Optimization of the proton exchange membrane fuel cell hybrid power system for residential buildings

被引：43

作者：

Bizon, Nicu ^{[1
]}

Mazare, Alin Gheorghita ^{[1
]}

Ionescu, Laurentiu Mihai ^{[1
]}

Enescu, Florentina Magda ^{[1
]}

机构：

[1] Univ Pitesti, Fac Elect Commun & Comp Sci, 1 Targu Din Vale, Arges 110040, Pitesti, Romania

来源：

ENERGY CONVERSION AND MANAGEMENT | 2018年 / 163卷

关键词：

Residential building; Real-time optimization (RTO) strategy; Polymer Electrolyte Membrane Fuel Cell (PEMFC); Fuel Cell Hybrid Power System (FCHPS); FC system efficiency; Fuel economy; ENERGY MANAGEMENT STRATEGY; EXTREMUM SEEKING CONTROL; MODEL-PREDICTIVE CONTROL; ELECTRIC VEHICLES; RENEWABLE ENERGY; STORAGE SYSTEM; CONTROL SCHEME; FUZZY-LOGIC; CONSUMPTION MINIMIZATION; PHOTOVOLTAIC ARRAY;

D O I：

10.1016/j.enconman.2018.02.025

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

A real-time optimization (RTO) strategy to find the optimal value of the fuel flow rate of a Fuel Cell Hybrid Power System (FCHPS) for residential buildings is proposed here, which is shortly named as Air_LFW-RTO strategy due to the use of Load-Following (LFW) technique to control the air flow. The optimization strategy uses the Global Extremum Seeking (GES) algorithm to adjust the fuel flow rate and harvest the FC power by using two GES control schemes. The performance obtained with Air LFW-RTO strategy proposed herein is shown compared to Static Feed-Forward RTO strategy, where both fueling rates are controlled by the FC current. The performance have been estimated for 8 kW residential building based on following indicators: the fuel consumption efficiency, the FC system efficiency, and the fuel economy during a variable load demand. The fuel consumption efficiency and the energy efficiency could increase with more than 11.47 W/lpm and 2.13% for a FCHPS under 8 kW constant load. The fuel economy could be up to 263 lpm for a FCHPS under variable load cycle using the Air LFW-RTO strategy.

引用

页码：22 / 37

页数：16

共 92 条

[1] Multi-objective genetic optimization of the fuel cell hybrid vehicle supervisory system: Fuzzy logic and operating mode control strategies
Ahmadi, Saman
Bathaee, S. M. T.
[J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2015, 40 (36) : 12512 - 12521
[2] A review on recent size optimization methodologies for standalone solar and wind hybrid renewable energy system
Al-Falahi, Monaaf D. A.
Jayasinghe, S. D. G.
Enshaei, H.
[J]. ENERGY CONVERSION AND MANAGEMENT, 2017, 143 : 252 - 274
[3] A perturbation strategy for fuel consumption minimization in polymer electrolyte membrane fuel cells: Analysis, Design and FPGA implementation
Andres Ramos-Paja, Carlos
Spagnuolo, Giovanni
Petrone, Giovanni
Mamarelis, Emilio
[J]. APPLIED ENERGY, 2014, 119 : 21 - 32
[4] Andrews J, 2008, WOODHEAD PUBL MATER, P344, DOI 10.1533/9781845694838.344
[5] [Anonymous], 2003, Real-time optimization by extremum-seeking control
[6] [Anonymous], 2010, SIMPOWERSYSTEMS TM R
[7] [Anonymous], 2012, PEM FUEL CELLS THEOR
[8] [Anonymous], 2016, LITHIUM BATTERIES
[9] Modeling and off-design performance of a 1 kWe HT-PEMFC (high temperature-proton exchange membrane fuel cell)-based residential micro-CHP (combined-heat-and-power) system for Danish single-family households
Arsalis, Alexandros
Nielsen, Mads P.
Kaer, Soren K.
[J]. ENERGY, 2011, 36 (02) : 993 - 1002
[10] Bizon N., 2017, Energy harvesting and energy efficiency

← 1 2 3 4 5 6 7 8 9 10 →