Difference between revisions of "Projectlist"
 
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=Part II/ACS projects (2022)=
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=Part II/ACS projects (2023)=
  
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* ''Reinforcement Learning for Bi-directional EV charging'': Today's EVs are mostly one-way, that is, they charge, but they cannot supply energy back to the grid. However, [https://www.canarymedia.com/articles/ev-charging/is-vehicle-to-everything-charging-ready-for-prime-time vehicle-to-grid charging] is far more rewarding for home owners, especially those with their own solar panels. But when exactly should the EV be charged and when should it be discharged? This is a complex problem that is determined by when the EV is present at home, the next day's travel plans, grid requirements, and so on. The goal of this project is to use reinforcement learning to come up with EV charge/discharge control, similar to the approach proposed [https://ieeexplore.ieee.org/abstract/document/9345625 here], but extending the use cases to make it more realistic.
 
  
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* ''Trunk diameter detection for complex trunks'': In recent [https://svr-sk818-web.cl.cam.ac.uk/keshav/wiki/images/0/01/Mobisys21postersdemos-final85_copy.pdf work] we have used mobile phones with LIDAR to measure trunk diameters. However, our algorithm only works for nearly cylindrical trunks. The goal here would be to build on this work to tackle more complex trunks, such as those with burls, lianas, or multiple trunks.  
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*''A solar PV layout and sizing tool'': Residential solar PV is rapidly being deployed on rooftops around the world. In prior [https://svr-sk818-web.cl.cam.ac.uk/keshav/wiki/images/8/8b/Sizing_multiple_roofs-5_copy.pdf work] we have studied the sizing of solar and storage (i.e. how many panels and how much storage to purchase) to meet a certain level of grid independence. We have also looked at optimal placement of panels on sloping roofs. This work, however, does not apply to flat roofs, where self-shading between rows of panels is a problem. The goal of this project is to come up with optimal algorithms/heuristics for placement of panels on flat roofs, subject to self-shading and shading from both roof elements, such as satellite dishes and soffits, and nearby trees.  
  
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*''A solar PV layout and sizing tool'': Residential solar PV is rapidly being deployed on rooftops around the world. In prior [https://svr-sk818-web.cl.cam.ac.uk/keshav/wiki/images/8/8b/Sizing_multiple_roofs-5_copy.pdf work] we have studied the sizing of solar and storage (i.e. how many panels and how much storage to purchase) to meet a certain level of grid independence. This work, however, does not take into account the realities of rooftop PV, which includes limitations on where panels can be placed (avoiding skylights, for example), shadowing from rooftop protuberances and nearby trees, and self-shadowing from adjacent panels. The goal of this project is to use rooftop images, either from a satellite or a drone, to create a 3D model of the rooftop, then do an [https://www.researchgate.net/profile/Rawad-El-Kontar/publication/344453369_Optimal_Efficiency_and_Operational_Cost_Savings_A_Framework_for_Automated_Rooftop_PV_Placement/links/5f7740cc299bf1b53e09526e/Optimal-Efficiency-and-Operational-Cost-Savings-A-Framework-for-Automated-Rooftop-PV-Placement.pdf optimal placement], subject to a sizing requirement.
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* ''3D wind velocity field and CO2 sensing'': [https://www.fondriest.com/news/researchers-measure-carbon-dioxide-exchange-between-forests-and-atmosphere.htm Flux towers] are used to measure the exchange of carbon dioxide between the atmosphere and the biosphere. These are typically very expensive. At their heart, they have a CO2 sensor and a 3D wind velocity field sensor. These days, both can be built using off-the-shelf components, such as this [https://sensirion.com/products/product-categories/co2/ CO2 sensor] and this [https://docs.px4.io/main/en/sensor/airspeed_tfslot.html airspeed sensor], with three airspeed sensors place on orthogonal axes. This means we can put together a quick-and-dirty flux tower for well under £200 (as opposed to the £80K they charge now). We can also get access to a flux tower near Ely to compare the measurements from a top-of-the-line system to something less expensive. The goal of this project would be to build, deploy, and calibrate this sensing platform.
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* ''Trusted image capture'': The goal of this project is to link image capture from trusted hardware devices, such as [https://ieeexplore.ieee.org/document/9302967 Azure Sphere], to a global file store, such as IPFS, with summaries posted to a blockchain. This would allow us to trace an image to its creator with an unbroken chain of trust. Students who have some background working with microcontroller-based single-board devices, such as a Raspberry Pi, would be preferred. An alternative would be to develop the solution using an integrated hardware/software platform, such as iOS, and use iOS APIs to prove that the captured image, its time stamp, and device orientation had not been tampered with.
 
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* ''Digital ID for carbon credit projects'': In the context of [https://4c.cst.cam.ac.uk carbon credit projects], we would like to provide participants with a digital ID that allows them to be paid for their projects, upload crowdsensed data about the project, and for those affected by the project to complain about unanticipated side effects. The digital ID will have to, therefore, be trustworthy enough for payments, yet provide protection to whistleblowers. How do we get participants IDs? What foundational ID do they need to begin with? The goal of this project is to design and implement a suitable solution, building on work such as [https://arxiv.org/pdf/2112.05566.pdf this].
 

Latest revision as of 13:50, 13 September 2023

Part II/ACS projects (2023)

  • A solar PV layout and sizing tool: Residential solar PV is rapidly being deployed on rooftops around the world. In prior work we have studied the sizing of solar and storage (i.e. how many panels and how much storage to purchase) to meet a certain level of grid independence. We have also looked at optimal placement of panels on sloping roofs. This work, however, does not apply to flat roofs, where self-shading between rows of panels is a problem. The goal of this project is to come up with optimal algorithms/heuristics for placement of panels on flat roofs, subject to self-shading and shading from both roof elements, such as satellite dishes and soffits, and nearby trees.
  • 3D wind velocity field and CO2 sensing: Flux towers are used to measure the exchange of carbon dioxide between the atmosphere and the biosphere. These are typically very expensive. At their heart, they have a CO2 sensor and a 3D wind velocity field sensor. These days, both can be built using off-the-shelf components, such as this CO2 sensor and this airspeed sensor, with three airspeed sensors place on orthogonal axes. This means we can put together a quick-and-dirty flux tower for well under £200 (as opposed to the £80K they charge now). We can also get access to a flux tower near Ely to compare the measurements from a top-of-the-line system to something less expensive. The goal of this project would be to build, deploy, and calibrate this sensing platform.
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