Compositional Analysis of Biowaste from Study Sites in Greek Municipalities

Malamis, Dimitris; Μουστάκας, Κωνσταντίνος; Bourka, A.; Valta, Katerina; Papadaskalopoulou, Christina; Panaretou, V.; Skiadi, O.; Sotiropoulos, A.

doi:10.1007/s12649-015-9406-z

Cited by 27 publications

(15 citation statements)

References 14 publications

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“…One of the most frequently used direct method is the Waste Compositional Analysis (WCA).WCA is commonly used to determine the composition of waste streams collected by local authorities [15]. An example of this method is the characterisation of the FW generated by households, taking data from the collecting bins by those who will execute the quantification [16].…”

Section: Biowaste Estimation Methodsmentioning

confidence: 99%

Methodology Proposed for Estimating Biowaste Generation Using Municipal Rurality Indexes

Baquero

Cifrián

Pérez-Gandarillas

et al. 2021

Waste Biomass Valor

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The separated collection and management of biowaste (BW) must be implemented in next years in the European countries. In order to define a proper BW strategy, it is necessary to estimate the generation at a municipal level, since depending on the amount to be treated, the strategy may notably vary. The aim of this study is to develop a methodology to estimate BW generation at municipal level taking into account the characteristics of the region, the Municipal Solid Waste management applied, and different socio-economic variables that define the level of rurality of a municipality. A model to estimate the BW generation for each type of municipality has been developed using Multiple Linear Regression Analysis. As input data, results from a Waste Compositional Analysis executed by the regional government to samples collected on 38 municipalities and data related to influential socio-economic variables have been used. Significant influence of socio-economic variables on BW generation is observed for the rural municipalities. The evolution of these characteristics, as well as the greater awareness of society with food waste, have change the consumption patterns. Therefore, it is not recommended to use static ratios, but models that allow including socio-economic changes in the estimation of waste generation. Graphic Abstract

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Section: Biowaste Estimation Methodsmentioning

confidence: 99%

Methodology Proposed for Estimating Biowaste Generation Using Municipal Rurality Indexes

Baquero

Cifrián

Pérez-Gandarillas

et al. 2021

Waste Biomass Valor

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“…The incoming substrate was manually sorted by the NTUA research staff based on Malamis et al (2016) methodologies regarding the determination of the material purity level, while the pure separated lignocellulosic biomass was further pre-treated in order to reduce its mass and volume and preserve its lignocellulosic characteristics using the drum drying method (commercialized biomass dryer) as this has been described by Sotiropoulos et al (2016), before it could be further utilized for the production of biobased ethanol.…”

Section: Methodology Appliedmentioning

confidence: 99%

Results on the implementation of an innovative dehydrated biological waste to ethanol management scheme

Sotiropoulos

Xydis

Kontogianni

et al. 2018

Int. J. Environ. Sci. Technol.

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“…There exist plenty of examples to classify food waste according to its food sector, e.g. [21,22]. This type of classification is typically based on codes, e.g.…”

Section: Review On Methods To Classify Food Wastementioning

confidence: 99%

A Methodology for Sustainable Management of Food Waste

García-García

Woolley

Rahimifard

et al. 2016

Waste Biomass Valor

154

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As much as one-third of the food intentionally grown for human consumption is never consumed and is therefore wasted, with significant environmental, social and economic ramifications. An increasing number of publications in this area currently consider different aspects of this critical issue, and generally focus on proactive approaches to reduce food waste, or reactive solutions for more efficient waste management. In this context, this paper takes a holistic approach with the aim of achieving a better understanding of the different types of food waste, and using this knowledge to support informed decisions for more sustainable management of food waste. With this aim, existing food waste categorizations are reviewed and their usefulness are analysed. A systematic methodology to identify types of food waste through a nine-stage categorization is used in conjunction with a version of the waste hierarchy applied to food products. For each type of food waste characterized, a set of waste management alternatives are suggested in order to minimize environmental impacts and maximize social and economic benefits. This decision-support process is demonstrated for two case studies from the UK food manufacturing sector. As a result, types of food waste which could be managed in a more sustainable manner are identified and recommendations are given. The applicability of the categorisation process for industrial food waste management is discussed.

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Compositional Analysis of Biowaste from Study Sites in Greek Municipalities

Cited by 27 publications

References 14 publications

Methodology Proposed for Estimating Biowaste Generation Using Municipal Rurality Indexes

Methodology Proposed for Estimating Biowaste Generation Using Municipal Rurality Indexes

Results on the implementation of an innovative dehydrated biological waste to ethanol management scheme

A Methodology for Sustainable Management of Food Waste

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