A Multi-objective Design Optimization Approach to PV and Battery Storage for Sector-Integrated Energy Systems at Logistics Facilities -

Under Consideration for the Integration of Temperature-controlled Transport

DOI

10.2991/978-94-6463-156-2_29How to use a DOI?

Keywords

Multi-objective design optimization; sector-integrated energy system; PV and battery storage; temperature-controlled transportation; Pareto fronts

Abstract

This work outlines an approach to the optimal design optimization of a photovoltaic (PV) and battery storage system and its integration into the sector-integrated energy system of a logistics company’s facilities. Another major objective is the optimized integration of refrigerated trailers (reefers) into the energy system with the goal of minimizing both costs and CO₂ emissions, as demonstrated in a case study. For this purpose, an existing energy system model utilizing reefers was optimized for computing time and the energy system was extended through the use of a facility’s cooling utility. Multi-criteria design optimization was performed using a multi-objective evolutionary algorithm based on decomposition (MOEDA/D) approach. For this, three key performance indicators (KPIs) were used: the annuity, CO_2-emissions, and own-consumption rate. The results of the multi-criteria design optimization were then analyzed using Pareto fronts. Stakeholders are thus able to find their individual techno-economic/ecological optimum and so plan the transformation to an decentralized, renewable, distributed energy supply accordingly. Three selected Pareto optimal results were selected to evaluate the effect of PV and battery storage on the optimal operation of the sector-integrated energy system and reefer integration.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jan-Simon Telle
AU  - Sunke Schlüters
AU  - Thomas Poppinga
AU  - Benedikt Hanke
AU  - Karsten Maydell
AU  - Carsten Agert
PY  - 2023
DA  - 2023/05/25
TI  - A Multi-objective Design Optimization Approach to PV and Battery Storage for Sector-Integrated Energy Systems at Logistics Facilities -
BT  - Proceedings of the International Renewable Energy Storage  Conference (IRES 2022)
PB  - Atlantis Press
SP  - 451
EP  - 469
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-156-2_29
DO  - 10.2991/978-94-6463-156-2_29
ID  - Telle2023
ER  -