solar radiation data models is widespread in energy system analysis, however a gap exists when assessing their impact in modelling large-scale solar thermal systems integrated in district heating (DH) systems. Therefore, this study presents an analysis of how using satellite-based radiation data models (SARAH), reanalysis models (CFSR, ERA and MERRA2) and other data models (Danish Reference Year) affect the modelling of these systems. Taking three DH plants in Denmark as study cases, the measured radiation between 2016 and 2019 are utilized. Using energyPRO-based mathematical models of the systems, heat outputs are calculated and compared with measured data. Moreover, the yearly DH plant operational cost is calculated to observe the economic impact of using inaccurate models. It is found that heat production assessments based on the SARAH model show a better agreement with measured data than the reanalysis-based ERA5, MERRA2 and CFSR models. The empirically-based DRY shows low errors when observing its yearly values but has a higher inaccuracy on the hourly level, providing inaccurate operation profiles of the plant. Additionally, the satellite-based solar data model SARAH is further analyzed to identify patterns of its inaccuracy. After comparing it with 18 locations in Denmark using month-hourly profiles, no error trend can be identified, supporting the robustness of the model.

AB - The use of solar radiation data models is widespread in energy system analysis, however a gap exists when assessing their impact in modelling large-scale solar thermal systems integrated in district heating (DH) systems. Therefore, this study presents an analysis of how using satellite-based radiation data models (SARAH), reanalysis models (CFSR, ERA and MERRA2) and other data models (Danish Reference Year) affect the modelling of these systems. Taking three DH plants in Denmark as study cases, the measured radiation between 2016 and 2019 are utilized. Using energyPRO-based mathematical models of the systems, heat outputs are calculated and compared with measured data. Moreover, the yearly DH plant operational cost is calculated to observe the economic impact of using inaccurate models. It is found that heat production assessments based on the SARAH model show a better agreement with measured data than the reanalysis-based ERA5, MERRA2 and CFSR models. The empirically-based DRY shows low errors when observing its yearly values but has a higher inaccuracy on the hourly level, providing inaccurate operation profiles of the plant. Additionally, the satellite-based solar data model SARAH is further analyzed to identify patterns of its inaccuracy. After comparing it with 18 locations in Denmark using month-hourly profiles, no error trend can be identified, supporting the robustness of the model.

KW - energyPRO modelling

KW - Large-scale solar district heating plants

KW - Performance assessment

KW - Solar data models

KW - Solar thermal modelling

UR - http://www.scopus.com/inward/record.url?scp=85127467305&partnerID=8YFLogxK

U2 - 10.1016/j.renene.2022.03.163

DO - 10.1016/j.renene.2022.03.163

M3 - Journal article

AN - SCOPUS:85127467305

VL - 190

SP - 699

EP - 712

JO - Renewable Energy

JF - Renewable Energy

SN - 0960-1481

ER -