Design and Performance Evaluation of a Hydronic Type Compost Heat Exchanger

Mwape, Mwewa Chikonkolo; Muchilwa, Isaiah Etemo; Siagi, Zachary O.; Yamba, Francis

doi:10.1080/23311916.2020.1846253

Cited by 3 publications

(2 citation statements)

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“…Since energy plays a major part in food drying, its efficiency utilization through site/region-specific thermal models is key. This will further help in the design and implementation of cheaper renewable energy sources such as hybrid systems e.g., solar/waste-to-energy [66,67]. It has been identified in this study that, apart from CHO (R 2 = 0.98), TA (R 2 = 0.85), CF b (R 2 = 0.66), density (R 2 = 0.98) and thermal diffusivity (R 2 = 0.48) that linearly associated positively with temperature and increased by 47.06%, 48.47%, 23.38%, 19.15% and 5.51% from the initial cassava mash to gari, respectively, other variables associated negatively.…”

Section: Multivariate Interaction Analysis Of All Parametersmentioning

confidence: 99%

Determination and Modeling of Proximate and Thermal Properties of De-Watered Cassava Mash (Manihot esculenta Crantz) and Gari (Gelatinized cassava mash) Traditionally Processed (In Situ) in Togo

Mwape,

Parmar,

Roman

et al. 2023

Energies

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The roasting process of Gari (Gelatinized cassava mash), a shelf-stable cassava product, is energy-intensive. Due to a lack of information on thermal characteristics and scarcity/rising energy costs, heat and mass transfer calculations are essential to optimizing the traditional gari procedure. The objective of this study was to determine the proximate, density, and thermal properties of traditionally processed de-watered cassava mash and gari at initial and final processing temperatures and moisture contents (MCwb). The density and thermal properties were determined using proximate composition-based predictive empirical models. The cassava mash had thermal conductivity, density, specific heat capacity, and diffusivity of 0.34 to 0.35 W m−1 °C−1, 1207.72 to 1223.09 kg m−3, 2849.95 to 2883.17 J kg−1 °C, and 9.62 × 10−8 to 9.76 × 10−8 m2 s−1, respectively, at fermentation temperatures and MCwb of 34.82 to 35.89 °C and 47.81 to 49%, respectively. The thermal conductivity, density, specific heat capacity and diffusivity of gari, ranged from 0.27 to 0.31 W m−1 °C−1, 1490.07 to 1511.11 kg m−3, 1827.71 to 1882.61 J kg−1 °C and 9.64 × 10−8 to 1.15 × 10−8 m2 s−1, respectively. Correlation of all the parameters was achieved, and the regression models developed showed good correlation to the published models developed based on measuring techniques.

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Section: Multivariate Interaction Analysis Of All Parametersmentioning

confidence: 99%

Determination and Modeling of Proximate and Thermal Properties of De-Watered Cassava Mash (Manihot esculenta Crantz) and Gari (Gelatinized cassava mash) Traditionally Processed (In Situ) in Togo

Mwape,

Parmar,

Roman

et al. 2023

Energies

Self Cite

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“…Also, mathematical modelling of the composting process is complex due to the large number of parameters to be considered for the model development (Hamelers, 2001;Rongfei, et al, 2017). A small glimpse on the literature indicates that many models were developed with different perspectives on heat recovery from compost piles (Mason I. G., 2006;Deipser, 2014;Nwanze & Clark, 2019;Mwape, et al, 2020). The main objectives by these studies were to understand the variations in parameters such as temperature, moisture content and oxygen distribution with time variations and spatial variations (Mason I. G., 2006;Lukyanova, 2012;Rongfei, et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Spatial Mathematical Modeling of Static Compost Piles With Heat Recovery

2022

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Composting experiments with heat recovery reveal spatial non-uniformity in parameters such as temperature, oxygen concentration and substrate degradation. In order to recover heat from static compost piles via integrated heat exchanger there is the need to investigate the temperature distribution for placing the heat exchangers and the interaction between heat recovery, substrate degradation and oxygen concentration to ensure quality of composting process. This study introduces a spatial model to predict the variation in controlling parameters such as temperature, oxygen concentration, substrate degradation and airflow patterns in static compost piles with heat recovery using Finite element method (FEM) in COMSOL Multiphysics ® Version 5.3. The developed two-dimensional axisymmetric numerical model considers the compaction effects and is validated to real case pilot-scale compost pile experiments with passive aeration. Strong matching with the real case experiment was achieved. The spatial model demonstrated that the compaction effect is extremely important for realistic modeling because it affects airflow, temperature distribution, oxygen consumption and substrate degradation in a compost pile. Heat recovery did not disrupt the composting process. Case studies revealed strong influence of convective heat loss through the edges and a 10 % improvement of heat recovery rate with ground insulation. The simulation indicates that an optimized placing of heat recovery pipes could increase the average heat extraction by 10-40 %.

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Optimization and safety analysis for CO oxidative coupling reactor with co-current thermal management

Chi,

Liu,

et al. 2024

Chemical Engineering Science

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Design and Performance Evaluation of a Hydronic Type Compost Heat Exchanger

Cited by 3 publications

References 50 publications

Determination and Modeling of Proximate and Thermal Properties of De-Watered Cassava Mash (Manihot esculenta Crantz) and Gari (Gelatinized cassava mash) Traditionally Processed (In Situ) in Togo

Determination and Modeling of Proximate and Thermal Properties of De-Watered Cassava Mash (Manihot esculenta Crantz) and Gari (Gelatinized cassava mash) Traditionally Processed (In Situ) in Togo

Spatial Mathematical Modeling of Static Compost Piles With Heat Recovery

Optimization and safety analysis for CO oxidative coupling reactor with co-current thermal management

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