Numerical analysis of the heat exchange model with the ground on the example of a complex of industrial halls

Mahari, 2020, A review on valorization of oyster mushroom and waste generated in the mushroom cultivation industry, J. Hazard. Mater., 400 Shahbandeh, 2023 Ikeda, 2021, Development of Enokitake (Flammulina velutipes) mushroom cultivation technology using spent mushroom substrate anaerobic digestion residue, Environ. Technol. Innov., 24, 10.1016/j.eti.2021.102046 Long, 2004, Visite le Musée du Champignon, Field Mycol., 5, 139, 10.1016/S1468-1641(10)60278-2 Rathore, 2019, Medicinal importance of mushroom mycelium: Mechanisms and applications, J. Funct. Foods, 56, 182, 10.1016/j.jff.2019.03.016 Andlar, 2018, Lignocellulose degradation: An overview offungi and fungal enzymes involved inlignocellulose degradation, Eng. Life Sci., 18, 768, 10.1002/elsc.201800039 Shih, 2007, Effects of culture conditions on the mycelial growth and bioactive metabolite production in submerged culture of Cordyceps militaris, Biochem. Eng. J., 33, 193, 10.1016/j.bej.2006.10.019 Manjunathan, 2011, Optimization of mycelia growth and antimicrobial activity of new edible mushroom, Lentinus tuberregium (Fr.). Tamil Nadu, India Int. J. PharmTech Res., 3, 497 Kurbanoglu, 2004, Submerged production of edible mushroom Agaricus bisporus mycelium in ram horn hydrolysate, Ind. Crop. Prod., 19, 225, 10.1016/j.indcrop.2003.10.004 Mustafa, 2017, Combinations of fungal and milling pretreatments for enhancing rice straw biogas production during solid-state anaerobic digestion, Bioresour. Technol., 224, 174, 10.1016/j.biortech.2016.11.028 Owaid, 2017, Applicable properties of the bio-fertilizer spent mushroom substrate in organic systems as a byproduct from the cultivation of Pleurotus spp, Inf. Process. Agric., 4, 78 N. Sakson, Pieczarka uprawa intensywna. PWRiL, 2013, Warszawa. Z. Lou, S. Zhou, S. Ali Baig, B. Hu, X. Xu, Composition variability of spent mushroom substrates during continuous cultivation, composting process and their effects on mineral nitrogen transformation in soil. Geoderma, 307 (2017), 30-37. Meng, 2018, Composted biogas residue and spent mushroom substrate as a growth medium for tomato and pepper seedlings, J. Environ. Manage., 216, 62, 10.1016/j.jenvman.2017.09.056 J. Radoń, W. Bieda, J. Lendelova, S. Pogran, Computational model of heat exchange between dairy cow and bedding. Computers and Electronics in Agriculture, 107 (2014) 29-37. G. Nawalany, W. Bieda, J. Radoń, P. Herbut, Experimental study on development of thermal conditions in ground beneath a greenhouses. Energy Build., 69, (2014), 103-111. Sokołowski, 2022, Numerical Analysis of thermal impact between the cooling facility and the ground, Energies, 15, 9338, 10.3390/en15249338 S. Martin, I. Canas, A comparison between underground wine Cellary and aboveground storage for the aging of Spanish wines. Trans. ASABE 49 (5) (2006) 1471-1478. J. Radoń, W. Bieda, J. Lendelova., S. Pogran, Computational model of heat exchange between dairy cow and bedding. Comput. Electron. Agric., 107(2014), 29-37. Janssen, 2002 Deru, 2001 Yunshan, 2022, Experimental and numerical investigation on heat transfer characteristics of vertical ground heat exchangers in karst areas, Energ. Build., 275 Bae, 2022, Feasibility study of a novel hybrid energy system combining photovoltaic-thermal and modular ground heat exchanger, J. Build. Eng., 61 Cui, 2022, Advances in ground heat exchangers for space heating and cooling: Review and perspectives, Energy and Built, Environ. P. Cui, H. Yang, Z. Fang, Numerical analysis and experimental validation of heat transfer