This form creates a comprehensive profile of your expertise in sustainable energy and power systems engineering. All information is confidential and used solely for professional networking and opportunity matching.
Full name
Preferred name/alias
Primary job title
Institution/Organisation
City/Region
E-mail address
Are you currently open to new project collaborations worldwide?
Select your primary areas of technical responsibility or research. Follow-up questions will adapt to your choices.
Which of the following best describe your core work? (tick all that apply)
Grid-connected renewable integration
Off-grid/micro-grid design
Energy storage system engineering
Power electronics & converters
Grid stability & control
Electrification of transport & heat
Carbon-neutral infrastructure planning
Policy & techno-economic analysis
Other:
Rate your proficiency in the following technical areas (1 = Basic, 5 = Expert):
Power flow analysis & load forecasting | |
Dynamic stability studies (transient & small-signal) | |
Protection coordination & arc-flash mitigation | |
Energy storage sizing & degradation modelling | |
HVDC/FACTS control | |
Power quality & harmonics | |
Cyber-security for power systems | |
Machine learning for predictive maintenance | |
Techno-economic optimisation (LCOE, NPV, IRR) |
Software & Tools
Which simulation/modelling environments do you actively use?
DIgSILENT PowerFactory
ETAP
PSCAD
MATLAB/Simulink
Python (Pandapower, PyPSA)
HOMER Pro
PVsyst
RETScreen
Other
Which power-hardware-in-the-loop (HIL) or controller-HIL platforms have you worked with?
Typhoon HIL
OPAL-RT
dSPACE
RTDS
NI LabVIEW
None yet
Years of professional experience in power or energy sectors
Number of renewable energy or storage projects you have led or technically supervised
Flagship Projects — Provide up to three representative projects
Project Name/Code | Year Completed | Capacity or Scale | Technology Focus | Key innovation / achievement | |
|---|---|---|---|---|---|
Do you have peer-reviewed publications or patents related to sustainable power systems?
Which stability challenge keeps you up at night the most?
Frequency response decline with high renewables
Voltage collapse risk
Subsynchronous resonance
Inertia reduction
Cyber-attack vulnerability
None at the moment
Rate the maturity of grid-forming inverter technology for large-scale deployment
Experimental
Pilot
Early commercial
Mature
Ready for ubiquitous use
Your preferred metric to quantify storage usefulness in grid services:
Energy-to-power ratio (h)
Cycle efficiency %
Levelised cost of storage (LCOS)
Stacked revenue streams ($/kW-year)
Battery cycle life (cycles)
How critical are the following storage applications for your projects (1 = Nice-to-have, 5 = Mission-critical):
Energy arbitrage/peak shaving | |
Frequency regulation (primary & secondary) | |
Voltage support/VAR compensation | |
Black-start capability | |
Renewable ramp smoothing | |
Post-fault transient support |
Lowest unsubsidised LCOE you have achieved for a new renewable project ($/MWh)
Which financing mechanism dominates your projects?
Power-purchase agreement (PPA)
Build-own-operate (BOO)
Public-private partnership (PPP)
Green bond/climate fund
Performance-based contract
Other
Have you integrated carbon pricing or avoided-emission credits into project cash-flows?
Which circular-economy strategies do you implement for end-of-life components?
Solar panel recycling
Wind blade material recovery
Battery second-life applications
Design for disassembly
Certified take-back schemes
Not yet considered
On a 1–10 scale (1 = Low / Exploratory, 10 = Critical / Immediate), how urgent is it for policy-makers to implement dynamic tariffs that reward flexible demand?
Which international standards do you apply for grid-connected renewable systems?
IEC 61727 (PV grid interface)
IEC 61400-21 (Wind grid code)
IEEE 1547 (Distributed resources)
IEC 62056 (Smart metering)
IEC 61850 (Substation automation)
ISO 50001 (Energy management)
Other
Have you conducted arc-flash hazard assessments for DC-side of solar or battery systems?
