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Revista Ciencias Técnicas Agropecuarias

versión On-line ISSN 2071-0054

Rev Cie Téc Agr vol.31 no.1 San José de las Lajas ene.-abr. 2022  Epub 12-Nov-2021

 

ORIGINAL ARTICLE

Use of Renewable Energy in Agricultural Processes to Produce Food

0000-0002-1371-4614Osvaldo André Paulo Ferreira-da SilvaI  , 0000-0003-3316-0898Pável Vargas-RodríguezII  *  , 0000-0003-4093-971XAbel Dorta-ArmaignacII  , 0000-0002-5114-7948Kaddiel Fernández-HungIV  , 0000-0003-3714-6989Ignacio Hernández-RamírezIII  , 0000-0001-7906-8398Alberto Méndez-JocikV 

IUniversidad de Ciego Ávila (UNICA), Centro de Estudios Hidrotécnicos, Ciego de Ávila, Cuba.

IIUniversidad de Oriente, Departamento de Ingeniería Hidráulica, Santiago de Cuba, Cuba.

IIIEmpresa Nacional de Proyectos Agropecuarios. UEB Ciego de Ávila, Cuba.

IVGrupo de Difusiòn Tecnològica. Empresa de Cìtricos, Contramaestre. Cuba

VEmpresa Nacional de Proyectos Ingeniería, Departamento de Diseño, La Habana, Cuba.

ABSTRACT

This work deals with the problem of food insecurity in the central region of Cuba, in a context characterized by the depletion of conventional energy sources and the negative effects of climate change. In Los Milian farm, Ciego de Ávila Province, the application of a closed cycle production process is foreseen for the production of food with the rational use of water and energy. It is conceived to use the surpluses of the biogas production process and to utilize dry matter as bio fertilizer. A system of treatment to reduce the pollutant load of the effluents, a domestic supply system coupled to a photovoltaic solar pump and an irrigation system compatible with the hours of least consumption of electricity are proposed. The results generate a positive social and environmental impact for Ciego de Ávila Province.

Key words: Water; Biomass; Solar Arrangement; Irrigation

INTRODUCTION

Ciego de Ávila is the province with the highest tourist activity in the country. The investments developed in Jardines del Rey Tourist Centre, foresee a short-term increase in the demand for agricultural products to meet the needs of development. This situation requires the rational and efficient use of water and energy through modern irrigation technologies (Tarjuelo, 1995; Tarjuelo & José, 2005), taking into account the conservation of the region's natural resources and their protection against the consequences of climate change.

The soils that make up the region present disadvantageous conditions due to the presence of saline intrusion, as well as due to the mostly flat relief of its surface, which hinders its natural drainage, all of which contributes to identify more than 35% of the soils of the region in quality categories II and III, on the scale of soil agro productivity. Recent reports assure that the overexploitation of these resources, mainly those destined for agricultural irrigation, has led to a significant decrease in these reserves and the consequent penetration of marine wedge in coastal areas of the province. As agriculture is the largest water consumer, the use of efficient irrigation technologies is an imperative to achieve the rational use of water and energy (FAO (PMA); MINAG-Cuba, 1999).

These reasons demand actions aimed to improving the management of water and energy in agricultural activities of the territory (Vanegas, 1988; Tarjuelo, 1995; Vigoa, 2001; Vargas, 2008). The solution involves the use of a hybrid system, in which photovoltaic solar energy is used to supply water to the processes generated by livestock and domestic activities in the farm, the use of solid waste generated in pig farming, to obtain biogas, and the application of specific treatment systems to reduce the pollutant load of waste from the livestock process (Díaz, 2002). Water coming from the well to guarantee the volumes necessary for the foreseen crops, will be pumped once filtered through a network pipes of HDPE conveniently designed to apply water to the irrigation plots.

MATERIALS AND METHODS

Milian farm, located on the periphery of Ciego de Ávila City, between coordinates 736039 North and 229762 East, with the entrance of the farm at 5½ km of the road that connects the capital city with Moron Municipality. The study case was described and energy consumption in the farm was characterized to determine the energy demand to be produced by biogas and the number of animals necessary to satisfy it. The supply system was also defined and the Soil -Water - Plant ratio necessary to design the irrigation system was characterized. The solar arrangement was defined and the dimensions of the photovoltaic module and its components, necessary to satisfy the water needs of the farm facilities were determined. They include the pig pens and the organs of treatment for the use of excreta in the biomass energy generation. Three Stabilization Lagoons were included as part of the treatment of domestic waste and irrigation activities.

