Jara Laso

Waste management under a life cycle approach as a tool for a circular economy in the canned anchovy industry

The anchovy canning industry has high importance in the Cantabria Region (North Spain) from economic, social and touristic points of view. The Cantabrian canned anchovy is world-renowned owing to its handmade and traditional manufacture. The canning process generates huge amounts of several food wastes, whose suitable management can contribute to benefits for both the environment and the economy, closing the loop of the product life cycle. Life cycle assessment methodology was used in this work to assess the environmental performance of two waste management alternatives: Head and spine valorisation to produce fishmeal and fish oil; and anchovy meat valorisation to produce anchovy paste. Fuel oil production has been a hotspot of the valorisation of heads and spines, so several improvements should be applied. With respect to anchovy meat valorisation, the production of polypropylene and glass for packaging was the least environmentally friendly aspect of the process. Furthermore, the environmental characterisation of anchovy waste valorisation was compared with incineration and landfilling alternatives. In both cases, the valorisation management options were the best owing to the avoided burdens associated with the processes. Therefore, it is possible to contribute to the circular economy in the Cantabrian canned anchovy industry.

Incorporating linear programing and life cycle thinking into environmental sustainability decision-making: a case study on anchovy canning industry

Life cycle assessment (LCA) is a powerful tool to support environmental informed decisions among product and process alternatives. LCA results reflect the process stage contributions to several environmental impacts, which should be made mutually comparable to help in the decision-making process. Aggregated environmental indexes enable the translation of this set of metrics into a one final score, by defining the attached weights to impacts. Weighting values reflect the corresponding relevance assigned to each environmental impact. Current weighing schemes are based on pre-articulation of preferences, without considering the specific features of the system under study. This paper presents a methodology that combines LCA methodology and linear programming optimisation to determine the environmental improvement actions that conduct to a more sustainable production. LCA was applied using the environmental sustainability assessment methodology to obtain two main indexes: natural resources (NR) and environmental burdens (EB). Normalised indexes were optimised to determine the optimal joint of weighting factors that lead to an optimised global Environmental Sustainability Index. The proposed methodology was applied to a food sector, in particular, to the anchovy canning industry in Cantabria Region (Northern Spain). By maximising the objective function composed of NR and EB variables, it is possible to find the optimal joint of weights that identify the best environmental sustainable options. This study proves that LCA can be applied in combination with linear programing tools as a part of the decision-making process in the development of more sustainable processes and products.

LCA of greywater management within a water circular economy restorative thinking framework

Greywater reuse is an attractive option for the sustainable management of water under water scarcity circumstances, within a water circular economy restorative thinking framework. Its successful deployment relies on the availability of low cost and environmentally friendly technologies. The life cycle assessment (LCA) approach provides the appropriate methodological tool for the evaluation of alternative treatments based on environmental decision criteria and, therefore, it is highly useful during the process conceptual design. This methodology should be employed in the early design phase to select those technologies with lower environmental impact. This work reports the comparative LCA of three scenarios for greywater reuse: photocatalysis, photovoltaic solar-driven photocatalysis and membrane biological reactor, in order to help the selection of the most environmentally friendly technology. The study has been focused on the removal of the surfactant sodium dodecylbenzenesulfonate, which is used in the formulation of detergents and personal care products and, thus, widely present in greywater. LCA was applied using the Environmental Sustainability Assessment methodology to obtain two main environmental indicators in order to simplify the decision making process: natural resources and environmental burdens. Energy consumption is the main contributor to both indicators owing to the high energy consumption of the light source for the photocatalytic greywater treatment. In order to reduce its environmental burdens, the most desirable scenario would be the use of solar light for the photocatalytic transformation. However, while the technological challenge of direct use of solar light is approached, the environmental suitability of the photovoltaic solar energy driven photocatalysis technology to greywater reuse has been demonstrated, as it involves the smallest environmental impact among the three studied alternatives.

Life cycle modelling of a handicraft sector: the anchovy canning industry in Cantabria (Northern Spain)

Abstract This paper presents a methodology which combines the life cycle assessment (LCA) and the mathematical programming and optimization. LCA was applied using the environmental sustainability assessment (ESA) methodology to obtain two main indicators: natural resources (NR) and environmental burdens (EB) that are further minimized. The optimization of these variables will allow to obtain the best environment performance of the system, since the methodology includes specific, local and global features of the process under study. This procedure was applied to a handicraft sector, in particular, to the anchovy canning industry in Cantabria (Northern Spain).

