A symbolic exergoeconomic study of a retrofitted heating and DHW facility

被引:8
作者
Picallo-Perez, Ana [1 ]
Sala-Lizarraga, Jose M. [1 ]
Iribar-Solabarrieta, Eider [1 ]
Hidalgo-Betanzos, Juan M. [1 ]
机构
[1] Univ Basque Country, Dept Thermal Engn, Res Grp ENEDI, UPV EHU, Alameda Urquijo S-N, Bilbao 48013, Vizcaya, Spain
关键词
Symbolic Thermoeconomics; Cost formation; Dynamic analysis; Retrofitted facility; EXERGY ANALYSIS; THERMOECONOMIC DIAGNOSIS; ENERGY-CONSUMPTION; MULTIPLE FAULTS; PUMP SYSTEMS; STRATEGIES; BUILDINGS; DEMAND;
D O I
10.1016/j.seta.2018.04.004
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Thermoeconomic analysis of building energy supply systems are usually performed following the input-output approach, where the supply chain is divided into several subsystems directly related to each other. However, in this paper Symbolic Thermoeconomics has been applied and a dynamic analysis and comparison has been performed between the old and the retrofitted heating and DHW facility of four dwelling blocks located in Bilbao. Having obtained the heating and DHW demands, the corresponding exergy demands were calculated, both by the simplified and detailed method. Once the productive structure is defined, Symbolic Thermoeconomics is applied. The exergy analysis shows the improvement achieved with retrofitting, going from a 2.55% yearly average exergy efficiency of the old facility to a 4.01% value for the retrofitted. Then, exergy costs and exergoeconomic costs of the products of each component, particularly the costs of the final products, heating and DHW, are expressed as the amount of external resources required for obtaining them, either in energy or monetary units. As a result, those costs not including the investment costs, are reduced 32.71% for heating and 48.5% for DHW. Applying a general and rigorous mathematical approach, the thermodynamic nature of costs and their formation process are analysed.
引用
收藏
页码:119 / 133
页数:15
相关论文
共 27 条
[1]   Exergy analysis of a two-stage ground source heat pump with a vertical bore for residential space conditioning under simulated occupancy [J].
Ally, Moonis R. ;
Munk, Jeffrey D. ;
Baxter, Van D. ;
Gehl, Anthony C. .
APPLIED ENERGY, 2015, 155 :502-514
[2]   Energy and exergy analyses of the Danish industry sector [J].
Buhler, Fabian ;
Tuong-Van Nguyen ;
Elmegaard, Brian .
APPLIED ENERGY, 2016, 184 :1447-1459
[3]   Thermoeconomic analysis of a building energy system integrated with energy storage options [J].
Caliskan, Hakan ;
Dincer, Ibrahim ;
Hepbasli, Arif .
ENERGY CONVERSION AND MANAGEMENT, 2013, 76 :274-281
[4]   Energy and exergy analyses of ice rink buildings at varying reference temperatures [J].
Caliskan, Hakan ;
Hepbasli, Arif .
ENERGY AND BUILDINGS, 2010, 42 (09) :1418-1425
[5]   An energy and exergy analysis of a high-efficiency engine trigeneration system for a hospital: A case study methodology based on annual energy demand profiles [J].
do Espirito Santo, Denilson Boschiero .
ENERGY AND BUILDINGS, 2014, 76 :185-198
[6]   A dual-benchmark based energy analysis method to evaluate control strategies for building HVAC systems [J].
Du, Zhimin ;
Jin, Xinqiao ;
Fang, Xing ;
Fan, Bo .
APPLIED ENERGY, 2016, 183 :700-714
[7]   Exergoeconomic comparison of double effect and combined ejector-double effect absorption refrigeration systems [J].
Farshi, L. Garousi ;
Mahmoudi, S. M. S. ;
Rosen, M. A. .
APPLIED ENERGY, 2013, 103 :700-711
[8]   EXERGY ECONOMICS [J].
GAGGIOLI, RA ;
WEPFER, WJ .
ENERGY, 1980, 5 (8-9) :823-837
[9]   A hybrid Genetic Algorithm and Monte Carlo simulation approach to predict hourly energy consumption and generation by a cluster of Net Zero Energy Buildings [J].
Garshasbi, Samira ;
Kurnitski, Jarek ;
Mohammadi, Yousef .
APPLIED ENERGY, 2016, 179 :626-637
[10]   Energy and exergy analyses of Photovoltaic/Thermal flat transpired collectors: Experimental and theoretical study [J].
Gholampour, Maysam ;
Ameri, Mehran .
APPLIED ENERGY, 2016, 164 :837-856