The Experts below are selected from a list of 120 Experts worldwide ranked by ideXlab platform
Yingqi Liu - One of the best experts on this subject based on the ideXlab platform.
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Role of a forward-capacity market to promote electricity use reduction in the residential sector—a case study of the potential of social housing participation in the Electricity Demand Reduction Pilot in the UK
Energy Efficiency, 2018Co-Authors: Yingqi LiuAbstract:The residential sector is key for electricity Demand in many developed economies. Reducing electricity use in households is valuable for carbon mitigation and capacity adequacy and addressing fuel poverty. In many liberalised Systems, a forward-capacity market is established to remunerate resources’ capacity value, with some allowing electricity use reduction to participate. This paper focuses on the Electricity Demand Reduction Pilot in the UK that trials a novel approach of incentivising electric efficiency via the Great Britain capacity market. Using a case study of social housing, it identifies barriers faced by the residential sector to utilise funding from the pilot. While opportunities exist for electricity use reduction in lighting, appliances and heating, financial incentives based on the impact on System Peak Demand are unlikely to be attractive and disadvantage insulation and efficient heating System. Limited budget for electric efficiency project and inflexible requirement of over 2-year payback of Electricity Demand Reduction (EDR) Pilot pose the challenge of funding projects, especially for small organisations, even if they can deliver capacity value to the electricity System. The obligation to deliver and verify committed Peak savings and limited scope for payback present challenges and risks for projects to target potential opportunities within households. For communal electricity use, the minimum savings, cash flow and limited internal capabilities are constraints. Therefore, it is inadequate to rely on a forward-capacity market as a primary vehicle for incentivising electric efficiency investment in the residential sector, highlighting the importance of alternative provisions like supplier obligation and market transformation.
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role of a forward capacity market to promote electricity use reduction in the residential sector a case study of the potential of social housing participation in the electricity Demand reduction pilot in the uk
Energy Efficiency, 2018Co-Authors: Yingqi LiuAbstract:The residential sector is key for electricity Demand in many developed economies. Reducing electricity use in households is valuable for carbon mitigation and capacity adequacy and addressing fuel poverty. In many liberalised Systems, a forward-capacity market is established to remunerate resources’ capacity value, with some allowing electricity use reduction to participate. This paper focuses on the Electricity Demand Reduction Pilot in the UK that trials a novel approach of incentivising electric efficiency via the Great Britain capacity market. Using a case study of social housing, it identifies barriers faced by the residential sector to utilise funding from the pilot. While opportunities exist for electricity use reduction in lighting, appliances and heating, financial incentives based on the impact on System Peak Demand are unlikely to be attractive and disadvantage insulation and efficient heating System. Limited budget for electric efficiency project and inflexible requirement of over 2-year payback of Electricity Demand Reduction (EDR) Pilot pose the challenge of funding projects, especially for small organisations, even if they can deliver capacity value to the electricity System. The obligation to deliver and verify committed Peak savings and limited scope for payback present challenges and risks for projects to target potential opportunities within households. For communal electricity use, the minimum savings, cash flow and limited internal capabilities are constraints. Therefore, it is inadequate to rely on a forward-capacity market as a primary vehicle for incentivising electric efficiency investment in the residential sector, highlighting the importance of alternative provisions like supplier obligation and market transformation.
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Seasonal relationship of Peak Demand and energy impacts of energy efficiency measures—a review of evidence in the electric energy efficiency programmes
Energy Efficiency, 2016Co-Authors: Yingqi LiuAbstract:While energy efficiency programmes traditionally focus on energy savings, there is also a policy interest in their impact on System Peak Demand. Examples include Demand-side management, integrated resource planning and recent developments to integrate energy efficiency into forward capacity markets. However, there is only limited research on the relationship between Peak Demand impacts and overall energy savings from efficiency measures, although this relationship can have important bearings on efficiency programmes. This paper reviews utility efficiency programmes in nine jurisdictions in North America and analyses how the seasonal Peak-energy relationship differs between commercial and industrial (C&I) and residential sectors, among efficiency measures. In terms of the seasonal difference in Peak Demand impacts, these programmes show that residential lighting and residential water heating can deliver greater Peak savings in weekday early evening winter Peak periods. By contrast, C&I lighting and residential appliances make higher Peak savings in weekday afternoon summer Peak periods. A seasonal difference is more significant in lighting, especially residential lighting, than other measures. The evidence from North America also suggests that space cooling in both sectors and C&I lighting may well make greater Peak savings relative to non-Peak impacts than other measures during summer Peak periods, while in winter Peak periods, residential lighting can achieve greater Peak savings relative to non-Peak impacts. This review highlights the significance of regional electricity use patterns along with climatic and regulatory conditions and indicates how further research may contribute to appropriate electricity Demand reduction programme design and monitoring regimes in particular regions.
