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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

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Development and validation of a building design waste reduction model.

C Llatas¹, M Osmani²

¹Departamento de Construcciones Arquitectónicas I, Universidad de Sevilla, ETS de Arquitectura, IUACC, Avda. Reina Mercedes 2, 41012 Sevilla, Spain.

Waste Management (New York, N.Y.)

|June 14, 2016

Summary

This study introduces a Building Design Waste Reduction Strategies (Waste ReSt) model to quantify how design choices impact construction waste. The model helps predict and reduce waste at the source in building projects.

Keywords:

Building design waste reduction model Design waste reduction assessment Design waste reduction level quantification Design waste reduction strategies

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Area of Science:

Construction Management
Sustainable Building Design
Waste Reduction Strategies

Background:

Construction waste reduction is a global priority.
Current quantitative methods linking design to waste reduction are lacking.
Designing out waste at the source is crucial for effective waste management.

Purpose of the Study:

To address the knowledge gap in quantitative waste reduction methods.
To design and validate a Building Design Waste Reduction Strategies (Waste ReSt) model.
To investigate the relationship between design variables and onsite waste reduction.

Main Methods:

Development of the Waste ReSt model.
Validation through a case study of 20 residential buildings in Spain.
Analysis of design waste causes and application of low-waste design strategies.

Main Results:

Quantification of potential source reduction levels for alternative low-waste building elements.
Demonstration of the Waste ReSt model's utility in simulating design-out strategies.
Identification of correlations between design processes and waste generation.

Conclusions:

The Waste ReSt model provides a tool for simulating and predicting waste reduction.
Stakeholders can use the model to understand design-waste correlations.
Implementation of design practices informed by the model can lead to low-waste buildings.