Design Procedure for the Anaerobic Biodigester

Initially, the biodegradable potential was estimated to meet the need for cooking food, for lighting and as domestic fuel. The flow diagram of the Biogas Plant was selected based on the experience obtained from another similar system, taking into account climatological and hydro geological data, agricultural activities and their future projections for its implementation.

Calculation of Daily Biogas Demand of the Farm

The number of animals necessary to guarantee the daily residual volume and the biogas demand was determined without taking into account the residual product of the harvest or the breeding of other potentially useful animals. The area needed to produce 100% of the raw material required for feeding the pigs on the farm was estimated, so that there is sustainability in the process. The necessary biogas consuming equipment was identified and the consumption of each of them was estimated to determine the daily biogas demand of the farm. With these results, the number of animals necessary to guarantee livestock activities was calculated.

CB=N×TR×P×e1000 (1)

CB:

Biogas consumption per day (m3/d)

TR:

Hours of use in the day (h/day)

N:

Number of artefacts.

P:

Consumption of the artefact).

e:

Artefacts efficiency (%)

TABLE 1 Average consumption and efficiency of the equipment (Malalasekera, 2015

Equipment Consumption (L/h) Performance (%)

Kitchen burner

Blanket Lamp (60W)

Refrigerator de 100 L

Gas Engine

Infrared Lamp de 200W

Cap Lamp

Oven Burners

Stove with 4 burners and 1 oven

300-600

120-170

30-75

0.5 m3/kWh

30-40

100-120

420-500

1800-2100

50-60

30-50

20-30

25-30

80-90

30-50

20-30

20-40

Estimation of the Number of Animals Necessary to Supply the Demand for Biogas

Knowing the daily demand for biogas and using Table 1, the amount of excreta necessary was obtained, and the number of animals necessary to satisfy the demand, taking into account the parameters proposed in the following table.

TABLE 2 Properties and gas performance of some materials, (Acuña, 1984

Material (Excrement) Quantity (kg/animal) Solid Content (%) Rate C/N (carbon/nitrogen) Yield (L/kg/d)

Cows

Buffalo

Pigs

15 - 20

18 - 25

1,2 - 4

18 - 20

16 - 18

24 - 33

24 - 25

24 - 25

12 - 13

15 - 32

15 - 32

40 - 60

CP=CB×1000T×e (2)

Cp:

Number of animals needed.

CB:

Biogas consumption per day (m3/d).

T:

Amount given per day (kg/animal).

e:

Daily yield (L/kg material).

The volatile solids content of the residual was assumed from affecting 25% of the fresh excreta mass, (Savran, 2005).

Water Consumption of the Farm

The daily volume of water to be guaranteed for pigs was estimated in accordance with the Pig Breeding Manual and considering the fattening category, (45 L/d per animal); the water demand for the house was estimated for a supply of 100 L/d/p.

Biodigester Design Procedure

The biological demand of the effluent was obtained, considering maximum flow rate of the effluent, the volume of water necessary to use in the process, and the volume of sludge to be digested as well the volume of the biodigester.

Qmax=Ch×Qprom (3)

Average flow was computed by (4), assumed coefficient of irregularity (Ch = 2):

Qprom=N50×q (4)

Volume of water=V×(Pi-Pf)(100-Pf) (5)

Volume of sludge=Qprom-Vwater (6)

Volume of digested sludge=Vsludge×(Pfresi-Pfdig)(100-Pfdig) (7)

Vdigester=Vsludge-2/3(Vsludge-Vdig)×t (8)

DBO5effluent=DBO5×0.4 (9)

N 50:

Number of animals equivalent to 50 kg of weight.

q:

Allowance for each animal weighing 50 kg. (L/d)

Ch:

Irregularity coefficient.

Pi:

Approximate initial humidity of the residual (98.50%)

Pf:

Approximate final humidity of the residual (92.00%)

V sludge:

Volume of fresh sludge per day. (m3)

V dig.slu.

Volume of sludge digested per day. (m3)

t:

Digestion time (days) T ≥ 20 days;

V:

Volume of the Biodigester.

