Optimal Emissions Reduction Investment under Green House Gas Emissions Regulations
نویسندگان
چکیده
In emissions intensive industries such as iron and cement, manufacturers can invest to reduce carbon emissions. Under carbon regulations, their investment decisions will change the cost structure of production. We study the joint production and investment decisions under command-andcontrol and market-based regulations for a manufacturer. Market-based regulations include carbon tax and cap-and-trade, either gratis or auctioned. This provides insight for both manufacturers and policy makers about the influence of carbon regulations on firm profit and emissions reduction. ∗[email protected] †[email protected]
منابع مشابه
Carbon constrained design of energy infrastructure for new build schemes
The carbon constrained design of energy supply infrastructure for new build schemes was investigated. This was considered as an optimization problem with the objective of finding the mix of on-site energy supply technologies that meet green house gas emissions targets at a minimum build cost to the developer. An integrated design tool was developed by combining a social cognitive optimisation s...
متن کاملPresenting a Multi Objective Model for Supplier Selection in Order to Reduce Green House Gas Emission under Uncertion Demand
Recently, much attention has been given to Stochastic demand due to uncertainty in the real -world. In the literature, decision-making models and suppliers' selection do not often consider inventory management as part of shopping problems. On the other hand, the environmental sustainability of a supply chain depends on the shopping strategy of the supply chain members. The supplier selection pl...
متن کاملModeling and Optimization of Energy Inputs and Greenhouse Gas Emissions for Eggplant Production Using Artificial Neural Network and Multi-Objective Genetic Algorithm
This paper studies the modeling and optimization of energy use and greenhouse gas emissions of eggplant production using artificial neural network and multi-objective genetic algorithm in Guilan province of Iran. Results showed that the highest share of energy consumption belongs to diesel fuel (49.24%); followed by nitrogen (33.30%). The results indicated that a total energy input of 13910.67 ...
متن کاملModeling and Optimization of Energy Inputs and Greenhouse Gas Emissions for Eggplant Production Using Artificial Neural Network and Multi-Objective Genetic Algorithm
This paper studies the modeling and optimization of energy use and greenhouse gas emissions of eggplant production using artificial neural network and multi-objective genetic algorithm in Guilan province of Iran. Results showed that the highest share of energy consumption belongs to diesel fuel (49.24%); followed by nitrogen (33.30%). The results indicated that a total energy input of 13910.67 ...
متن کاملEstimation of gas emission released from a municipal solid waste landfill site through a modeling approach: A case study, Sanandaj, Iran
Sanitary landfill is the common strategy for municipal solid waste management in developing countries. Anaerobic decomposition of disposed wastes in landfill under favorable conditions will lead to the landfill gas (LFG) emissions, considering as emerging air pollutants. The emission of greenhouse gases, including methane, resulting from municipal solid waste disposal and treatment processes ar...
متن کامل