Decision Support for Community and Infrastructure Planning through Coupled Analysis and Optimization

Project Team

M. Lepech, F. Flager, R. Best

Overview

Coupled analytical models encompassing resource generation, transportation, and consumption, paired with multidisciplinary design optimization can balance objectives and constraints of planning stakeholders. Decision support tools created from optimization outputs would exponentially increase the solutions examined and the ability of a design team to meet all goals.

Project Background

Research Motivation

Community planning and infrastructure design operate sequentially with little cross-discipline integration. This results in underestimation of distributed infrastructure operating cost and overestimation of carbon reductions by up to 40%. There is no framework for balancing diverse stakeholder objectives or exploring coupled infrastructure solutions.

Industry Example

A coupled model will be constructed for wastewater treatment and energy supply based on work done at CIFE and ReNUWIt at Stanford. An optimization study will be undertaken for a Bay Area development, and the optimized result compared to the currently proposed design. Uncertainty will be ascertained through Monte Carlo analysis.

Research Objectives

(1) Generate Coupled Wastewater/Energy Analytical Model and Formalize Design Problem

(2) Demonstrate Value of Decision Support Using Case Study

(3) Validation and Uncertainty Analysis

Original Research Proposal

Lepech, Flager, Best Proposal

Last modified Wed, 4 Nov, 2015 at 11:09