No Cover Image

E-Thesis 49 views

Development of Smart Systems for Testing and Utilizing Indoor Photovoltaic Generators in Internet of Things (IoT) Energy Harvesting Applications / ZAID HAYMOOR

Swansea University Author: ZAID HAYMOOR

  • E-Thesis – open access under embargo until: 12th December 2027

DOI (Published version): 10.23889/SUThesis.69251

Abstract

Indoor light energy harvesting presents a promising solution for powering low-energy devices, yet achieving consistent efficiency under variable lighting conditions remains a challenge. This thesis addresses the use of photovoltaic moduels for indoor environments, focusing on their testing, implemen...

Full description

Published: Swansea University, Wales, UK 2025
Institution: Swansea University
Degree level: Doctoral
Degree name: Ph.D
Supervisor: Carnie, M.
URI: https://cronfa.swan.ac.uk/Record/cronfa69251
first_indexed 2025-04-10T10:32:27Z
last_indexed 2025-04-11T05:22:34Z
id cronfa69251
recordtype RisThesis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2025-04-10T11:37:38.3881379</datestamp><bib-version>v2</bib-version><id>69251</id><entry>2025-04-10</entry><title>Development of Smart Systems for Testing and Utilizing Indoor Photovoltaic Generators in Internet of Things (IoT) Energy Harvesting Applications</title><swanseaauthors><author><sid>aa89253fef71cc0d7051116bfb784ea6</sid><firstname>ZAID</firstname><surname>HAYMOOR</surname><name>ZAID HAYMOOR</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2025-04-10</date><abstract>Indoor light energy harvesting presents a promising solution for powering low-energy devices, yet achieving consistent efficiency under variable lighting conditions remains a challenge. This thesis addresses the use of photovoltaic moduels for indoor environments, focusing on their testing, implementation, and integration. This work provides a literature review covering various energy harvesting sources, with an emphasis on light energy through photovoltaic (PV) cells. A comparative analysis was made to find the best practical characterisation methods for indoor PV modules. Thestructure and communication technologies relevant to low-power IoT systems were evaluated. A portable IoT source measure unit was designed for testing indoor photovoltaic modules and cells with the hardware and software explained in detail. Chapter two focuses on the circuit, PCB design, system architecture, and performance testing, comparing the IoT portable source measure unit (SMU) against standard laboratory equipment and assessing its reliability in long-term applications.Chapters three and four examine indoor PV technologies to assess their viability for energy harvesting in IoT applications, necessitating an analysis of energy-harvesting microchips and their specifications. A photovoltaic energy harvesting circuit board was developed through iterative design, culminating in a market-ready version. Additionally, a low-power LoRa transmission board was designed to facilitate energy-efficient data communication, resulting in a self-powered air quality and soil humidity sensor system.Through on-site testing and data processing, the long-term practical performance of indoor PV modules was evaluated, and actual and theoretical energy yields for commercially available PV modules were compared. An energy allowance prediction algorithm, developed and tested in MATLAB, enhances the reliability of energy management in IoT applications. Another setup was created to measure and compare the energy yield reported by the portable SMU with the actual energy delivered to a storage device.The findings demonstrate the feasibility of designing a portable, internet-connected indoor PV characterisation device. They further confirm the potential of indoor IoT devices to operate solely on available indoor light, provided that electronic components are optimised and energy management strategies are effectively employed. Indoor PV modules perform more efficiently than single cells of the same area, with electronic efficiency maximised when the storage element&#x2019;s voltage closely matches the maximum power point voltage. Future recommendations emphasise the optimisation of energy consumption and the expansion of IoT-powered systems for sustainable development.</abstract><type>E-Thesis</type><journal/><volume/><journalNumber/><paginationStart/><paginationEnd/><publisher/><placeOfPublication>Swansea University, Wales, UK</placeOfPublication><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic/><keywords>Energy Harvesting, Ambient Light, Renewable Energy, Source Measure Unit (SMU),Internet of Things (IoT), Self powered device, CO2 sensing</keywords><publishedDay>10</publishedDay><publishedMonth>2</publishedMonth><publishedYear>2025</publishedYear><publishedDate>2025-02-10</publishedDate><doi>10.23889/SUThesis.69251</doi><url/><notes>A selection of content is redacted or is partially redacted from this thesis to protect sensitive and personal information.