Electrification of a Remote Rural Farm with Solar Energy—Contribution to the Development of Smart Farming
Abstract
:1. Introduction
- SDG2: promote food and sustainable agriculture. The farm has areas for cultivation and pasture capable of providing food (vegetables and legumes) as well as dairy products and meat (cattle, chicken, sheep, etc.) and water for irrigation;
- SDG6: availability of clean water and sanitation. The system has a 10,000 L underground tank whose capacity ensures sanitary and bathing consumption. This capacity depends on the amount of rain that is stored annually;
- SDG7: affordable, reliable, and renewable energy. The rural farm is supplied based on clean alternative energy. It consists of a photovoltaic system supported by a mini hydro and a wind turbine. In the absence of any of the aforementioned renewable energy sources, the farm will continue to operate, as it is connected to the Portuguese electricity distribution network, with an alternative energy source;
- SDG9: industry, innovation, and infrastructure. This system is innovative. The rural farm is fully automated. The implemented system allows remote access to rural farm owners and users, where it is possible to control and monitor, in real time, the proper functioning of domestic and rural equipment associated with the farm and the rural house;
- SDG11: sustainable cities and communities. This project contributes to this SDG through the use of renewable and sustainable energy, which reduces the negative environmental impact per capita in the area where it operates. In addition, it is adapted to climate change due to the reduction of the carbon footprint of the agricultural products. This allows one to make it a smart grid.
2. Development of Sustainable Farms
- Development and implementation of a photovoltaic system for rural and residential automation aimed at real-time control and monitoring of the installation’s equipment.
- Reduction of energy consumption in the rural farm and residence, eliminating dependence on traditional energy sources obtained through fossil means or the conventional electrical grid.
- Continuous monitoring of significant electrical quantities at the farm and residence through real-time visualization pages, enabling analysis and application of corrective measures to maximize the performance of the photovoltaic system.
- Description of the development and implementation of a photovoltaic automation system for real-time control and monitoring of equipment.
- Emphasis on the difficulty of comparing the development and implementation of renewable energy solutions due to the lack of access to confidential technical data.
- Based on comparative analysis with similar solutions, no identical solution exists with the results and technologies obtained through this configuration, allowing for the addition of other renewable energy sources such as wind and hydroelectric power.
- Discussion on the migration, transformation, and implementation of agrivoltaic photovoltaic systems, highlighting the most significant starting points for their construction.
- Evaluation of possible constructions, objectives, problems, and added value in the implementation of agrivoltaic photovoltaic systems.
3. Case Study
3.1. Case Implementation
- Activate or deactivate loads in the house, such as the pump motor that allows water to be collected from underground;
- Activate or deactivate loads such as lighting, blinds, irrigation system, etc.;
- Checking the operation of certain equipment and/or devices at home and abroad;
- Checking the working condition of the various pieces of equipment that make up the house;
- Generate warning signals if any anomaly occurs;
- Send SMSs in case of fire or another anomaly.
3.2. Photovoltaic Generator Sizing
- Nominal power of the photovoltaic generator: 13.0 kW (crystalline silicon);
- Estimated losses due to temperature and low irradiation: 10.8% (using local ambient temperature);
- Estimated loss due to angular reflection effects: 2.6%;
- Other losses (cables, inverters, etc.): 14.0%;
- Losses from the combined photovoltaic system: 25.3%;
- Optimal tilt angle: 36°.
3.3. Photovoltaic System Implemented
3.4. Equipment That Composes the Implemented Photovoltaic System
- Connect and collect measurement values from up to eight measurement modules;
- Prepare data for transmission to higher commands;
- Supply power to the connected measurement modules;
- Eight-channel current measurement up to 20 A DC;
- Detection of reverse currents up to 1 A;
- Four-channel add-on modules for 20 A DC;
- Digital input for monitoring, from the remote signaling contacts of the surge protection modules;
- Power supply via the communication module;
- Voltage measurement up to 1500 V DC in any grounded photovoltaic system;
- Connection and supply normally via the analog input provided by the eight-channel current measurement;
- Solar check current measurement module;
- Output of the voltage measurement value as an analog signal.
3.5. Economic Analysis of the Implemented System
4. Discussion
4.1. Comparison with Similar Cases
4.2. Critical Analysis
- System A supplies energy to the farm equipment and the farmhouse, while System D supplies energy only to the farmhouse. In addition, System A has a high degree of automation of the house and the photovoltaic system implemented, which allows for a significant reduction in the cost of the monthly energy bill;
- System A manages two alternative renewable energy sources, one solar photovoltaic and the other wind or mini hydro. System D has a diesel generator, i.e., a nonrenewable energy source. In addition, System A makes it possible to use the national electricity grid as a backup source of energy in the event of a failure in the supply of any of the renewable energy sources;
- System A will have a lower battery replacement cost in the future, since the installed capacity is lower than that of System D. In addition, System A has a higher capacity percentage (%) of the battery charge rate, with an autonomy for the installed power of 5/6 days, which is very good;
- System A has local/remote control and monitoring for the photovoltaic system as well as for the automated equipment on the farm and in the rural dwelling. System D does not have a degree of automation, remote access, or integrated controls.
