Academic literature on the topic 'Solar Farm Operations'
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Journal articles on the topic "Solar Farm Operations"
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Researcher. "THE ROLE OF CLOUD COMPUTING IN SCALING PREDICTIVE MAINTENANCE FOR SOLAR FARMS." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 1132–50. https://doi.org/10.5281/zenodo.14145293.
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This comprehensive article examines the transformative role of cloud computing in scaling predictive maintenance operations for utility-scale solar farms. The article investigates how cloud platforms like AWS SageMaker and Microsoft Azure Machine Learning are revolutionizing maintenance strategies through advanced data processing and machine learning capabilities. With solar PV capacity projected to reach 2,350 GW by 2027, the integration of cloud computing has become crucial for managing the complexity of modern solar installations. The article analyzes how these platforms process over 100,000 data points per second per facility, enabling high-precision monitoring of panel temperatures (±0.5°C accuracy) and power output fluctuations at millisecond intervals. Through case studies of implementations at Desert Sun Solar Farm and SolarTech Facilities, the research demonstrates significant operational improvements, including a 47% reduction in unexpected downtime and 32% decrease in maintenance costs. The article encompasses technical architecture, machine learning operations, and cost-benefit considerations, providing insights into both current capabilities and future developments in cloud-based solar farm maintenance.
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Gazzawe, Foziah, and Marwan Albahar. "Proposed Solar-Powered Motion Sensor for Farm Monitoring and Surveillance: A Solar-Powered Assisted Process." F1000Research 14 (June 25, 2025): 624. https://doi.org/10.12688/f1000research.164633.1.
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Background The farming industry faces continuous threats from pest control and farm security issues because rodents cause significant damage to crops and disrupt farm operations. Traditional pest control methods require continuous human interaction which proves both resource-intensive and inefficient. Modern agricultural practices benefit from sustainable solutions through the combination of renewable energy with smart technologies. Method The research presents an innovative solar-powered motion-sensor system that utilizes OpenCV-based image analysis to detect and classify rodent intruders on farmland autonomously. The system depends on solar panels for energy autonomy while employing computer vision to monitor threats in real time and classify them. Results The system demonstrates its ability to detect and prevent rodent intruders according to initial testing results. The OpenCV system uses motion sensor signals to analyze movement patterns before distinguishing rodents from other detected objects. The solar-powered system operates continuously which decreases human intervention needs and enhances farm surveillance capabilities. The model demonstrates its capability to defend crops from rodent damage and enhance farm resistance against land degradation threats. Conclusion The proposed system demonstrates progress in uniting renewable energy systems with smart surveillance technologies to mitigate agricultural risks. The current system encounters problems with detecting wild animals beyond rodents as well as tracking rodent activity beneath ground level. Future developments could include improved pest capture systems alongside enhanced surveillance features for detecting both unauthorized human intruders and large animals. The research shows that solar power systems need to be connected with automated monitoring technology to create sustainable agricultural operations that are efficient and resilient.
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Bright, E. Immanuvel, V. S. Arun Pravin, V. Jothika, A. Kulanthaivelu, and A. Mythili. "Automated Solar Energy Multi-Function Farm Robot." Journal of Instrumentation and Innovation Sciences 7, no. 3 (2022): 11–16. http://dx.doi.org/10.46610/jiis.2022.v07i03.003.
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The major goal of creating this robot was to offer farmers a versatile, tiny, and reasonable robot for sustainable crop production. It is a multi-tasking robot that uses solar energy for a range of tasks, such as spraying nutrients on crops and mowing lawns. The data gathered by the gadget is sent to farmers using a cloud website called BLYNK app and the field is monitored by the farmers by browsing the BLYNK app channel link. This project uses Node-MICROCONTROLLER ESP8266, DHT11 sensor, and soil moisture sensor. The Wi-Fi module built inside the microcontroller transmits the data to the cloud database of the BLYNK app. Additionally, it has a sensor module that can identify hurdles and alert the user while also notifying the robot side with a buzzer. It indicates the right path to take the robot in. We have a large area to cover with the robot because all of these tasks are carried out utilizing solar energy, which eliminates the need for an additional power source. Because this robot is controlled by a smartphone, the human effort will be reduced. It is economical because it involves several operations. It is also user-friendly because it delivers message indications to the owner via a mobile application.
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Imani, Moslem, Hoda Fakour, Shang-Lien Lo, et al. "Aquavoltaics Feasibility Assessment: Synergies of Solar PV Power Generation and Aquaculture Production." Water 15, no. 5 (2023): 987. http://dx.doi.org/10.3390/w15050987.
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The negative effects of climate change have burdened humanity with the necessity of decarbonization by moving to clean and renewable sources of energy generation. While energy demand varies across the sectors, fisheries, including fishing and aquaculture, are among the most energy intensive processes in the food production industry. The synergistic opportunities for co-located aquaculture and renewable energy can thus provide a multifunctional use of space and resources, creating opportunities to meet the identified energy demands of a variety of aquaculture operations. This study has investigated a sustainable energy model for a small-scale shrimp farm in western Taiwan with synergies for the dual use of the water area for solar photovoltaic electricity generation and aquaculture. Based on the simulation results and SWOT analysis, recommendations have been made for the design and operation of a solar-powered aeration system for shrimp farms. The average monthly energy production of 32 MWh is attainable at the estimated canopy space on a carport by installing 896 solar modules on the proposed site, fully covering the power demand of the shrimp farm. These findings have significance for encouraging effective practices in deploying solar techniques in aquaculture and making them replicable in global settings.
