Exergy-based control of electricity demand and microgeneration

Boait, Peter; Rylatt, R. M.; Wright, A. J.

doi:10.1016/j.apenergy.2006.09.001

Cited by 13 publications

(14 citation statements)

References 6 publications

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“…As an increasing percentage of renewables are introduced to the grid, researchers within the United Kingdom recognized the potential of exergy based optimization to cut peak demand while reducing the variability of apparent demand arising from embedded renewable generation [85]. The authors designed an optimization algorithm that minimized exergy loss in the grid based on demand information and balanced the supply and demand.…”

Section: Exergy Based Optimizationmentioning

confidence: 99%

A Review of Exergy Based Optimization and Control

2020

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This work presents a critical review of the use of exergy based control and optimization for efficiency improvements in energy networks, with a background of exergy based analysis given for context. Over the past three decades, a number of studies using exergy were conducted to gain a performance advantage for high energy consumption systems and networks. Due to their complexity and the increased scale of the systems, the opportunity to misuse energy inevitability leads to inefficient operations. The studies accomplished in this area are grouped into either control or optimization to highlight each method's ability to minimize system irreversibilities that lead to exergy destruction. The exergy based optimization and control studies featured demonstrate substantial improvements (as high as 40%) over traditional methods based on the first law of thermodynamics. This paper reviews the work completed in the area of exergy based optimization and control as of the end of September 2019, outlines the progress made, and identifies specific areas where future work can advance this area of study. A relatively small amount of publications are available compared to other fields, with most work occurring in the area of exergy based multi-objective optimization.

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Section: Exergy Based Optimizationmentioning

confidence: 99%

A Review of Exergy Based Optimization and Control

2020

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“…The purpose is to develop the dual-benchmark based operation evaluation approach for the HVAC system. Exergy analysis is used as the tool to evaluate the various control strategies [20,24]. The control strategy leading to the smaller system exergy loss is viewed to be more optimal.…”

Section: Introductionmentioning

confidence: 99%

A dual-benchmark based energy analysis method to evaluate control strategies for building HVAC systems

Jin

Fang

et al. 2016

Applied Energy

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“…Smart control algorithms enable us to reduce exergy destruction, energy consumption and greenhouse gas emissions of buildings. For instance, exergy loss has been defined as the cost function of a supervisory control system in [34]. To minimize exergy loss, the controller makes accurate decisions based on energy source types (fossils, renewables, nuclear, and hydro-power).…”

Section: Introductionmentioning

confidence: 99%

“…To minimize exergy loss, the controller makes accurate decisions based on energy source types (fossils, renewables, nuclear, and hydro-power). The authors in [34] made a comparison between exergy objective function with the price and the carbon emission objective functions. Their results show economical benefits of carefully managing exergy.…”

Section: Introductionmentioning

confidence: 99%