Modeling and Optimization of a Longitudinally-Distributed Global Solar Grid

• URL: http://arxiv.org/abs/2206.05584v1
• Date: Sat, 11 Jun 2022 18:20:13 GMT
• Title: Modeling and Optimization of a Longitudinally-Distributed Global Solar Grid
• Authors: Harsh Vardhan, Neal M Sarkar, Himanshu Neema
• Abstract summary: These experiments consist of a network of model houses at different locations in the world, each producing and consuming only solar energy. Data gathered from the power system simulation is used to develop optimization models to find the optimal solar panel area required at the different locations.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Our simulation-based experiments are aimed to demonstrate a use case on the feasibility of fulfillment of global energy demand by primarily relying on solar energy through the integration of a longitudinally-distributed grid. These experiments demonstrate the availability of simulation technologies, good approximation models of grid components, and data for simulation. We also experimented with integrating different tools to create realistic simulations as we are currently developing a detailed tool-chain for experimentation. These experiments consist of a network of model houses at different locations in the world, each producing and consuming only solar energy. The model includes houses, various appliances, appliance usage schedules, regional weather information, floor area, HVAC systems, population, number of houses in the region, and other parameters to imitate a real-world scenario. Data gathered from the power system simulation is used to develop optimization models to find the optimal solar panel area required at the different locations to satisfy energy demands in different scenarios.

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