Your preferred insulation coordination philosophy for offshore wind collector systems:
IEC 60071 deterministic
Risk-based statistical approach
Experience-based tables
Hybrid approach
Describe a safety innovation you introduced that became a project or organisational standard (≤150 words):
Rate the expected impact of the following technologies on your work in the next 5 years
Low | Moderate | High | Transformative | |
|---|---|---|---|---|
AI-driven predictive maintenance | ||||
Digital twins of substations | ||||
Blockchain-enabled energy trading | ||||
Quantum computing for optimisation | ||||
Augmented-reality assisted field work | ||||
5G/6G time-critical communications |
Are you currently using cloud-native SCADA or cloud-edge hybrid control architectures?
What is the most under-utilised dataset in power systems that could revolutionise grid operations if unlocked?
Which professional bodies or associations are you active in?
IEEE PES
CIGRE
IET
AEE
ASHRAE
SEIA
WWEA
None at the moment
Do you mentor early-career engineers or students?
Rank your preferred modes of international collaboration (1 = Most preferred)
Joint research proposals | |
Standards development meetings | |
Technical webinars/knowledge sharing | |
Co-authored publications | |
Technology pilot projects |
What skills gap needs urgent attention to accelerate the energy transition?
Sustainable energy engineering carries global responsibilities. Please reflect on wider impacts.
Engineers should prioritise social justice alongside technical efficiency.
Strongly disagree
Disagree
Neutral
Agree
Strongly agree
Have you assessed the lifecycle biodiversity impact of a renewable project?
Describe a moment when ethical considerations reshaped your engineering decision:
I consent to the storage of my responses for the purpose of professional networking and future collaboration opportunities
I agree to anonymised insights being shared publicly to advance sustainable energy knowledge
Signature
Analysis for Sustainable Energy & Power Systems Engineering Profile
Important Note: This analysis provides strategic insights to help you get the most from your form's submission data for powerful follow-up actions and better outcomes. Please remove this content before publishing the form to the public.
This form excels at creating a comprehensive yet navigable profile for sustainable-energy engineers. Its sectional layout mirrors a career narrative—identity, core skills, project evidence, forward-looking insights—while progressive disclosure (conditional follow-ups) keeps cognitive load low. The meta-description and heading explicitly promise networking and opportunity matching, aligning user motivation with data requested. Mandatory fields are limited to identification and collaboration interest, reducing abandonment while still capturing enough detail for credible professional matching.
Another strength is the granular technical vocabulary: matrix ratings on subsynchronous resonance or arc-flash mitigation signal to specialists that the platform understands their niche, increasing data quality and user trust. Currency inputs (LCOE, USD/tCO₂e) and numeric project counts facilitate later analytics, benchmarking, and ranking algorithms. Finally, ethical-consent checkboxes and anonymised-insights sharing anticipate GDPR-style requirements and reassure privacy-minded respondents.
The purpose is unambiguous legal identification for contracts, NDAs, or consortium agreements common in large infrastructure deals. By keeping the field single-line and at the very start, the form accelerates the psychological commitment curve—once a user types their name, perceived sunk cost rises, boosting completion probability. From a data-stewardship angle, collecting a real name alongside organisation and e-mail enables downstream verification against LinkedIn or ORCID, raising profile trust scores for recruiters.
Design-wise, the absence of character limits or regex patterns keeps international names with diacritics or multiple surnames from being rejected, reducing friction. However, the form could still split “given” and “family” name for Asian users; the current free-text approach trades off structured analytics for inclusivity. Privacy implications are moderate: name plus organisation is personally identifiable information (PII), so encryption at rest and role-based access controls are mandatory.
This field feeds directly into search facets such as “Lead Engineer vs. Policy Analyst”, enabling algorithmic matching for tenders or speaking slots. The placeholder example (“Lead Power Systems Engineer”) subtly anchors respondents toward specificity, improving the signal-to-noise ratio compared with generic “Engineer” entries. Because it is mandatory, the form avoids the common database pollution of “N/A” entries that plague optional title fields.
