Unit 2: Data Analytics in Energy and Business Management
I. Foundational Concepts
A. Key Definitions
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Energy Conservation: Reducing energy consumption by avoiding unnecessary usage.
Example: Switching off lights when not needed.*
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Energy Efficiency: Using less energy to perform the same task or function.
Example: Replacing an incandescent bulb with an LED bulb for the same lighting output.*
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Energy Benchmarking: Comparing a facility's energy performance against a standard or similar facilities to identify improvement potential.
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Energy Cost: The total monetary expenditure on energy procurement and use.
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Energy Performance: A measure of how efficiently energy is used, often expressed as a ratio of useful output to energy input.
B. Energy Policy and Regulations
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Energy Conservation Act, 2001:
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Highlights: Established Bureau of Energy Efficiency (BEE); mandates energy managers/auditors; prescribes energy norms for industries.
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Focus Areas: Industries, commercial buildings, and energy-intensive establishments.
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Power Distribution: Gives BEE authority to enforce compliance, set standards, and promote efficient use.
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Availability-Based Tariff (ABT):
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A pricing mechanism for electricity that links tariffs to the availability (capacity) of the generator and the time of use.
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Components: Fixed charges (capacity-based), energy charges (variable), and reactive energy charges (for low power factor).
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Renewable Purchase Obligation (RPO):
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Meaning: Mandatory requirement for entities (discoms, captive users) to purchase a specified percentage of their electricity from renewable sources.
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Compliance Methods: Direct purchase from renewable developers, purchase of Renewable Energy Certificates (RECs), or banking of renewable energy.
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C. Energy Policy Planning and Action Planning
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Energy Policy Planning: The process of defining long-term goals, strategies, and actions for secure, affordable, and sustainable energy supply and use.
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Key Elements: Goal setting, resource assessment, technology options, regulatory framework, financing mechanisms, implementation roadmap.
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Force Field Analysis:
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Concept: A framework to analyze forces for (driving) and against (restraining) a proposed change.
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Application: Used in energy action planning to identify and strengthen driving forces (e.g., cost savings) while weakening restraining forces (e.g., capital cost) to achieve a desired energy-saving goal.
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[!TIP] Exam Focus: Distinguish conservation (behavioral reduction) from efficiency (technological improvement). ABT's three components and RPO's compliance routes are high-frequency.
II. Energy Management and Audit
A. Energy Manager
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Roles: Lead energy conservation efforts; coordinate audits; implement projects.
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Duties: Prepare energy policy; monitor consumption; train staff; ensure regulatory compliance.
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Responsibilities: Report to top management; achieve targets; maintain records.
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Qualifications: As per EC Act 2001 – Graduate in engineering/architecture with experience, or equivalent.
B. Types of Energy Audit
| Feature | Preliminary Energy Audit | Detailed Energy Audit |
|---|---|---|
| Scope | Walk-through, quick assessment | In-depth, comprehensive study |
| Data | Limited, utility bills, visual | Extensive, measurements, logs |
| Output | List of obvious opportunities | Detailed report with calculations, proposals, ROI |
| Cost | Low | High |
| Depth | Identifies "low-hanging fruits" | Identifies all technical & economic potentials |
C. Detailed Energy Audit Methodology (Ten-Step)
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Planning & Preparation: Define scope, team, schedule.
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Pre-Audit Data Collection: Review historical data, process flow diagrams.
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On-site Survey & Data Collection: Measure parameters, inspect equipment.
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Detailed Data Analysis: Calculate baseline consumption, perform material/energy balances.
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Identify Conservation Opportunities: List all potential measures.
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Technical Feasibility Study: Assess technical viability of each measure.
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Economic Analysis: Calculate Simple Payback, NPV, IRR for each measure.
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Report Preparation: Compile findings, recommendations, action plan.
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Presentation to Management: Get approval and commitment.
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Implementation & Follow-up: Execute projects and monitor savings.
D. Pre-Audit Phase Focus Areas
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Collect 12-24 months of energy bills (electricity, fuel).
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Obtain process flow diagrams (PFD) and equipment lists.
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Understand production schedules and capacity utilization.
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Identify major energy-consuming equipment/areas.
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Review previous audit reports and action taken.
E. Energy Audit Instruments
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List: Power analyzer, infrared thermometer, stroboscope, flue gas analyzer, flow meters, lux meter, anemometer, tachometer, data logger.