4.3. Adaptation to Agrivoltaic Systems
5. Conclusions
6. Future Work
- System optimization: developing enhanced design and deployment techniques for agrivoltaic systems to maximize energy production efficiency while supporting diverse types of crops and varying environmental conditions.
- Economic feasibility studies: conducting comprehensive and detailed analyses on the economic viability of agrivoltaic systems across different scales, considering costs, benefits, and long-term financial impacts for farmers.
- Environmental impact research: investigating environmental impacts, including life cycle assessments, potential carbon emission reductions, and comparative analyses with other renewable energy sources and conventional agricultural methods.
- Adaptation and technological integration: advancing technologies tailored and integrated to enhance the harmonious coexistence of agricultural production and solar energy generation, including innovations in solar tracking systems, support materials, and energy efficiency.
- Standardization and policies: establishing technical standards and guidelines for agrivoltaic system implementation as well as formulating governmental policies and incentives that promote the adoption and expansion of these technologies.
- Monitoring and case studies: conducting detailed studies and long-term monitoring in agrivoltaic farms and test areas to evaluate performance, resilience, and social, economic, and environmental impacts over time.
- Education and awareness: investing in educational programs and awareness campaigns for farmers, rural communities, and policymakers about the benefits, challenges, and best practices related to agrivoltaic systems.
- Addressing technical challenges: tackling technical challenges such as integrating different renewable technologies, energy storage, and smart grid management to optimize the operation of agrivoltaic systems.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Equipment List | Quantity |
---|---|
SILIKEN panels with 180 Wp peak power | 72 |
Structure for fixing the panels to the ground, with ETTATRACK 1500 solar tracker system (for 12 panels each) | 6 |
Sunny Boy 3800 V inverters (up to 95.6% efficiency) | 3 |
Battery inverter (off-grid): Sunny Islands 5048 (efficiency up to 95%) | 3 |
(3 × 8) batteries: 8OPzS 800 Elem.2 V-1166 Ah/C120 h | 24 |
Battery shelf | 1 |
Material earth protection system, modules, junction boxes, electrical wiring, circuit breakers, electrical panels, etc. | 1 |
Multicluster MC-Box 6.3 | 1 |
Monitoring option: Sunny WebBox | 1 |
Router | 1 |
Equipment List | System A (Case Study) | System B | System C | System D |
---|---|---|---|---|
Peak power of the installed photovoltaic system (Wp) | 13,000 | 56 | 24,000 | 10,000 |
PV System—fixed or solar tracker | Solar tracker | Fixed | Fixed | Fixed |
Energy consumption per day (kWh) | 89.43 | 121 | 54.64 | 36.2 |
Installed battery size (Ah) | 1166 | 85 | 1202 | 1800 |
Own production | Yes | Yes | Yes | Yes |
Local and remote control/monitoring system ability | Yes | No | No | No |
Prepared to include a wind generator or mini hydro | Yes | No | No | No |
Automatic energy selection from own production or external grid network | Yes | No | No | No |
Batteries autonomy in days for the installed power without sun | 5/6 | n.a. | n.a. | n.a. |
Reduction energy from grid (%) | 83.24% | n.a. | n.a. | 86% |
Percentage (%) of load rate/batteries’ autonomy for the installed power | 86 | n.a. | n.a. | n.a. |
Type of automation (PLC or other) | Yes | No | No | No |
System uses HMI or other equipment for monitoring and controlling the system | Yes | No | No | No |
Automation able to optimize/reduce consumption | Yes | No | No | No |
System must comply with the IEC 60364-7-712 standard [25] | Yes | n.a. | n.a. | n.a. |
Peak power of the installed photovoltaic system (Wp) | 13,000 | 56 | 24,000 | 10,000 |
PV system—fixed or solar tracker | Solar Tracker | Fixed | Fixed | Fixed |
Energy consumption per day (kWh) | 89.43 | 121 | 54.64 | 36.2 |
Power energy source choice with automatic control | Yes | No | No | No |
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Santos, A.A.; Pereira, F.; da Silva, A.F.; Caetano, N.; Felgueiras, C.; Machado, J. Electrification of a Remote Rural Farm with Solar Energy—Contribution to the Development of Smart Farming. Energies 2023, 16, 7706. https://doi.org/10.3390/en16237706
Santos AA, Pereira F, da Silva AF, Caetano N, Felgueiras C, Machado J. Electrification of a Remote Rural Farm with Solar Energy—Contribution to the Development of Smart Farming. Energies. 2023; 16(23):7706. https://doi.org/10.3390/en16237706
Chicago/Turabian StyleSantos, Adriano A., Filipe Pereira, António Ferreira da Silva, Nídia Caetano, Carlos Felgueiras, and José Machado. 2023. "Electrification of a Remote Rural Farm with Solar Energy—Contribution to the Development of Smart Farming" Energies 16, no. 23: 7706. https://doi.org/10.3390/en16237706
APA StyleSantos, A. A., Pereira, F., da Silva, A. F., Caetano, N., Felgueiras, C., & Machado, J. (2023). Electrification of a Remote Rural Farm with Solar Energy—Contribution to the Development of Smart Farming. Energies, 16(23), 7706. https://doi.org/10.3390/en16237706