Calculation of the Biogas Storage Tank

Practical experience indicates that 40-60% of the daily biogas production normally has to be stored; therefore, a storage tank is required for it (Botero & Preston, 1986). The size of the tank depends on the relative rates of generation and consumption of biogas and was sized to cover the peak rate of consumption: in this case the size was determined based on maximum gas consumption; the capacity of the tank was increased by 20 % as margin of safety:

Vmaxc=GCmax×TCmax (10)

Gcmax:

Maximum hourly gas consumption (m3/h).

TCmax:

Time of maximum consumption (h).

Post-Treatment of Effluents from the Anaerobic Reactor

It was planned to reduce the water content and facilitate the handling of the bio-fertilizer, as well as eliminate bad odours from it. Drying beds were used to dehydrate the sludge, and convert the volatile solids into biogas.

Calculation of the Daily Volume of Sludge that Reaches the Drying Beds (V L/d: m3/d)

Calculation of Drying Beds

Vdrainday=Vloddig×(P2-P3)(100-P3) (11)

Volume  of dry  sludge =Vdig  sludge-Vdrenday (12)

Volume  of  dry  sludge  per year=V  dry  sludge×365 (13)

The area of the drying bed was obtained for sludge extractions every 26 days, 0.30 m thick and 14 extractions per year

Sludge  heigth=#  of  extractions×accumulated  thickness (14)

Drying  bed  area=Volume  of  dry  sludge  per  yearSludge  heigth (15)

P 2 :

Initial humidity (92%)

P s :

Final Humidity (75%)

Vdig sludge:

Volume of digested sludge.

Vdrainday:

Volume drained daily.

Organic Load According to Total Volatile Solids (STV)

STV=Sdigestedvolatile+Svolatiledepositing (16)

SSvolatiledepositing=SVS×0.5 (17)

STV=STVDigester volume (18)

Design of the Stabilization Lagoons

The organic load of these lagoons for tropical countries can range 20 to 35 g/m2/d with depths between 1 to 2.5 m, the usual length: width (L/W) ratio is 2 to 2.5 m and the hydraulic retention times can reach 10 to 20 d according to the treatment objective. These systems remove 60 to 80% of the total DBO5 from the feed in reference to the soluble DBO5 at the outlet and eliminate between 4 to 5 logarithmic orders in the faecal coliforms depending on the retention times.

For the calculation of the Anaerobic Lagoon, the empirical design per load was used, this method is based on assuming the Organic Load with which the Lagoon will work. A retention time of 3.03 days was assumed.

For the design of the Facultative Lagoon, Cubillo Method was used, a depth = 5 m was assumed and the modified Gloyna expression was used to calculate the Applied Surface Load.

Aspects to Consider as Environmental Benefit

To analyse the environmental effect of the produced biogas, the volume of CH4 that is no longer emitted into the atmosphere was considered, the protection of water sources from possible pollutants, the obtaining of organic bio-fertilizers, the reduction of the use of chemical fertilizers and the substitution of non-renewable energy sources.

Characterization of the Water - Soil - Plant - Climate Complex

The supply system was conceived to satisfy the needs of the crops and the consumption of the house, including the water needs for 400 piglets.

Supply Source

Water obtaining is from a well, with capacity = 2 L/s by means of a photovoltaic pump, selected to supply the farmer's home and for pig farming, the water will be driven to a tank raised 10 m high with the capacity for the required volume. For the irrigation system, it was planned to use another well with flow = 26 L/s coupled with a conventional pump. Water quality is adequate for irrigation and for household consumption, a value between 0.75 and 2.25 dS/m was assumed for design purpose (Pizarro, 2000).

Characteristics of the Crops to Benefit

Tolerance to salinity: low 2.3 dS / m (for Guava crop because it is the most demanding). Flooding tolerance = 24 hours, (for tomato crop, because it is the most demanding). The following table refers other parameters of the crops (Pizarro, 2000).

TABLE 3 Planting frame, crop coefficients and crop height (Allen et al., 1998

Crops P.F. (m×m) Kc ini Kc med Kc fin Height (m)
Guava 5 × 2 0.31* 0.93* 0.88* 2.0*
Cassava 0.9 × 0.9 0.3 0.8 0.3 1.0
Corn 0.9 × 0.4 0.7 1.2 0.6 - 0.35 2.0
Tomato 1.4 × 0.5 0.6 1.15 0.7 - 0.9 0.6
Water melon 0.5 × 0.4 0.4 1.0 0.75 0.4

* - Suggested values.

