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Original Articles

The influence of simulation time-resolution on the matching between on-site micro-wind generation and building electric demand

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Pages 449-468 | Received 31 Mar 2015, Accepted 24 Jul 2015, Published online: 10 Sep 2015

References

  • Armstrong, M. M., M. C. Swinton, H. Ribberink, I. Beausoleil-Morrison, and J. Millette. 2009. “Synthetically Derived Profiles for Representing Occupant-driven Electric Loads in Canadian Housing.” Journal of Building Performance Simulation 2 (1): 15–30. doi: 10.1080/19401490802706653
  • Balcomb, J. D., J. C. Hedstrom, and R. D. McFarland. 1977. “Simulation Analysis of Passive Solar Heated Buildings—Preliminary Results.” Solar Energy 19: 277–282. doi: 10.1016/0038-092X(77)90071-8
  • Bollen, M., and F. Hassan. 2011. Integration of  Distributed Generation in the Power System. Hoboken, NJ: John Wiley & Sons.
  • Born, F. 2001. “Aiding Renewable Energy Integration through Complementary Demand-Supply Matching.” PhD diss., Glasgow: University of Strathclyde. http://www.esru.strath.ac.uk.
  • Braun, M., T. Stetz, R. Bründlinger, C. Mayr, K. Ogimoto, H. Hatta, H. Kobayashi, et al. 2012. “Is the Distribution Grid Ready to Accept Large-scale Photovoltaic Deployment? State of the Art, Progress, and Future Prospects.” Progress in Photovoltaics 20: 681–697. doi: 10.1002/pip.1204
  • Bueno, B., L. Norford, J. Hidalgo, and G. Pigeon. 2013. “The Urban Weather Generator.” Journal of Building Performance Simulation 6 (4): 269–281. doi: 10.1080/19401493.2012.718797
  • Cao, S., A. Hasan, and K. Sirén. 2013a. “On-site Energy Matching Indices for Buildings with Energy Conversion, Storage and Hybrid Grid Connections.” Energy and Buildings 64: 423–438. doi: 10.1016/j.enbuild.2013.05.030
  • Cao, S., A. Hasan, and K. Sirén. 2013b. “Analysis and Solution for Renewable Energy Load Matching for a Single-family House.” Energy and Buildings 65: 398–411. doi: 10.1016/j.enbuild.2013.06.013
  • Cao, S., and K. Sirén. 2014. “Impact of Simulation Time-resolution on the Matching of PV Production and Household Electric Demand.” Applied Energy 128: 192–208. doi: 10.1016/j.apenergy.2014.04.075
  • Capasso, A., W. Grattieri, R. Lamedica, and A. Prudenzi. 1994. “A Bottom-up Approach to Residential Load Modeling.” IEEE Transactions on Power Systems 9 (2): 957–964. doi: 10.1109/59.317650
  • Cuesta, A. B., F. J. Gomez-Gil, J. V. M. Fraile, J. A. Rodríguez, J. R. Calvo, and J. P. Vara. 2013. “Feasibility of a Simple Small Wind Turbine with Variable-speed Regulation Made of Commercial Components.” Energies 6: 3373–3391. doi: 10.3390/en6073373
  • DECC (Department of Energy and Climate Change, formerly the Department for Business, Enterprise and Regulatory Reform) UK. 2009. Energy Consumption in the UK, Domestic  Data Tables. London, UK: A National Statistics Publication.
  • Eames, M., T. Kershaw, and D. Coley. 2012. “The Appropriate Spatial Resolution of Future Weather Files for Building Simulation.” Journal of Building Performance Simulation 5 (6): 347–358. doi: 10.1080/19401493.2011.608133
  • Elkinton, M. R., J. G. McGowan, and J. F. Manwell. 2009. “Wind Power Systems for Zero Net Energy Housing in the United States.” Renewable Energy 34 (5): 1270–1278. doi: 10.1016/j.renene.2008.10.007
  • EST (Energy Saving Trust). 2006. Domestic heating by electricity. 2006 ed. CE185, UK.
