
SARK ENGINEERS & CONSULTANTS
Energy Audit Methodology
Engineering-Led, Data-Driven, Practically Implementable
At SARK Engineers & Consultants, our energy audit approach is designed to deliver measurable efficiency improvement, cost reduction, and regulatory compliance for industrial and infrastructure-intensive facilities.
Our methodology combines on-ground engineering assessment, structured data analysis, and AI-assisted decision support—used strictly under expert supervision—to ensure accuracy, consistency, and practical implementation.
How We Work
Audit Objective & Boundary Definition
Every energy audit begins with a clear definition of objectives, system boundaries, and compliance requirements.
This stage includes:
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Understanding plant operations and production patterns
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Identifying major energy-consuming systems
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Defining audit scope (electrical, thermal, utilities, processes)
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Aligning with statutory and internal reporting needs
Outcome:
A clearly documented audit scope with defined deliverables and success criteria.
Performance Benchmarking & Gap Analysis
System performance is benchmarked against:
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Industry best practices
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Design intent and rated efficiencies
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Applicable standards and norms
Benchmarking covers:
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Specific energy consumption (SEC)
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Equipment efficiency and loading
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Distribution and conversion losses
Outcome:
Quantified performance gaps with prioritisation based on impact and feasibility.
Reporting & Documentation
We deliver clear, regulator-ready, and management-friendly reports.
Deliverables typically include:
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Detailed technical audit report
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Executive summary for leadership
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Energy balance diagrams and calculations
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Implementation roadmap with prioritisation
AI-assisted reporting tools are used only to improve clarity, consistency, and turnaround time, while all reports are engineer-reviewed and approved.
Outcome:
Reports that support approvals, funding decisions, and execution.
On-Site Assessment & Measurement
Our consultants conduct detailed on-site inspections and measurements to capture actual operating conditions rather than relying only on design data.
Activities include:
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Equipment inspection (motors, boilers, compressors, chillers, pumps, utilities)
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Load profiling and operating-hour assessment
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Measurement of electrical, thermal, and process parameters
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Review of operating practices and control systems
Outcome:
Accurate, ground-truth energy consumption data.
Identification of Energy Conservation Measures (ECMs)
Based on analysis, we identify Energy Conservation Measures (ECMs) that are technically feasible and operationally practical.
ECMs may include:
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Operational improvements and control optimisation
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Equipment efficiency upgrades
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Heat recovery and waste energy utilisation
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Process optimisation and system redesign
Each ECM is evaluated for:
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Energy savings potential
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CAPEX and OPEX implications
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Implementation complexity and risk
Outcome:
A structured list of actionable energy-saving opportunities.
Implementation Support & Post-Audit Review
Where required, we provide implementation and validation support.
This may include:
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Technical clarifications during execution
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Vendor and contractor coordination support
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Post-implementation performance verification
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Fine-tuning of operating parameters
Outcome:
Sustained energy savings and operational improvement.
Data Validation & Energy Balance Development
Collected data is validated and structured into system-wise and plant-level energy balances.
This stage includes:
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Normalisation of data against production and operating conditions
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Development of electrical and thermal energy balances
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Identification of losses, inefficiencies, and deviation from benchmarks
AI-assisted analytical tools may be used at this stage to:
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Identify patterns across large datasets
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Detect anomalies and outliers
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Compare multiple operating scenarios efficiently
Outcome:
Clear visibility into where and how energy is consumed and lost.
Techno-Economic & Feasibility Analysis
All recommended measures undergo detailed techno-economic evaluation.
This includes:
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Energy and cost savings estimation
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Payback period and ROI analysis
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Sensitivity analysis for load and tariff variation
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Implementation prerequisites and constraints
AI-assisted scenario modelling may be used to assess alternate configurations; however, final recommendations are validated by experienced engineers.
Outcome:
Decision-ready recommendations aligned with client priorities.
Key Principles of Our Energy Audit Approach
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Engineering judgement drives every recommendation
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AI is used only as a decision-support tool
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Compliance, safety, and practicality are non-negotiable
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Solutions must deliver measurable results on-site
Proven at Scale
Our energy audit methodology has been successfully applied across 500+ energy audits globally, spanning manufacturing, process industries, utilities, and infrastructure facilities.