Abstract

Optimization of Large-Scale Solar Hot Water System Using Non-Traditional Optimization Technique

Highlights

  • Alternative energy has become important and relevant in today’s world due to the problems associated with the use of fossil fuels [1,2]

  • Some of the correlations are hard to know for the following reasons: (i) measurements are time-consuming [5]; (ii) control experiments are usually difficult to perform; and (iii) there is no current physical model that can precisely connect the relationships between external settings and intrinsic properties for Solarwater heater (SWH)

  • There are some state-of-the-art methods for the estimation of energy system properties [6,7,4] and for the optimization of performances [8,9,10,11,12]

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Summary

Introduction

Alternative energy has become important and relevant in today’s world due to the problems associated with the use of fossil fuels [1,2]. Solarwater heater (SWH), as a typical solar energy conversion system, has complicated heat transfer and storage properties that are not easy to be measured and predicted by conventional ways. Most of them are not suitable for the solar energy system These problems, together with the economic concerns, significantly hinder the rational design of high-performance SWH. Water from a storage tank is pumped through a collector array, which performs heating and ermosyphon Systems [4] use a separate storage tank locat ed above the collector. E (Figure 1) shows a natural circulating type solar hot wa ter system. It consists of a tilted collector, with transparent cover plates, a separate, highly insulated water storage tank, and well-insulated pipes connecting the two. As the solar radiation and atmospheric air temperature vary over a day and over the year, each component needs to be mathematically modeled and assembled in an appropriate manner to simulate the total system

Design Methodology Utilized in LSSWHS Modeling
Simulation Methodology
Result and Discussion
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