Open Access
OPTIMIZING OPEN HARDWARE FOR SOLAR PHOTOVOLTAIC RACKING: A GEOGRAPHICAL CASE STUDY APPROACH
4
School of Renewable Energy, Ontario Tech University, Canada
Abstract
This study investigates the geographical dependence of open hardware optimization in the context of solar photovoltaic (PV) racking systems. Open hardware, which is often developed through community-driven initiatives, can significantly impact the scalability and cost-effectiveness of renewable energy systems. The case study focuses on the optimization of PV racking systems, which are critical components for the proper installation and performance of solar panels. By analyzing the variations in environmental, climatic, and regulatory conditions across different geographical regions, the research aims to identify key factors that influence the design and performance of open-source racking hardware. The results demonstrate that optimizing solar racking systems for local conditions such as wind speed, temperature, and material availability can enhance the overall efficiency and sustainability of solar PV installations.
Keywords
Geographical dependence,
open hardware,
solar photovoltaic
References
Raymond, E. The cathedral and the bazaar. Knowl. Technol. Policy 1999, 12, 23–49. [Google Scholar] [CrossRef]
Herstatt, C.; Ehls, D. Open Source Innovation—The Phenomenon, Participant’s Behavior, Business Implications; Routledge: New York, NY, USA, 2015; ISBN 1-317-62425-4. [Google Scholar]
Lee, S.-Y.T.; Kim, H.-W.; Gupta, S. Measuring open source software success. Omega 2009, 37, 426–438. [Google Scholar] [CrossRef]
Weber, S. The Success of Open Source; Harvard University Press: Cambridge, MA, USA, 2005; ISBN 0-674-04499-1. [Google Scholar]
Lakhani, K.R.; Von Hippel, E. How Open Source Software Works: “Free” User-to-User Assistance. In Produktentwicklung Mit Virtuellen Communities: Kundenwünsche Erfahren und Innovationen Realisieren; Gabler Verlag: Wiesbaden, Germany, 2004; pp. 303–339. [Google Scholar]
Zeitlyn, D. Gift economies in the development of open source software: Anthropological reflections. Res. Policy 2003, 32, 1287–1291. [Google Scholar] [CrossRef]
Comino, S.; Manenti, F.M.; Parisi, M.L. From planning to mature: On the success of open source projects. Res. Policy 2007, 36, 1575–1586. [Google Scholar] [CrossRef]
Hiteshdawda. Realising the Value of Cloud Computing with Linux; Rackspace: San Antonio, TX, USA, 2020. [Google Scholar]
Parloff, R. How Linux Conquered the Fortune 500; Fortune: New York, NY, USA, 2013. [Google Scholar]
Supercomputers: All Linux, All the Time. Available online: https://www.zdnet.com/article/supercomputers-all-linux-all-the-time/ (accessed on 16 February 2023).
IDC. Smartphone Market Share. Available online: https://www.idc.com/promo/smartphone-market-share (accessed on 16 February 2023).
Eclipse IoT. IoT Developer Survey. 2019. Available online: https://iot.eclipse.org/community/resources/iot-surveys/assets/iot-developer-survey-2019.pdf (accessed on 13 March 2023).
