Short answer

Designers should prioritize the development and integration of solar, wind, energy storage, and sector coupling technologies, with a view towards creating net-negative emission systems.

Field
Resource Management
Source
IEEE Access (2022)
Method
Literature review and meta-analysis of existing research, combined with advanced modeling techniques.
Evidence
Strong effect

Research indicates that transitioning to 100% renewable energy systems is achievable worldwide with significant cost benefits, primarily relying on solar and wind power. This resource management research insight is drawn from a 2022 study published in IEEE Access. Using Literature review and meta-analysis of existing research, combined with advanced modeling techniques., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Designers should prioritize the development and integration of solar, wind, energy storage, and sector coupling technologies, with a view towards creating net-negative emission systems.

Study
Resource ManagementHigh ImpactStrong effect

100% Renewable Energy Systems are Feasible and Cost-Effective Globally

Research indicates that transitioning to 100% renewable energy systems is achievable worldwide with significant cost benefits, primarily relying on solar and wind power.

IEEE Access · 2022

01

Key Findings

  • 01100% renewable energy systems are feasible worldwide at low cost.
  • 02Solar and wind power are the central pillars of sustainable energy systems, complemented by energy efficiency.
  • 03Cost-optimization modeling favors higher solar photovoltaic shares, while diversification strategies point to higher wind power contributions.
  • 04Recent research addresses challenges like grid congestion, energy storage, and sector coupling (e.g., power-to-X, hydrogen-to-X).
  • 05Integration of natural and technical carbon dioxide removal (CDR) approaches can lead to net-negative emissions and limit global warming to 1.5°C.
02

Application

Design takeaway

Designers should prioritize the development and integration of solar, wind, energy storage, and sector coupling technologies, with a view towards creating net-negative emission systems.

How to apply

When designing energy systems or products that consume energy, consider how they can be powered by renewable sources and contribute to overall energy efficiency and carbon reduction goals.

Project actions

  • 01When exploring energy solutions, consider the long-term viability of 100% renewable systems.
  • 02Investigate the role of energy storage and sector coupling in making renewable energy reliable.
  • 03Analyze the cost-effectiveness of different renewable energy combinations.
03

Method & Evidence

AimTo assess the global feasibility and cost-effectiveness of transitioning to 100% renewable energy systems.
MethodLiterature review and meta-analysis of existing research, combined with advanced modeling techniques.
ProcedureThe study synthesized findings from numerous research groups and organizations that have modeled pathways to 100% renewable energy. It analyzed various transition scenarios, considering factors like resource availability, cost optimization, and technological advancements.
ContextGlobal energy systems and sustainable development.

Variables

IVEnergy sources (renewable vs. fossil fuel), technological advancements, cost optimization strategies, resource availability.
DVFeasibility of 100% renewable energy systems, cost-effectiveness, greenhouse gas emissions, grid stability.
CVGlobal warming targets (e.g., 1.5°C), carbon budget, energy demand projections.
04

Strengths & Limitations

Strengths

  • +Comprehensive synthesis of a large body of research.
  • +Inclusion of advanced concepts like sector coupling and carbon dioxide removal.
  • +Addresses feasibility and cost-effectiveness on a global scale.

Limitations

The specific mix of renewable sources and technologies may vary by region, and the integration of new technologies like CDR requires further development and validation.

Reliability & validity

The reliability and validity of the findings are based on the meta-analysis of numerous studies, which collectively employ various modeling techniques and data sources. However, the accuracy of future projections is inherently subject to uncertainties in technological development and policy implementation.

Think critically

How might the specific geographical and resource availability of a particular region influence the optimal pathway towards a 100% renewable energy system, and what design considerations arise from these regional differences?

05

Design Principles

"Design for a 100% renewable energy future by prioritizing efficiency, storage, and carbon sequestration."

This insight challenges the notion that a complete shift away from fossil fuels is prohibitively expensive or technically impossible. It provides a strong foundation for design decisions aimed at long-term sustainability and resource independence.

06

What This Means for Your Design

It's possible to power the whole world using only renewable energy like solar and wind, and it can even be cheaper than using fossil fuels. This research shows how we can do it and what technologies are most important.

How to use in your project

  • 1.Reference this study when justifying the choice of renewable energy sources for a design project.
  • 2.Use its findings to support arguments about the economic and environmental benefits of sustainable energy transitions.
07

Add to My Project

08

Quick Cite

Paragraph starter

Research by Breyer et al. (2022) demonstrates that a global transition to 100% renewable energy systems is not only feasible but also cost-effective, primarily leveraging solar and wind power. This comprehensive analysis suggests that by integrating energy efficiency, advanced storage solutions, and sector coupling, alongside carbon dioxide removal technologies, a sustainable, net-negative emissions economy can be achieved, offering a clear pathway to limit global warming.

09

Source

IEEE Access

On the History and Future of 100% Renewable Energy Systems Research

journal · 2022

View source

Questions About This Research

What does the research say about 100% renewable energy systems are feasible and cost-effective globally?
Designers should prioritize the development and integration of solar, wind, energy storage, and sector coupling technologies, with a view towards creating net-negative emission systems. Evidence: IEEE Access (2022).
Why does "100% Renewable Energy Systems are Feasible and Cost-Effective Globally" matter for design?
This insight challenges the notion that a complete shift away from fossil fuels is prohibitively expensive or technically impossible. It provides a strong foundation for design decisions aimed at long-term sustainability and resource independence.
How can designers apply this research?
Designers should prioritize the development and integration of solar, wind, energy storage, and sector coupling technologies, with a view towards creating net-negative emission systems.
What were the main findings?
100% renewable energy systems are feasible worldwide at low cost.. Solar and wind power are the central pillars of sustainable energy systems, complemented by energy efficiency.. Cost-optimization modeling favors higher solar photovoltaic shares, while diversification strategies point to higher wind power contributions.. Recent research addresses challenges like grid congestion, energy storage, and sector coupling (e.g., power-to-X, hydrogen-to-X).
What research method was used?
Literature review and meta-analysis of existing research, combined with advanced modeling techniques..
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2022 journal from IEEE Access.
What should I do differently in my next project?
When designing energy systems or products that consume energy, consider how they can be powered by renewable sources and contribute to overall energy efficiency and carbon reduction goals.
What are the limitations?
The study acknowledges initial skepticism and institutional inertia that may hinder adoption, and the specific modeling assumptions can influence pathway outcomes.