http://www.cnr.it/ontology/cnr/individuo/prodotto/ID275696
D.3.2: Methodology for resource consumption forecasting (WP3) (Rapporti progetti di ricerca)
- Type
- Label
- D.3.2: Methodology for resource consumption forecasting (WP3) (Rapporti progetti di ricerca) (literal)
- Anno
- 2013-01-01T00:00:00+01:00 (literal)
- Alternative label
Christos Nakos1, Monica Salvia2, Hrvoje Maras3, Sashe Panevski4, Zoja Tarevska4, Lilla Csanaky5, Bodzsár Borbála6 (2013)
D.3.2: Methodology for resource consumption forecasting (WP3)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Christos Nakos1, Monica Salvia2, Hrvoje Maras3, Sashe Panevski4, Zoja Tarevska4, Lilla Csanaky5, Bodzsár Borbála6 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://www.re-seeties.eu/sites/default/files/reseeties_wp3_resource_consumption_methodology_final.pdf (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- 1 CRES
2 CNR-IMAA
3 REGEA
4 MACEF
5 Energiaklub
6 LP- BP 18 (literal)
- Titolo
- D.3.2: Methodology for resource consumption forecasting (WP3) (literal)
- Abstract
- One of the basic steps of the RE-SEEties project is the in depth analyses of energy use and waste production patterns (data collection) and to make forecast estimation at the level of the eight participating municipalities in the project (Work Package 3).
The main purpose of this activity is to gain insight into consumer patterns, their potential socio-economic impacts and based on this insight; give an appropriate strategic planning tool in the hand of cities involved in the project serving to find possible solution scenarios as a basis for the local strategies and action plans of Work Package 4. Furthermore, the methodology for forecasting is to be useful for other SEE cities and beyond.
The EU State of the art report investigated the methodological frames applied to different consumption patterns and needs and various city level characteristics. In line with the basic methodology of the project, not only energy, but also the waste forecasting has been studied in an integrated manner. Based on the lessons learnt from this report and based on the investigation done by the Assessment Support Group of the project, the most suitable approach has been chosen to be applied on a city level tailor made to the project needs. The selected methodology takes into account the geographical level of application (city level) and the particular characteristics of involved cities. In addition the problem of the availability of data is also deeply investigated, level of data is assessed, based on which possible solutions are built- in to the selected data collection and forecasting methods.
The above considerations, in- depth discussions and investigations resulted in the conclusion that none of the currently available tools cover the overall needs of partners to achieve sustainability targets in terms of resource efficiency (waste and energy focus), to examine multidisciplinary features, related benefits and also accompanying measures. As a result, a combination of already existing tools has been found as a solution, together with the development of one additional tool.
In case of waste data collection forecasting the LCA-IWM* prognosis model and the CO2ZW tool is to be used as the latter is more up- to- date. For energy aspect the free of charge tool of ICLEI was selected to be used as the basis of energy consumption reporting for future years. This tool is to be streamlined with a series of customized calculation spreadsheets that will enable the estimation of future energy needs as well. The energy consumption figures will be fed in to the ICLEI tool in order to calculate emissions. The tools listed above and described in more details in the present methodology will be interlinked to one another forming the RE-SEEties Integrated Toolkit. (literal)
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