Performance of rainwater harvesting systems under scenarios of non-potable water demand and roof area typologies using a stochastic approach

作者: Vitoria A.R. Lopes , Guilherme Fernandes Marques , Fernando Dornelles , Josue Medellin-Azuara

DOI: 10.1016/J.JCLEPRO.2017.01.132

关键词:

摘要: Abstract Urban water systems throughout the world are under recurring and increasing scarcity, given demand growth, aging infrastructure, variability uncertainty imposed by climate change. Rainwater harvesting (RWHS) represent a promising alternative to increase flexibility robustness of supply systems. Given importance tank size in establishing reliable RWHS, we propose an implicit stochastic approach assess performance aid designers. The main objective this study is simulate common non-potable roof area typologies verify how affect efficiency RWHS. To highlight usefulness model definition sizes, have also performed economic assessment. Results specific region’s might vary different climate. However, chosen rather unfavourable climate, with poor rainfall distribution along year. Under such conditions, results likely closer lower bound benefits. This indicates potential savings benefits RWHS even for scenarios. indicated be more efficient at meeting demands smaller Demand-Roof Area ratios. Furthermore, it was possible determine various scenarios, identifying minimum maximum Several scenarios were compared directly allowing establishment general per unit region interest, beyond which no significant likely. assessment positive net present values investing especially large rooftop areas small has very low risk will most short payback times.

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