Thursday, 14:15 - 14:40 h, Room: MA 550


Mark Jennings
Optimization of technology investments and capital management in an urban energy system housing retrofit project: Use of rolling horizons in a London borough study

Coauthors: David Fisk, Nilay Shah


We consider formulations optimizing the technological and capital decisions taken when retrofitting urban energy systems at the large-scale. This study can be considered a minimum cost strategic capital management problem, incorporating a resource-task network representation of the housing stock's demand and supply side energy systems. We use real data on existing housing conditions from a London borough seeking to minimise its housing stocks's greenhouse gas emissions.
We seek to answer two research questions: (i) what is the effect of rolling horizons on investments which retrofit housing technologies?, and (ii) to what degree does the abstraction of the temporally dynamic technological operations in separate LP, MILP, and MINLP formulations impact upon the optimizations's fidelity, piecewise special ordered set branching error, and processing unit solution time respectively?
Initial insights suggest that expected reductions in energy demand may be adversely affected by investor attitudes to shorter time horizons. MILP formulations of housing retrofit projects may offer the best tradeoffs between fidelity/accuracy and reasonable solution times.


Talk 3 of the contributed session Thu.2.MA 550
"Bilevel programming and housing retrofit" [...]
Cluster 18
"Optimization in energy systems" [...]


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