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M. O., Ganiyu,, Raufu, M. O., Agbogunleri, O.W, Miftaudeen-Rauf, A.A, and Orisakwe, E. U. "Determinants of Farm Household’s Willingness to Adopt Solar Energy Resource in Rural Oyo State, Nigeria." International Journal of Research and Innovation in Social Science VIII, no. IX (2024): 197–207. http://dx.doi.org/10.47772/ijriss.2024.809017.
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The willingness to adopt solar energy resource (SER) for farming operations is currently a topic of growing recognition in the context of sustainable agriculture and inclusive rural development. This study analyzed the determinants of farm households’ willingness to adopt SER in rural Oyo state, Nigeria. Primary data were collected with structured questionnaire from 45 respondents due to the low population size of SER users in the study area. The data were described with frequency percentage, composite score and analyzed with ordered logit regression. The findings identified that the willingness to adopt SER was categorized into rarely willing, willing and strongly willing by composite score and it was found that most (68.89%) of the respondents are willing to adopt SER. The challenges militating against farm households’ willingness to adopt SER include high cost of solar energy devices, weather effect on SER, risk of theft and vandalism, small size of farm holdings among others. Also, ordered logit model revealed that marital status 1.493 (P<0.01), community-based association 1.531(P<0.05), solar cost price -2.547 (P<0.1) and annual farm income 0.887 (P<0.05) were significantly determined farm households’ willingness to adopt SER. Therefore, the study concludes that SER is recognized as one of the emerging technologies for agricultural transformation and development. Hence, equipping farms with solar energy technology requires strengthening community-based association, security alerts, farm holdings expansion as well as subsidizing the installation cost of solar energy panels. It was recommended that the stakeholder and government policy interventions should support investment in SER for developing agricultural practices.
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Rodriguez-Vazquez, Javier, Inés Prieto-Centeno, Miguel Fernandez-Cortizas, David Perez-Saura, Martin Molina, and Pascual Campoy. "Real-Time Object Detection for Autonomous Solar Farm Inspection via UAVs." Sensors 24, no. 3 (2024): 777. http://dx.doi.org/10.3390/s24030777.
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Robotic missions for solar farm inspection demand agile and precise object detection strategies. This paper introduces an innovative keypoint-based object detection framework specifically designed for real-time solar farm inspections with UAVs. Moving away from conventional bounding box or segmentation methods, our technique focuses on detecting the vertices of solar panels, which provides a richer granularity than traditional approaches. Drawing inspiration from CenterNet, our architecture is optimized for embedded platforms like the NVIDIA AGX Jetson Orin, achieving close to 60 FPS at a resolution of 1024 ×1376 pixels, thus outperforming the camera’s operational frequency. Such a real-time capability is essential for efficient robotic operations in time-critical industrial asset inspection environments. The design of our model emphasizes reduced computational demand, positioning it as a practical solution for real-world deployment. Additionally, the integration of active learning strategies promises a considerable reduction in annotation efforts and strengthens the model’s operational feasibility. In summary, our research emphasizes the advantages of keypoint-based object detection, offering a practical and effective approach for real-time solar farm inspections with UAVs.
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Asrori, Asrori, Pipit Wahyu Nugroho, Eko Yudiyanto, Kris Witono, Haris Puspito Buwono, and Mohammad Noor Hidayat. "INNOVATIVE COOLING SYSTEM: SOLAR-POWERED WATER SPRAYERS FOR CATTLE SHEDS IN TULUNGAGUNG REGENCY." Abdi Dosen : Jurnal Pengabdian Pada Masyarakat 8, no. 4 (2024): 1502–14. https://doi.org/10.32832/abdidos.v8i4.2477.
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The Community Service (CS) project was implemented in Sumberingin Kidul Village, Ngunut District, Tulungagung Regency, East Java. The target beneficiary was UD. Arta Lumintu, a local SME engaged in beef cattle farming. The farm, established in 2017, was temporarily closed due to the Covid pandemic and resumed operation after a year. Key challenges included high temperatures (24-31°C) and humidity (74-77%), which negatively impacted cattle productivity and excessive electricity consumption for cattle shed operations. The project aimed to address these issues by installing a water spray system with a high-pressure pump and an off-grid solar power system. The system effectively reduces temperature and humidity in the sheds while minimizing electricity costs. The installation consists of a 540 Wp solar panel, a 1500 VA Smart inverter, a 100 Ah VRLA battery, and six pressurized water sprinkler points positioned in various areas of the cattle sheds, powered by a 350 W booster pump. This initiative improves farm efficiency, supports energy independence, and introduces smart farming technology to benefit local farmers.
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B. B., Shani,. "Evaluation and Optimization of Hybrid Renewable Energy Systems for Sustainable Farm Machinery Operations in Northern Nigeria." Research Journal of Agricultural Economics and Development 3, no. 1 (2024): 105–21. http://dx.doi.org/10.52589/rjaed-riuoosl9.
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This study aimed to assess and optimize hybrid renewable energy systems (HRES) integrating solar and wind energy for sustainable farm machinery operations in Northern Nigeria. A purposive sampling technique was used to select representative farms and agricultural sites within the Kaduna region. Qualitative data were collected through interviews and surveys with farm owners and operators to gain insights into energy use practices, challenges, and perceptions regarding renewable energy adoption. The comparative analysis of different HRES configurations revealed that Configuration C, with the highest solar (20 kW) and wind capacities (15 kW), achieved the highest renewable energy fraction of 90% and the lowest annual cost of $14,800. Configuration B, with increased capacities (15 kW solar and 10 kW wind) and a battery capacity of 200 kWh, achieved an 85% renewable fraction and reduced the annual cost to $16,200. The cost-benefit analysis confirmed that HRES are economically viable and offer significant environmental advantages compared to conventional diesel generators. These findings underscore the potential for optimizing energy resources to achieve higher renewable energy fractions and lower operational costs. The study provides practical recommendations for promoting HRES adoption, highlighting the necessity for financial support, technical training, and robust policy frameworks to facilitate the transition towards sustainable energy solutions in agriculture.