Hydro physical Properties of the Soil

General slope <1%, depth> 1.5 m, external and internal drainage was moderate to poor with depth. Moderately productive soils with a stabilized infiltration rate of 22.86 mm / h, a value of 2.3 dS/m was assumed, corresponding to a 90% reduction of the harvest in relation to the normal, (Pizarro, 1985).

Climatic Characteristics

The monthly average series of evaporation and rainfall for 11 years provided by the Hydraulic Resources Institute in Santiago de Cuba, as well the temperature, wind speed and relative humidity data.

Design Procedure of the Irrigation System

A topographic survey was used, at 1: 2000 scale with level curves every 1m. HDPE lateral pipe of 20 x 16 mm diameter, with auto compensating drippers inserted at 0 75 m along the pipe, flow rate = 2.5 L/h and pressure range He = 98 to 294 kPa.

Agronomic Design

The procedure proposed by Keller and Rodrigo cited by Pizarro (1996) was applied to estimate the crops water needs, the criterion of Allen et al. (1998) and Allen (2006) was taken into account to calculate the correction coefficients of the net water needs in the critical period of crops. An extra dose to anticipate the leaching needs in the case of harmful saline levels was taken into account. The irrigation frequency was estimated daily, according to the irrigation technique and water management facilities. Timing irrigation was calculated for each crop, anticipating not applying irrigation during the peak hours set by the National Electro Energetic System (SEN in Spanish).

Hydraulic Design

It was conceived to the dimensioning of the installation for satisfying crop water needs defined in the Agronomic Design. In addition, the topography of the plots data was taken into account, besides total of crop water needs and the crops practices, let to choose the type of emitter and the most appropriate lateral arrangement, this also allowed to estimate the maximum number of rotational units. The hydraulic calculation was simplified due to auto compensating drip emitters are used, to guarantee that the pressures in the important points of the irrigation plot are kept within the compensation range of the drippers as a guarantee that they deliver the necessary flow. Boundary conditions in which the installation should operate were defined and the design of the irrigation plots was executed and their number, location, as well as the pressure and flow regime necessary for the design of the control station.

PV Pump System Design Procedure

Feasibility of the Solar Operation on the Farm

For the selection of the use of photovoltaic pumping, it was verified that the amount of solar energy available is appropriate, also the availability of other sources of energy in the area and that the intended use of the extracted water is for human consumption.

In accordance with Bulté (1995), PV pumping systems are slightly cheaper than conventional ones for an operating time of 20 years, in the same way Bloos et al. (1996; 1997) confirmed that these systems are more reliable, autonomous and efficient.

Calculation and Selection of the Elements that Make up the PV Pumping System

To make the selection and sizing of the photovoltaic pumping system, it was taken into account the demand of the farmer's house and livestock activities, the convenient orientation of the photovoltaic panels and the power of the photovoltaic generator, as well as the number of modules in series and in parallel and the selection of the frequency converter and the conductors.

Calculation of the PV Generator Power: [PgFV (kW)]

Pgfv=PbaKs (19)

Pba:

water pump power (kW);

Ks:

safety coefficient (0.8 - 0.85 for Cuba)

This coefficient takes into account the total efficiency of the system (the average daily efficiency of the panel under operating conditions, the coupling factor, and the temperature coefficient of the cells). The selection of the solar arrangement was made with the Wincaps software.

Calculation of the Number of Modules in Series (Nms)

Nms=TnTnm (20)

Tn:

nominal voltage of the installation (V);

Tnm:

nominal voltage of the modules (V).

Calculation of the Number of Modules in Parallel (Nmp)

Nmp=Im maxIp max (21)

Im max:

maximum current demanded (A);

Ip max:

current for maximum power point (A).

Calculation of the Total number (Ntm) of Modules

Ntm=Nms×Nmp (22)

RESULTS AND DISCUSSION

The daily demand for biogas is 62.7 m3/d, and it is less than the volume of biogas produced, a part of it is destined for other users, or it can be stored.