</notes><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><supervisor>Carnie, M.</supervisor><degreelevel>Doctoral</degreelevel><degreename>Ph.D</degreename><degreesponsorsfunders>EPSRC-DTP Scholarship</degreesponsorsfunders><apcterm/><funders>EPSRC-DTP Scholarship</funders><projectreference/><lastEdited>2025-04-10T11:37:38.3881379</lastEdited><Created>2025-04-10T11:23:30.3433663</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering</level></path><authors><author><firstname>ZAID</firstname><surname>HAYMOOR</surname><order>1</order></author></authors><documents><document><filename>Under embargo</filename><originalFilename>Under embargo</originalFilename><uploaded>2025-04-10T11:30:33.5198181</uploaded><type>Output</type><contentLength>27661857</contentLength><contentType>application/pdf</contentType><version>E-Thesis &#x2013; open access</version><cronfaStatus>true</cronfaStatus><embargoDate>2027-12-12T00:00:00.0000000</embargoDate><documentNotes>Copyright: The Author, Zaid Haymoor, 2024 Distributed under the terms of a Creative Commons Attribution Non Commercial 4.0 License (CC BY-NC 4.0).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by-nc/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2025-04-10T11:37:38.3881379 v2 69251 2025-04-10 Development of Smart Systems for Testing and Utilizing Indoor Photovoltaic Generators in Internet of Things (IoT) Energy Harvesting Applications aa89253fef71cc0d7051116bfb784ea6 ZAID HAYMOOR ZAID HAYMOOR true false 2025-04-10 Indoor light energy harvesting presents a promising solution for powering low-energy devices, yet achieving consistent efficiency under variable lighting conditions remains a challenge. This thesis addresses the use of photovoltaic moduels for indoor environments, focusing on their testing, implementation, and integration. This work provides a literature review covering various energy harvesting sources, with an emphasis on light energy through photovoltaic (PV) cells. A comparative analysis was made to find the best practical characterisation methods for indoor PV modules. Thestructure and communication technologies relevant to low-power IoT systems were evaluated. A portable IoT source measure unit was designed for testing indoor photovoltaic modules and cells with the hardware and software explained in detail. Chapter two focuses on the circuit, PCB design, system architecture, and performance testing, comparing the IoT portable source measure unit (SMU) against standard laboratory equipment and assessing its reliability in long-term applications.Chapters three and four examine indoor PV technologies to assess their viability for energy harvesting in IoT applications, necessitating an analysis of energy-harvesting microchips and their specifications. A photovoltaic energy harvesting circuit board was developed through iterative design, culminating in a market-ready version. Additionally, a low-power LoRa transmission board was designed to facilitate energy-efficient data communication, resulting in a self-powered air quality and soil humidity sensor system.Through on-site testing and data processing, the long-term practical performance of indoor PV modules was evaluated, and actual and theoretical energy yields for commercially available PV modules were compared. An energy allowance prediction algorithm, developed and tested in MATLAB, enhances the reliability of energy management in IoT applications. Another setup was created to measure and compare the energy yield reported by the portable SMU with the actual energy delivered to a storage device.The findings demonstrate the feasibility of designing a portable, internet-connected indoor PV characterisation device. They further confirm the potential of indoor IoT devices to operate solely on available indoor light, provided that electronic components are optimised and energy management strategies are effectively employed. Indoor PV modules perform more efficiently than single cells of the same area, with electronic efficiency maximised when the storage element’s voltage closely matches the maximum power point voltage. Future recommendations emphasise the optimisation of energy consumption and the expansion of IoT-powered systems for sustainable development. E-Thesis Swansea University, Wales, UK Energy Harvesting, Ambient Light, Renewable Energy, Source Measure Unit (SMU),Internet of Things (IoT), Self powered device, CO2 sensing 10 2 2025 2025-02-10 10.23889/SUThesis.69251 A selection of content is redacted or is partially redacted from this thesis to protect sensitive and personal information. COLLEGE NANME COLLEGE CODE Swansea University Carnie, M. Doctoral Ph.D EPSRC-DTP Scholarship EPSRC-DTP Scholarship 2025-04-10T11:37:38.3881379 2025-04-10T11:23:30.3433663 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering ZAID HAYMOOR 1 Under embargo Under embargo 2025-04-10T11:30:33.5198181 Output 27661857 application/pdf E-Thesis – open access true 2027-12-12T00:00:00.0000000 Copyright: The Author, Zaid Haymoor, 2024 Distributed under the terms of a Creative Commons Attribution Non Commercial 4.0 License (CC BY-NC 4.0). true eng https://creativecommons.org/licenses/by-nc/4.0/
