Energy Submission Guide: Requirements, Format & What Editors Want

Energy focuses on research spanning energy production, conversion, storage, and system-level performance. It sits in the practical middle ground between broader, systems-oriented energy journals and narrower specialist titles.

The editors screen for practical system-level contributions. This means your research should address how energy technologies perform in realistic operating conditions, not just optimized laboratory settings. A paper on novel battery materials needs to show how those materials perform in actual energy storage systems, including cycle life, cost implications, and integration challenges.

• What passes editorial screening:
• Novel energy conversion processes with demonstrated efficiency gains
• Energy storage systems with techno-economic analysis
• Renewable energy integration studies with grid-level modeling
• Energy system optimization with realistic constraints
• Lifecycle assessments of energy technologies
• Techno-economic evaluations of emerging energy systems

• Common scope mismatches that trigger desk rejection:

Pure materials characterization without energy system context gets rejected immediately. The editors see hundreds of papers each month claiming "this novel material could be used for energy applications" without demonstrating actual energy system performance.

Energy systems modeling without experimental validation is another frequent rejection. The journal wants both theoretical frameworks and empirical data showing how your approach works in practice.

Papers focusing solely on component optimization without system integration don't align with Energy's scope. If you're improving a heat exchanger design, you need to show how that improvement affects overall system performance, costs, and deployment feasibility.

Geographic or country-specific energy policy analysis without broader technological or methodological contributions typically gets redirected to Energy Policy. Energy wants research that advances the scientific understanding of energy systems, not regional case studies.

The journal receives many submissions on energy efficiency improvements that don't account for real-world constraints. Your 15% efficiency gain in controlled conditions needs validation under variable operating conditions, including temperature fluctuations, load variations, and maintenance requirements.

• Editor priorities for acceptance:

Realistic assessment of technology deployment barriers. Don't claim your innovation is "commercially viable" without providing cost analysis and market deployment pathways.

System-level performance metrics that go beyond simple efficiency calculations. Include capacity factors, availability, reliability, and integration complexity.

Comparative analysis with existing technologies using consistent methodologies. Cherry-picking favorable operating conditions while ignoring practical limitations will get flagged during review.

Energy follows standard Elsevier formatting requirements, but has specific technical documentation expectations for energy research.

• Document specifications:
• No strict word limit, but most accepted papers are 8,000-12,000 words
• Figures and tables should be publication-ready with 300 DPI minimum resolution
• Reference format: numbered citations in order of appearance
• SI units throughout (no exceptions for US customary units)

• Required sections for Research Articles:

Introduction, Methods, Results, Discussion, Conclusions. Energy allows combined Results and Discussion sections if it improves readability.

• Technical requirements specific to Energy:

Energy balance calculations must be complete and verifiable. Include all energy inputs, outputs, and losses with uncertainty analysis.

Economic analysis should use consistent methodology. If you're comparing levelized cost of energy (LCOE) across technologies, use the same discount rates, project lifetimes, and cost categories.

Environmental impact assessment should follow established lifecycle assessment (LCA) frameworks. Don't create custom environmental metrics unless you provide thorough justification and validation.

• Supplementary information expectations:

Detailed experimental procedures that allow reproducibility. Energy editors frequently request additional experimental details during review if your Methods section lacks sufficient detail.

Raw data files for computational studies. This includes input parameters, model configurations, and sensitivity analysis data.

Economic calculation spreadsheets showing how you derived cost estimates. Reviewers will check your assumptions and calculation methods.

• Figure and table requirements:

All figures must be interpretable without referring to the text. Include complete axis labels, units, and legend explanations.

Tables should present data in a logical sequence that supports your narrative flow. Don't dump raw data without analysis or interpretation.

Energy system diagrams must be technically accurate and complete. Missing components or simplified process flows that ignore practical constraints will get flagged during review.

Your Energy cover letter should position your research within the broader energy systems context, not just describe your specific technical achievements.

