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Smart Cities, Volume 7, Issue 2

April 2024 - 12 articles

Cover Story: This paper introduces a multi-objective, mixed-integer linear programming model for urban-industrial symbiosis that integrates anaerobic digestion, cogeneration, photovoltaic, and hydrogen production technologies. Using the Bayesian Best–Worst method, it evaluates sustainability aspects, optimizing industrial plant locations based on economic, environmental, and social parameters. The model includes sensitivity analysis to assess the impact of variable changes on outcomes and explores Pareto fronts to identify optimal trade-offs among conflicting objectives. Demonstrated via a case study in Italy, the model enhances energy and hydrogen production, reduces carbon footprints, and supports job creation. View this paper

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Articles (12)

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Feature Paper
Article

8 Citations

4,016 Views

23 Pages

Enhancing Waste-to-Energy and Hydrogen Production through Urban–Industrial Symbiosis: A Multi-Objective Optimisation Model Incorporating a Bayesian Best-Worst Method

Alessandro Neri,
Maria Angela Butturi,
Francesco Lolli and
Rita Gamberini

Smart Cities2024, 7(2), 735-757;https://doi.org/10.3390/smartcities7020030

28 February 2024

A surging demand for sustainable energy and the urgency to lower greenhouse gas emissions is driving industrial systems towards more eco-friendly and cost-effective models. Biogas from agricultural and municipal organic waste is gaining momentum as a...

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Review

10 Citations

7,397 Views

23 Pages

Contextualizing the Smart City in Africa: Balancing Human-Centered and Techno-Centric Perspectives for Smart Urban Performance

Nessrine Moumen,
Hassan Radoine,
Kh Md Nahiduzzaman and
Hassane Jarar Oulidi

Smart Cities2024, 7(2), 712-734;https://doi.org/10.3390/smartcities7020029

27 February 2024

The continuous growth of urban populations and the complexities of their current management in Africa have driven local governments to explore new technologies to optimize their urban and territorial performance. These governments and related stakeho...

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