in ground heat exchangers in alternative operation modes. Energy Build., 40(6) (2008) 1060-1066. G. Florides, S. Kalogirou, Ground heat exchangers – a review of systems, models and applications. Renew. Energy, 32 (2007) 2461-2478. DECC, DUKES − Domestic Energy Consumption in the UK 2011, DECC, Editor 2011: London. SDC, Stock Take Delivering Improvements in Existing Housing. Sustainable Development Commission., 2006: London. NEF. Save money by adding insulation to your home. 2011, http://www.nef.org.uk/energysaving/insulation.htm. Harris, 1997, Heat losses from suspended timber floors: Laboratory experiments measuring heat losses through flooring utilizing a variety of insulation and ventilation rates to determine appropriate strategies for retrofitting insulation, Build. Res. Inform., 25, 226, 10.1080/096132197370354 Nawalany, 2017, Influence of Selected Factors on Heat Exchange with the Ground in a Greenhouse, Trans. ASABE, 60, 479, 10.13031/trans.11969 González, 2022, Ground characterization of building energy models, Energ. Build., 254 Abergel, 2019 Ashrae, 2014, Guideline 14-2014: Measurement of Energy and Demand Savings ASHRAE, Atlanta I. Committee, et al., International Performance Measurement and Verification Protocol: Concepts and Options for Determining Energy and Water Savings, Volume i, Tech. rep., National Renewable Energy Lab., Golden, CO (US) (2001). L. Webster, J. Bradford, D. Sartor, J. Shonder, E. Atkin, S. Dunnivant, D. Frank, E. Franconi, D. Jump, S. Schiller, et al., M&v Guidelines: Measurement and Verification for Performance-Based Contracts, Tech. Rep., Version 4.0, Technical Report (2015). Ohlsson, 2021, Benchmarking the practice of validation and uncertainty analysis of building energy models, Renew. Sustain. Energy Rev., 142, 10.1016/j.rser.2021.110842 Vuelvas, 2018, Limiting gaming opportunities on incentive-based demand response programs, Appl. Energy, 225, 668, 10.1016/j.apenergy.2018.05.050 Harish, 2016, Reduced order modeling and parameter identification of a building energy system model through an optimization routine, Appl. Energy, 162, 1010, 10.1016/j.apenergy.2015.10.137 Ramos Ruiz, 2019, Model predictive control optimization via genetic algorithm using a detailed building energy model, Energies, 12, 10.3390/en12010034 Pachano, 2021, Multi-step building energy model calibration process based on measured data, Energy Build., 252, 10.1016/j.enbuild.2021.111380 Chaudhary, 2016, Evaluation of “autotune” calibration against manual calibration of building energy models, Appl. Energy, 182, 115, 10.1016/j.apenergy.2016.08.073 Guideline, 2014 Manfren, 2013, Calibration and uncertainty analysis for computer models - a meta-model based approach for integrated building energy simulation, Appl. Energy, 103, 627, 10.1016/j.apenergy.2012.10.031 Hou, 2021, Review on building energy model calibration by bayesian inference, Renew. Sustain. Energy Rev., 143, 10.1016/j.rser.2021.110930 Ramos Ruiz, 2016, Genetic algorithm for building partition calibration, Appl. Energy, 168, 691, 10.1016/j.apenergy.2016.01.075 Fumo, 2021, A multiple regression approach for calibration of residential building energy models, J. Build. Eng., 43 Neto, 2008, Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption, Energy Build., 40, 2169, 10.1016/j.enbuild.2008.06.013 Tardioli, 2020, A methodology for calibration of building energy models at district scale using clustering and surrogate techniques, Energy Build., 226, 10.1016/j.enbuild.2020.110309 A. Holm, H. Künzel, J. Radoń, Uncertainty approaches for hygrothermal building simulations – Drying of AAC in hot and humid climates, in: