Solar drying Technologies: A review and future research directions with a focus on agroindustrial applications in medium and large scale

Ortiz-Rodríguez, N.M.; Condorí, Miguel Ángel; Durán, Gonzalo José; Garcı́a-Valladares, O.

doi:10.1016/j.applthermaleng.2022.118993

Cited by 30 publications

(7 citation statements)

References 179 publications

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“…They proved that these collectors reduce production costs by reducing the use of fossil fuels. Ortiz-Rodríguez et al [41] emphasized that the food industry accounts for 30% of global energy consumption, so it is necessary to use sustainable energy sources in this industry. They proposed the use of solar systems for food drying or dehydration to reduce CO 2 emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

Selection of a Green Contractor for the Implementation of a Solar Power Plant Project

Stojanović

2024

Symmetry

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This study is focused on the problem of contractor selection for the implementation of a solar power plant project to produce electricity from sustainable sources for the needs of the company Voćar. The goal of this research is to select a construction contractor to install a solar power plant using sustainability criteria. With this power plant, the company Voćar can reduce its electricity costs and contribute to the production of sustainable energy. A total of three main sustainability criteria were used, in which six auxiliary criteria were symmetrically distributed. With these criteria, six suppliers were analyzed, and expert decision making was carried out with the application of the fuzzy–rough approach. To define the weights of the criteria, the SWARA method was utilized in this study. Based on the findings of this method, the most important criteria are the ecological criteria. Using the CRADIS method, the contractors were ranked, and the results show that contractor C6 has the best results and is the first choice for implementing this project. Choosing the best supplier increases the sustainability of project implementation and the realization of the expected effects.

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Section: Literature Reviewmentioning

confidence: 99%

Selection of a Green Contractor for the Implementation of a Solar Power Plant Project

Stojanović

2024

Symmetry

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“…Improvement of existing algorithms lead to more advanced and more productive drying processes [81,82].…”

Section: Energy Efficiency Issues Of Dryingmentioning

confidence: 99%

Review of Energy-Related Machine Learning Applications in Drying Processes

Đaković,

Kljajić,

Milivojević

et al. 2023

Energies

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Drying processes are among the most energy-intensive industrial processes. There is a need for development of the efficient methods needed for estimating, measuring, and reducing energy use. Different machine learning algorithms might provide some of the answers to these issues in a faster and less costly way, without the need for time-consuming and expensive experiments done at different scales of the dryers. The aim of this paper was to provide a comprehensive overview of machine learning applications for addressing energy-related challenges by exploration of different energy types and energy reduction opportunities. Also, the analysis of the applied algorithms, their specific applications and a critical evaluation of the obtained results are provided. The paper is based on the necessity of the improvements in energy use needed for drying related on the existing data. The overview of the ways for such achievements, and a general classification of machine learning algorithm are the background of the paper. The methods used are the machine learning techniques employed in different energy-related issues for drying processes. The paper focuses on the applications of artificial neural networks and other machine learning algorithms and models for different energy-related issues, including different energy types applications, challenges associated with energy consumption, and opportunities for energy reduction. Not only the applied algorithms, but also their specific applications, and the statistical analysis of the obtained results are also overviewed. Finally, a critical evaluation of the findings highlighting the potentials of machine learning algorithms in addressing energy-related challenges (such as estimation of energy consumption, opportunities for energy reduction, and use of different energy sources) is provided. The presented analysis underscored the effectiveness of machine learning applications for these purposes.

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“…Solar ice making could be a good alternative to battery storage and using biogas to stabilise cooling capacity [71]. On-site solar-powered processing like milling [70], drying [72], extraction (pressing) [73], fermentation [74], prepacking, sterilisation, cooking, preservation (sealing), etc. [75], can reduce need for cold storage capacity and that in general and create added value.…”

Section: Harvesting Storage and Processingmentioning

confidence: 99%

A Mini-Review of Current Activities and Future Trends in Agrivoltaics

Klokov¹,

Loktionov²,

Loktionov³

et al. 2023

Preprint

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Agrivoltaics (Agri-PV, AV) – the joint use of land for the production of agricultural products and energy – has recently been rapidly gaining popularity, as it can significantly increase income per unit of land area. In a broad sense, AV systems can include converters of not only solar, but also energy from any other local renewable source, including bioenergy. Current approach to AV represents an evolutionary development of agroecology and integrated PV power supply to the grid. That results in nearly doubled income per unit area. While AV could provide a basis for revolution in large-scale unmanned precision agriculture and smart farming which is impossible without on-site power supply, chemical fertilisation and pesticides reduction, and yield processing on-site. These approaches could change the logistics and the added value production chain in agriculture dramatically, and so, reduce its carbon footprint. Utilisation of decommissioned solar panels in AV could make the technology twice cheaper and postpone the need for bulk PV recycling. Unlike the mainstream discourse on the topic, this review feature is in focusing on the possibilities for AV to be stronger integrated into agriculture that could also help in relevant legal collisions (considered as neither rather than both components) resolution.

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Solar drying Technologies: A review and future research directions with a focus on agroindustrial applications in medium and large scale

Cited by 30 publications

References 179 publications

Selection of a Green Contractor for the Implementation of a Solar Power Plant Project

Selection of a Green Contractor for the Implementation of a Solar Power Plant Project

Review of Energy-Related Machine Learning Applications in Drying Processes

A Mini-Review of Current Activities and Future Trends in Agrivoltaics

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