Energy matching analysis of on-site micro-cogeneration for a single-family house with thermal and electrical tracking strategies

被引:35
作者
Cao, Sunliang [1 ]
Mohamed, Ayman [1 ]
Hasan, Ala [2 ]
Siren, Kai [1 ]
机构
[1] Aalto Univ, Sch Engn, Dept Energy Technol, HVAC Technol, FI-00076 Aalto, Finland
[2] Tech Res Ctr Finland VTT, FI-02044 Espoo, Finland
基金
芬兰科学院;
关键词
Micro combined heat and power; Energy matching analysis; Mismatch; Electrical grid feed-in; Thermal heat grid feed-in; Building; CHP SYSTEMS; PERFORMANCE ASSESSMENT; RENEWABLE ENERGY; BUILDINGS; BIOMASS;
D O I
10.1016/j.enbuild.2013.09.037
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper conducts matching analysis for micro-cogeneration products with generated electrical power (G(elec)) range 0.5-2.0 kWe and electrical to thermal ratio (ETTR) range 0.05-0.80 for a Finnish single-family house. Using the recently defined matching indices and evolved criteria, the matching capabilities are comprehensively assessed from both electrical and thermal heat matching aspects. Furthermore, both of the thermal tracking (with electrical grid feed-in) and electrical tracking (with thermal heat grid feed-in) strategies are considered. The simulation tool is TRNSYS 17. In terms of the averaged matching index under the thermal tracking strategy without battery, the best matching happens with a fuel cell with G(elec) of 1.5 kWe and ETTR of 0.8, whereas under the condition with battery, the best matching happens with a Stirling engine or internal combustion engine with G(elec) of 1.0 kWe and ETTR of 0.3. Under the electrical tracking strategy, the best matching happens with a Stirling engine with G(elec) of 1.0-2.0 kWe and ETTR of 0.25. However, by putting certain preferences on the specific aspects of the matching capability, the best matching might be altered, which can be assessed using a weighted matching index. There is no linear relation between matching and primary energy consumption. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:351 / 363
页数:13
相关论文
共 28 条
[1]  
[Anonymous], SOLID SOLAR DISTRICT
[2]   Analysis of innovative micro-CHP systems to meet household energy demands [J].
Barbieri, Enrico Saverio ;
Spina, Pier Ruggero ;
Venturini, Mauro .
APPLIED ENERGY, 2012, 97 :723-733
[3]   LCE analysis of buildings - Taking the step towards Net Zero Energy Buildings [J].
Berggren, Bjorn ;
Hall, Monika ;
Wall, Maria .
ENERGY AND BUILDINGS, 2013, 62 :381-391
[4]   Guidelines for residential micro-CHP systems design [J].
Bianchi, Michele ;
De Pascale, Andrea ;
Spina, Pier Ruggero .
APPLIED ENERGY, 2012, 97 :673-685
[5]   Matching analysis for on-site hybrid renewable energy systems of office buildings with extended indices [J].
Cao, Sunliang ;
Hasan, Ala ;
Siren, Kai .
APPLIED ENERGY, 2014, 113 :230-247
[6]   On-site energy matching indices for buildings with energy conversion, storage and hybrid grid connections [J].
Cao, Sunliang ;
Hasan, Ala ;
Siren, Kai .
ENERGY AND BUILDINGS, 2013, 64 :423-438
[7]   Validated dynamic energy model for a Stirling engine μ-CHP unit using field trial data from a domestic dwelling [J].
Conroy, G. ;
Duffy, A. ;
Ayompe, L. M. .
ENERGY AND BUILDINGS, 2013, 62 :18-26
[8]   Micro-CHP systems for residential applications [J].
De Paepe, Michel ;
D'Herdt, Peter ;
Mertens, David .
ENERGY CONVERSION AND MANAGEMENT, 2006, 47 (18-19) :3435-3446
[9]   Development of small-scale and micro-scale biomass-fuelled CHP systems - A literature review [J].
Dong, Leilei ;
Liu, Hao ;
Riffat, Saffa .
APPLIED THERMAL ENGINEERING, 2009, 29 (11-12) :2119-2126
[10]   Performance assessment of fuel cell micro-cogeneration systems for residential buildings [J].
Dorer, V ;
Weber, R ;
Weber, A .
ENERGY AND BUILDINGS, 2005, 37 (11) :1132-1146