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Querikiol, Edward M., and Evelyn B. Taboada. "Performance Evaluation of a Micro Off-Grid Solar Energy Generator for Islandic Agricultural Farm Operations Using HOMER." Journal of Renewable Energy 2018 (December 2, 2018): 1–9. http://dx.doi.org/10.1155/2018/2828173.
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A study was conducted to evaluate the performance of a 1.5 kW micro off-grid solar power generator in a 2-hectare area of a 23-hectare agricultural farm located in Camotes Island, Cebu, Philippines (10°39.4′ N, 124°20.9′ E). The area requires at least 3000 liters of water every day to irrigate its plantation of passion fruit and dragon fruit; however, there is no water source within the immediate vicinity that can support such requirement. A 1/2 horsepower water pump was installed to provide the required irrigation. A 1.5 kW solar photovoltaic (PV) system consisting of 6 units of 250-watts solar PV panel with corresponding 6 units of 200 ampere-hour deep cycle batteries managed by a 3-kW industrial grade inverter provided the power for the water pump and supplied for the electricity demand of the farm. The actual energy usage of the farm was measured from the built-in monitoring of the charge controller and the installed system was analyzed to determine its efficiency in meeting the actual load demand. The HOMER optimization tool was used to determine the optimal configuration for the micro off-grid system based on the actual load demand. Simulation results showed that the optimum configuration that could supply the actual load is a 2.63 kW all-PV system with 8 kWh batteries. Sensitivity analysis was done to consider (1) possible increase in electrical load when the current plantation expands either in progression or outright to its full-scale size of 23 hectares and (2) variations in fuel cost. This study can be considered a good model in assessing renewable energy needs of farms in the country, which can be operationalized for agricultural purposes.
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Peter Makinde and Esther Obikoya. "Implementation of solar system for electricity generation for rural farmers: A review." World Journal of Advanced Research and Reviews 22, no. 3 (2024): 458–71. http://dx.doi.org/10.30574/wjarr.2024.22.3.1705.
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Solar energy offers a promising renewable alternative to traditional fossil fuel-based electricity generation for powering agricultural activities in remote rural areas. Several studies have demonstrated the technical and economic feasibility of photovoltaic, solar thermal, and hybrid solar systems for various on-farm applications such as water pumping, crop drying, greenhouse heating. These systems provide clean energy for irrigation, milling, cooling, and mechanical operations to improve productivity. When integrated with battery storage, solar also enables electrification and lighting in off-grid farms. The upfront capital cost of solar installations has been reducing significantly, and various incentive programs have enhanced the affordability for smallholder farmers. However, adoption of solar energy in the agriculture sector still faces certain challenges. Lack of adequate financing options and initial higher costs compared to conventional fuels limit widespread deployment. Technical skills are required for installation, operation and maintenance of these systems. Seasonal variations and uncertainty of solar resources necessitate proper system sizing and integration with demand patterns. Policy support through subsidies, tax benefits and financing schemes can help address these barriers. With the declining price trends and increasing reliability of solar technologies, the potential for energy access and economic gains from solar power in rural agriculture appears promising.
Dissertations / Theses on the topic "Solar Farm Operations"
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Lourenço, Luís Felipe Normandia. "Technical cost of operating a PV installation as a STATCOM during nightime." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/3/3143/tde-23102017-104035/.
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Reactive power support by photovoltaic farms has been under discussion in several countries. This kind of operation has been proposed because the photovoltaic farm converter is an expensive asset that is often used well below its power rating. This paper proposes a methodology for estimating the reactive power support capability and the associated technical cost of operating a photovoltaic installation as a STATCOM at nighttime. The technical cost is related to the need to buy active power from the grid to compensate for power losses. A precise estimation of this cost is of interest for both photovoltaic farm owners and grid operators to be able to evaluate the economic feasibility of this kind of operation. In order to illustrate the proposed methodology, a 1.5 MWp photovoltaic farm is considered. By evaluating the losses of each component (converter, tie reactor, filter and transformer), a reactive power support capability map integrating the technical cost for each point of operation is obtained. The analysis outlines key points to operate a PV farm as a STATCOM at nighttime: the system must include a blocking diode, the capability map is asymmetric, an operation with variable DC-link voltage is desirable and can lead to savings of up to 8.9 % in comparison with operation at fixed nominal DC-link voltage.<br>O suporte de potência reativa por fazendas solares fotovoltaicas está sob discussão em diversos países. Este tipo de operação foi proposta pois o conversor das fazendas solares é um equipamento de custo elevado que é usualmente utilizado abaixo de sua potência nominal. Este trabalho propõe uma metodologia para estimar a capabilidade de suporte de reativos e o custo técnico associado na operação de uma fazenda solar fotovoltaica como um STATCOM durante o período da noite. O custo técnico desta operação está associado à necessidade da compra de potência ativa da rede elétrica para suprir as perdas de energia para compensar as perdas nos equipamentos. Uma estimativa precisa deste custo técnico é de interesse tanto dos empreendedores que possuem fazendas fotovoltaicas como dos operadores da rede elétrica para que se avalie a viabilidade econômica deste tipo de operação. Para ilustrar a metodologia proposta, uma fazenda solar fotovoltaica de 1.5 MWp é considerada. Através da avaliação das perdas em cada componente (conversor, reator, filtro e transformador), um mapa de capabilidade de suporte de potência reativa é obtido integrando os custos técnicos para cada ponto de operação. A análise realizada neste trabalho destaca os pontos chave para a operação noturna de uma fazenda solar como STATCOM: o sistema deve incluir um diodo de bloqueio, o mapa de capabilidade é assimétrico, a operação com tensão do circuito CC é desejável e resulta em economia de energia de 8.9 % em comparação com operação com a operação em tensão nominal fixa do circuito CC.