  • Ferrante, A., and M. T. Cascella. 2011. “Zero Energy Balance and Zero On-site CO2 Emission Housing Development in the Mediterranean Climate.” Energy and Buildings 43: 2002–2010. doi: 10.1016/j.enbuild.2011.04.008
  • Ferrey, S. 2008. “Net Metering.” Encyclopedia of Energy Engineering and Technology. doi:10.1081/E-EEE-120043205.
  • Finnwind Oy. 2011. “The Technical Description of the Finnwind Wind Turbine E200 (in Finnish).” Finnwind Oy. http://www.finnwind.fi/dk/tuuli/Tuule_E200_tekninen_kuvaus.pdf.
  • Gsänger, S., and J. Pitteloud. 2015. “2015 Small Wind World Report Summary.” Published by World Wind Energy Association, Presented by New Energy Husum. http://small-wind.org/wp-content/uploads/2014/12/Summary_SWWR2015_online.pdf.
  • Haase, M., R. Woods, and K. Skeie. 2014. “Capacities in Shopping Malls to Supply Grid Services.” Proceedings of the 20th annual international sustainable development research conference (ISDRC 2014), Trondheim, Norway, June 18–20.
  • Hawkes, A., and M. Leach. 2005. “Impacts of Temporal Precision in Optimisation Modelling of Micro-combined Heat and Power.” Energy 30: 1759–1779. doi: 10.1016/j.energy.2004.11.012
  • Hoevenaars, E. J., and C. A. Crawford. 2012. “Implications of Temporal Resolution for Modeling Renewables-based Power Systems.” Renewable Energy 41: 285–293. doi: 10.1016/j.renene.2011.11.013
  • Hogan, K. 2009. Urban Micro Wind Turbines. Victoria University of Wellington, New Zealand. http://www.victoria.ac.nz/scps/research/attachments/turbinepres.pdf.
  • HVAC Aalto. 2015a. The Semi-practical Emulator, Laboratory of HVAC, Department of Energy Technology, Aalto University, Finland. http://ene.aalto.fi/en/.
  • HVAC Aalto. 2015b. The High-resolution Weather Station, Laboratory of HVAC, Department of Energy Technology, Aalto University, Finland. http://ene.aalto.fi/en/.
  • Johansson, D., and H. Bagge. 2011. “Simulating Space Heating Demand with Respect to Non-constant Heat Gains from Household Electricity.” Journal of Building Performance Simulation 4 (3): 227–238. doi: 10.1080/19401493.2010.528030
  • Kapsalaki, M., V. Leal, and M. Santamouris. 2012. “A Methodology for Economic Efficient Design of Net Zero Energy Buildings.” Energy and Buildings 55: 765–778. doi: 10.1016/j.enbuild.2012.10.022
  • Kılkış, Ş. 2012. “A Net-zero Building Application and Its Role in Exergy-aware Local Energy Strategies for Sustainability.” Energy Conversion and Management 63: 208–217. doi: 10.1016/j.enconman.2012.02.029
  • Klein, S. A., W. A. Beckman, and J. A. Duffie. 1976. “A Design Procedure for Solar Heating Systems.” Solar Energy 18: 113–127. doi: 10.1016/0038-092X(76)90044-X
  • Kleissl, J. 2013. Solar Energy Forecasting and Resource Assessment. 1st ed. Oxford, UK: Academic Press.
  • Kokkaliaris, S., and E. A. Maria. 2015. “The Legislative Initiatives for Smart Metering as a Precondition to Zero Energy: The Case of Greece.” Advances in Building Energy Research 9 (1): 55–72. doi: 10.1080/17512549.2014.923327
  • Li, R., and R. Ooka. 2014. “Multi-variable Optimization of HVAC System Using a Genetic Algorithm.” Journal of Energy and Power Engineering 8: 306–312.
