Carbon neutral energy systems: Optimal integration of energy systems with CO<sub>2</sub> abatement pathways

Abstract Reducing emissions requires transitioning towards decarbonized systems through avoiding, processing, or offsetting. Decisions on system design are associated with high costs which can be reduced at the planning stage through optimization. The temporal variations in power demand and renewable energy supply significantly impact the design of a low‐emissions energy system. Effective decision‐making must consider such impact in a comprehensive framework that accounts for the potential synergies between different options. This work presents a mixed integer linear programming model that considers the impacts of energy supply and demand dynamics to optimize the design and operation of an integrated energy system while adhering to a set emissions limit. The model integrates renewable power with CO 2 capture, utilization, and sequestration by considering H 2 production and storage. The case study showed including negative emissions technologies and CO 2 capture and processing with renewable energy allows achieving net zero emissions power.

Authors

Institutions

Publication Details

Journal
AIChE Journal
Published
2024-08-16
DOI
https://doi.org/10.1002/aic.18568
Citations
6
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
1.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Carbon neutral energy systems: Optimal integration of energy systems with CO2 abatement pathways

Patrick Linke, Dhabia M. Al‐Mohannadi, Mohammad Lameh
6 citations
AIChE Journal
Integrated Energy Systems Optimization
1.25
article

Carbon neutral energy systems: Optimal integration of energy systems with CO2 abatement pathways

Patrick Linke, Dhabia M. Al‐Mohannadi, Mohammad Lameh
article en
6 citations

Abstract

Abstract Reducing emissions requires transitioning towards decarbonized systems through avoiding, processing, or offsetting. Decisions on system design are associated with high costs which can be reduced at the planning stage through optimization. The temporal variations in power demand and renewable energy supply significantly impact the design of a low‐emissions energy system. Effective decision‐making must consider such impact in a comprehensive framework that accounts for the potential synergies between different options. This work presents a mixed integer linear programming model that considers the impacts of energy supply and demand dynamics to optimize the design and operation of an integrated energy system while adhering to a set emissions limit. The model integrates renewable power with CO 2 capture, utilization, and sequestration by considering H 2 production and storage. The case study showed including negative emissions technologies and CO 2 capture and processing with renewable energy allows achieving net zero emissions power.

AIChE JournalVol. 70(11)
Texas A&M University at Qatar (QA)
Affordable and clean energy
Openalex Percentile: Top 20%
Integrated Energy Systems Optimization
1.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Carbon neutral energy systems: Optimal integration of energy systems with CO<sub>2</sub> abatement pathways — Patrick Linke, Dhabia M. Al‐Mohannadi, et al. · AIChE Journal (2024) | TGRS Research Map | TGRS