Parametric models to estimate photosynthetically active radiation in Spain

Alados-Arboledas, Lucas; Olmo, F.J.; Alados, I.; García, Manuel Pérez

doi:10.1016/s0168-1923(99)00163-x

Cited by 64 publications

(35 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Hourly solar radiation is calculated through a model based on the sun-earth geometry, observed cloud cover, relative humidity, and wind speed (36). Total solar radiation is converted to photosynthetically active radiation for biological modeling (37). The climatic variables from the EPW data files are used as the primary inputs to the thermal and biological growth models.…”

Section: Methodsmentioning

confidence: 99%

Global evaluation of biofuel potential from microalgae

Moody¹,

McGinty

Quinn³

2014

Proc. Natl. Acad. Sci. U.S.A.

213

140

View full text Add to dashboard Cite

In the current literature, the life cycle, technoeconomic, and resource assessments of microalgae-based biofuel production systems have relied on growth models extrapolated from laboratory-scale data, leading to a large uncertainty in results. This type of simplistic growth modeling overestimates productivity potential and fails to incorporate biological effects, geographical location, or cultivation architecture. This study uses a large-scale, validated, outdoor photobioreactor microalgae growth model based on 21 reactor-and species-specific inputs to model the growth of Nannochloropsis. This model accurately accounts for biological effects such as nutrient uptake, respiration, and temperature and uses hourly historical meteorological data to determine the current global productivity potential. Global maps of the current near-term microalgae lipid and biomass productivity were generated based on the results of annual simulations at 4,388 global locations. Maximum annual average lipid yields between 24 and 27 m , corresponding to biomass yields of 13 to 15 g·m, are possible in Australia, Brazil, Colombia, Egypt, Ethiopia, India, Kenya, and Saudi Arabia. The microalgae lipid productivity results of this study were integrated with geography-specific fuel consumption and land availability data to perform a scalability assessment. Results highlight the promising potential of microalgae-based biofuels compared with traditional terrestrial feedstocks. When water, nutrients, and CO 2 are not limiting, many regions can potentially meet significant fractions of their transportation fuel requirements through microalgae production, without land resource restriction. Discussion focuses on sensitivity of monthly variability in lipid production compared with annual average yields, effects of temperature on productivity, and a comparison of results with previous published modeling assumptions. algae | global model | geographic information system | life cycle assessment | dynamic map R ecent volatility in oil prices, attributed to increased demand and limited resources, has led to the development of unconventional petroleum reserves, such as oil sands, and increased exploration of alternative and renewable fuel sources. Scalability limitations associated with traditional terrestrial biofuel feedstocks have renewed interest in next-generation feedstocks, such as microalgae. Microalgae offer many potential advantages over traditional terrestrial oil crops, including higher lipid productivities, a lack of competition for arable land, year-round cultivation, integration with saline and low-quality water sources, and a viable drop-in equivalent fuel product (1-5). These scalable advantages make microalgae a promising feedstock for biofuel production and a potential sustainable alternative to traditional petroleum fuels.The current near-term productivity potential for microalgae at large-scale currently is being estimated through the linear scaling of laboratory-based growth and lipid data, which has led to a large variance in report...

show abstract

Section: Methodsmentioning

confidence: 99%

Global evaluation of biofuel potential from microalgae

Moody¹,

McGinty

Quinn³

2014

Proc. Natl. Acad. Sci. U.S.A.

213

140

View full text Add to dashboard Cite

show abstract

“…The BF2 sensor simultaneously outputs the sunshine measurement when the total PAR > 1.25× Diffuse PAR and over the threshold of 50 µmol m −2 s −1 (see BF2 Optical Design, available on http://www.delta t.co.uk/frame/submenu/bf2ref.html). The K t threshold for cloudless sky conditions is from Alados-Arboledas et al (2000) as:…”

Section: Site Description and Data Preparationmentioning

confidence: 99%

“…Only the most important extinction sources of the atmosphere are taken into account. Some representative models of this category include CPCR2 (Gueymard, 1989a), the PAR MODEL (Gueymard, 1989b) and the model from Alados-Arboledas et al (2000).…”

Section: Introductionmentioning

confidence: 99%

A Model to Estimate Global Radiation in Complex Terrain

Wang

Tenhunen

Schmidt

et al. 2006

Boundary-Layer Meteorol

View full text Add to dashboard Cite

Global radiation is an important parameter necessary for most ecological models. However, in situ data barely meet the needs of modelling mountainous ecosystems since most field stations are located in flat areas. Consequently, it is usually necessary to extrapolate radiation measurements obtained from an adjacent flat area to the complex terrain of concern. The distribution of radiation in complex terrain depends upon two factors: the local atmospheric conditions, which determine the radiation potentially available to a supposed flat surface in a given location, and the topographic effects on this possible radiation. The latter have been included in detail in most radiation models for complex terrain, but the former are often only simply treated as constant or estimated by over-simplified empirical algorithms. In this paper we propose a novel approach that uses a parametric atmospheric model to calculate the potential radiation for a supposed flat surface in a given location, and then account for topographic effects. Direct radiation, diffuse radiation and reflected radiation are calculated separately in the model due to the distinctive characteristics of and the effects by topography. Based on the parametric model, we have investigated the relationship between radiation transmittance, clearness indices and altitude under a series of water vapour content and turbidity conditions. This combines three ratios, R b , R d , and R r , defined as the direct radiation, diffuse radiation and reflected radiation received by the arbitrary surface, respectively, to their counterparts in the horizontal surface, to estimate the global radiation for any given location. The model has been validated with measurements in National Park Berchtesgaden, Germany, where six measurement sites with various altitudes and topographic characteristics have been deployed. The r 2 of modelled and measured hourly global radiation are greater than 0.90 in all six sites, with RMSE varying from 16 to 100 W m −2 . Sensitivity analysis revealed that the model was not sensitive to change in water vapour content, which suggests the possibility to use an exponential algorithm of water vapour content when there is no in situ water vapour content information in complex terrains. The normalised RMSE was only reduced by 0.04, on average, in five of the six sites when water vapour content information was calculated from the in situ air temperature and relative humidity measurements.

show abstract

“…For a reportedly sounder ranking, other statistical tools have been proposed in the literature. Alados-Arboledas et al (2000) have used a combination of MBE, RMSE, and coefficient of linear correlation, R, between the predicted and measured results. Jeter and Balaras (1986) and Ianetz et al (2007) have used the coefficient of determination (i.e., the square of the coefficient of linear correlation, R 2 ) and the Fisher Fstatistic (Bevington and Robinson 2003).…”

Section: Quantitative Assessmentmentioning

confidence: 99%

Validation and Ranking Methodologies for Solar Radiation Models

Gueymard¹,

Myers

Modeling Solar Radiation at the Earth’s Surface

View full text Add to dashboard Cite

Parametric models to estimate photosynthetically active radiation in Spain

Cited by 64 publications

References 35 publications

Global evaluation of biofuel potential from microalgae

Global evaluation of biofuel potential from microalgae

A Model to Estimate Global Radiation in Complex Terrain

Validation and Ranking Methodologies for Solar Radiation Models

Contact Info

Product

Resources

About