Short answer
Incorporate standardized, forward-looking cost data into the early stages of design and planning for sustainable energy systems to ensure economic viability and strategic alignment.
- Field
- Sustainability
- Source
- Scientific Data (2025)
- Method
- Data compilation and standardization
- Sample
- Data from over 110 existing studies
- Evidence
- Strong effect
Standardized cost projection data for solar, wind, battery, and hydrogen technologies is essential for informed investment and policy decisions in the global energy transition. This sustainability research insight is drawn from a 2025 study published in Scientific Data. Using Data compilation and standardization with Data from over 110 existing studies, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Incorporate standardized, forward-looking cost data into the early stages of design and planning for sustainable energy systems to ensure economic viability and strategic alignment.
Cost Projections for Clean Energy Technologies Inform Investment and Policy
Standardized cost projection data for solar, wind, battery, and hydrogen technologies is essential for informed investment and policy decisions in the global energy transition.
Scientific Data · 2025
Key Findings
- 01A comprehensive dataset of cost projections for utility-scale and rooftop photovoltaics, onshore and offshore wind power, grid-scale Li-ion batteries, concentrated solar thermal power, and electrolysers has been created.
- 02The dataset spans national, continental, and global scales with annual granularity through 2050, including metadata for source type and region.
- 03Data is provided under various scenarios to enable risk and uncertainty assessments.
Application
Design takeaway
Incorporate standardized, forward-looking cost data into the early stages of design and planning for sustainable energy systems to ensure economic viability and strategic alignment.
How to apply
When evaluating the economic feasibility of a new renewable energy project, use this harmonized dataset to compare the projected costs of different technologies and identify potential investment risks.
Project actions
- 01When researching the costs of materials or technologies for your design project, look for comprehensive datasets that have been standardized.
- 02Consider how future cost projections might impact the long-term viability of your design.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Comprehensive coverage of major clean energy technologies.
- +Harmonization and standardization of data from numerous sources.
Limitations
The accuracy of future cost projections is inherently uncertain and depends on many unpredictable factors.
Reliability & validity
Reliability is enhanced by the standardization of data from multiple sources. Validity is dependent on the accuracy and representativeness of the original studies and the effectiveness of the harmonization process.
Think critically
How might the standardization process itself introduce biases or oversimplifications into the cost projections?
Design Principles
"Economic foresight is a critical component of sustainable design."
Accurate and comprehensive cost data allows designers and engineers to make more informed decisions about technology selection, system design, and the economic viability of sustainable energy solutions. This, in turn, influences the pace and direction of decarbonisation efforts.
What This Means for Your Design
This research created a big, organized list of how much solar panels, wind turbines, batteries, and hydrogen are expected to cost in the future. This helps people decide where to invest money and make rules for cleaner energy.
How to use in your project
- 1.Reference this study when discussing the economic considerations and future viability of energy-related design choices in your research project.
Add to My Project
Quick Cite
Paragraph starter
The compilation and standardization of cost projection data for key clean energy technologies, as presented by Vatankhah Ghadim et al. (2025), provides a critical resource for evaluating the economic feasibility and future trajectory of sustainable energy solutions. This harmonized dataset supports informed decision-making in design and investment by offering spatio-temporally granular insights into Capital Expenditures and Levelised Costs for solar, wind, battery, and hydrogen systems, thereby enabling robust techno-economic assessments.
Source
Scientific Data
Clean technology cost projections: investment and levelized costs of solar, wind, battery, and hydrogen
journal · 2025
View sourceQuestions About This Research
- What does the research say about cost projections for clean energy technologies inform investment and policy?
- Incorporate standardized, forward-looking cost data into the early stages of design and planning for sustainable energy systems to ensure economic viability and strategic alignment. Evidence: Scientific Data (2025).
- Why does "Cost Projections for Clean Energy Technologies Inform Investment and Policy" matter for design?
- Accurate and comprehensive cost data allows designers and engineers to make more informed decisions about technology selection, system design, and the economic viability of sustainable energy solutions. This, in turn, influences the pace and direction of decarbonisation efforts.
- How can designers apply this research?
- Incorporate standardized, forward-looking cost data into the early stages of design and planning for sustainable energy systems to ensure economic viability and strategic alignment.
- What were the main findings?
- A comprehensive dataset of cost projections for utility-scale and rooftop photovoltaics, onshore and offshore wind power, grid-scale Li-ion batteries, concentrated solar thermal power, and electrolysers has been created.. The dataset spans national, continental, and global scales with annual granularity through 2050, including metadata for source type and region.. Data is provided under various scenarios to enable risk and uncertainty assessments.
- What research method was used?
- Data compilation and standardization with Data from over 110 existing studies.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2025 journal from Scientific Data.
- What should I do differently in my next project?
- When evaluating the economic feasibility of a new renewable energy project, use this harmonized dataset to compare the projected costs of different technologies and identify potential investment risks.
- What are the limitations?
- The data is derived entirely from existing sources, meaning it inherits the limitations and assumptions of those original studies. The accuracy of projections is subject to future technological advancements and market dynamics.