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Esteves, Ana Maria Rodrigues. "Untapping the full potential of solar farms in the UK: different approaches to land management." Master's thesis, 2016. http://hdl.handle.net/10198/14052.
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The United Kingdom (UK) Government’s strategic to meet the target of 15 per cent
renewable of primary energy from final consumption by 2020, and help the delivery of
carbon reductions, have introduced support mechanism. These support mechanism includes:
Feed-in Tariffs (FiT), Renewable Obligation (RO) and Contracts for difference (CfD). The
increase installation of utility-scale photovoltaic (PV) plants and the competition between
food and energy brought an important topic for discussion the full potential of solar farms.
Once after installation of the infrastructure around 70% of ground remains available, so this
project proposes and analyses the different approaches to land management. The land
management suggestions are agricultural use (crops, grazing and beekeeping) and
biodiversity use (hedgerows, security fencing, field margins, grassland (wildflowers meadow)
and nest boxes). A number of impacts during the solar development cycle (development
phase, construction phase and operational and maintenance phase (O&M) and the
environmental, land-use, biodiversity and socio–economic impacts, are studied and analysed
for each of the possible options for ground. The suitable use is selected by developers, so the
impacts of the different land management studies on are devices to help them in this decision.
Therefore any land management option, however expensive is their implementation or
maintenance is preferable than just cutting the vegetation, where there is no land management
use.<br>Até 2020 cerca de 15% da energia primária consumida no Reino Unido terá de ser produzida
a partir de fontes renováveis. Para ajudar a atingir essa meta, e de forma a reduzir as emissões
de carbono, foram introduzidos mecanismos de suporte. Estes mecanismos incluem: FIT, RO
e CFD. O aumento das instalações fotovoltaicas de grande escala e a competição entre
alimentos e energias trouxeram um importante tópico de discussão: o potencial dos parques
solares. Uma vez que após a instalação da estrutura cerca de 70% do terreno permanece
disponível, este relatório de estágio propõe-se a analisar as diferentes abordagens da
ocupação do solo. As diferentes ocupações do solo sugeridas são o uso agrícola (colheitas,
pastoreio e apicultura) e para o uso da biodiversidade (sebes, cercas de segurança, margens de
campo, pastagens (prado de flores silvestres) e ninhos para pássaros e morcegos). Sendo
estudados e analisados uma série de impactos durante o processo de desenvolvimento de uma
planta PV (fase de desenvolvimento, EPC, O&M) e os impactos: ambientais, estrutura do
solo, biodiversidade e socioeconómicos, relativamente a cada uma das opções possíveis de
ocupação de solo. Acabe aos planeadores a decisão da melhor ocupação do solo, sendo os
impactos dispositivos que irão ajudar nessa decisão. Conclui-se que a opção de gestão da
ocupação do solo, por mais dispendiosa que seja a sua implementação ou manutenção, é
preferível do que unicamente a remoção da vegetação onde não há uso do solo.
Books on the topic "Solar Farm Operations"
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Advanced Operation and Maintenance in Solar Plants, Wind Farms and Microgrids. MDPI, 2022. http://dx.doi.org/10.3390/books978-3-0365-4061-0.
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Rampinelli, Giuliano Arns, and Solange Machado. Manual de sistemas fotovoltaicos de geração distribuída: Teoria e prática. Brazil Publishing, 2021. http://dx.doi.org/10.31012/978-65-5861-330-5.
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This book started from a desire to contribute scientifically with the knowledge about photovoltaic solar energy – an art promoted and developed by members of School of Sun and the NTEEL Solar. It has been possible through the research groups from School of Sun Project and the Electric Energy Technological Nucleus – Solar (NTEEL Solar). The School of Sun is a project from Federal University of Santa Catarina (UFSC) which promotes scientific knowledge by the promotion of the information. The NTEEL Solar is a group which develops projects and scientific research in Photovoltaic Solar Energy and its applications. This work presents topics about the Brazilian electrical sector and its commercialization of energy, concepts about the reasoning and measurement of the solar radiation, characteristics and technologies of photovoltaic cells and modules; characteristics and technologies of inverters; monitoring and analysis of the photovoltaic systems; consumptions and generation profiles, rules and law, operation and maintenance of systems, softwares to dimension and simulate systems, and energy efficiency at buildings. It is a pleasure to share these research results from projects and scientific researches with you, dear reader. We would like to thank all the people that have been helping us with research so far, especially with this book. We are also thankful for the organizations which have been supporting us: the Federal University of Santa Catarina (UFSC), the School of Sun (UFSC), the Electric Energy Technological Nucleus – NTEEL Solar, Graduate Program in Energy and Sustainability (PPGES), the Undergraduate Program in Energy Engineering, the Coordination of Personnel Improvement of Graduate and Undergraduate Studies (CAPES), The National Council of Scientific and Technological Development (CNPq) and the Foundation of Support to Scientific Research and Innovation from Santa Catarina State (FAPESC). This book contributes scientifically to the promotion of renewable technology, reliable, competitive; towards sustainable development. We hope that you appreciate it and have a great reading.
