Optimization of a residential district with special consideration on energy and water reliability

Pietro Elia Campana, Steven Jige Quan, Federico Ignacio Robbio, Anders Lundblad, Yang Zhang, Tao Ma, Björn Karlsson and Jinyue Yan

Applied Energy, 2017, vol. 194, issue C, 764 pages

Abstract: Many cities around the world have reached a critical situation when it comes to energy and water supply, threatening the urban sustainable development. From an engineering and architecture perspective it is mandatory to design cities taking into account energy and water issues to achieve high living and sustainability standards. The aim of this paper is to develop an optimization model for the planning of residential urban districts with special consideration of renewables and water harvesting integration. The optimization model is multi-objective which uses a genetic algorithm to minimize the system life cycle costs, and maximize renewables and water harvesting reliability through dynamic simulations. The developed model can be used for spatial optimization design of new urban districts. It can also be employed for analyzing the performances of existing urban districts under an energy-water-economic viewpoint.

Keywords: Optimization; Genetic algorithm; Renewable energy; Hybrid power systems; Water harvesting; Residential urban districts (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:194:y:2017:i:c:p:751-764

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DOI: 10.1016/j.apenergy.2016.10.005

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