Design, Control and First Monitoring Data of a Large Scale Solar Plant at the Meat Factory Berger, Austria

Cotrado, Mariela; Dalibard, Antoine; Söll, Robert; Pietruschka, Dirk

doi:10.1016/j.egypro.2014.02.129

Cited by 20 publications

(9 citation statements)

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“…This model considers technical information of the installed solar system and it includes the entire flat plate collector area of 1067.5 m² in one field as described in [1] and shown in Fig. 1.…”

Section: Control Optimization Of the Flat Plate Collector Field Instamentioning

confidence: 99%

“…On the load side the temperature oscillation amplitude reaches 20°C. Considering first results of the Matlab model, the following improvements are carried out: (1) Temperature sensor placement: The compensation time of the existing field was determined to be around 7min. One of the first measures to enhance the controllability of the system is to decrease the dead time by moving the temperature sensor TC08 closer to the field.…”

Section: Control Optimization Of the Flat Plate Collector Field Instamentioning

confidence: 99%

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Control Optimization through Simulations of Large Scale Solar Plants for Industrial Heat Applications

Hassine¹,

Sehgelmeble.²,

Söll

et al. 2015

Energy Procedia

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The European FP7 Project InSun; which started in April 2012; aims to demonstrate the reliability and efficiency of three different collector technologies suitable for heat production employed in diverse industrial processes in different climatic regions. These collectors are installed and will be monitored in detail over a period of almost two years. One of the plants is installed at Fleischwaren Berger GmbH located in Sieghartskirchen, Austria, a company which produces meat and sausage products. The second solar plant is installed at the company Laterizi Gambettola SRL (SOLTIGUA) located in Gambettola, Italy, which produces highly insulating hollow brick blocks for external walls of buildings. The control optimization and commissioning of the two solar plants has been carried out as a part of the InSun project. Considering measurements and results of simulations developed with dynamic models, potential improvements of the low-level control algorithms are presented for the two solar plants.

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Section: Control Optimization Of the Flat Plate Collector Field Instamentioning

confidence: 99%

Section: Control Optimization Of the Flat Plate Collector Field Instamentioning

confidence: 99%

Control Optimization through Simulations of Large Scale Solar Plants for Industrial Heat Applications

Hassine¹,

Sehgelmeble.²,

Söll

et al. 2015

Energy Procedia

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“…Many studies have been presented for the use of solar heat for various subsectors of food industry such as brewery (Eiholzer, Olsen, Hoffmann, Sturm, & Wellig, 2017; Lauterbach, Schmitt, & Vajen, 2014; Mauthner, Hubmann, Brunner, & Fink, 2014; Mueller & Greenough, 2016; Müller, 2016; Müller, Brandmayr, & Zörner, 2014; Muster‐Slawitsch, Brunner, & Fluch, 2014), beverages (Alizadeh, Mortezapour, Akhavan, & Balvardi, 2019), dairy products (Nandi & De, 2007; Atkins, Walmsley, & Morrison, 2010; Quijera, Alriols, & Labidi, 2011; Wayua, Okoth, & Wangoh, 2013; Müller et al, 2014; Bühler, Van Nguyen, Elmegaard, & Modi, 2016; Kizilkan, Kabul, & Dincer, 2016; Mueller & Greenough, 2016; Müller, 2016; Allouhi et al, 2017; Möllenkamp, Beikircher, Rittmann‐Frank, & Häberle, 2018; Biencinto, Bayón, González, Christodoulaki, & Rojas, 2021), fish products (Oosthuizen, Goosen, & Hess, 2020; Quijera, Alriols, & Labidi, 2014), meat products (Ben Hassine, Cotrado, Pietruschka, & Söll, 2015; Cotrado, Dalibard, Söll, & Pietruschka, 2014; Liu, Chang, Lin, & Chung, 2015; Pag, Schmitt, & Vajen, 2016; Pietruschka, Hassine, Cotrado, Fedrizzi, & Cozzini, 2016), pasta (Buscemi, Panno, Ciulla, Beccali, & Lo Brano, 2018), vegetable products (Silva, Berenguel, et al, 2014; Silva, Cabrera, et al, 2014; Sturm et al, 2015), and winery (Cardemil et al, 2015; Murray, Quiñones, Cortés, Escobar, & Cardemil, 2016). Also, there are few studies on solar process heat for food industry in general (El Ghazzani et al, 2017; Ramos, Ramirez, & Beltran, 2013; Schmitt, 2016; Silva, Berenguel, et al, 2014; Silva, Cabrera, et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Solar process heat for sustainable production of concentrated peach puree

