Control and optimization tools for the incorporation of innovative technologies in Net Zero energy settlement design

S. Shubin, S. Isaac, G. Rabinowitz

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper describes the development of a set of control and optimization tools that support the implementation of highly innovative energy technologies in the design of Net Zero Energy settlements. The incorporation of novel technologies in building and settlement design involves unique challenges, such as frequent design changes, the risk of cost overruns and the need to synchronize the work of different stakeholders who did not previously collaborate. Three tools were developed and implemented to cope with those challenges. A cost control tool tracks the technology's initial costs during the design phase, so that any cost overrun can be easily recognized and treated. A change management tool allows the project's designers to identify, examine and discuss the implications of every proposed change in the design before the change is executed, and prevent deviations from the project's cost and energy performance requirements. A third tool supports a life cycle cost analysis of each technology and an identification of their optimal configuration. In response to a tight schedule and the uncertainty regarding the users' exact requirements, an Evolutionary Prototyping methodology was adopted to develop the tools. They were implemented in a project involving the design of Net Zero Energy settlements in four different European countries.

Original languageAmerican English
Pages744-749
Number of pages6
DOIs
StatePublished - 1 Jan 2017
Event34th International Symposium on Automation and Robotics in Construction, ISARC 2017 - Taipei, Taiwan, Province of China
Duration: 28 Jun 20171 Jul 2017

Conference

Conference34th International Symposium on Automation and Robotics in Construction, ISARC 2017
Country/TerritoryTaiwan, Province of China
CityTaipei
Period28/06/171/07/17

Keywords

  • Change management
  • Cost control
  • Design optimization
  • Net Zero Energy

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Building and Construction

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