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Engineering >> 2018, Volume 4, Issue 2 doi: 10.1016/j.eng.2018.03.014

A Geodesign Method of Human-Energy-Water Interactive Systems for Urban Infrastructure Design: 10KM2 Near-Zero District Project in Shanghai

a Eco-Urban Lab, School of City and Regional Planning & School of Architecture, College of Design, Georgia Institute of Technology, Atlanta, GA 30332-0155, USA
b Eco-Urban Lab, College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
c Disney Research China, Shanghai 200021, China
d Graduate School of Environmental Studies, Seoul National University, Seoul 08826, Korea

Received: 2017-11-01 Revised: 2017-12-01 Accepted: 2018-01-03 Available online: 2018-04-07

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Abstract

The grand challenges of climate change demand a new paradigm of urban design that takes the performance of urban systems into account, such as energy and water efficiency. Traditional urban design methods focus on the form-making process and lack performance dimensions. Geodesign is an emerging approach that emphasizes the links between systems thinking, digital technology, and geographic context. This paper presents the research results of the first phase of a larger research collaboration and proposes an extended geodesign method for a district-scale urban design to integrate systems of renewable energy production, energy consumption, and storm water management, as well as a measurement of human experiences in cities. The method incorporates geographic information system (GIS), parametric modeling techniques, and multidisciplinary design optimization (MDO) tools that enable collaborative design decision-making. The method is tested and refined in a test case with the objective of designing a near-zero-energy urban district. Our final method has three characteristics.①Integrated geodesign and parametric design: It uses a parametric design approach to generate focal-scale district prototypes by means of a custom procedural algorithm, and applies geodesign to evaluate the performances of design proposals. ② A focus on design flow: It elaborates how to define problems, what information is selected, and what criteria are used in making design decisions.③Multi-objective optimization: The test case produces indicators from performance modeling and derives principles through a multi-objective computational experiment to inform how the design can be improved. This paper concludes with issues and next steps in modeling urban design and infrastructure systems based on MDO tools.

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