Güneş

Güngör

Güneş

2021

J Food Process Engineering

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The food industry is one of the most suitable sectors for solar process heat applications. Concentrating solar power (CSP) systems generate steam using mirrors or lenses to concentrate a large area of sunlight onto a receiver. In this study, how a CSP system connected hybrid to the boiler system can be utilized to produce more sustainable peach puree concentrate (PPC) have been examined. The amount of steam required for PPC production was calculated using the measurements rendered in a real fruit juice concentrate plant and the data obtained from them. A parabolic trough‐type CSP system of 1 MWth was designed, which is placed in the area of the plant, and it was determined that the steam quantity obtained during the production period is able to meet how much of the current consumption. Also, it has been shown how much CO2eq emission reduction will be achieved by using CSP. Practical Applications Concentrated fruit juice production is one of the thermal energy intense food processes. Therefore, utilization of renewable energy sources for process heat is very important. We designed a CSP system in this study with using production data from a real fruit juice factory. This CSP system is naturally applicable to both fruit juice and all food industry using steam at similar temperatures and pressures. Fossil fuels are one of the main responsible for global warming. For this reason, the use of solar thermal systems is promising to ensure sustainability in food production and reduce the environmental impacts of the product.

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“…Most of the industrial heat is required at low to medium temperatures, with temperature below 250 °C [9] in processes such as sterilization, drying, hydrolysis, distillation, washing, cleaning, evaporation and polymerization [10]. Several applications for the integration of solar heat in industrial processes have been developed: applications of a solar drying system for agro-food industries [11,12] such as pasta [13,14] and tomatoes [15]; for the manufacturing of clay bricks and tiles [16]; and for the meat [17] and dairy industries [18]. In the IEA SHC Task 49 [8], two types of integration are identified: supply level and process level [8].…”

Section: Introductionmentioning

confidence: 99%

Solar Thermal Technologies for Low-Carbon Industrial Processes: Dynamic Modelling, Techno-Economic Analysis and Environmental Impact

Bolognese

Crema

Pratticò

et al. 2020

The First World Energies Forum—Current and Future Energy Issues

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Solar thermal technologies are already available on the market, and they are robust and relatively cheap. Unfortunately, solar heat is seldom used in the industrial processes, and the main obstacle of solar heat diffusion is often the lack of adequate predictive modelling of solar plant integration that identifies its energy potential, economic feasibility, and environmental benefits. In this paper, we aim to investigate and evaluate the possibility of supplying solar heat to the pasta-drying process located in the northeast of the Italian Alps (“Felicetti”). The methodology proposed is structured with the combination of several software, namely, PVGIS®, Matlab®, Dymola®. The methodology developed is tested, considering solar thermal energy as the primary source, in different geographical contexts.

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Design, Control and First Monitoring Data of a Large Scale Solar Plant at the Meat Factory Berger, Austria

Cited by 20 publications

References 0 publications

Control Optimization through Simulations of Large Scale Solar Plants for Industrial Heat Applications

Control Optimization through Simulations of Large Scale Solar Plants for Industrial Heat Applications

Solar process heat for sustainable production of concentrated peach puree

Solar Thermal Technologies for Low-Carbon Industrial Processes: Dynamic Modelling, Techno-Economic Analysis and Environmental Impact

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