Imperial College London
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Emeritus ProfessorDavidFisk

Faculty of Engineering, Department of Civil and Environmental Engineering

Emeritus Professor
 
 
 
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Contact

 

+44 (0)20 7594 6109d.fisk Website

 
 
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Assistant

 

Mr Tim Gordon +44 (0)20 7594 5031

 
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Location

 

426Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Jennings:2011,
author = {Jennings, MG and Fisk, DJ and Shah, N},
journal = {Proceedings of the 24th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2011},
pages = {2023--2035},
title = {Optimal scheduling of low carbon investment decisions for a social housing refurbishment case study},
year = {2011}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - In recent years there has been an escalation in academic interest in making cities more sustainable, particularly through the refurbishment of buildings and heating networks. To answer the question of what is the optimal order in which neighbourhood scale interventions should be made, this study has been carried out to determine the optimized plan for low carbon investments in existing assets. First, a model has been constructed in the form of traditional mixed integer linear programming (MILP) using the resource-technology network (RTN) framework. This model is a multi-period spatially and temporally explicit case study over a period of twenty years of four neighbourhoods comprising more than 1,300 people. The main equations which have been extended include a resource balance and technology asset balance for the group of terraced houses in the neighbourhood. The neighbourhood is divided up into four nodes of interest. Each node has associated parameters for daily/seasonal heat and electricity demand and also 'year 1' initialised incumbent technologies. Annual investment decisions have been determined by both minimum and maximum annual budgetary constraints. The decision variables can be investments in more efficient technologies or improvements in thermal envelopes of buildings. The application of MILP optimizers to the refurbishment strategy of a neighbourhood scheme, as presented in this study, is a novel approach, as typically heuristics are used for refurbishment models on a similar scale. Specifically, MILP allows a number of exclusivity and inclusive decision functions to be formulated, such as the dependence of district heating networks on the investment in a discrete community scale CHP plant. Results from this model suggest that it is better for scheme managers to invest in demand side interventions before replacing current technologies when minimizing emissions towards a exogenous emissions trajectory. This study also indicates that there is value-added b
AU  - Jennings,MG
AU  - Fisk,DJ
AU  - Shah,N
EP  - 2035
PY  - 2011///
SP  - 2023
TI  - Optimal scheduling of low carbon investment decisions for a social housing refurbishment case study
T2  - Proceedings of the 24th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2011
ER  -
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