TABLE 4 Daily demand of biogas in the farm 

Equipment Consumption (L/h) Quantity of Equipment Hours of use (h/day) Biogas Consumption (m3/d)
Farmer’s house
Mantilla lamp (60W) 170 10 6 10.2
Refrigerator de 100 L 75 1 12 0.9
Kitchen / 4 burners 1800 1 4 7.2
Pigpens
Kitchen / 4 burners 1800 1 2 3.6
Mantilla lamp (60W) 170 20 12 40.8
Total 62.7

TABLE 5 Design of biodigestor 

Description Unit 400 pigsof 100 kg
Digested sludge volume m3/d 3.50
Digestor capacity m3 96.67
Retention time Días 20
Volume of gas produced m3/d 90.9
Storage tank m3 36.36

An excreta-water ratio of the final mixture of 1: 3 by weight was selected; this solution contributes to a better biodegradation of the excreta.

TABLE 6 Sizing of the drying bed 

Description Unit 400 pigsof 100 kg

Daily drain volume

Daily dry sludge volume

Annual dry sludge volume

Extraction period

Amount of extractions

Thickness of sludge accumulation

Accumulated sludge area

m3/d

m3/d

m3/d

days

U

m

m2

2.38

1.12

408.80

26.00

14.04

0.30

97.07

9m2 were assumed for each plot. The dehydrated sludge can be used as solid fertilizer and can be applied directly to the crop.

Design of Stabilization Lagoons

The Anaerobic Lagoon; designed to reduce the pollutant load of the crude residual, with a depth = 2.5 m and retention time = 3.03 d. The pollutant load of the effluent decreases to 9.48 kgDBO5/m3 corresponding to a removal efficiency = 82.05 %, which is an acceptable value according to the design practice in Cuba.

The Facultative Lagoon 1 with a depth =1.5 m, but surface area greater than the anaerobic lagoon = 0.025 ha. For this case, the removal efficiency = 89.32 %, reducing the pollutant load to 0.06 kgDBO5/m3. To avoid an increase in the pollutant load, a second Facultative Lagoon was planned with the same depth, but less surface area = 0.0157 ha and a retention time = 4.4 d. A removal efficiency = 79.02 % was obtained. It is important to check the bacteriological quality of the effluent before deciding its final destination, due to the risk of the presence of pathogens whose presence limits the reuse of the effluent in the irrigation of planned agricultural crops.

Table 7 shows the results of the agronomic design, Table 8 the results of the hydraulic design (20 × 16 mm) and Table 9 the exploitation parameters of the irrigation system.

Figure 1 shows the simulation of the hydraulic behavior of the farm's irrigation system and Figure 2 shows the general scheme of exploitation of the farm's irrigation area.

TABLE 7 Results of the agronomic design 

Crops Irrigation Timing (h) Irrigation Dose (L) Total water needs (L)
Guava 6.1 40 39.97
Corn 2.3 3.07 3.07
Tomato 3.04 4.06 4.05
Cassava 1.56 4.67 4.66
Water melon 1.06 1.41 1.41

TABLE 8 Results of hydraulic design (lateral pipe 20 x 16 mm) 

CROPS Lateral length (m) Lateral discharge(L/s) ho (kPa) h mín. (kPa) Pressure range
Guava 100 0.093 108.04 92.55 98 - 294
Cassava/ Corn 100 0.093 108.04 92.55 98 - 294
Tomato / Watermelon 100 0.093 108.04 92.55 98 - 294

TABLA 9 Parameters of operation of the irrigation system 

CROPS Applying Flow (L/s) Irrigation timing (h) Irrigation Schedule (h) Irrigation area (ha)
Guava 8.92 12 18:00 a 06:00 9.60
Cassava 16.38 6.24 06:00 a 12:24 7.80
Corn 16.38 9 06:00 a 15:00 7.80
Tomato 16.38 12 18:00 a 06:00 6.96
Water melon 16.38 4.24 06:00 a 10:24 6.96

FIGURE 1 Simulation of the hydraulic behavior of the farm’s irrigation system 

FIGURE 2 General scheme of exploitation of the farm´s irrigation area 

Next, the parameters of operation of the selected bomb are presented (Table 10).

