Supply Curve

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The Experts below are selected from a list of 294 Experts worldwide ranked by ideXlab platform

Da Zhang - One of the best experts on this subject based on the ideXlab platform.

  • capturing natural resource heterogeneity in top down energy economic equilibrium models
    Energy Economics, 2018
    Co-Authors: Sebastian Rausch, Da Zhang
    Abstract:

    Top-down energy-economic modeling approaches often use simplified techniques to represent heterogeneous resource inputs to production. We show that for some policies, such as feed-in tariffs for renewable electricity, detailed representation of renewable resource grades is required to describe the technology more precisely and identify cost-effective policy designs. We demonstrate the hybrid approach for modeling heterogeneity in the quality of natural resource inputs required for renewable energy production in a stylized computable general equilibrium framework. Importantly, compared to the traditional approach, the hybrid approach resolves near-flat or near-vertical sections of the Supply Curve and improves the precision of policy simulation. We then represent the shape of a resource Supply Curve based on more detailed data. We show that for the case of onshore wind development in China, a differentiated feed-in tariff design that can only be modeled with the hybrid approach requires less than half of the subsidy budget needed for a uniform feed-in tariff design to achieve the same installation targets.

Daniel Sperling - One of the best experts on this subject based on the ideXlab platform.

  • greenhouse gas mitigation Supply Curve for the united states for transport versus other sectors
    Transportation Research Part D-transport and Environment, 2009
    Co-Authors: Nic Lutsey, Daniel Sperling
    Abstract:

    Abstract To compare transportation greenhouse gas mitigation options with other sectors, we construct greenhouse gas mitigation Supply Curves of near-term technologies for all the major sectors of the US economy. Our findings indicate that motor vehicles and fuels are attractive candidates for reducing GHGs in the near and medium term. Transport technologies and fuels represent about half of the GHG mitigation options that have net-positive benefits – so-called “no regrets” strategies – and about 20% of the most cost-effective options to reduce GHGs to 10% below 1990 levels by 2030.

Stephan Paredes - One of the best experts on this subject based on the ideXlab platform.

  • forecast study of the Supply Curve of solar and wind technologies in argentina brazil chile and mexico
    Renewable Energy, 2016
    Co-Authors: Veronica Garciaheller, Ramon Espinasa, Stephan Paredes
    Abstract:

    This paper forecasts the Supply Curve of non-conventional renewable technologies such as wind and solar generating stations in Argentina, Brazil, Chile and Mexico using technological and economic parameters. It also estimates the additional investment costs in solar and wind generation for reaching the renewable energy target in each of these countries. To assess the power Supply profile from 1 axis tracking PV and horizontal axis wind turbine (three blade) stations, two different scenarios are developed for 2014 and 2025. Scenario 1 estimates the PV and wind annual electricity yield by using polycrystalline silicon (cSi poly) as semiconductor material for PV cells and a Vestas 90–3.0 MW turbine for the wind for 2014.

B M Jenkins - One of the best experts on this subject based on the ideXlab platform.

  • development of a biorefinery optimized biofuel Supply Curve for the western united states
    Biomass & Bioenergy, 2010
    Co-Authors: Nathan Parker, Peter Tittmann, Quinn Hart, Richard G Nelson, Ken Skog, Anneliese Schmidt, Edward Gray, B M Jenkins
    Abstract:

    A resource assessment and biorefinery siting optimization model was developed and implemented to assess potential biofuel Supply across the Western United States from agricultural, forest, urban, and energy crop biomass. Spatial information including feedstock resources, existing and potential refinery locations and a transportation network model is provided to a mixed integer-linear optimization model that determines the optimal locations, technology types and sizes of biorefineries to satisfy a maximum profit objective function applied across the biofuel Supply and demand chain from site of feedstock production to the product fuel terminal. The resource basis includes preliminary considerations of crop and residue sustainability. Sensitivity analyses explore possible effects of policy and technology changes. At a target market price of 19.6 $ GJ−1, the model predicts a feasible production level of 610–1098 PJ, enough to Supply up to 15% of current regional liquid transportation fuel demand.

Gustavo Yamada - One of the best experts on this subject based on the ideXlab platform.

  • a downward sloping labor Supply Curve the case of peru
    Review of Development Economics, 2008
    Co-Authors: Gustavo Yamada
    Abstract:

    The author finds evidence of a downward-sloping labor Supply Curve for urban areas in Peru from cross-sectional household data for 2002 and pooled data for available years from 1985 to 2000. Individuals respond to lower hourly earnings with an increase in the quantity supplied of work hours. This behavior would help to explain the increasing trend in average work hours in Peru (this average for male workers in Lima, the capital city, rose from 50.5 to 53.9 weekly hours between 1985 and 2000; meanwhile, 33.4% of workers had weekly schedules above 60 hours in 2002). Another finding is the increase in hours supplied due to pressure from the more numerous cohorts recently entering the Peruvian labor market.

  • A Downward-Sloping Labor Supply Curve: The Case of Peru
    Review of Development Economics, 2008
    Co-Authors: Gustavo Yamada
    Abstract:

    The author finds evidence of a downward-sloping labor Supply Curve for urban areas in Peru from cross-sectional household data for 2002 and pooled data for available years from 1985 to 2000. Individuals respond to lower hourly earnings with an increase in the quantity supplied of work hours. This behavior would help to explain the increasing trend in average work hours in Peru (this average for male workers in Lima, the capital city, rose from 50.5 to 53.9 weekly hours between 1985 and 2000; meanwhile, 33.4% of workers had weekly schedules above 60 hours in 2002). Another finding is the increase in hours supplied due to pressure from the more numerous cohorts recently entering the Peruvian labor market. Copyright � 2008 The Author. Journal compilation � 2008 Blackwell Publishing Ltd.