How much would you be willing to pay to not have your morning coffee?

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Presentation transcript:

How much would you be willing to pay to not have your morning coffee?

Emmi Kosomaa & Anton Närekorpi 16.4.2019 ELEC-E8423 - Smart Grid DR limitations set by human comfort requirements. Heat gains, heating and cooling, and demand flexibility Emmi Kosomaa & Anton Närekorpi 16.4.2019

Technological requirements Introduction Traditionally: “Technology enables demand response” But is there a conflict between technological efforts and human comfort? Technological requirements Human comfort “ If the wind fails to blow, would households be willing to go to bed in the dark? Forego cooked breakfast and coffee? (Smale et al., 2017)

A short reminder of demand response (Lawrence et al., 2016) Demand Response = shifting non-critical loads to off peak hours Buildings responsible for 40% of world’s total energy use heating, cooling and refrigeration responsible for 50% of this Especially high demand buildings good for demand response District heating/cooling Electrical heating/cooling

Human behaviour sets limits to DR 3 different ways to use load (heating or electricity): Time critical Not time critical Continuous Understanding human habits is crucial when considering shifting heat usage Going to shower every morning At least +21C room temperature in the living room Who is willing to change their family dinner eating pattern just because electricity spot prices? (Smale et al., 2017)

How can we alter the limitations? Money People are willing to sacrifice a little of their comfort in exchange of money However: people are not rational decision makers that try to maximize their monetary income - should be done by machines! Comfort If the DR is managed and the same time comfort level is increased: easy decision DR is possible without any loss to comfort levels (Kärkkäinen et al., 2003)

The use of the building affects the human requirements Different building types, owners and usage: Residential: Comfort, cozyness, low effort… Varies a lot Office: Previously: stable comfort levels In the future: flexibility, (energy) efficiency, innovative environment…? Commercial: Cost, environmental responsibility as main factors? (Skanska, 2012) Location as a factor → Heat gain, culture

Implementing DR isn’t possible without considering human factors Conclusions Implementing DR isn’t possible without considering human factors Customers value money and comfort levels more than the technology itself Human factors depend on multiple attributes: User, building type, usage, ownership...

Source material used Smale et al. 2017. When social practices meet smart grids: Flexibility, grid management, and domestic consumption in The Netherlands. Energy Research & Social Science. Volume 34, December 2017, Pages 132-140. DOI: https://doi.org/10.1016/j.erss.2017.06.037. Lawrence et al., 2016, Ten questions concerning integrating smart buildings into the smart grid, Building and Environment. Volume 108, November 2016, pp. 273-283. DOI: https://doi.org/10.1016/j.buildenv.2016.08.022 Kärkkäinen et al. 2003. Demand side management of the district heating systems. VTT. Web publishment. Cited 15.4.2019. Available: https://www.vtt.fi/inf/pdf/tiedotteet/2004/T2247.pdf. Skanska. 2012. Tulevaisuuden Työympäristö -barometri 2012: Toimitiloilta vaaditaan tehokkuutta, joustavuutta ja ympäristövastuullisuutta. Press release. Cited 15.4.2019. Available: https://www.skanska.fi/tietoa-skanskasta/media/uutiset/50696/Tulevaisuuden-Tyoymparisto- barometri-2012-Toimitiloilta-vaaditaan-tehokkuutta%2C-joustavuutta-ja-ymparistovastuullisuutta.

Thank you for your attention!