Book chapters on the topic "Solar Farm Operations"
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Shapsough, Salsabeel, Imran Zualkernan, and Rached Dhaouadi. "Deep Learning at the Edge for Operation and Maintenance of Large-Scale Solar Farms." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69514-9_4.
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Roy, Riya, Abdullah Al Jubayer, Kazi Sadman Sakib, et al. "Policy Options While Increasing Share of Renewable Energy: Technology Choices for Peaking Power in the Context of Bangladesh." In Energiepolitik und Klimaschutz. Energy Policy and Climate Protection. Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-38215-5_4.
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AbstractIn Bangladesh, the peaking power plants that serve the peak time loads use conventional fossil fuels for power generation. These power stations remain idle for a good part of their operating life, which therefore results in a high overhead cost. Continuous integration of renewables into the grid is increasing the dependency on these, so far, feasibility of no other less-expensive options has been studied. In this context, this paper aims to analyze the financial feasibility of different alternative options. Three possible options were analyzed and the levelized cost of energy (LCOE) was compared with that of conventional peaking power plants. It was found that Battery-based storage systems are not financially feasible at this moment, while the nation’s lone hydro power plant promises financial feasibility if solar PV driven pumped hydro storage is implemented. We also report that if the nation continues to add solar PV power stations even with costly peaking power plants using traditional fuels, this hybrid option was counter intuitively found to be financially feasible.
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Xing, Liyuan, Gleb Sizov, and Odd Erik Gundersen. "Digital Transformation in Renewable Energy: Use Cases and Experiences from a Nordic Power Producer." In Digital Transformation in Norwegian Enterprises. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05276-7_5.
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AbstractThe electric power system is changing. The changes include the integration of renewable resources, such as wind farms and solar plants, making the grid smarter so that it can react and adapt to changes and increase customer engagement. These changes of the power system have radical effects, which can only be tackled if it is digitized, so digital transformation of the power system is of paramount concern.Electrical energy management systems are therefore an integral part of the digitization process. Such systems typically provide the fundamental information and computation capability to perform real-time network analyses, to provide strategies for controlling system energy flows, and to determine the most economical mix of power generation, consumption, and trades. Currently, the maturity of digitization is at different levels for various parts of the electrical power system. Machine learning has been suggested as a tool for making smart grids that can adapt to sudden changes and long-term distributional shifts and recover from errors. The interest in implementing machine learning methods into energy management systems has grown in recent years, and many companies are taking the first steps.TrønderEnergi is a Norwegian power generation company that does exactly this. It aims at increasing the value of renewable energy and at the same time reducing the cost. In the context of hydropower and wind power, there are several use cases that undergo digital transformation in TrønderEnergi. Examples of such use cases are (1) hydropower trading, (2) wind power trading, and (3) predictive maintenance on wind farms and hydro plants. These use cases as well as the digital transformation processes are introduced in detail in this chapter along with our practical experience. We discuss how machine learning helps to improve the functioning of the existing systems and optimize operations. Inspired by these use cases, we believe digital transformation will continue to make inroads in other applied areas in energy management systems and form the digital electric power ecosystem.
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Eya, Candidus U., Malachy C. Madu, Hyginus Agomuo, Nwokocha Nathan, Joseph Okwu Ogwuche, and Obinna Fidelis Ezea. "Solar-Powered and IOT-Aided Irrigation System for Small Farm-Scale Operation." In Advances in Transdisciplinary Engineering. IOS Press, 2024. https://doi.org/10.3233/atde241306.
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This article presents a Solar-powered and IOT-aided irrigation system for small farm-scale operation. The solar panel ensures a reliable and cost-efficient power source especially in remotest villages where there is no evidence of grid utility power supply. The system employs soil moisture sensors and a Wi-Fi module connected to a microcontroller for the supervision and control of the water pumping process, creating a connected irrigation solution enabled by the Internet of Things (IoT). This system instantly sends sensor data to the Blynk mobile application, enabling farmers to access and monitor the irrigation system through the app. Furthermore, the incorporation of IoT technology allows for the monitoring of flowrate, battery voltage, reservoir water volume, and soil sample water level. Inverted staircase and carrier-based modulation is used to generate firing pulses for Power MOSFETS switches. This system achieves improved water usage efficiency, streamlining farming operations and ultimately reducing electricity consumption and operational costs by harnessing solar energy. This research is applicable to both small-scale farms and, in the long run, larger agricultural lands.
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Nersesian, Roy L., and Kenneth David Strang. "Quantifying the Uncertainty of Energy Creation from Solar and Wind Farms in Different Locations." In Renewable and Alternative Energy. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1671-2.ch054.
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This paper illustrates how to assess the risk associated with solar and wind farm energy creation by identifying the critical operational factors and then developing multivariate models. The study reveals that a dependence on solar and wind could place consumers at risk of interrupted service given the state of contemporary battery technology. Large scale electricity storage is not currently available which places a contingency risk on electricity generating capacity. More so, maintaining system stability where solar and wind play a significant role in generating electricity is a growing challenge facing utility operators. Therefore, the authors demonstrate how to build a model that quantifies uncertainty by matching uncontrollable supply to uncontrollable demand where a gravity battery may be installed as a buffer. This novel approach generalizes to fossil fuel and nuclear plant operations because demand fluctuations could be managed by storing surplus energy into a gravity battery to meet high peak periods.
