Niraj Kunwar
Iowa State University
24 Papers
4 Citations
Niraj Kunwar is an academic researcher from Iowa State University. The author has contributed to research in topics: Computer science & Daylighting. The author has an hindex of 4, co-authored 10 publications.
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Papers
Development and validation of an HVAC on/off controller in EnergyPlus for energy simulation of residential and small commercial buildings
Kristen S. Cetin,Mohammad Hassan Fathollahzadeh,Niraj Kunwar,Huyen Do,Huyen Do,Paulo Cesar Tabares-Velasco +5 more
TL;DR: In this article, the authors presented the development and validation of an on/off controller for residential applications in EnergyPlus using a custom EMS (energy management system), which was validated using minute-level field data collected for a house located in Sacramento, California with simulated occupancy and internal loads.
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Energy savings and daylighting evaluation of dynamic venetian blinds and lighting through full-scale experimental testing
TL;DR: Full-scale experimental testing of integrated dynamic shading and lighting controls in buildings has the potential to reduce building energy consumption while also providing a more desirable indoor environment for building occupants to translate the real-world applicability of shading device controls.
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A critical review of fenestration/window system design methods for high performance buildings
TL;DR: This paper reviews and analyzes window design studies for high-performance buildings, which could be interpreted as decision-making processes to achieve the window performance goals by controlling a series of design variables.
38
Dynamic Shading in Buildings: a Review of Testing Methods and Recent Research Findings
Niraj Kunwar,Kristen S. Cetin,Ulrike Passe +2 more
- 01 Mar 2018
TL;DR: Improvements to control logic and ranges of test scenarios continue; however, there is still significant need for further studies in this area.
23
Calibration of energy simulation using optimization for buildings with dynamic shading systems
TL;DR: In this paper, the authors focus on the co-simulation of daylight and energy modeling to evaluate the energy performance impacts of dynamic shading and use the generalized pattern search algorithm to minimize the root mean square error between measured and simulated data to perform the calibration of the baseline energy model.
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