Conference Proceedings: „Performance of Exterior Partitions of Whole Buildings VIII: Integration of Building Partitions,” December 2–7, 2001, Clearwater Beach, Florida, www.ashrae.org. Gdula, 1984 Ruiz, 2017, Validation of calibrated energy models: Common errors, Energies, 10, 10.3390/en10101587 González, 2019, Uncertainy’s indices assessment for calibrated energy models, Energies, 12, 2096, 10.3390/en12112096 Sadłowska-Sałęga, 2020, Feasibility and limitation of calculative determination of hygrothermal conditions in historical buildings: Case study of St. Martin church in Wiśniowa, Build. Environ., 186, 10.1016/j.buildenv.2020.107361 Camdali, 2015, Numerical modeling of a ground source heat pump: The Bolu case, Renew. Energy, 83, 352, 10.1016/j.renene.2015.04.030 Gallero, 2015, Numerical and experimental validation of a new hybrid model for vertical ground heat exchangers, Energ. Conver. Manage., 103, 511, 10.1016/j.enconman.2015.07.012 Alexiades, 1993 Ziskind, 2015, Advances in thermal energy storage systems, 307 Harald Pointner, Alvaro de Gracia, Julian Vogel, N.H.S. Tay, Ming Liu, Maike Johnson, Luisa F. Cabeza, Computational efficiency in numerical modeling of high temperature latent heat storage: Comparison of selected software tools based on experimental data, Appl. Energy, 161 (2016) 337-348. Voller, 1991, Eral source-based method for solidification phase change, Numer. Heat Transf. Part B Fund., 19, 175, 10.1080/10407799108944962 Voller, 1990, Fast implicit finite-difference method for the analysis of phase change problems, Numer. Heat Transf., 17, 155, 10.1080/10407799008961737 Patankar, 1980 Ferziger, 2001 Building Energy Software Tools. https://www.buildingenergysoftwaretools.com/. Hawila, 2022, Plus energy building: Operational definition and assessment, Energy Build., 265, 10.1016/j.enbuild.2022.112069 Andrade, 2019, Vibration of composite beams with deformable shear connection: Mathematical modelling and numerical solution using general-purpose software for two-point boundary value problems, J. Sound Vib., 463, 10.1016/j.jsv.2019.114913 Ai, 2014, Potential use of reduced-scale models in CFD simulations to save numerical resources: Theoretical analysis and case study of flow around an isolated building, J. Wind Eng. Ind. Aerodyn., 134, 25, 10.1016/j.jweia.2014.08.009 Wąs, 2022, Thermal comfort-case study in a lightweight passive house, Energies, 15, 4687, 10.3390/en15134687 Ramos, 2021, Influence of track foundation on the performance of ballast and concrete slab tracks under cyclic loading: Physical modelling and numerical model calibration, Constr. Build. Mater., 277, 10.1016/j.conbuildmat.2021.122245 Sokołowski, 2020, Analysis of energy exchange with the ground in a two-chamber vegetable cold store, assuming different lengths of technological break, with the use of a numerical calculation method—A case study, Energies, 13, 4970, 10.3390/en13184970 Mohammadi, 2018, Application of dynamic model to predict some inside environment variables in a semi-solar greenhouse, Inf. Process. Agric., 5, 279 Nawalany, 2021, Numerical analysis of the effect of ground dampness on heat transfer between greenhouse and ground, Sustainability, 13, 3084, 10.3390/su13063084 G. Nawalany, P. Sokołowski, M. Michalik, Experimental study of thermal and humidity conditions in a historic wooden building in Southern Poland. Buildings, 10 (7), 118. P. Sokolowski, G. Nawalany, Analysis of energy exchange with the ground in a two-chamber vegetable cold store, assuming different lengths of technological break, with the use of a numerical calculation method-A case study. Energies, 13 (18), 4970.