Iain Staffell

Electrical and Electronic Engineering · 2015–2021

A researcher in the Science corpus: 13 papers; trusts 21 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 78 citations into it; #8,255 of 16,539 by trust here, #4,069 by citations
• Economics and Econometrics — 44 citations into it
• Renewable Energy, Sustainability and the Environment — 40 citations into it; #1,824 of 5,212 by trust here, #3,880 by citations
• Aerospace Engineering — 24 citations into it
• Global and Planetary Change — 24 citations into it
• Environmental Engineering — 23 citations into it
• Sociology and Political Science — 20 citations into it
• Pollution — 13 citations into it

Whom Iain Staffell trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Adam Hawkes
2. D. Weisser
3. Henrik Lund
4. T. Bossmann
5. T. Chang
6. D. Connolly
7. Joseph Cullen
8. Lion Hirth
9. Stefan Pfenninger
10. Bjarne Steffen

Who trusts Iain Staffell overall

1. M. Joos
2. Gerrit Rentier
3. Grant Wilson

Papers from Iain Staffell's perspective

Ordered by how strongly the researchers Iain Staffell trusts endorse each paper. Same corpus, a different order for every researcher.

1. Modeling hourly electricity dynamics for policy making in long-term scenarios
2. Energy systems modeling for twenty-first century energy challenges
3. Estimating the value of electricity storage in PJM: Arbitrage and some welfare effects
4. Optimal operation strategies of compressed air energy storage (CAES) on electricity spot markets with fluctuating prices
5. Environmental and economical assessment of alternative marine fuels
6. A review of uncertainties in technology experience curves
7. A highly resolved modeling technique to simulate residential power demand
8. Beyond the learning curve: factors influencing cost reductions in photovoltaics
9. Induced Technological Change: Exploring its Implications for the Economics of Atmospheric Stabilization: Synthesis Report from the innovation Modeling Comparison Project
10. Learning rates for energy technologies

Their papers

• The future cost of electrical energy storage based on experience rates (2017) — 1,052 citations
• Maximising the value of electricity storage (2016) — 165 citations
• The impact of climate change on the levelised cost of wind energy (2017) — 121 citations
• Real-time carbon accounting method for the European electricity markets (2018) — 182 citations
• Projecting the Future Levelized Cost of Electricity Storage Technologies (2019) — 823 citations
• Measuring the progress and impacts of decarbonising British electricity (2017) — 126 citations
• The Shape of Future Electricity Demand: Exploring Load Curves in 2050s Germany and Britain (2015) — 242 citations
• Rapid fuel switching from coal to natural gas through effective carbon pricing (2018) — 184 citations
• How can LNG-fuelled ships meet decarbonisation targets? An environmental and economic analysis (2021) — 134 citations
• High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs (2021) — 176 citations
• Offshore wind competitiveness in mature markets without subsidy (2020) — 183 citations
• Short-term integration costs of variable renewable energy: Wind curtailment and balancing in Britain and Germany (2018) — 266 citations
• Power capacity expansion planning considering endogenous technology cost learning (vol 204, pg 831, 2017) (2017) — 155 citations