STM: A software tool for predicting daily temperature in stored animal slurry
2023 (English)In: SoftwareX, E-ISSN 2352-7110, Vol. 22, article id 101354Article in journal (Refereed) Published
Abstract [en]
Animal slurry (liquid manure) is a significant source of air pollution. Because the biological and chemical processes that drive emission are sensitive to temperature, there is a need for simple tools that can be used to predict the temperature of stored animal slurry for both emissions inventories and research. In this contribution we describe a heat transfer model and an open-source software implementation that addresses these limitations. The model is a simple mechanistic representation of the slurry-environment system, and the software includes a default parameter set developed from a combination of theory and fitting to measurements made at three concrete tanks in Sweden, and evaluated using measurements from two additional tanks. This contribution describes the model and software program and presents examples. © 2023 The Author(s)
Place, publisher, year, edition, pages
Elsevier B.V. , 2023. Vol. 22, article id 101354
Keywords [en]
Animal manure, Heat transfer model, Manure management, Storage lagoon, Storage tank, Animals, Fertilizers, Heat transfer, Manures, Open systems, Tanks (containers), Animal slurry, Daily temperatures, Liquid manure, Simple++, Software-tools, Storage lagoons, Open source software
National Category
Agricultural Science
Identifiers
URN: urn:nbn:se:ri:diva-64318DOI: 10.1016/j.softx.2023.101354Scopus ID: 2-s2.0-85150181448OAI: oai:DiVA.org:ri-64318DiVA, id: diva2:1755041
Note
Funding details: 34009-19-1491; Funding details: 2019-02212; Funding details: Pennsylvania State University, PSU; Funding text 1: This study was part of the FACCE ERA-GAS project “Manure management for methane mitigation – Improved inventory modeling to support policy actions” (M4Models), with funding from the Danish Ministry of Food and Agriculture (contract no. 34009-19-1491) and Swedish FORMAS (contract no. 2019-02212). Felipe Montes (The Pennsylvania State University) and Søren Petersen (Aarhus University) provided helpful feedback on this manuscript and the STM model.; Funding text 2: This study was part of the FACCE ERA-GAS project “Manure management for methane mitigation – Improved inventory modeling to support policy actions” (M4Models), with funding from the Danish Ministry of Food and Agriculture (contract no. 34009-19-1491 ) and Swedish FORMAS (contract no. 2019-02212 ). Felipe Montes (The Pennsylvania State University) and Søren Petersen (Aarhus University) provided helpful feedback on this manuscript and the STM model.
2023-05-052023-05-052024-05-20Bibliographically approved