A P Agalgaonkar - One of the best experts on this subject based on the ideXlab platform.
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an effective power dispatch control strategy to improve generation schedulability and supply reliability of a wind farm using a battery energy storage System
IEEE Transactions on Sustainable Energy, 2015Co-Authors: Abu Abdullah, Kashem M Muttaqi, D Sutanto, A P AgalgaonkarAbstract:The uncertainty in the availability of wind generation and the lack of coincidence between wind generation and System Peak Demand make wind farms (WFs) to be nondispatchable energy resources and impose limits on the potential penetration of wind generation in the generation mix. Battery energy storage Systems (BESSs) integrated with WFs can reduce the variability of wind generation output allowing them to be dispatched for the network support, especially under Peak load conditions. This paper proposes an effective power dispatch control strategy of WFs with the aid of BESSs to improve the supply reliability taking into account the uncertainties in wind generation output and load Demand. A stochastic programming model is formulated considering uncertainty in wind generation and energy price to schedule WF dispatch. A novel rank-based BESS dispatch control algorithm is developed to achieve the assured WF power output levels for dispatch. Also, the application of the power dispatch control strategy is presented with the simulation study. Simulation results suggest that the implementation of the proposed strategy will improve supply reliability and revenue stream of the WFs.
Abu Abdullah - One of the best experts on this subject based on the ideXlab platform.
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an effective power dispatch control strategy to improve generation schedulability and supply reliability of a wind farm using a battery energy storage System
IEEE Transactions on Sustainable Energy, 2015Co-Authors: Abu Abdullah, Kashem M Muttaqi, D Sutanto, A P AgalgaonkarAbstract:The uncertainty in the availability of wind generation and the lack of coincidence between wind generation and System Peak Demand make wind farms (WFs) to be nondispatchable energy resources and impose limits on the potential penetration of wind generation in the generation mix. Battery energy storage Systems (BESSs) integrated with WFs can reduce the variability of wind generation output allowing them to be dispatched for the network support, especially under Peak load conditions. This paper proposes an effective power dispatch control strategy of WFs with the aid of BESSs to improve the supply reliability taking into account the uncertainties in wind generation output and load Demand. A stochastic programming model is formulated considering uncertainty in wind generation and energy price to schedule WF dispatch. A novel rank-based BESS dispatch control algorithm is developed to achieve the assured WF power output levels for dispatch. Also, the application of the power dispatch control strategy is presented with the simulation study. Simulation results suggest that the implementation of the proposed strategy will improve supply reliability and revenue stream of the WFs.
Alice Shiu - One of the best experts on this subject based on the ideXlab platform.
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KWh effects of residential optional dynamic pricing: Winter evidence from British Columbia, Canada
The Electricity Journal, 2016Co-Authors: Chi Keung Woo, Jay Zarnikau, Alice ShiuAbstract:Abstarct Using a large sample of customer-day observations from BC Hydro’s residential optional dynamic pricing pilot for the winter-Peaking city of Campbell River in British Columbia, Canada, we estimate a System of two electricity Demand regressions for daily Peak and off-Peak periods during November 2007 to February 2008. Our findings support using automatic load control-enhanced dynamic pricing to shave a smart electric grid’s System Peak Demand and improve the grid’s capacity utilization.
Mehrdad Kazerani - One of the best experts on this subject based on the ideXlab platform.
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Smart Operation of Electric Vehicles With Four-Quadrant Chargers Considering Uncertainties
IEEE Transactions on Smart Grid, 2019Co-Authors: Nafeesa Mehboob, Claudio A. Canizares, Catherine Rosenberg, Mauricio Restrepo, Mehrdad KazeraniAbstract:Given the expected impact of electric vehicle (EV) charging on power grids, this paper presents a novel two-step approach for the smart operation of EVs with four-quadrant chargers in a primary distribution feeder, accounting for the uncertainties associated with EVs, and considering the perspectives of both the utility and the EV owners. In the first step of the proposed approach, the mean daily feeder Peak Demand and corresponding hourly feeder control schedules, such as taps and switched capacitor setpoints, considering the bidirectional active and reactive power transactions between EVs and the grid, are determined. A nonparametric bootstrap technique is used, in conjunction with a genetic algorithm-based optimization model, to account for EV uncertainties and discrete variables. In the second step, the maximum possible power that can be given to connected EVs at each node, while providing active and/or reactive power to maintain the Peak Demand value and corresponding feeder dispatch schedules defined in the first step, is computed every few minutes in a way which is fair to the EVs. The proposed approach is validated using the distribution feeder model of a real primary feeder in Ontario, Canada, considering significant EV penetration levels. The results show that the proposed approach could be implemented in practice to properly operate EVs, satisfying feeder, and Peak Demand constraints, which would be better than the business-as-usual practice or a popular heuristic method in terms of number of tap operations, System Peak Demand, and voltage regulation.