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Detailed:
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Infrared Thermometer: Measures surface temperature non-contact. Used to detect insulation failures, overheating bearings, steam leaks.
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Stroboscope: Measures rotational speed (RPM) of rotating machinery (motors, fans, pumps) without contact. Essential for checking actual vs. rated speed.
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F. Energy Management Information System (EMIS)
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Purpose: To continuously monitor, analyze, and report energy consumption data for performance tracking and decision-making.
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Components: Data acquisition (meters/sensors), communication network, database/software for storage & analysis, reporting/visualization dashboards, alarm systems.
[!TIP] Exam Focus: Ten-step audit methodology and instrument functions (especially stroboscope for RPM, IR thermometer for hotspots) are frequently asked.
III. System-Specific Energy Efficiency
A. Electric Motors
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Five Power Loss Areas & Improvement:
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Stator Losses (I²R): Use higher-grade silicon steel, optimize design.
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Rotor Losses (I²R): Use good conductor (copper) bars, proper design.
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Core Losses (Hysteresis & Eddy): Use thin, high-grade laminations.
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Friction & Windage: Use high-quality bearings, aerodynamic design.
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Stray Load Losses: Improve manufacturing quality, design.
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Energy-Efficient Motors: Designed with better materials (e.g., more steel, copper) and tighter tolerances to meet higher efficiency standards (e.g., IE3, IE4).
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Effect of Loading: Efficiency peaks at ~75-100% of rated load. At low loads (<50%), efficiency drops significantly due to constant core/friction losses becoming dominant.
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Steps for Underloaded Motors: Replace with right-sized motor; use premium efficiency motors; implement VFDs for variable load applications.
B. Boilers and Steam Systems
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Efficiency vs. Evaporation Ratio:
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Boiler Efficiency: (Heat utilized for steam / Heat supplied by fuel) × 100%. Measures thermal performance.
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Evaporation Ratio (or Steam Generation Ratio): (Mass of steam generated / Mass of fuel consumed). A practical operational indicator.
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Difference: Efficiency is a thermodynamic measure; evaporation ratio is an operational metric. High evaporation ratio generally indicates good efficiency.
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Direct Testing Method (Boiler Efficiency):
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Measure fuel consumption rate.
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Measure steam generation rate, pressure, temperature.
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Measure feedwater temperature and flow.
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Analyze flue gas composition & temperature.
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Calculate heat input, heat output, and efficiency using formula:
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$$ \eta = \frac{\dot{m}_s (h_s - h_f)}{\dot{m}_f \cdot CV} \times 100\% $$
where $$\displaystyle \dot{m}_s $$ = steam flow, $$\displaystyle h_s $$, $$\displaystyle h_f $$ = enthalpies, $$\displaystyle \dot{m}_f $$ = fuel flow, $CV$ = calorific value.
* **Sketch:** DiagramCANVAS: Simple boiler schematic showing fuel inlet, combustion chamber, flue gas outlet, steam drum, water inlet, steam outlet, with key measurement points (T, P, flow) labeled.
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Steam Traps: Automatic valves that discharge condensate and non-condensable gases while preventing steam leakage.
- Thermostatic Steam Trap (e.g., Bimetallic): Uses a bimetallic element that expands with temperature. Opens when condensate is cooler (below saturation), closes when steam (hotter) arrives.
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Energy Conservation in Steam Turbines: Improve steam quality (dryness fraction); optimize inlet steam pressure/temperature; reduce exhaust pressure (better condenser vacuum); minimize throttling losses; use multi-stage extraction for process needs.
C. HVAC Systems
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Energy Conservation Tips:
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Optimize thermostat settings (summer: 24-26°C, winter: 20-22°C).
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Regular maintenance (clean coils, filters).
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Use economizer cycles (use outdoor air for cooling when suitable).
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Improve building envelope (insulation, shading).
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Use variable speed drives (VSDs) on fans/pumps.
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Lower Evaporator Temperature & Power: For a given cooling load, lowering evaporator temperature increases the refrigeration effect per kg of refrigerant but decreases the volumetric efficiency of the compressor (higher pressure ratio). Net effect: increases compressor work and power consumption.
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Domestic AC Energy-Saving Measures:
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Select correct capacity (tonnage) for room size.
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Keep filters clean.
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Use "dry" mode in humid conditions.