TABLE 10 Operational parameters of the selected pump 

BRAND Discharge (L/s) Pressure (kPa) Power (kW) Efficiency 𝛈 (%) NPSHr
Pump:6S181B/2B 25.3 L/s 406.7 kPa 7.1 kW 72 % 5.9 m

Analysis of the results of the selection of the photovoltaic solar arrangement

In the Tables 11, 12 and 13, the necessary parameters are described for the selection of the photovoltaic pump, parameters for the calculation of the necessary current and parameters of design of the solar arrangement, respectively

Pump Grundfus SQF 2.5-2 N, (Table 11a), encapsulated, stainless steel, maximum temperature = 40℃. Three-speed motor and protection against dry running. High performance engine of permanent magnet, and over-voltage and under-voltage protection. Protection against maximum power tracking point. Panels with 50 W of power of the polycrystalline and amorphous silicon type, inclined. Nominal power and voltage = 0.24 kW and 152 kW, respectively. Orientation (0° = south; 90° west; 180° north; 270° east) (Azimuth α = 0°) and Tilt angle β = 21°.

TABLE 11 Parameters necessary for the selection of photovoltaic pump 

Volume of water needed per day 6 m3/d
Site insolation 8 h pico/día
Pumping regime 2 m3/h
Static charge 6 m
Friction charge 4 m
Total charge 10 m

TABLE 11a Information of the set Pump -Engine 

Brand Grundfus
Model SQF 2.5-2 N
Pump type Centrifuge
Engine type MSF3 N
Operating voltage 30-300 V
Pump efficiency 80%

TABLE 12 Parameters for calculating the required current 

Need daily water volume 6 m3/d
Total dynamic charge 10 mca
Hydraulic energy 23760 Wh/d
Pump efficiency 0.8
Energy of photovoltaic arrangement 32400 Wh/d
Nominal voltage of the system 300 volt
Electric charge 27.5 Ah/d
Driver performance factor 0.95
Corrected electric charge 28.6 Ah/día
Site insolation 8 h pico/d
Project current 7 Amp

TABLE 13 Design parameters for solar arrangement 

Project current 7 Amp
Modulus reduction factor 0.85
Module Current Imp. 0.329 Amp
Nominal system voltage 200 Volt
Voltaje del módulo 152 Volt
Serial modules 1 U
Parallel modules 3 U
Photovoltaic arrangement capacity 1.13 kW

Using biogas for cooking food and lighting, 33069 m3 of methane gas are no longer emitted into the atmosphere per year, in turn, the biomass energy produced, contributes to avoid the use of 5.7 Tn of equivalent oil per year, which constitutes a limited resource, and emits harmful gases towards the ozone layer such as NOX; CO2; HC and SO2, which when burned can cause acid rain. The sludge from the digester is an excellent fertilizer, and it replaces the use of chemical fertilizers, saving time and financial resources for the farmer. The water treatment from the reactor removes a considerable amount of total volatile solids and DBO5 and allow releasing according to the Cuban Standards.

Drip irrigation systems allow using water and energy efficiently and humanize the irrigation activities and apply irrigation outer the maximum electric consume, as well as increasing food production for markets and sale points. Photovoltaic solar energy is an ecological and economical solution in communities far from the SEN, it is expected to produce energy at 2.6 t/year of equivalent oil per year and contributes to reducing exports.

TABLE 14 Qualitative assessment of energy, water and environmental savings 

Anaerobic biodigester
Volume of methane retained from the atmosphere 33069 m3/year
Equivalent energy produced from biomass 56940 kWh/year
Tons of oil saved 5.7 Tn/year
Emissions retained for oil savings
NOX 204.6 kg/year
CO2 13.8 kg/year
CO 47.9 kg/year
HC 5.00 kg/year
SO2 5.9 kg/year
Organic fertilizer produced 97.1 Tn/year
DBO avoided from receptor bodies 3168 kg/DBO/year
Photovoltaic generator
Produced energy 26280 kWh/year
Tons of oil saved 2.6 Tn/year
Emissions retained for oil savings
NOX 30.7 kg/year
CO2 2.1 kg/year
CO 7.19 kg/year
HC 0.75 kg/year
SO2 0.88 kg/year

CONCLUSIONS

  • The proposed solutions favour the application of a closed cycle production process on Milian farm and contribute to the production of food through environmentally friendly alternatives.

  • It is not convenient to reuse treated wastewater for irrigation of crops and other agricultural activities without taking into account the bacteriological quality of the effluent.

