Second Year Submitted by Real-time Energy-Harvesting Power-Conditioning System for an Urban-Farm Greenhouse Faculty Mentor: Problem Statement Community Context Urban-farm greenhouses connected to the grid face inefficient, non-resilient
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Presentation Transcript
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Second Year
Submitted by Real-time Energy-Harvesting & Power-Conditioning System for an Urban-Farm Greenhouse Faculty Mentor:<br>
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Problem Statement & Community Context Urban-farm greenhouses connected to the grid face inefficient, non-resilient power management — waste heat and renewable potential go unused.
Frequent grid fluctuations put climate-control and irrigation systems at risk, directly threatening crop yield and operating costs.
This is a real, present-day problem: energy inefficiency in urban agriculture is a live, ongoing challenge, not a hypothetical scenario.
Community context: urban-farm/greenhouse operators are a concrete, identifiable user group who stand to benefit from better energy visibility and management insights. How the problem chains together (qualitative) Grid fluctuation /
inefficient power use Climate control &
irrigation at risk Crop yield
loss Higher operating
cost Untapped opportunity: waste heat and solar potential go unused → target of the designed energy-harvesting system<br>
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Specific Objectives of Project /
Requirements of Organisation Design a complete energy-harvesting and power-conditioning architecture (TEG + solar array + storage) for a grid-connected greenhouse.
Implement and validate a real-time monitoring and control layer as a working proof-of-concept within the 1-semester timeline.
Demonstrate how live environmental and energy data can inform operational decisions inside the greenhouse.
Lay a documented technical foundation that supports full hardware implementation as future work. Objectives at a glance 1 Design energy-harvesting architecture Documented 2 Implement real-time monitoring layer Built 3 Demonstrate live data driving decisions Built 4 Lay foundation for full hardware future work Documented<br>
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SDG Mapping & Justification SDG 7 – Affordable and Clean Energy
Targets increased renewable and waste-heat energy use in agricultural operations, reducing grid dependency over time.
SDG 13 – Climate Action
Enables data-driven energy decisions that support lower-carbon, more resilient agriculture.
Justification
Greenhouse energy inefficiency is a real, present-day sustainability gap; a monitoring-first approach builds a measurable, SDG-aligned foundation for future energy-harvesting deployment. Goals addressed 7 SDG 7: Affordable & Clean Energy Energy data → smarter renewable use 13 SDG 13: Climate Action Monitoring → lower-carbon farming<br>
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Methodology and Tech Stack Designed Architecture (documented, not physically built)
Thermoelectric Generator (TEG) for waste-heat recovery
Solar panel array for renewable energy input
DC-DC power converter for output regulation
Energy Storage System (ESS) for load leveling and backup
Implemented Prototype (working build)
ESP32 microcontroller with built-in WiFi
DHT11/DHT22 temperature and humidity sensor
Python/Flask backend
SQLite database
Chart.js real-time dashboard Prototype tech stack by layer Sense DHT11 / DHT22 Transmit ESP32 + WiFi Process Python / Flask Store SQLite Visualise Chart.js<br>
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Prototype/Project Flow diagram/Architecture Designed System — Target Architecture (not physically built) Waste Heat TEG Solar PanelArray DC-DCConverter Energy StorageSystem (ESS) GreenhouseLoad Implemented Prototype — Data Flow (working build) Sensor(DHT11/DHT22) ESP32(WiFi) Flask Backend/ API SQLiteDatabase Real-TimeDashboard Alerts &Recommendations Designed — documented only, not physically built Implemented — working prototype Scope: the semester deliverable is the green data-flow; the grey system is the documented target design<br>
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Project Timeline (Semester Plan) Weeks 1–3: Finalize scope, order ESP32 + sensor, set up development environment
Weeks 4–7: Wire sensor to ESP32, establish WiFi data transmission, build Flask backend
Weeks 8–11: Build real-time dashboard, add threshold-based alerts and recommendations
Weeks 12–13: Deploy at a real test site, collect live field data
Weeks 14–16: Documentation, GitHub repository, demo video, final report 16-week plan (Gantt view) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Phase / Week Scope & setup Hardware + backend Dashboard & alerts Field deployment Docs, video, report<br>
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Data & Resources (if any) Hardware
ESP32 Dev Board, DHT11/DHT22 sensor, breadboard & jumper wires
Data Sources
Live sensor readings collected from the deployed test site
Public greenhouse climate reference data (used only as fallback/comparison) ≈ ₹470–600
total, one order
One shared setup for the whole team — no need for 5 boards
Prices are estimates; verify before buying<br>
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Project Usecases & Scope Real-time monitoring of greenhouse temperature and humidity
Automated threshold-based alerts (e.g., high temperature, low humidity)
Rule-based operational recommendations (e.g., ventilation, misting)
Historical trend visualization for planning and analysis
Out of scope this semester:
Physical energy-harvesting, conversion, and storage hardware (TEG, solar, DC-DC, ESS) Dashboard wireframe (illustrative layout — no real data) Temperature
— °C Humidity
— % RH Live graph area: temperature / humidity vs time Alert banner: threshold crossed Rule-based recommendation, e.g. ventilation / misting<br>
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Expected Results & Impact A functioning, deployed monitoring dashboard tracking live greenhouse conditions
Documented architecture for a full energy-harvesting system, ready for future implementation
Field-validated data collected from a real test site
Honest outcome:
This phase builds the data foundation for future energy autonomy — it does not yet reduce grid dependency Roadmap: what this semester delivers vs. later phases Phase 1 — this semester
Monitoring dashboard
+ field data Phase 2 — future
TEG + solar + DC-DC
+ ESS hardware Phase 3 — future
Reduced grid dependency
(SDG 7 / 13 impact)<br>