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Ensure proper insulation of refrigerant piping.
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Use ceiling fans to improve air circulation.
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D. Lighting Systems
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Five Energy Management Opportunities:
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Replace incandescent/fluorescent with LED lamps.
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Use occupancy sensors (PIR) in infrequently used areas.
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Install daylight sensors for artificial lighting control.
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Optimize lighting levels (lux) as per task requirement.
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Regular cleaning of luminaires and reflectors.
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E. Transportation Systems
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Energy Conservation:
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Vehicle Level: Maintain proper tire pressure; reduce idling; regular engine tune-up; use fuel-efficient engines (diesel, hybrid, electric).
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Operational Level: Optimize routes; improve load factor (avoid empty trips); use larger capacity vehicles; promote car-pooling/public transport.
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Logistical Level: Shift to rail/waterways for bulk transport; intermodal freight.
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F. Thermal Insulation
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Principles: Reduce heat transfer by conduction, convection, and radiation. Use materials with low thermal conductivity ($k$). Increase insulation thickness. Ensure continuity and proper installation.
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Five Insulation Materials with Specifications:
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Mineral Wool: $k$ = 0.03-0.04 W/m·K, fire-resistant, for pipes/boilers.
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Calcium Silicate: $k$ = 0.05-0.07 W/m·K, rigid, high-temperature service.
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Expanded Polystyrene (EPS): $k$ = 0.03-0.04 W/m·K, for buildings/cold storage.
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Polyurethane Foam (PUF): $k$ = 0.02-0.03 W/m·K, high insulation value, for roofs/cold pipes.
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Ceramic Fiber: $k$ = 0.1-0.2 W/m·K at high T, for furnaces (>1000°C).
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G. Waste Heat Recovery Systems (WHRS)
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Direct Benefits: Recovered heat used for process heating, preheating fluids/air, power generation (ORC, steam), reducing primary fuel consumption.
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Indirect Benefits: Reduced emissions (CO₂, NOx), lower operating costs, increased productivity, extended equipment life.
H. Fluidized Bed Combustion (FBC)
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Definition: A combustion process where solid fuel (coal, biomass) is suspended in an upward-moving bed of inert material (sand, limestone) by primary air, creating a fluid-like state.
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Applications: Power generation (small/medium plants), industrial boilers, waste-to-energy, efficient burning of low-grade fuels and biomass.
I. Solar Water Heating Systems
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Thermal Energy Enhancement Techniques:
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Use selective coating on absorber plate (high absorptance, low emittance).
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Evacuated tube collectors for lower heat loss.
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Increase collector area/flow rate optimization.
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Proper insulation of storage tank and pipes.
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Use of tracking systems to follow the sun.
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J. Heat Pumps
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Principle: Transfers heat from a low-temperature source (e.g., ambient air, ground, water) to a higher-temperature sink (e.g., building) using mechanical work (compressor), based on the reversed Carnot cycle. COP (Coefficient of Performance) = Heat Output / Work Input.
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Applications: Space heating/cooling, water heating, industrial drying, refrigeration.
K. Electrical Energy Management
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Maximum Demand: The highest average power (kVA or kW) consumed over a specified interval (usually 15-30 min) during a billing period. Forms basis for demand charges.
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Effects of Low Power Factor: Increased current for same real power → higher I²R losses, reduced system capacity, higher voltage drop, penalty charges from utility.
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Methods to Control Maximum Demand:
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Shift non-essential loads to off-peak hours.
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Use load-shedding schedules.
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Install energy storage systems.
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Implement demand-side management programs.
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Power Factor Correction:
- KVAR Calculation: For improving PF from $$\displaystyle \cos \phi_1 $$ to $$\displaystyle \cos \phi_2 $$:
$$ \text{KVAR}_{\text{req}} = P \left( \tan \phi_1 - \tan \phi_2 \right) $$
where $P$ is real power (kW).
* **Savings:** Reduction in demand charges (if billed in kVA) and energy charges (due to reduced losses and possible incentive for high PF).
L. Building Energy Management
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Strategies: Integrated design; use of energy modeling; high-performance envelope; efficient HVAC & lighting; renewable integration; smart controls/BMS.
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Systems: Building Management System (BMS), Energy Monitoring System, occupancy sensors, automated shading, daylight harvesting controls.
