Open Access
Thermal Environmental Conditions for Human Occupancy
Standard Ashrae
- Vol. 5
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The article was published on 1992-01-01 and is currently open access. It has received 5855 citations till now. The article focuses on the topics: Occupancy.read more
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Proceedings ArticleDOI
A model-based design of Cyber-Physical Energy Systems
TL;DR: A MBD method and its associated tool for the purpose of designing and validating various control algorithms for a residential microgrid is demonstrated and various use cases are presented to demonstrate how different levels of control algorithms may be developed, simulated, debugged, and analyzed by using the GridMat toolbox.
Book ChapterDOI
Grid-Connected Microgrids: Demand Management via Distributed Control and Human-in-the-Loop Optimization
TL;DR: This work aims at creating a distributed DMS (D-DMS) whose crucial characteristics are: the capability of augmenting any rule-based DMS with a feedback action that improves performance in changing weather or occupancy conditions; a distributed intelligence monitoring logic to scale up the benefits of single-building DMS up to district-level microgrids.
Journal ArticleDOI
Experimental implementation of whole building MPC with zone based thermal comfort adjustments
TL;DR: In this paper, the authors present an experimental implementation of a whole building model predictive control (MPC) approach for a LEED gold certified academic building, which is divided into portions for morning start and daytime optimization, to allow for specialized models to be used for varying tasks.
Journal ArticleDOI
Energy Efficient and Low-Cost Indoor Environment Monitoring System Based on the IEEE 1451 Standard
Anuj Kumar,I. P. Singh,S. K. Sud +2 more
TL;DR: An Indoor Environment Monitoring System (IEMS) for monitoring the concentrations of indoor air pollutant gases and indoor environmental parameters has been developed in compliance with IEEE1451.2 standard.
Journal ArticleDOI
Development of a thermal control algorithm using artificial neural network models for improved thermal comfort and energy efficiency in accommodation buildings
Jin Woo Moon,Sung Kwon Jung +1 more
TL;DR: In this article, two artificial neural network (ANN)-based predictive and adaptive models were developed and employed in the control algorithm to demonstrate the improved thermal comfort and building energy efficiency of accommodation buildings in the cooling season.