The Experts below are selected from a list of 108 Experts worldwide ranked by ideXlab platform
Mohammad Asadullah - One of the best experts on this subject based on the ideXlab platform.
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barriers of commercial power generation using biomass gasification gas a review
Renewable & Sustainable Energy Reviews, 2014Co-Authors: Mohammad AsadullahAbstract:Abstract Gasification is one of the promising technologies to convert biomass to gaseous fuels for distributed power generation. However, the commercial exploitation of biomass energy suffers from a number of logistics and technological challenges. In this review, the barriers in each of the steps from the collection of biomass to Electricity generation are highlighted. The effects of parameters in supply chain management, pretreatment and conversion of biomass to gas, and cleaning and utilization of gas for power generation are discussed. Based on the studies, until recently, the gasification of biomass and gas cleaning are the most challenging part. For Electricity generation, either using engine or gas turbine requires a stringent specification of gas composition and tar concentration in the product gas. Different types of updraft and downdraft gasifiers have been developed for gasification and a number of physical and catalytic tar separation methods have been investigated. However, the most efficient and popular one is yet to be developed for commercial purpose. In fact, the efficient gasification and gas cleaning methods can produce highly burnable gas with less tar content, so as to reduce the total consumption of biomass for a desired Quantity of Electricity generation. According to the recent report, an advanced gasification method with efficient tar cleaning can significantly reduce the biomass consumption, and thus the logistics and biomass pretreatment problems can be ultimately reduced.
Stefan Spinler - One of the best experts on this subject based on the ideXlab platform.
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optimal design of feed in tariffs to stimulate renewable energy investments under regulatory uncertainty a real options analysis
Energy Economics, 2016Co-Authors: Ingmar Ritzenhofen, Stefan SpinlerAbstract:Feed-in-tariffs (FITs) are widely used as policy instruments to promote investments in renewable energy sources (RES). While FITs are often regarded as the most effective RES support scheme, regulators around the world continuously review their FIT schemes in the light of budget constraints and evolving policy goals. We assess the impact of adjustments to FIT schemes by quantifying the relationship between FIT levels, i.e., the guaranteed amount paid per Quantity of Electricity produced and the propensity to invest in RES. Through a regime switching model, we quantify the impact of regulatory uncertainty induced by regulators considering moves from a FIT scheme to a more market-oriented regulatory regime. Our focus is on market-independent, fixed FITs, the dominant scheme in Europe receiving increasing attention globally. We find that RES investment projects under market-independent, fixed FIT schemes become now-or-never decisions and derive FIT thresholds required to induce investment. We show that uncertainty regarding future regulatory regimes delays or even reduces investment activity for FIT levels near Electricity market prices and high probabilities of an imminent regime switch.
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optimal design of feed in tariffs to stimulate renewable energy investments under regulatory uncertainty a real options analysis
2013Co-Authors: Ingmar Ritzenhofen, Stefan SpinlerAbstract:Feed-in-tariffs (FITs) are widely used as policy instruments to promote investments in renewable energy sources (RES). While FITs are often regarded the most effective RES support scheme, regulators around the world continuously review their FIT schemes in the light of budget constraints and evolving policy goals. We assess the impact of adjustments to FIT schemes by quantifying the relationship between FIT levels, i.e. the guaranteed amount paid per Quantity of Electricity produced, and the propensity to invest in RES. Through a regime switching model, we quantify the impact of regulatory uncertainty induced by regulators considering moves from a FIT scheme to a more market-oriented regulatory regime. Our focus is on market-independent, fixed FITs, the dominant scheme in Europe receiving increasing attention globally. We find that RES investment projects under market-independent, fixed FIT schemes become now-or-never decisions and derive FIT thresholds required to induce investment. We show that uncertainty regarding future regulatory regimes only alters investment behavior for FIT levels near Electricity spot market prices and high probabilities of an imminent regime switch.
Erin T Mansur - One of the best experts on this subject based on the ideXlab platform.
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is real time pricing green the environmental impacts of Electricity demand variance
The Review of Economics and Statistics, 2008Co-Authors: Stephen P Holland, Erin T MansurAbstract:Real-time pricing (RTP) of Electricity would improve allocative efficiency and limit wholesalers' market power. Conventional wisdom claims that RTP provides additional environmental benefits. This paper argues that RTP will reduce the variance, both within- and across-days, in the Quantity of Electricity demanded. We estimate the short-run impacts of this reduction on SO_2, NO_x, and CO_2 emissions. Reducing variance decreases emissions in regions where peak demand is met more by oil-fired capacity than by hydropower, such as the Mid-Atlantic. However, reducing variance increases emissions in more U.S. regions, namely those with more hydropower like the West. The effects are relatively small. Copyright by the President and Fellows of Harvard College and the Massachusetts Institute of Technology.
