Isabel Garcia-Herrero

Environmental challenges of the chlor-alkali production: Seeking answers from a life cycle approach

Life Cycle Assessment (LCA) has been used to assess the environmental sustainability of the chlor-alkali production in Europe. The three current technologies applied nowadays are mercury, diaphragm, and membrane cell technology. Despite, having achieved higher energy efficiencies since the introduction of membrane technology, energy consumption is still one of the most important issues in this sector. An emerging technology namely oxygen-depolarised cathodes (ODC) is suggested as a promising approach for reducing the electrolysis energy demand. However, its requirement of pure oxygen and the lack of production of hydrogen, which could otherwise be valorised, are controversial features for greener chlorine production. The aim of this work is to evaluate and compare the environmental profiles of the current and emerging technologies for chlorine production and to identify the main hot spots of the process. Salt mining, brine preparation, electrolysis technology and products treatment are included inside the system boundaries. Twelve environmental impact categories grouped into natural resources usage and environmental burdens are assessed from cradle to gate and further normalised and weighted. Furthermore, hydrogen valorisation, current density and allocation procedure are subjected to sensitivity analysis. Results show that the electrolysis stage is the main contributor to the environmental impacts due to energy consumption, causing 99.5-72% of these impacts. Mercury is the less environmentally sustainable technology, closely followed by diaphragm. This difference becomes bigger after normalisation, owing to hazardous waste generated by mercury technique. Conversely, best results are obtained for ODC instead of membrane scenario, although the reduction in energy requirements is lesser than expected (7%).

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.

Connecting wastes to resources for clean technologies in the chlor-alkali industry: a life cycle approach

Our current economic model is experiencing increasing demand and increasing pressure on resource utilisation, as valuable materials are lost as waste. Moving towards a circular economy and supporting efficient resource utilisation is essential for protecting the environment. The chlor-alkali industry is one of the largest consumers of salt, and efforts have been made to reduce its electricity use. Furthermore, KCl mining wastes have received increasing attention because they can be transformed into value-added resources. This work studies the influence of using different salt sources on the environmental sustainability of the chlor-alkali industry to identify further improvement opportunities. Rock salt, solar salt, KCl waste salt, vacuum salt and solution-mined salt were studied. Membrane cells in both bipolar and monopolar configurations were studied and compared to the emergent oxygen-depolarised cathode (ODC) technology. Life cycle assessment was applied to estimate the cradle-to-gate environmental impacts. The natural resource (NR) requirements and the environmental burdens (EBs) to the air and water environments were assessed. The total NR and EB requirements were reduced by 20% when vacuum salt was replaced with KCl. Moreover, the environmental impacts estimated for the monopolar membrane using KCl were comparable to those generated for the bipolar membrane using VS. The difference between the monopolar and bipolar scenarios (17%) was slightly higher than that between the bipolar and ODC technologies (12%). This work demonstrates the importance of studying every life cycle stage in a chemical process and the environmental benefit of applying a circular economy, even in energy intensive industries such as the chlor-alkali industry.

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.

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.