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A Data Mining Model and a Real-Time Predictive Software Prototype for the Spatial Design and Planning of High Energy Performance Solar Community Microgrids.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A Data Mining Model and a Real-Time Predictive Software Prototype for the Spatial Design and Planning of High Energy Performance Solar Community Microgrids./
作者:	Rahimian, Mina.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2022,
面頁冊數:	158 p.
附註:	Source: Dissertations Abstracts International, Volume: 84-02, Section: B.
Contained By:	Dissertations Abstracts International84-02B.
標題:	Urban planning. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29276551
ISBN:	9798841573234

A Data Mining Model and a Real-Time Predictive Software Prototype for the Spatial Design and Planning of High Energy Performance Solar Community Microgrids.
Rahimian, Mina.

A Data Mining Model and a Real-Time Predictive Software Prototype for the Spatial Design and Planning of High Energy Performance Solar Community Microgrids. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 158 p.

Source: Dissertations Abstracts International, Volume: 84-02, Section: B.

Thesis (Ph.D.)--The Pennsylvania State University, 2022.

This item must not be sold to any third party vendors.

With severe natural disasters occurring around the globe, cities are experiencing the consequences of climate change more than before. Frequent power outages attributed to aging equipment of power distribution systems and coupled with natural disasters such as hurricanes or wildfires are threatening everyday lives and businesses of urban dwellers. Communities, especially urban communities, which have experienced frequent blackouts are taking a closer look at adopting microgrid technologies to operate independently from the main power grid during emergencies. Microgrids are local, decentralized power distribution systems involving the use of power sources such as solar panels and diesel engines and storage devices like batteries to provide electricity for a cluster of buildings. Providing resiliency and reliability under unexpected power interruptions, microgrids have typically been used for backup supporting critical loads such as military bases and hospitals. However, with the increasing environmental concerns associated with fossil fuels and the frequency of natural disasters, a growing interest in adopting microgrid technologies is rising in towns and communities in the interest of transitioning into energy-independent urban settlements. Known as community microgrids, these energy-independent urban settlements are generally comprised of various mixes of residential, commercial, agricultural, and industrial loads followed by the local renewable and/or nonrenewable sources of power.As with any other energy system, the efficiency of a community microgrid's energy performance is evaluated by comparing the energy inputted to the system from the on- and off-site sources of energy, to the energy that is outputted from the system, mostly in the form of useful energy for buildings operation. Current research on improving energy performance in community microgrids has been exclusively advocating technological advances enhancing the limited supplies of local energy and addressing the constantly growing demands of the loads. However, researchers argue that focusing on technological innovations alone wouldn't solve the current energy issues in the built environment. In the case of community microgrids this statement is especially accurate since they are contextualized in cities and urban areas; citing research from the 1960's onwards, considerable attention has been directed towards the impact that spatial structure of urban form has on the energy required for space heating, cooling and lighting as well as the feasibility of adopting on-site renewable energy generators such as Photovoltaic (PV) panels and wind turbines.Literature today emphasizes the importance of obtaining an energy-conscious point of view when taking actions toward urban design and planning. Architects and urban planners are expected to consider the tradeoffs between the living qualities of an urban context and its potential for high-performance energy systems design and engineering. Despite the evident need for involving architects and urban planners in the development process of urban energy systems as community microgrids, in practice this engagement is generally neglected. This is possibly due to the complexity of understanding urban form and its impact on energy performance in community microgrids and the unavailability of custom tools for the spatial design and assessment of these energy systems. The intention of this research is to engage architects and urban planners in the process of developing and constructing community microgrids.

ISBN: 9798841573234Subjects--Topical Terms:

2122922
Urban planning.

A Data Mining Model and a Real-Time Predictive Software Prototype for the Spatial Design and Planning of High Energy Performance Solar Community Microgrids.
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