Sustainable Energy — Without the hot air

By D. MacIsaac. 2009

1,422 citations recorded by the source corpus.

Subfields: Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/cfb9fbbf6742175482e066f8f50c67dbc645c036

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In Renewable Energy, Sustainability and the Environment

Citations in the corpus

Energy systems modeling for twenty-first century energy challenges (2014, methodology): “Combining technical and behavioral aspects, Richardson et al. (2010) model domestic demand at a 1-minute resolution using a building occupancy and appliance use model, and combine this into an integrated model with rooftop solar photovoltaics (Richardson and Thomson, 2012).”
The role of pumped and waste heat technologies in a high-efficiency sustainable energy future for the UK (2013, background): “This “stop-gap” role of clean coal has also been identified by MacKay [17].”
Governing community energy: feed-in tariffs and the development of community wind energy schemes in the United Kingdom and Germany (2013, background): “This is an unintended consequence of liberalisation, the 'dash for gas' in the 1990s and the more general lack of energy infrastructure investments resulting in the 'energy gap' (MacKay, 2010;Mitchell, 2008).”
Agent-based control for decentralised demand side management in the smart grid (2011, background): “The heater we choose to model is a heat pump (either air-source or ground-source) which simply extracts heat from one place and moves it to another place [9].”
Agent-based micro-storage management for the Smart Grid (2010, background): “Given this, research has been focused on designing new efficient low cost storage devices that would be able to efficiently store electricity for long periods of time and allow a sufficient number of charging/discharging cycles without significant degradation in performance [8].”
Putting the 'smarts' into the smart grid (2012, background): “1 Likewise, our homes and offices will have to be heated by efficient ground and air source heat pumps powered by electricity rather than existing natural gas and oil fired boilers [22].”
Hybrid PV and solar-thermal systems for domestic heat and power provision in the UK: Techno-economic considerations (2016, background): “In the latter, including in China, India and the rest of the BRICKs, this has also arisen in response to the strong economic (and corresponding energy demand) growth that is being experienced and a desire to raise living standards that are correlated with higher energy use [1,2].”
Quantum dot integrated LEDs using photonic and excitonic color conversion (2011, background): “Fluorescence lamps were introduced as a solution to decrease the high energy consumption of lighting [4]; however, their light quality remains very low and further decrease in the energy consumption is desired.”
Tackling Climate Change with Machine Learning (2019, methodology): “lone could have a signiﬁcant impact, since many devices consume a large amount of electricity even when not in use; standby power consumption accounts for roughly 8% of residential electricity demand [685]. A variety of ML techniques have been used to effectively disaggregate household energy, such ”