For the location of sub-treatments which are SFO, SPO and SFC
[42][113], or FD and HD
[4][6][18][69], a wide range of crops can be selected to be planted based on their physiological and morphological traits
[4][28][71]. Besides that, the selection of suitable crops for AVS should also be identified based on local climate and weather conditions
[5][12][21][28]. In general, shade-loving plants are best suited for planting in less sunlit areas, while sun-loving plants are better suited to seeding in sunlight areas
[64][98][94]. For the arid region, such spices may be successfully grown between two rows of solar PV, as these are short in nature, for example:
Trigonella foenum-graecum Linn. (‘methi’),
Plantago ovata Forsk. (‘isabgol’), Coriandrum sativum Linn. (coriander or ‘dhania’), etc
[25]. The following vegetable crops may also be grown:
Brassica oleracea var. botrytis (cauliflower),
Brassica oleracea var. capitate (cabbage),
Allium cepa Linn. (onion),
Allium sativum (garlic),
Capsicum annum Linn. (chilli), etc.
[25]. The land area beneath photovoltaic panels can also be used to grow vegetable crops of the Cucurbitaceae family, such as
Cucurbita pepo Linn. (‘kakri’),
Lagenaria siceraria (‘lauki’),
Citrullus fistulosus Stock (‘tinda’), etc.
[25]. Cultivating crops in areas below the photovoltaic panel has the added benefit of reducing the heat load on the bottom surface of the photovoltaic panel by modifying the microclimate and thus assisting in generating the maximum amount of electricity
[21][50]. Additionally,
[59] also proposed that herbs could be planted in tropic areas using AVS applications with minor modification of the solar panel structures. Herbal plants such as
Orthosiphon stamnieus is suitable in the tropical region
[50], while
Cassia angustifolia (senna), Aloe vera (‘gwarpatha’), and others may also be considered as potential crops if the PV structure is in rocky scrubs or degraded lands, depending on the region
[25]. Next, some studies performed in various regions of the world indicate different kinds of crops, such as semi-arid pasture (Oregon, USA;
[113]), Maize (Po Valley, Northern Italy;
[53]), lettuce (short cycle crop), cucumbers (short cycle crop), durum wheat (long cycle crop) cultivated at Montpellier Experimental Agrivoltaic Station, France
[6][31], and potato and wheat (Demeter-certified farm community Heggelbach, Germany;
[41]). In addition,
[5] stated that, in some regions, certain crops such as fruit trees (i.e., kiwi, apple, pear, cherry), berries (i.e., raspberries, blackberries), tomatoes, sweet peppers, coffee, and ginseng, are among the crops that are also able to cope with a reduction of more than 50% in the light source. Based on these findings, it is possible to conclude that the selection of suitable crops for integration into the AV system is subjective, depending on local weather and the architecture of the PV structure
[8][28][33][85][116][124].
However, a suggestion from
[98], as shown in the table below, to include the AVS approaches may be able to further facilitate the selection of suitable crops. The table illustrates how solar farms and crops can be combined according on the land-use type and AVS strategies. Next, several modifications of the solar PV structure and types of the crop cultivated will be recommended. For example, the suggestions for short crop planting area with agriculture centric approach are as follows: (1) plant mix of sun-loving and shade-tolerant crops, (2) raised solar PV structures, and (3) space solar PV structures. Other options are covered in
Table 43.
Table 43. Opportunities for Solar PV and Agricultural Integration by Land-Use Type. (Source:
[98]).