[!TIP] Exam Focus: Motor loading effect, boiler efficiency vs. evaporation ratio, lower evaporator temp effect on AC power, PF correction formula, and WHRS benefits are critical numerical/theory areas.
IV. Quantitative Analysis in Energy and Business
A. Material and Energy Balances
- Conservation Principle: For a steady-state process with no accumulation:
$$ \text{Input} = \text{Output} + \text{Consumption/Generation} $$
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Mixing Problem (No Accumulation):
Let $$\displaystyle F_1 $$, $$\displaystyle C_1 $$ = flow rate and concentration of stream 1; $$\displaystyle F_2 $$, $$\displaystyle C_2 $$ for stream 2; $$\displaystyle F_o $$, $$\displaystyle C_o $$ for output.
Mass Balance: $$\displaystyle F_1 + F_2 = F_o $$
Component Balance: $$\displaystyle F_1 C_1 + F_2 C_2 = F_o C_o $$
Example from Paper: 10% solids (5 kg/s) mixed with 25% solids to get 20% output.
Solve: $$\displaystyle 5 + F_2 = F_o $$ and $$\displaystyle 5(0.10) + F_2(0.25) = F_o(0.20) $$ → $$\displaystyle F_2 = 10 $$ kg/s, $$\displaystyle F_o = 15 $$ kg/s.
B. Heat Transfer Calculations
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Cooling Calculation (Furnace Shell):
Heat lost by furnace shell = Heat gained by water (no loss).
$$ Q = m_s c_s \Delta T_s = m_w c_w \Delta T_w $$
Given: $$\displaystyle m_s = 2000 $$ kg, $$\displaystyle c_s = 0.2 $$ kcal/kg°C, $$\displaystyle \Delta T_s = 90-55 = 35°C $$.
$$\displaystyle c_w = 1 $$ kcal/kg°C, $$\displaystyle \Delta T_w = 5°C $$.
$$ m_w = \frac{m_s c_s \Delta T_s}{c_w \Delta T_w} = \frac{2000 \times 0.2 \times 35}{1 \times 5} = 2800 \text{ kg} $$
\boxed{m_w = 2800 \text{ kg}}
C. Sankey Diagrams
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Explanation: A flow diagram where the width of the arrow is proportional to the quantity of energy/material flowing. It visually represents inputs, outputs, useful outputs, and losses/rejections.
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Example: A boiler's Sankey diagram would show fuel energy input (wide arrow), steam output (narrower arrow), flue gas loss, radiation loss, ash loss (all smaller-width arrows). Total input width = sum of all output widths.
D. Financial Analysis Tools
- Simple Payback Period (SPP): Time required for cumulative savings to equal initial investment.
$$ \text{SPP} = \frac{\text{Initial Investment}}{\text{Annual Net Savings}} $$
*Example:* Investment = Rs. 75 lakh, Annual Savings = Rs. 30 lakh, Annual O&M = Rs. 5 lakh → Net Savings = 25 lakh → SPP = 75/25 = 3 years. \boxed{\text{SPP} = 3 \text{ years}}
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Net Present Value (NPV): Sum of present values of all cash inflows and outflows over project life, discounted at a chosen rate (hurdle rate). Importance: Considers time value of money; positive NPV indicates value-adding project.
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SPP vs. NPV: SPP is simple, ignores time value of money & cash flows beyond payback. NPV is comprehensive, considers all cash flows & time value.
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Break-Even Point (BEP): Level of sales/output where total revenue = total cost (no profit/no loss).
$$ \text{BEP (units)} = \frac{\text{Fixed Costs}}{\text{Contribution per unit}} $$
$$ \text{BEP (Rs.)} = \frac{\text{Fixed Costs}}{\text{PV Ratio}} $$
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Operating & Financial Leverage:
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Operating Leverage: Sensitivity of operating profit (EBIT) to change in sales. High fixed costs → high operating leverage → higher business risk.
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Financial Leverage: Sensitivity of EPS to change in EBIT. Use of debt → high financial leverage → higher financial risk.
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Fund Flow vs. Cash Flow Statement:
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Fund Flow: Shows changes in working capital (current assets - current liabilities) between two periods. Based on accrual accounting.
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Cash Flow: Shows actual cash inflows and outflows during a period. Focuses on liquidity.
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Financial Ratio Analysis (Key Ratios):
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Liquidity: Current Ratio, Quick Ratio.