From a user-experience lens, auto-suggest from a controlled vocabulary (e.g., INCOSE or IEEE taxonomy) could reduce typos while preserving the open-ended flavour. The data collected here will power faceted search, so normalisation during back-end ingestion is critical; otherwise “Sr. Engineer” and “Senior Engineer” fragment result sets. Overall, the question is low-friction, high-value, and aligns with the form’s stated purpose of building credible engineering profiles.
Capturing the employer or university name contextualises expertise—grid codes applied, funding mechanisms available, and regional regulatory familiarity. It also deters spam profiles because free-mail domains without an affiliated organisation raise suspicion. The broad phrasing accommodates utilities, start-ups, consultancies, and academia, supporting the form’s inclusive stance on career paths in the energy transition.
Because the field is mandatory, users cannot proceed anonymously; this aids due-diligence teams who later mine the database for EPC contractors or research partners. Nonetheless, the form should clarify in help-text whether “Independent Consultant” or “Self-Employed” is acceptable, preventing drop-off by freelancers who fear exclusion. Data-quality checks such as a known-institution look-up table would reduce misspellings without harming international respondents.
E-mail remains the universal identifier for professional platforms, password resets, and collaboration invitations. By making it mandatory, the platform guarantees a communication channel for every profile, aligning with the networking promise in the heading. The open-ended single-line format accepts both corporate and academic e-mails, preserving flexibility for global users whose domains may not match typical “.com” patterns.
Privacy-wise, the form should state clearly that e-mail will not be sold for marketing, only used for opportunity matching; otherwise GDPR consent may be invalid. A real-time syntax check plus MX-record lookup can instantly flag typos, reducing bounce rates during outreach campaigns. Overall, the question is indispensable for the form’s stated goal of “professional networking,” justifying its mandatory status.
This binary flag immediately segments passive browsers from active opportunity-seekers, enabling recruiters to filter profiles without reading free text. It also sets user expectations: respondents who select “No” are unlikely to receive unsolicited invitations, reducing complaint risk. The global scope (“worldwide”) signals that remote or international field work is possible, aligning with the transnational nature of renewable-energy tenders.
From a data-collection standpoint, the question yields a clean Boolean for predictive models estimating response likelihood. UX-wise, the yes/no toggle is faster than a Likert scale, minimising effort at the end of the first section when willpower may dip. Keeping it mandatory prevents nulls that would complicate matching algorithms, justifying the constraint without alienating users.
Experience tenure is a heuristic for seniority used by every HR department. By enforcing numeric input, the form avoids ambiguous text such as “significant” and enables range queries (“≥10 years”). The numeric sub-type also permits later analytics like median experience per technology focus, useful for industry reports or salary benchmarks.
Friction is low—users simply type a digit. However, the form should clarify whether internships, PhD research, or teaching count, preventing under- or over-reporting. Because the field is mandatory, the platform guarantees a minimum data point for credibility scoring, ensuring that profiles without experience cannot dilute search results aimed at expert collaboration.
This metric directly quantifies hands-on project exposure, distinguishing between managerial and purely academic paths. It supports the form’s engineering-focus narrative: someone with “0” projects may be a policy analyst, whereas “25+” signals seasoned EPC competence. The numeric constraint again facilitates aggregation, powering dashboards that showcase talent pools by region or technology.
Mandatory status compels honesty; otherwise users might skip the field to hide modest track records. The question could benefit from a tooltip defining “led or technically supervised” to reduce variance in interpretation. Overall, its mandatory nature is justified because it is a core indicator of practical impact in sustainable-energy systems.
Without this checkbox, processing personal data would violate most global privacy statutes. Making it mandatory ties submission to an explicit contract, strengthening the platform’s legal standing if disputes arise. The wording clarifies the purpose—networking and collaboration—so users understand the exchange of value.
