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M. A. Piette

Researcher at Lawrence Berkeley National Laboratory

Publications -  6
Citations -  246

M. A. Piette is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Efficient energy use & Building management system. The author has an hindex of 6, co-authored 6 publications receiving 182 citations.

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A thermodynamic analysis of a novel bidirectional district heating and cooling network

TL;DR: In this article, the authors evaluate an ambient, bidirectional thermal network, which uses a single circuit for both district heating and cooling, and they show that a simple model of a low-density, high-distribution loss network is more efficient than aggregated individual buildings if there is at least 1 unit of cooling energy per 5.7 units of simultaneous heating energy (or vice versa).
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Practical factors of envelope model setup and their effects on the performance of model predictive control for building heating, ventilating, and air conditioning systems

TL;DR: It is found that a difference of up to 20% in cooling cost for the cases studied can occur between the best performing model and the worst performing model, and the primary factors attributing to this were model structure and initial parameter guesses during parameter estimation of the model.
ReportDOI

Small- and Medium-Sized Commercial Building Monitoring and Controls Needs: A Scoping Study

TL;DR: In this article, the authors identify monitoring and control needs for small and medium-sized commercial buildings and recommend possible solutions for small-and medium-size buildings, and document the needs and solutions for these buildings.
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Intelligent Building Energy Information and Control Systems for Low-Energy Operations and Optimal Demand Response

TL;DR: The role of a building information system in reducing building energy consumption as well as in providing demand response, is explored, and case studies of real use are presented.
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Efficiency improvements in US office equipment: Expected policy impacts and uncertainties

TL;DR: In this article, a business as usual scenario for office equipment electricity use from industry forecasts of equipment sales, surveys of equipment densities by building type, measured data on wattage and usage by equipment type and projected lifetimes for equipment.