System Macromodel of Agricultural Building with Aim to Energy Consumption Minimization

Malinovský, Vít

doi:10.7160/aol.2018.100103

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…In quantum physic, moduli represent typically energy [7]. In our approach, the mathematical instrument of wave probabilities has, therefore, much broader applications than in physics [12,13]. In system sciences, for example, we can evaluate by quantum models other system features like the ability to create alliances [8], the ability for adaptation (the quickest response to changes) [6], etc.…”

Section: Resultsmentioning

confidence: 99%

Quantum Multidimensional Models of Complex Systems

Svítek¹

2019

NNW

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The paper presents a new methodology how to extend the well-known quantum model [2] with (2N − 1) free parameters (moduli and phases) of wave probabilistic functions ψ(A i) assigned into events A i , i ∈ {1, 2,. .. , N } to N •(N +1) 2 free parameters necessary for full N-dimensional representation of complex system. Our approach generally enables to include additional functions applied on events A i , i ∈ {1, 2,. .. , N }. In the paper, we will demonstrate this mathematical instrument on additional wave probabilistic functions ψ(A k ∩ A m ∩ • • • ∩ A n) connected with macroscopic events' intersections A k ∩ A m ∩ • • • ∩ A n where k, m,. .. , n ∈ {1, 2,. .. , N }.

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Section: Resultsmentioning

confidence: 99%

Quantum Multidimensional Models of Complex Systems

Svítek¹

2019

NNW

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“…Numbers at the macromodel nods on Figure 2 represent selected temperature nods: T o = T 1 on outer surface of perimeter wall, T 2 on inner surface of perimeter wall, T 3 = T i in interior, and T 4 on heating body (Jokl, 1989). For simplicity, individual parameters are modelled by help of elements with concentrated parameters (Malinovský, 2018). Temperatures changes within the adjacent areas of stabilized state can be determined through a system of differential equations that could be -after Laplace transform -represented in matrix form:…”

Section: Sensitivity Analysis In Research Of Construction Of Agricultmentioning

confidence: 99%

Sensitivity Analysis in Research of Construction of Agricultural Buildings Focused on Poultry Farming

Malinovský

2019

AOL

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Both heat comfort and energy saving represent important parameters of agriculture buildings environment. Selecting material composition for perimeter walls (in course of both new building construction and reconstruction of existing ones) can aid to eliminate heat load of interior environment. Non-stationary processes taking place in building constructions in connection with building interaction with exterior environment and installed ventilating and heating systems are affected by a number of factors that can be well modelled by help of simulation methods and verified by experimental measuring. This work deals with analysing building construction from viewpoint of material used materials and changing their different physical parameters in order to achieve an optimal perimeter construction composition for agriculture building with regard to poultry farms.

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“…During 2014-2020, over one hundred billion Euros, accounting for about 25% of the CAP budget, was the contribution of the commission to reduce, alleviate, and adjust to climate change. The European Green Deal strategy has recently been adopted, which is designed to promote climate neutral actions and resource-efficient consumption [20,23]. Many studies were carried out to assess lowcarbon economy (LCE) within the agricultural sector.…”

Section: Introductionmentioning

confidence: 99%

GHGs Emission from the Agricultural Sector within EU-28: A Multivariate Analysis Approach

et al. 2021

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Climate mitigation and adaptation planning (CMAP) has recently been implemented across the EU-28 to reduce GHG emissions (CO2, CH4, N2O). Thus, the aim of this study was to provide an overview of GHG emissions from the agricultural sector in the EU-28 from 1990 to 2019, and cluster the EU-28 countries regarding their total GHG emissions. The results emphasize the positive impact of CMAP through a negative trend of the total GHG emissions (−2653.01 thousand tons/year, p < 0.05). Despite the positive and not significant trend of the total CO2 emissions, both CH4 and N2O exhibited a negative and significant trend. At the country scale, Italy, the United Kingdom, and the Netherlands showed the highest reduction in total GHG emissions, by −282.61thousand tons/year (p < 0.05), −266.40 thousand tons/year (p < 0.05), and −262.91 thousand tons/year (p < 0.05), respectively. The output of the multivariate analysis approach indicates changes in the pattern of GHG emissions between 1990 and 2019, where CO2 emissions decreased in the case of Poland and Czechia. The output of this study highlights the positive impact of CMAP, adopted by EU countries, in minimizing GHG emissions. Despite some fluctuations in CO2 emissions, strategies for attaining carbon neutrality in the agricultural sector, across the European Union, should be pursued.

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System Macromodel of Agricultural Building with Aim to Energy Consumption Minimization

Cited by 4 publications

References 5 publications

Quantum Multidimensional Models of Complex Systems

Quantum Multidimensional Models of Complex Systems

Sensitivity Analysis in Research of Construction of Agricultural Buildings Focused on Poultry Farming

GHGs Emission from the Agricultural Sector within EU-28: A Multivariate Analysis Approach

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