Combined application of Life Cycle Assessment and linear programming to evaluate food waste-to-food strategies: Seeking for answers in the nexus approach

The great concern regarding food loss (FL) has been studied previously, but in an isolated way, disregarding interdependencies with other areas. This paper aims to go a step further by proposing a new procedure to assess different waste management alternatives based on the nexus approach by means of an integrated Water-Energy-Food-Climate Nexus Index (WEFCNI). The environmental profile of the waste management techniques is determined using Life Cycle Assessment (LCA) which, in combination with Linear Programming (LP), explores the optimal aggregation of weighting factors that lead to an aggregated nexus index. The management of residues from the anchovy canning industry in Cantabria (Spain) has been used as a case study, considering the three current applied alternatives: (i) valorisation of FL as animal feed in aquaculture (food waste-to-food approach), (ii) incineration of FL with energy recovery, and (iii) landfilling with biogas recovery. The last two considered the use of energy recovered to produce a new aquaculture product (food waste-to-energy-to-food scenarios). The results indicate that incineration is the best performing scenario when the nutritional energy provided by the valorisation alternative is not high enough and the valorisation technology presents the highest water consumption. Therefore, a minimisation in the consumption of natural resources is suggested in order to improve the application of circular economy within the sector. The use of the nexus index as an environmental management tool is extendable to any food system with the aim of facilitating the decision-making process in the development of more sustainable products.

Introducing the Green Protein Footprint method as an understandable measure of the environmental cost of anchovy consumption

In a global framework of growing concern for food security and environmental protection, the selection of food products with higher protein content and lower environmental impact is a challenge. To assess the reliability of different strategies along the food supply chain, a measure of food cost through the environmental impact-protein content binomial is necessary. This study proposes a standardized method to calculate the Green Protein Footprint (GPF) index, a method that assesses both the environmental impact of a food product and its protein content provided to consumers. Life Cycle Assessment (LCA) was used to calculate the environmental impact of the selected food products, and a Life Cycle Protein Assessment (LCPA) was performed by accounting for the protein content along the supply chain. Although the GPF can be applied to all food chain products, this paper is focused on European anchovy-based products for indirect human consumption (fishmeal) and for direct human consumption (fresh, salted and canned anchovies). Moreover, the circular economy concept was applied considering the valorization of the anchovy residues generated during the canning process. These residues were used to produce fishmeal, which was employed in bass aquaculture. Hence, humans are finally consuming fish protein from the residues, closing the loop of the original product life cycle. More elaborated, multi-ingredient food products (salted and canned anchovy products), presented higher GPF values due to higher environmental impacts. Furthermore, the increase of food loss throughout their life cycle caused a decrease in the protein content. Regarding salted and canned products, the packaging was the main hotspot. The influence of the packaging was evaluated using the GPF, reaffirming that plastic was the best alternative. These results highlighted the importance of improving packaging materials in food products.

Addressing decision-making in the process industry using life cycle approach coupled to Linear Programming: A case study on anchovy canning industry in Cantabria Region (Northern Spain)

Abstract The main objective of Life cycle assessment (LCA) studies is to support decision-making in environmental sustainable production and consumption. Nevertheless, stake-holders are often forced to choose among several environmental profiles, comprised by a wide range of environmental categories for each alternative. The variety of metrics may hinder the decision-making process, especially when there is no scenario scoring better than the rest in every metric simultaneously. Aggregated indexes can simplified this task by defining attached weights to impacts. Moreover, environmental decisions are usually subjected to economy costs, since production processes are embedded into the product system value. This work proposes a methodology that combines LCA and life cycle cost (LCC) to linear programming in order to define a composite eco-efficiency index. Our model is subjected to optimization to determine a valid range of weighting factors within which the solutions are potentially optimal. This approach is applied to the anchovy canning sector and allows the translation into economic terms of the environmental damage caused when a given alternative is chosen.

Aiding eco-labelling process and its implementation: environmental impact assessment methodology to define product category rules for canned anchovies

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