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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

Telle, Jan-Simon and Schlüters, Sunke and Poppinga, Thomas and Hanke, Benedikt and von Maydell, Karsten and Agert, Carsten (2022) 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. Atlantis Press. International Renewable Energy Storage and Systems Conference (IRES 2022), 20.-22. Sep. 2022, Düsseldorf, Deutschland.

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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 approach. For this, three key performance indicators (KPIs) were used: the annuity, CO2-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.

Item URL in elib:https://elib.dlr.de/192371/
Document Type:Conference or Workshop Item (Speech)
Title: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
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Telle, Jan-SimonUNSPECIFIEDhttps://orcid.org/0000-0001-6228-6815
Schlüters, SunkeUNSPECIFIEDhttps://orcid.org/0000-0002-2186-812X
Poppinga, ThomasDLR-Institut für Vernetzte Energiesystemehttps://orcid.org/0000-0003-0247-1490
Hanke, BenediktUNSPECIFIEDhttps://orcid.org/0000-0001-7927-0123
von Maydell, KarstenUNSPECIFIEDhttps://orcid.org/0000-0003-0966-5810
Agert, CarstenUNSPECIFIEDhttps://orcid.org/0000-0003-4733-5257
Date:2022
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Publisher:Atlantis Press
Status:Accepted
Keywords:Multi-objective design optimization, sector-integrated energy system, PV and battery storage, temperature-controlled transportation, Pareto fronts
Event Title:International Renewable Energy Storage and Systems Conference (IRES 2022)
Event Location:Düsseldorf, Deutschland
Event Type:international Conference
Event Dates:20.-22. Sep. 2022
HGF - Research field:Energy
HGF - Program:Energy System Design
HGF - Program Themes:Digitalization and System Technology
DLR - Research area:Energy
DLR - Program:E SY - Energy System Technology and Analysis
DLR - Research theme (Project):E - Energy System Technology
Location: Oldenburg
Institutes and Institutions:Institute of Networked Energy Systems > Energy System Technology
Deposited By: Telle, Jan-Simon
Deposited On:15 Dec 2022 12:13
Last Modified:15 Dec 2022 12:13

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