Resources
Downloads
Electrical Storage Integration PyLESA Model
PV Panel Integration PyLESA Model
Electrical Storage and PV panel Integration PyLESA Model
Links
Bibliography
Antonopoulos, I. et al., 2020. Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey. Renewable and Sustainable Energy Reviews, Volume 130.
Bremdal, B. A., Saele, H., Mathisen, G. & Degefa, M. Z., 2018. Flexibility offered to the distribution grid from households with a photovoltaic panel on their roof: Results and experiences from several pilots in a Norwegian research project. IEEE International energy conference (ENERGYCON), pp. 1-6.
Carbon Co-Op, 2013. Carbon Co0op People Powered Booklet. [Online]
Available at: https://cc-site-media.s3.amazonaws.com/uploads/2020/04/CarbonCoopPeoplePoweredBooklet.pdf
[Accessed 15 March 2021].
Carbon Co-op, 2019. OpenDSR. [Online]
Available at: https://carbon.coop/portfolio/opendsr/
[Accessed 18 March 2021].
Carbon Co-Op, 2020. Next Generation case study: Carbon Co-op – Energy Data Co-operative December 2020. [Online]
Available at: https://www.powertochange.org.uk/research/carbon-co-op/
[Accessed 15 March 2021].
DarkSky, n.d. 35 Findhorn, Erskine, Scotland. [Online]
Available at: https://darksky.net/forecast/55.9076,-4.46/us12/en
[Accessed 7 5 2021].
Easter, D., 2020. Findhorn wind park generators connection policy. [Online]
Available at: https://www.newfindhorndirections.co.uk/wp-content/uploads/2020/10/20-09-30-FWP-Generators-Notice.pdf
[Accessed 10 May 2021].
Energy Local, 2017. Clwb Bethesda Club. [Online]
Available at: http://www.energylocal.co.uk/wp-content/uploads/2015/02/Bethesda-Survey-Results-final.pdf.
[Accessed 15 March 2021].
Energy Local, 2021. Home. [Online]
Available at: http://www.energylocal.co.uk/
[Accessed 10 March 2021].
Flett, G., Lyden, A. & Tuohy, P., 2020. Design of an Integrated Smart Energy System (SES) Service for Sustainable Buildings and Districts: ETP Report, Glasgow: University of Strathclyde, Department of Mechanical and Aerospace Engineering.
Frison, L., Kleinstuck, M. & Engelmann, P., 2019. Model-predictive control for testing energy flexible heat pump operation within a Hardware-in-the-Loop setting. Journal of Physics: Conference Series, Volume 1343.
Hayes-Phillips, D., Bentham, R., Ross, K. & Whiley, H., 2019. Factors Influencing Legionella Contamination of Domestic Household Showers. Pathogens, 8(1).
Kelly, N., Cockroft, J. & Ghauri, S., 2010. Performance analysis of air source heat pumps using detailed simulations and comparison to field trial data, Glasgow: University of Strathclyde.
Lea, T., 2017. CydYnni – Energy Local, community hydro smart grid. [Online]
Available at: https://blog.openenergymonitor.org/2017/08/cydynni-energylocal/
[Accessed 10 March 2021].
LG, 2013. LG MonoX Neon 280-300. [Online]
Available at: https://solarnl.nl/upload/lgmonoxneon280-300_czwart_frame_witte%20backsheet.pdf
[Accessed 10 May 2021].
Lyden, A., 2020. Modelling and Design of Local Energy Systems Incorporating Heat Pumps, Thermal Storage, Future Tariffs, and Model Predictive Control, University of Strathclyde, Glasgow: Energy Systems Research Unit Department of Mechanical and Aerospace Engineering .
Mosavi, A., Faizollahzadeh Ardabili, S. & Shamshirband, S., 2019. Demand prediction with machine learning models: State of the art and a systematic review of advances., s.l.: s.n.
Nosratabadi, S. et al., 2019. State of the art survey of deep learning and machine learning models for smart cities and urban sustainability. International Conference on Global Research and Education, pp. 228-238.
Octopus Energy, n.d. About us. [Online]
Available at: https://octopus.energy/about-us/
[Accessed 2 February 2021].
Octopus Energy, n.d. Agile. [Online]
Available at: https://octopus.energy/agile/
[Accessed 2 February 2021].
OpenWeather, n.d. Weather API. [Online]
Available at: https://openweathermap.org/api
[Accessed 7 05 2021].
Payne, V. & O'Neal, D., 1995. Defrost cycle performance for an air-source heat pump with a scroll and a reciprocating compressor. International Journal of Refrigeration, 18(2), pp. 107-122.
Pérez, R. L., 2021. Investigation Into The Use Of Open Energy Monitoring Systems For Smart Energy Systems Performance Monitoring, Glasgow: University of Strathclyde.
Rolandoa, D. et al., 2017. Heat pump system control: the potential improvement based on perfect prediction of weather forecast and user occupancy. Rotterdam, 12th IEA Heat Pump Conference.
Solcast, n.d. API Documentation. [Online]
Available at: https://solcast.com/solar-data-api/api/
[Accessed 7 5 2021].
Stiel, A. & Skyllas-Kazacos, M., 2012. Feasibility Study of Energy Storage Systems in Wind/Diesel Applications Using the HOMER Model. Applied Sciences, 2(4), pp. 726-737.
Tarish Haider, H., Hang See, O. & Elmenreich, W., 2016. A Review of Residential Demand Response of Smart Grid. Renewable and Sustainable Energy Reviews, Volume 59, pp. 166-178.
Tesla, 2018. Tesla powerwall 2 AC datasheet - United Kingdom. [Online]
Available at: https://www.tesla.com/sites/default/files/pdfs/powerwall/Powerwall%202_AC_Datasheet_en_GB.pdf
[Accessed 10 May 2021].
Tuohy, P. et al., 2015. Orchestration of Renewable Generation in Low Energy Buildings and Districts using Energy Storage and Load Shaping. Energy Procedia, Volume 78, pp. 2172-2177.
University of Strathclyde, ESRU, n.d. Program Downloads. [Online]
Available at: http://www.esru.strath.ac.uk/Downloads/downloads.htm
[Accessed 7 5 2021].
Vestas, 1996. General Specification: Vestas V29-225kW , s.l.: Vestas.
Vestas, n.d. Product Description: Vestas Wind Turbine, s.l.: Vestas.