大葉大學圖書館 |

California DREAMing: The design of residential demand responsive technology with people in mind.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
書名/作者:	California DREAMing: The design of residential demand responsive technology with people in mind.
作者:	Peffer, Therese Evelyn.
面頁冊數:	319 p.
附註:	Source: Dissertation Abstracts International, Volume: 70-08, Section: A, page: 2769.
Contained By:	Dissertation Abstracts International70-08A.
標題:	Psychology, General.
標題:	Architecture.
標題:	Energy.
ISBN:	9781109309348
摘要、提要註:	Electrical utilities worldwide are exploring "demand response" programs to reduce electricity consumption during peak periods. Californian electrical utilities would like to pass the higher cost of peak demand to customers to offset costs, increase reliability, and reduce peak consumption. Variable pricing strategies require technology to communicate a dynamic price to customers and respond to that price. However, evidence from thermostat and energy display studies as well as research regarding energy-saving behaviors suggests that devices cannot effect residential demand response without the sanction and participation of people.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3369123

California DREAMing: The design of residential demand responsive technology with people in mind.
Peffer, Therese Evelyn.

California DREAMing: The design of residential demand responsive technology with people in mind. - 319 p.

Source: Dissertation Abstracts International, Volume: 70-08, Section: A, page: 2769.

Thesis (Ph.D.)--University of California, Berkeley, 2009.

Electrical utilities worldwide are exploring "demand response" programs to reduce electricity consumption during peak periods. Californian electrical utilities would like to pass the higher cost of peak demand to customers to offset costs, increase reliability, and reduce peak consumption. Variable pricing strategies require technology to communicate a dynamic price to customers and respond to that price. However, evidence from thermostat and energy display studies as well as research regarding energy-saving behaviors suggests that devices cannot effect residential demand response without the sanction and participation of people.

ISBN: 9781109309348Subjects--Topical Terms:

423162
Psychology, General.

California DREAMing: The design of residential demand responsive technology with people in mind.
LDR:03465nam 2200337 4500 001 344891
005 20100910124346.5
008 110817s2009 ||||||||||||||||| ||eng d
020 $a 9781109309348
035 $a (UMI)AAI3369123
035 $a AAI3369123
040 $a UMI $c UMI
100 1 $a Peffer, Therese Evelyn. $3 423160
245 1 0 $a California DREAMing: The design of residential demand responsive technology with people in mind.
300 $a 319 p.
500 $a Source: Dissertation Abstracts International, Volume: 70-08, Section: A, page: 2769.
500 $a Adviser: Edward Arens.
502 $a Thesis (Ph.D.)--University of California, Berkeley, 2009.
520 $a Electrical utilities worldwide are exploring "demand response" programs to reduce electricity consumption during peak periods. Californian electrical utilities would like to pass the higher cost of peak demand to customers to offset costs, increase reliability, and reduce peak consumption. Variable pricing strategies require technology to communicate a dynamic price to customers and respond to that price. However, evidence from thermostat and energy display studies as well as research regarding energy-saving behaviors suggests that devices cannot effect residential demand response without the sanction and participation of people.
520 $a This study developed several technologies to promote or enable residential demand response. First, along with a team of students and professors, I designed and tested the Demand Response Electrical Appliance Manager (DREAM). This wireless network of sensors, actuators, and controller with a user interface provides information to intelligently control a residential heating and cooling system and to inform people of their energy usage. We tested the system with computer simulation and in the laboratory and field. Secondly, as part of my contribution to the team, I evaluated machine-learning to predict a person's seasonal temperature preferences by analyzing existing data from office workers. The third part of the research involved developing an algorithm that generated temperature setpoints based on outdoor temperature. My study compared the simulated energy use using these setpoints to that using the setpoints of a programmable thermostat. Finally, I developed and tested a user interface for a thermostat and in-home energy display. This research tested the effects of both energy versus price information and the context of sponsorship on the behavior of subjects. I also surveyed subjects on the usefulness of various displays.
520 $a The wireless network succeeded in providing detailed data to enable an intelligent controller and provide feedback to the users. The learning algorithm showed mixed results. The adaptive temperature setpoints saved energy in both annual and summertime simulations. The context in which I introduced the DREAM interface affected behavior, but the type of information displayed did not. The subjects responded that appliance-level feedback and tools that provided choices would be useful in a dynamic tariff environment.
590 $a School code: 0028.
650 4 $a Psychology, General. $3 423162
650 4 $a Architecture. $3 189426
650 4 $a Energy. $3 422946
690 $a 0621
690 $a 0729
690 $a 0791
710 2 $a University of California, Berkeley. $b Architecture. $3 423161
773 0 $t Dissertation Abstracts International $g 70-08A.
790 1 0 $a Arens, Edward, $e advisor
790 1 0 $a Auslander, David $e committee member
790 1 0 $a Cranz, Galen $e committee member
790 $a 0028
791 $a Ph.D.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3369123