Tommy Zhang
A new approach to influence longetivity of crops in a humid and heated area by bitcoin computers aimed to reduce greenhouse emmisions while sustaining food for all.
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Tommy Zhang
A new approach to influence longetivity of crops in a humid and heated area by bitcoin computers aimed to reduce greenhouse emmisions while sustaining food for all.
Ling Zhang, Wang Xiujuan, Haoyu Wang, Jing Hua · 6 authors
This work explores the path to the convergence of virtual and real-world plants under the context of the metaverse. A mobile application named MetaPlant has been designed to offer a platform for learning about planting experiences. The application simulates the development and growth of individual plants based on the GreenLab model. It incorporates various features including the simulations of virtual fields and environmental conditions, the interactions with virtual plants, the visualization of plants using OpenGL, and user-to-user communications through the friend and community systems. This work can potentially integrate virtual and real-world farming practices using Internet of Things (IoT) technologies, produce digital products through Decentralized Autonomous Organization (DAO), and promote sustainable farming practices and knowledge sharing within a vibrant virtual farming community.
Nima Asgari, Matthew T. McDonald, Joshua M. Pearce
Greenhouses extend growing seasons in upper latitudes to provide fresh, healthy food. Costs associated with carbon-emission-intensive natural gas heating, however, limit greenhouse applications and scaling. One approach to reducing greenhouse heating costs is electrification by using waste heat from cryptocurrency miners. To probe this potential, a new quasi-steady state thermal model is developed to simulate the thermal interaction between a greenhouse and the environment, thereby estimating the heating and cooling demands of the greenhouse. A cryptocurrency mining system was experimentally evaluated for heating potential. Using these experimental values, the new thermal model was applied to the waste heat of the three cryptocurrency mining systems (1, 50, and 408 miners) for optimally sized greenhouses in six locations in Canada and the U.S.: Alberta, Ontario, Quebec, California, Texas, and New York. A comprehensive parametric study was then used to analyze the effect of various parameters (air exchange rate, planting area, lighting allowance factor, and photoperiod) on the thermal demands and optimal sizing of greenhouses. Using waste heat from cryptocurrency mining was found to be economically profitable to offset natural gas heating depending on the utility rates and Bitcoin value in a wide range of scenarios.
Vinod Kumar, Aakansha Sharma
No abstract is available for this record.