  • The biogas plant allows the exploitation of the farm's biodegradable potentiality and entails a positive social and environmental impact.

  • Photovoltaic arrangement is compatible with the supply needs of farms and it does not conceive a battery to store solar energy; furthermore, economic price is possible for solar module.

REFERENCES

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ALLEN, R.G.; PEREIRA, L.S.; RAES, D.; SMITH, M.: “Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56”, FAO Irrigation and Drainage Paper, 56(9): 300, Fao, Rome, Italy, 1998, ISSN: 0254-5293. [ Links ]

BLOOS, H.; GENTHNER, M.; HEINEMANN, D.; JANSSEN, A.; MORAES, R.: “Photovoltaic Pumping Systems”, EuroSun96, : 583-589, 1996. [ Links ]

BLOOS, H.; M GENTHNER; HEINEMANN, D.; JANSSEN, A.; MORAES, R.: “Photovoltaic Pumping System-An Analysis of Two Concepts”, En: 14th European Photovoltaic Solar Energy Conference, Barcelona, España, 1997. [ Links ]

BOTERO, R.; PRESTON, T.R.: Low-cost biodigester for production of fuel and fertilizer from manure, Cali, Colombia, 1-20 p., 1986. [ Links ]

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DÍAZ, M.M.: Tratamiento de residuales por sistemas naturales, Inst. Centro de Estudio de Ingeniería de Procesos. Instituto Superior Politécnico José Antonio Echeverría, Monografía para la Asignatura Procesos de Autodepuración de la Maestría de Ingeniería en Saneamiento Ambiental, La Habana, Cuba, 2002. [ Links ]

FAO (PMA); MINAG-CUBA: “Proyecto VAM. Análisis y Mapificación de la Vulnerabilidad en Cuba”, Inst. FAO- Ministerio de la Agricultura, Proyecto VAM, La Habana, Cuba, 1999. [ Links ]

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Received: March 02, 2021; Accepted: November 12, 2021

*Author for correspondence: Pável Vargas-Rodríguez, e-mail: osvald23000@gmail.com

Osvaldo André Paulo Ferreira-da Silva. Aspirante a Grado Científico. Universidad de Ciego de Ávila (UNICA), Centro de Estudios Hidrotécnicos, Ciego de Ávila, Cuba, e-mail: osvald23000@gmail.com

Pável Vargas-Rodríguez, Profesor Titular, Departamento de Ingeniería Hidráulica, Universidad de Oriente. Santiago de Cuba, Cuba, e-mail: pvargas@uo.edu.cu

Abel Dorta-Armaignac, Profesor Auxiliar, Departamento de Ingeniería Hidráulica, Universidad de Oriente. Santiago de Cuba, Cuba, e-mail: abel@uo.edu.cu

Kaddiel Fernández-Hung, Especialista, Grupo de Difusión Tecnológica Empresa de Cítricos Contramaestre, Santiago de Cuba, Cuba, e-mail: opp1@geditec.co.cu; kfdezh@gmail.com

Ignacio Hernández-Ramírez, Especialista en Proyectos. Empresa Nacional de Proyectos Agropecuarios. UEB Ciego de Ávila. hidráulico5@enpa.cav.minag.cu

Alberto Méndez-Jocik, Jefe del Departamento de Diseño, Empresa de Proyectos Ingeniería, La Habana, Cuba, e-mail: joc4263@gmail.com

The authors of this work declare no conflict of interests.

AUTHOR CONTRIBUTIONS: Conceptualization: P. Vargas. Data curation: Osvaldo A. P. F. da Silva. P. Vargas. Formal analysis: Osvaldo A. P. F. da Silva. P. Vargas. A. Dorta. I. Hernández. A. Méndez. Investigation: Osvaldo A. P. F. da Silva. P. Vargas. A. Dorta. I. Hernández. A. Méndez. Methodology: Osvaldo A. P. F. da Silva. P. Vargas. A. Dorta. I. Hernández. A. Méndez. Supervision: Osvaldo A. P. F. da Silva. P. Vargas. A. Dorta. I. Hernández. A. Méndez. Roles/Writing, original draft: Osvaldo A. P. F. da Silva. P. Vargas. Writing, review & editing: Osvaldo A. P. F. da Silva. P. Vargas.

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