@misc{DorneanuMiahMechlerietal., author = {Dorneanu, Bogdan and Miah, Sayeef and Mechleri, Evgenia and Arellano-Garc{\´i}a, Harvey}, title = {Multiobjective optimization of distributed energy systems design through 3E (economic, environmental and exergy) analysis}, series = {Computer Aided Chemical Engineering}, volume = {Vol. 52}, journal = {Computer Aided Chemical Engineering}, issn = {1570-7946}, doi = {10.1016/B978-0-443-15274-0.50473-X}, pages = {2971 -- 2976}, abstract = {Distributed energy systems (DES) are promising alternative to conventional centralized generation, with multiple financial incentives in many parts of the world. Current approaches focus on the design optimization of a DES through economic and environmental cost minimization. However, these two criteria alone do not satisfy long-term sustainability priorities of the system. The novelty of this paper is the simultaneous investigation of economic, environmental and exergetic criteria in the modelling of DES through the two most commonly used solution methodologies for solving multi-objective optimization problems - the weighted sum and the epsilon-constraint methods. Out of the set of Pareto optimal solutions, a best-compromised solution is chosen using the fuzzy-based method. Numerical results reveal reduction of around 93\% and 89-91\% in environmental and primary exergy input, respectively.}, language = {en} } @misc{DorneanuMashamKeykhaetal., author = {Dorneanu, Bogdan and Masham, Elliot and Keykha, Mina and Mechleri, Evgenia and Cole, Rosanna and Arellano-Garc{\´i}a, Harvey}, title = {Assessment of centralised and localised ice cream supply chains using neighbourhood flow configuration models}, series = {Supply Chain Analytics}, volume = {Vol. 4}, journal = {Supply Chain Analytics}, doi = {10.1016/j.sca.2023.100043}, abstract = {Traditional food supply chains are often centralised and global in nature, entailing substantial resource consumption. However, in the face of growing demand for sustainability, this strategy faces significant challenges. Adoption of localised supply chains is deemed a more sustainable option, yet its efficacy requires verification. Supply chain analytics methodologies provide invaluable tools to guide decisions regarding inventory management, demand forecasting and distribution optimisation. These solutions not only enhance facilitate operational efficiency, but also pave the way for cost reduction, further aligning with sustainability objectives. This research introduces a novel decision-making approach anchored in mixed integer linear programming (MILP) and neighbourhood flow models defined in cellular automata to compare the environmental benefits and vulnerability to disruption of these two chain configurations. Additionally, a comprehensive cost analysis is integrated to assess the economic feasibility of incorporating layout changes that enhance supply chain sustainability. The proposed framework is applied on an ice cream supply chain across England over a one-year timeframe. The findings indicate the superiority of the localised configuration in terms of economic benefits, leading to savings exceeding \pounds 1 million, alongside important reductions in environmental impact. However, in terms of resilience, the traditional configuration remains superior in three out of the four examined scenarios.}, language = {en} }