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  1. Proceedings of the Seventh International Conference on Future Energy Systems Poster Sessions (e-Energy '16)
  2. SunShade: software-defined solar systems
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In-situ sensor network for microclimate and urban energy modeling and validation
A framework for occupancy-aided energy disaggregation
Decentralized optimization of energy exchanges in an electricity microgrid
Inferring non-outage events using meter voltage data
Optimizing energy costs of commercial buildings in developing countries
Towards constraint-based aggregation of energy flexibilities
Combining data with physics to monitor solar panels
SunShade: software-defined solar systems
Observability: replacing sensors with inference engines
Harmoney: saving energy costs in buildings through harmonic current mitigation
Multiple time-scale model predictive control for thermal comfort in buildings
Collect, compare, and score: a generic data-driven anomaly detection method for buildings

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SunShade: software-defined solar systems

Content Provider ACM Digital Library
Author Shenoy, Prashant Singh, Akansha Lee, Stephen Irwin, David
Abstract Since the electric grid was not designed to support large-scale solar generation, current policies place hard caps on the number of solar systems that connect to the grid. Unfortunately, users are starting to hit these caps, which is restricting solar's natural growth. Software-defined solar (SDS) systems address the problem by dynamically regulating the power they inject into the grid, similar to TCP, to maximize the grid's available solar capacity, maintain grid stability, and fairly share the grid's solar capacity among users. By dynamically regulating solar "flows," SDS systems remove the need for policies that artificially cap solar systems, enabling any SDS system to freely connect to the grid. Our prototype SDS system, called SunShade, includes two new mechanisms that enable programmatic solar flow control: one that enforces an absolute limit on solar output, and one that enforces a relative limit on solar output as a fraction of the current maximum power point. We have implemented both mechanisms, and conducted a preliminary evaluation with an emulated solar panel using real weather traces with different insolation and temperature levels.
Starting Page 1
Ending Page 2
Page Count 2
File Format PDF
ISBN 9781450344173
DOI 10.1145/2939912.2942352
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-06-21
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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