Low-cost Building Integrated Renewables through General Algebraic Modelling System

Mohammad Sameti

Abstract


Distributed generation takes advantage of small on-site renewable energy sources (solar, wind, geothermal and wave energies) deployed at individual houses to provide electrical energy. In this way, electricity will be generated more efficiently especially by reducing demand peaks. In this paper, the electrical energy balance of a typical residential building is modeled. The grid-connected house is also in connection with a hybrid wind turbine and photovoltaic array together with a battery storage system. The cost of electricity purchased from the electrical grid was optimized to its minimum level using general algebraic modelling system. The results showed that, considering a load profile with 21.675  for daily consumption, a 3  PV array with a 2  wind turbine and a 5  battery could save 96% of the monthly electricity bill; from 2’377 to 66’960 dollars. Excluding battery storage, this saving was reduced to 74%.

Keywords


General Algebraic Modelling System; Energy Efficient Buildings; Energy Storage; Energy Cost Optimization.

Full Text:

PDF

References


- www.zeb.aau.dk/digitalAssets/29/29578_nzeb-working-definition.pdf (accessed 2014/22/07)

-www.sustainableconstructionservices.com.au/products/future-products (accessed 2014/22/07)

- Scognamiglio, A., & Røstvik, H. N. (2012). Photovoltaics and zero energy buildings: a new opportunity and challenge for design. Progress in Photovoltaics: Research and Applications.

- Patel, M. R. (2005). Wind and solar power systems: design, analysis, and operation. CRC press.

- Tiwari, G. N., & Dubey, S. (2010). Fundamentals of photovoltaic modules and their applications (No. 2). Royal Society of Chemistry.

- solarexpert.com/solar-electric/performance-factors (accessed 2014/22/07)

- www.pfr.co.uk/cloich/15/Wind-Power/119/Capacity-Factor (accessed 2013/22/07)

- www.solarchoice.net.au/blog/victorian-government-applauded-for-energy-efficiency-project (accessed 2013/22/07)

-www.ontarioenergyboard.ca/OEB/Consumers/Electricity/Electricity+Prices (accessed 2013/22/07)

- tanfon.en.alibaba.com/product/577125632-209438303/3kw_to_5kw_wind_turbine_for_home_and_small_office_small_factory.html (accessed 2013/22/07)

- www.engr.colostate.edu/ALP/ALP_91_Byers_East.html (accessed 2013/22/07)

- http://blogs.scientificamerican.com/solar-at-home/2010/07/30/a-solar-detective-story-explaining-how-power-output-varies-hour-by-hour (accessed 2013/22/07)

- Arif, M. T., Oo, A. M., & Ali, A. S. (2013). Estimation of Energy Storage and Its Feasibility Analysis.

- The impact of commercial and residential sectors’ EEIs on electricity demand. EMET Consultants Pty Limited. 2004. Online resource: www.ret.gov.au/Documents/mce/energy-eff/nfee/_ documents/ consreport_07_.pdf

- www.gams.com (accessed 2014/22/07)




DOI (PDF): https://doi.org/10.20508/ijrer.v4i3.1536.g6402

Refbacks

  • There are currently no refbacks.


Online ISSN: 1309-0127

Publisher: Gazi University

IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);

IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.

WEB of SCIENCE between 2020-2022; 

h=30,

Average citation per item=5.73

Impact Factor=(1638+1731+1808)/(189+170+221)=9.24

Category Quartile:Q4