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Profitability: Gross Profit Margin, Net Profit Margin, Return on Investment (ROI).
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Solvency: Debt-Equity Ratio, Interest Coverage Ratio.
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Efficiency: Inventory Turnover, Receivables Turnover.
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Allowances in Standard Costing: Necessary to account for normal, unavoidable inefficiencies.
- Types: Idle time allowance, fatigue allowance, personal time allowance, delay allowance, material waste allowance.
[!TIP] Exam Focus: Mixing and cooling calculations are guaranteed. Master the formulas for SPP, BEP, PF correction, and NPV concept vs. SPP. Know the difference between fund flow and cash flow.
V. Performance Monitoring and Evaluation
A. CUSUM Analysis
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Define Target/Expected Performance: Establish baseline energy consumption model (e.g., against production, temperature).
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Collect Actual Data: Regularly record actual consumption.
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Calculate Deviations: $$\displaystyle C_i = \text{Actual}_i - \text{Expected}_i $$.
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Compute Cumulative Sum: $$\displaystyle S_i = S_{i-1} + C_i $$ (with $$\displaystyle S_0=0 $$).
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Plot CUSUM Chart: $$\displaystyle S_i $$ vs. time/period. A sustained drift upward indicates persistent positive deviation (waste); downward indicates savings.
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Set Decision Intervals (V-Mask): To detect significant shifts statistically.
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Interpret: Identify points where $$\displaystyle S_i $$ crosses control limits → signal of performance change.
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Investigate Causes: When a signal occurs, find root cause (e.g., equipment fault, operational change).
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Take Corrective Action: Fix the problem.
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Update Model: If permanent change, adjust baseline model.
B. Sensitivity and Risk Analysis
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Sensitivity Analysis: "What-if" analysis to determine how changes in key assumptions (e.g., fuel price, savings) affect project economics (NPV, SPP). Identifies critical variables.
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Risk Analysis: Quantifies the probability and impact of adverse events (e.g., equipment failure, policy change). Uses techniques like Monte Carlo simulation, scenario analysis.
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Application: Used in energy project evaluation to assess robustness under uncertainty.
C. Monitoring, Targeting, and Reporting (MTR)
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Rationale: To create a structured, ongoing process for managing energy performance, moving beyond one-time audits.
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Benefits: Sustains savings, engages staff, provides early warning of deviations, supports continuous improvement, demonstrates management commitment.
D. Data and Information Analysis
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Methods: Descriptive statistics (mean, variance), regression analysis (relate energy to drivers), time series analysis, benchmarking, data mining.
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Importance: Transforms raw meter data into actionable insights; identifies trends, anomalies, and savings opportunities; validates audit findings.
E. Pump System Analysis
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Pump Head-Flow Characteristics: Curve showing Head ($H$) vs. Flow rate ($Q$) for a pump at constant speed. Head decreases as $Q$ increases.
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System Resistance Curve: Represents total head required by the system (friction + static head) as a function of flow. $$\displaystyle H_{sys} = H_{static} + K Q^2 $$ (for turbulent flow).
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Operating Point: Intersection of pump curve and system curve. Determines actual $Q$ and $H$.
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Sketch:
DiagramCANVAS: Graph with X-axis = Flow (Q), Y-axis = Head (H). Plot a downward-sloping pump curve. Plot an upward-sloping parabolic system curve starting from static head on Y-axis. Mark intersection as operating point. Show how changing system resistance (e.g., throttling valve) shifts curve, or changing pump speed shifts pump curve.
[!TIP] Exam Focus: CUSUM steps (at least 5) and pump characteristic sketch with system curve are specific, high-mark questions. Understand MTR's role in sustaining savings.
VI. Entrepreneurship and Business Management
A. Systems Theory and Models
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System & Elements: A set of interrelated components working together to achieve a goal. Elements: Inputs, Process, Outputs, Feedback, Environment, Boundaries.
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Steven Alter's Nine-Element Work System Framework:
DiagramCANVAS: Nine interconnected boxes: Customers, Products/Services, Processes and Activities, Participants, Information, Technologies, Physical Environment, Management & Organization, External Environment. -
IPO (Input-Process-Output) Model: Basic system model.
Inputs (resources) → Process (transformation) → Outputs (goods/services). Feedback loops from output to input/process.
