Optimal resources planning algorithm for a coordinated multi-energy system with industrial loads

被引：0

作者：

Shihab, M. Adnan ^{[1
]}

Warendorf, Tom ^{[1
]}

Contreras, Sergio F. ^{[1
]}

Myrzik, Johanna ^{[1
]}

机构：

[1] Univ Bremen, Inst Automat Technol, Bremen, Germany

来源：

2023 IEEE BELGRADE POWERTECH | 2023年

关键词：

multi-energy system; power-to-gas; sector coupling; industrial load; OPTIMIZATION;

D O I：

10.1109/POWERTECH55446.2023.10202766

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Multi-energy systems (MES) are introduced as a potential solution to tackle the challenges addressed by the energy transition. However, the planning of MES, with mixed energy sectors, introduces a complex mixed-integer non-linear optimisation problem. Hence, a combined planning algorithm, with the electricity, heat and gas (H-2 and CH4) sector is proposed in this paper, and a quantitative analysis of the MES operation is conducted. The analysis is done for a city-scale MES with a focus on industrial/commercial loads (electrical and thermal). As a further contribution, the simulation model optimises the capacities and locations of the components of MES to allow maximum cost optimal penetration of renewable energy resources.

引用

页数：6

共 14 条

[1] BDEW, ABOUT US
[2] Pymoo: Multi-Objective Optimization in Python']Python
Blank, Julian
Deb, Kalyanmoy
[J]. IEEE ACCESS, 2020, 8 : 89497 - 89509
[3] Modeling of combined heat and power generation in the context of increasing renewable energy penetration
Bloess, Andreas
[J]. APPLIED ENERGY, 2020, 267 (267)
[4] EPEX SPOT, US
[5] Energy hubs for the future
Geidl, Martin
Koeppel, Gaudenz
Favre-Perrod, Patrick
Kloeckl, Bernd
Andersson, Goran
Froehlich, Klaus
[J]. IEEE POWER & ENERGY MAGAZINE, 2007, 5 (01): : 24 - 30
[6] Optimisation of district heating production by utilising the storage capacity of a district heating network on the basis of weather forecasts
Kuosa, Maunu
Kiviranta, Paulus
Sarvelainen, Hannu
Tuliniemi, Erja
Korpela, Tuija
Tallinen, Kirsi
Koponen, Hanna-Kaisa
[J]. RESULTS IN ENGINEERING, 2022, 13
[7] MES (multi-energy systems): An overview of concepts and evaluation models
Mancarella, Pierluigi
[J]. ENERGY, 2014, 65 : 1 - 17
[8] MANGO: A novel optimization model for the long-term, multi-stage planning of decentralized multi-energy systems
Mavromatidis, Georgios
Petkov, Ivalin
[J]. APPLIED ENERGY, 2021, 288
[9] Sarajlic D., 2019, PROC 2019 IEEE PES I, P3
[10] Statista, GERM LAND PRIC US PO

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