|
Energy Centric |
Agriculture Centric |
Integrated Agriculture-Energy Centric |
Grazing/un-used/scrub/desert land |
|
-
Leave native vegetation intact
-
Plant mix of sun-loving and shade-tolerant crops
-
Elevate solar PV structure
-
Space out solar PV structure
-
Continue/initiate grazing activities
|
-
Leave native vegetation intact
-
Plant short shade-tolerant crops
-
Elevate solar PV structure
-
Continue/initiate grazing activities
|
Agriculture (short crop) |
|
-
Plant mix of sun-loving and shade-tolerant crops
-
Elevate solar PV structure
-
Space-out solar PV structure
|
|
Agriculture (tall crop) |
|
-
Plant mix of sun-loving and shade-tolerant crops
-
Elevate solar PV structure
-
Space out solar PV structure
|
| (1) Both the checkerboard pattern and the N-S orientation allowed to improve the uniformity of light distribution. (2) A valid design criterion to improve the agronomic sustainability of next-generation PV greenhouses |
Japan |
unknown |
Unknown |
No |
Installing semi-transparent PV module (STM) on the greenhouse roof |
Unknown |
unknown |
(1) The conversion efficiency of the semi-transparent module (STM) was stable at around 0.2% and was not affected by the slope angle, because of the isotropic photoreception of the spherical microcells. (2) The eclipsing level of the STM was 9.7% and the cell shadow never covers the plants entirely when the distance between the module and the crop is greater than 1 m |
Montpellier Experimental Agrivoltaic Station, France |
Unknown |
Unknown |
No |
Monocrystalline, panels were mounted 13 ft (4 m) above the ground, 14 degree aspect angle orientation of the panels towards East, tilted at an angle of 25 degrees, space every 1.64 m (distance between panel structure) |
lettuces (short cycle crop), cucumbers (short cycle crop), and durum wheat (long cycle crop) |
FD (50% light allowable) 1.6 m panel spacing, HD (70% light allowable) 3.2 m panel spacing |
(1) The study found that although the FD plot had higher LER’s than the HD plot because of higher energy production, the HD plot significantly limited crop yield losses while also maintaining an LER over 1. (2) AV system should be designed to allow about 70% radiation to the crop to prevent significant restrictions in yields. (3) Different varieties of certain crops that can be chosen for AV systems due to their adaptability to shaded conditions. (4) Shading in the AV systems saved between 14–29% water depending on the level of shade (FD or HD). |
Yes (single-axis) |
Controlled-tracking (CT) system (Distance from the ground: 16.5 ft (5 m), Panel rotation: 50 degrees E and 50 degrees W), Sun-tracking (ST) system (Distance from the ground: 16.5 ft (5 m), Panel rotation: 50 degree E and 50 degrees W) |
|
FD, HD, ST and CT |
(1) ST AVS is the most effective design to optimise AV outputs (LER 1.5), while Fixed HD AVS and CT were the most efficient in producing biomass. |
Renewable Energy Research Office (RERO), Malaysia |
unknown |
10 |
No |
Monocrystalline |
Java Tea |
FD |
(1) Strong justifications of sustainable herbal plant growth, profitable margin with short returns of the initial investment is the backbone of this work. (2) It is observed that high humidity level due to water evaporation process with PV shading features provides a good attraction for pests which increases the risk of attack to crop. |
Demeter-certified farm community Heggelbach, Germany |
unknown |
194.4 |
No |
Duo bi-facial PV, clearance height: 5 m, overall height: 7.8 m, Unit width: 19 m |
Potato, winter wheat |
unknown |
(1) The maximum sunlight reduction due to shading from the PV panels on any square foot of land under the dual-use system may be no more than 50%. (2) Beneficial price-performance ratio of 0.85 for potato production and a nonbeneficial price-performance ratio of 4.62 for winter wheat |
Zhangjiakou, China |
unknown |
1500–1700 |
Yes (single-axis) |
Oblique PV, East-west oriented and faces towards the south, PV height: 2.5 m from ground, tilt angle 39 degree |
unknown |
unknown |
(1) By studying the tracking law of oblique single-axis AV system, it can be found that in the higher latitude, variations in rotation angle are approximately similar during every day of the growth period of plants. (2) Light adaption point (LAP) and required solar radiation time length of crops can be regarded as two indexes to select the right crop |
India |
unknown |
200–250 |
No |
Ground clearance: 0.5 m, structure width: 2.95 m, structure heigh: 1.94 m, row distance: 6 m |
* |
SFO, SPC |
Suitable crops for AVS suggested here is applicable for arid western India and for other regions different crops need to be identified as per prevailing rainfall and weather conditions |
*Detail discussion in full-text
2.2. Solar Tracker for Agrivoltaic System
Solar monitoring is a technique for increasing the amount of energy obtained by keeping a solar collector, either PV or photothermal, in an optimal location perpendicular to the sun during daylight hours
[7][100][80]. A solar tracker aims to ensure that the panels achieve the greatest amount of solar irradiation possible during the day
[54][106][107][108]. Solar tracking began in 1962 when Finster launched the world’s first fully mechanical tracker. The following year, Saavedra demonstrated an electronic-controlled system for orienting an Eppleypyrheliometer
[109]. Since then, the techniques of solar tracking were improved with the main purpose being to increase the total amount of irradiance to the maximum possible
[35][75][110]. Despite that fixed solar PV configuration is preferable to be integrated with AV systems
[1][6][54] because fixed solar PV intercepts less solar radiation compared to single-axis and dual-axis solar trackers, there is an effort towards the integration of solar trackers into AV systems
[8][30][53][111][103].
