Modeling and computation of energy efficiency management with emission permits trading

In this paper, we present an optimal feedback control model to deal with the problem of energy efficiency management. Especially, an emission permits trading scheme is considered in our model, in which the decision maker can trade the emission permits exibly. We make use of the optimal control theor...

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Main Authors: Zhang, S., Wang, X., Wang, Song
Format: Journal Article
Published: American Institute of Mathematical Sciences 2018
Online Access:http://hdl.handle.net/20.500.11937/71225
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author Zhang, S.
Wang, X.
Wang, Song
author_facet Zhang, S.
Wang, X.
Wang, Song
author_sort Zhang, S.
building Curtin Institutional Repository
collection Online Access
description In this paper, we present an optimal feedback control model to deal with the problem of energy efficiency management. Especially, an emission permits trading scheme is considered in our model, in which the decision maker can trade the emission permits exibly. We make use of the optimal control theory to derive a Hamilton-Jacobi-Bellman (HJB) equation satisfied by the value function, and then propose an upwind finite difference method to solve it. The stability of this method is demonstrated and the accuracy, as well as the usefulness, is shown by the numerical examples. The optimal management strategies, which maximize the discounted stream of the net revenue, together with the value functions, are obtained. The effects of the emission permits price and other parameters in the established model on the results have been also examined. We find that the in uences of emission permits price on net revenue for the economic agents with different initial quotas are quite different. All the results demonstrate that the emission permits trading scheme plays an important role in the energy efficiency management.
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institution Curtin University Malaysia
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spelling curtin-20.500.11937-712252019-03-06T06:57:13Z Modeling and computation of energy efficiency management with emission permits trading Zhang, S. Wang, X. Wang, Song In this paper, we present an optimal feedback control model to deal with the problem of energy efficiency management. Especially, an emission permits trading scheme is considered in our model, in which the decision maker can trade the emission permits exibly. We make use of the optimal control theory to derive a Hamilton-Jacobi-Bellman (HJB) equation satisfied by the value function, and then propose an upwind finite difference method to solve it. The stability of this method is demonstrated and the accuracy, as well as the usefulness, is shown by the numerical examples. The optimal management strategies, which maximize the discounted stream of the net revenue, together with the value functions, are obtained. The effects of the emission permits price and other parameters in the established model on the results have been also examined. We find that the in uences of emission permits price on net revenue for the economic agents with different initial quotas are quite different. All the results demonstrate that the emission permits trading scheme plays an important role in the energy efficiency management. 2018 Journal Article http://hdl.handle.net/20.500.11937/71225 10.3934/jimo.2018010 American Institute of Mathematical Sciences restricted
spellingShingle Zhang, S.
Wang, X.
Wang, Song
Modeling and computation of energy efficiency management with emission permits trading
title Modeling and computation of energy efficiency management with emission permits trading
title_full Modeling and computation of energy efficiency management with emission permits trading
title_fullStr Modeling and computation of energy efficiency management with emission permits trading
title_full_unstemmed Modeling and computation of energy efficiency management with emission permits trading
title_short Modeling and computation of energy efficiency management with emission permits trading
title_sort modeling and computation of energy efficiency management with emission permits trading
url http://hdl.handle.net/20.500.11937/71225