Design and analysis of micro solar power systems for wireless sensor networks
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Design and Analysis of Micro-Solar Power Systems for Wireless Sensor Networks. Jaein Jeong UC Berkeley, Computer Science with Xiaofan Jiang and David Culler. LGE Talk. 11-17-2006. 557 Trio node deployments in Richmond Field Station. Heliomote. Trio. Solar Energy Harvesting for WSN.

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Design and analysis of micro solar power systems for wireless sensor networks

Design and Analysis of Micro-Solar Power Systems for Wireless Sensor Networks

Jaein JeongUC Berkeley, Computer Sciencewith

Xiaofan Jiang and David Culler

LGE Talk


Solar energy harvesting for wsn

557 Trio node deployments Wireless Sensor Networksin Richmond Field Station



Solar Energy Harvesting for WSN

  • Energy harvesting is need for large-scale long-term deployment.

  • Several designs made for different requirements, but little analysis is done for an ultimate design.

Our contributions
Our Contributions Wireless Sensor Networks

  • Model for micro-solar power system.

  • Empirical and mathematical analysis on two leading designs (Heliomote and Trio).

  • Propose a design guideline for micro-solar power systems.

Organization Wireless Sensor Networks

  • System Architecture

  • Model for Each Component

    • Load: Sensor Node

    • External Environment

    • Solar Collector

    • Energy Storage

  • Comparative Study

    • Solar-Collector Operation

    • Energy flow and Energy efficiency

  • Conclusion

System architecture
System Architecture Wireless Sensor Networks

  • Evaluation Metrics

    • Effsolar = Pon / PmaxP

    • Effsystem = (EL1+ … + ELn + Econs) / Esol

Load sensor node estimating node consumption
Load (Sensor Node): Wireless Sensor NetworksEstimating Node Consumption

  • Energy consumption with radio comm:

    • Iest = R*Iawake + (1-R) * Isleep

External environment estimating solar radiation
External Environment: Wireless Sensor NetworksEstimating Solar Radiation

  • Statistical Model

  • Mathematical Model

Solar collector solar cell characteristics
Solar Collector: Wireless Sensor NetworksSolar-cell Characteristics

  • Solar-cell I-V curve

  • Regulator

Energy stroage
Energy Stroage Wireless Sensor Networks

  • Requirements:

    • Lifetime, Capacity, Current draw, Size/Weight

  • Types of storage:

    • NiMH: capacity and cost

    • Li+: energy density and capacity

    • Supercap: lifetime

  • Storage configuration:

    • Combination of battery and supercap provides good lifetime as well as capacity.

  • Charging mechanisms:

    • HW vs. SW, Complexity vs. Efficiency

Comparative study solar collector operation
Comparative Study: Wireless Sensor NetworksSolar-Collector Operation

  • Compare Pon with PmaxP

    • solar-cell operating point

    • maximum possible value

  • Trio

    • Pon – PmaxP = 4.83mW (5.3%)

  • Heliomote

    • Pon – PmaxP = -16.75mW (-23.2%)

Solar collector operation trio
Solar-Collector Operation: Trio Wireless Sensor Networks

Solar collector operation heliomote
Solar-Collector Operation: Heliomote Wireless Sensor Networks

Comparative study energy flow and efficiency
Comparative Study: Wireless Sensor NetworksEnergy flow and efficiency

  • Compare mote consumption (Econs) and stored energy (Ebat and Ecap) with solar energy income (Esol).

  • Trio: up to 33.4%, Heliomote: up to 14.6%

Energy flow and efficiency heliomote energy loss due to regulator
Energy flow and efficiency (Heliomote) Wireless Sensor Networks- Energy loss due to regulator

  • Solar energy income: 08:00 to 17:00.

  • Clipped after 12:00.

  • Two-third loss in daily energy income.

Insights from analysis
Insights from analysis Wireless Sensor Networks

  • Sensor node:

    • Dynamic duty-cycling for year-round operation.

    • Photo resistor or Coulomb meter for estimating season.

  • Environment:

    • Setting inclination is needed for higher solar radiation.

  • Solar collector:

    • Operating point for usable output is narrow.

    • Buffering solar-cell with supercap with correct charging and regulator parameters provides close match to maximum output power.

  • Energy storage:

    • Lifetime is primary objective.

    • Multi-level storage improves lifetime.