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A multi-stakeholder framework for su...

Khansari, Nasrin.

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A multi-stakeholder framework for sustainable energy behavior: A multidisciplinary systems study.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A multi-stakeholder framework for sustainable energy behavior: A multidisciplinary systems study./
作者:	Khansari, Nasrin.
面頁冊數:	194 p.
附註:	Source: Dissertation Abstracts International, Volume: 76-12(E), Section: B.
Contained By:	Dissertation Abstracts International76-12B(E).
標題:	Systems science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3715947
ISBN:	9781321942859

A multi-stakeholder framework for sustainable energy behavior: A multidisciplinary systems study.
Khansari, Nasrin.

A multi-stakeholder framework for sustainable energy behavior: A multidisciplinary systems study. - 194 p.

Source: Dissertation Abstracts International, Volume: 76-12(E), Section: B.

Thesis (Ph.D.)--Stevens Institute of Technology, 2015.

Growth of population and moving towards over-consumption and over-pollution are significant threats to the environment and therefore necessitate moving towards sustainability approaches. CO2 emissions are considered to be the main basis of the incredible increase in the earth's surface temperature in recent years. Most emissions result from human activities. Thus, developing a detailed framework representing the parameters affecting individuals' energy behaviors is required. This dissertation offers an integrated conceptual framework to increase the efficiency of energy systems under complex and uncertainty conditions, facilitate energy consumption problem solving, and support the development of capacities at the individual, social, and technical levels to improve managing energy consumptions in the future.

ISBN: 9781321942859Subjects--Topical Terms:

3168411
Systems science.

A multi-stakeholder framework for sustainable energy behavior: A multidisciplinary systems study.
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245 1 2 $a A multi-stakeholder framework for sustainable energy behavior: A multidisciplinary systems study.
300 $a 194 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-12(E), Section: B.
500 $a Adviser: Mo Mansouri.
502 $a Thesis (Ph.D.)--Stevens Institute of Technology, 2015.
520 $a Growth of population and moving towards over-consumption and over-pollution are significant threats to the environment and therefore necessitate moving towards sustainability approaches. CO2 emissions are considered to be the main basis of the incredible increase in the earth's surface temperature in recent years. Most emissions result from human activities. Thus, developing a detailed framework representing the parameters affecting individuals' energy behaviors is required. This dissertation offers an integrated conceptual framework to increase the efficiency of energy systems under complex and uncertainty conditions, facilitate energy consumption problem solving, and support the development of capacities at the individual, social, and technical levels to improve managing energy consumptions in the future.
520 $a This research presents a conceptual soft systems model to explore the process of individuals' energy behavior change based on socio-structural and techno-structural contexts. In addition, a comprehensive model based on systems dynamics principles is presented to address the issue of CO2 emissions related to the households' energy consumption behavior. The proposed systems dynamics model provides a broad overview of the key agents affecting energy consumption, including government/public sector, households, and power industry. The model is created based on the research in the literature discussing the causal relations between various variables. The proposed systems dynamics model is verified by simulating different scenarios.
520 $a In this research a survey is designed and conducted to investigate the role of individual, social and technical behaviors in reducing energy consumption, energy costs and carbon footprints based on the energy use profile. In sum, this study investigates the process of energy behavior change based on socio-structural and techno-structural contexts.
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