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conference paper

Key Performance Indicators for Decision Making in Building Energy Systems

Middelhauve, Luise  
•
Santecchia, Alessio  
•
Girardin, Luc  
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June 29, 2020
Proceedings of ECOS 2020
33rd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems - ECOS 2020

Policy makers and energy operator have the responsibility to select indicators for their mission to lead the renewable energy transition ensuring energy independence and security of supply in the context of decarbonisation of the energy mix and and/or nuclear phase-out with increasing cost for flexibility. Engineers are therefore asked to propose key performance indicators (KPI) allowing to quantify the positive impact of operation strategies and efficient technology solutions to harvest and distribute more renewable resources, while minimizing the environmental impact and overall costs. The aim of this paper is to analyze the impact of KPIs and their different definitions on planning building energy systems (BES) in order to support decision maker to define, monitor and fulfill their objective. A wide-range of alternative solutions are generated using Mixed Linear Integer Programming (MILP) and Multi Objective Optimization (MOO) to capture the decision space of BES. Machine learning techniques, like principle component analysis and k-medoids clustering, are applied to identify the major trends, thus supporting multi - criteria decision making. Results highlight the correlations between twenty-six indicators, showing the importance of (i) setting appropriate system boundaries, (ii) using hourly resolution and (iii) constructional footprint to characterize flexible systems. Low emission electrical grid mix has a high impact on strategic planning and is in conflict with decentralized, self-sufficient energy systems. Including life cycle assessment (LCA) of the system shows besides operational emission, the constructional footprint is significantly contributing to the total Global Warming Potential (GWP). Considering the ecological optimal BES in Switzerland, this contribution is more than 40%, while for high emission electrical grid mix the latter accounts for more than 90%.

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Type
conference paper
Author(s)
Middelhauve, Luise  
Santecchia, Alessio  
Girardin, Luc  
Maréchal, François  
Margni, Manuele
Date Issued

2020-06-29

Published in
Proceedings of ECOS 2020
ISBN of the book

9781713814061

Start page

388

End page

400

Subjects

Building energy system

•

Key performance indicators

•

Life cycle assessment

•

Multi objective optimization

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Renewable energy penetration

•

Electricity power grid

•

Exergy effciency

URL

conference proceedings - table of content

http://toc.proceedings.com/55242webtoc.pdf
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SCI-STI-FM  
Event nameEvent placeEvent date
33rd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems - ECOS 2020

Osaka, Japan

June 29- July 3, 2020

Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/170038
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