Вісники та науково-технічні збірники, журнали

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    Modelling GHG emissions in the mineral products industry in Poland: An uncertainty analysis
    (Publishing House of Lviv Polytechnic National University, 2015) Charkovska, N. V.; Bun, R. A.; Nahorski, Z.; Horabik, J.
    An improvement of methods for the inventory of greenhouse gas (GHG) emissions is necessary to ensure effective control of commitments to emission reduction. In this article the mathematical models of greenhouse gas emission processes from cement, lime, and glass production at the level of individual plants in Poland have been analysed. Results of the spatial analysis are presented in the form of a geo-spatial database of emissions, and visualised as layers on digital maps. Uncertainty of the inventory results is calculated using the Monte Carlo approach.Вдосконалення методiв iнвентаризацiї емiсiй парникових газiв є необхiдним для забезпечення ефективного контролю зобов’язань щодо скорочення емiсiй. У цiй статтi подано математичнi моделi процесiв емiсiї парникових газiв вiд виробництва цементу, вапна та скла на рiвнi окремих пiдприємств Польщi. Результати просторового аналiзу наведено у виглядi геопросторової бази даних емiсiй i вiзуалiзовано у виглядi шарiв цифрових карт. Невизначенiсть результатiв iнвентаризацiї оцiнено з використанням методу Монте-Карло.
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    Geoinformation technology for spatial inventory of greenhouse gas emissions: electricity and heat generation in Poland
    (Національний університет "Львівська політехніка", 2013) Topylko, P.; Lesiv, M.; Bun, R.; Nahorski, Z.; Horabik, J.
    One of the main features of energy production in Poland is high dependence on consumption of coal and lignite, which results in significant emissions of greenhouse gases (GHGs) to the atmosphere. This article presents the geoinformation technology and spatial analysis of GHG emissions from fossil fuel burned by power and combined power and heat plants. These plants are considered as emission sources of a point type. As input data, official regional statistics about consumption of fossil fuel for electricity and heat production are used. In addition, main characteristics of power and power/ heat plants are collected from official web-sites. Based on the developed model, numerical experiments have been carried out for the territory of Poland. The results of spatial modeling are presented in the form of thematic maps.