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Sustainability 2016, 8(11), 1134; doi:10.3390/su8111134

Simplified Method of Optimal Sizing of a Renewable Energy Hybrid System for Schools

1
Green Building Center, Korea Appraisal Board, Seoul 06225, Korea
2
Department of Architectural Engineering, Inha University, Incheon 22212, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Marc A. Rosen
Received: 10 June 2016 / Revised: 30 October 2016 / Accepted: 1 November 2016 / Published: 4 November 2016
(This article belongs to the Section Sustainable Engineering and Science)
View Full-Text   |   Download PDF [5175 KB, uploaded 4 November 2016]   |  

Abstract

Schools are a suitable public building for renewable energy systems. Renewable energy hybrid systems (REHSs) have recently been introduced in schools following a new national regulation that mandates renewable energy utilization. An REHS combines the common renewable-energy sources such as geothermal heat pumps, solar collectors for water heating, and photovoltaic systems with conventional energy systems (i.e., boilers and air-source heat pumps). Optimal design of an REHS by adequate sizing is not a trivial task because it usually requires intensive work including detailed simulation and demand/supply analysis. This type of simulation-based approach for optimization is difficult to implement in practice. To address this, this paper proposes simplified sizing equations for renewable-energy systems of REHSs. A conventional optimization process is used to calculate the optimal combinations of an REHS for cases of different numbers of classrooms and budgets. On the basis of the results, simplified sizing equations that use only the number of classrooms as the input are proposed by regression analysis. A verification test was carried out using an initial conventional optimization process. The results show that the simplified sizing equations predict similar sizing results to the initial process, consequently showing similar capital costs within a 2% error. View Full-Text
Keywords: renewable energy; hybrid energy system; optimization; simplified sizing method renewable energy; hybrid energy system; optimization; simplified sizing method
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Kim, J.; Kim, E.-J. Simplified Method of Optimal Sizing of a Renewable Energy Hybrid System for Schools. Sustainability 2016, 8, 1134.

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