  • Lund, H., A. Marszal, and P. Heiselberg. 2011. “Zero Energy Buildings and Mismatch Compensation Factors.” Energy and Buildings 43: 1646–1654. doi: 10.1016/j.enbuild.2011.03.006
  • Luthander, R., J. Widén, D. Nilsson, and J. Palm. 2015. “Photovoltaic Self-consumption in Buildings: A Review.” Applied Energy 142: 80–94. doi: 10.1016/j.apenergy.2014.12.028
  • Meteonorm. 2015. “Meteonorm: TMY3.” http://meteonorm.com/en/downloads/tmy3.
  • Morren, J., J. Pierik, and S. W. H. de Haan. 2006. “Inertial Response of Variable Speed Wind Turbines.” Electric Power Systems Research 76: 980–987. doi: 10.1016/j.epsr.2005.12.002
  • Murphy, G. B., M. Kummert, B. R. Anderson, and J. Counsell. 2011. “A Comparison of the UK Standard Assessment Procedure and Detailed Simulation of Solar Energy Systems for Dwellings.” Journal of Building Performance Simulation 4 (1): 75–90. doi: 10.1080/19401493.2010.494734
  • Nguyen, A. T., and S. Reiter. 2014. “Passive Designs and Strategies for Low-cost Housing Using Simulation-based Optimization and Different Thermal Comfort Criteria.” Journal of Building Performance Simulation 7 (1): 68–81. doi: 10.1080/19401493.2013.770067
  • NOVA NEW ENERGY. 2015. “Commercial Product of Grid Connected Wind Turbine Inverter.” http://www.alibaba.com/product-detail/grid-connected-wind-turbine-inverter_1591638058.html.
  • NREL (Renewable Resource Data Center). 1990. “National Solar Radiation Data Base. 1961–1990: Typical Meteorological Year 2.” http://rredc.nrel.gov/solar/old_data/nsrdb/1961-1990/tmy2/.
  • NREL (Renewable Resource Data Center). 2005. “National Solar Radiation Data Base. 1991–2005 Update: Typical Meteorological Year 3.” http://rredc.nrel.gov/solar/old_data/nsrdb/1991-2005/tmy3/.
  • Paatero, J., and P. Lund. 2006. “A Model for Generating Household Electricity Load Profiles.” International Journal of Energy Research 30 (5): 273–290. doi: 10.1002/er.1136
  • Pernigotto, G., A. Prada, A. Gasparella, and J. L. M. Hensen. 2014. “Analysis and Improvement of the Representativeness of EN ISO 15927-4 Reference Years for Building Energy Simulation.” Journal of Building Performance Simulation 7 (6): 391–410. doi: 10.1080/19401493.2013.853840
  • Posintra. 2014. “Skaftkärr Project (in Finnish and Swedish).” http://www.skaftkarr.fi/.
  • Posintra. 2015. “The company of Posintra (Posintra Oy).” http://www.posintra.fi/.
  • Probst, O., J. Martínez, J. Elizondo, and O. Monroy. 2011. “Small Wind Turbine Technology.” In Wind Turbines, edited by Al-Bahadly Ibrahim 107–136. Rijeka, Croatia: Intech.
  • Quinlan, P. J. 1996. “Time Series Modeling of Hybrid Wind Photovoltaic Diesel Power Systems.” M.Sc thesis, Madison, Wisconsin (US): University of Wisconsin-Madison.
  • Quinlan, P. J. 2000. “A Time-series Wind Turbine Array Simulator.” Proceedings of ASES conference SOLAR 2000, Madison, US, 2000.
  • Richardson, I., M. Thomson, D. Infield, and C. Clifford. 2010. “Domestic Electricity Use: A High-resolution Energy Demand Model.” Energy and Buildings 42: 1878–1887. doi: 10.1016/j.enbuild.2010.05.023
  • Rysanek, A. M., and R. Choudhary. 2015. “DELORES – An Open-source Tool for Stochastic Prediction of Occupant Services Demand.” Journal of Building Performance Simulation 8 (2): 97–118. doi: 10.1080/19401493.2014.888595
  • Saldanha, N., and I. Beausoleil-Morrison. 2012. “Measured End-use Electric Load Profiles for 12 Canadian Houses at High Temporal Resolution.” Energy and Buildings 49: 519–530. doi: 10.1016/j.enbuild.2012.02.050
  • Sari, D. P., and W. B. Kusumaningrum. 2014. “A Technical Review of Building Integrated Wind Turbine System and a Sample Simulation Model in Central Java, Indonesia.” Energy Procedia 47: 29–36. doi: 10.1016/j.egypro.2014.01.193
  • Satellight. 2015. “Satel_Light- The European Database of Daylight and Solar Radiation.” http://www.satellight.com/core.htm.
