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Danny S. Parker

Researcher at University of Central Florida

Publications -  110
Citations -  2148

Danny S. Parker is an academic researcher from University of Central Florida. The author has contributed to research in topics: Efficient energy use & Air conditioning. The author has an hindex of 25, co-authored 107 publications receiving 1985 citations.

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Research highlights from a large scale residential monitoring study in a hot climate

TL;DR: In this paper, a utility load research project has monitored a large number of residences in Central Florida, collecting detailed end-use data to better estimate the impact of a load control program, as well as obtain improved appliance energy load profiles.
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A framework for the cost-optimal design of nearly zero energy buildings (NZEBs) in representative climates across Europe

TL;DR: A key finding of the research is that a source energy reduction of 90% and beyond is feasible for new constructions in all locations and the importance of integrating renewables and energy efficiency measures is confirmed as crucial to reach the NZEBs target.
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Very low energy homes in the United States: Perspectives on performance from measured data

TL;DR: In this paper, the authors presented measured annual performance data from a dozen very low energy homes in North America, which were constructed to the German Passivhaus standard in the United States.
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Roof solar reflectance and cooling energy use: field research results from Florida

TL;DR: In this paper, the authors examined the impact of reflective roof coatings on air conditioning energy use in a series of tests on occupied homes and found that cooling energy reductions appeared to depend also on initial ceiling insulation level and roof solar reflectance, air duct system location and air conditioner sizing.

How Much Energy Are We Using? Potential of Residential Energy Demand Feedback Devices

TL;DR: An evaluation protocol is developed to use such devices to determine the relative energy intensity of various energy end uses and an identified advantage of the technology is that it provides better guidance on profitable areas to reduce household electrical demand.