Refs.
[4][18] have developed an AV solar tracking system at Montpellier Experimental Agrivoltaic Station in their trials to increase the electricity generation without having detrimental effects on agricultural production. There are five plots set up in their experiments. The first plot is a fixed structure with full-density (FD) AVS and the second plot is a fixed plot with half-density (HD) and has the same specifications as the original AV systems developed by
[6]. The two types of AV solar tracker system used in their studies are controlled-tracking (CT) system and sun-tracking (ST) system. Both systems were specifically designed by: (1) altering the density of the PV panel and height of the solar PV from the ground; (2) developing a specific solar tracking algorithm with the inclusion of the parameters for agricultural growth. The LER values obtained were more than one in all AV plots, indicating that the AV system is more efficient than the monosystem production. With LER values of 1.5 and above, the ST plot has proven to be the most successful method for optimizing AV outputs; the ST plot’s high LER value is mostly due to electricity generation. It is critical to highlight that the CT layout was the most efficient in terms of agricultural production. Furthermore, the LER values for either the CT or ST plots were greater than the LER values for the HD plot.
In another study by
[53], at Po Valley (Northern Italy), a new platform was developed and introduced to conduct simulations aimed at optimizing agrivoltaic systems, which combine the output of electrical energy and arable crops. There are four configurations of AVS set up in this study: (1) dual-axis, sun-tracking system equipped with 5 secondary axes and 10 solar panels (ST1); (2) dual-axis, sun-tracking system equipped with 4 secondary axes and 32 solar panels (ST2); (3) still unit equipped with 5 secondary axes and 10 solar panels (F1); (4) still unit equipped with 4 secondary axes and 32 solar panels (F2). All the AV systems were constructed by raising the panels and fixed to a rotating axis before being coupled with Agrovoltaico software. A radiation model was integrated with the Agrovoltaico programme (based on the shading conditions determined from the AVS structure set-up). A crop model known as GECROS was used to input AVS’s modelled radiation and a 40-year temperature and environmental dataset from the site. Then, the software is used to measures radiation mitigation and its effect on simulated crop yields in aggregate. Based on the simulation, the highest electricity generation came from ST2, followed by F2, ST1, and F1. While, for biomass, even though F2 has the highest yield, the yield in all treatments ranges from 2202–2091 gm
−3 only. Surprisingly, ST1 and ST2 have higher biomass yields compared to stand-alone agriculture production. Other summaries of studies that utilize solar trackers are mentioned in
Table 21.
To the best of the understanding of the authors, there is a potential to integrate the solar tracking system into the agrivoltaic system
[4][5][30][
3.2. Agronomic Practices
Solar energy is the most plentiful and readily available source of energy
[25][28][47][122]. The use of AVS technologies in areas where a solar farm and agriculture coexist
[51][125][99] could have synergistic effects that aid in the production of ecosystem services such as crop production
[9][20][38], local climate regulation
[34][96][126], water conservation
[13][18][56], and renewable energy production
[21][85][127]; and it also aligns with food-energy-water (FEW) nexus
[34][63][126].
