A design framework for considering spatial equity in sustainable urban drainage infrastructure

Sustainable Cities and Society, Год журнала: 2022, Номер 85, С. 103960 - 103960

Опубликована: Май 21, 2022

The design of urban drainage systems has traditionally aimed for cost and service objectives without considering broader socio-economic implications decisions. This can result in designs with unequal distributions infrastructure services among communities. In this paper, we propose a approach multi-criteria which combines traditional objectives, such as reliability cost-effectiveness, social goals like reducing inequality the spatial distribution benefits. A multi-dimensional search algorithm is linked to an rainfall-runoff simulation model identify portfolios efficient (Pareto-optimal) spatially equitable developments. measure difference flood damage between different subregions also considered decision-making aide along other criteria. An illustrative case study shows how framework help planners make trade-offs, example equity when selecting future interventions water systems. results imply that optimisation models lead inequity equality green assets does not necessarily entail fair neighbourhoods.

Язык: Английский

---

Grid-tied solar and biomass hybridization for multi-family houses in Sweden: An optimal rule-based control framework through machine learning approach

Renewable Energy, Год журнала: 2023, Номер 218, С. 119230 - 119230

Опубликована: Авг. 31, 2023

This article proposes a cutting-edge smart building design that contributes to sustainable development objectives by fostering clean energy, facilitating cities and communities, promoting responsible consumption production. The main goal is create clever rule-based framework will boost the penetration of renewable energy in local grids, reduce size components and, consequently, investment costs, promote shift towards more environmentally friendly future. system driven photovoltaic thermal panels, novel biomass heater scheme, scaled-down heat pump supply entire demands multi-family houses. grey wolf optimizer cascade forward neural network model achieve most optimal condition. According results, suggested outperforms conventional Swedish system, with an cost 121.2 €/MWh low emission index 11.2 kg/MWh. results show knowing how price changes affect pump's operational mode crucial ensuring system's economic viability. In comparison condition, optimized increased efficiency 3.8% while decreasing overall (2.1 €/h), (4.4 kg/MWh), costs (29.9 $/MWh). further demonstrate meets vast majority year's heating needs, but as electricity prices rise December, becomes principal provider. May month lowest average monthly cost, December July stand out expensive months year due dramatic increase demand. Eventually, runs without external sources through designed control generates excess for around half year.

Язык: Английский

---

Optimization of low-impact development facilities in urban areas using slime mould algorithm

Sustainable Cities and Society, Год журнала: 2023, Номер 93, С. 104508 - 104508

Опубликована: Март 5, 2023

Язык: Английский

---

Integrating Sponge City Concept and Neural Network into Land Suitability Assessment: Evidence from a Satellite Town of Shenzhen Metropolitan Area

Land, Год журнала: 2021, Номер 10(8), С. 872 - 872

Опубликована: Авг. 19, 2021

Land suitability assessment is fundamental in space control planning and land development because of its effects on use urban layout. Rainstorms waterlogging have become one the most common natural disasters coastal areas China. As a result, concept an ecological sponge city was incorporated into construction cities future. Taking Shenzhen–Shantou special cooperation zone (SSCZ), we constructed storm flooding model based SCS flow generation GIS to explore spatial distribution characteristics risk rainstorm 100-year lasting 1 h. Combined with population economic indicators, radial basis function (RBF) network utilized evaluate environmental risk, vulnerability disaster-bearing bodies, rain–flood resilience cities. The self-organizing feature mapping (SOFM) used for cluster analysis. Spatial differences were found study area. A suitable area (73.59% entire area) located downtown. artificial spongy body highest vulnerable (3.25%) needs be strengthened. (3.3%) along banks river, relatively high low flood engineering. Ecological (19.85%) serves as buffer. factors waterlogging, ecology, population, economy could integrated comprehensively by applying neural methods construction.

Язык: Английский

---

Comprehensive Optimization Framework for Low Impact Development Facility Layout Design with Cost–Benefit Analysis: A Case Study in Shenzhen City, China

ACS ES&T Water, Год журнала: 2021, Номер 2(1), С. 63 - 74

Опубликована: Дек. 16, 2021

Sustainable storm water management benefits a lot from low impact development (LID). The early-stage design of LID layout is critical for practices. However, the technology gaps still exist an accurate, flexible, and systematic solution optimal design. Literature works usually only consider size number facilities in given scenario or even totally empirical, which lacks integration facility selection, connection, with multiple objectives together. Therefore, this study proposed generic comprehensive framework cost–benefit analysis. Powered by computer coding scheme hybrid optimization algorithm, was successfully verified Sponge City Shenzhen, China. results genetic algorithm proved stability novel layout. best worst scenarios are selected Pareto front through entropy weight method. variable cost method revealed sensitivity preference decision maker. High construction costs environmental effectiveness can be scientifically balanced procedure expected to widely applied practices around world.

Язык: Английский

---