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Law of Requisite Variety: A system's control mechanism must have at least as much variety (complexity, response options) as the environment it seeks to regulate to be effective.
B. Behavioral Sciences and Motivation Theories
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Maslow's Need Hierarchy (Pyramid):
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Physiological (food, water)
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Safety (security, health)
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Social (belonging, love)
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Esteem (status, recognition)
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Self-Actualization (fulfilling potential)
Example: A worker strikes for better wages (physiological/safety) before seeking promotion (esteem).
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Herzberg's Two-Factor Theory:
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Hygiene Factors (dissatisfiers if absent): Salary, job security, working conditions, company policies. Their presence prevents dissatisfaction but doesn't motivate.
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Motivators (satisfiers): Achievement, recognition, work itself, responsibility, growth. Their presence creates satisfaction and motivation.
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Stress Management Methods: Time management, exercise/meditation, counseling, job redesign, social support, relaxation techniques.
C. Organizational Structure and Decision Making
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Types of Org Structure:
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Functional: Grouped by function (production, marketing). Pros: specialization. Cons: silos, slow response.
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Divisional: Grouped by product, region, or customer. Pros: focus, accountability. Cons: duplication.
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Matrix: Dual reporting (functional & project). Pros: flexibility, resource sharing. Cons: conflict, power struggle.
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Flat/Horizontal: Few management layers. Pros: fast communication. Cons: span of control issues.
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Steps in Management Decision Making:
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Identify/define the problem.
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Gather relevant information/data.
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Identify alternatives.
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Evaluate alternatives (against criteria).
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Select best alternative.
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Implement decision.
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Monitor and evaluate results (feedback).
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D. Manufacturing and Operations Management
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Types of Manufacturing Systems:
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Job Shop: Custom, low volume, high variety (e.g., shipbuilding).
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Batch: Groups of identical items, medium volume/variety (e.g., bakery).
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Mass/Assembly Line: High volume, low variety (e.g., automobiles).
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Continuous: 24/7, very high volume, standardized (e.g., oil refining).
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Ops-Productivity Relationship: Operations management is directly responsible for productivity (output/input). Efficient ops → higher productivity → lower costs, competitive advantage.
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Just-in-Time (JIT): Philosophy to produce/replenish items just in time for use/sale. Aims to eliminate waste (inventory, waiting, defects). Requires reliable suppliers, setup time reduction, pull system (Kanban).
E. Marketing Management
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Marketing Definition: Process of creating, communicating, delivering, and exchanging offerings that have value for customers, clients, partners, and society.
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4P's (Marketing Mix):
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Product: What you sell (features, quality, branding).
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Price: What you charge (pricing strategy, discounts).
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Place (Distribution): How you deliver (channels, logistics).
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Promotion: How you communicate (advertising, sales promo, PR).
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Role of 4P's in Social Marketing: Adapting 4Ps to promote social causes (e.g., product = healthy behavior; price = time/effort cost; place = access to services; promotion = awareness campaigns).
F. Strategic Management Tools
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SWOT Analysis: Assessment of internal Strengths, Weaknesses and external Opportunities, Threats.
Example: Strength: skilled workforce; Weakness: old machinery; Opportunity: govt. subsidy for solar; Threat: rising fuel prices.*
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BCG Matrix (Growth-Share Matrix): Portfolio planning tool for SBUs/products.
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Stars: High growth, high market share (invest).
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Cash Cows: Low growth, high share (milk for cash).
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Question Marks: High growth, low share (selective investment).
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Dogs: Low growth, low share (divest/harvest).
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Force Field Analysis: (See I.C) Used to plan and manage change by analyzing driving and restraining forces.
G. Entrepreneurship Development
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Entrepreneurial Theories: Schumpeter (innovation), McClelland (need for achievement), Knight (risk-bearing).
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Types of Entrepreneurs: Innovative, imitative, fabian, drone.
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Business Ownership Types:
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Sole Proprietorship: Single owner, unlimited liability.
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Partnership: Two or more, shared liability (unlimited in general).
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Company (Pvt./Public): Separate legal entity, limited liability.
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Cooperative: Member-owned, service-oriented.
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Entrepreneur Development Programs (EDPs) in India: Conducted by EDII (Ahmedabad), NIESBUD, state-level agencies, engineering colleges (often through E-Cells or Technology Business Incubators). Focus on training, mentorship, incubation.