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is real time pricing green the environmental impacts of Electricity demand variance
Center for the Study of Energy Markets, 2008Co-Authors: Stephen P Holland, Erin T MansurAbstract:Real-time pricing (RTP) of Electricity would improve allocative efficiency and limit wholesalers’ market power. Conventional wisdom claims that RTP provides additional environmental benefits. This paper argues that RTP will reduce the variance, both within- and across-days, in the Quantity of Electricity demanded. We estimate the short-run impacts of this reduction on SO 2 , NO x , and CO 2 emissions. Reducing variance decreases emissions in regions where peak demand is met more by oil-fired capacity than by hydropower, such as the Mid-Atlantic. However, reducing variance increases emissions in more U.S. regions, namely those with more hydropower like the West. The effects are relatively small.
Ingmar Ritzenhofen - One of the best experts on this subject based on the ideXlab platform.
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optimal design of feed in tariffs to stimulate renewable energy investments under regulatory uncertainty a real options analysis
Energy Economics, 2016Co-Authors: Ingmar Ritzenhofen, Stefan SpinlerAbstract:Feed-in-tariffs (FITs) are widely used as policy instruments to promote investments in renewable energy sources (RES). While FITs are often regarded as the most effective RES support scheme, regulators around the world continuously review their FIT schemes in the light of budget constraints and evolving policy goals. We assess the impact of adjustments to FIT schemes by quantifying the relationship between FIT levels, i.e., the guaranteed amount paid per Quantity of Electricity produced and the propensity to invest in RES. Through a regime switching model, we quantify the impact of regulatory uncertainty induced by regulators considering moves from a FIT scheme to a more market-oriented regulatory regime. Our focus is on market-independent, fixed FITs, the dominant scheme in Europe receiving increasing attention globally. We find that RES investment projects under market-independent, fixed FIT schemes become now-or-never decisions and derive FIT thresholds required to induce investment. We show that uncertainty regarding future regulatory regimes delays or even reduces investment activity for FIT levels near Electricity market prices and high probabilities of an imminent regime switch.
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optimal design of feed in tariffs to stimulate renewable energy investments under regulatory uncertainty a real options analysis
2013Co-Authors: Ingmar Ritzenhofen, Stefan SpinlerAbstract:Feed-in-tariffs (FITs) are widely used as policy instruments to promote investments in renewable energy sources (RES). While FITs are often regarded the most effective RES support scheme, regulators around the world continuously review their FIT schemes in the light of budget constraints and evolving policy goals. We assess the impact of adjustments to FIT schemes by quantifying the relationship between FIT levels, i.e. the guaranteed amount paid per Quantity of Electricity produced, and the propensity to invest in RES. Through a regime switching model, we quantify the impact of regulatory uncertainty induced by regulators considering moves from a FIT scheme to a more market-oriented regulatory regime. Our focus is on market-independent, fixed FITs, the dominant scheme in Europe receiving increasing attention globally. We find that RES investment projects under market-independent, fixed FIT schemes become now-or-never decisions and derive FIT thresholds required to induce investment. We show that uncertainty regarding future regulatory regimes only alters investment behavior for FIT levels near Electricity spot market prices and high probabilities of an imminent regime switch.
Stephen P Holland - One of the best experts on this subject based on the ideXlab platform.
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is real time pricing green the environmental impacts of Electricity demand variance
The Review of Economics and Statistics, 2008Co-Authors: Stephen P Holland, Erin T MansurAbstract:Real-time pricing (RTP) of Electricity would improve allocative efficiency and limit wholesalers' market power. Conventional wisdom claims that RTP provides additional environmental benefits. This paper argues that RTP will reduce the variance, both within- and across-days, in the Quantity of Electricity demanded. We estimate the short-run impacts of this reduction on SO_2, NO_x, and CO_2 emissions. Reducing variance decreases emissions in regions where peak demand is met more by oil-fired capacity than by hydropower, such as the Mid-Atlantic. However, reducing variance increases emissions in more U.S. regions, namely those with more hydropower like the West. The effects are relatively small. Copyright by the President and Fellows of Harvard College and the Massachusetts Institute of Technology.
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is real time pricing green the environmental impacts of Electricity demand variance
Center for the Study of Energy Markets, 2008Co-Authors: Stephen P Holland, Erin T MansurAbstract:Real-time pricing (RTP) of Electricity would improve allocative efficiency and limit wholesalers’ market power. Conventional wisdom claims that RTP provides additional environmental benefits. This paper argues that RTP will reduce the variance, both within- and across-days, in the Quantity of Electricity demanded. We estimate the short-run impacts of this reduction on SO 2 , NO x , and CO 2 emissions. Reducing variance decreases emissions in regions where peak demand is met more by oil-fired capacity than by hydropower, such as the Mid-Atlantic. However, reducing variance increases emissions in more U.S. regions, namely those with more hydropower like the West. The effects are relatively small.