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"Operation and maintenance." In Solar Farms. Routledge, 2017. http://dx.doi.org/10.4324/9781315651002-6.
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"Design Support Using a Neural Network Algorithm." In Advances in Environmental Engineering and Green Technologies. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5796-0.ch009.
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This chapter consists of two sections, ‘Dynamic Operational Scheduling Algorithm for an Independent Microgrid with Renewable Energy’ and ‘Operation Prediction of a Bioethanol Solar Reforming System Using a Neural Network’. In the 1st section, a dynamic operational scheduling algorithm is developed using a neural network and a genetic algorithm to provide predictions for solar cell power output (PAS). The section shows that operating the microgrid according to the plan derived with PAS was far superior, in terms of equipment hours of operation, to that using past average weather data. Because solar radiation and outside air temperature are unstable, it is difficult to predict operation of the system with accuracy. Therefore, the 2nd section developes an operation prediction program of the FBSR (bioethanol reforming system) using a layered neural network (NN) with the error-correction learning method.
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Vargas-Bernal, Rafael. "Nanocoatings for Energy Generation and Conservation of Solar Cells." In Sustainable Approach to Protective Nanocoatings. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3136-1.ch004.
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Solar panels operating under outdoor environments during their useful life are exposed to various factors such as dust, humidity, snow, rain, thermal changes, abrasion, etc., which degrade their operation, decreasing the efficiency of converting light into voltage. Although various cleaning and/or conservation methods have been proposed and used for years to solve this problem, they offer results with low efficiency and high costs. The most effective functional method so far is the application of nanocoatings on the solar panel cover, which avoids these effects more comprehensively. This chapter presents the study of the advances that have been achieved so far through nanocomposites based on polymers and ceramic materials and proposes future trends that must be carried out to achieve their optimized design. The advances, although significant, allow us to predict the need to continue carrying out scientific and technological research to achieve results of high-added value using nanomaterials.
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Singh, Bhupinder, Saquib Ahmed, Saurabh Chandra, and Anita Singh. "Scaling Green Hydrogen Production Through AI Innovations." In Advances in Environmental Engineering and Green Technologies. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-0045-0.ch023.
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Green hydrogen, which is produced via water electrolysis powered by renewable energy, has emerged as a favored solution to decarbonize sectors such as transportation, heavy industry and power generation. But things like high production cost, inefficiency, and a difficult operation still pose challenges for its widespread adoption. The transformative potential usually sits with artificial intelligence (AI). The analytics on data through AI algorithms means far better adjusted to live demands with solar and wind inputs for instance. Less energy is wasted and production costs fall. Predictive maintenance, backed with AI-driven algorithms, enables electrolysis systems to run continuously with less downtime, thereby reducing operational risks while ensuring better scalability.
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Osborn, Donald E. "Power for the People: A Solar Odyssey." In With Stars in Their Eyes. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780190915674.003.0010.
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This chapter focuses on the pioneering contributions of Aden and Marjorie Meinel to solar power in the 1970s. During Aden's sabbatical in 1970, they developed a detailed concept of a National Solar Power Facility based on high-temperature, large-scale, solar thermal power plants utilizing advanced thin-film selective optical coatings to increase solar power plant efficiency and cost-effectiveness substantially. Their books, Power for the People and Applied Solar Energy, contributed to the momentum of optimism for solar farms in the desert Southwest at the state and federal levels. Doubts soon arose that large-scale, solar-generated electricity would become competitive with traditional fuels, however, and funding evaporated. The Meinels, once the premier advocates of solar power, began to downplay its viability. Today, with the decline in costs, there are some 900 megawatts of Meinel-type, solar energy-generation stations operating in the California and Arizona deserts with another 400 megawatts of power stations in California.
Conference papers on the topic "Solar Farm Operations"
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Hamza, Ali, Zunaib Ali, Sandra Dudley, Komal Saleem, and Nicholas Christofides. "Enhancing Solar Farm Operations: Machine Learning for Equipment Fault Detection and Classification." In 2024 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE, 2024. https://doi.org/10.1109/ecce55643.2024.10861872.
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Fieltsch, Wolfgang, and Keith Parker. "Cathodic Protection Implications of Solar Facilities on Adjacent Pipeline Infrastructure." In CONFERENCE 2023. AMPP, 2023. https://doi.org/10.5006/c2023-19090.
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Abstract As oil and gas operators ramp up their efforts to reduce their carbon footprint, more and more renewable energy projects will be constructed adjacent to pipeline infrastructure and facilities. As part of this effort, a large North American pipeline Operator, with over 150,000 km of combined liquids and gas pipelines, is installing three solar farms connected into existing pump stations as a pilot project. The Operator also has seven additional solar sites already in progress and plans to install many more in multiple phases over the next few years. These solar farms can involve the installation of hundreds to thousands of bare steel piles along with additional grounding, which could result in tens to hundreds of amps of cathodic protection current drain and compromise the corrosion protection of the Operator’s assets. Additionally, the solar farm could potentially introduce alternating current (AC) and direct current (DC) interference risks, both under normal operation and fault conditions. This paper explores the various risks, and discusses cathodic protection (CP) design, monitoring and interference mitigation strategies that can be implemented to address these risks.
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Turlej, Tymoteusz, Krzysztof Kolodziejczyk, and Jedrzej Minda. "MONITORING SOLAR FARMS USING DRONES - UTILIZED TECHNIQUES AND BENEFITS." In 24th SGEM International Multidisciplinary Scientific GeoConference 24. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/4.1/s17.19.