Gal, M.S. Viral open source: Competition vs. synergy. J. Compet. Law Econ. 2012, 8, 469–506. [Google Scholar] [CrossRef]
Hausberg, J.P.; Spaeth, S. Why makers make what they make: Motivations to contribute to open source hardware development. R D Manag. 2020, 50, 75–95. [Google Scholar] [CrossRef]
Gibb, A. Building Open Source Hardware: DIY Manufacturing for Hackers and Makers; Pearson Education: London, UK, 2014; ISBN 0-321-90604-7. [Google Scholar]
Spaeth, S.; Hausberg, P. Can Open Source Hardware Disrupt Manufacturing Industries? The Role of Platforms and Trust in the Rise of 3d Printing. In the Decentralized and Networked Future of Value Creation; Springer: Cham, Switzerland, 2016; ISBN 3-319-31684-2. [Google Scholar]
Powell, A. Democratizing production through open source knowledge: From open software to open hardware. Media Cult. Soc. 2012, 34, 691–708. [Google Scholar] [CrossRef]
Petrovič, P.; Vaško, J. An Open Solution for a Low-Cost Educational Toy. In Proceedings of the Robotics in Education: Current Research and Innovations 10, Vienna, Austria, 10–12 April 2019; Springer: Cham, Switzerland, 2020; pp. 196–208. [Google Scholar]
Petersen, E.E.; Kidd, R.W.; Pearce, J.M. Impact of DIY Home Manufacturing with 3D Printing on the Toy and Game Market. Technologies 2017, 5, 45. [Google Scholar] [CrossRef]
Pearce, J.M. Open-Source Lab: How to Build Your Own Hardware and Reduce Research Costs; Newnes: New South Wales, Australia, 2013; ISBN 0-12-410486-X. [Google Scholar]
Oellermann, M.; Jolles, J.W.; Ortiz, D.; Seabra, R.; Wenzel, T.; Wilson, H.; Tanner, R.L. Open Hardware in Science: The Benefits of Open Electronics. Integr. Comp. Biol. 2022, 62, 1061–1075. [Google Scholar] [CrossRef]
Chagas, A.M.; Molloy, J.C.; Prieto-Godino, L.L.; Baden, T. Leveraging open hardware to alleviate the burden of COVID-19 on global health systems. PLoS Biol. 2020, 18, e3000730. [Google Scholar] [CrossRef]
Stirling, J.; Bowman, R. The COVID-19 Pandemic Highlights the Need for Open Design Not Just Open Hardware. Des. J. 2021, 24, 299–314. [Google Scholar] [CrossRef]
Pearce, J.M. Distributed Manufacturing of Open Source Medical Hardware for Pandemics. J. Manuf. Mater. Process. 2020, 4, 49. [Google Scholar] [CrossRef]
EVerest: The Open Source Software Stack for EV Charging Infrastructure. Available online: https://www.zdnet.com/article/everest-the-open-source-software-stack-for-electric-vehicle-charging-infrastructure/ (accessed on 16 February 2023).
All Our Patent Are Belong to You. Available online: https://www.tesla.com/blog/all-our-patent-are-belong-you (accessed on 16 February 2023).
The Green Living Guy. Ford Motor Company Announces Open Source Portfolio of EV Patents. Available online: https://greenlivingguy.com/2015/06/ford-motor-company-announces-open-source-portfolio-of-ev-patents/ (accessed on 16 February 2023).
Dobbelaere, T.; Vereecken, P.M.; Detavernier, C. A USB-controlled potentiostat/galvanostat for thin-film battery characterization. Hardwarex 2017, 2, 34–49. [Google Scholar] [CrossRef]
Sylvestrin, G.R.; Scherer, H.F.; Junior, O.H.A. Hardware and Software Development of an Open Source Battery Management System. IEEE Lat. Am. Trans. 2021, 19, 1153–1163. [Google Scholar] [CrossRef]
Carloni, A.; Baronti, F.; Di Rienzo, R.; Roncella, R.; Saletti, R. An Open-Hardware and Low-Cost Maintenance Tool for Light-Electric-Vehicle Batteries. Energies 2021, 14, 4962. [Google Scholar] [CrossRef]
Fleming, J.; Amietszajew, T.; McTurk, E.; Towers, D.P.; Greenwood, D.; Bhagat, R. Development and evaluation of in-situ instrumentation for cylindrical Li-ion cells using fibre optic sensors. Hardwarex 2018, 3, 100–109. [Google Scholar] [CrossRef]
Yensen, N.; Allen, P.B. Open source all-iron battery for renewable energy storage. Hardwarex 2019, 6, e00072. [Google Scholar] [CrossRef]
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