title Development of Smart Systems for Testing and Utilizing Indoor Photovoltaic Generators in Internet of Things (IoT) Energy Harvesting Applications
spellingShingle Development of Smart Systems for Testing and Utilizing Indoor Photovoltaic Generators in Internet of Things (IoT) Energy Harvesting Applications
ZAID HAYMOOR
title_short Development of Smart Systems for Testing and Utilizing Indoor Photovoltaic Generators in Internet of Things (IoT) Energy Harvesting Applications
title_full Development of Smart Systems for Testing and Utilizing Indoor Photovoltaic Generators in Internet of Things (IoT) Energy Harvesting Applications
title_fullStr Development of Smart Systems for Testing and Utilizing Indoor Photovoltaic Generators in Internet of Things (IoT) Energy Harvesting Applications
title_full_unstemmed Development of Smart Systems for Testing and Utilizing Indoor Photovoltaic Generators in Internet of Things (IoT) Energy Harvesting Applications
title_sort Development of Smart Systems for Testing and Utilizing Indoor Photovoltaic Generators in Internet of Things (IoT) Energy Harvesting Applications
author_id_str_mv aa89253fef71cc0d7051116bfb784ea6
author_id_fullname_str_mv aa89253fef71cc0d7051116bfb784ea6_***_ZAID HAYMOOR
author ZAID HAYMOOR
author2 ZAID HAYMOOR
format E-Thesis
publishDate 2025
institution Swansea University
doi_str_mv 10.23889/SUThesis.69251
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering
document_store_str 0
active_str 0
description Indoor light energy harvesting presents a promising solution for powering low-energy devices, yet achieving consistent efficiency under variable lighting conditions remains a challenge. This thesis addresses the use of photovoltaic moduels for indoor environments, focusing on their testing, implementation, and integration. This work provides a literature review covering various energy harvesting sources, with an emphasis on light energy through photovoltaic (PV) cells. A comparative analysis was made to find the best practical characterisation methods for indoor PV modules. Thestructure and communication technologies relevant to low-power IoT systems were evaluated. A portable IoT source measure unit was designed for testing indoor photovoltaic modules and cells with the hardware and software explained in detail. Chapter two focuses on the circuit, PCB design, system architecture, and performance testing, comparing the IoT portable source measure unit (SMU) against standard laboratory equipment and assessing its reliability in long-term applications.Chapters three and four examine indoor PV technologies to assess their viability for energy harvesting in IoT applications, necessitating an analysis of energy-harvesting microchips and their specifications. A photovoltaic energy harvesting circuit board was developed through iterative design, culminating in a market-ready version. Additionally, a low-power LoRa transmission board was designed to facilitate energy-efficient data communication, resulting in a self-powered air quality and soil humidity sensor system.Through on-site testing and data processing, the long-term practical performance of indoor PV modules was evaluated, and actual and theoretical energy yields for commercially available PV modules were compared. An energy allowance prediction algorithm, developed and tested in MATLAB, enhances the reliability of energy management in IoT applications. Another setup was created to measure and compare the energy yield reported by the portable SMU with the actual energy delivered to a storage device.The findings demonstrate the feasibility of designing a portable, internet-connected indoor PV characterisation device. They further confirm the potential of indoor IoT devices to operate solely on available indoor light, provided that electronic components are optimised and energy management strategies are effectively employed. Indoor PV modules perform more efficiently than single cells of the same area, with electronic efficiency maximised when the storage element’s voltage closely matches the maximum power point voltage. Future recommendations emphasise the optimisation of energy consumption and the expansion of IoT-powered systems for sustainable development.
published_date 2025-02-10T18:31:13Z
_version_ 1832208589228343296
score 11.059359

Similar Items