alexa Parametric Study of Community Load Aggregation on Thermal Storage Efficiency | OMICS International| Abstract
ISSN: 2168-9717

Journal of Architectural Engineering Technology
Open Access

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
  • Research Article   
  • J Archit Eng Tech 2013, Vol 2(1)
  • DOI: 10.4172/2168-9717.1000110

Parametric Study of Community Load Aggregation on Thermal Storage Efficiency

Kevin Carbonnier* and Stephen Treado
Department of Architectural Engineering, The Pennsylvania State University, 104 Engineering Unit A, University Park, PA, 16802, USA
*Corresponding Author : Kevin Carbonnier, Department of Architectural Engineering, The Pennsylvania State University, 104 Engineering Unit A, University Park, PA, 16802, USA, Email: [email protected]

Received Date: Mar 31, 2013 / Accepted Date: Jul 21, 2013 / Published Date: Jul 25, 2013

Abstract

Renewable energy technologies, most notably wind, solar hot water, and solar photovoltaic are not always available to the residential sector due to financial and feasibility challenges. In this paper we investigate the potential benefit of aggregating residential loads to more closely match the renewable energy generation profiles and to have a smoother energy demand curve which can be more efficiently supplied by an energy storage system.

Four individual residential load profiles are matched against an optimized combination of wind, solar hot water, and solar photovoltaic generation. A simulation is then run to assess the percentage of the demand which must be supplied via auxiliary energy sources (i.e. the grid) with and without a thermal energy storage system. Finally, these four load profiles are randomly combined to create a 50 user community load profile. This aggregated profile is also matched against the renewable energy generation and the results are compared to individual load profile performance metrics for January, April, and July data.

In the April and July cases, the community load profile reduced the demand supplied by auxiliary energy by as much as 5% on average in a simple system without storage (An improvement over the average of the individual loads of about 11%). With storage, a community system reduces demand supplied by auxiliary energy by about 0.8%, which is an improvement over the average individual loads of also about 11%. It is concluded that community shared renewable energy systems can be beneficial not only in terms of economics and feasibility, but also in terms of thermodynamics, which is often overlooked.

Keywords: Community renewables; Thermal storage; Load aggregation; Energy simulation

Citation: Carbonnier K, Treado S (2013) Parametric Study of Community Load Aggregation on Thermal Storage Efficiency. J Archit Eng Tech 2: 110. Doi: 10.4172/2168-9717.1000110

Copyright: ©2013 Carbonnier K, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Select your language of interest to view the total content in your interested language

Post Your Comment Citation
Share This Article
Recommended Conferences
Article Usage
  • Total views: 12873
  • [From(publication date): 7-2013 - Aug 12, 2020]
  • Breakdown by view type
  • HTML page views: 9045
  • PDF downloads: 3828
Top