Study
SustainabilityHigh ImpactStrong effect

Hybrid Modeling of Energy Systems Enhances Sustainability Analysis

Integrating computational, mathematical, and physical modeling approaches with economic considerations provides a more holistic view for sustainable energy system design and operation.

Processes · 2018

01

Key Findings

  • 01Process Systems Engineering (PSE) traditionally focuses on technological characteristics, while Energy Economics (EE) models broader economic contexts and stakeholder interactions.
  • 02Hybrid approaches combining PSE and EE can lead to better decision-making in optimal design, operation, and sustainability analysis of energy systems.
  • 03Accounting for feedback effects of new technologies within a combined PSE-EE framework is essential for realistic sustainability assessments.
02

Application

Design takeaway

Incorporate economic and stakeholder analysis into the design and simulation of energy systems to ensure their long-term sustainability and viability.

How to apply

When designing a new energy system or optimizing an existing one, use simulation tools that can incorporate both process performance data and market price forecasts, and consider the impact on various stakeholders.

Project actions

  • 01When researching energy systems, look for studies that combine technical performance with economic factors.
  • 02Consider how your design choices might impact different user groups or market conditions.
03

Method & Evidence

AimHow can hybrid modeling approaches, combining technical process engineering with energy economics, improve the sustainability analysis and design of energy systems?
MethodLiterature Review and Synthesis
ProcedureThe researchers reviewed existing literature on energy system modeling, categorizing contributions based on modeling approach (computational, mathematical, physical) and field (Process Systems Engineering, Energy Economics). They analyzed the strengths and weaknesses of each approach and proposed the integration of PSE and EE for enhanced sustainability analysis.
ContextEnergy Systems Design and Operation

Variables

IVModeling approach (PSE vs. EE vs. Hybrid)
DVSustainability analysis outcomes (e.g., efficiency, cost-effectiveness, environmental impact)
CVType of energy system, specific technological components, geographical location
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Strengths & Limitations

Strengths

  • +Provides a comprehensive overview of existing modeling approaches.
  • +Clearly articulates the benefits of interdisciplinary integration.

Limitations

It can be challenging to find readily available data that accurately represents both the technical performance and the economic context of a specific energy system.

Reliability & validity

The reliability of the findings depends on the comprehensiveness of the literature review. Validity is supported by the synthesis of established fields (PSE and EE).

Think critically

To what extent can purely technical models of energy systems accurately predict their real-world sustainability without considering economic and social factors?

05

Design Principles

"Holistic system design requires the integration of technical, economic, and social factors."

Designers and engineers often focus on the technical feasibility and efficiency of energy systems. However, understanding the economic context and stakeholder interactions is crucial for developing truly sustainable solutions that are both environmentally sound and economically viable.

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What This Means for Your Design

To make energy systems truly sustainable, we need to think about both how they work technically and how they fit into the economy, considering who is affected and how.

How to use in your project

  • 1.Reference this review when discussing the importance of considering economic factors and stakeholder impacts in your design project's sustainability analysis.
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Add to My Project

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Quick Cite

(2018). Modeling and Simulation of Energy Systems: A Review. Processes. https://doi.org/10.3390/pr6120238 Retrieved from https://designdex.org/study/d2782212-423f-4636-895d-f1ccd2a2ebda/hybrid-modeling-of-energy-systems-enhances-sustainability-analysis

Paragraph starter

This research highlights the necessity of a hybrid approach to modeling energy systems, integrating Process Systems Engineering with Energy Economics. By combining technical process simulations with economic analyses that account for market dynamics and stakeholder feedback, designers can achieve more robust sustainability assessments and develop more viable, long-term energy solutions.

09

Source

Processes

Modeling and Simulation of Energy Systems: A Review

journal · 2018

View source

Questions about this research

What does the research say about hybrid modeling of energy systems enhances sustainability analysis?
Incorporate economic and stakeholder analysis into the design and simulation of energy systems to ensure their long-term sustainability and viability. Evidence: Processes (2018).
Why does "Hybrid Modeling of Energy Systems Enhances Sustainability Analysis" matter for design?
Designers and engineers often focus on the technical feasibility and efficiency of energy systems. However, understanding the economic context and stakeholder interactions is crucial for developing truly sustainable solutions that are both environmentally sound and economically viable.
How can designers apply this research?
Incorporate economic and stakeholder analysis into the design and simulation of energy systems to ensure their long-term sustainability and viability.
What were the main findings?
Process Systems Engineering (PSE) traditionally focuses on technological characteristics, while Energy Economics (EE) models broader economic contexts and stakeholder interactions.. Hybrid approaches combining PSE and EE can lead to better decision-making in optimal design, operation, and sustainability analysis of energy systems.. Accounting for feedback effects of new technologies within a combined PSE-EE framework is essential for realistic sustainability assessments.
What research method was used?
Literature Review and Synthesis.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2018 journal from Processes.
What should I do differently in my next project?
When designing a new energy system or optimizing an existing one, use simulation tools that can incorporate both process performance data and market price forecasts, and consider the impact on various stakeholders.
What are the limitations?
The review is based on existing literature, and the practical implementation of hybrid models may face challenges in data availability and model integration.
Is there evidence that energy systems affects design outcomes?
By merging engineering-focused process modeling with economic modeling that considers market dynamics and stakeholders, we can achieve more comprehensive and effective sustainability assessments for energy systems. Designers and engineers often focus on the technical feasibility and efficiency of energy systems. Howeve Source: Processes (2018).
Where does this simulation energy research apply?
Energy Systems Design and Operation It sits within sustainability research on designdex.org.

Related research topics

energy systems design research · evidence on energy systems · does energy systems improve design outcomes · simulation energy studies for designers · energy systems and simulation energy findings · sustainability research evidence