Are intelligent agents the key to optimizing building HVAC system performance?

被引：13

作者：

Kelly, George E. ^{[1
]}

Bushby, Steven T. ^{[1
]}

机构：

[1] NIST, Engn Lab, Bldg Environm Div, Gaithersburg, MD 20199 USA

来源：

HVAC&R RESEARCH | 2012年 / 18卷 / 04期

关键词：

D O I：

10.1080/10789669.2012.682693

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

This article describes the development and implementation of a simulation testbed used to study the concept of employing intelligent agents to optimize the performance of building HVAC systems. One-day simulated cost savings results are presented for intelligent agents employing both a simple optimization method and an advanced optimization method. The potential benefits and problems associated with each method are discussed, and recommendations are made for future research efforts leading to the application of intelligent agents in real building.

引用

页码：750 / 759

页数：10

共 50 条

[11] A System for Building Intelligent Agents that Learn to Retrieve and Extract Information
Tina Eliassi-Rad
Jude Shavlik
User Modeling and User-Adapted Interaction, 2003, 13 : 35 - 88
[12] A system for building intelligent agents that learn to retrieve and extract information
Eliassi-Rad, T
Shavlik, J
USER MODELING AND USER-ADAPTED INTERACTION, 2003, 13 (01) : 35 - 88
[13] Homeostasis is the key to the intelligent building
Turner, J. Scott
INTELLIGENT BUILDINGS INTERNATIONAL, 2016, 8 (02) : 150 - 154
[14] Optimizing Quality of a System Based on Intelligent Agents for E-Learning
Soava, Georgeta
Sitnikov, Catalina
Danciulescu, Daniela
21ST INTERNATIONAL ECONOMIC CONFERENCE OF SIBIU 2014, IECS 2014 PROSPECTS OF ECONOMIC RECOVERY IN A VOLATILE INTERNATIONAL CONTEXT: MAJOR OBSTACLES, INITIATIVES AND PROJECTS, 2014, 16 : 47 - 55
[15] Intelligent agents: The key concepts
Wooldridge, M
MULTI-AGENT SYSTEMS AND APPLICATIONS II, 2002, 2322 : 3 - 43
[16] Building intelligent negotiating agents
Debenham, John
Simoff, Simeon
AI 2006: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, 4304 : 413 - +
[17] Optimizing Resource Allocation with Intelligent Agents
Souza, Lucas O.
Ralha, Celia G.
Hoelz, Bruno W. P.
AAMAS'17: PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS, 2017, : 1742 - 1744
[18] NIST's Testbed for Optimizing Building System Performance
McGowan, Mary Kate
ASHRAE JOURNAL, 2018, 60 (12) : 54 - 56
[19] Evaluation on classroom thermal comfort and energy performance of passive school building by optimizing HVAC control systems
Wang, Yang
Kuckelkorn, Jens
Zhao, Fu-Yun
Liu, Di
Kirschbaum, Alexander
Zhang, Jun-Liang
BUILDING AND ENVIRONMENT, 2015, 89 : 86 - 106
[20] Development of building thermal environment emulator to evaluate the performance of the HVAC system operation
Togashi, Eisuke
Miyata, Masato
JOURNAL OF BUILDING PERFORMANCE SIMULATION, 2019, 12 (05) : 663 - 684

← 1 2 3 4 5 →