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The article describes commonly used imaging techniques for monitoring solar farms using drones, highlighting the advantages of each method and the benefits of precise flight path planning. Thermal imaging is discussed for its ability to detect temperature variations and identify potential issues like cell degradation and electrical failures without physical inspection. High-resolution imaging provides detailed visual inspections to identify physical damages, dirt accumulation, and shading issues, enhancing maintenance scheduling and operational efficiency. Multispectral imaging captures data across various wavelengths, aiding in performance assessment and identifying aging panels, thereby supporting better maintenance decisions. Intelligent flight path planning algorithms are also highlighted for their role in optimizing drone inspections, ensuring comprehensive data collection, and minimizing inspection time. The article also summarizes the overall benefits of using drones for solar farm monitoring, including cost-effectiveness by reducing labor and downtime, increased safety by eliminating the need for physical inspections in hazardous areas, and time efficiency due to rapid data collection. Additionally, drones provide comprehensive data collection, supporting informed decision-making and long-term planning, and contribute to environmental sustainability by optimizing the performance and efficiency of solar panels, thus reducing greenhouse gas emissions. Through these advancements, drones play a crucial role in enhancing the management and sustainability of solar farms, driving the transition towards a greener future.
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P, Kaliappan, and Selvan M. P. "Design and Performance Analysis of Utility Scale-Grid connected Hybrid Wind-Solar Plant in an Existing Operational Wind Farm in India." In 2024 IEEE 3rd International Conference on Electrical Power and Energy Systems (ICEPES). IEEE, 2024. http://dx.doi.org/10.1109/icepes60647.2024.10653465.
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Hasulyó, Gábor, and Marianna Vadászi. "Safety Challenges of Hydrogen Fuelling-Station." In 10th International Scientific Conference on Advances in Mechanical Engineering. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-0iztdf.
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We have long heard the terms sustainable future and renewable energy coming from many directions. But many people think of them as challenges for the future. However, robots, self-driving cars and smart houses around us also prove that the future is only a matter of hours. With artificial intelligence developing at a rapid pace, we need to find a safe way to cover our energy hunger. Currently, we can almost find fossil fuels or electrically powered vehicles on the roads. However, non-renewable energy sources are already being replaced by renewables day by day. However, renewable energy generated by the most used weather-dependent solar and wind farms has to be stored due to uneven energy use. The solution is not only batteries, but also hydrogen produced by water splitting. The energy storage potential of hydrogen lies in its high specific energy content, zero-emissions and can be produced in almost unlimited quantities. The domestic hydrogen strategy is also related to this, which provides guidance for phasing out diesel use as part of the transition to clean modes of transport. Reducing the carbon footprint of vehicle traffic from hydrogen use and extending hydrogen mobility to bus, train and waste transport requires the deployment of new hydrogen refueling infrastructure. However, these goals, new operating conditions and their integration into new applications that are in direct contact with consumers pose security challenges. Safety is the most important element for the smooth development and acceptance by society of new technologies. Therefore, in this article we will deal with the safety risks and dangers of hydrogen refueling stations. We describe the advantages, dangers and physical chemical properties of hydrogen. We present the system elements and operating principle of a hydrogen fueling station. Finally, we list the risk reduction measures and safety approaches that promote the safe design, operation and management of hydrogen-based technologies in Hungary.
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Tagong, K. "Integrating Solar Farm for Sustainable Oilfield Operations." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/221918-ms.
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Abstract Objective PTT Exploration and Production Public Company Limited (PTTEP) is currently the operator of S1 oilfield located in Kampheangphet province, Thailand. Previously, the electricity used in operating the S1 oilfield was primarily generated by in-plant Gas Turbine Generators (GTG) fueled by natural gas. Recognizing the importance of sustainable energy development, PTTEP initiated "Lan Sang Arun project", a 9.98 MW solar farm designed to provide green energy to support the operations of the S1 oilfield and reduce carbon emission. Method and Procedure The project involves building a 9.98 MW solar farm and the related infrastructure to supply green energy to support S1 oilfield operations. Integrating the solar farm into the S1power management system presents unique challenges. Unlike most conventional solar farms that connect to either the grid or the user, Lan Sang Arun plant is a special case because it connects to both the in-plant gas turbine generators and the public grid. The power management system required modifications to enable smooth power control between the solar farm, the GTGs, and the grid. Results, Observations, Conclusions The solar power plant was successfully constructed and started operation in July 2023. The renewable energy generated from an Sang Arun solar plant are now used to support the operation of S1 oilfield, reducing the natural gas consumption by approximately 0.5 million cubic feet per day, which lead to carbon reduction of 13,000 tCO2e per year. Novel/Additive Information Lan Sang Arun solar farm is the first project in Thailand to supply electricity from a renewable source to support petroleum operations. It contributes to both PTTEP's and Thailand's net zero greenhouse gas emission targets and serves as a showcase for oilfield electrification in Thailand.
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Bougoüin, B., M. Estécahandy, G. Clément, and N. Clavé. "Evaluate the Production Availability of an Offshore Wind Farm with a MBSA Model." In Offshore Technology Conference. OTC, 2024. http://dx.doi.org/10.4043/35498-ms.
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TotalEnergies is a major player in the energy transition. All collaborators are mindful of the issues related to a just transition raised by our activities and our own transformation to achieve net-zero emissions by 2050, together with society, and they are providing concrete answers. To achieve this, the company has itself the following objectives: Reduce greenhouse gas emissions as much as possible, in the operations for which it is directly responsible;Offset all remaining emissions, for example through CO2 capture projects;At the same time, propose an energy mix that is less and less carbon intensive with the development of renewable energies (solar, hydrogen, wind, etc.). To enhance energy mix, from 2022 onwards, new offshore wind farm projects will emerge close to consumption grids and raise new questions which the Offshore Wind industry is preparing to tackle. To this end, Reliability Availability Maintainability (RAM) studies can help to define the best Operation and Maintenance (O&M) strategy to apply i.e., the one allowing to reach the optimum between OPerating EXpenditure (OPEX) and production availability [1] for a given farm's design.