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MSME (Micro, Small & Medium Enterprises): Defined by investment & turnover (as per MSME Act). Government support: subsidies, credit guarantee, technology upgradation, marketing assistance (via Ministry of MSME, SIDBI, KVIC, NSIC).
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Sources of Funds & Agencies:
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Sources: Personal savings, family/friends, bank loans (term, working capital), venture capital, angel investors, crowdfunding, bootstrapping.
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Agencies: Banks (PSBs, Pvt.), SIDBI, MUDRA Bank, VC funds, Angel Networks, State Finance Corporations, Credit Guarantee Fund Trust.
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[!TIP] Exam Focus: Maslow vs. Herzberg, SWOT/BCG/Force Field explanations, business ownership types, EDPs/MSME specifics, and sources of funds are core entrepreneurship topics.
VII. Quality and Process Improvement
A. Six Sigma
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Use in Management Process: DMAIC framework (Define, Measure, Analyze, Improve, Control) for process improvement. Uses data-driven decision making.
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Quality Metrics: Defects Per Million Opportunities (DPMO), Sigma Level ($\sigma$). 3.4 DPMO = 6σ quality.
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Objectives in TQM: Reduce variation, eliminate defects, improve customer satisfaction, reduce costs.
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Impact on Quality of Life: By improving product/service reliability and reducing waste/costs, it enhances customer satisfaction, employee morale, and environmental sustainability.
B. Total Quality Management (TQM)
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Principles: Customer focus, leadership, engagement of people, process approach, improvement, evidence-based decision making, relationship management.
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Implementation: Top management commitment; training; quality circles; continuous improvement (Kaizen); benchmarking; use of PDCA (Plan-Do-Check-Act) cycle.
VIII. Applied Problem Solving and Case Studies
A. Linear Programming for Resource Optimization
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Example (Toy Production):
Let $x$ = units of P, $y$ = units of Q.
Maximize Profit: $$\displaystyle Z = 3x + 5y $$
Constraints:
Time: $x + 2y \le 20000$ (Q takes twice time of P)
Material: $x + y \le 1500$
Switch: $y \le 600$
$x, y \ge 0$
Solve graphically or simplex. Optimal: $$\displaystyle x=900 $$, $$\displaystyle y=600 $$, Max Profit = Rs. 5700.
B. Power Factor Correction Calculations
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Example (From May 2023 Paper):
Contract Demand = 5000 kVA, Min Billable = 75% of 5000 = 3750 kVA.
Avg MD = 3850 kVA @ 0.95 PF.
Demand Charge Savings:
Current MD charge = 3850 × 500 = Rs. 19,25,000/month? Wait, bill is on billed MD.
Actual billed MD = max(Actual MD, 75% Contract) = max(3850, 3750) = 3850 kVA.
After PF correction to 1.0, MD in kVA = kW / PF. kW = kVA × PF = 3850 × 0.95 = 3657.5 kW.
New MD (kVA) = 3657.5 / 1.0 = 3657.5 kVA.
But billed MD = max(3657.5, 3750) = 3750 kVA (since 3657.5 < 3750 min billable).
No reduction in demand component because new MD < min billable.
Energy Charge Savings:
Incentive: 0.5% reduction for every 0.01 increase PF over 0.95.
Increase = 1.0 - 0.95 = 0.05 → 5 steps of 0.01 → 5 × 0.5% = 2.5% incentive.
Monthly saving = 2.5% of Rs. 20,00,000 = Rs. 50,000.
Annual saving = 50,000 × 12 = Rs. 6,00,000.
KVAR Required:
$$\displaystyle P = 3657.5 $$ kW.
$$\displaystyle \tan \phi_1 = \tan(\cos^{-1}0.95) = 0.329 $$, $$\displaystyle \tan \phi_2 = \tan(0) = 0 $$.
$$\displaystyle KVAR = P (\tan \phi_1 - \tan \phi_2) = 3657.5 \times 0.329 \approx 1203 $$ KVAR.
\boxed{\text{Annual Energy Saving} = \text{Rs. 6,00,000}, \quad \text{KVAR}_{\text{req}} \approx 1203}
C. Other Numerical Problems
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Cooling Calculation: (See IV.B)
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Mixing Problem: (See IV.A)
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Payback Calculation: (See IV.D)
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Sankey Diagram: (See IV.C)