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Matthew Robinson

Researcher at University of New Mexico

Publications -  9
Citations -  95

Matthew Robinson is an academic researcher from University of New Mexico. The author has contributed to research in topics: Distributed generation & Air conditioning. The author has an hindex of 4, co-authored 9 publications receiving 66 citations.

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Journal ArticleDOI

Efficiency enhancement of solar chimney power plant by use of waste heat from nuclear power plant

TL;DR: In this paper, a solar chimney power plant (SCPP) was proposed to increase the temperature of the air in the collector and therefore produce more electricity in the solar chipper.
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A behavior-centered framework for real-time control and load-shedding using aggregated residential energy resources in distribution microgrids.

TL;DR: A bottom-up method to generate synthetic residential loads realistically, but with minimal computational resources, is presented and it is shown that aggregated loads can be shaped to follow a desired signal, for example to balance intermittent solar generation.
Journal ArticleDOI

Numerical analysis of heat transfer processes in a low-cost, high-performance ice storage device for residential applications

TL;DR: In this article, the authors proposed a small-scale ice storage device for residential applications based on a layered structure of alternating ice packs and flow channels, consisting, respectively, of thermally sealed polyethylene water bag and corrugated plastic sheeting, with thickness for each layer on the order of several millimeters.
Journal ArticleDOI

Moore vs. Murphy: Tradeoffs between complexity and reliability in distributed energy system scheduling using software-as-a-service

TL;DR: Moderate improvements in performance, achieved at low cost by simple means, may be more effective than highly optimized schemes, which are more susceptible to failure due to their dependence on complex interactions between systems.
Proceedings ArticleDOI

Integration of bottom-up statistical models of loads on a residential feeder with the GridLAB-D distribution system simulator, and applications

TL;DR: An enhanced capacity to integrate human behavior models with power flow simulators will become essential for designing distribution management systems, as grid modernization leads to more customer-owned devices that can be used to match generation and load.