Thus, the integration should potentially influence the microclimate and soil moisture
[21][51][116]; hence, it may provide suitable environmental conditions
[18][34][43] and increase the water-use efficiency for agricultural production
[3][120][102] while maintaining the renewable energy production
[41][44]. As mentioned in 2.1, the photosynthesis process requires light, carbon dioxide, and water to produce glucose as the source of energy for plants. If the sources of light and carbon dioxide are not limited, an optimum amount of irrigation water is needed to enhance the photosynthesis rate. Thus, regions with insufficient water resources are most likely to benefit as solar management decreases potential evapotranspiration (PET) and water demand
[26][51][113][126]. The reducing amount of irrigation water needed without compromising crop-water requirements can make a significant contribution to reducing agricultural production costs, making the industry more competitive and sustainable
[18][21][65]. However, a systematic or proper irrigation schedule is a must in AVS sites
[120][128] to minimize the environmental impacts caused by excess water and leaching of subsequent agrichemicals
[129] that might affect the structure of solar PV. Water-use efficiency can be improved
[3][8][120] by understanding the concept of evaporation, evapotranspiration (ET), and irrigation water requirements
[130]. ET is the mechanism by which water originates from a wide range of sources such as soil compartment and/or layer of vegetation and is transferred to the atmosphere
[131]. Also, ET involves evaporation from bodies of surface water, surface of land, sublimation of snow and ice, plant transpiration, and intercepted canopy water
[120]. Besides that, the evaporation process that happens also significantly reduces the percentage of soil moisture content
[19][41][126]. On the other hand, irrigation water requirements are defined as the quantity of water necessary for crop growth
[130][132]. In addition, the loss of electrical output due to dust accumulation on the panel surface as a result of agricultural management, such as tillage and harvesting, is also a source of concern
[5][7][10][21]. In regions with low precipitation or long stretches of dry weather (e.g., monsoon climates), periodic cleaning of the module surface should be considered to prevent decreasing electricity yields due to dust accumulation
[85]. This could be done by combining irrigation systems and PV cleaning to reduce increased water use
[51]; however, without a small water distributor under the panels, it may result in inconsistent watering of crops
[119]. Hence, proper assessment of evapotranspiration
[128], soil moisture content
[129], and PV cleaning processes
[10][119] are needed before designing the irrigation system for agricultural production in AVS.
Another aspect is that extreme heterogeneity and spatial gradients in biomass production
[5] and soil moisture
[45][120] were observed as a result of the heterogeneous shade pattern of the PV array
[113]. In the studies conducted at Montpellier Experimental Agrivoltaic Station by
[4][6][18][69], the shadow effect of the PV array can be seen from the agricultural yield, where the HD structure produces more yield than the FD structure. The results show that, with the improvement of PV panel arrangement, LER may potentially exceed 1
[38][85]. Next, a solar tracker controller developed by
[53] found that maize grown under the AVS plots tended to have more stabilized and higher yields in drought stressors and rainfed conditions. Besides that, crop selection can also reduce the effect of the heterogeneous shade pattern of the PV array
[11][25][28]. This can be seen in the experiment conducted by
[61] using Java Plant Tea in Malaysia. The result obtained shows a good agreement between the selected crop and the PV panels above them that act as their artificial shading. To sum up, acts to reduce the extreme heterogeneity and spatial gradients in agricultural production are: (1) optimize PV array placement to create a spatially uniform shadow pattern
[4][10][125]; (2) improve the solar tracker controller that considers the need for solar radiation for both productions (electricity and agriculture)
[53][97][111]; (3) select a suitable crop to be planted with a minimal light source (due to shading effect of solar PV structure)
[25][54][85]. Besides that, as suggested by
[5][94], the PV structure can be raised to reduce the heterogeneity effect, while allowing the conventional agricultural machines to pass
[4][28][38], and reducing the back pain
[68] while doing agricultural work due to low PV structure
[86]. The gap between the pillars also needs to be suitable for planting distances and working widths of the machinery to avoid the loss of utilizable land
[5][41]. Careful planning is essential, since the space required for the machine to pass might restrict the amount of land available for solar panels
[19][68]. Also, ram protection should be installed to avoid collisions between agricultural machines and the solar PV pillars
[68].
Other than that, the agronomic practices for agricultural production at AVS, likely similar to standard and common agronomic practices
[62][101], include the steps listed in
Figure 43. More information on standard practices can be found in documents such as the ones written by
[133], which specifically address cropping systems and agronomic management. However, precision agriculture methods such as site-specific crop management (SSCM), for which decisions on resource application and agronomic procedures are being improvised, can be developed to better meet crop requirements based on soil heterogeneity in the field
[33].
Figure 43. Common Agronomic Practices.