Abstract

The carbon constrained design of energy supply infrastructure for new build schemes was investigated. This was considered as an optimization problem with the objective of finding the mix of on-site energy supply technologies that meet green house gas emissions targets at a minimum build cost to the developer. An integrated design tool was developed by combining a social cognitive optimisation solver, an infrastructure model and a set of analysis modules to provide the technical design, the evaluation of greenhouse gas emissions and the financial appraisal for the scheme. The integrated design tool was applied to a new build scheme in the UK with a 60% target reduction of regulated emissions. It was shown that the optimal design and corresponding cost was sensitive to the year of build completion and to the assumptions applied when determining the emissions intensity of the marginal central generators.

Highlights

  • The reduction of energy related emissions from buildings is expected to provide a significant contribution to the emissions targets set by UK energy policy

  • This paper presents an integrated design tool that determines the optimal cost mix of energy supply technologies for a scheme subject to local emissions reduction targets

  • An integrated model was developed to combine the various aspects of system performance within a single optimised design tool

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Summary

Introduction

The reduction of energy related emissions from buildings is expected to provide a significant contribution to the emissions targets set by UK energy policy. Part of this effort includes the elimination of emissions from the operation of new build schemes by appropriate planning and design. One approach is to reduce energy consumption through improved use of building construction and material standards. Recent initiatives such as the code for sustainable homes (CSHs) [1] provide developers with a framework for the construction of domestic dwellings, and similar schemes have been mooted for the non-domestic sector [2].

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