UX best practice is satisfied by placing the checkbox immediately before the submit button, acting as a final gate. Because the form already collected e-mail and organisation, the consent must be granular enough; the current single checkbox is acceptable if the privacy policy covers all downstream uses. Keeping it mandatory is non-negotiable for compliance and risk mitigation.
Mandatory Question Analysis for Sustainable Energy & Power Systems Engineering Profile
Important Note: This analysis provides strategic insights to help you get the most from your form's submission data for powerful follow-up actions and better outcomes. Please remove this content before publishing the form to the public.
Full Name
Justification: A legal name is the primary anchor for identity verification, contract issuance, and professional credentials. It enables cross-referencing with publications, patents, or certifications, ensuring that the profile is trustworthy for recruiters and consortium partners. Without it, downstream activities such as NDAs or joint-venture agreements cannot proceed, undermining the form’s networking purpose.
Primary Job Title
Justification: Job title is the quickest proxy for role seniority and functional focus; it powers faceted search so that a utility looking for “Protection Engineers” can surface relevant talent instantly. Mandatory capture prevents ambiguous entries like “Engineer” that would degrade search precision and waste recruiter time, thereby safeguarding the platform’s value proposition.
Institution/Organisation
Justification: The organisation contextualises which grid codes, financing mechanisms, and regulatory frameworks the respondent has experienced—critical for project matching. It also deters spam profiles because anonymous or fictitious entries raise red flags during moderation. Keeping it mandatory ensures every profile has verifiable institutional backing, which is essential for high-stakes infrastructure collaborations.
E-mail Address
Justification: E-mail is the indispensable communication channel for password resets, collaboration invitations, and opportunity alerts. A mandatory, validated e-mail field guarantees deliverability and legal consent for contact, forming the backbone of the platform’s promised networking service. Without it, the platform cannot fulfil its stated goal of connecting professionals.
Openness to New Project Collaborations Worldwide
Justification: This Boolean flag immediately segments passive users from active candidates, enabling recruiters to filter with confidence. Making it mandatory eliminates null values that would complicate matching algorithms and ensures users set clear expectations about contact frequency, reducing complaint risk and preserving platform reputation.
Years of Professional Experience
Justification: Experience tenure is a universal metric for seniority and salary bands. A mandatory numeric entry enables analytics such as median experience per region or technology, which are valuable for industry reports and investor dashboards. It also prevents profile dilution by students or hobbyists who do not yet meet the expert-networking intent of the form.
Number of Renewable Projects Led or Supervised
Justification: This quantifies practical, hands-on impact, distinguishing seasoned project managers from researchers or policymakers. Mandatory disclosure ensures that every profile carries at least one verifiable indicator of field expertise, which is critical for EPC contractors or funders scouting proven delivery capability.
Consent to Storage
Justification: Under GDPR and similar statutes, processing personal data requires explicit, informed consent. A mandatory checkbox creates a legally binding audit trail that protects both the platform and the respondent. Without it, data collection would be unlawful, making this field non-negotiable.
The current strategy is well-balanced: only nine mandatory fields out of 60+ total, keeping cognitive load moderate while capturing the minimum viable dataset for credible professional matching. All mandatory questions cluster in sections where early abandonment would waste user time anyway, aligning with progressive-disclosure UX principles. To improve further, consider making the “Primary Job Title” field autosuggest from a controlled vocabulary to reduce synonym noise without increasing friction.
For optional fields that carry high analytical value—such as LCOE or arc-flash assessment—implement conditional mandatoriness: if a user selects “Carbon-neutral infrastructure planning,” require the LCOE field to ensure data richness where it matters most. Finally, provide real-time progress indicators (“80% complete—two optional fields left”) to nudge users toward fuller profiles without coercing them, thereby optimising both completion rate and data depth.