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An integrated demand and carbon impact forecasting approach for residential precincts

conference contribution
posted on 2017-01-01, 00:00 authored by N Holyoak, M Taylor, Michalis HadjikakouMichalis Hadjikakou, S Percy
Estimation of the demand of an urban precinct, related to Electricity, Transport, Waste and Water (ETWW), is a necessary step toward the delivery of quality living environments where daily activities can be conducted in a sustainable manner. A forecasting model that concurrently links demand in all four aforementioned domains to carbonemissions can assist planning agencies, infrastructure providers, operators and private developers to deliver low-carbon urban precincts in the future. Integration of modelling methodologies delivers improved ability, accuracy and flexibility when compared to typical forecasting approaches. This chapter details the outcomes of recent research efforts on the development of an integrated ETWW demand estimation tool with detailed scenario forecasting abilities. Focusing on the residential components of the precinct, modelling outputs provide detailed estimations of household demands and resulting carbon impacts across the four domains. Impacts of non-residential land uses including high-value industry, retail, commercial and open space are also considered and reported on. Model users can estimate the carbon impact of resident population changes, various household structure types, carbon-friendly technologies and climate change for precinct locations across Australia. In addition, the tool accounts for interactions with external infrastructure such as transport networks, off-site waste disposal, water supply locations and grid-based energy supply. Forecasting abilities of the model are demonstrated through case-study applications that reflect of ‘what-if’ type scenario investigations, important to policymaking and planning for future urban development. The user is ultimately able to explore combinations to achieve a low-carbon precinct development.

History

Event

Computers in Urban Planning and Urban Management. Conference (15th : 2017 : Adelaide, S. Aust.)

Source

Planning Support Science for Smarter Urban Futures

Series

Computers in Urban Planning and Urban Management Conference

Pagination

295 - 315

Publisher

Springer International Publishing AG

Location

Adelaide, S. Aust.

Place of publication

Cham, Switzerland

Start date

2017-07-11

End date

2017-07-14

ISBN-13

978-3-319-57818-7

Language

eng

Publication classification

E Conference publication; E1.1 Full written paper - refereed

Copyright notice

2017, Springer International Publishing AG

Editor/Contributor(s)

S Geertman, A Allan, C Pettit, J Stillwell

Title of proceedings

CUPUM 2017 : Planning support systems for resilient and smart urban futures : Proceedings of the 15th International Conference on Computers in Urban Planning and Urban Management