Microgrid Today Institute ā Microgrid Feasibility & Economics
A load study evaluates electricity demand over time for a facility, campus, or communityāensuring that a microgrid is sized according to actual operating conditions rather than assumptions.
Rather than relying on a single snapshot, a load study shows how electricity demand changes across hours, days, and seasonsārevealing peaks, patterns, and operational priorities that directly affect system sizing and cost.
Ensures that generation and storage systems can meet actual demandāespecially peak conditions and critical loads.
Connects energy demand to CAPEX/OPEX and supports payback analysis and operating strategy development.
Identifies which loads must remain energized during outages and supports islanding duration planning.
Key Load Metrics Explained
The highest level of power demand over a period.
Why it matters: Sets required capacity for generators, inverters, and infrastructureāaverage demand can miss critical peaks.
Typical demand over time.
Why it matters: Helps estimate energy production needs, fuel use, battery cycling, and operating costs.
Total electricity used (kWh) over a period.
Why it matters: Informs annual cost, renewable sizing, and long-term performance modeling.
Average load Ć· peak load.
Why it matters: Higher load factor = steadier demand and usually better economics; low load factor means sizing for infrequent peaks.
Shows how often different load levels occur.
Why it matters: Helps optimize generation + storage by revealing how frequent peaks really are.
Microgrid Today Institute ā Foundational Systems
Not all electrical loads carry equal operational importance. Within a Microgrid Today Institute framework, load classification defines how power is allocatedāespecially during islanded operation when resources are constrained.
Essential systems that must remain continuously powered to maintain life safety, operational continuity, or mission-critical functions.
Loads that can be curtailed or disconnected during constrained conditions without materially affecting safety or core operations.
Loads that can be dynamically scheduled, shifted, or modulated based on system conditions, supporting optimized dispatch and grid stability.
Microgrid Today Institute ā Load Study Inputs
Load studies within the Microgrid Today Institute framework typically rely on a combination of measured and estimated data. The quality and resolution of these inputs directly affect study accuracy and design confidence.
Monthly energy use and peak demand recordsāuseful for baseline understanding and preliminary load assessment.
Hourly or sub-hourly demand profiles that reveal the actual peaks driving system sizing and operational planning.
Building- or system-level visibility that helps identify load drivers and improve prioritization strategies.
Useful when metering is unavailableāloads are estimated using rated equipment power and assumed operating behavior.
Most applicable to new facilities or expansionsāexpected demand is modeled based on design assumptions and projected operations.
Utility bills provide a strong starting pointābut interval data and sub-metering reveal the demand patterns that most directly influence system sizing.
Microgrid Today Institute ā Load Study Accuracy
The level of detail within load data directly affects analytical quality. Resolution and study duration determine what a load study can accurately captureāand what critical system behavior may otherwise be missed.
Hourly and sub-hourly data reveals short-duration peaks that drive equipment sizing. Seasonal datasets show heating and cooling shifts. Multi-year records expose trends, anomalies, and long-term demand change.
Load Profile Preview
This visualization changes based on data resolution
Captures short-duration peaks that often determine generator, inverter, and battery capacity requirements.
Reflects heating and cooling swings, as well as changing operational patterns across the year.
Reveals long-term trends, anomalies, and growth signals that can affect microgrid performance over time.
Microgrid Today Institute ā Feasibility Analysis
Within microgrid feasibility analysis, load data serves as the core decision inputāinforming technology selection, right-sizing, cost modeling, and resilience strategy.
Feasibility models use the load profile to evaluate configurations and operating strategiesāensuring that proposed designs perform not only in theory, but also under real operating conditions.
Outcome: decisions grounded in data rather than assumptions.
Determine the appropriate balance between generation and storage technologies based on actual demand behavior.
Size system capacity to meet both peak demand and critical loadsāparticularly during islanded operation.
Link energy demand to equipment requirements, cycling patterns, and fuel inputs in order to forecast costs with greater confidence.
Determine how long critical loads can be sustained during outagesāand which loads should be curtailed first.
Microgrid Today Institute ā Common Pitfalls
Early-stage load studies often fail because of incomplete data, weak assumptions, or poor forecasting discipline. Below are the most common issuesāand the corrective actions that improve analytical accuracy and design confidence.
Problem
Teams rely on partial utility records, outdated equipment inventories, or mismatched data sources.
Fix
Collect consistent data from the same time period, preferably across 12 months, then verify equipment inventories and validate assumptions through walkthroughs or interval data.
ā Do this:
Problem
Too many loads are classified as ācritical,ā which unnecessarily increases system size and project cost.
Fix
Distinguish clearly between critical and non-critical loads, then confirm which loads must truly remain energized during outages.
ā Do this:
Problem
The system is designed only for current conditions and becomes undersized as operations evolve.
Fix
Include realistic growth projections, expansion plans, and foreseeable operational changes within the study basis.
ā Do this:
Problem
Average values conceal the actual stress points that occur during peak hours or high-demand seasons.
Fix
Size systems using peak demand and actual load profilesānot average energy use alone.
ā Do this:
Problem
Loads are assumed to run continuously even when actual operation is intermittent or cyclical.
Fix
Apply realistic runtime assumptions and operating schedules for each major load category.
ā Do this:
Problem
Motors and compressors draw high startup current and may destabilize or overload the system if not accounted for.
Fix
Include surge and inrush values when sizing inverters, storage systems, and backup generation assets.
ā Do this:
Problem
Studies omit inverter losses, wiring losses, and battery round-trip efficiency.
Fix
Apply realistic loss factors so modeled system performance more closely matches real operating outcomes.
ā Do this:
Problem
Teams group all equipment together, making results unclear and frequently leading to oversized designs.
Fix
Group loads by type and criticality to support clearer analysis and phased backup planning.
ā Do this:
Problem
The study depends too heavily on assumptions instead of measured operating data.
Fix
Validate assumptions using metering, data loggers, site observations, and operator confirmation.
ā Do this:
Problem
The engineering basis does not reflect how the facility actually operates.
Fix
Coordinate early with operations, finance, and leadership so the study reflects actual priorities and constraints.
ā Do this:
Microgrid Today Institute ā Collaboration & Governance
Effective load studies are built through coordinated collaborationānot by a single spreadsheet alone. Early engagement improves analytical accuracy, reduces avoidable surprises, and strengthens stakeholder alignment across the planning process.
Provide insight into day-to-day operations, site constraints, schedules, and what normal operating conditions actually look like.
Convert demand data into system requirementsāsizing generation, storage, and supporting electrical infrastructure.
Identify practical load priorities during outages and define what must remain energized during islanded operation.
Help ensure that technical decisions align with local needs, institutional priorities, and long-term resilience objectives.
Early-stage load studies support preliminary planning and feasibility analysis. They rely on available data and project assumptions that should be validated as the project advances.