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Sai Fai Hui, Cheuk Lun Lei, Ho Fai Ho, et al. "Offshore Floating Solar Farm Development Programme." In 11th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2018). Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/cp.2018.1809.
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Nazir, Moazzam, Johan H. Enslin, and Klaehn Burkes. "Solar Farm Harmonic Analysis and Operation under DC currents." In 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems (PEDG). IEEE, 2020. http://dx.doi.org/10.1109/pedg48541.2020.9244478.
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Halwany, N., D. Pagnani, M. Ledro, O. E. Idehe, M. Marinelli, and L. Kocewiak. "Optimal sizing of battery energy storage to enable offshore wind farm black start operation." In 21st Wind & Solar Integration Workshop (WIW 2022). Institution of Engineering and Technology, 2022. http://dx.doi.org/10.1049/icp.2022.2759.
Full textReports on the topic "Solar Farm Operations"
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Opportunities and drivers for SME agribusinesses to reduce food loss in Africa and Asia. Commercial Agriculture for Smallholders and Agribusiness (CASA), 2023. http://dx.doi.org/10.1079/20240191175.
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Climate change, conflict, and the COVID-19 pandemic and its aftermath have caused a sharp increase in food insecurity globally. Reducing food loss - a decrease in the quantity and/or quality of food that takes place from production through to processing - in places where food insecurity is most severe has the potential to be a win-win for food security, climate outcomes, and for commercially driven agribusinesses. This report reviews the common drivers of food loss in sub-Saharan Africa and South Asia, which include inadequate storage, lack of cold chain, and poor post-harvest and distribution practices. It then highlights five technologies or approaches which have the potential to address food loss, and which are appropriate for agricultural small and medium-sized enterprises (agri-SMEs) operating in much of sub-Saharan Africa and South Asia, which face particular challenges (e.g. an unreliable electrical grid and fragmented value chains). Finally, the report highlights the main barriers to adoption and scale for these technologies and approaches, and identifies opportunities for governments, development partners, investors, and technology manufacturers to improve their uptake among agri-SMEs. The five technologies and approaches covered in this report are as follows: Decentralization of processing using solar dryers: The decentralization of primary food processing, in which some portion of value addition is undertaken close to the farm gate by farmers or SMEs, can have multiple benefits, including reducing food loss, lowering transport costs, and increasing rural incomes. Solar drying technology can enable this model, particularly in areas where there is a tradition of sun drying fruits and vegetables and there is a viable domestic or regional market for these products. Successful models typically involve an agribusiness off-taker who works with farmers and SME producers, providing technology and services (e.g., guaranteed off-take, training etc.) that ensure the production of high-quality produce. Hermetic storage (e.g. bags and cocoons): This maturing technology is increasingly available in local markets and represents a potentially easy-to-implement solution which could help to substantially address food loss during storage - where most loss occurs - for key staple grains. Cost and usage remain challenges for smallholders, with greater potential for small- to medium-scale traders and aggregators in rural areas with limited storage infrastructure. By creating a hypoxic environment around the produce, these solutions can achieve 100% insect mortality and reduce the growth of mould and aflatoxins. Bags are more appropriate for agri-SMEs involved in distribution, whereas cocoons (i.e. storage containers consisting of two plastic halves joined together by an airtight zip) are more useful for those storing large volumes for periods of six months or longer. Off-grid cold storage (e.g. solar-powered cold rooms): Innovative technologies and delivery mechanisms are still being tested in markets in India, Nigeria, and Kenya. Despite the high upfront cost, there are several examples of agri-SMEs and co-operatives achieving payback periods of as little as two years across a range of fruit and vegetable value chains, with returns driven by reductions in food loss and improved pricing due to better quality of the produce. Cooling as a service business models also offer the potential to reach smaller agri-SMEs and micro-entrepreneurs operating in informal rural and peri-urban value chains, but their application is limited to high-value crops that are generally out of the reach of the rural poor. Agri-ecommerce platforms: Agri-ecommerce platforms are a well-developed technology that aims to reduce food loss by improving the availability of information on market demand for farmers. Technology providers can also engage in logistics, warehousing, and quality control, taking collection of the produce from rural-based hubs, combining it at a central packing house, and delivering to urban retailers. Models of this kind have scaled more effectively in South Asia than sub-Saharan Africa, where they are constrained by poor road and logistics infrastructure. Waste-to-value approaches: Waste-to-value or circular economy approaches have the potential to reduce food loss by utilizing bruised or damaged fruits and vegetables which are unable to be sold as intended as inputs into other food products. Although the application of these approaches to the production of products such as condiments and oils is popular, they are unlikely to have a material impact on food security. However, models such as using black soldier fly larvae (BSFL) to produce animal feed (after consuming the food waste) are more promising, with a range of related technologies and business models operating in markets in both Africa and Asia. The main barriers to the success and scaling up of these technologies and approaches include a lack of knowledge and awareness of their commercial benefits, a lack of finance for manufacturers and agri-SME customers, a need for further research and development (R&D) and business model innovation (e.g. to bring down cost), and a lack of supportive policies and regulatory frameworks. Policymakers, development partners, investors, and the private sector can all play important roles in addressing these barriers.