Paper Conference

Proceedings of BSO Conference 2018: Fourth Conference of IBPSA-England

     

Evaluation and Optimisation of Energy Efficient Retrofitting Scenarios for Districts Based on District Performance Indicators and Stakeholders’ Priorities

Miguel A. García-Fuentes, Víctor Serna, Gema Hernández

Abstract: The main objective of the research work presented within this paper is the creation of an evaluation tool that supports decision making for energy efficient retrofitting projects at district scale. This evaluation tool utilises as inputs the calculation of District Performance Indicators in 6 domains (energy, comfort, environment, economic, social and urban) through the appropiate coupling of simulation tools; and the boundaries, barriers and preferences of the stakeholders of the retrofitting project through pairwise comparison of indicators. Then the evaluator provides as outcome the calculation of composite performance indexes (cost and benefit), as well as information on compliance with the targets and boundaries established by the user. This evaluator is part of an Energy Efficient Retrofitting Design Platform for Districts, under development within an EU-H2020 funded project titled OptEEmAL. Three main components have been developed for this evaluator, which include the inputs processing (values of indicators, pairwise comparison matrix, and targets and boundaries associated to indicators), the generation of the weighting scheme and its implementation, and the outcomes processing to provide the compliance with targets and boundaries. It has been designed to be coupled with an automatic generator of scenarios that provides a set of 50 candidate scenarios in each iteration. Thus, the indicators for the fields mentioned above are calculated for these scenarios and inserted as input to the evaluator. As outcome, the evaluator provides the order of preferred scenarios against the priorities established by the project stakeholders, as well as their compliance with the boundary conditions that characterise each specific simulation and optimisation problem defined by the user.
Pages: 68 - 75
Paper:
bso2018_1B-5