How Much Building Renewable Energy Is Enough? The Vertical City Weather Generator (VCWG v1.4.4)

被引:13
作者
Aliabadi, Amir A. [1 ]
Moradi, Mohsen [1 ]
McLeod, Rachel M. [1 ]
Calder, David [2 ]
Dernovsek, Robert [2 ]
机构
[1] Univ Guelph, Sch Engn, Guelph, ON N1G 2W1, Canada
[2] Blue Valley Bldg Corp, 76 Dawson Rd, Guelph, ON N1H 1A8, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
alternative energy; building science; building performance simulation; climate change; renewable energy; urban climate; PHASE-CHANGE MATERIALS; URBAN CANOPY MODEL; THERMAL PERFORMANCE; HEAT-STORAGE; PCM; OPTIMIZATION; COMFORT; SYSTEMS; DESIGN; ROOF;
D O I
10.3390/atmos12070882
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A challenge in the integration of renewable and alternative energy systems for buildings is the determination of the renewable energy ratio, which involves the selection and sizing of appropriate building systems. To address this need, a micro climate-weather software titled the Vertical City Weather Generator (VCWG) is further developed to include renewable and alternative energy systems and account for full two-way interaction between the building system and outdoor environment. VCWG is forced to simulate performance of a residential building in Guelph, Canada, for an entire year in 2015. Various energy options are considered and further optimized for the building to reduce natural gas consumption, electricity consumption, and cost. On an annual basis using the global cost method, and compared to a building with no such renewable or alternative energy systems, the optimized system resulted in 80.3% savings in natural gas consumption, 73.4% savings in electricity consumption, and 3% savings is annualized cost. According to this analysis, some technologies, such as photovoltaics are more favorable in the Canadian climate than other technologies. It is suggested that the building optimization process is not unique, and it depends on background climate, optimization weighing factors, and assumptions used in the economic analysis, which require further research.
引用
收藏
页数:33
相关论文
共 54 条
[1]   Nanofluid based grid connected PV/T systems in Malaysia: A technoeconomical assessment [J].
Al-Waeli, Ali H. A. ;
Sopian, K. ;
Kazem, Hussein A. ;
Chaichan, Miqdam T. .
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2018, 28 :81-95
[2]   Flow and temperature dynamics in an urban canyon under a comprehensive set of wind directions, wind speeds, and thermal stability conditions [J].
Aliabadi, A. A. ;
Moradi, M. ;
Clement, D. ;
Lubitz, W. D. ;
Gharabaghi, B. .
ENVIRONMENTAL FLUID MECHANICS, 2019, 19 (01) :81-109
[3]   COST-EFFECTIVE AND RELIABLE DESIGN OF A SOLAR THERMAL POWER PLANT [J].
Aliabadi, A. A. ;
Wallace, J. S. .
TRANSACTIONS OF THE CANADIAN SOCIETY FOR MECHANICAL ENGINEERING, 2009, 33 (01) :25-37
[4]   The budgets of turbulence kinetic energy and heat in the urban roughness sublayer [J].
Aliabadi, Amir A. ;
Moradi, Mohsen ;
Byerlay, Ryan A. E. .
ENVIRONMENTAL FLUID MECHANICS, 2021, 21 (04) :843-884
[5]   Effects of Roof-Edge Roughness on Air Temperature and Pollutant Concentration in Urban Canyons [J].
Aliabadi, Amir A. ;
Krayenhoff, E. Scott ;
Nazarian, Negin ;
Chew, Lup Wai ;
Armstrong, Peter R. ;
Afshari, Afshin ;
Norford, Leslie K. .
BOUNDARY-LAYER METEOROLOGY, 2017, 164 (02) :249-279
[6]   Performance assessment and optimization of a solar cooling system to satisfy renewable energy ratio (RER) requirements in multi-family buildings [J].
Bilardo, Matteo ;
Ferrara, Maria ;
Fabrizio, Enrico .
RENEWABLE ENERGY, 2020, 155 (155) :990-1008
[7]  
Bland A, 2017, BUILDINGS, V7, DOI 10.3390/buildings7030078
[8]   Economic comparison of TABS, PCM ceiling panels and all-air systems for cooling offices [J].
Boccardo, Luca Bergia ;
Kazanci, Ongun Berk ;
Allerhand, Jose Quesada ;
Olesen, Bjarne W. .
ENERGY AND BUILDINGS, 2019, 205
[9]   Development and evaluation of a building energy model integrated in the TEB scheme [J].
Bueno, B. ;
Pigeon, G. ;
Norford, L. K. ;
Zibouche, K. ;
Marchadier, C. .
GEOSCIENTIFIC MODEL DEVELOPMENT, 2012, 5 (02) :433-448
[10]   Computationally efficient prediction of canopy level urban air temperature at the neighbourhood scale [J].
Bueno, Bruno ;
Roth, Matthias ;
Norford, Leslie ;
Li, Reuben .
URBAN CLIMATE, 2014, 9 :35-53