Application of Odour Predictions to Spatial Planning, the Case of Agricultural Biogas

The agricultural biogas i.e. a renewable energy source, which uses waste from food industries as an input material is discussed here to demonstrate the possibility of incorporating odour impact issues into spatial planning procedures in Poland. Since there is no reliable methodology available domest...

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Main Authors: A. Oniszk-Poplawska, A. Kulig
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2014-09-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/5299
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spelling doaj-e3e8043f458349baa33654e4b531e6532021-02-20T21:21:54ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162014-09-014010.3303/CET1440047Application of Odour Predictions to Spatial Planning, the Case of Agricultural BiogasA. Oniszk-PoplawskaA. KuligThe agricultural biogas i.e. a renewable energy source, which uses waste from food industries as an input material is discussed here to demonstrate the possibility of incorporating odour impact issues into spatial planning procedures in Poland. Since there is no reliable methodology available domestically, the possibility of adapting procedures and tools applied in Germany has been examined. The availability of data, the development of scenario assumptions for the modelling of protection zones, as well as the initial indication of a final methodology, which could be employed to integrate the odour impact issues into the spatial planning and investment procedures are presented herein. The aim of this study is to establish procedures for the development of biogas plants using food industry waste in Poland, by combining the odour imission prognoses with spatial planning procedures. The German methodology and software (an open source Austal2000G) is used to model the protection zones around such projects, supported with local meteorological and topographical data.https://www.cetjournal.it/index.php/cet/article/view/5299
collection DOAJ
language English
format Article
sources DOAJ
author A. Oniszk-Poplawska
A. Kulig
spellingShingle A. Oniszk-Poplawska
A. Kulig
Application of Odour Predictions to Spatial Planning, the Case of Agricultural Biogas
Chemical Engineering Transactions
author_facet A. Oniszk-Poplawska
A. Kulig
author_sort A. Oniszk-Poplawska
title Application of Odour Predictions to Spatial Planning, the Case of Agricultural Biogas
title_short Application of Odour Predictions to Spatial Planning, the Case of Agricultural Biogas
title_full Application of Odour Predictions to Spatial Planning, the Case of Agricultural Biogas
title_fullStr Application of Odour Predictions to Spatial Planning, the Case of Agricultural Biogas
title_full_unstemmed Application of Odour Predictions to Spatial Planning, the Case of Agricultural Biogas
title_sort application of odour predictions to spatial planning, the case of agricultural biogas
publisher AIDIC Servizi S.r.l.
series Chemical Engineering Transactions
issn 2283-9216
publishDate 2014-09-01
description The agricultural biogas i.e. a renewable energy source, which uses waste from food industries as an input material is discussed here to demonstrate the possibility of incorporating odour impact issues into spatial planning procedures in Poland. Since there is no reliable methodology available domestically, the possibility of adapting procedures and tools applied in Germany has been examined. The availability of data, the development of scenario assumptions for the modelling of protection zones, as well as the initial indication of a final methodology, which could be employed to integrate the odour impact issues into the spatial planning and investment procedures are presented herein. The aim of this study is to establish procedures for the development of biogas plants using food industry waste in Poland, by combining the odour imission prognoses with spatial planning procedures. The German methodology and software (an open source Austal2000G) is used to model the protection zones around such projects, supported with local meteorological and topographical data.
url https://www.cetjournal.it/index.php/cet/article/view/5299
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