• Opening paragraph structure:

State your paper's system-level contribution in the first sentence. "This paper presents a novel energy storage system that achieves 15% higher round-trip efficiency while reducing capital costs by 20% compared to current lithium-ion systems."

Don't lead with generic statements about energy importance or climate change. The editors know energy research matters. They want to know what your specific research contributes.

• Second paragraph - technical positioning:

Explain how your work advances beyond current energy system limitations. This isn't just about being novel; it's about solving practical deployment challenges.

"Current energy storage systems face deployment barriers due to high capital costs and limited cycle life. Our approach addresses both limitations through [specific technical innovation] while maintaining grid-scale applicability."

• Third paragraph - significance and impact:

Connect your technical results to broader energy system implications. How does your 15% efficiency improvement translate to system-level benefits?

Include quantitative impact projections when possible. "This efficiency gain could reduce energy storage costs by $50/MWh at utility scale, making renewable energy integration economically competitive in additional markets."

• Closing paragraph:

Confirm that your research hasn't been published elsewhere and that all authors approve the submission. Energy editors check for duplicate publication aggressively.

Don't oversell your results or make claims about commercial readiness unless you have supporting economic and deployment analysis. Energy editors have seen countless "game-changing" technologies that never deployed commercially.

For more detailed guidance, see our Journal Cover Letter Template: 5 Filled-In Examples for Any Journal (2026) which includes energy-specific examples.

Energy editors reject approximately 50-60% of submissions at the editorial screening stage. Most rejections stem from five recurring mistakes that authors can avoid with proper preparation.

• Missing techno-economic analysis. This is the most frequent rejection reason. You can't claim cost advantages or economic viability without supporting calculations. Energy editors expect levelized cost analysis, capital expenditure estimates, and operational cost comparisons.

A paper claiming "reduced costs" without quantitative analysis gets desk-rejected immediately. If you're developing a new energy conversion process, include equipment costs, maintenance requirements, and operational expenses compared to existing technologies.

• Inadequate system integration analysis. Component-level optimization without system-level validation doesn't meet Energy's scope. Your improved solar cell efficiency means nothing without analysis of how it affects overall system performance, including inverter compatibility, thermal management, and grid integration requirements.

• Ignoring deployment constraints. Laboratory conditions don't represent real-world operating environments. Your energy storage system that works perfectly at 25°C constant temperature won't survive actual grid deployment with temperature variations from -20°C to +50°C.

Energy editors look for realistic operating condition analysis. Include performance degradation under variable conditions, maintenance requirements, and failure mode analysis.

• Insufficient experimental validation. Theoretical models without experimental verification get rejected unless they provide new methodological frameworks with clear validation pathways. If you're proposing a new energy system design, you need experimental data showing proof-of-concept performance.

Computer simulations alone don't constitute adequate validation for energy system research. The editors want to see how your theoretical predictions match experimental results under controlled conditions.

• Incomplete lifecycle analysis. Claiming environmental benefits without full lifecycle assessment doesn't pass editorial screening. Your "clean" energy technology needs analysis of manufacturing impacts, operational emissions, and end-of-life disposal considerations.

This particularly affects papers on renewable energy technologies that ignore manufacturing energy requirements and material extraction impacts.

• Missing competitive analysis. Not comparing your approach to existing technologies using consistent metrics leads to rejection. Energy editors expect head-to-head comparisons with current commercial technologies, not just improvements over previous research papers.

Include why existing solutions are inadequate and how your approach overcomes specific limitations. Don't just claim superiority; demonstrate it with consistent comparative analysis.

• Overlooking practical constraints. Proposing energy systems that ignore real-world constraints like material availability, manufacturing scalability, or regulatory requirements gets flagged during editorial screening.

Your breakthrough energy technology needs feasibility analysis. Can it be manufactured at scale? Are the required materials available in sufficient quantities? Do regulatory frameworks exist for deployment?

After editorial screening, Energy sends manuscripts to 2-3 peer reviewers selected based on technical expertise and research area overlap. The median time to first decision is 100-140 days, but complex energy systems research can take longer due to reviewer availability challenges.

