Estimation of hourly averaged solar irradiation: evaluation of models

被引:10
|
作者
Tham, Y. [1 ]
Muneer, T. [1 ]
Davison, B. [2 ]
机构
[1] Edinburgh Napier Univ, Sch Engn & Built Environm, Edinburgh, Midlothian, Scotland
[2] Edinburgh Napier Univ, Sch Comp, Edinburgh, Midlothian, Scotland
基金
英国工程与自然科学研究理事会;
关键词
GLOBAL RADIATION; SUNSHINE; DIFFUSE; DURATION;
D O I
10.1177/0143624409350547
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Hourly solar radiation data are required in many building services applications. These are also reported in the Chartered Institution of Building Services Engineers Guides A & J. Data from 16 locations in the UK were used to evaluate the so called Liu and Jordan model(1) for monthly averaged hourly solar irradiation. Individual data sets spanned periods from 12 to 26 years between 1968 and 1994, and overall, provided data from practically the full range of latitude of the UK (50.22 degrees N-58.13 degrees N). For hourly estimation, the model only slightly underestimated both global and diffuse radiation before noon and overestimated, again only slightly, after noon. In addition, a discrepancy was observed between the measured data and the model's predictions at low sunset angles. Following earlier research work, an attempt was made to further improve the Liu and Jordan model. However, it was found that at least for the UK data set, any such attempts were futile. This behaviour was attributed to the highly random nature of UK's solar climate. Practical applications: Most meteorological stations report solar radiation data on a daily averaged basis. However, most building energy simulation software requires hourly radiation. Research studies have confirmed that the well-known Liu and Jordan model, which enables the above conversion, performs well for locations in the US. This paper evaluates the above model for locations in the UK and compares it with previously studied Indian locations. According to the evaluation, the average accuracy of the model to estimate hourly radiation from its daily counterpart is 85%.
引用
收藏
页码:9 / 25
页数:17
相关论文
共 50 条
  • [1] PREVISION AND SIMULATION-MODELS OF THE HOURLY SOLAR IRRADIATION
    ASTIER, R
    DUHAMEL, C
    BENARD, C
    [J]. REVUE DE PHYSIQUE APPLIQUEE, 1983, 18 (01): : 29 - 38
  • [2] Evaluation and comparison of hourly solar radiation models
    Ahmad, A. Jamil
    Tiwari, G. N.
    [J]. INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2009, 33 (05) : 538 - 552
  • [3] Development and evaluation of empirical models for the estimation of hourly horizontal diffuse solar irradiance in the United Kingdom
    Munoz, Maria Nunez
    Ballantyne, Erica E. F.
    Stone, David A.
    [J]. ENERGY, 2022, 241
  • [4] Quality control and estimation hourly solar irradiation on inclined surfaces in South Korea
    Lee, Kwanho
    Yoo, Hochun
    Levermore, Geoff J.
    [J]. RENEWABLE ENERGY, 2013, 57 : 190 - 199
  • [5] Hourly solar radiation estimation and uncertainty quantification using hybrid models
    Wang, Lunche
    Lu, Yunbo
    Wang, Zhitong
    Li, Huaping
    Zhang, Ming
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2024, 202
  • [6] Comparative Analysis of Estimation Models for Monthly Average Hourly Solar Radiation
    Bruno M. Lopes
    André M. G. Costa
    Wadaed Uturbey
    [J]. Journal of Control, Automation and Electrical Systems, 2022, 33 : 1489 - 1506
  • [7] Comparative Analysis of Estimation Models for Monthly Average Hourly Solar Radiation
    Lopes, Bruno M.
    Costa, Andre M. G.
    Uturbey, Wadaed
    [J]. JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS, 2022, 33 (05) : 1489 - 1506
  • [8] New models to compute solar global hourly irradiation from point cloudiness
    Badescu, Viorel
    Dumitrescu, Alexandru
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2013, 67 : 75 - 91
  • [9] Evaluation of 12 models to estimate hourly diffuse irradiation on inclined surfaces
    Noorian, Ali Mohammad
    Moradi, Isaac
    Kamali, Gholam Ali
    [J]. RENEWABLE ENERGY, 2008, 33 (06) : 1406 - 1412
  • [10] Forecasting hourly global solar irradiation using simple non-seasonal models
    Pacurar, Angel
    Stefu, Nicoleta
    Mares, Oana
    Paulescu, Eugenia
    Calinoiu, Delia
    Pop, Nicolina
    Boata, Remus
    Gravila, Paul
    Paulescu, Marius
    [J]. JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2013, 5 (06)