Computational drying model for solar kiln with latent heat energy storage: Case studies of thermal application

Khouya, Ahmed; Draoui, Abdeslam

doi:10.1016/j.renene.2018.06.090

Cited by 53 publications

(12 citation statements)

References 18 publications

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“…The selected studies exploring the economic profits of optimal decision-making processes can be generally divided into three groups: production efficiency improvement [16], [18], [19], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [20], [54], [55], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [67], [68], [69], [70], energy cost savings [71], [72], [73], [74], [75], [76], [77], [78], [79], [80], [81], and space savings [53], [56], [82], [83], [84], [85], [86],…”

Section: ) Economic Profitsmentioning

confidence: 99%

“…Environmental footprint reduction [16], [18], [19], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [20], [54], [55], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [67], [68], [69], [70] [71], [72], [73], [74], [75], [76], [77], [78], [79], [80], [81] [53], [56], [82], [83], [84], [85], [86], [87] [99], [100], [101], [102],…”

Section: Manufacturing Waste Managementmentioning

confidence: 99%

“…To this end, researchers are recently looking at designing and implementing smart energy scheduling programs for sawmills' production processes [76], [77], [78], [79]. The energy scheduling refers to the "shift" of energy usage from normal consumption periods to off-peak-demand periods in response to variations in energy prices [89].…”

Section: B: Energy Cost Savingsmentioning

confidence: 99%

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Wood Products Manufacturing Optimization: A Survey

Hosseini

Peer

2022

IEEE Access

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The wood industry is a basic industry supplying primary materials to produce a wide range of products. The wood processing in sawmills bridges the transformation flow of raw materials to final products using machinery. Over the last decade, the global market for wood products has become highly competitive. As a result, sawmills are continually striving to improve their efficiency throughout their production process. Recent advances in automation systems and manufacturing technologies provide traditional sawmills with an unprecedented opportunity to be transformed into automated manufacturing plants to increase their efficiency. This opportunity motivates sawmill planners to adopt decision optimization technologies for enhancing their production yields. This transformation will support sawmills to remain resilient in current and future competitive markets. Although there is a vast amount of literature on decision-making in wood manufacturing in sawmills, a comprehensive overview of related approaches and findings with a special focus on optimization of decision processes is still lacking. The review firstly focuses on exploring opportunities provided by optimizing decision-making processes in the wood manufacturing along with associated roadblocks and challenges. Then, we explore methodologies adopted in the literature when aiming for the design and implementation of optimal decision-making systems. Finally, we provide references and guidelines for researchers and manufacturers interested in the topic, as well as formulate research gaps and recommendations for future research directions.INDEX TERMS autonomous production machines, automated wood processing, decision-making, decision support systems, optimization

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Section: ) Economic Profitsmentioning

confidence: 99%

Section: Manufacturing Waste Managementmentioning

confidence: 99%

Section: B: Energy Cost Savingsmentioning

confidence: 99%

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Wood Products Manufacturing Optimization: A Survey

Hosseini

Peer

2022

IEEE Access

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“…[13]Case studies with a computational approach recommend that the size and the diameter of the wood chips could be a substantial drying parameter. [14] Thus the investigation of woody biomass moisture removal also depends on the size, and it affects the economic feasibility of the dryer when operated for a large-scale setup. [15] Mathematical modeling could be another helping tool in understanding energy conversion and finding optimal values.…”

Section: Figure 6 Temperature Profiles Of the Inlet And Outlet Temperatures At The Different Days Of The Experiments (Day 4)mentioning

confidence: 99%

Design and development of natural convective solar dryer

Kumar

Szepesi²,

Szamosi³

2021

MDT

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Solar drying has emerged as a potential drying solution for agricultural products in many developing nations. The drying behavior of the product to be dried depends on many parameters of the dryer. A box-type natural convective solar dryer was developed to analyze the drying performance of Wood chips. Experiments revealed promising drying results with drying efficiency. The design of the dryer could further be enhanced by hybridization with an external heat source.

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“…Second, in the indirect solar dryers, the air is first heated in an external solar collector before entering the drying room. To improve the performance of solar dryers, it is necessary to adopt new and appropriate design procedures, which include the optimum use of materials in terms of size and appropriate types 8 . The objective of improving the design of the solar dryer is to maximize the drying efficiency by collecting the largest possible amount of solar energy at the lowest cost.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of direct solar dryer driven by photovoltaic thermal energy recovery and solar air collector for drying materials and electricity generation

2022

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The direct‐type solar dryer is characterized by very simple construction, less maintenance, cost‐effectiveness, and is easy to handle. The present study aims to enhance the performance of a direct‐type solar dryer. To achieve this, the photovoltaic (PV) panels with thermal energy recovery and solar air collector were integrated with the direct‐type solar dryer. In this study, the PV panels with thermal energy recovery and solar air collector were utilized as preheating units to raise the air temperature before entering the direct solar dryer. Moreover, the PV panels were utilized to drive the air blower. In this study, three incorporated models are suggested to study the performance of the solar dryer integrated with PV panels with thermal energy recovery and solar air collector. The model of each component was validated by the previously recorded empirical data. The results confirmed that the dual utilization of the PV panels with thermal energy recovery and solar air collector as a preheating unit raised the air temperature entering the direct solar dryer by the rate varying between 29°C and 42°C within the period 9:00 a.m.–4:00 p.m. Also, the moisture content of banana samples inside the direct solar dryer reduced from the initial value of 72% (wb) to the value of 33.4% (wb) within 7 h (9:00 a.m.–4:00 p.m.). During this operating period, moisture removal from the banana samples varied between 110 and 400 g/h.

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Computational drying model for solar kiln with latent heat energy storage: Case studies of thermal application

Cited by 53 publications

References 18 publications

Wood Products Manufacturing Optimization: A Survey

Wood Products Manufacturing Optimization: A Survey

Design and development of natural convective solar dryer

Performance analysis of direct solar dryer driven by photovoltaic thermal energy recovery and solar air collector for drying materials and electricity generation

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