• What happens after submission:

Editorial screening (5-10 days). The editorial team checks scope alignment, technical completeness, and formatting requirements. About 40-50% of submissions pass this initial filter.

Reviewer assignment (10-20 days). Energy maintains a database of active reviewers in energy research areas. Complex interdisciplinary papers take longer to assign because they need reviewers with diverse expertise.

Peer review process (60-120 days). Reviewers evaluate technical accuracy, novelty, and significance. Energy reviewers typically focus on experimental validation, economic analysis, and practical deployment feasibility.

• Decision categories:

Accept (rare on first submission, typically <5% of papers)

Minor revision (requires addressing reviewer comments without new experiments)

Major revision (needs additional experimental work or analysis)

Reject with resubmission encouraged (fundamental issues that can be addressed)

Reject (scope mismatch or fundamental technical problems)

• Timeline factors that affect review duration:

Interdisciplinary energy research takes longer because it requires reviewers with expertise across multiple areas. A paper combining materials science, system modeling, and economic analysis needs diverse reviewer perspectives.

Holiday periods (December-January, July-August) extend review timelines because many academic reviewers are unavailable.

Highly specialized topics may have limited reviewer availability, extending the assignment phase.

• Tracking your submission:

Editorial Manager provides status updates, but they're often generic. "Under review" can mean anything from "waiting for reviewer responses" to "editor evaluating reviewer comments."

Most Energy submissions spend 60-90 days in active review once reviewers are assigned. If your status shows "Under review" for more than 120 days, you can contact the editorial office for status updates.

In our pre-submission review work with manuscripts targeting Energy, three patterns generate the most consistent desk rejections among the papers we analyze.

In our experience, roughly 35% of desk rejections at Energy trace to scope or framing problems that prevent the paper from competing in this venue. In our experience, roughly 25% involve insufficient methodological rigor or missing validation evidence. In our experience, roughly 20% arise from a novelty claim that outpaces the supporting data.

According to Energy submission guidelines, each pattern below represents a documented desk-rejection trigger; per SciRev data and Clarivate JCR 2024 benchmarks, addressing these before submission meaningfully reduces early-rejection risk.

• Systems-level claims built on component-level data. Energy's author guidelines require that manuscripts address "energy production, storage, conversion, and distribution systems," and editors interpret this as requiring actual system-level evidence. We see consistent desk rejection of papers that optimize a single component, such as a catalyst, electrode material, or heat exchanger configuration, and then claim system-level implications that the data do not support. If your experimental work was conducted at the component or bench scale, the paper needs either a validated system model or direct system integration data before the claims can be written as Energy contributions rather than materials science results.

• Techno-economic analysis that uses best-case assumptions throughout. We observe a recurring pattern where authors present LCOE calculations or cost comparison analyses that consistently select the most favorable values from the literature for every input: capital cost, capacity factor, discount rate, project lifetime, and degradation rate. Energy reviewers check these calculations carefully and flag when every assumption falls in the optimistic range without sensitivity analysis. The journal requires that techno-economic conclusions be robust across a realistic parameter range, not just plausible under the most favorable conditions.

• Validation missing for realistic operating conditions. Papers that characterize energy system performance at laboratory standard conditions, typically 25 degrees Celsius, constant load, and controlled humidity, and then project those results to grid-scale deployment consistently draw reviewer concerns about overstated performance. We observe this most often in energy storage papers, where cycle life at constant temperature and controlled depth of discharge is presented as evidence of commercial readiness without testing temperature variability, calendar aging, or partial-state-of-charge cycling that would be encountered in actual grid applications.

SciRev author-reported data confirms Energy's approximately 30-day median to first editorial decision. A Energy journal systems evidence and techno-economic analysis check can evaluate whether your systems evidence, techno-economic analysis, and operating condition coverage meet the journal's editorial standard before you upload.

Editors consistently screen submissions against these patterns before sending to peer review, so addressing them before upload reduces desk-rejection risk.