  • SEL (Solar Energy Laboratory, Univ. of Wisconsin-Madison), TRANSSOLAR (TRANSSOLAR Energietechnik GmbH), CSTB (Centre Scientifique et Technique du Bâtiment), and TESS (Thermal Energy Systems Specialists). 2010. “TRNSYS 17 A Transient System Simulation Programme Volume 4 Mathematical Reference.” The documentations attached in the software package of TRNSYS 17 for the Standard Component Library.
  • SolarGIS. 2015. “ SolarGIS Database.” https://solargis.info/purchase/#tl=satellite&bm=satellite&ot=CLIMDATA.
  • Steijger, L. A., R. A. Buswell, V. A. Smedley, S. K. Firth, and P. Rowley. 2013. “Establishing the Zero-carbon Performance of Compact Urban Dwellings.” Journal of Building Performance Simulation 6 (4): 319–334. doi: 10.1080/19401493.2012.724086
  • Sun, Y. 2015. “Sensitivity Analysis of Macro-parameters in the System Design of Net Zero Energy Building.” Energy and Buildings 86: 464–477. doi: 10.1016/j.enbuild.2014.10.031
  • Sun, Y., P. Huang, and G. Huang. 2015. “A Multi-criteria System Design Optimization for Net Zero Energy Buildings Under Uncertainties.” Energy and Buildings 97: 196–204. doi: 10.1016/j.enbuild.2015.04.008
  • Tian, W., and P. de Wilde. 2011. “Thermal Building Simulation Using the UKCP09 Probabilistic Climate Projections.” Journal of Building Performance Simulation 4 (2): 105–124. doi: 10.1080/19401493.2010.502246
  • TUS (Time Use Survey). 2000. Ipsos-RSL and Office for National Statistics, United Kingdom Time Use Survey (Computer File). 3rd ed. UK Data Archive (distributor), Colchester, Essex, SN: 4504.
  • Wiberg, A. H., L. Georges, T. H. Dokka, M. Haase, B. Time, A. G. Lien, S. Mellegård, et al. 2014. “A Net Zero Emission Concept Analysis of a Single-family House.” Energy and Buildings 74: 101–110. doi: 10.1016/j.enbuild.2014.01.037
  • Widén, J., A. Molin, and K. Ellegård. 2012. “Models of Domestic Occupancy, Activities and Energy Use Based On Time-use Data: Deterministic and Stochastic Approaches with Application to Various Building-related Simulations.” Journal of Building Performance Simulation 5 (1): 27–44. doi: 10.1080/19401493.2010.532569
  • Widén, J., E. Wäckelgård, J. Paatero, and P. Lund. 2010. “Impacts of Different Data Averaging Times on Statistical Analysis of Distributed Domestic Photovoltaic Systems.” Solar Energy 84: 492–500. doi: 10.1016/j.solener.2010.01.011
  • Wright, A., and S. Firth. 2007. “The Nature of Domestic Electricity-loads and Effects of Time Averaging on Statistics and On-site Generation Calculations.” Applied Energy 84: 389–403. doi: 10.1016/j.apenergy.2006.09.008
  • WWEA (World Wind Energy Association). 2015a. “WWEA Small Wind Platform.” World Wind Energy Association WWEA e.V. http://small-wind.org/.
  • WWEA (World Wind Energy Association). 2015b. “New FITs for Small Wind in Denmark and Poland create Interesting Market Prospects.” World Wind Energy Association WWEA e.V. http://small-wind.org/new-fits-for-small-wind-in-denmark-and-poland-create-interesting-market-prospects/.

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